Algorithms: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.Computational Biology: A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.Software: Sequential operating programs and data which instruct the functioning of a digital computer.Dataset: Works consisting of organized collections of data, which have been stored permanently in a formalized manner suitable for communication, interpretation, or processing.Databases, Genetic: Databases devoted to knowledge about specific genes and gene products.Gene Expression Profiling: The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.Artificial Intelligence: Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language.Databases, Factual: Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.Cluster Analysis: A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.Pattern Recognition, Automated: In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)Databases, Protein: Databases containing information about PROTEINS such as AMINO ACID SEQUENCE; PROTEIN CONFORMATION; and other properties.Models, Statistical: Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.Reproducibility of Results: The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.Sequence Analysis, Protein: A process that includes the determination of AMINO ACID SEQUENCE of a protein (or peptide, oligopeptide or peptide fragment) and the information analysis of the sequence.Oligonucleotide Array Sequence Analysis: Hybridization of a nucleic acid sample to a very large set of OLIGONUCLEOTIDE PROBES, which have been attached individually in columns and rows to a solid support, to determine a BASE SEQUENCE, or to detect variations in a gene sequence, GENE EXPRESSION, or for GENE MAPPING.Bayes Theorem: A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.Computer Simulation: Computer-based representation of physical systems and phenomena such as chemical processes.Support Vector Machines: Learning algorithms which are a set of related supervised computer learning methods that analyze data and recognize patterns, and used for classification and regression analysis.Phylogeny: The relationships of groups of organisms as reflected by their genetic makeup.Models, Genetic: Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.Data Interpretation, Statistical: Application of statistical procedures to analyze specific observed or assumed facts from a particular study.Sequence Analysis, DNA: A multistage process that includes cloning, physical mapping, subcloning, determination of the DNA SEQUENCE, and information analysis.Proteins: Linear POLYPEPTIDES that are synthesized on RIBOSOMES and may be further modified, crosslinked, cleaved, or assembled into complex proteins with several subunits. The specific sequence of AMINO ACIDS determines the shape the polypeptide will take, during PROTEIN FOLDING, and the function of the protein.Data Mining: Use of sophisticated analysis tools to sort through, organize, examine, and combine large sets of information.Polymorphism, Single Nucleotide: A single nucleotide variation in a genetic sequence that occurs at appreciable frequency in the population.Internet: A loose confederation of computer communication networks around the world. The networks that make up the Internet are connected through several backbone networks. The Internet grew out of the US Government ARPAnet project and was designed to facilitate information exchange.Genomics: The systematic study of the complete DNA sequences (GENOME) of organisms.Principal Component Analysis: Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components.Expressed Sequence Tags: Partial cDNA (DNA, COMPLEMENTARY) sequences that are unique to the cDNAs from which they were derived.Molecular Sequence Annotation: The addition of descriptive information about the function or structure of a molecular sequence to its MOLECULAR SEQUENCE DATA record.Sequence Alignment: The arrangement of two or more amino acid or base sequences from an organism or organisms in such a way as to align areas of the sequences sharing common properties. The degree of relatedness or homology between the sequences is predicted computationally or statistically based on weights assigned to the elements aligned between the sequences. This in turn can serve as a potential indicator of the genetic relatedness between the organisms.Protein Interaction Mapping: Methods for determining interaction between PROTEINS.Likelihood Functions: Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.User-Computer Interface: The portion of an interactive computer program that issues messages to and receives commands from a user.Genome-Wide Association Study: An analysis comparing the allele frequencies of all available (or a whole GENOME representative set of) polymorphic markers in unrelated patients with a specific symptom or disease condition, and those of healthy controls to identify markers associated with a specific disease or condition.Neural Networks (Computer): A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.Transcriptome: The pattern of GENE EXPRESSION at the level of genetic transcription in a specific organism or under specific circumstances in specific cells.Sensitivity and Specificity: Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)Proteome: The protein complement of an organism coded for by its genome.Information Storage and Retrieval: Organized activities related to the storage, location, search, and retrieval of information.ROC Curve: A graphic means for assessing the ability of a screening test to discriminate between healthy and diseased persons; may also be used in other studies, e.g., distinguishing stimuli responses as to a faint stimuli or nonstimuli.Models, Biological: Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.Discriminant Analysis: A statistical analytic technique used with discrete dependent variables, concerned with separating sets of observed values and allocating new values. It is sometimes used instead of regression analysis.Databases, Nucleic Acid: Databases containing information about NUCLEIC ACIDS such as BASE SEQUENCE; SNPS; NUCLEIC ACID CONFORMATION; and other properties. Information about the DNA fragments kept in a GENE LIBRARY or GENOMIC LIBRARY is often maintained in DNA databases.Evolution, Molecular: The process of cumulative change at the level of DNA; RNA; and PROTEINS, over successive generations.Image Interpretation, Computer-Assisted: Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.Genome, Human: The complete genetic complement contained in the DNA of a set of CHROMOSOMES in a HUMAN. The length of the human genome is about 3 billion base pairs.Genome: The genetic complement of an organism, including all of its GENES, as represented in its DNA, or in some cases, its RNA.Genetic Variation: Genotypic differences observed among individuals in a population.Gene Regulatory Networks: Interacting DNA-encoded regulatory subsystems in the GENOME that coordinate input from activator and repressor TRANSCRIPTION FACTORS during development, cell differentiation, or in response to environmental cues. The networks function to ultimately specify expression of particular sets of GENES for specific conditions, times, or locations.High-Throughput Nucleotide Sequencing: Techniques of nucleotide sequence analysis that increase the range, complexity, sensitivity, and accuracy of results by greatly increasing the scale of operations and thus the number of nucleotides, and the number of copies of each nucleotide sequenced. The sequencing may be done by analysis of the synthesis or ligation products, hybridization to preexisting sequences, etc.Geography: The science dealing with the earth and its life, especially the description of land, sea, and air and the distribution of plant and animal life, including humanity and human industries with reference to the mutual relations of these elements. (From Webster, 3d ed)Markov Chains: A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system.Models, Theoretical: Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.Sequence Analysis, RNA: A multistage process that includes cloning, physical mapping, subcloning, sequencing, and information analysis of an RNA SEQUENCE.Proteomics: The systematic study of the complete complement of proteins (PROTEOME) of organisms.Image Processing, Computer-Assisted: A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.Imaging, Three-Dimensional: The process of generating three-dimensional images by electronic, photographic, or other methods. For example, three-dimensional images can be generated by assembling multiple tomographic images with the aid of a computer, while photographic 3-D images (HOLOGRAPHY) can be made by exposing film to the interference pattern created when two laser light sources shine on an object.Diagnosis, Computer-Assisted: Application of computer programs designed to assist the physician in solving a diagnostic problem.Genotype: The genetic constitution of the individual, comprising the ALLELES present at each GENETIC LOCUS.Position-Specific Scoring Matrices: Tabular numerical representations of sequence motifs displaying their variability as likelihood values for each possible residue at each position in a sequence. Position-specific scoring matrices (PSSMs) are calculated from position frequency matrices.Classification: The systematic arrangement of entities in any field into categories classes based on common characteristics such as properties, morphology, subject matter, etc.Computer Graphics: The process of pictorial communication, between human and computers, in which the computer input and output have the form of charts, drawings, or other appropriate pictorial representation.Fuzzy Logic: Approximate, quantitative reasoning that is concerned with the linguistic ambiguity which exists in natural or synthetic language. At its core are variables such as good, bad, and young as well as modifiers such as more, less, and very. These ordinary terms represent fuzzy sets in a particular problem. Fuzzy logic plays a key role in many medical expert systems.Chromosome Mapping: Any method used for determining the location of and relative distances between genes on a chromosome.Metagenomics: The genomic analysis of assemblages of organisms.DNA Barcoding, Taxonomic: Techniques for standardizing and expediting taxonomic identification or classification of organisms that are based on deciphering the sequence of one or a few regions of DNA known as the "DNA barcode".Molecular Sequence Data: Descriptions of specific amino acid, carbohydrate, or nucleotide sequences which have appeared in the published literature and/or are deposited in and maintained by databanks such as GENBANK, European Molecular Biology Laboratory (EMBL), National Biomedical Research Foundation (NBRF), or other sequence repositories.Species Specificity: The restriction of a characteristic behavior, anatomical structure or physical system, such as immune response; metabolic response, or gene or gene variant to the members of one species. It refers to that property which differentiates one species from another but it is also used for phylogenetic levels higher or lower than the species.Databases as Topic: Organized collections of computer records, standardized in format and content, that are stored in any of a variety of computer-readable modes. They are the basic sets of data from which computer-readable files are created. (from ALA Glossary of Library and Information Science, 1983)Geographic Mapping: Creating a representation of areas of the earth or other celestial bodies, for the purpose of visualizing spatial distributions of various information.Database Management Systems: Software designed to store, manipulate, manage, and control data for specific uses.Decision Trees: A graphic device used in decision analysis, series of decision options are represented as branches (hierarchical).Linear Models: Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression.Normal Distribution: Continuous frequency distribution of infinite range. Its properties are as follows: 1, continuous, symmetrical distribution with both tails extending to infinity; 2, arithmetic mean, mode, and median identical; and 3, shape completely determined by the mean and standard deviation.Genetic Predisposition to Disease: A latent susceptibility to disease at the genetic level, which may be activated under certain conditions.Image Enhancement: Improvement of the quality of a picture by various techniques, including computer processing, digital filtering, echocardiographic techniques, light and ultrastructural MICROSCOPY, fluorescence spectrometry and microscopy, scintigraphy, and in vitro image processing at the molecular level.Time Factors: Elements of limited time intervals, contributing to particular results or situations.Software Validation: The act of testing the software for compliance with a standard.Quantitative Structure-Activity Relationship: A quantitative prediction of the biological, ecotoxicological or pharmaceutical activity of a molecule. It is based upon structure and activity information gathered from a series of similar compounds.Automation: Controlled operation of an apparatus, process, or system by mechanical or electronic devices that take the place of human organs of observation, effort, and decision. (From Webster's Collegiate Dictionary, 1993)Natural Language Processing: Computer processing of a language with rules that reflect and describe current usage rather than prescribed usage.Least-Squares Analysis: A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.Epimedium: A plant genus of the family BERBERIDACEAE which is used in DRUGS, CHINESE HERBAL. Members contain flavonol glycosides including epimedins, icariin and noricariin.Metabolic Networks and Pathways: Complex sets of enzymatic reactions connected to each other via their product and substrate metabolites.Genetic Loci: Specific regions that are mapped within a GENOME. Genetic loci are usually identified with a shorthand notation that indicates the chromosome number and the position of a specific band along the P or Q arm of the chromosome where they are found. For example the locus 6p21 is found within band 21 of the P-arm of CHROMOSOME 6. Many well known genetic loci are also known by common names that are associated with a genetic function or HEREDITARY DISEASE.Genetic Markers: A phenotypically recognizable genetic trait which can be used to identify a genetic locus, a linkage group, or a recombination event.Genetics, Population: The discipline studying genetic composition of populations and effects of factors such as GENETIC SELECTION, population size, MUTATION, migration, and GENETIC DRIFT on the frequencies of various GENOTYPES and PHENOTYPES using a variety of GENETIC TECHNIQUES.Models, Molecular: Models used experimentally or theoretically to study molecular shape, electronic properties, or interactions; includes analogous molecules, computer-generated graphics, and mechanical structures.Epistasis, Genetic: A form of gene interaction whereby the expression of one gene interferes with or masks the expression of a different gene or genes. Genes whose expression interferes with or masks the effects of other genes are said to be epistatic to the effected genes. Genes whose expression is affected (blocked or masked) are hypostatic to the interfering genes.Biodiversity: The variety of all native living organisms and their various forms and interrelationships.Phenotype: The outward appearance of the individual. It is the product of interactions between genes, and between the GENOTYPE and the environment.Ecosystem: A functional system which includes the organisms of a natural community together with their environment. (McGraw Hill Dictionary of Scientific and Technical Terms, 4th ed)Radiographic Image Interpretation, Computer-Assisted: Computer systems or networks designed to provide radiographic interpretive information.Population Dynamics: The pattern of any process, or the interrelationship of phenomena, which affects growth or change within a population.Automatic Data Processing: Data processing largely performed by automatic means.Knowledge Bases: Collections of facts, assumptions, beliefs, and heuristics that are used in combination with databases to achieve desired results, such as a diagnosis, an interpretation, or a solution to a problem (From McGraw Hill Dictionary of Scientific and Technical Terms, 6th ed).Monte Carlo Method: In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993)Logistic Models: Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.Sample Size: The number of units (persons, animals, patients, specified circumstances, etc.) in a population to be studied. The sample size should be big enough to have a high likelihood of detecting a true difference between two groups. (From Wassertheil-Smoller, Biostatistics and Epidemiology, 1990, p95)Medical Record Linkage: The creation and maintenance of medical and vital records in multiple institutions in a manner that will facilitate the combined use of the records of identified individuals.HapMap Project: A coordinated international effort to identify and catalog patterns of linked variations (HAPLOTYPES) found in the human genome across the entire human population.Binding Sites: The parts of a macromolecule that directly participate in its specific combination with another molecule.Predictive Value of Tests: In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.Haplotypes: The genetic constitution of individuals with respect to one member of a pair of allelic genes, or sets of genes that are closely linked and tend to be inherited together such as those of the MAJOR HISTOCOMPATIBILITY COMPLEX.Subtraction Technique: Combination or superimposition of two images for demonstrating differences between them (e.g., radiograph with contrast vs. one without, radionuclide images using different radionuclides, radiograph vs. radionuclide image) and in the preparation of audiovisual materials (e.g., offsetting identical images, coloring of vessels in angiograms).Systems Integration: The procedures involved in combining separately developed modules, components, or subsystems so that they work together as a complete system. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)Linkage Disequilibrium: Nonrandom association of linked genes. This is the tendency of the alleles of two separate but already linked loci to be found together more frequently than would be expected by chance alone.Artifacts: Any visible result of a procedure which is caused by the procedure itself and not by the entity being analyzed. Common examples include histological structures introduced by tissue processing, radiographic images of structures that are not naturally present in living tissue, and products of chemical reactions that occur during analysis.Benchmarking: Method of measuring performance against established standards of best practice.Regression Analysis: Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.Probability: The study of chance processes or the relative frequency characterizing a chance process.Base Sequence: The sequence of PURINES and PYRIMIDINES in nucleic acids and polynucleotides. It is also called nucleotide sequence.Fossils: Remains, impressions, or traces of animals or plants of past geological times which have been preserved in the earth's crust.Statistical Distributions: The complete summaries of the frequencies of the values or categories of a measurement made on a group of items, a population, or other collection of data. The distribution tells either how many or what proportion of the group was found to have each value (or each range of values) out of all the possible values that the quantitative measure can have.Quality Control: A system for verifying and maintaining a desired level of quality in a product or process by careful planning, use of proper equipment, continued inspection, and corrective action as required. (Random House Unabridged Dictionary, 2d ed)Programming Languages: Specific languages used to prepare computer programs.Wavelet Analysis: Signal and data processing method that uses decomposition of wavelets to approximate, estimate, or compress signals with finite time and frequency domains. It represents a signal or data in terms of a fast decaying wavelet series from the original prototype wavelet, called the mother wavelet. This mathematical algorithm has been adopted widely in biomedical disciplines for data and signal processing in noise removal and audio/image compression (e.g., EEG and MRI).Brain: The part of CENTRAL NERVOUS SYSTEM that is contained within the skull (CRANIUM). Arising from the NEURAL TUBE, the embryonic brain is comprised of three major parts including PROSENCEPHALON (the forebrain); MESENCEPHALON (the midbrain); and RHOMBENCEPHALON (the hindbrain). The developed brain consists of CEREBRUM; CEREBELLUM; and other structures in the BRAIN STEM.Statistics as Topic: The science and art of collecting, summarizing, and analyzing data that are subject to random variation. The term is also applied to the data themselves and to the summarization of the data.Models, Chemical: Theoretical representations that simulate the behavior or activity of chemical processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment.Case-Control Studies: Studies which start with the identification of persons with a disease of interest and a control (comparison, referent) group without the disease. The relationship of an attribute to the disease is examined by comparing diseased and non-diseased persons with regard to the frequency or levels of the attribute in each group.Electronic Health Records: Media that facilitate transportability of pertinent information concerning patient's illness across varied providers and geographic locations. Some versions include direct linkages to online consumer health information that is relevant to the health conditions and treatments related to a specific patient.Risk Factors: An aspect of personal behavior or lifestyle, environmental exposure, or inborn or inherited characteristic, which, on the basis of epidemiologic evidence, is known to be associated with a health-related condition considered important to prevent.Biological Evolution: The process of cumulative change over successive generations through which organisms acquire their distinguishing morphological and physiological characteristics.Magnetic Resonance Imaging: Non-invasive method of demonstrating internal anatomy based on the principle that atomic nuclei in a strong magnetic field absorb pulses of radiofrequency energy and emit them as radiowaves which can be reconstructed into computerized images. The concept includes proton spin tomographic techniques.Radiographic Image Enhancement: Improvement in the quality of an x-ray image by use of an intensifying screen, tube, or filter and by optimum exposure techniques. Digital processing methods are often employed.Protein Interaction Maps: Graphs representing sets of measurable, non-covalent physical contacts with specific PROTEINS in living organisms or in cells.Biometry: The use of statistical and mathematical methods to analyze biological observations and phenomena.Amino Acid Sequence: The order of amino acids as they occur in a polypeptide chain. This is referred to as the primary structure of proteins. It is of fundamental importance in determining PROTEIN CONFORMATION.Conservation of Natural Resources: The protection, preservation, restoration, and rational use of all resources in the total environment.Environment: The external elements and conditions which surround, influence, and affect the life and development of an organism or population.Mass Spectrometry: An analytical method used in determining the identity of a chemical based on its mass using mass analyzers/mass spectrometers.United StatesReference Standards: A basis of value established for the measure of quantity, weight, extent or quality, e.g. weight standards, standard solutions, methods, techniques, and procedures used in diagnosis and therapy.Population Density: Number of individuals in a population relative to space.Anatomy, Cross-Sectional: Descriptive anatomy based on three-dimensional imaging (IMAGING, THREE-DIMENSIONAL) of the body, organs, and structures using a series of computer multiplane sections, displayed by transverse, coronal, and sagittal analyses. It is essential to accurate interpretation by the radiologist of such techniques as ultrasonic diagnosis, MAGNETIC RESONANCE IMAGING, and computed tomography (TOMOGRAPHY, X-RAY COMPUTED). (From Lane & Sharfaei, Modern Sectional Anatomy, 1992, Preface)Contig Mapping: Overlapping of cloned or sequenced DNA to construct a continuous region of a gene, chromosome or genome.Genes, Plant: The functional hereditary units of PLANTS.Gene Library: A large collection of DNA fragments cloned (CLONING, MOLECULAR) from a given organism, tissue, organ, or cell type. It may contain complete genomic sequences (GENOMIC LIBRARY) or complementary DNA sequences, the latter being formed from messenger RNA and lacking intron sequences.Conserved Sequence: A sequence of amino acids in a polypeptide or of nucleotides in DNA or RNA that is similar across multiple species. A known set of conserved sequences is represented by a CONSENSUS SEQUENCE. AMINO ACID MOTIFS are often composed of conserved sequences.Breast Neoplasms: Tumors or cancer of the human BREAST.Crowdsourcing: Social media model for enabling public involvement and recruitment in participation. Use of social media to collect feedback and recruit volunteer subjects.Climate: The longterm manifestations of WEATHER. (McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)Birds: Warm-blooded VERTEBRATES possessing FEATHERS and belonging to the class Aves.Quantitative Trait Loci: Genetic loci associated with a QUANTITATIVE TRAIT.Disease: A definite pathologic process with a characteristic set of signs and symptoms. It may affect the whole body or any of its parts, and its etiology, pathology, and prognosis may be known or unknown.Genome, Plant: The genetic complement of a plant (PLANTS) as represented in its DNA.Microsatellite Repeats: A variety of simple repeat sequences that are distributed throughout the GENOME. They are characterized by a short repeat unit of 2-8 basepairs that is repeated up to 100 times. They are also known as short tandem repeats (STRs).Genetic Association Studies: The analysis of a sequence such as a region of a chromosome, a haplotype, a gene, or an allele for its involvement in controlling the phenotype of a specific trait, metabolic pathway, or disease.DNA, Mitochondrial: Double-stranded DNA of MITOCHONDRIA. In eukaryotes, the mitochondrial GENOME is circular and codes for ribosomal RNAs, transfer RNAs, and about 10 proteins.Software Design: Specifications and instructions applied to the software.Genetic Linkage: The co-inheritance of two or more non-allelic GENES due to their being located more or less closely on the same CHROMOSOME.Risk Assessment: The qualitative or quantitative estimation of the likelihood of adverse effects that may result from exposure to specified health hazards or from the absence of beneficial influences. (Last, Dictionary of Epidemiology, 1988)Alleles: Variant forms of the same gene, occupying the same locus on homologous CHROMOSOMES, and governing the variants in production of the same gene product.PubMed: A bibliographic database that includes MEDLINE as its primary subset. It is produced by the National Center for Biotechnology Information (NCBI), part of the NATIONAL LIBRARY OF MEDICINE. PubMed, which is searchable through NLM's Web site, also includes access to additional citations to selected life sciences journals not in MEDLINE, and links to other resources such as the full-text of articles at participating publishers' Web sites, NCBI's molecular biology databases, and PubMed Central.EuropeGenome, Bacterial: The genetic complement of a BACTERIA as represented in its DNA.Area Under Curve: A statistical means of summarizing information from a series of measurements on one individual. It is frequently used in clinical pharmacology where the AUC from serum levels can be interpreted as the total uptake of whatever has been administered. As a plot of the concentration of a drug against time, after a single dose of medicine, producing a standard shape curve, it is a means of comparing the bioavailability of the same drug made by different companies. (From Winslade, Dictionary of Clinical Research, 1992)Genes, Neoplasm: Genes whose abnormal expression, or MUTATION are associated with the development, growth, or progression of NEOPLASMS.DNA Copy Number Variations: Stretches of genomic DNA that exist in different multiples between individuals. Many copy number variations have been associated with susceptibility or resistance to disease.Euglenida: A phylum of unicellular flagellates of ancient eukaryotic lineage with unclear taxonomy. They lack a CELL WALL but are covered by a proteinaceous flexible coat, the pellicle, that allows the cell to change shape. Historically some authorities considered them to be an order of protozoa and others classed them as ALGAE (some members have CHLOROPLASTS and some don't).Phylogeography: A field of study concerned with the principles and processes governing the geographic distributions of genealogical lineages, especially those within and among closely related species. (Avise, J.C., Phylogeography: The History and Formation of Species. Harvard University Press, 2000)Neoplasms: New abnormal growth of tissue. Malignant neoplasms show a greater degree of anaplasia and have the properties of invasion and metastasis, compared to benign neoplasms.Signal Processing, Computer-Assisted: Computer-assisted processing of electric, ultrasonic, or electronic signals to interpret function and activity.False Positive Reactions: Positive test results in subjects who do not possess the attribute for which the test is conducted. The labeling of healthy persons as diseased when screening in the detection of disease. (Last, A Dictionary of Epidemiology, 2d ed)Four-Dimensional Computed Tomography: Three-dimensional computed tomographic imaging with the added dimension of time, to follow motion during imaging.Trees: Woody, usually tall, perennial higher plants (Angiosperms, Gymnosperms, and some Pterophyta) having usually a main stem and numerous branches.Data Collection: Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.North AmericaMicroarray Analysis: The simultaneous analysis, on a microchip, of multiple samples or targets arranged in an array format.Population Groups: Individuals classified according to their sex, racial origin, religion, common place of living, financial or social status, or some other cultural or behavioral attribute. (UMLS, 2003)Gene Frequency: The proportion of one particular in the total of all ALLELES for one genetic locus in a breeding POPULATION.Prognosis: A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations.Multigene Family: A set of genes descended by duplication and variation from some ancestral gene. Such genes may be clustered together on the same chromosome or dispersed on different chromosomes. Examples of multigene families include those that encode the hemoglobins, immunoglobulins, histocompatibility antigens, actins, tubulins, keratins, collagens, heat shock proteins, salivary glue proteins, chorion proteins, cuticle proteins, yolk proteins, and phaseolins, as well as histones, ribosomal RNA, and transfer RNA genes. The latter three are examples of reiterated genes, where hundreds of identical genes are present in a tandem array. (King & Stanfield, A Dictionary of Genetics, 4th ed)Great BritainCohort Studies: Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics.Protein Conformation: The characteristic 3-dimensional shape of a protein, including the secondary, supersecondary (motifs), tertiary (domains) and quaternary structure of the peptide chain. PROTEIN STRUCTURE, QUATERNARY describes the conformation assumed by multimeric proteins (aggregates of more than one polypeptide chain).Retrospective Studies: Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons.Gene Expression: The phenotypic manifestation of a gene or genes by the processes of GENETIC TRANSCRIPTION and GENETIC TRANSLATION.Gene Expression Regulation: Any of the processes by which nuclear, cytoplasmic, or intercellular factors influence the differential control (induction or repression) of gene action at the level of transcription or translation.Eukaryota: One of the three domains of life (the others being BACTERIA and ARCHAEA), also called Eukarya. These are organisms whose cells are enclosed in membranes and possess a nucleus. They comprise almost all multicellular and many unicellular organisms, and are traditionally divided into groups (sometimes called kingdoms) including ANIMALS; PLANTS; FUNGI; and various algae and other taxa that were previously part of the old kingdom Protista.Vocabulary, Controlled: A specified list of terms with a fixed and unalterable meaning, and from which a selection is made when CATALOGING; ABSTRACTING AND INDEXING; or searching BOOKS; JOURNALS AS TOPIC; and other documents. The control is intended to avoid the scattering of related subjects under different headings (SUBJECT HEADINGS). The list may be altered or extended only by the publisher or issuing agency. (From Harrod's Librarians' Glossary, 7th ed, p163)Models, Anatomic: Three-dimensional representation to show anatomic structures. Models may be used in place of intact animals or organisms for teaching, practice, and study.Multivariate Analysis: A set of techniques used when variation in several variables has to be studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.Systems Biology: Comprehensive, methodical analysis of complex biological systems by monitoring responses to perturbations of biological processes. Large scale, computerized collection and analysis of the data are used to develop and test models of biological systems.Amino Acid Motifs: Commonly observed structural components of proteins formed by simple combinations of adjacent secondary structures. A commonly observed structure may be composed of a CONSERVED SEQUENCE which can be represented by a CONSENSUS SEQUENCE.Research Design: A plan for collecting and utilizing data so that desired information can be obtained with sufficient precision or so that an hypothesis can be tested properly.Pharmaceutical Preparations: Drugs intended for human or veterinary use, presented in their finished dosage form. Included here are materials used in the preparation and/or formulation of the finished dosage form.Genetic Speciation: The splitting of an ancestral species into daughter species that coexist in time (King, Dictionary of Genetics, 6th ed). Causal factors may include geographic isolation, HABITAT geometry, migration, REPRODUCTIVE ISOLATION, random GENETIC DRIFT and MUTATION.Gene Ontology: Sets of structured vocabularies used for describing and categorizing genes, and gene products by their molecular function, involvement in biological processes, and cellular location. These vocabularies and their associations to genes and gene products (Gene Ontology annotations) are generated and curated by the Gene Ontology Consortium.Saccharomyces cerevisiae: A species of the genus SACCHAROMYCES, family Saccharomycetaceae, order Saccharomycetales, known as "baker's" or "brewer's" yeast. The dried form is used as a dietary supplement.Spatial Analysis: Techniques which study entities using their topological, geometric, or geographic properties.Blogging: Using an INTERNET based personal journal which may consist of reflections, comments, and often hyperlinks.Ecology: The branch of science concerned with the interrelationship of organisms and their ENVIRONMENT, especially as manifested by natural cycles and rhythms, community development and structure, interactions between different kinds of organisms, geographic distributions, and population alterations. (Webster's, 3d ed)Computing Methodologies: Computer-assisted analysis and processing of problems in a particular area.Selection, Genetic: Differential and non-random reproduction of different genotypes, operating to alter the gene frequencies within a population.Amino Acids: Organic compounds that generally contain an amino (-NH2) and a carboxyl (-COOH) group. Twenty alpha-amino acids are the subunits which are polymerized to form proteins.Phantoms, Imaging: Devices or objects in various imaging techniques used to visualize or enhance visualization by simulating conditions encountered in the procedure. Phantoms are used very often in procedures employing or measuring x-irradiation or radioactive material to evaluate performance. Phantoms often have properties similar to human tissue. Water demonstrates absorbing properties similar to normal tissue, hence water-filled phantoms are used to map radiation levels. Phantoms are used also as teaching aids to simulate real conditions with x-ray or ultrasonic machines. (From Iturralde, Dictionary and Handbook of Nuclear Medicine and Clinical Imaging, 1990)Seasons: Divisions of the year according to some regularly recurrent phenomena usually astronomical or climatic. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)Age Factors: Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.

*  Datasets Programme
Datasets Programme. We envision a future where researchers can discover, access, cite, and reuse datasets in the course of ... Home , About Us , Strategy, policies and programmes , The digital programme , Datasets Programme ...
http://bl.uk/datasets
*  Data Sets | National Snow and Ice Data Center
Data Set ID Title Location(s) Temporal Coverage Parameter(s) ILUTP0 IceBridge Riegl Laser Altimeter L0 Raw Ranges, Version 1 ... Data Set ID Title Location(s) Temporal Coverage Parameter(s) IPUTG0 IceBridge GPS L0 Raw Satellite Navigation Data, Version 1 ... Data Set ID Title Location(s) Temporal Coverage Parameter(s) IGBGM0 IceBridge BGM-3 Gravimeter L0 Raw Accelerations, Version 1 ... Data Set ID Title Location(s) Temporal Coverage Parameter(s) IOCAM1B IceBridge CAMBOT L1B Geolocated Images, Version
http://nsidc.org/data/icebridge/data_summaries.html
*  Probability that a value belongs to a dataset
... probability that a new value belongs to a particular dataset. I only have the subject value and the values of the dataset. ... probability that a new value belongs to a particular dataset. I only have the subject value and the values of the dataset. ... if for example my dataset was:. 2,5,7,6,4,5,6,4,5,6. a new value of 5 or 6 would be significantly more probable than 1 or 9. ... Re: Probability that a value belongs to a dataset I have no idea what you mean by a 'field calculator'. The only way to
http://mathhelpforum.com/statistics/214466-probability-value-belongs-dataset.html
*  Pages that link to "Nested Tables using two Scripted data sets (BIRT)" -...
Pages that link to "Nested Tables using two Scripted data sets (BIRT)" ← Nested Tables using two Scripted data sets (BIRT) ... The following pages link to Nested Tables using two Scripted data sets (BIRT): View (previous 500 , next 500) (20 , 50 , 100 , ... Pages that link to "Nested Tables using two Scripted data sets (BIRT)" ... Retrieved from "http://wiki.eclipse.org/Special:WhatLinksHere/Nested_Tables_using_two_Scripted_data_sets_(BIRT)" ...
http://wiki.eclipse.org/index.php?title=Special:WhatLinksHere/Nested_Tables_using_two_Scripted_data_sets_
*  IBM MAINFRAME: Dataset member detail extraction
Data set organization. ZDLRECFM Record format. ZDLLRECL Logical record length. ZDLBLKSZ Block size. ZDLSIZE Data set size in ... DATASET(dataset-var)] [STATS(YES,NO)] [GROUP(group)] in this what should be the LISTID? Code:. ... Whether the data set is migrated (YES or NO) based on the value of the VOLUME_OF_MIGRATED_DATA_SETS keyword in the ISPF ... If the volume name of the data set matches the value of VOLUME_OF_MIGRATED_DATA_SETS, ZDLMIGR is set to YES, otherwise it is ...
http://ibmmainframes.com/about48457.html
*  Introduction to Statistical Methods for Analyzing Large Data Sets: Gene-Set...
Introduction to Statistical Methods for Analyzing Large Data Sets: Gene-Set Enrichment Analysis ... Introduction to Statistical Methods for Analyzing Large Data Sets: Gene-Set Enrichment Analysis ... Introduction to Statistical Methods for Analyzing Large Data Sets: Gene-Set Enrichment Analysis ... Introduction to Statistical Methods for Analyzing Large Data Sets: Gene-Set Enrichment Analysis ...
http://stke.sciencemag.org/content/4/190/tr4
*  IBM MAINFRAME: Rexx PGM holding a dataset 2
Rexx PGM holding a dataset 2. Goto page 1, 2 Next. IBMMAINFRAMES.com Support Forums -> CLIST & REXX. IBM Manuals. Quick ... Posted: Wed Mar 13, 2013 7:46 pm Post subject: Reply to: Rexx PGM holding a dataset 2. ... Posted: Wed Mar 13, 2013 8:33 pm Post subject: Reply to: Rexx PGM holding a dataset 2. ... Posted: Wed Mar 13, 2013 11:15 pm Post subject: Reply to: Rexx PGM holding a dataset 2. ...
http://ibmmainframes.com/about60604.html
*  Analysis of Administrative Data Sets | Children and Family Futures
Analysis of Administrative Data Sets. CFF conducts numerous analyses of administrative data sets at the national, State and ... substance abuse and mental health administrative data sets. ... Treatment Episode Data Set (TEDS). * National Outcome Measures ...
http://cffutures.org/expertise/analysis-administrative-data-sets
*  Datasets of London | London Funders
Datasets of London. Links to data and resources which you may find of interest and which can help to highlight unmet need in ... London Specific datasets. London Datastore The London Datastore is an initiative by the Greater London Authority (GLA) to ... National datasets. JRF data indicators Visualisation and analysis of UK poverty, housing and care statistics, selected based on ...
http://londonfunders.org.uk/resources-funders/datasets-london
*  IBM MAINFRAME: B37-04 on temparary dataset and system completion code 0C4
3. Another job had data sets allocated on the volume 4. There were open data sets on the volume for the failing task. For an ... Our script does not support allocating dataset acrossing multiple volumns. Are you doubting the dataset space is small? One ... B37-04 on temparary dataset and system completion code 0C4. IBMMAINFRAMES.com Support Forums -> JCL & VSAM. IBM Manuals. Quick ... For an input data set on more than one volume, one of the volumes needed to be demounted so that the next one could be
http://ibmmainframes.com/about51994.html
*  Tools - Diabetes Treatment Algorithms
... Division of Diabetes Treatment and Prevention - Leading the effort to treat and prevent diabetes in American Indians and Alaska Natives. TRAINING CME/CE Online Education SDPI Grant Training Other Trainings. CLINICAL TOOLS Treatment Algorithms Standards of Care Quick Guide Cards. clinician tools : diabetes treatment algorithms Diabetes Treatment Algorithms The Diabetes Treatment Algorithms were developed to provide clinicians with a quick reference to treatment algorithms based on national guidelines and the Standards of Care and Clinical Practice Recommendations: Type 2 Diabetes. The algorithms are a collaborative effort between Indian health system professionals and have been reviewed by the IHS Division of Diabetes. The Diabetes Treatment Algorithms were developed to provide clinicians with a quick reference to treatment algorithms based on national guidelines and the Standards of Care and Clinical Practice Recommendations: Type 2 Diabetes. The algorithms are a collaborative effort between Indian ...
http://ihs.gov/MedicalPrograms/diabetes/index.cfm?module=toolsDTTreatmentAlgorithm
*  Gene Assessment and Sample Classification for Gene Expression Data Using a Genetic Algorithm / k-ne
... arest Neighbor Method. Immunodeficiency Disorders. Abstracted/Indexed in Gene Assessment and Sample Classification for Gene Expression Data Using a Genetic Algorithm / k-nearest Neighbor Method. Gene Assessment and Sample Classification for Gene Expression Data Using a Genetic Algorithm / k-nearest Neighbor Method Author s : Leping Li, Thomas A. We describe a new method for assessing the importance of genes for sample classification based on expression data. Our approach combines a genetic algorithm GA and the k-nearest neighbor KNN method to identify genes that jointly can discriminate between two types of samples e.g. Identification of a set of differentially expressed genes could aid in tumor diagnosis and could also serve to identify disease subtypes that may benefit from distinct clinical approaches to treatment. Title: Gene Assessment and Sample Classification for Gene Expression Data Using a Genetic Algorithm / k-nearest Neighbor Method VOLUME: 4 ISSUE: 8 Author s : Leping Li, Thomas A. Pedersen ...
http://eurekaselect.com/65075/article
*  .. Coursera course review: Algorithms: Design and Analysis, Part 2 .. Greedy Algorithms .. Dynamic
In the second part the main themes were greedy algorithms, dynamic programming and NP-Complete problems. The greedy algorithms covered were:. Independent set of maximum weight Knapsack problem Sequence alignment Optimal binary search trees Bellman-Ford single-source shortest path Floyd-Warshall all pairs shortest path Johnson’s all pairs shortest path. In the second part, there are 500 items, and the knapsack capacity is 2,000,000. For optimal binary search trees, given n items, each with a given probability of being selected, construct the binary search tree that will minimize the average search time for the items. Next were three different algorithms for finding shortest paths in directed graphs. The Bellman-Ford algorithm finds the shortest path from a source node to all other nodes in the graph, and is developed by using the dynamic programming idea of building the solution from the solution to sub-problems. In this case, the sub-problems consist of the shortest path using only a fixed number of edges. ...
http://henrikwarne.com/2013/02/18/coursera-algorithms-course-part2/
*  Robust Perceptual Image Hashing Based on Ring Partition and NMFRobust Perceptual Image Hashing Based
Robust Perceptual Image Hashing Based on Ring Partition and NMF. Robust Perceptual Image Hashing Based on Ring Partition and NMF. Robust Perceptual Image Hashing Based on Ring Partition and NMF. Zhenjun Tang, Dept. This paper designs an efficient image hashing with a ring partition and a nonnegative matrix factorization NMF, which has both the rotation robustness and good discriminative capability. Robustness, Image coding, Algorithm design and analysis, Vectors, Transform coding, Feature extraction, Watermarking,ring partition, Image hashing, multimedia security, nonnegative matrix factorization. Zhenjun Tang, Xianquan Zhang, Shichao Zhang, "Robust Perceptual Image Hashing Based on Ring Partition and NMF", IEEE Transactions on Knowledge & Data Engineering, vol.26, no. Wu, C.C. S Wang and X. Zhang, "Recent Development of Perceptual Image Hashing," J. Abbas, "A Secure and Robust Hash-Based Scheme for Image Authentication," Signal Processing, vol. IEEE Int'l Conf. Z Tang, S. Wang, X. Zhang, W. Su, "Robust ...
http://computer.org/csdl/trans/tk/2014/03/ttk2014030711-abs.html
*  Variants of Evolutionary Algorithms for Real-World Applications
... A volume edited by Raymond Chiong, Thomas Weise and Zbigniew Michalewicz. Proposals Submission Deadline: 15 DECEMBER 2009 Full Chapters Due: 15 FEBRUARY 2010 Website: http://www.it-weise.de/documents/files/ea-app-book/ Book Objectives Mission: Started as a mere academic curiosity, Evolutionary Algorithms EAs first came into sight back in the 1960s. Standard EAs such as Genetic Algorithms, Evolutionary Programming, Evolution Strategies and Genetic Programming are becoming more and more accepted in the industry and commercial sectors. At the same time, new variants and classes of evolutionary optimisation methods such as Differential Evolution, Estimation of Distribution Algorithms, Cultural Algorithms, Grammatical Evolution, Gene Expression Programming, Cooperative and Competitive Co-evolutionary Algorithms, Multi-objective Evolutionary Algorithms, to name just a few, emerged. Recommended topics include, but are not limited to, the following: Methods variants of : Genetic Algorithms Genetic Programming ...
http://it-weise.de/documents/files/ea-app-book/index.html
*  Development and validation of a predictive algorithm to identify adult asthmatics from medical servi
... ces and pharmacy claims databases. The University of British Columbia. Centre for Health Services and Policy Research. Development and validation of a predictive algorithm to identify adult asthmatics from medical services and pharmacy claims databases. Development and validation of a predictive algorithm to identify adult asthmatics from medical services and pharmacy claims databases. Journal Health Services Research. Keywords Adult, Aged, Algorithms, Asthma/epidemiology/prevention control, Drug Prescriptions/statistics numerical data, Female, Health Status Indicators, Humans, Insurance Claim Review/statistics numerical data, Logistic Models, Male, Management Information Systems/statistics numerical data, Mass Screening/methods, Middle Aged, Multivariate Analysis, Quebec/epidemiology, Reproducibility of Results, Sensitivity and Specificity, Severity of Illness Index. Abstract OBJECTIVE: To develop and validate the accuracy of a predictive model to identify adult asthmatics from administrative health ...
http://chspr.ubc.ca/pubs/journal-article/development-and-validation-predictive-algorithm-identify-adult-asthmatics
*  Clonal Selection Algorithm
... in artificial immune systems clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains how b and t lymphocyte s improve their response to antigens over time called affinity maturation these algorithms focus on the darwinian attributes of the theory where selection is inspired by the affinity of antigen antibody interactions reproduction is inspired by cell division and variation is inspired by somatic hypermutation clonal selection algorithms are most commonly applied to optimization and pattern recognition domains some of which resemble parallel hill climbing and the genetic algorithm without the recombination operator techniques see also notes external links techniques clonalg the clon al selection alg orithm airs the artificial immune recognition system bca the b cell algorithm see also artificial immune system biologically inspired computing computational immunology computational intelligence evolutionary computation ...
https://en.wikipedia.org/wiki/Clonal_Selection_Algorithm
*  Companion Algorithm
... Skip to Content Skip over Generic Navigation Roche.com. Products. Customer Support. Skip over Search Search. Products. Customer Support. Skip over Breadcrumb You are here: Home. Products. Companion Algorithm. Companion Algorithm image analysis software. A comprehensive, integrated approach VENTANA Companion Algorithm image analysis software is integrated with Virtuoso image and workflow management software, BenchMark IHC/ISH staining instruments and the iScan Coreo slide scanner. Our full breast panel includes HER2 4B5, ER SP1, PR 1E2, Ki-67 30-9 and p53 DO-7 image analysis algorithms for use along with their accompanying VENTANA IHC assays. * All IHC breast markers in the VENTANA portfolio have both image analysis and digital read application FDA 510 k clearances. There are two intended uses obtained with the 510 k clearance: Clinical use of the software algorithm to semi-quantify the biomarker Digital read, or clearance to manually read and score the biomarker using a computer monitor in lieu of a ...
http://ventana.com/products/companionalgorithm
*  CU Aerospace | Genetic Algorithm
CU Aerospace. Genetic Algorithm. Home Technology Gas Phase Lasers Space Propulsion Space Systems Software Aircraft Safety Aerospace Materials Modeling Simulation Genetic Algorithm Microvascular Composites. Products Small-Satellite Propulsion THERMOSYS MATLAB Toolbox BLAZE Multiphysics Simulation Suite VascTech Microvascular Composites. News Publications About The Company The Partners The Engineering Team The Laboratories Engineering Services. Technology > Genetic Algorithm. Genetic Algorithm. What is a Genetic Algorithm. A genetic algorithm is a search/optimization technique based on natural selection. Any users new to the GA world are encouraged to read David Goldberg's Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989. David Carroll My first exposure to genetic algorithms was through Steven Levy's book entitled "Artificial Life." While making a frozen pizza one night, I realized that I could use this fascinating technique as a search method for some of my research. With ...
http://cuaerospace.com/Technology/GeneticAlgorithm.aspx
*  Automatic Calibration of a Hydrological Model Using Multiobjective Particle Swarm Optimization and T
... OPSIS. Automatic Calibration of a Hydrological Model Using Multiobjective Particle Swarm Optimization and TOPSIS. The Community for Technology Leaders. CSDL. Institutions and Libraries. Resources. RSS Feeds. Newsletter. Terms of Use. Subscribe. CSDL Home. CSIE. Computer Science and Information Engineering, World Congress on. Subscribe. Automatic Calibration of a Hydrological Model Using Multiobjective Particle Swarm Optimization and TOPSIS. Los Angeles, California USA. 31, 2009 to Apr. Lei Zhang. Guangbai Cui. DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.802. The performance of a hydrological model heavily depends on choosing suitable model parameters. A framework for automatic calibration of a hydrological model named the Xinanjiang model with multiobjectives has been presented. In the calibration framework, a MOPSO algorithm was employed to find the non-dominated front in the objective space, and an entropy-based TOPSIS ranking method was used to rank the non-dominated solutions. ...
http://computer.org/csdl/proceedings/csie/2009/3507/04/3507d617-abs.html
*  IEEE Xplore Abstract - The Fusion Algorithm of
... Genetic and Ant Colony and Its Application. IEEE.org IEEE Xplore Digital Library. IEEE-SA. IEEE Spectrum. Personal Sign In. Personal Sign In. Username. Password. Sign In Forgot Username or Password. Signal Processing & Analysis. Search Alerts. Purchase History. Search History. Get Help. About IEEE Xplore. Feedback. Terms of Use. Author Search. Advanced Search Other Search Options. Citation Search. Search Alerts. Search History. The Fusion Algorithm of Genetic and Ant Colony and Its Application. Username. Password. Forgot Username/Password. Forgot Institutional Username/Password. Become an IEEE Member or Subscribe to IEEE Xplore for exclusive pricing. IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses. Learn more about: IEEE membership IEEE Xplore subscriptions. No additional formats available for this document. Genetic algorithm GA has ...
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5364916&contentType=Conference Publications
*  Discriminative Motif Finding for Predicting Protein Subcellular LocalizationDiscriminative Motif Fin
Discriminative Motif Finding for Predicting Protein Subcellular Localization. Discriminative Motif Finding for Predicting Protein Subcellular Localization. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Discriminative Motif Finding for Predicting Protein Subcellular Localization. Many methods have been described to predict the subcellular location of proteins from sequence information. However, most of these methods either rely on global sequence properties or use a set of known protein targeting motifs to predict protein localization. Here, we develop and test a novel method that identifies potential targeting motifs using a discriminative approach based on hidden Markov models discriminative HMMs. Hidden Markov models, maximal mutual information estimate, discriminative motif finding, protein localization. Tien-ho Lin, Robert F. Murphy, Ziv Bar-Joseph, "Discriminative Motif Finding for Predicting Protein Subcellular Localization", IEEE/ACM Transactions on Computational Biology and ...
http://computer.org/csdl/trans/tb/2011/02/ttb2011020441-abs.html
*  Mean absolute error
... in statistics the mean absolute error mae is a quantity used to measure how close forecasts or predictions are to the eventual outcomes the mean absolute error is given by mathrm mae frac n sum i n left f i y i right frac n sum i n left e i right as the name suggests the mean absolute error is an average of the absolute errors e i f i y i where f i is the prediction and y i the true value note that alternative formulations may include relative frequencies as weight factors the mean absolute error is a common measure of forecast error in time series analysis where the terms mean absolute deviation is sometimes used in confusion with the more standard definition of mean absolute deviation the same confusion exists more generally related measures the mean absolute error is one of a number of ways of comparing forecasts with their eventual outcomes well established alternatives are the mean absolute scaled error mase and the mean squared error these all summarize performance in ways that disregard the ...
https://en.wikipedia.org/wiki/Mean_absolute_error
*  A Novel Ant Colony Optimization Algorithm for Large Scale QoS-Based Service Selection Problem : Algo
a novel ant colony optimization algorithm for large scale qos based service selection problem algorithm x x x set parameters and initialize pheromone trails begin x x x x x x x x x take cost x x x repeat x x x x for each ant k do x x x x x x construct an assignment x x x x x x if fit x c fit then x x x x x x x x x x x x endfor x x x x update pheromone trails x x x until the maximum evaluation number is arrived or x x x x x the other termination condition is satisfied x x x return x x end algorithm aco x f basic
http://hindawi.com/journals/ddns/2013/815193/alg1/
*  4 projects tagged "Genetic Algorithms" – Freecode
... Effective 2014-06-18 Freecode is no longer being updated content may be stale. Browse Projects by Tag. Mac OS X. 4 projects tagged Genetic Algorithms. Genetic Algorit.. AI 3. Artificial Inte.. Optimization 2. artificial life 1. cellular automata 1. genetics 1. Neural Networks 1. Library 1. Astronomy 1. OSCL Type C 1. Freeware 1. LGPL 1. Java 1. Java3D 1. Linux 3. Mac OS X 2. Windows 2. The dANN project is a library to help facilitate artificial neural networks, artificial intelligence, and artificial genetics within other applications. It provides a powerful interface for programs to include conventional artificial intelligence technology and artificial genetics into their code. ca-ga is a toy artificial life simulation that uses genetic algorithms on large cellular automata. The simulation features a mutating fitness function, emergent sex, and a proof of concept real world fitness function. EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic ...
http://freecode.com/tags/genetic-algorithms?page=1&with=&without=23281
*  4 projects tagged "Genetic Algorithms" – Freecode
... Effective 2014-06-18 Freecode is no longer being updated content may be stale. Browse Projects by Tag. Mac OS X. 4 projects tagged Genetic Algorithms. Genetic Algorit.. AI 3. Artificial Inte.. Optimization 2. artificial life 1. cellular automata 1. genetics 1. Neural Networks 1. Library 1. Astronomy 1. OSCL Type C 1. Freeware 1. LGPL 1. Java 1. Java3D 1. Linux 3. Mac OS X 2. Windows 2. The dANN project is a library to help facilitate artificial neural networks, artificial intelligence, and artificial genetics within other applications. It provides a powerful interface for programs to include conventional artificial intelligence technology and artificial genetics into their code. ca-ga is a toy artificial life simulation that uses genetic algorithms on large cellular automata. The simulation features a mutating fitness function, emergent sex, and a proof of concept real world fitness function. EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic ...
http://freecode.com/tags/genetic-algorithms?page=1&with=15976&without=
*  4 projects tagged "Genetic Algorithms" – Freecode
... Effective 2014-06-18 Freecode is no longer being updated content may be stale. Browse Projects by Tag. Mac OS X. 4 projects tagged Genetic Algorithms. Genetic Algorit.. AI 3. Artificial Inte.. Optimization 2. artificial life 1. cellular automata 1. genetics 1. Neural Networks 1. Library 1. Astronomy 1. OSCL Type C 1. Freeware 1. LGPL 1. Java 1. Java3D 1. Linux 3. Mac OS X 2. Windows 2. The dANN project is a library to help facilitate artificial neural networks, artificial intelligence, and artificial genetics within other applications. It provides a powerful interface for programs to include conventional artificial intelligence technology and artificial genetics into their code. ca-ga is a toy artificial life simulation that uses genetic algorithms on large cellular automata. The simulation features a mutating fitness function, emergent sex, and a proof of concept real world fitness function. EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic ...
http://freecode.com/tags/genetic-algorithms?page=1&with=7268&without=
*  4 projects tagged "Genetic Algorithms" – Freecode
... Effective 2014-06-18 Freecode is no longer being updated content may be stale. Browse Projects by Tag. Mac OS X. 4 projects tagged Genetic Algorithms. Genetic Algorit.. AI 3. Artificial Inte.. Optimization 2. artificial life 1. genetics 1. Neural Networks 1. Library 1. Astronomy 1. OSCL Type C 1. Freeware 1. LGPL 1. Java 1. Java3D 1. Linux 3. Mac OS X 2. Windows 2. The dANN project is a library to help facilitate artificial neural networks, artificial intelligence, and artificial genetics within other applications. It provides a powerful interface for programs to include conventional artificial intelligence technology and artificial genetics into their code. EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic optimization algorithms quickly. Evolutionary algorithms form a family of algorithms inspired by the theory of evolution, and solve various problems. The vast majority of these methods are used to solve optimization problems, and may be also ...
http://freecode.com/tags/genetic-algorithms?sort=popularity&with=&without=
*  Case-base retrieval of childhood leukaemia patients using gene expression data
... This thesis proposes a case-base retrieval framework for ALL using a nearest neighbour classifier that can retrieve previously treated patients based on their gene expression data. The main contributions of this thesis are: i a case-base retrieval framework, ii a Balanced Iterative Random Forest algorithm for feature selection, iii a Local Principal Component algorithm for dimensionality reduction and visualization and iv a Weight Learning Genetic algorithm for feature weighting. This thesis introduces Balanced Iterative Random Forest BIRF algorithm for selecting the most relevant features to the disease and discarding the non-relevant genes. Balanced iterative random forest is applied on four cancer microarray datasets: Childhood Leukaemia dataset, Golub Leukaemia dataset, Colon dataset and Lung cancer dataset. The Local Principal Component LPC algorithm introduced in this thesis for visualization is validated on three datasets: Childhood Leukaemia, ...
https://opus.lib.uts.edu.au/research/handle/10453/23486
*  .. What Google Won’t Find .. 60 Responses to “What Google Won’t Find”
And the reason is this: if you had a fast algorithm for solving NP-complete problems, then not only could you solve P vs. We believe there’s no algorithm to solve NP-complete problems in deterministic polynomial time. There is no physical means to solve NP-complete problems in polynomial time — not with classical computers, not with quantum computers, not with anything else. We might hope to at least prove that quantum computers can’t solve NP-complete problems in polynomial time unless classical computers can also — but even that, alas, seems far beyond our ability to prove. If quantum computers can’t solve NP-complete problems in polynomial time, it raises an extremely interesting question: is there any physical means to solve NP-complete problems in polynomial time. So, it looks like Nature is solving NP-hard problems in polynomial time. But that didn’t stop two guys a few years ago from writing a paper in which they claimed, not only that soap bubbles solve NP-complete problems in polynomial time, but ...
http://scottaaronson.com/blog/?p=266
*  An Optimal Algorithm for Scheduling Requests on Interleaved Memories for a Pipelined ProcessorAn Opt
An Optimal Algorithm for Scheduling Requests on Interleaved Memories for a Pipelined Processor. An Optimal Algorithm for Scheduling Requests on Interleaved Memories for a Pipelined Processor. CSDL. RSS Feeds. Subscribe. CSDL Home. IEEE Transactions on Computers. Issue No.10 - October. Subscribe. An Optimal Algorithm for Scheduling Requests on Interleaved Memories for a Pipelined Processor. Issue No.10 - October 1981 vol.30. Wah. DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TC.1981.1675697. In this paper an optimal algorithm for scheduling requests on interleaved memories is presented. With this algorithm the average completion time for servicing a finite set of randomly generated requests is proved to be minimum. Performance of this algorithm for nonrandom requests has not been proved. A pipelined processor is used as an example for the generation of nonrandom requests to the memories. Two alternative organizations are investigated, one with a common set of fixed size buffers to store conflicting ...
http://computer.org/csdl/trans/tc/1981/10/01675697-abs.html
*  Preconditioned Alternating Projection Algorithms for Maximum a Posteriori ECT Reconstruction.
... We propose a preconditioned alternating projection algorithm PAPA for solving the maximum a posteriori MAP emission computed tomography ECT reconstruction problem. We then characterize the solution of the constrained convex optimization problem and show that it satisfies a system of fixed-point equations defined in terms of two proximity operators raised from the convex functions that define the TV-norm and the constrain involved in the problem. The characterization of the solution via the proximity operators that define two projection operators naturally leads to an alternating projection algorithm for finding the solution. For efficient numerical computation, we introduce to the alternating projection algorithm a preconditioning matrix the EM-preconditioner for the dense system matrix involved in the optimization problem. In numerical experiments, performance of our algorithms, with an appropriately selected preconditioning matrix, is compared with performance of the conventional MAP ...
http://biomedsearch.com/nih/Preconditioned-Alternating-Projection-Algorithms-Maximum/23271835.html
*  Synthesis of a systolic array genetic algorithm - WestminsterResearch
... . Home. About. Browse. Browse by Year. Browse by Research Community. Browse by Type. Browse by People. Browse by Full text. Advanced Search. Latest Additions. Login repository administrators only. Statistics. Synthesis of a systolic array genetic algorithm. Megson, Graham M. and Bland, Ian M. 1998 Synthesis of a systolic array genetic algorithm. In: Proceedings of the first merged International Parallel Processing Symposium Symposium on Parallel and Distributed Processing, March 30-April 3, 1998, Orlando, Florida. IEEE, Los Alamitos, USA, pp. 316-320. ISBN 0818684046. Full text not available from this repository. Official URL: http://dx.doi.org/10.1109/IPPS.1998.669933. Abstract. The paper presents the design of a hardware genetic algorithm which uses a pipeline of systolic arrays. Demonstrated is the design methodology where a simple genetic algorithm expressed in C source code is progressively re-written into a recurrence form from which systolic structures can be deduced. The paper extends previous ...
http://westminsterresearch.wmin.ac.uk/5711/
*  Nonnegative matrix
... In mathematics, a 'nonnegative matrix' is a matrix in which all the elements are equal to or greater than zero \mathbf{X} \geq 0, \qquad \forall {i,j}\quad x {ij} \geq 0. A 'positive matrix' is a matrix in which all the elements are greater than zero. The set of positive matrices is a subset of all non-negative matrices. While such matrices are commonly found, the term is only occasionally used due to the possible confusion with positive-definite matrices, which are different. A rectangular non-negative matrix can be approximated by a decomposition with two other non-negative matrices via non-negative matrix factorization. A positive matrix is not the same as a positive-definite matrix. A matrix that is both non-negative and positive semidefinite is called a 'doubly non-negative matrix'. Eigenvalues and eigenvectors of square positive matrices are described by the Perron–Frobenius theorem. Inversion Specializations See also Bibliography. Inversion. The inverse of any non-singular M-matrix is a ...
https://en.wikipedia.org/wiki/Nonnegative_matrix
*  E-3 SENSOR DATA FUSION ALGORITHM | SBIR.gov
E-3 SENSOR DATA FUSION ALGORITHM. SBIR.gov. SBIR. The SBIR Program SBIR Mission and Program Goals SBIR Participation Agencies Three-Phase Program Competitive Opportunity for Small Business SBIR Policy Directive SBIR/STTR Inter-agency Policy Committee: Fueling Small Business Innovation Reports Annual Report Transmittal Letters STTR. The STTR Program STTR Mission and Program Goals STTR Participating Agencies Three-Phase Program Competitive Opportunity for Small Business STTR Policy Directive Tibbetts Awards and Hall of Fame. Recognizing Excellence SBIR Hall of Fame Tibbetts Awards Roland Tibbetts SBIR Tibbetts Award Eligibility Selection Process Recent Awards Award Ceremonies FAST Partnership Program. Open Future Closed Solicitation Listing Health-Related Funding Awards. News SBIR Pulse Success Stories SBA Blog SBA Newsletter OSTP Events. Events Webinars Calendar SBIR Road Tour National SBIR/STTR Conference SBIR/STTR Innovation Summit Resources. Home E-3 SENSOR DATA FUSION ALGORITHM E-3 SENSOR DATA FUSION ...
https://sbir.gov/sbirsearch/detail/85489
*  9780262033848 | Introduction to Algorithms | Cormen, Thomas H.; Leiserson, Charles E.; Rivest, Ronal
Introduction to Algorithms. FREE SHIPPING ON EVERY ORDER. RENT TEXTBOOKS. RETURN MY RENTAL. SELL TEXTBOOKS. HELP. FREE SHIPPING ON EVERY ORDER. RETURN BY: 12/21/2015 You may extend rentals at any time. Introduction to Algorithms by: Cormen, Thomas H. Our rental program is designed to save you time and money. Top 5 reasons to order all your textbooks from Knetbooks: We have the lowest prices on thousands of popular textbooks Free shipping both ways on ALL orders Most orders ship within 48 hours Need your book longer than expected. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. It includes two completely new chapters, ...
http://knetbooks.com/introduction-algorithms-3rd-cormen-thomas/bk/9780262033848
*  HX100V and HX200V image quality comparison on DPREVIEW: Sony Cyber-shot Talk Forum: Digital Photogra
... phy Review. Log in / Register. News. Reviews. Features. Buying Guide. Sample Images. Videos. Cameras. Lenses. Phones. Printers. Forums. Galleries. Challenges. Forum index. Sony Cyber-shot Talk Change forum HX100V and HX200V image quality comparison on DPREVIEW Started May 9, 2012. Discussions thread. Shop cameras lenses ▾. Forum Parent First Previous Next Next unread. Flat view. SATBIR BILLING. Forum Member. Posts: 58. Like. HX100V and HX200V image quality comparison on DPREVIEW May 9, 2012. Studio images of HX200V are now available on DPREVIEW.When compared to HX100V the HX200V certainly has better resolution on all sensitivity values. Please put your comments also. Reply to thread Reply with quote. Complain. Forum Parent First Previous Next Next unread. Flat view. Post hide subjects. Posted by When HX100V and HX200V image quality comparison on DPREVIEW New. SATBIR BILLING. May 9, 2012. Re: HX100V and HX200V image quality comparison on DPREVIEW New. DavePlugh. May 9, 2012. Re: HX100V and HX200V ...
http://dpreview.com/forums/post/41463008
*  Fast Stochastic Global Optimization Methods and Their Applications to Cluster Crystallization and Pr
... otein Folding - OpenThesis. Upload and Search Theses and Dissertations - OpenThesis. Upload. Search. Help. Fast Stochastic Global Optimization Methods and Their Applications to Cluster Crystallization and Protein Folding. Two global optimization methods are proposed in this thesis. They are the multicanonical basin hopping MUBH method and the basin paving BP method. The MUBH method combines the basin hopping BH method, which can be used to efficiently map out an energy landscape associated with local minima, with the multicanonical Monte Carlo MUCA method, which encourages the system to move out of energy traps during the computation. It is found to be more efficient than the original BH method when applied to the Lennard-Jones systems containing 150-185 particles. The asynchronous multicanonical basin hopping AMUBH method, a parallelization of the MUBH method, is also implemented using the message passing interface MPI to take advantage of the full usage of multiprocessors in either a homogeneous or a ...
http://openthesis.org/documents/Fast-Stochastic-Global-Optimization-Methods-162990.html
*  An ESPC algorithm based approach to solve inventory deployment problem - DORAS - DCU
... Login DCU Staff Only. Browse DORAS. DCU Faculties and Centres. Browse Theses. Search. Except where otherwise noted, content on this site is licensed for use under a: Creative Commons Licence. An ESPC algorithm based approach to solve inventory deployment problem Chan, F.T.S. 2007 An ESPC algorithm based approach to solve inventory deployment problem. In: OSCM07 - 2nd International Conference on Operations and Supply Chain Management, 18–20 May 2007, Bangkok, Thailand. In this paper, authors have proposed a new hybrid evolutionary algorithm named Endosymbiotic-Psychoclonal ESPC algorithm to determine the amount and type of product to stock as a semi product in inventory. In the proposed work the ability of previously proposed Psychoclonal algorithm to exploit the search space has been increased by making antibodies and antigen more cooperative interacting species. The efficacy of the proposed algorithm has been tested on randomly generated datasets and the results obtained, are compared with other ...
http://doras.dcu.ie/15779/
*  A topological algorithm for identification of structural domains of proteins
... Library : Archie Home : School of Medicine : SOM Faculty and Staff Research : View Item. A topological algorithm for identification of structural domains of proteins. A topological algorithm for identification of structural domains of proteins. Algorithmic methods of dissecting protein of known structure into domains developed so far are based on an examination of multiple geometrical, physical and topological features. These methods are applicable to sequences with known and unknown structure alike, and their success highlights a fundamental principle of protein modularity, but this does not directly improve our understanding of protein spatial structure.RESULTS:We present a novel graph-theoretical algorithm for the identification of domains in proteins with known three-dimensional structure. We represent the protein structure as an undirected, unweighted and unlabeled graph whose nodes correspond to the secondary structure elements and edges represent physical proximity of at least one pair of alpha ...
http://archie.kumc.edu/handle/2271/586
*  [Solved][Get Rid of PC Optimizer Pro Virus ]How to remove/clean PC Optimizer Pro Virus (Removal Gui
How to remove/clean PC Optimizer Pro Virus Removal Guide. YAC PC Cleaner. GUIDES. Last Virus Guides. How to remove/clean PC Optimizer Pro Virus Removal Guide Have you noticed that your computer is running slowly. Infected by PC Optimizer Pro Virus. PC Optimizer Pro Virus Introduction: There is a new malware infection attacking computers and its name is PC Optimizer Pro. If you see this scam program, you should not waste time and remove PC Optimizer Pro as soon as you can. How to remove PC Optimizer Pro Virus. This antivirus program has proven to be able to remove the virus completely and also clean your system from other infections that might have been downloaded to it. YAC also helps clean up browser homepage and search that are bundled via malicious plug-ins. You can Remove "PC Optimizer Pro Virus " and any other Malware, Virus and Spyware through the next 3 steps. Free Download and Run the virus removal tool: YAC Virus Removal Tool. PC Optimizer Pro Virus should be removed as early as possible. Click the ...
http://yac.mx/en/guides/virus-guides/how-to-remove-pc-optimizer-pro-virus-through-isafe-virus-removal-tool.html
*  Are Google's Algorithms Global & The Same Worldwide?
Are Google's Algorithms Global & The Same Worldwide. Google News. Google SEO. Google Algorithms Are Not The Same In All Countries Google Algorithms Are Not The Same In All Countries Jul 24, 2014 8:20 am. Filed Under Google Search Engine Optimization. Prev Story Next story Tweet. Prev Story Next Story A Black Hat World forum thread asks if Google's algorithms work the same in all the various countries throughout the world. Specific examples include the Google Panda algorithm that launched initially for English language Google engines in February 2011. Then 17 months later, Google pushed it out in Korea and Japan to target Asian languages. While the Google Penguin algorithm was more global, impacting sites in any language. Well, if the algorithm is around language and content, then different languages require different algorithms or support for those languages. Then you have algorithms like spam algorithm aka Payday Loan algorithm that target specific niches and not countries. So the long answer is that some ...
https://seroundtable.com/global-google-algorithms-18896.html
*  Peterson's algorithm
... The algorithm Mutual exclusion. Filter algorithm: Peterson's algorithm for more than two processes. The filter algorithm generalizes Peterson's algorithm to processes. The registers can be represented in pseudocode as arrays: level : array of N integers last to enter : array of N−1 integers. Process exits the inner loop when there is either no process with a higher level than, so the next waiting room is free; or, when, so another process joined its waiting room. At level zero, then, even if all processes were to enter waiting room zero at the same time, no more than will proceed to the next room, the final one finding itself the last to enter the room., until at the final level, only one process is allowed to leave the waiting room and enter the critical section, giving mutual exclusion. The algorithm can also be shown to be starvation-free, meaning that all processes that enter the loop eventually exit it assuming they don't stay in the critical section indefinitely. At all lower levels, it is ...
https://en.wikipedia.org/wiki/Peterson's_algorithm
*  Google Releases Version 2 Of Spam Algorithm Over Weekend
... Google News. Google Updates. Google Spam Algorithm Version 2.0 Released Over Weekend Google Spam Algorithm Version 2.0 Released Over Weekend May 21, 2014 8:02 am. Filed Under Google PageRank & Algorithm Updates. Prev Story Next story Tweet. Prev Story Next Story As I broke last night, Google has released an update to the Payday Loan Algorithm also known as the Google Spam Algorithm over the weekend. The Spam Algorithm specifically targets spammy queries such as payday loan, viagra, and the related types of queries that spammers target heavily. Matt Cutts described the algorithm before they launched it initially a year ago in this video:. This update impacted English queries by about 0.2% to a noticeable degree, Google's Matt Cutts told me. The previous one impacted impacted English queries by 0.3% but was much more noticeable outside of the English language. I suspect those were tests for both this Google Spam Algorithm version 2.0 and the Panda 4.0 release. This past weekend we started rolling out a ...
https://seroundtable.com/google-spam-algorithm-updated-18580.html
*  Singular Value Decomposition | Mathematical Association of America
Singular Value Decomposition. Member Discount Programs. Portrait Gallery. Calendar of Events. MAA Distinguished Lecture Series. MAA MathFest. Mathematical Sessions. Minicourses. Other Mathematical Sessions. Undergraduate Student Activities. SIGMAA Activities. MAA Policies. MAA Section Meetings. You are here Home » Singular Value Decomposition Singular Value Decomposition. A fresh approach to the singular value decomposition Course Community A Singularly Valuable Decomposition: The SVD of a Matrix Course Community Surface Approximation and Interpolation via Matrix SVD Course Community Full Rank Factorization of Matrices Course Community Singular Vectors Subtle Secrets Course Community Understanding Singular Vectors Course Community Conceptual Linear Algebra Online Course Community Pseudoinverse Course Community We Recommend a Singular Value Decomposition Course Community A Constructive Approach to Singular Value Decomposition and Symmetric Schur Factorization Course Community Online Matrix Calculator Course ...
http://maa.org/topics/singular-value-decomposition
*  Inogen One G2 Gross Particle Filter
... 1st Class Medical. Call For Daily Specials. 1-800-520-5726. . Your Subtitle text. Home AirSep Focus AirSep FreeStyle AirSep Freestyle 5 Inogen One Inogen One G2 Inogen One G3 Invacare XPO2 LifeChoice Lifechoice Activox Oxus Reliability Plus Respironics Evergo Devilbiss iGO Invacare SOLO2 Oxlife Independence Respironics SimplyGo SeQual Eclipse 5 Used Oxygen Concentrator Rental Oxygen AirSep VisionAire Invacare HomeFill 2 Invacare Perfecto 2 Respironics Everflo Q Respironics SimplyFlo Cough Assist Pulse Oximeters About Us Contact Us Privacy Policy Return Policy. Inogen One G2 Gross Particle Filter. The Inogen One G2 Gross Particle Filter is designed to filter out any pieces of matter from getting inside the machine. The gross particle filter plays an essential role in your machine's filtration process. Without the Inogen One G2 Gross Particle Filter your machine would struggle to provide medical grade oxygen and it will need to be sent in for servicing. Make sure you wash your gross particle filters with ...
http://portable-oxygen-concentrators.net/Inogen_One_G2_Filter.html
*  Level-wise Frequent Pattern Discovery
level wise frequent pattern discovery next experiments up adapting ilp algorithms to previous other algorithms based on level wise frequent pattern discovery an alternative family of data mining algorithms scans the refinement lattice in a breadth first manner for queries whose frequency exceeds some user defined threshold the best known instance of these level wise algorithms is the a priori method for finding frequent item sets w armr is an ilp variant of attribute value based a priori query packs in w armr correspond to hash trees of item sets in a priori both are used to store a subgraph of the total refinement lattice down to level the paths from the root down to level in that subgraph correspond to frequent patterns the paths from root to the leaves at depth correspond to candidates whose frequency has to be computed like hash trees in a priori query packs in w armr exploit massive similarity between candidates to make their evaluation more efficient essentially the w armr algorithm starts with an ...
http://cs.cmu.edu/afs/cs/project/jair/pub/volume16/blockeel02a-html/node14.html
*  Java Evolutionary Computation Toolkit
... ECJ is a freeware evolutionary computation research system written in Java. It is a framework that supports a variety of evolutionary computation techniques, such as genetic algorithms, genetic programming, evolution strategies, coevolution, particle swarm optimization, and differential evolution. The framework models iterative evolutionary processes using a series of pipelines arranged to connect one or more subpopulations of individuals with selection, breeding such as crossover, and mutation operators that produce new individuals. Asynchronous island models over TCP/IP Master/Slave evaluation over multiple processors Genetic Algorithms/Programming style Steady State and Generational evolution, with or without Elitism Evolutionary-Strategies style mu,lambda and mu+lambda evolution Very flexible breeding architecture Many selection operators Multiple subpopulations and species Inter-subpopulation exchanges Reading populations from files Single- and Multi-population coevolution SPEA2 multiobjective ...
https://en.wikipedia.org/wiki/Java_Evolutionary_Computation_Toolkit
*  algorithm - Worst Case Performance of Quicksort - Stack Overflow
... Stack Overflow. Meta Stack Overflow. Stack Overflow Careers. Stack Exchange. Help Center Detailed answers to any questions you might have. stack overflow careers. Stack Overflow Questions. Worst Case Performance of Quicksort. I am trying to prove the following worst-case scenario for the Quicksort algorithm but am having some trouble. I have drawn out the recursive tree of some examples and understand why this is a worst-case scenario and that the running time will be theta n 2. algorithm quicksort asymptotic-complexity share. Pay attention, the quicksort algorithm worst case scenario is when you have two subproblems of size 0 and n-1. In this scenario, you have this recurrence equations for each level: T n = T n-1 + T 0 -- at first level of tree T n-1 = T n-2 + T 0 -- at second level of tree T n-2 = T n-3 + T 0 -- at third level of tree. user1609518 Aug 19 '12 at 13:29. Based on the algorithms literature, this is the only worst-case scenario for quick sort algorithm. There aren't other worst case ...
http://stackoverflow.com/questions/12023760/worst-case-performance-of-quicksort
*  A Minimax Fitting Algorithm for Ultra-Precision Aspheric Surfaces - University of Huddersfield Rep
... ository. Our Schools and Departments. A Minimax Fitting Algorithm for Ultra-Precision Aspheric Surfaces. Tools Tools Tools. RDF+XML BibTeX RIOXX2 XML RDF+N-Triples JSON RefWorks Dublin Core Simple Metadata Refer METS HTML Citation ASCII Citation OpenURL ContextObject EndNote OpenURL ContextObject in Span MODS MPEG-21 DIDL EP3 XML Reference Manager RDF+N3 Multiline CSV. 2011 A Minimax Fitting Algorithm for Ultra-Precision Aspheric Surfaces. In: The 13th International Conference on Metrology and Properties of Engineering Surfaces, 12-15 April 2011, National Physical Laboratory, Teddington, UK. Abstract Aspheric lenses show significant superiority over traditional spherical ones. The peak-to-valley form deviation is an important criterion for surface qualities of optical lenses. In this paper the form errors of aspheric surfaces are evaluated in the sense of minimum zone, i.e. to directly minimize the peak-to-valley deviation from the data points to the nominal surface. The control parameters are obtained ...
http://eprints.hud.ac.uk/9417/
*  Merge Algorithm Common Lisp | RM.com ®
Merge Algorithm Common Lisp. Merge Algorithm Common Lisp A selection of articles related to merge algorithm common lisp. Original articles from our library related to the Merge Algorithm Common Lisp. See Table of Contents for further available material downloadable resources on Merge Algorithm Common Lisp. Religion & Philosophy >> Religions Religions >> Paganism & Wicca All One People Standing in their Circle, a group of people reverently turn to face and address the four directions. Religions >> Paganism & Wicca Religions >> Native American, Shamanism Archetypal Astrology Jungian Psychology. Paganism & Wicca >> Holidays Story of the Celts: Who are the Celts. History & Anthropology >> Celtic & Irish Merge Algorithm Common Lisp is described in multiple online sources, as addition to our editors' articles, see section below for printable documents, Merge Algorithm Common Lisp books and related discussion. Suggested Pdf Resources COMMON LISP : A Gentle Introduction to Symbolic Computation the Common Lisp ...
http://realmagick.com/merge-algorithm-common-lisp/
*  The Department of Computational & Applied Mathematics at Rice University
PDF File 265 KB Mixed Variable Optimization of a Load-Bearing Thermal Insulation System Using a Filter Pattern Search Algorithm Mark A. However, this algorithm may not work for problems with general nonlinear constraints. Key words : Optimization, nonsmooth optimization, thermal insulation, heat intercepts, categorical variables, mixed variable programming, pattern search algortihm, filter algorithm, nonlinear constraints. PDF File 960 KB Pattern Search Algorithms for Mixed Variable General Constrained Optimization Problems Mark A. The Audet-Dennis Generalized Pattern Search GPS algorithm for bound constrained mixed variable optimization problems is extended to problems with general nonlinear constraints by incorporating a filter, in which new iterates are accepted whenever they decrease the incumbent objective function value or constraint violation function value. PS File 1120 KB A Global Optimization Method for the Molecular Replacement Problem in X-ray Crystallography Diane C. Key words : Molecular ...
http://caam.rice.edu/caam/trs/2002_abstracts.html
*  HeuristicLab
History Features Supported Algorithms Supported Problems See also References External links. 'Algorithm Designer' One of the features that distinguishes HeuristicLab from many other metaheuristic software frameworks is the algorithm designer. HeuristicLab allows to model algorithms in a graphical way without having to write any source code. Genetic Algorithm Age-layered Population Structure ALPS Genetic Programming Evolution Strategy Island Genetic Algorithm Island Offspring Selection Genetic Algorithm RAPGA SASEGASA. 3 Offspring Selection Evolution Strategy OSES Offspring Selection Genetic Algorithm CMA-ES. Ensemble Modeling Gaussian Process Regression and Classification Gradient Boosted Trees Local Search Non-dominated Sorting Genetic Algorithm II Particle Swarm Optimization Parameter-less population pyramid P3 Robust Taboo Search Scatter Search Simulated Annealing Tabu Search Variable Neighborhood Search Performance Benchmarks Cross Validation k-Means Linear Discriminant Analysis Linear Regression ...
https://en.wikipedia.org/wiki/HeuristicLab
*  Bühlmann decompression algorithm
... The 'Bühlmann decompression algorithm' is a mathematical model algorithm of the way in which inert gases enter and leave the human body as the ambient pressure changes. It is used to create 'Bühlmann tables'. These are decompression tables which allow divers to plan the depth and duration for dives and show decompression stops when necessary. The algorithm was developed by Swiss physician Dr. Albert A. Bühlmann, who did research into decompression theory at the Laboratory of Hyperbaric Physiology at the University Hospital in Zürich, Switzerland. The book was regarded as the most complete public reference on decompression calculations and was used soon after in dive computer algorithms. Principles Tables References Further reading External links. Principles. Building on the previous work of John Scott Haldane and Robert Workman, and working off funding from Shell Oil Company, Bühlmann designed studies to establish the longest half-times of nitrogen and helium in human tissues. The naming convention he ...
https://en.wikipedia.org/wiki/Bühlmann_decompression_algorithm
*  Robotics/Computer Control/Control Architectures/Swarm Robotics - Wikibooks, open books for an open w
... orld. Robotics/Computer Control/Control Architectures/Swarm Robotics From Wikibooks, open books for an open world Robotics. Computer Control/Control Architectures Jump to: navigation, search. 3 Ant Colony Optimization ACO : 4 Particle Swarm Optimization PSO. Swarm robotics is a relatively new study in the world of autonomous robotics. On first hearing the phrase “swarm robotics” many simply think of basic interactions of robots such as follow the leader or simply data relayed between robots all traveling towards a common goal. Robots may now be given a goal and a basic suggestion on how to meet that goal. Several techniques covered here include Ant Colony Optimization ACO and Particle Swarm Optimization PSO. Basic Swarm Robotics:. Ant Colony Optimization ACO :. This means, ants are more likely to travel a trail with a stronger intensity of pheromones. However if the same number of ants travel a long trail and a short trail over the same period of time the intensity of pheromones will be greater on the ...
https://en.wikibooks.org/wiki/Robotics/Computer_Control/Control_Architectures/Swarm_Robotics
*  Multi-response optimization strategy for catalyst compositions and process parameters design for CO
... 2-OCM process over CaO-MnO/CeO2 catalyst - Universiti Teknologi Malaysia Institutional Repository. Universiti Teknologi Malaysia Institutional Repository Home. About. Browse by Year. Browse by Subject. Browse by Division. Browse by Types. Login. Multi-response optimization strategy for catalyst compositions and process parameters design for CO2-OCM process over CaO-MnO/CeO2 catalyst. Istadi, Istadi and Saidina Amin, Nor Aishah 2004 Multi-response optimization strategy for catalyst compositions and process parameters design for CO2-OCM process over CaO-MnO/CeO2 catalyst. In: 18th Symposium of Malaysian Chemical Engineers SOMChe 2004, 13 - 14 Dec. 2004, UTP, Perak, Malaysia. Preview. PDF. 1MB. Abstract The catalytic CO2-OCM Carbon Dioxide Oxidative Coupling of Methane reaction to produce C2+ hydrocarbons is considered to be one of the most effective uses of natural gas in the gas-based petrochemical industries. A new hybrid numerical approach, using Weighted Sum of Squared Objective Functions WSSOF ...
http://eprints.utm.my/5976/
*  GLGETTEXIMAGE(3G) manual page
The supported types are GL UNSIGNED BYTE, GL BYTE, GL UNSIGNED SHORT, GL SHORT, GL UNSIGNED INT, GL INT, GL FLOAT, GL UNSIGNED BYTE 3 3 2, GL UNSIGNED BYTE 2 3 3 REV, GL UNSIGNED SHORT 5 6 5, GL UNSIGNED SHORT 5 6 5 REV, GL UNSIGNED SHORT 4 4 4 4, GL UNSIGNED SHORT 4 4 4 4 REV, GL UNSIGNED SHORT 5 5 5 1, GL UNSIGNED SHORT 1 5 5 5 REV, GL UNSIGNED INT 8 8 8 8, GL UNSIGNED INT 8 8 8 8 REV, GL UNSIGNED INT 10 10 10 2, and GL UNSIGNED INT 2 10 10 10 REV. Single-component textures are treated as RGBA buffers with red set to the single-component value, green set to 0, blue set to 0, and alpha set to 1. Two-component textures are treated as RGBA buffers with red set to the value of component zero, alpha set to the value of component one, and green and blue set to 0. Finally, three-component textures are treated as RGBA buffers with red set to component zero, green set to component one, blue set to component two, and alpha set to 1. The types GL UNSIGNED BYTE 3 3 2, GL UNSIGNED BYTE 2 3 3 REV, GL UNSIGNED SHORT 5 6 ...
http://x.org/releases/X11R7.0/doc/html/glGetTexImage.3.html
*  DSpace at IIT Bombay: Fast on-line/off-line algorithms for optimal reinforcement of a network and it
... s connections with principal partition. Search DSpace. Issue Date. Title. Receive email updates. Edit Profile. Help. About DSpace. DSpace at IIT Bombay. IITB Publications. Proceedings papers. Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/1898. Title: Fast on-line/off-line algorithms for optimal reinforcement of a network and its connections with principal partition. Keywords: lattice polymatroids strength. Issue Date: 2000. Publisher: SPRINGER-VERLAG BERLIN. Abstract: The problem of computing the strength and performing optimal reinforcement for an edge-weighted graph G V, E, w is well-studied. In this paper, we present fast sequential linear time and parallel logarithmic time on-line algorithms for optimally reinforcing the graph when the reinforcement material is available continuosly online. Although we invest some time in preprocessing the graph before the start of our algorithms, it is also shown that the output of our on-line algorithms ...
http://dspace.library.iitb.ac.in/jspui/handle/100/1898
*  Design and multiobjective optimization of a novel reactive extrusion process for the production of n
... anostructured PA12/ PDMS blends. Design and multiobjective optimization of a novel reactive extrusion process for the production of nanostructured PA12/ PDMS blends. Keywords: PA12/PDMS nanosturured blends, reactive extrusion, process design, multiobjective optimization. This work deals with the manufacture, by reactive extrusion, of Polyamide 12 PA12 / Polydimethylsiloxane PDMS nanostructured blends, with the purpose of improving the mechanical properties of PA12. In this process, the continuous phase PA12 is synthesized in the extruder in the presence of i the dispersed phase PDMS, ii a new and particularly efficient catalytic system composed of aluminium hydride as catalyst and MDI caprolactam as activator and iii a macro-activator functionalized PDMS: dicarbamoyloxy caprolactam-PDMS well suited to develop in situ a tri-block PA12-PDMS-PA12 copolymer acting as compatibilizer. Preliminary reactive extrusion experiments were then carried out to study the effect of the ...
http://nsti.org/procs/Nanotech2010v1/6/T30.704
*  Neville's algorithm
... In mathematics, 'Neville's algorithm' is an algorithm used for polynomial interpolation that was derived by the mathematician Eric Harold Neville. Given 'n' + 1 points, there is a unique polynomial of degree '≤ n' which goes through the given points. Neville's algorithm evaluates this polynomial. Neville's algorithm is based on the Newton form of the interpolating polynomial and the recursion relation for the divided differences. It is similar to Aitken's algorithm named after Alexander Aitken, which is nowadays not used. The algorithm Application to numerical differentiation References External links. The algorithm. Given a set of 'n'+1 data points 'x' 'i', 'y' 'i' where no two 'x' 'i' are the same, the interpolating polynomial is the polynomial 'p' of degree at most 'n' with the property. :'p' 'x' 'i' = 'y' 'i' for all 'i' = 0,,'n' This polynomial exists and it is unique. Neville's algorithm evaluates the polynomial at some point 'x'. Let 'p' 'i','j' denote the polynomial of degree 'j' 'i' which goes ...
https://en.wikipedia.org/wiki/Neville's_algorithm
*  Advanced Vista Optimizer 2009 - Free download and software reviews - CNET Download.com
... REVIEWS. DOWNLOAD. Diagnostic Software Advanced Vista Optimizer 2009 Advanced Vista Optimizer 2009 Download Now Secure Download. Advanced Vista Optimizer is a comprehensive set of 25+ tools to boost up your system's performance. User Reviews +. Since you've already submitted a review for this product, this submission will be added as an update to your original review. Previous Versions: Select a version Advanced Vista Optimizer 2009 3.5 Advanced Vista Optimizer 2008 3.0 Advanced Vista Optimizer 2008 Boost XP 2.00 Boost XP 2.00 BoostXP 2.00 Boost XP 1.47 Boost XP 1.46 Boost XP 1.45 Boost XP 1.45 Boost XP 1.44 Boost XP 1.44 Boost XP 1.29 Boost XP 1.28.9 Boost XP 1.28.8 Boost XP 1.28.8 Boost XP 1.28.7 Boost XP 1.28.6 Boost XP 1.28.5 Boost XP 1.28.4 Boost XP 1.1.7.9 Boost XP 1.18 Boost XP 1.17.9 Boost XP 1.1 Boost XP 1.1 Boost XP 1.02 Boost XP 1.01.1 Boost XP 1.01.1 Boost XP 1.01 Boost XP 1.0.2 Boost XP 1.01 Boost XP 1.00.1 Boost XP 1.0 Boost XP 1.0 Advanced Vista Optimizer 2008 3 Advanced Vista Optimizer ...
http://download.cnet.com/Advanced-Vista-Optimizer-2009/3000-2086_4-10162883.html
*  A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm
... Hybrid metaheuristic based on bat algorithm is proposed in detail to solve multiple runways aircraft landing problem in Section 3. = the number of runways;., then a new position is generated around the current global best position for each individual, which is the equal to local search. is greater than a random number, then the new position is accepted and its pulse emission rate. For example, if we have three runways and ten aircrafts, the coded individual with integer is 1→3→2→2→3→2→1→2→1→3 Figure 1 shows that the aircrafts 1, 7, and 9 land on runway number 1, the aircrafts 3, 4, 6 and 8 land on runway number 2, the aircrafts 2, 5, and 10 land on runway number 3. Hybrid Bat Algorithm In original bat algorithm framework, the idea is that, firstly, the bat individual randomly selects a certain frequency of sonic pulse, and the position of bat individual is updated according to its selected frequency; secondly, if a random number is greater than its pulse emission rate., then a new position is generated ...
http://hindawi.com/journals/jam/2013/742653/
*  Official Google statements about the latest algorithm update
... Free SEO news SEO software Link building Keyword suggestion tool Ranking checker. Weekly SEO news: 8 March 2011. Welcome to the latest issue of the Search Engine Facts newsletter. Google's Amit Singhal and Matt Cutts commented on Google's latest ranking algorithm update. Their comments reveal why Google released the update which was named Panda. Also in the news: a new Google patent reveals more information about Google's plans, there's an official online discussion for people who have been hit by the update, is a California IP address good for high rankings and more. Table of contents: Facts of the week. Search engine news and articles of the week. Success stories. Previous articles. We hope that you enjoy this newsletter and that it helps you to get more out of your website. Please pass this newsletter on to your friends. Best regards,. 1 Official Google statements about the latest algorithm update. Google's Amit Singhal and Matt Cutts commented on Google's latest ranking algorithm update. Their ...
http://free-seo-news.com/newsletter463.htm
*  Significance of cross correlations in the stress relaxation of polymer melts
... all Scitation. The Journal of Chemical Physics. AIP Publishing AVS: Science Technology of Materials, Interfaces, and Processing Acoustical Society of America American Association of Physicists in Medicine American Association of Physics Teachers American Crystallographic Association, Inc. The Journal of Chemical Physics Recommend this title to your library. AIP Publishing. The Journal of Chemical Physics. Article. Significance of cross correlations in the stress relaxation of polymer melts. Scitation Author Page. PubMed. Google Scholar. 126, 244904 2007 ; http://dx.doi.org/10.1063/1.2746867. In this paper, we demonstrate that the cross correlations make a significant contribution to the partial stress relaxationfunctions in polymer melts. We present two illustrations in the context of polymer rheology using 1 Brownian dynamics simulations of a single chain model for entangled polymers, the slip-spring model, and 2 molecular dynamics simulations of a multichain model. Using the single chain model, we ...
http://scitation.aip.org/content/aip/journal/jcp/126/24/10.1063/1.2746867
*  dblp: Raul Baños
dblp: Raul Ba os. Raul Ba os. export bibliography BibTeX. RIS. RDF. XML. dblp keys. dblp key: homepages/b/RaulBanos. ask others Google. Google Scholar. MS Academic Search. view electronic edition via DOI. export record BibTeX. RIS. RDF. XML. dblp key: journals/eswa/KimovskiOOB15. ask others Google. Google Scholar. MS Academic Search. PubZone Dragi Kimovski,. view electronic edition via DOI. export record BibTeX. RIS. RDF. XML. dblp key: conf/evoW/KimovskiOOB15. ask others Google. Google Scholar. MS Academic Search. PubZone Dragi Kimovski,. view electronic edition via DOI. export record BibTeX. RIS. RDF. XML. dblp key: conf/cluster/KimovskiOOB14. ask others Google. Google Scholar. MS Academic Search. PubZone Dragi Kimovski,. view electronic edition via DOI. export record BibTeX. RIS. RDF. XML. dblp key: conf/evoW/BanosOG14. ask others Google. Google Scholar. MS Academic Search. PubZone Raul Ba os,. Consolaci n Gil : Hybrid MPI/OpenMP Parallel Evolutionary Algorithms for Vehicle Routing Problems. view ...
http://dblp.uni-trier.de/pers/hd/b/Ba=ntilde=os:Raul.html
*  lo.logic - practical algorithms for np complete problems - MathOverflow
... Stack Exchange. practical algorithms for np complete problems. up vote 5 down vote favorite 2. Inspired by: Conjecture on NP-completeness of tesselation of Wang Tile up to finite size And the practicality of this topic solving tessellation on a lattice : coloring in lattice Computational approach deciding whether a set of Wang Tile could tile the space up to some size Reference for Wang Tile I want to ask for practitioner what kind of software/programmes/algorithms that are usually used to tackle NP complete problems. lo.logic computational-complexity computability-theory open-problem share. add a comment. SAT/CP are really good at decision-problems Mathematical Programming is really good at optimization problems discrete vs. answered Mar 28 '14 at 23:11. add a comment. up vote 6 down vote. I've been told that SAT-solvers have gotten good enough that the known reductions of other NP problems to SAT are often a reasonable approach to solving those other problems. answered Mar 28 '14 at 21:32. add a ...
http://mathoverflow.net/questions/161731/practical-algorithms-for-np-complete-problems
*  Petkovšek's algorithm
petkovšek s algorithm petkovšek s algorithm petkovšek s algorithm is a computer algebra algorithm that computes a basis of hypergeometric terms solution of its input linear recurrence equation with polynomial coefficients equivalently it computes a first order right factor of linear difference operator s with polynomial coefficients this algorithm is implemented in all the major computer algebra systems examples given the linear recurrence n n n a n n n n a n n n n a n the algorithm finds two linearly independent hypergeometric terms that are solution frac gamma left n right gamma left n right left frac right n qquad frac gamma left n right gamma left n right gamma left n right gamma left n right left frac right n here gamma denotes euler s gamma function note that the second solution is also a binomial coefficient binom n n but it is not the aim of this algorithm to produce binomial expressions given the sum a n sum k n binom n k binom n k k coming from apéry s proof of the irrationality of zeta zeilberger ...
https://en.wikipedia.org/wiki/Petkovšek's_algorithm
*  Computer Science Theses
... Toggle navigation. Toggle navigation. Computer Science Theses. LoboVault Home. UNM Academic and Scholarly Communications. Computer Science. Computer Science Theses. LoboVault Home. UNM Academic and Scholarly Communications. Computer Science Computer Science Theses. Computer Science Theses. Date Authors Titles Subjects. Search within this collection:. Treating cancer using charged particles heavier than electrons is becoming more and more popular in modern cancer management due to its increased dose to the targeted tumors and improved sparing of surrounding normal tissues ... Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network . Flynn, Mark. Spatial heterogeneity in the distribution of food is an important determinant of species' optimal foraging strategies, and of the dynamics of populations and communities. Fleharty, Mark. Photon-based radiosurgery is widely used for treating local and regional tumors. The key to improving the quality of radiosurgery is to ...
https://repository.unm.edu/handle/1928/10608
*  Pololu AVR Library Command Reference
static unsigned int OrangutanAnalog:: readMillivolts unsigned char channel. static unsigned int OrangutanAnalog:: readAverage unsigned char channel, unsigned int numSamples. unsigned int analog read average unsigned char channel, unsigned int numSamples. static unsigned int OrangutanAnalog:: readAverageMillivolts unsigned char channel, unsigned int numSamples. unsigned int analog read average millivolts unsigned char channel, unsigned int numSamples. static void OrangutanBuzzer:: playFrequency unsigned int frequency, unsigned int duration, unsigned char volume. void play frequency unsigned int freq, unsigned int duration, unsigned char volume. static void OrangutanLCD:: scroll unsigned char direction, unsigned char distance, unsigned int delay time. // configure pins PD0 and PD1 as pulse input channels pulse in start unsigned char {IO D0, IO D1}, 2 ; // configure pins PD0 and PD1 as pulse input channels OrangutanPulseIn::start unsigned char {IO D0, IO D1}, 2 ; static void ...
https://pololu.com/docs/0J18/all
*  Fundamental Algorithms (Summer 2009)
Fundamental Algorithms Summer 2009. G22.1170-001 Fundamental Algorithms Summer 2009 Instructor : Abhijit Guria. Announcements. Our TA is Sherman S.M. Chow Email : schow@cs.nyu.edu http://nyu.academia.edu/ShermanSMChow. If you have something that you don't want to send to the whole class mailing list but want all of the teaching staff Abhijit, Carl and Sherman know, please send to: s9117001@cs.nyu.edu Time, Location, contacts. Classroom : CIWW 102 Lecture : 6:00PM-8:20PM, Wednesday Recitation : 6:00-7:00, Monday Office hours : Mon : 4.00 PM - 6.00 PM Wed : 4.00 PM - 6.00 PM I am also available by appointment. Instructor's office : 1015 715 Bway, x8-3277 Class mailing list : All students are required to join the mailing list. We will use the list for answering general homework questions, posting announcements, etc. You can join the list be going to the following URL and following the instructions. http://www.cs.nyu.edu/mailman/listinfo/g22 1170 001 su09. Instructor's email : guria AT cs DOT nyu DOT edu Topics ...
http://cs.nyu.edu/courses/summer09/G22.1170-001/index.html
*  Karger's algorithm
The global minimum cut problem Contraction algorithm Success probability of the contraction algorithm. The probability p n that the contraction algorithm on an n -vertex graph avoids C satisfies the recurrence p n \geq \bigl 1- \frac{2}{n}\bigr p {n-1}, with p 2 = 1, which can be expanded as ::: p n \geq \prod {i=0} {n-3} \Bigl 1-\frac{2}{n-i}\Bigr = \prod {i=0} {n-3} {\frac{n-i-2}{n-i}} = \frac{n-2}{n}\cdot \frac{n-3}{n-1} \cdot \frac{n-4}{n-2}\cdots \frac{3}{5}\cdot \frac{2}{4} \cdot \frac{1}{3} = \binom{n}{2} {-1}\,. By repeating the contraction algorithm T = \binom{n}{2}\ln n times with independent random choices and returning the smallest cut, the probability of not finding a minimum cut is ::: \Bigl T \leq \frac{1}{e {\ln n}} = \frac{1}{n}\,. p {n,t} \ge \prod {i=0} {n-t-1} \Bigl 1-\frac{2}{n-i}\Bigr = \binom{t}{2}\Bigg/\binom{n}{2}\,. The probability P n the algorithm finds a specific cutset C is given by the recurrence relation ::: P n = 1-\left 1-\frac{1}{2} P\left \Bigl\lceil 1 + ...
https://en.wikipedia.org/wiki/Karger's_algorithm
*  DSpace@MIT: Protein side-chain placement: probabilistic inference and integer progr
... amming methods. Search Within This Collection Advanced Search. DSpace @ MIT Protein side-chain placement: probabilistic inference and integer programming methods. Research and Teaching Output of the MIT Community. Home → Singapore-MIT Alliance SMA → Computer Science CS → View Item. Protein side-chain placement: probabilistic inference and integer programming methods. Citable URI: http://hdl.handle.net/1721.1/3869. Abstract: The prediction of energetically favorable side-chain conformations is a fundamental element in homology modeling of proteins and the design of novel protein sequences. The space of side-chain conformations can be approximated by a discrete space of probabilistically representative side-chain conformations called rotamers. This is called the Global Minimum Energy Conformation GMEC problem. The Dead-End Elimination theorem together with the A* algorithm DEE/A* has been successfully applied to this problem. We use a probabilistic inference method, the max-product MP belief-propagation ...
http://dspace.mit.edu/handle/1721.1/3869
*  Berkeley algorithm
... The 'Berkeley algorithm' is a method of clock synchronisation in distributed computing which assumes no machine has an accurate time source. It was developed by Gusella and Zatti at the University of California, Berkeley in 1989. and like Cristian's algorithm is intended for use within intranets. The algorithm. Unlike Cristian's algorithm, the server process in the Berkeley algorithm, called the 'master', periodically polls other 'slave' processes. Generally speaking, the algorithm is:. A 'master' is chosen via an election process such as Chang and Roberts algorithm. The 'master' polls the 'slaves' who reply with their time in a similar way to Cristian's algorithm. The 'master' observes the round-trip time RTT of the messages and estimates the time of each 'slave' and its own. The 'master' then averages the clock times, ignoring any values it receives far outside the values of the others. Instead of sending the updated current time back to the other process, the 'master' then sends out the amount ...
https://en.wikipedia.org/wiki/Berkeley_algorithm
*  DISH Anywhere Video Optimizer - Full Download Freeware (6-Oct-15 10:22:31)
DISH Anywhere Video Optimizer - Full Download Freeware 6-Oct-15 10:22:31. DISH Anywhere Video Optimizer - Full Download Freeware. Full download for thousands of freewareincluding DISH Anywhere Video Optimizerfor your desktop PC or laptops. Home. Recent Download. Oct. 06. DISH Anywhere Video Optimizer. Freeware October 6th, 2015 FreewareFullDownload. DISH Anywhere Video Optimizer on Freeware Full Download. You were searching for DISH Anywhere Video Optimizer. You can download thousands of freewares including DISH Anywhere Video Optimizer. Following are freeware search results for DISH Anywhere Video Optimizer. Search Results for DISH Anywhere Video Optimizer. Sorry, nothing found for DISH Anywhere Video Optimizer. Try with different keyword. Last Searches. engineq indir bilgisayara. Install Google Chrome Full Download. file explorer for lumia 800. free download path for nokia lumia. Download Whats App On My Laptop Windows 7. engineq na Bg ezik. tai engineq.com ve may vi tinh. Googal.com. www.googal save. free ...
http://freewarefulldownload.com/freeware/-DISH-Anywhere-Video-Optimizer/
*  Qualitative Spatial and Temporal Reasoning: Efficient Algorithms for Everyone
qualitative spatial and temporal reasoning efficient algorithms for everyone qualitative spatial and temporal reasoning efficient algorithms for everyone jochen renz in the past years a lot of research effort has been put into finding tractable subsets of spatial and temporal calculi it has been shown empirically that large tractable subsets of these calculi not only provide efficient algorithms for reasoning problems that can be expressed with relations contained in the tractable subsets but also surprisingly efficient solutions to the general np hard reasoning problems of the full calculi an important step in this direction was the refinement algorithm which provides a heuristic for proving tractability of given subsets of relations in this paper we extend the refinement algorithm and present a procedure which identifies large tractable subsets of spatial and temporal calculi automatically without any manual intervention and without the need for additional np hardness proofs while we can only guarantee ...
http://aaai.org/Library/IJCAI/2007/ijcai07-083.php
*  New epidemiology model combines multiple genomic data -- ScienceDaily
... Your source for the latest research news. New epidemiology model combines multiple genomic data. Another is that it integrates not only SNPs and expression, but also DNA methylation data, which is a chemical alteration of DNA associated with expression. In a new study Huang will conduct with Brown epidemiology colleague Dominique Michaud, he plans to apply the model to new sets of brain cancer data, including DNA from subjects with and without tumors as well as expression data from tissue of people who died, both of brain cancer or other causes. "New epidemiology model combines multiple genomic data." ScienceDaily. New epidemiology model combines multiple genomic data. "New epidemiology model combines multiple genomic data." ScienceDaily. RELATED TOPICS. Health Medicine. Health Medicine News October 4, 2015. Oct. read more. Oct. How Online E-Cigarette Vendors Engage Customers Immunotherapy Drug to Fight Lung Cancer Approved Fatty Liver Disease, Scarring: Genetic Component Link Between Diabetes, ...
http://sciencedaily.com/releases/2014/04/140408112121.htm
*  DBLP: Dan Gusfield
Bioinformatics 25 12 : 2009. IEEE/ACM Trans. Biology Bioinform. IEEE/ACM Trans. Biology Bioinform. IEEE/ACM Trans. Biology Bioinform. Yufeng Wu, Dan Gusfield: A new recombination lower bound and the minimum perfect phylogenetic forest problem. Yufeng Wu, Dan Gusfield: A New Recombination Lower Bound and the Minimum Perfect Phylogenetic Forest Problem. Dan Gusfield, Dean Hickerson, Satish Eddhu : An efficiently computed lower bound on the number of recombinations in phylogenetic networks: Theory and empirical study. Dan Gusfield: State of the Journal. IEEE/ACM Trans. Biology Bioinform. IEEE/ACM Trans. Biology Bioinform. IEEE/ACM Trans. Biology Bioinform. Yufeng Wu, Dan Gusfield: Efficient Computation of Minimum Recombination with genotypes not Haplotypes. Song, Yufeng Wu, Dan Gusfield: Efficient computation of close lower and upper bounds on the minimum number of recombinations in biological sequence evolution. Song, Yufeng Wu, Dan Gusfield: Algorithms for Imperfect Phylogeny Haplotyping IPPH with a Single ...
http://sunsite.informatik.rwth-aachen.de/dblp/db/indices/a-tree/g/Gusfield:Dan.html
*  Fields Institute - Themetic Program on Inverse Problems and Imaging
10:10-12:00 Medical Image Registration , Lecture 1 Jan Modersitzki, University of L beck. 4:10-6:00 Medical Image Registration , Lecture 2 Jan Modersitzki, University of L beck. 9:10-11:00 Medical Image Registration , Lecture 3 Jan Modersitzki, University of L beck. 2:10-3:00 Medical Image Registration , Tutorial Jan Modersitzki, University of L beck. 9:10-11:00 Medical Image Registration , Lecture 4 Jan Modersitzki, University of L beck. 9:10-11:00 Medical Image Registration , Lecture 5 Jan Modersitzki, University of L beck. 11:10-12:30 Medical Image Registration , Tutorial Jan Modersitzki, University of L beck. 10:30-12:30 Variational Regularization Methods for Image Analysis and Inverse Problems , Lecture 1 Otmar Scherzer, University of Vienna. 9:10-11:00 Variational Regularization Methods for Image Analysis and Inverse Problems , Lecture 2 Otmar Scherzer, University of Vienna. 9:10-11:00 Variational Regularization Methods for Image Analysis and Inverse Problems , Lecture 3 Otmar Scherzer, University of ...
http://fields.utoronto.ca/programs/scientific/11-12/inverseprob/summer/index.html
*  5MinuteConsult | Algorithms & Charts
Algorithms & Charts. Sign In. Sign In. Forgot password. Enter an Access Code 10-day Free Trial Subscribe Now. Diseases & Conditions. HOME. DISEASES & CONDITIONS. DRUGS. FOR THE PATIENT. PATIENT HANDOUTS. PT EXERCISES. TOOLS. PROCEDURES. ALGORITHMS & CHARTS. LAB TESTS. CALCULATORS. CLINICAL GUIDELINES. CME/CE. ALGORITHMS CHARTS Over 200 diagnosis and treatment algorithms, including online-only exclusives help you to diagnose clinical signs and symptoms, and treatment of a variety of clinical symptoms. All Algorithms Charts. NARROW:. Diagnosis and Treatment Algorithms. Differential Diagnosis Algorithms. Pediatric Charts. Treatment Algorithms. A-Z. All Algorithms Charts. Jump To:. Abdominal Pain - Chart. Abdominal Pain, Chronic. Abdominal Pain, Lower. Abdominal Pain, Upper. Abdominal Rigidity. Acetaminophen Poisoning, Treatment. Acid Phosphatase Elevation. Acidosis. Acute Kidney Injury Acute Renal Failure. Adrenal Mass. Adrenocortical Insufficiency. Ageusia. Alcohol Withdrawal, Treatment. Alkaline Phosphatase ...
http://5minuteconsult.com/collectionbrowse/33/algorithms-and-charts
*  PocketAlign A Novel Algorithm for Aligning Binding Sites in Protein Structures - ePrints@IISc
... . Home. About. Browse. Latest Additions. Advanced Search. Contact. Help. Login. Create Account. PocketAlign A Novel Algorithm for Aligning Binding Sites in Protein Structures. Yeturu, Kalidas and Chandra, Nagasuma 2011 PocketAlign A Novel Algorithm for Aligning Binding Sites in Protein Structures. In: Journal of Chemical Information and Modeling, 51 7. pp. 1725-1736. PDF PocketAlign.pdf - Published Version Restricted to Registered users only Download 6Mb. Request a copy. Official URL: http://pubs.acs.org/doi/abs/10.1021/ci200132z Abstract A fundamental task in bioinformatics involves a transfer of knowledge from one protein molecule onto another by way of recognizing similarities. Such similarities are obtained at different levels, that of sequence, whole fold, or important substructures. Comparison of binding sites is important to understand functional similarities among the proteins and also to understand drug cross-reactivities. Current methods in literature have their own merits and demerits, ...
http://eprints.iisc.ernet.in/39953/
*  Prime-factor FFT algorithm
... The 'prime-factor algorithm PFA ', also called the 'Good–Thomas algorithm' 1958/1963, is a fast Fourier transform FFT algorithm that re-expresses the discrete Fourier transform DFT of a size 'N' = 'N' 1 'N' 2 as a two-dimensional 'N' 1 ×'N' 2 DFT, but 'only' for the case where 'N' 1 and 'N' 2 are relatively prime. These smaller transforms of size 'N' 1 and 'N' 2 can then be evaluated by applying PFA recursively or by using some other FFT algorithm. PFA should not be confused with the 'mixed-radix' generalization of the popular Cooley–Tukey algorithm, which also subdivides a DFT of size 'N' = 'N' 1 'N' 2 into smaller transforms of size 'N' 1 and 'N' 2. Although the PFA is distinct from the Cooley–Tukey algorithm, Good's 1958 work on the PFA was cited as inspiration by Cooley and Tukey in their famous 1965 paper, and there was initially some confusion about whether the two algorithms were different. The PFA involves a re-indexing of the input and output arrays, which when substituted into the DFT formula ...
https://en.wikipedia.org/wiki/Prime-factor_FFT_algorithm
*  Efficient implementation of progressive meshes
... hugues hoppe demos publications talks academic professional misc efficient implementation of progressive meshes hugues hoppe computers graphics progressive mesh data structures compatible with gpu vertex buffers paper siggraph course slides abstract in earlier work we introduced the progressive mesh pm representation a new format for storing and transmitting arbitrary triangle meshes for a given mesh the pm representation defines a continuous sequence of level of detail approximations allows smooth visual transitions geomorphs between these approximations supports progressive transmission and makes an effective compression scheme in this paper we present data structures and algorithms for efficient implementation of the pm representation and its applications also we report quantitative results using a variety of computer graphics models hindsights the paper details the data structures of an efficient implementation of progressive meshes for our more recent work with microsoft direct d the data ...
http://research.microsoft.com/en-us/um/people/hoppe/proj/efficientpm/
*  Google-like algorithm may reveal better biomarkers for cancer | Scope Blog
Google-like algorithm may reveal better biomarkers for cancer. Scope Blog. Published by Stanford Medicine. Cancer, Research. Google-like algorithm may reveal better biomarkers for cancer Marissa Fessenden on May 18th, 2012. 2 Comments Google s PageRank algorithm sorts search results by relevance and now researchers are using a similar strategy to sift through thousands of proteins that affect the progression of pancreatic cancer. German scientists from the Dresden University of Technology ranked cancer biomarkers and found seven proteins that predicted how patients respond to chemotherapy. The study was published in PLoS Computational Biology. Cancer biomarkers have garnered considerable interest in medical and clinical research. They could be used to predict the outcomes of individuals with cancer and personalize therapy. But so far, few biomarkers have proved clinically useful. For example, controversy surrounds the effectiveness of measuring levels of prostate-specific antigen PSA as a way of screening ...
http://scopeblog.stanford.edu/2012/05/18/google-like-algorithm-may-reveal-better-biomarkers-for-cancer/
*  Genetic algorithm | Cosmobomb
Genetic algorithm. Cosmobomb. Home Cosmology Hydrology Publications Backyard projects Optimera a multithreaded optimization library in C#. Tsunami risk assessment for the Tongan Islands. RC setup sheets. Blog. . Optimera a multithreaded genetic algorithm library in C#. Posted by Chas in Coding, Hydrology. on Apr 13th, 2013. Comments Off on Optimera a multithreaded genetic algorithm library in C#. The problem of finding the global minimum or maximum of an arbitrary multi-parameter function, F x, y, z,, is a common one. The function F could represent the total yield of some system and you want to maximize it, or it could represent the lap-time of a race car and you want to minimize it. If the function F can be analytically expressed, it may be possible to take the derivative and solve F = 0 since F is stationary at the minima and maxima. But in practice there are many optimization problems cannot be tackled analytically. For those cases there are several powerful numerical... Meta. Log in. Entries RSS. ...
http://cosmobomb.com/wp/?tag=genetic-algorithm
*  DSpace@MIT: A cluster algorithm for Gross-Neveu fermions at nonzero temperature
... Search Ex: crystalline silicon solar. Search Within This Collection Advanced Search. DSpace @ MIT A cluster algorithm for Gross-Neveu fermions at nonzero temperature. Research and Teaching Output of the MIT Community. Home → MIT Libraries → MIT Theses → Theses - Dept. of Physics → Physics - Bachelor's degree → View Item. Some features of this site may not work without it. A cluster algorithm for Gross-Neveu fermions at nonzero temperature. Citable URI: http://hdl.handle.net/1721.1/51609. Other Contributors: Massachusetts Institute of Technology. Dept. of Physics. Department: Massachusetts Institute of Technology. Dept. of Physics. Publisher: Massachusetts Institute of Technology. Abstract: In this thesis we present results of lattice simulations of Gross-Neveu fermions in 1+1 dimensions. We re derive the representation of N flavors of Wilson fermions in terms of Ising spins on a 1 + 1 dimensional lattice from. We re implement the cluster algorithm of for N flavors of free fermions and verify it against ...
http://dspace.mit.edu/handle/1721.1/51609
*  Selection (genetic algorithm)
Selection genetic algorithm. Selection genetic algorithm. 'Selection' is the stage of a genetic algorithm in which individual genomes are chosen from a population for later breeding using the crossover operator. A generic selection procedure may be implemented as follows:. The fitness function is evaluated for each individual, providing fitness values, which are then normalized. Normalization means dividing the fitness value of each individual by the sum of all fitness values, so that the sum of all resulting fitness values equals 1. The population is sorted by descending fitness values. Accumulated normalized fitness values are computed the accumulated fitness value of an individual is the sum of its own fitness value plus the fitness values of all the previous individuals. The accumulated fitness of the last individual should be 1 otherwise something went wrong in the normalization step. A random number 'R' between 0 and 1 is chosen. The selected individual is the first one whose accumulated normalized ...
https://en.wikipedia.org/wiki/Selection_(genetic_algorithm)
*  Finextra: Finextra PR: ITG launches Smart Limit algorithm
... Login. sign up. help Share Finextra Delicious. Digg. Facebook. LinkedIn. Reddit. Twitter. 06 October 2015. Blogs. Prakhash Nagabushanam You mean one more software is... TV. Customer is key in banking. Jobs. Senior Sales, Collateral Management Software Euro... Events. Money20/20. News. TV. Innovation. Events. Resources. Careers. Community. Blogs. Menu. . News by sector. Retail banking. Transaction banking. Wholesale banking. Cards. Mobile online. Payments. Post-trade ops. Risk regulation. Security. Start ups. Trade execution. Virtual currency. Latest news. Announcements. » View all announcements Next announcement » Facebook Twitter LinkedIn Reddit Google+ email 0. 0 0 0 1 0 ITG launches Smart Limit algorithm 26 February 2014. 1132 views. 0 Source: ITG ITG ITG, a leading execution and research broker, today announced the launch of ITG Smart Limit Algorithm, an innovative tool which helps institutional investors meet the challenge of trading passively in a highly competitive, fragmented market. ITG Smart ...
http://finextra.com/news/announcement.aspx?pressreleaseid=54106
*  Iterative reconstruction
... thumb|Example showing differences between filtered backprojection right half and iterative reconstruction method left half 'Iterative reconstruction' refers to iterative algorithms used to reconstruct 2D and 3D images in certain imaging techniques. For example, in computed tomography an image must be reconstructed from projections of an object. The reconstruction of an image from the acquired data is an inverse problem. Iterative algorithms approach the correct solution using multiple iteration steps, which allows to obtain a better reconstruction at the cost of a higher computation time. There are a large variety of algorithms, but each starts with an assumed image, computes projections from the image, compares the original projection data and updates the image based upon the difference between the calculated and the actual projections. The advantages of the iterative approach include improved insensitivity to noise and capability of reconstructing an optimal image in the case of incomplete data. In ...
https://en.wikipedia.org/wiki/Iterative_reconstruction
*  Google's Next Algorithm? Downgrading Poor E-Commerce Merchants
Google's Next Algorithm. Google News. Google Updates. Coming Soon: The Google Merchant Quality Algorithm Coming Soon: The Google Merchant Quality Algorithm Mar 11, 2013 8:38 am. Filed Under Google PageRank & Algorithm Updates. Prev Story Next story Tweet. Prev Story Next Story At the popular SXSW conference Friday, Google's head of search spam, Matt Cutts announced that Google will be soon going after bad merchants with a new algorithm targeted at lowering their rankings in Google. Danny Sullivan at Search Engine Land first covered this, quoting Matt's statement during his presentation. Matt said: We have a potential launch later this year, maybe a little bit sooner, looking at the quality of merchants and whether we can do a better job on that, because we don't want low quality experience merchants to be ranking in the search results. Google Goes After Low Quality Merchants. Clearly, Matt is telling low quality merchants to be prepared for a possible downgrade in ranking. Matt Cutts Pre-Announces Second ...
https://seroundtable.com/google-merchant-algorithm-16477.html
*  KLUEDO | Search
KLUEDO. Search. Deutsch. News. Studies. University. Search. Browse. Publish. FAQ. Search Fields. Author s. All strings At least one of the strings None of the strings. Title. All strings At least one of the strings None of the strings. Additional Person s. All strings At least one of the strings None of the strings. Abstract. All strings At least one of the strings None of the strings. All strings At least one of the strings. Refine. Author. O Iliev 1. Ciegis 1. Lakdawala 1. Year of publication. remove. Keywords. Navier-Stokes-Brinkmann system of equations 1. remove. 1 search hit. search hit 1 to 1. On parallel numerical algorithms for simulating industrial filtration problems 2007. Ciegis O. Iliev Z. Lakdawala. The performance of oil filters used in the automotive industry can be significantly improved, especially when computer simulation is an essential component of the design process. In this paper, we consider parallel numerical algorithms for solving mathematical models describing the process of ...
https://kluedo.ub.uni-kl.de/solrsearch/index/search/searchtype/authorsearch/author/"R. Ciegis"/start/0/rows/10/yearfq/2007/subjectfq/Navier-Stokes-Brinkmann system of equations
*  Google October 2009 Toolbar PageRank Update
... Home. Google News. Google Updates. Google October 2009 Toolbar PageRank Update Google October 2009 Toolbar PageRank Update Oct 30, 2009 9:30 am. 16 by Barry Schwartz. Filed Under Google PageRank & Algorithm Updates. Prev Story Next story Tweet. Pin It. Prev Story Next Story There seems to be a Google Toolbar PageRank update going on right now. We have threads on the topic at WebmasterWorld, DigitalPoint Forums and HighRankings Forum. The update seemed to have started sometime yesterday afternoon and many SEOs and webmasters are chatting about it now. The last PageRank update prior to this one was in June 2009, which may have just been a technical quirk because the one prior to that was just a month before in May. In any event, like I say every time: Yes, a Toolbar PageRank update means nothing in terms of your ranking changing anytime soon. The PageRank scores shown in the toolbar are outdated and have zero direct impact on your Google rankings. That doesn't mean that PageRank has no influence, but the ...
https://seroundtable.com/archives/021050.html
*  .. RSA Tells Its Developer Customers: Stop Using NSA-Linked Algorithm
RSA Tells Its Developer Customers: Stop Using NSA-Linked Algorithm. By Kim Zetter. September 20, 2013 Change text size:. /. Email this page. Posted in: Uncategorized. No comments Amidst all of the confusion and concern over an encryption algorithm that may contain an NSA backdoor, RSA Security released an advisory to developer customers today noting that the algorithm is the default in one of its toolkits and strongly advising them to stop using the algorithm. The advisory provides developers with information about how to change the default to one of a number of other random number generator algorithms RSA supports and notes that RSA has also changed the default on its end in BSafe and in an RSA key management system. The company is the first to go public with such an announcement in the wake of revelations by the New York Times that the NSA may have inserted an intentional weakness in the algorithm — known as Dual Elliptic Curve Deterministic Random Bit Generation or Dual EC DRBG — and then used its ...
http://zcommunications.org/znetarticle/rsa-tells-its-developer-customers-stop-using-nsa-linked-algorithm-by-kim-zetter/
*  DSSP (hydrogen bond estimation algorithm)
DSSP hydrogen bond estimation algorithm. DSSP hydrogen bond estimation algorithm. The 'DSSP' algorithm is the standard method for assigning secondary structure to the amino acid s of a protein, given the atomic-resolution coordinates of the protein. The abbreviation is only mentioned once in the 1983 paper describing this algorithm,. 1 where it is the name of the Pascal program that implements the algorithm 'Define Secondary Structure of Proteins'. DSSP begins by identifying the intra-backbone hydrogen bond s of the protein using a purely electrostatic definition, assuming partial charges of -0.42 'e' and +0.20 'e' to the carbonyl oxygen and amide hydrogen respectively, their opposites assigned to the carbonyl carbon and amide nitrogen. : E = 0.084 \left\{ \frac{1}{r {ON}} + \frac{1}{r {CH}} - \frac{1}{r {OH}} - \frac{1}{r {CN}} \right\} \cdot 332 \, \mathrm{kcal/mol}. Based on this, eight types of secondary structure are assigned. The 3 10 helix, α helix and π helix have symbols 'G', 'H' and 'I' and are ...
https://en.wikipedia.org/wiki/DSSP_(hydrogen_bond_estimation_algorithm)
*  Scientists use computer algorithms to develop seasonal fl... ( CORAL GABLES FL (July 9 2010) Defeat
Scientists use computer algorithms to develop seasonal fl... CORAL GABLES FL July 9 2010 Defeat... Home. Biology. Medicine. Technology. Products. News. Definition. Dictionary. Movies. Links. Tags. Search. RSS Navigation Links Biology News Medicine News Biology Products Medicine Products Biology Definition Medicine Definition Biology Technology Medicine Technology Biology Dictionary Medicine Dictionary. HOME >> BIOLOGY >> NEWS. Scientists use computer algorithms to develop seasonal flu vaccines ...CORAL GABLES FL July 9 2010 Defeating the flu is challenging becau...The novel approach uses computer algorithms created by Papamichail and... We have been able to produce an entirely novel method to systematical...One way to make an anti-viral vaccine is to weaken a virus to the poin... http://www.bio-medicine.org/inc/biomed/biology-news.asp http://feeds.bio-medicine.org/latest-biology-news Date:7/9/2010. CORAL GABLES, FL July 9, 2010 Defeating the flu is challenging because the virus responsible for the disease ...
http://bio-medicine.org/biology-news-1/Scientists-use-computer-algorithms-to-develop-seasonal-flu-vaccines-14334-1/
*  DSpace@MIT: A constraint optimization framework for discovery of cellular signaling
... and regulatory networks. DSpace @ MIT A constraint optimization framework for discovery of cellular signaling and regulatory networks. Home → MIT Libraries → MIT Theses → Theses - Computational and Systems Biology → Computational and Systems Biology - Ph.D. A constraint optimization framework for discovery of cellular signaling and regulatory networks. Other Contributors: Massachusetts Institute of Technology. Computational and Systems Biology Program. Department: Massachusetts Institute of Technology. Computational and Systems Biology Program. Publisher: Massachusetts Institute of Technology. Abstract: Cellular signaling and regulatory networks underlie fundamental biological processes such as growth, differentiation, and response to the environment. We present a technique, based on the Steiner tree problem, that uses a probabilistic protein-protein interaction network and high confidence measurement and prediction of protein-DNA interactions, to determine how these hits are organized into functionally ...
http://dspace.mit.edu/handle/1721.1/65772
*  Algorithms/Mathematical Background - Wikibooks, open books for an open world
... Algorithms/Mathematical Background From Wikibooks, open books for an open world Algorithms Jump to: navigation, search Top, Chapters: 1, 2, 3, 4, 5, 6, 7, 8, 9, A. 1 Asymptotic Notation 1.1 Big Omega 1.2 Big Theta 1.3 Little-O and Omega. 2 Algorithm Analysis: Solving Recurrence Equations 2.1 Substitution method 2.2 Summations 2.3 Draw the Tree and Table 2.4 The Master Theorem. Asymptotic Notation. One way is to create a function that describes the usage in terms of some characteristic of the input. We can describe the time this algorithm takes as a function written in terms of. When two different algorithms are similar in time consumption a precise function might help to determine which algorithm is faster under given conditions. Running an insertion sort on elements takes steps on the order of. Merge sort sorts in steps. Therefore, once the input dataset is large enough, merge sort is faster than insertion sort. Big Omega. You still have to go back to the substitution method in order to prove ...
https://en.wikibooks.org/wiki/Algorithms/Mathematical_Background
*  The REFLEX project: Comparing different algorithms and implementations for the inversion of a terre
... strial ecosystem model against eddy covariance data - NERC Open Research Archive. nerc.ac.uk. Help. Contact us. Home. About. Browse. Search. Statistics. NERC Staff Login. The REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data. Tools Tools Tools. RDF+XML BibTeX RDF+N-Triples JSON RefWorks Dublin Core Simple Metadata Refer METS Simple Metadata iShare HTML Citation ASCII Citation OpenURL ContextObject EndNote Dublin Core iShare OpenURL ContextObject in Span MODS MPEG-21 DIDL EP3 XML Reference Manager RDF+N3 Multiline CSV. Fox, Andrew ; Williams, Mathew ; Richardson, Andrew D. ; Cameron, David ; Gove, Jeffrey H. ; Quaife, Tristan ; Ricciuto, Daniel ; Reichstein, Markus ; Tomelleri, Enrico ; Trudinger, Cathy M. ; Van Wijk, Mark T. 2009 The REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data. Agricultural and Forest ...
http://nora.nerc.ac.uk/9438/
*  Unexpected effects of the nofollow attribute on the PageRank
... Ajax. Graphics. How to. HTML 5. JavaScript. Mobiles. Programming. Robotics. RSS. Scripts. Software. SVG. Webmaster. S.E. Algorithm Relevance ranking Ranking criteria PageRank Google patent. Tools Diagnosis of your site. Unexpected effects of the nofollow attribute on the PageRank So far, it was assumed that the use of nofollow attribute removed a link to the calculation of PageRank passed to the linked pages, but a recent statement by the spokesman of Google, calls into question this assertion. A following graph given by Matt Cutts see in links at bottom shows how the PR is transmitted through the links, internal or external. We see that the PR is divided by the number of links and shared between pages. When a link has the nofollow attribute, the link is ignored in order and the PR is divided among the other pages. But it is no longer true, according to a recent statement by Matt Cutts see references : Suppose you have 10 links and 5 of them are nofollowed. There’s this assumption that the other 5 links ...
http://scriptol.com/seo/pagerank-nofollow.php
*  [SciPy-User] Dijkstra's algorithm on a lattice
dijkstra s algorithm on a lattice dijkstra s algorithm on a lattice st fan van der walt stefan sun ac sat nov cst previous message dijkstra s algorithm on a lattice next message dijkstra s algorithm on a lattice messages sorted by hi zach zachary pincus zachary pincus yale edu a bit off topic but before i write some c or cython to do this i thought i d ask to see if anyone knows of existing code for the task of finding the shortest weighted path between two points on a lattice this is what the shortest path routine in scikits image is meant to do how can we modify it to make it more useful to you cheers st fan previous message dijkstra s algorithm on a lattice next message dijkstra s algorithm on a lattice messages sorted by more information about the scipy user mailing list
https://mail.scipy.org/pipermail/scipy-user/2009-November/023408.html
*  High-Temporal Resolution Dual-Energy Computed Tomography of... : Journal of Computer Assisted Tom
... ography. Journal of Computer Assisted Tomography Wolters Kluwer Health Logo. High-Temporal Resolution Dual-Energy Computed Tomography of... If you have access to this article through your institution, you can view this article in. Journal of Computer Assisted Tomography: January/February 2011 - Volume 35 - Issue 1 - pp 119-125 doi: 10.1097/RCT.0b013e3181f87475 Original Articles. High-Temporal Resolution Dual-Energy Computed Tomography of the Heart Using a Novel Hybrid Image Reconstruction Algorithm: Initial Experience Nance, John William Jr MD*; Bastarrika, Gorka MD, PhD*†; Kang, Doo Kyoung MD*‡; Ruzsics, Balazs MD, PhD*§; Vogt, Sebastian PhD∥; Schmidt, Bernhard PhD∥; Raupach, Rainer PhD∥; Flohr, Thomas G. Joseph MD*§. Objectives: Dual-energy computed tomography DECT has been proposed for the comprehensive assessment of coronary artery stenosis and myocardial perfusion yet traditionally required reducing the temporal resolution of cardiac studies. We evaluated a reconstruction algorithm that preserves ...
http://journals.lww.com/jcat/Abstract/2011/01000/High_Temporal_Resolution_Dual_Energy_Computed.23.aspx
*  Blender and FEM (source code and algorithms???) - Blender.org
Blender and FEM source code and algorithms??. - Blender.org. Blender.org Development Forums Skip to content. Search Advanced search. Quick links. Unanswered posts. Active topics. Search. The team. FAQ. Board index. Blender development forums. Academic Research. Search. Blender and FEM source code and algorithms??. An open space where people who use Blender in an academic environment can share progress and the typical problems and needs of academic environments. Post Reply. Print view. Search Advanced search. 2 posts Page 1 of 1. nattydread. Posts: 3. Joined: Thu Jan 10, 2013 11:04 am. Blender and FEM source code and algorithms??. Quote. Post by nattydread. Wed Jan 23, 2013 9:20 am hallo all,. we use blender to map our meshes needed for fem finite element method from an old geometry to a new one automatically. Thatswhy i am looking for the mathematical algorithms used for proportional editing, the lattice modifier and the smoothing algorithms in blender 2.65. it would be great to find some explanations which ...
http://blender.org/forum/viewtopic.php?p=102468
*  sesese/ccv · GitHub
... Sign up Sign in. Pricing. sesese. / ccv. forked from liuliu/ccv. Code Pull requests. Pulse Graphs HTTPS clone URL. Subversion checkout URL. You can clone with. Subversion. C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. 495 commits. 7 branches. Branch: unstable. Switch branches/tags. Branches. Tags. r0.1-rc1. r0.2-rc1. r0.3-rc1. r0.4-rc1. unstable. ccv. / Pull request. This branch is 430 commits behind liuliu:unstable. Fetching latest commit…. Failed to load latest commit information. README.md. README.md. Around 2010, when Lian and I was working on our gesture recognition demo, out of the frustration to abstract redundant image preprocessing operations into a set of clean and concise functions, I started to consider moving away from the stack. Well, after two years, ccv is the very answer. Cached Image Preprocessing. Many computer vision tasks nowadays consist of quite a few preprocessing layers: image pyramid generation, color space conversion etc. These potentially ...
https://github.com/sesese/ccv
*  Video: Advanced algorithm teaches robots to improvise | TG Daily
Video: Advanced algorithm teaches robots to improvise. TG Daily. Simple Homepage Last 7 Days Image Galleries About TG Daily Terms of Use Legal Privacy Advertising More. Augmented Reality Big Data Clean Tech Data Viz Electric Vehicle GIS Hackers IT4Dev Math Neuroscience Open Hardware Robotics Science Security Semiconductors Smartphones Typography UX/UI Technology Business Science Entertainment DIY Tech 3D Printing TG Daily on Facebook TG Daily on Google Plus TG Daily on Twitter TG Daily RSS Feed TG Daily on Google Currents TG Daily Search. Video: Advanced algorithm teaches robots to improvise. Indeed, a team of students from MIT - led by Jennifer Barry and Annie Holladay - have created a number of robotic algorithms in an effort to help them gain new abilities. The sections of the algorithm that Barry was responsible for allows a robotic arm to do things like slide a plate until the edge hangs off of the table, making it easier to pick up. Meanwhile, Holladay coded sections of the algorithm in an effort to ...
http://tgdaily.com/software-brief/69770-video-advanced-algorithm-teaches-robots-to-improvise
*  Parents: “Rainbow” Chemistry Experiment Results in Student Burns
... Register. Forum. Forum. The Estrogen Zone!!!. Parents: “Rainbow” Chemistry Experiment Results in Student Burns. Thread: Parents: “Rainbow” Chemistry Experiment Results in Student Burns. Thread Tools Thread Tools. Parents: “Rainbow” Chemistry Experiment Results in Student Burns. Elspeth. View Profile. View Forum Posts. If you know any kids in high school chemistry, this is a must watch. School Experiment That Burned Boy Was Focus of Federal Warning http://www.nytimes.com/2014/01/04/ny...=science r=1 Only weeks before a chemistry experiment sent a plume of fire across a Manhattan high school science lab, engulfing two students and leaving one with life-threatening burns, a federal safety agency issued a video warning of the dangers of the very same experiment, a common one across the country. There on Thursday, Anna Poole, a young science teacher known for safety consciousness, used methanol as an accelerant to burn dishes of different minerals in the chemistry demonstration known as the Rainbow. In a ...
http://conservativeunderground.com/forum505/showthread.php?59877-Parents-“Rainbow”-Chemistry-Experiment-Results-in-Student-Burns&p=590920
*  PageRank Zero Does Not Mean Google Penalty; Says Google (Correction)
PageRank Zero Does Not Mean Google Penalty; Says Google Correction. Google News. Google SEO. PageRank Zero Does Not Mean Google Penalty; Says Google Correction PageRank Zero Does Not Mean Google Penalty; Says Google Correction Dec 18, 2007 7:56 am. Prev Story Next story Tweet. Prev Story Next Story A topic most SEOs already know, but it is nice to have confirmation from Google. A Google Groups thread has Googlers responding to a Webmaster who's site dropped from a PageRank 4 to a PageRank of 0. It appears this site saw a drop in PageRank, but not a drop in rankings, because it has done Paid Review posts without a disclaimer, said Google. Anyhow, I would just move all the paid posts to a category "paid reviews", add a disclaimer to each saying, this is a paid review, then nofollow the link to the company to not share any pagerank. Not seeing PR does not mean a penalty. If you read the thread carefully, you will notice how the Googler keeps sharing how well the site ranks and that PageRank, in this case, is ...
https://seroundtable.com/archives/015714.html
*  New Diabetes Algorithm Geared to Primary Care | ConsultantLive
New Diabetes Algorithm Geared to Primary Care. Topics: Atrial Fibrillation. Diabetes Type 2. Nervous System Diseases. Browse All Topics All Topics Atrial Fibrillation Cardiovascular Diseases COPD Men's Health Diabetes Type 2 Pain HIV AIDS Nervous System Diseases Obesity Respiratory Diseases. Topics: Atrial Fibrillation. Nervous System Diseases. Browse All Topics All Topics Atrial Fibrillation Cardiovascular Diseases COPD Men's Health Diabetes Type 2 Pain HIV AIDS Nervous System Diseases Obesity Respiratory Diseases. New Diabetes Algorithm Geared to Primary Care. New Diabetes Algorithm Geared to Primary Care. Diabetes Type 2, Cardiovascular Diseases, Hypertension, Men s Health, Obesity, Diabetes By Leo Robert. A new comprehensive diabetes mellitus DM management algorithm for primary care physicians, endocrinologists, and other health care professionals has been created to guide these professionals in the treatment of patients with prediabetes and type 2 DM. • Management of cardiovascular disease risk factors, ...
http://consultantlive.com/diabetes-type-2/new-diabetes-algorithm-geared-primary-care
*  recurrence relations - Recursive algorithm substitution? - Mathematics Stack Exchange
recurrence relations - Recursive algorithm substitution. - Mathematics Stack Exchange. Mathematics. Mathematics Meta. more stack exchange communities. Stack Exchange. sign up log in tour. help. Help Center Detailed answers to any questions you might have. Mathematics Questions. Users. Sign up. Mathematics Stack Exchange is a question and answer site for people studying math at any level and professionals in related fields. Recursive algorithm substitution. The problem is 1-2d: Give asymptotic upper and lower bounds for $T n $ in each of the following recurrences. Make your bounds as tight as possible, and justify your answers. $T n = T \sqrt{n} + \Theta \lg\lg n $ The solution states: Change of variables: Let $m = \lg n$. Recurrence becomes $S m = S m/2 + \Theta \lg m $. Case 2 of Master Theorem applies, so $T n = \Theta \lg\lg n 2 $. How does the given substitution lead to the new recurrence relation. algorithms recurrence-relations share. improve this question. asked Jan 3 '12 at 21:04. if $m = \lg n$, ...
http://math.stackexchange.com/questions/96187/recursive-algorithm-substitution?answertab=votes
*  Do Businesses Who Come Up for a Local Search have a Google Local Business Listing?
Do Businesses Who Come Up for a Local Search have a Google Local Business Listing. Google News. Do Businesses Who Come Up for a Local Search have a Google Local Business Listing. Do Businesses Who Come Up for a Local Search have a Google Local Business Listing. Prev Story Next Story A Cre8asite Forums thread asks whether a business, which is showing up in the Google Local Search Results in the "A" position, has a business listing with Google. She wonders if entering the business location which is currently blank in the Local Business Center would affect the rankings of the business. Their business may be listed, Google's local search may show the correct information for the business, but their Google account is probably not associated with that business, which is why the fields are blank. The Local Business Listing is a way for a business to either add themselves, or to verify the information that exists already in Google's Local Search, and possibly add more information to it. Bill adds that the following ...
https://seroundtable.com/archives/012873.html
*  9781848214989 | Optimization in Engineering Sciences Approximate and Metaheuristic Methods | Borne,
Optimization in Engineering Sciences Approximate and Metaheuristic Methods. RETURN MY RENTAL. Optimization in Engineering Sciences Approximate and Metaheuristic Methods by: Borne, Pierre ; Philip, F. The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems in Engineering Sciences. It examines multi-objective and stochastic optimization, as well as methods and tools for computer-aided decision-making and simulation for decision-making. METAHEURISTICS, POPULATION- BASED METHODS 2.1. Particle Swarm Optimization 2.4.1 General Algorithm 2.4.2. MULTI-OBJECTIVE OPTIMIZATION 3.1 Pareto-optimality 3.2 Choquet Integral 3.3 Optimization with two Objective Functions 3.3.1 Identification and Optimization, Two Control Objectives 3.3.2 Aggregation of Identification and Optimization Stages 3.3.3 Problem Construction and Solution : parametric representation, variables recursive partitioning, approach on the objective functions sensitivity 4. ...
http://knetbooks.com/optimization-engineering-sciences/bk/9781848214989
*  Chromatography Optimization Strategy | BioPharm International
Chromatography Optimization Strategy. Manufacturing. Analytical Methods Analytical Tools. Outsourcing. News. Chromatography Optimization Strategy Robust packing procedures can improve process performance and increase resin lifetime. The optimization of a large-scale chromatography operation involved a strategy combining bench and pilot scale packing stability studies, and evaluation of hardware limitations at bench and large scales. 1 The effects of resin amount on column stability, hydrodynamic properties of compressible media, process resolution, and targeted recovery were evaluated at the bench scale. A robust packing procedure was developed at pilot scale to optimize system suitability, reduce the time required for packing, and improve process performance. The packing optimization provided an increased bed stability, which offered the basis to extend the number of chromatography cycles per packed column. The faster packing method and reduced frequency for packing reduced labor requirements for this step ...
http://biopharminternational.com/chromatography-optimization-strategy

Clonal Selection Algorithm: In artificial immune systems, Clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains how B and T lymphocytes improve their response to antigens over time called affinity maturation. These algorithms focus on the Darwinian attributes of the theory where selection is inspired by the affinity of antigen-antibody interactions, reproduction is inspired by cell division, and variation is inspired by somatic hypermutation.PSI Protein Classifier: PSI Protein Classifier is a program generalizing the results of both successive and independent iterations of the PSI-BLAST program. PSI Protein Classifier determines belonging of the found by PSI-BLAST proteins to the known families.Mac OS X Server 1.0Extracellular: In cell biology, molecular biology and related fields, the word extracellular (or sometimes extracellular space) means "outside the cell". This space is usually taken to be outside the plasma membranes, and occupied by fluid.Gene signature: A gene signature is a group of genes in a cell whose combined expression patternItadani H, Mizuarai S, Kotani H. Can systems biology understand pathway activation?Mexican International Conference on Artificial Intelligence: MICAI (short for Mexican International Conference on Artificial Intelligence) is the name of an annual conference covering all areas of Artificial Intelligence (AI), held in Mexico. The first MICAI conference was held in 2000.Human Proteinpedia: Human Proteinpedia is a portal for sharing and integration of human proteomic data,.Kandasamy et al.Inverse probability weighting: Inverse probability weighting is a statistical technique for calculating statistics standardized to a population different from that in which the data was collected. Study designs with a disparate sampling population and population of target inference (target population) are common in application.Generalizability theory: Generalizability theory, or G Theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations. It is used to determine the reliability (i.Protein subcellular localization prediction: Protein subcellular localization prediction (or just protein localization prediction) involves the computational prediction of where a protein resides in a cell.Cellular microarray: A cellular microarray is a laboratory tool that allows for the multiplex interrogation of living cells on the surface of a solid support. The support, sometimes called a "chip", is spotted with varying materials, such as antibodies, proteins, or lipids, which can interact with the cells, leading to their capture on specific spots.Hyperparameter: In Bayesian statistics, a hyperparameter is a parameter of a prior distribution; the term is used to distinguish them from parameters of the model for the underlying system under analysis.Interval boundary element method: Interval boundary element method is classical boundary element method with the interval parameters.
Corinna CortesBranching order of bacterial phyla (Gupta, 2001): There are several models of the Branching order of bacterial phyla, one of these was proposed in 2001 by Gupta based on conserved indels or protein, termed "protein signatures", an alternative approach to molecular phylogeny. Some problematic exceptions and conflicts are present to these conserved indels, however, they are in agreement with several groupings of classes and phyla.DNA sequencer: A DNA sequencer is a scientific instrument used to automate the DNA sequencing process. Given a sample of DNA, a DNA sequencer is used to determine the order of the four bases: G (guanine), C (cytosine), A (adenine) and T (thymine).Lattice protein: Lattice proteins are highly simplified computer models of proteins which are used to investigate protein folding.Process mining: Process mining is a process management technique that allows for the analysis of business processes based on event logs. The basic idea is to extract knowledge from event logs recorded by an information system.WGAViewer: WGAViewer is a bioinformatics software tool which is designed to visualize, annotate, and help interpret the results generated from a genome wide association study (GWAS). Alongside the P values of association, WGAViewer allows a researcher to visualize and consider other supporting evidence, such as the genomic context of the SNP, linkage disequilibrium (LD) with ungenotyped SNPs, gene expression database, and the evidence from other GWAS projects, when determining the potential importance of an individual SNP.Internet organizations: This is a list of Internet organizations, or organizations that play or played a key role in the evolution of the Internet by developing recommendations, standards, and technology; deploying infrastructure and services; and addressing other major issues.Ontario Genomics Institute: The Ontario Genomics Institute (OGI) is a not-for-profit organization that manages cutting-edge genomics research projects and platforms.The Ontario Genomics Institute OGI also helps scientists find paths to the marketplace for their discoveries and the products to which they lead, and it works through diverse outreach and educational activities to raise awareness and facilitate informed public dialogue about genomics and its social impacts.RV coefficient: In statistics, the RV coefficientSequence clustering: In bioinformatics, sequence clustering algorithms attempt to group biological sequences that are somehow related. The sequences can be either of genomic, "transcriptomic" (ESTs) or protein origin.CS-BLASTProtein–protein interactionDecoding methods: In coding theory, decoding is the process of translating received messages into codewords of a given code. There have been many common methods of mapping messages to codewords.Immersive technologyPopulation stratification: Population stratification is the presence of a systematic difference in allele frequencies between subpopulations in a population possibly due to different ancestry, especially in the context of association studies. Population stratification is also referred to as population structure, in this context.Physical neural network: A physical neural network is a type of artificial neural network in which an electrically adjustable resistance material is used to emulate the function of a neural synapse. "Physical" neural network is used to emphasize the reliance on physical hardware used to emulate neurons as opposed to software-based approaches which simulate neural networks.De novo transcriptome assembly: De novo transcriptome assembly is the method of creating a transcriptome without the aid of a reference genome.Assay sensitivity: Assay sensitivity is a property of a clinical trial defined as the ability of a trial to distinguish an effective treatment from a less effective or ineffective intervention. Without assay sensitivity, a trial is not internally valid and is not capable of comparing the efficacy of two interventions.Plant Proteome Database: The Plant Proteome Database is a National Science Foundation-funded project to determine the biological function of each protein in plants.Sun Q, Zybailov B, Majeran W, Friso G, Olinares PD, van Wijk KJ.Conference and Labs of the Evaluation Forum: The Conference and Labs of the Evaluation Forum (formerly Cross-Language Evaluation Forum), or CLEF, is an organization promoting research in multilingual information access (currently focusing on European languages). Its specific functions are to maintain an underlying framework for testing information retrieval systems and to create repositories of data for researchers to use in developing comparable standards.Matrix model: == Mathematics and physics ==Modified Maddrey's discriminant function: The modified Maddrey's discriminant function) was originally described by Maddrey and Boitnott to predict prognosis in alcoholic hepatitis. It is calculated by a simple formula:Molecular evolution: Molecular evolution is a change in the sequence composition of cellular molecules such as DNA, RNA, and proteins across generations. The field of molecular evolution uses principles of evolutionary biology and population genetics to explain patterns in these changes.List of sequenced eukaryotic genomesGenetic variation: right|thumbBiological network: A biological network is any network that applies to biological systems. A network is any system with sub-units that are linked into a whole, such as species units linked into a whole food web.Massive parallel sequencing: Massive parallel sequencing or massively parallel sequencing is any of several high-throughput approaches to DNA sequencing using the concept of massively parallel processing; it is also called next-generation sequencing (NGS) or second-generation sequencing. Some of these technologies emerged in 1994-1998 and became commercially available since 2005.Health geography: Health geography is the application of geographical information, perspectives, and methods to the study of health, disease, and health care.Vladimir Andreevich Markov: Vladimir Andreevich Markov (; May 8, 1871 – January 18, 1897) was a Russian mathematician, known for proving the Markov brothers' inequality with his older brother Andrey Markov. He died of tuberculosis at the age of 25.Von Neumann regular ring: In mathematics, a von Neumann regular ring is a ring R such that for every a in R there exists an x in R such that . To avoid the possible confusion with the regular rings and regular local rings of commutative algebra (which are unrelated notions), von Neumann regular rings are also called absolutely flat rings, because these rings are characterized by the fact that every left module is flat.Proteomics Standards Initiative: The Proteomics Standards Initiative (PSI) is a working group of Human Proteome Organization. It aims to define data standards for proteomics in order to facilitate data comparison, exchange and verification.Image fusion: In computer vision, Multisensor Image fusion is the process of combining relevant information from two or more images into a single image.Haghighat, M.Volume rendering: 250px|thumb| A volume rendered cadaver head using view-aligned [[texture mapping and diffuse reflection]]Computer-aided diagnosis: In radiology, computer-aided detection (CADe), also called computer-aided diagnosis (CADx), are procedures in medicine that assist doctors in the interpretation of medical images. Imaging techniques in X-ray, MRI, and Ultrasound diagnostics yield a great deal of information, which the radiologist has to analyze and evaluate comprehensively in a short time.Glossary of scientific names: A glossary of the meaning of scientific names of living things, viruses and prions .List of molecular graphics systems: This is a list of software systems that are used for visualizing macromolecules.Vague setChromosome regionsMicrobiota: A microbiota is "the ecological community of commensal, symbiotic and pathogenic microorganisms that literally share our body space". Joshua Lederberg coined the term, emphasising the importance of microorganisms inhabiting the human body in health and disease.Enneanectes: Enneanectes is a genus of triplefin fish in the family Tripterygiidae.Coles PhillipsSciDBRecursive partitioning: Recursive partitioning is a statistical method for multivariable analysis. Recursive partitioning creates a decision tree that strives to correctly classify members of the population by splitting it into sub-populations based on several dichotomous independent variables. The process is termed recursive because each sub-population may in turn be split an indefinite number of times until the splitting process terminates after a particular stopping criterion is reached.STO-nG basis sets: STO-nG basis sets are minimal basis sets, where n primitive Gaussian orbitals are fitted to a single Slater-type orbital (STO). n originally took the values 2 - 6.Temporal analysis of products: Temporal Analysis of Products (TAP), (TAP-2), (TAP-3) is an experimental technique for studyingJigsaw (power tool): A jigsaw power tool is a jigsaw made up of an electric motor and a reciprocating saw blade.Therapeutic Targets Database: Therapeutic Target Database (TTD) is a database provided by Bioinformatics and Drug Design Group in National University of Singapore, which provides information about the known and explored therapeutic protein and nucleic acid targets, the targeted disease, pathway information and the corresponding drugs directed at each of these targets. Also included in this database are links to relevant databases containing information about target function, sequence, 3D structure, ligand binding properties, enzyme nomenclature and drug structure, therapeutic class, clinical development status.XAP Home Automation protocol: xAP is an open protocol used for home automation and supports integration of telemetry and control devices primarily within the home. Common communications networks include RS232, RS485, Ethernet& wireless.Dragomir R. Radev: Dragomir R. Radev is a University of Michigan computer science professor and Columbia University computer science adjunct professor working on natural language processing and information retrieval.The Unscrambler: The Unscrambler® X is a commercial software product for multivariate data analysis, used for calibration of multivariate data which is often in the application of analytical data such as near infrared spectroscopy and Raman spectroscopy, and development of predictive models for use in real-time spectroscopic analysis of materials. The software was originally developed in 1986 by Harald MartensHarald Martens, Terje Karstang, Tormod Næs (1987) Improved selectivity in spectroscopy by multivariate calibration Journal of Chemometrics 1(4):201-219 and later by CAMO Software.Epimedium wushanense: Epimedium wushanense, the Wushan fairy wings, is a flowering plant species in the genus Epimedium.Flux (metabolism): Flux, or metabolic flux is the rate of turnover of molecules through a metabolic pathway. Flux is regulated by the enzymes involved in a pathway.Panmixia: Panmixia (or panmixis) means random mating.King C and Stanfield W.Reaction coordinateAlliance for Zero Extinction: Formed in 2000 and launched globally in 2005, the Alliance for Zero Extinction (AZE) comprises 100 non-governmental biodiversity conservation organizations working to prevent species extinctions by identifying and safeguarding sites where species evaluated to be Endangered or Critically Endangered under International Union for Conservation of Nature (IUCN) criteria only exist at one location on earth."Zero Extinction - Home.Phenotype microarray: The phenotype microarray approach is a technology for high-throughput phenotyping of cells.EcosystemMatrix population models: Population models are used in population ecology to model the dynamics of wildlife or human populations. Matrix population models are a specific type of population model that uses matrix algebra.VisionxLog management knowledge base: The Log Management Knowledge Base is a free database of detailed descriptions on over 20,000 event logs generated by Windows systems, syslog devices and applications.http://www.Monte Carlo methods for option pricing: In mathematical finance, a Monte Carlo option model uses Monte Carlo methods Although the term 'Monte Carlo method' was coined by Stanislaw Ulam in the 1940s, some trace such methods to the 18th century French naturalist Buffon, and a question he asked about the results of dropping a needle randomly on a striped floor or table. See Buffon's needle.