Database Management Systems: Software designed to store, manipulate, manage, and control data for specific uses.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.User-Computer Interface: The portion of an interactive computer program that issues messages to and receives commands from a user.Software: Sequential operating programs and data which instruct the functioning of a digital computer.Information Storage and Retrieval: Organized activities related to the storage, location, search, and retrieval of information.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.Management Information Systems: Systems designed to provide information primarily concerned with the administrative functions associated with the provision and utilization of services; also includes program planning, 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.Databases, Genetic: Databases devoted to knowledge about specific genes and gene products.Software Design: Specifications and instructions applied to the software.Information Systems: Integrated set of files, procedures, and equipment for the storage, manipulation, and retrieval of information.Microcomputers: Small computers using LSI (large-scale integration) microprocessor chips as the CPU (central processing unit) and semiconductor memories for compact, inexpensive storage of program instructions and data. They are smaller and less expensive than minicomputers and are usually built into a dedicated system where they are optimized for a particular application. "Microprocessor" may refer to just the CPU or the entire microcomputer.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)Computer Communication Networks: A system containing any combination of computers, computer terminals, printers, audio or visual display devices, or telephones interconnected by telecommunications equipment or cables: used to transmit or receive information. (Random House Unabridged Dictionary, 2d ed)Integrated Advanced Information Management Systems: A concept, developed in 1983 under the aegis of and supported by the National Library of Medicine under the name of Integrated Academic Information Management Systems, to provide professionals in academic health sciences centers and health sciences institutions with convenient access to an integrated and comprehensive network of knowledge. It addresses a wide cross-section of users from administrators and faculty to students and clinicians and has applications to planning, clinical and managerial decision-making, teaching, and research. It provides access to various types of clinical, management, educational, etc., databases, as well as to research and bibliographic databases. In August 1992 the name was changed from Integrated Academic Information Management Systems to Integrated Advanced Information Management Systems to reflect use beyond the academic milieu.Information Management: Management of the acquisition, organization, storage, retrieval, and dissemination of information. (From Thesaurus of ERIC Descriptors, 1994)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.Clinical Laboratory Information Systems: Information systems, usually computer-assisted, designed to store, manipulate, and retrieve information for planning, organizing, directing, and controlling administrative and clinical activities associated with the provision and utilization of clinical laboratory services.Operating Room Information Systems: Information systems, usually computer-assisted, designed to store, manipulate, and retrieve information for planning, organizing, directing, and controlling administrative activities associated with the provision and utilization of operating room services and facilities.Patient Care Management: Generating, planning, organizing, and administering medical and nursing care and services for patients.Computer Systems: Systems composed of a computer or computers, peripheral equipment, such as disks, printers, and terminals, and telecommunications capabilities.Disease Management: A broad approach to appropriate coordination of the entire disease treatment process that often involves shifting away from more expensive inpatient and acute care to areas such as preventive medicine, patient counseling and education, and outpatient care. This concept includes implications of appropriate versus inappropriate therapy on the overall cost and clinical outcome of a particular disease. (From Hosp Pharm 1995 Jul;30(7):596)Animal Husbandry: The science of breeding, feeding and care of domestic animals; includes housing and nutrition.Health Information Management: Management of the acquisition, organization, retrieval, and dissemination of health information.Programming Languages: Specific languages used to prepare computer programs.Workflow: Description of pattern of recurrent functions or procedures frequently found in organizational processes, such as notification, decision, and action.Total Quality Management: The application of industrial management practice to systematically maintain and improve organization-wide performance. Effectiveness and success are determined and assessed by quantitative quality measures.Medical Records Systems, Computerized: Computer-based systems for input, storage, display, retrieval, and printing of information contained in a patient's medical record.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.Management Audit: Management review designed to evaluate efficiency and to identify areas in need of management improvement within the institution in order to ensure effectiveness in meeting organizational goals.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)Neuroanatomy: Study of the anatomy of the nervous system as a specialty or discipline.Databases, Protein: Databases containing information about PROTEINS such as AMINO ACID SEQUENCE; PROTEIN CONFORMATION; and other properties.Computer Security: Protective measures against unauthorized access to or interference with computer operating systems, telecommunications, or data structures, especially the modification, deletion, destruction, or release of data in computers. It includes methods of forestalling interference by computer viruses or so-called computer hackers aiming to compromise stored data.Safety Management: The development of systems to prevent accidents, injuries, and other adverse occurrences in an institutional setting. The concept includes prevention or reduction of adverse events or incidents involving employees, patients, or facilities. Examples include plans to reduce injuries from falls or plans for fire safety to promote a safe institutional environment.Hospital Information Systems: Integrated, computer-assisted systems designed to store, manipulate, and retrieve information concerned with the administrative and clinical aspects of providing medical services within the hospital.Radiology Information Systems: Information systems, usually computer-assisted, designed to store, manipulate, and retrieve information for planning, organizing, directing, and controlling administrative activities associated with the provision and utilization of radiology services and facilities.Planning Techniques: Procedures, strategies, and theories of planning.Health Records, Personal: Longitudinal patient-maintained records of individual health history and tools that allow individual control of access.Risk Management: The process of minimizing risk to an organization by developing systems to identify and analyze potential hazards to prevent accidents, injuries, and other adverse occurrences, and by attempting to handle events and incidents which do occur in such a manner that their effect and cost are minimized. Effective risk management has its greatest benefits in application to insurance in order to avert or minimize financial liability. (From Slee & Slee: Health care terms, 2d ed)Automatic Data Processing: Data processing largely performed by automatic means.Laboratories: Facilities equipped to carry out investigative procedures.Medical Informatics: The field of information science concerned with the analysis and dissemination of medical data through the application of computers to various aspects of health care and medicine.Documentation: Systematic organization, storage, retrieval, and dissemination of specialized information, especially of a scientific or technical nature (From ALA Glossary of Library and Information Science, 1983). It often involves authenticating or validating information.Drug Therapy, Computer-Assisted: Adjunctive computer programs in providing drug treatment to patients.Personnel Staffing and Scheduling Information Systems: Computer-based systems for use in personnel management in a facility, e.g., distribution of caregivers with relation to patient needs.Hospital Administration: Management of the internal organization of the hospital.Algorithms: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.

*  Compare Hortonworks vs. Percona in Operational Database Management Systems | Gartner Peer Insights

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*  Patent US5557794 - Data management system for a personal data base - Google Patents

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*  Patent US7457796 - Method using virtual replicated tables in a cluster database management system - Google Patents

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*  Management and Information Systems Articles & Databases

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*  CSC 440 Database Management Systems

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*  Proposed Designation of Databases for Treasury's Working System Under the Do Not Pay Initiative, 43041-43048 [2017-19433] ::...

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*  Ingres Enterprise Relational Database Management System - Actian

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*  What is a Database Management System? - Purpose and Function | Database Management System Homework Help | Database Management...

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*  Definition of DataBase Management System

A DataBase Management System is a most important part of any commercial data based application development. At very minimum it is know as a computer system application facilitating capturing, storing and manipulating the data. However for working professionals a comprehensive and scientific approach is required towards defining this term.

*  Example-revoke all on emp from mca12, Database Management System

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*  CSC 440 Database Management Systems

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*  Fungsi-Fungsi dari Database Management System (DBMS)

Sebuah DBMS menyediakan katalog yang menyimpan item-item data yang disimpan dan dapat diakses oleh pengguna. Fitur utama dari arsitektur ANSI-SPARC adalah system catalog terintegrasi yang berisi data mengenai schema, pengguna (user), aplikasi, dimana katalog dapat diakses oleh pengguna sama seperti DBMS. Metadata atau "data about data" yang menggambarkan data yang ada didalam basis data disimpan di system catalog atau data dictionary. System catalog merupakan salah satu komponen fundamental dari sistem. Didalam DBMS, system catalog menyimpan ...

*  Database Management System for Capital Markets - Algorithmic Trading, Quantitative Analysis, Order Matching

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*  Biology-Online • View topic - BioInfoMan: The Sequence Analysis and Data Management System

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*  Cisco, Cloudera and The Future of Data Management - on Display at Cloudera Sessions

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*  Limit Session Metadata Writes (current)

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SciDBImmersive technologyMac OS X Server 1.0Conference 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.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.Emergency Management Information System: Emergency Management Information System (EMIS) is a computer database for disaster response that provides graphical, real-time information to responders.List of molecular graphics systems: This is a list of software systems that are used for visualizing macromolecules.Extracellular: 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.List of software development philosophies: This is a list of approaches, styles, and philosophies in software development not included in the category tree of software development philosophies. It contains also software development processes, software development methodologies and single practices, principles and laws.Patient-Reported Outcomes Measurement Information System: The Patient Reported Outcomes Measurement Information System (PROMIS®) provides clinicians and researchers access to reliable, valid, and flexible measures of health status that assess physical, mental, and social well–being from the patient perspective. PROMIS measures are standardized, allowing for assessment of many patient-reported outcome domains—including pain, fatigue, emotional distress, physical functioning and social role participation—based on common metrics that allow for comparisons across domains, across chronic diseases, and with the general population.Visual 1050Acknowledgement (data networks): In data networking, an acknowledgement (or acknowledgment) is a signal passed between communicating processes or computers to signify acknowledgement, or receipt of response, as part of a communications protocol. For instance, ACK packets are used in the Transmission Control Protocol (TCP) to acknowledge the receipt of SYN packets when establishing a connection, data packets while a connection is being used, and FIN packets when terminating a connection.Laurel Hill Presbyterian Church (Dunbar, Pennsylvania): {{Infobox churchTheory of Motivated Information Management: Theory of Motivated Information Management or TMIM, is a social-psychological framework that examines the relationship between information management and uncertainty. The theory posits that individuals are “motivated to manage their uncertainty levels when they perceive a discrepancy between the level of uncertainty they have about an important issue and the level of uncertainty they want” (Guerrero et al.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.Agilent ChemStation: Agilent ChemStation is a software package to control Agilent liquid chromatography and gas chromatography systems such as the 1050, 1100 and 1200 Series HPLC system. It is an evolution of the Hewlett-Packard ChemStation System.Disease management (health): Disease management is defined as "a system of coordinated healthcare interventions and communications for populations with conditions in which patient self-care efforts are significant."Care Continuum Alliance.College of Veterinary Science and Animal Husbandry, Anand: The College of Veterinary Science and Animal Husbandry, Anand was founded in 1964. It is a part of AAU, Anand, Gujarat, India.Dr. Ezekiel R. Dumke College of Health Professions: The Dr. Ezekiel R.RDF query language: An RDF query language is a computer language, specifically a query language for databases, able to retrieve and manipulate data stored in Resource Description Framework format.HydrosilaHuman Proteinpedia: Human Proteinpedia is a portal for sharing and integration of human proteomic data,.Kandasamy et al.Salt (cryptography): In cryptography, a salt is random data that is used as an additional input to a one-way function that hashes a password or passphrase.Salts are closely related to the concept of nonce.Hamid GhodseDR Systems: DR Systems, Inc. is an independent provider of enterprise imaging and information management systems for hospitals, integrated healthcare networks and diagnostic imaging centers.Health management system: The health management system (HMS) is an evolutionary medicine regulative process proposed by Nicholas Humphrey reprinted fromRisk governance: Risk governance refers to the institutions, rules conventions, processes and mechanisms by which decisions about risks are taken and implemented. It can be both normative and positive, because it analyses and formulates risk management strategies to avoid and/or reduce the human and economic costs caused by disasters.VisionxElectron Microscopy Center: The Electron Microscopy Center is a scientific user facility at Argonne National Laboratory. The EMC works to solve materials problems using their unique capabilities for electron beam characterization.Translational bioinformatics: Translational Bioinformatics (TBI) is an emerging field in the study of health informatics, focused on the convergence of molecular bioinformatics, biostatistics, statistical genetics, and clinical informatics. Its focus is on applying informatics methodology to the increasing amount of biomedical and genomic data to formulate knowledge and medical tools, which can be utilized by scientists, clinicians, and patients.Point of care: Clinical point of care is when clinicians deliver healthcare products and services to patients at the time of care.Information at the Point of Care: Answering Clinical Questions.Ravi Iyengar: Ravi Iyengar, is a systems biologist and director of the Experimental Therapeutics Institute at the Icahn School of Medicine at Mount Sinai in New York City, as well as the Dorothy H. and Lewis Rosenstiel Professor and chairman of the Department of Pharmacology and Systems Therapeutics and director and principal investigator of the NIGMS-funded Systems Biology Center New York at The Mount Sinai Medical Center.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.

(1/2276) HICLAS: a taxonomic database system for displaying and comparing biological classification and phylogenetic trees.

MOTIVATION: Numerous database management systems have been developed for processing various taxonomic data bases on biological classification or phylogenetic information. In this paper, we present an integrated system to deal with interacting classifications and phylogenies concerning particular taxonomic groups. RESULTS: An information-theoretic view (taxon view) has been applied to capture taxonomic concepts as taxonomic data entities. A data model which is suitable for supporting semantically interacting dynamic views of hierarchic classifications and a query method for interacting classifications have been developed. The concept of taxonomic view and the data model can also be expanded to carry phylogenetic information in phylogenetic trees. We have designed a prototype taxonomic database system called HICLAS (HIerarchical CLAssification System) based on the concept of taxon view, and the data models and query methods have been designed and implemented. This system can be effectively used in the taxonomic revisionary process, especially when databases are being constructed by specialists in particular groups, and the system can be used to compare classifications and phylogenetic trees. AVAILABILITY: Freely available at the WWW URL: CONTACT:;  (+info)

(2/2276) Identifying diabetes mellitus or heart disease among health maintenance organization members: sensitivity, specificity, predictive value, and cost of survey and database methods.

We conducted a study of the sensitivity, specificity, positive predictive value, and cost of two methods of identifying diagnosed diabetes mellitus or heart disease among members of a health maintenance organization (HMO). Among 3186 adult HMO members who were attending one primary care clinic, 2326 were reached for a telephone survey (efficiency = 0.73). Among these members, 1991 answered standardized questions to ascertain whether they had diabetes or heart disease (corrected response rate = 0.85). Linkage was then made to computerized diagnostic databases. By means of both a database method and a survey method, the 1976 members with complete data for analysis were classified as having or not having diabetes or heart disease. When results with the two methods disagreed, charts were reviewed to confirm the presence or absence of diabetes or heart disease. Diabetes was identified among 4.7% of adult members, and heart disease was identified among 3.7%. Identification of diabetes differed between the database method and the survey method (sensitivity 0.91 vs 0.98, specificity 0.99 vs 0.99, positive predictive value 0.94 vs 0.83). Identification of heart attach history was similar for the database method and the survey method (sensitivity 0.89 vs 0.95, specificity 0.99 vs 0.99, positive predictive value 0.79 vs 0.81). The cost of obtaining data was $13.50 per member for the survey method and $0.30 per member for the database method. Database methods or survey methods of identifying selected chronic diseases among HMO members may be acceptable for various purposes, but database identification methods appear to be less expensive and provide information on a higher proportion of HMO members than do survey methods. Accurate identification of chronic diseases among patients supports clinic-level measures for clinical improvement, research, and accountability.  (+info)

(3/2276) Prevalence and cost of hospitalization for gastrointestinal complications related to peptic ulcers with bleeding or perforation: comparison of two national databases.

The purpose of this study was to determine the prevalence and cost of hospitalization for upper gastrointestinal complications, including peptic ulcers with hemorrhage or perforation. Upper gastrointestinal complications and corresponding economic data were obtained from two sources. The first was a 20% sample of all community hospital discharges (about 6 million per year) from 11 states for 1991 and 1992 Hospital Cost Utilization Project; HCUP-3). The second source of data was a claims database for employees of large US corporations and their dependents for 1992, 1993, and 1994 (about 3.5 million covered lives per year; MarketScan). A group of ICD-9 codes for the diagnosis of peptic and gastroduodenal ulcers with bleeding or perforation were used to identify hospital admissions because of upper gastrointestinal complications. Similar patterns were observed across the MarketScan and HCUP-3 databases regarding hospitalization with diagnoses related to gastrointestinal complications identified according to the ICD-9 codes. The average age of patients with upper gastrointestinal complications was 66 years in the HCUP-3 database and 52 years in the MarketScan database. The average annual rates of upper gastrointestinal complications as a primary or secondary diagnosis were 6.4 and 6.7 per 1000 discharges for 1991 and 1992, respectively (HCUP-3), and 4.3, 4.2, and 4.9 per 1000 admissions for 1992, 1993, and 1994, respectively (MarketScan). The average length of stay for upper gastrointestinal complications as a primary diagnosis was 7.8 days in 1991 and 7.5 days in 1992 (HCUP-3) and 6.1, 5.1, and 5.1 days in 1992, 1993, and 1994, respectively (MarketScan). The national average total charge for hospitalization for gastrointestinal problems as a primary diagnosis was $12,970 in 1991 and $14,294 in 1992 (HCUP-3). The average total reimbursement for hospitalizations related to upper gastrointestinal problems was $15,309 in 1992, $12,987 in 1993, and $13,150 in 1994 (MarketScan). Hospital admissions for upper gastrointestinal complications are expensive. The rate and cost per admission are higher for the older population. The results on the elements covered by both databases are consistent. Therefore the databases complement each other on the type of information abstracted.  (+info)

(4/2276) DNA microarray technology: the anticipated impact on the study of human disease.

One can imagine that, one day, there will be a general requirement that relevant array data be deposited, at the time of publication of manuscripts in which they are described, into a single site made available for the storage and analysis of array data (modeled after the GenBank submission requirements for DNA sequence information). With this system in place, one can anticipate a time when data from thousands of gene expression experiments will be available for meta-analysis, which has the potential to balance out artifacts from many individual studies, thus leading to more robust results and subtle conclusions. This will require that data adhere to some type of uniform structure and format that would ideally be independent of the particular expression technology used to generate it. The pros and cons of various publication modalities for these large electronic data sets have been discussed elsewhere [12], but, practical difficulties aside, general depositing must occur for this technology to reach the broadest range of investigators. Finally, as mentioned at the beginning of this review, it is unfortunate that this important research tool remains largely restricted to a few laboratories that have developed expertise in this area and to a growing number of commercial interests. Ultimately the real value of microarray technology will only be realized when this approach is generally available. It is hoped that issues including platforms, instrumentation, clone availability, and patents [20] will be resolved shortly, making this technology accessible to the broadest range of scientists at the earliest possible moment.  (+info)

(5/2276) Motif-based searching in TOPS protein topology databases.

MOTIVATION: TOPS cartoons are a schematic ion of protein three-dimensional structures in two dimensions, and are used for understanding and manual comparison of protein folds. Recently, an algorithm that produces the cartoons automatically from protein structures has been devised and cartoons have been generated to represent all the structures in the structural databank. There is now a need to be able to define target topological patterns and to search the database for matching domains. RESULTS: We have devised a formal language for describing TOPS diagrams and patterns, and have designed an efficient algorithm to match a pattern to a set of diagrams. A pattern-matching system has been implemented, and tested on a database derived from all the current entries in the Protein Data Bank (15,000 domains). Users can search on patterns selected from a library of motifs or, alternatively, they can define their own search patterns. AVAILABILITY: The system is accessible over the Web at  (+info)

(6/2276) Wrapping SRS with CORBA: from textual data to distributed objects.

MOTIVATION: Biological data come in very different shapes. Databanks are maintained and used by distinct organizations. Text is the de facto Standard exchange format. The SRS system can integrate heterogeneous textual databanks but it was lacking a way to structure the extracted data. RESULTS: This paper presents a CORBA interface to the SRS system which manages databanks in a flat file format. SRS Object Servers are CORBA wrappers for SRS. They allow client applications (visualisation tools, data mining tools, etc.) to access and query SRS servers remotely through an Object Request Broker (ORB). They provide loader objects that contain the information extracted from the databanks by SRS. Loader objects are not hard-coded but generated in a flexible way by using loader specifications which allow SRS administrators to package data coming from distinct databanks. AVAILABILITY: The prototype may be available for beta-testing. Please contact the SRS group (  (+info)

(7/2276) The strategic and operational characteristics of a distributed phased archive for a multivendor incremental implementation of picture archiving and communications systems.

The long-term (10 years) multimodality distributed phased archive for the Medical Information, Communication and Archive System (MICAS) is being implemented in three phases. The selection process took approximately 10 months. Based on the mandatory archive attributes and desirable features, Cemax-Icon (Fremont, CA) was selected as the vendor. The archive provides for an open-solution allowing incorporation of leading edge, "best of breed" hardware and software and provides maximum flexibility and automation of workflow both within and outside of radiology. The solution selected is media-independent, provides expandable storage capacity, and will provide redundancy and fault tolerance in phase II at minimum cost. Other attributes of the archive include scalable archive strategy, virtual image database with global query, and an object-oriented database. The archive is seamlessly integrated with the radiology information system (RIS) and provides automated fetching and routing, automated study reconciliation using modality worklist manager, clinical reports available at any Digital Imaging and Communications in Medicine (DICOM) workstation, and studies available for interpretation whether validated or not. Within 24 hours after a new study is acquired, four copies will reside within different components of the archive including a copy that can be stored off-site. Phase II of the archive will be installed during 1999 and will include a second Cemax-Icon archive and database using archive manager (AM) Version 4.0 in a second computer room.  (+info)

(8/2276) Establishing radiologic image transmission via a transmission control protocol/Internet protocol network between two teaching hospitals in Houston.

The technical and management considerations necessary for the establishment of a network link between computed tomography (CT) and magnetic resonance imaging (MRI) networks of two geographically separated teaching hospitals are presented. The University of Texas Medical School at Houston Department of Radiology provides radiology residency training at its primary teaching hospital and at a second county-run hospital located approximately 12 miles away. A direct network link between the two hospitals was desired to permit timely consultative services to residents and professional colleagues. The network link was established by integrating the county hospital free-standing imaging network into the network infrastructure of the Medical School and the main teaching hospital. Technical issues involved in the integration were reassignment of internet protocol (IP) addresses, determination of data transmission protocol compatibilities, proof of connectivity and image transmission, transmission speeds and network loading, and management of the new network. These issues were resolved in a planned stepwise fashion and despite the fact that the system has a rate-limiting T1 segment between the county hospital and the teaching hospital the transmission speed was deemed suitable. The project has proven successful and can provide a guide for planning similar projects elsewhere. It has in fact made possible several new services for the teaching and research activities of the department's faculty and residents, which were not envisaged before the implementation of this connection.  (+info)

relational databases

  • It is usually used with all relational databases for data manipulation and definition. (
  • In relational databases, it's the relation (or, table). (
  • I would classify all relational databases as relational, despite implementation optimizations. (


  • All the relational systems support SQL, therefore allowing migration of database from one DBMS to a different. (
  • Thanks to two major trends - DBMS specialization and the NoSQL movement - the database management systems space is generating more interest and more innovation than any time I can remember since the 1980s. (


  • The system can handle a title or an index attached to each data of a data base, a character string corresponding to the title or index or a retrieval keyword as same with other data or an independent accessible manner. (
  • 2. A data management system as set forth in claim 1 further comprising designating means, when a plurality of data records are retrieved by the retrieval means, for designating a data record of which data body is to be displayed on the display means on the basis of data names of the plurality of data records displayed on the display means. (
  • 6. A data management system as set forth in claim 5, wherein the display means further includes a third area for displaying the retrieval word entered through the input means. (
  • 7. A data management system as set forth in claim 1 further comprising editing means for editing the data stored in the memory means, wherein a user interface of the editing means is provided with three individual areas for inputting and displaying the data name, the data body, and the keywords for data retrieval, respectively. (
  • 8. A data management system as set forth in claim 7, wherein the editing means comprises automatic register means for automatically registering data names as keywords to be matched with the retrieval word. (
  • 9. A data management system as set forth in claim 1 further comprising additional display area creating means for creating one or more additional display areas to display data including at least part of the retrieval result of the retrieval means which has been displayed in a display area, display contents in the one or more additional display areas being independent of subsequent modification to display contents in the display area. (
  • Databases are computerized information storage and retrieval systems. (


  • The Microsoft Enterprise Consortium (MEC) provides data and instructional resources to faculty in business colleges through access to several data sets to be used for teaching a range of topics: fundamentals of database management, beginning and advanced SQL, data warehouses, business intelligence (data mining, data cubes and dimensional reporting). (
  • Additionally, e-mail, Internet, basic Windows operating systems fundamentals and file management skills will be covered. (
  • Topics include fundamentals of Web authoring, understanding the Dreamweaver user interface, site management, working with HTML/XHTML tags, using and manipulating data tables, working with images, linking and navigation, using cascading style sheets for page presentation, and troubleshooting and testing. (


  • Software Asset Management (SAM) is an important IT asset management strategy used by organizations to effectively manage their software assets. (
  • But if you are like most organizations, you are spending about 75% of your time just managing the complexity of current systems to accommodate evolving business demands. (
  • Freshservice is a SaaS-based IT Help Desk and service management solution that enables organizations to simplify their IT operations. (


  • Leverage an always-on, easy-to-manage infrastructure that delivers a full-system, instant recovery to get back online in under 15 minutes. (
  • Bloomfire delivers content management and social. (


  • During Autoconfig - Context Value Management runs to make sure the context file is in good order. (
  • Personally, I blame the failure of Microsoft's WinFS on this root problem - file systems are inherently hierarchical - but that's a story for a different day. (
  • This course will cover basic hardware terminology, popular Internet technologies, email, online course skills, basic file management operations, word processing and spreadsheets, and may include other applications. (


  • Barcode Asset Tracking Software is an easy to management asset database system. (
  • Barcode Asset Tracking Software is an easy to management asset database system.Use barcode technology to tracking ,allocation and record assets.Faster and safety to tracking your IT asset,equipment,fixed assets inventory.Assets Life cycle analyse automation.Professional and powerful function software. (
  • Asset management software for Asset database management, tracking, and reporting. (
  • In this regard, Lepide Software Asset Management tool, which is an asset tracking software, helps. (
  • Lobby Track Employee Tracking Software is a new secure tracking, access control, and visitor management software system. (
  • Covers computer terminology, understanding how key components function, the guidelines for purchasing computer equipment or software, how the Internet works, system utilities and strategies that can help protect online users. (
  • Eloquent WebSuite is a cloud- and mobile-based enterprise knowledge management software that helps users manage intellectual resources in a centralized location. (


  • Secondary Indexes Let consider the student database and its clustering index and primary (only one will be applicable at a time). (
  • Most users at one time or another have dealt with hierarchical data in a SQL database and no doubt learned that the management of hierarchical data is not what a relational database is intended for. (
  • We believe it's time for a change in how you manage systems and information. (



  • A data management system in which a plurality of data each data comprising a set of three elements: a data name, a data body and a data retrieving keyword group whose content is not so described that the system is able to handle hierarchically and logically differentiating it and display areas of a data. (


  • Our unique solution to eJournal Management. (
  • The solution offers multiple features which include a ticketing system, self-service portal and. (
  • Lessons Learned Database from Secutor Solutions is a cloud-based knowledge and project management solution that helps businesses capture experiential knowledge from key projects, operations and events. (
  • NotoWare is a cloud-based knowledge management solution that helps disseminate work knowledge to employees. (


  • Faculty in many business disciplines try to prepare students for this data-oriented business environment by teaching some database and business intelligence concepts in their courses. (


  • For fundamental database concepts, the MEC provides databases that range from fairly simple in terms of the number of tables, relationships and data rows to fairly complex databases with large amounts of data. (


  • Lessonly is a cloud-based learning management system that allows users to build, share and track training materials and activity from a singular interface. (


  • 3. The method according to claim 1 , further comprising locking index and internal system pages across cluster nodes using a system-level page-cache lock (P-Lock), the system-level page-cache lock releasable prior to operation completion when the protected page consistency is guaranteed across the cluster. (


  • Employees can find the latest information related to work instructions and new job task details through the solution's database. (


  • Database Recovery And Security Introduction In this part we will introduce two main issues relating to database management systems. (


  • Maximize the performance and availability of key applications and databases while simplifying management -- for the best possible user experience. (


  • There's a reason why we're the #1 independent database and development vendor - we maximize SQL Server performance. (


  • This invention relates in general to database management systems performed by computers, and in particular to a method using virtual replicated tables in a cluster database management system. (


  • It can help with issue management, knowledge base maintenance and customer self service via a public portal or direct feedback surveys. (

distributed transaction

  • A Distributed Transaction Let us demonstrate the concept of a distributed transaction by considering a banking system having of three branches located in 3 different cities. (


  • In general, the more naturally the data you're storing maps to the paradigm (or NME) of the database, the better things will work. (


  • Further, the system creates another display area different in size from a display area for display of the retrieved data to display the same data as displayed on the display area for the retrieved data. (


  • 8:45 am] BILLING CODE 4510-26-P to provide public notice and an opportunity for comment prior to designating additional databases. (



  • We've helped hundreds of companies choose the right knowledge management system so they can centralize data and speed up their response times. (