We propose an efficient matrix decomposition Method of Fundamental Solutions algorithm for the solution of certain two-dimensional linear elasticity problems. In particular, we consider the solution o
CiteSeerX - Scientific documents that cite the following paper: Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions,
is a genetic phenomenon that occurs when a normally recessive allele is unmasked and expressed in the phenotype because the dominant allele on the homologous chromosome has been deleted. ...
The singular value decomposition (SVD) is among the most ubiquitous matrix factorizations and is a cornerstone algorithm for data analysis, dimensionality reduction and data compression. However, despite modern computer power, massive data-sets pose a computational challenge for traditional SVD algorithms. We present the R package rsvd, which enables the fast computation of the SVD and related methods, facilitated by randomized algorithms. Specifically, the package provides routines for computing the randomized singular value decomposition, randomized principal component analysis and randomized robust principal component analysis. Randomized algorithms provide an efficient computational framework for reducing the computational demands of traditional (deterministic) matrix factorizations. The key idea is to compute a compressed representation of the data using random sampling. This smaller matrix captures the essential information that can then be used to obtain a low-rank matrix approximation. ...
Many widely used models in unsupervised learning can be viewed as matrix decompositions, where the input matrix is expressed as sums and products of matrices drawn from a few simple priors. We present a unifying framework for matrix decompositions in terms of a context-free grammar which generates a wide variety of structures through the compositional application of a few simple rules. We use our grammar to generically and efficiently infer latent components and estimate predictive likelihood for nearly 1000 structures using a small toolbox of reusable algorithms. Using best-first search over our grammar, we can automatically choose the decomposition structure from raw data by evaluating only a tiny fraction of all models. This gives a recipe for selecting model structure in unsupervised learning situations. The proposed method almost always finds the right structure for synthetic data and backs off gracefully to simpler models under heavy noise. It learns plausible structures for datasets as ...
A method of generating a tomography image includes performing a depth scan on one spot on a surface of a subject using modulated light received from a spatial light modulator, obtaining depth scan data for each of a plurality of patterns of the spatial light modulator by repeating the depth scan on the spot for each of the plurality of patterns, forming a matrix R representing a vector space based on a correlation of signal values of the depth scan data for each of the plurality of patterns, performing a matrix decomposition on the matrix R, dividing the vector space into a noise subspace and a signal subspace based on a matrix obtained by the matrix decomposition, constructing a vector space based on either one or both of components of the signal subspace and components of the noise subspace, and generating a tomography image based on the reconstructed vector space ...
Because of their predictive power, various healthcare systems are attempting to use available data mining techniques to discover hidden relationships as well as trends in huge data available within the clinical database and convert it to valuable information that can be used by physicians and other clinical decision markers. In general, data mining techniques can learn from what was happened in past examples and model oftentimes non-linear relationships between independent and dependent variables. The resulting model provides formalized knowledge and prediction of outcome. For example, Shekar et al. used data mining based decision tree algorithm to discover the most common refractive error in both male and female [1]. Palaniappan et al. presented a prototype that combines the strengths of both an online analytical processing (OLAP) and data mining techniques for clinical decision support systems (DSS) [2]. Jonathan et al. used data mining techniques to explore the factors contributing to cost of ...
Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. Summary. You can check out the sentiment package and the fantastic […] After reading this post you will know: ... Sir is there any machine learning method with which I can do analysis of Survey results. With all the raw data collected, how can we discover structures? are listed in feature-based group. Highly optimized linear algebra libraries like BLAS and CUBLAS make the operations of Vector x Matrix or Matrix x Matrix operations extremely efficient versus piecewise operations on each element. Advertisements. ECE599 (Matrix Analysis 2018 Spring) Reading Group. Arguably two of the most important concepts that you would encounter throughout your Machine Learning journey. ML is one of the most exciting technologies that one would have ever come across. Next Page . Matrix decomposition will be discussed at length later in this series. After ...
Search +Random walk +Coarse graining -Animal social network +Modular structure of brain -Link community -Affiliation graph model -Graphlet -Community -Compression +Network propagation -Matrix decomposition +Community detection ...
Search +Random walk +Coarse graining -Animal social network +Modular structure of brain -Link community -Affiliation graph model -Graphlet -Community -Compression +Network propagation -Matrix decomposition +Seed set expansion +Paul Adams ...
In scattering problems, commonly used techniques are surface and volume integral equations. Discrete dipole approximation (DDA) is an alternate and useful discretization technique to solve these problems where the continuum scatterer is replaced by a set of polarizable dipoles. It is an alternative to volume integral equations and produces a dense matrix equation to be solved. Computationally, the method requires the solution of large dense systems of linear equations, and various iterative methods have been employed in the literature for the purpose. In this work, two distinct methods are proposed that can reduce the cost of computation. The first method to reduce the computation time of the solution is using matrix decomposition methods. The idea in this method is using randomized algorithms for low rank approximating of matrices. When implemented using special kinds of random matrices, the computational complexity of the multilevel solver is comparable to that of the fast multipole method. ...
CiteSeerX - Scientific documents that cite the following paper: Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions.
Topics: numerical linear algebra, finite element methods, boundary integral method.. We will begin by covering a number of issues in numerical linear algebra, such as matrix decomposition theorems, conditioning and stability in the numerical solution of linear systems, and iterative methods. With these tools in hand, we will proceed to discuss the finite element method, continuous and discontinuous Galerkin methods, multigrid methods, and error estimates. We will also cover boundary element and boundary integral techniques for the numerical solution of PDEs recast into integral form.. Incoming students should be comfortable with programming (in C++, Fortran, Python, or Matlab, or...), should have completed coursework in linear algebra, and should have familiarity with solving partial differential equations.. ...
1. The classification of genetics Genetics, the study of the hereditary mechanism, and of the rules by which heritable qualities are transmitted from one generation to the next, is a science sufficiently new for its subdivisions and their mutual relationships to be ill-defined, or, at least, in process of finding their definitions. Consequently, of the many adjectives which one hears and sees applied to the word genetics some are meaningful, while many others imply some distinction scarcely worth making. The wide applicability of Mendels principles invites a classification based on the subject-matter, such as human genetics, Drosophila genetics, mouse genetics, plant genetics, and so on, but no distinction of importance can be made in this way. In recent years indeed, organisms much more different than the higher animals and green plants have been shown to exhibit closely analogous genetic phenomena; the list now includes Protozoa, fungi, bacteria and viruses, and to these obscure and ...
Understanding the causal chain from genotypic to phenotypic variation is a tremendous challenge with huge implications for personalized medicine. Here we argue that linking computational physiology to genetic concepts, methodology and data provides a new framework for this endeavor. We exemplify this causally cohesive genotype-phenotype (cGP) modeling approach using a detailed mathematical model of a heart cell. In silico genetic variation is mapped to parametric variation, which propagates through the physiological model to generate multivariate phenotypes for the action potential and calcium transient under regular pacing, and ion currents under voltage clamping. The resulting genotype-to-phenotype map is characterized using standard quantitative genetic methods and novel applications of high-dimensional data analysis. These analyses reveal many well-known genetic phenomena like intralocus dominance, interlocus epistasis and varying degrees of phenotypic correlation. In particular, we observe
Complete recessivity: The phenotype of the heterozygous genotype shows no traces of the phenotype of the homozygous recessive. ∙ Semidominance (aka Incomplete Dominance): There is a dosage effect to possessing an allele so that the heterozygous phenotype is intermediate between either homozygous phenotypes. o Example in carnations, there is a red flower phenotype caused by a homozygous dominant allele, and a white flower phenotype caused by a recessive homozygous genotype. The heterozygous offspring are pink. If the pink carnation plants are crossed (interbred), the offspring will be ¼ red, ½ pink, and ¼ white. ∙ Codominance: Each allele is expressed at is full value in the heterozygous condition. This type of dominance is probably very common in nature. o Usual example: ABO blood group in human beings Other miscellaneous genetic phenomena: ∙ Epistasis: the expression of one gene (in the phenotype) will be affected by the expression of a second gene. ∙ Polygenic traits: genotypes ...
This divergence is the justification for epigenetic effects that arise. It is known as the kinship theory of genomic imprinting-conflict between maternal and paternal genes lead to the offspring evolving changes in gene expression. This biological arms race rooted in the difference between the mothers and the fathers reproductive goals causes some genes in the offspring to change expression patterns depending on which parent contributed them. For example, some genes are completely on if inherited from the mother and completely off if inherited from the father. These are the genes previously known to be subject to parent-of-origin allelic affects. Not long after Haig and Westoby first proposed their theory, the first parental-specific expression of a gene was discovered, lending their idea much support.. Recent work in the Dulac lab has found that this genetic phenomenon is more prevalent than previously expected. Past work with mice had resulted in the discovery of only about 100 such genes. ...
A single nucleotide change can create a deleterious effect on an organism; for example, genetic disorders. blue phase ... Genetic Aspects of Rarity and Endangerment, - Genetic Aspects of Rarity and Endangerment Covered many aspects in discussion of vortices and readings dealing with viable populations I ll fill in a few more details, - Title: Mutation and Genetic Change Author: Rebecca Moeller Last modified by: Rebecca Stipanovich Created Date: 3/28/2011 12:55:10 AM Document presentation format, Variation in human beings as a quality of life and a genetic phenomenon. Gene mutations include changes in the structure […] And it is more common than you may think. The effects of point mutations depend on how they change the genetic code. Mutation and genetic variation Mutations are raw material of evolution. The random changes a mutation potentially causes to an organisms genetic code causes either 1. Let us understand mutation in terms of genetic codes. Source: Deb 1999 Nonsense mutation: change ...
Genome-wide association studies (GWAS) have been extensively used to study common complex diseases such as coronary artery disease (CAD), revealing 153 suggestive CAD loci, of which at least 46 have been validated as having genome-wide significance. However, these loci collectively explain ,10% of the genetic variance in CAD. Thus, we must address the key question of what factors constitute the remaining 90% of CAD heritability. We review possible limitations of GWAS, and contextually consider some candidate CAD loci identified by this method. Looking ahead, we propose systems genetics as a complementary approach to unlocking the CAD heritability and etiology. Systems genetics builds network models of relevant molecular processes by combining genetic and genomic datasets to ultimately identify key drivers of disease. By leveraging systems-based genetic approaches, we can help reveal the full genetic basis of common complex disorders, enabling novel diagnostic and therapeutic opportunities ...
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PROCEDURE RMAT_ADD_MATERIAL***************/ CREATE OR REPLACE PROCEDURE RMAT_ADD_MATERIAL (pinstance_id IN VARCHAR2) AS -- Logistice v_ResultStr VARCHAR2(2000):=; v_Message VARCHAR2(2000):=; v_Record_ID VARCHAR2(32); -- Parameter TYPE RECORD IS REF CURSOR; Cur_Parameter RECORD; -- Record Info v_Bpartner VARCHAR2(32); v_Client VARCHAR2(32); v_Org VARCHAR2(32); v_Createdby VARCHAR2(32); v_Typematerial CHAR(1); v_SeqNo NUMBER(10); v_Rmat_Id VARCHAR2(32); v_NoOfLines NUMBER(10); -- Copy Cur_Copymaterial RECORD; BEGIN -- Update AD_PInstance DBMS_OUTPUT.PUT_LINE(Updating PInstance - Processing ,, PInstance_ID) ; v_ResultStr:=PInstanceNotFound; AD_UPDATE_PINSTANCE(PInstance_ID, NULL, Y, NULL, NULL) ; BEGIN --BODY -- Get Parameters v_ResultStr:=ReadingParameters; FOR Cur_Parameter IN (SELECT i.Record_ID, p.ParameterName, p.P_String, p.P_Number, p.P_Date FROM AD_PINSTANCE i LEFT JOIN AD_PINSTANCE_PARA p ON i.AD_PInstance_ID=p.AD_PInstance_ID WHERE i.AD_PInstance_ID=PInstance_ID ORDER BY p.SeqNo ...
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I will begin using aprima in a few weeks for billing for a new client. Although I will be receiving training I would like to know if there are any cur
This is a well known genetic phenomenon, known as gene linkage. It means the genes for eye color and bending are located close to one another on the same chromosome. This means they are rarely separated. Coupled with the colloquial genetics idea (Earth Kingdom people tend to have green eyes, etc.) this makes sense.. So we can conclude that the genes for Earth and Water bending lay on the short arm of Chromosome 19, close to 19p13.1-q13.11, and the genes for Fire (brown) and Water (blue) bending lay on the long arm of Chromosome 15.. Air bending is likely entirely different, considering all air nomads were air benders, but Aangs descendants are not pure-breeding air benders. Its likely on a completely different chromosome, and the entire population of Air Nomads were from a common ancestor or population. Its also not linked to any eye color, because look at Jinora and Ikki. This could, however, be explained by the two-Not Brown gene loci, meaning they could have inherited the Chromosome 19 ...
In this fascinating book, Jacques Balthazart presents a simple description of the biological mechanisms that are involved in the determination of sexual orientation in animals and also presumably in humans. Using scientific studies published over the last few decades, he argues that sexual orientation, both homosexual and heterosexual, is under the control of embryonic endocrine and genetic phenomena in which there is little room for individual choice. The author begins with animal studies of the hormonal and neural mechanisms that control the so-called instinctive behaviors and analyzes how this animal work may potentially apply to humans. The book does not focus exclusively on homosexuality, however. Instead, the book acts as a broader guide to the biological basis of sexual orientation, and also discusses important gender differences that may influence sexual orientation. While firmly grounded in the scientific literature, this text is developed for a broader audience and will be of interest to
Read SYSGENET: a meeting report from a new European network for systems genetics, Mammalian Genome on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
Institute for Systems Biology Appoints Pioneer in Systems Genetics to Leadership Role Joseph Nadeau Named as Director of Research and Academic Affairs SEATTLE--(BUSINESS WIRE)--The Institute for
cur) (last) 23:48, 2 June 2009 Z3224430 (Talk , contribs) (41,007 bytes) (→The Process of Meiosis II) (undo) * (cur) (last) 23:47, 2 June 2009 Z3224430 (Talk , contribs) m (41,008 bytes) (→The Process of Meiosis II) (undo) * (cur) (last) 23:47, 2 June 2009 Z3224430 (Talk , contribs) m (41,008 bytes) (→The Process of Meiosis II) (undo) * (cur) (last) 23:45, 2 June 2009 Z3224430 (Talk , contribs) (41,012 bytes) (→Differences Between Male and Female meiosis) (undo) * (cur) (last) 23:44, 2 June 2009 Z3224430 (Talk , contribs) (41,011 bytes) (→Differences Between Male and Female meiosis) (undo) * (cur) (last) 23:39, 2 June 2009 Z3224430 (Talk , contribs) (40,862 bytes) (→The Process of Meiosis II) (undo) * (cur) (last) 23:39, 2 June 2009 Z3224430 (Talk , contribs) (40,857 bytes) (→The Process of Meiosis II) (undo) * (cur) (last) 23:38, 2 June 2009 Z3224430 (Talk , contribs) (40,868 bytes) (→The Process of Meiosis II) (undo) * (cur) (last) 23:37, 2 June 2009 Z3224430 (Talk , contribs) ...
Obeidat, Maen and Hao, Ke and Bossé, Yohan and Nickle, David C. and Nie, Yunlong and Postma, Dirkje S. and Laviolette, Michel and Sandford, Andrew J. and Daley, Denise D. and Hogg, James C. and Elliott, W. Mark and Fishbane, Nick and Timens, Wim and Hysi, Pirro G. and Kaprio, Jaakko and Wilson, James F. and Hui, Jennie and Rawal, Rajesh and Schulz, Holger and Stubbe, Beate and Hayward, Caroline and Polasek, Ozren and Järvelin, Marjo-Riitta and Zhao, Jing Hua and Jarvis, Deborah and Kähönen, Mika and Franceschini, Nora and North, Kari E. and Loth, Daan W. and Brusselle, Guy G. and Smith, Albert Vernon and Gudnason, Vilmundur and Bartz, Traci M and Wilk, Jemma B. and OConnor, George T. and Cassano, Patricia A. and Tang, Wenbo and Wain, Louise V. and Artigas, María Soler and Gharib, Sina A. and Strachan, David P. and Sin, Don D. and Tobin, Martin D. and London, Stephanie J. and Hall, Ian P. and Paré, Peter D. (2015) Molecular mechanisms underlying variations in lung function: a systems ...
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Researchers Create Artificial Eukaryotic Chromosome Researchers led by Dr Jef Boeke of NYU Langone Medical Centers Institute for Systems Genetics have
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Neuralstem, Inc. (NASDAQ:CUR) shares are climbing nearly 6% after announcing this morning it had entered into an official agreement with Tianjin Pharmaceut
LEFT & RIGHT EVOLUTION TOWER HEIM BOLTS MAY PULL OUT CAUSING TOWER TO FALL INTO COCKPIT. 083106 SENT FORMS. 100606 DNR - 74 CORRECCTED. 120506 CUR 1 - 81 CORRECTED. 050307 CUR 2 - 92 CORRECTED. 061107 CUR 3 - 105 CORRECTED. ...
Lozopren Plus AFB este un dezinfectant de nivel înalt inovator şi se recomandă prin concentraţiile de utilizare foarte mici şi timpul de acţiune scurt. Lozopren Plus AFB dezinfectează şi curăţă la un nivel ridicat instrumente termolabile şi termostabile de toate tipurile. Noua formulă activă posedă o putere de curăţare proeminentă, şi la încărcări mari cu albumină, şi îndeplineşte toate proprietăţile unui dezinfectant. Lozopren Plus AFB nu conține aldehide şi fenoli şi astfel este foarte prietenos pentru utilizatori. Adaosul de inhibitori de coroziune oferă un factor de protecţie pentru materialul instrumentelor. Lozopren Plus AFB va fi livrat sub formă de concentrat, concentraţiile mici de utilizare la timp mic de acţiune posedă, pe lângă un spectru larg de acţiune, şi un avantaj economic.. ...
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Hi, I have a script that uses many CURL sessions, and their target is pretty slow (4-5 seconds a request). I want to disable output buffering so that the user isnt stuck there with a blank screen while the (hundred) CUR…
The interaction between gene loci, namely epistasis, is a widespread biological genetic phenomenon. In genome-wide association studies(GWAS), epistasis detection of complex diseases is a major challenge. Although many approaches using statistics, machine learning, and information entropy were proposed for epistasis detection, the privacy preserving for single nucleotide polymorphism(SNP) data has been largely ignored. Thus, this paper proposes a novel two-stage approach. A fusion strategy assists in combining and sorting the SNPs importance scores obtained by the relief and mutual information, thereby obtaining a candidate set of SNPs. This avoids missing some SNPs with strong interaction. Furthermore, differentially private decision tree is applied to search for SNPs. This achieves the efficient epistasis detection of complex diseases on the basis of privacy preserving compared with heuristic methods. The recognition rate on simulation data set is more than 90%. Also, several susceptible loci including
DataMed is a prototype biomedical data search engine. Its goal is to discover data sets across data repositories or data aggregators. In the future it will allow searching outside these boundaries. DataMed supports the NIH-endorsed FAIR principles of Findability, Accessibility, Interoperability and Reusability of datasets with current functionality assisting in finding datasets and providing access information about them.
Article 1: Article Title: Resveratrol and curcumin enhance pancreatic β-cell function by inhibiting phosphodiesterase activity Article Description: The key aim of this study is to determine the relationship between pancreatic β-cell function, resveratrol (RES) and curcumin (CUR), to examine whether or not RES and CUR enhances pancreatic β-cell function. RES and CUR are polyphenols, found predominately within fruits and turmeric, which have been previously reported to contain medicinal properties that are beneficial to diabetes mellitus patients. Previously published studies claim that the therapeutic properties of RES and CUR can be attributed to their anti-inflammatory effects and protection against β-cell dysfunction. This study thus seeks to examine such reported phenomenon by examining the mechanism/s of action of RES and CUR in β-cells. Results indicate that RES and CUR regulate insulin secretion under glucose-stimulated conditions, and increase intracellular levels of cAMP, which ...
At file:///home/marko/innobase/dev/mysql2a/5.5-innodb/ based on revid:[email protected] 3302 Marko Mäkelä 2011-02-02 [merge] Merge mysql-5.1-innodb to mysql-5.5-innodb. modified: storage/innobase/btr/btr0cur.c storage/innobase/buf/buf0buf.c storage/innobase/fsp/fsp0fsp.c storage/innobase/ibuf/ibuf0ibuf.c storage/innobase/include/btr0cur.h storage/innobase/include/buf0buf.h storage/innobase/include/univ.i storage/innobase/row/row0ins.c storage/innobase/row/row0purge.c storage/innobase/row/row0umod.c storage/innobase/row/row0upd.c === modified file storage/innobase/btr/btr0cur.c --- a/storage/innobase/btr/btr0cur.c revid:[email protected] +++ b/storage/innobase/btr/btr0cur.c revid:[email protected] @@ -197,7 +197,7 @@ static ulint btr_rec_get_externally_stored_len( /*==============================*/ - rec_t* rec, /*!, in: record */ + const rec_t* rec, /*!, in: record */ const ulint* offsets);/*!, in: array returned by rec_get_offsets() */ #endif /* !UNIV_HOTBACKUP */ ...
It has been an excellent day for Neuralstem, Inc. (NYSEMKT:CUR)l, as its shares started trading on a higher note with a 5.1% increase in its share price...
Extend the extmem autotest to check whether the memseg lists for externally allocated memory are always marked as external. Signed-off-by: Anatoly Burakov ,anatoly.burakov at intel.com, --- test/test/test_external_mem.c , 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/test/test/test_external_mem.c b/test/test/test_external_mem.c index 845c625d6..5557f6e3f 100644 --- a/test/test/test_external_mem.c +++ b/test/test/test_external_mem.c @@ -13,6 +13,7 @@ #include ,rte_common.h, #include ,rte_debug.h, #include ,rte_eal.h, +#include ,rte_eal_memconfig.h, #include ,rte_errno.h, #include ,rte_malloc.h, #include ,rte_ring.h, @@ -29,10 +30,18 @@ check_mem(void *addr, rte_iova_t *iova, size_t pgsz, int n_pages) /* check that we can get this memory from EAL now */ for (i = 0; i , n_pages; i++) { + const struct rte_memseg_list *msl; const struct rte_memseg *ms; void *cur = RTE_PTR_ADD(addr, pgsz * i); - ms = rte_mem_virt2memseg(cur, NULL); + msl = rte_mem_virt2memseg_list(cur); + ...
Investment Background Neuralstem has been absolutely pummeled this year as the price has declined from a closing of $2.72 on December 31, 2014 to a current
Dear list members, I create a pdf file with a number of barplots and histograms: pdf(file=my.pdf.file, paper=a4, width=6, height=10) ... dev.off() Then I run a model and plot fitted vs residuals and interactively (using identify()) label some of the residuals on that plot. After that I want to append this interactive plot to the already existing PDF file. How can I do that? I tried opening new device with x11() then plotting fitted vs residuals in it and then (since pdf device is still open) dev.copy(dev.cur(), which=dev.prev()) but this produces error message : Error in dev.copy(dev.cur(), which = dev.prev()) : cannot supply which and device at the same time and when I close off the devices, my PDF file contains only barplots and histograms. Could someone please instruct me? Thank you in advance for your time and help. -- Jonas Malmros Stockholm University Stockholm, Sweden ...
Salut, sunt Serban si acesta este al treizecilea tutorial dintr-o suita de tutoriale ale limbajului C++, tutoriale ce le voi face pentru tutorialevideo.info; In
Economie europeana Constantin 22.10.2011 Curs nr.1 Zona de comert liber.Caracterizata prin desfiintarea barierelor tarifare si netarifare din cal...