NTT Database, KEELE Database and Noise Database
Dr. Nargis Parvin · Zenodo (CERN European Organization for Nuclear Research) · 2025
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About 10,000 papers for “Database”
Dr. Nargis Parvin · Zenodo (CERN European Organization for Nuclear Research) · 2025
Cited by 0Open access
Dr. Nargis Parvin · Zenodo (CERN European Organization for Nuclear Research) · 2025
Cited by 0Open access
Haja N Kadarmideen · 2013
FunctSNP: an R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databases
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Biomodels Database An Enhanced, Chen Li, Marco Donizelli et al. · 2013
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TONI, Michela · Institutional Research Information System University of Ferrara (University of Ferrara) · 2020
Nel testo si riflette sul tema della conoscenza nell'ambito dell'architettura e del design, di fondamentale importanza per ricercatori e altri operatori del settore, che devono essere in condizioni di attuare sintesi complesse per rispondere alle molteplici esigenze di persone e territori. \nSi dibatte sulla differenza tra informazione tecnica e conoscenza; sulla difficoltà di comprendere persino quale sia l'oggetto da "conoscere", come accade, ad esempio, quando ci si trova di fronte a prestazioni e caratteristiche che possono notevolmente differenziarsi a seguito di processi di customizzazione. Si introduce l'idea che anche l'informazione sulla produzione edilizia debba tenere conto di processi che la rendono in qualche modo "dinamica” (in relazione a livelli di qualità che possono cambiare in funzione di modalità di montaggio o variazioni sulla presenza o meno di determinati componenti in una stratificazione o sulla loro sequenza). \nRispetto a questo, nel testo ci si interroga sulla conoscenza di base; su come si possa acquisirla e trasmetterla ad altri; sull'importanza di elaborare un metodo per orientarsi. Si ragiona sull'importanza di costruire strumenti adatti a favorire il passaggio degli operatori del settore a soggetti attivi di un processo di conoscenza, abbandonando il ruolo di “utilizzatori” passivi di informazioni tecniche: in tal senso, ci si richiama a studi specifici sulla “filiera della conoscenza” elaborati in altri settori disciplinari, che si ritiene importanti da trasferire nel settore in oggetto. \nNel testo ci si sofferma sulla contrapposizione tra “filiera creativa”, caratterizzata dall'interscambio delle conoscenze, utile per sviluppare innovazione, e “sistema della conoscenza chiuso”, che tende a consolidarsi quando il livello di specializzazione è particolarmente avanzato e il know-how si concentra all'interno delle aziende, mettendo in luce i rischi in termini di limitazioni di potenzialità e lavoro. Il testo si conclude con un'ultima riflessione sul ruolo del digitale al fine di favorire condizioni per interscambio di conoscenze anche in contesti in cui è assente una cultura in tal senso.
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Tomás Norambuena, Francisco Melo · 2013
The Protein-DNA Interface database (PDIdb) is a repository containing relevant structural information of Protein-DNA complexes solved by X-ray crystallography and available at the Protein Data Bank. The database includes a simple functional classification of the protein-DNA complexes that consists of three hierarchical levels: Class, Type and Subtype. This classification has been defined and manually curated by humans based on the information gathered from several sources that include PDB, PubMed, CATH, SCOP and COPS. The current version of the database contains only structures with resolution of 2.5 Å or higher, accounting for a total of 922 entries. The major aim of this database is to contribute to the understanding of the main rules that underlie the molecular recognition process between DNA and proteins. To this end, the database is focused on each specific atomic interface rather than on the separated binding partners. Therefore, each entry in this database consists of a single and independent protein-DNA interface. We hope that PDIdb will be useful to many researchers working in fields such as the prediction of transcription factor binding sites in DNA, the study of specificity determinants that mediate enzyme recognition events, engineering and design of new DNA binding proteins with distinct binding specificity and affinity, among others. Finally, due to its friendly and easy-to-use web interface, we hope that PDIdb will also serve educational and teaching purposes. Background
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Mital Potey, Megha Digrase, Gaurav Deshmukh et al. · 2015
Database are growing very fast and becoming more complex in the volume (terabyte to petabyte), variety (structured, un-structured and hybrid), and velocity (high speed in growth). Management of database (BigData, so nomenclature) has become the global challenge. The data collection is currently managed and exploited mostly by using conventional data management tools such as classic relational database management systems (RDBMS) or conventional search engines. These systems and tools have been observed to be inefficient and incapable to handle the data in most of the cases e.g.: social networking sites. Efforts are being made to come up with some utility support in order to overcome the observed limitations. The research study was conducted to develop a Cloud-based Utility. It was aimed to convert structural database, SQL to un-structural database, NoSQL [11] systematically and sufficiently. The outcome of the study revealed that the database management becomes considerably scalable, flexible and efficient when traditional RDBMS are complimented by specifically designed rich set of alternative DBMS such as NoSQL, NewSQL based systems. The database conversion shall help in Database analysis and migration from traditional database to today’s BigData.
Cited by 11
Denise Gergetz · 2013
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Aderemi, Sanusi Taofik · Theseus (Ammattikorkeakoulujen) · 2012
Recently most organizations have developed so much that the amount of data flowing through them has become too large to be handled manually, and this has led to development in data storage, processor and networking technologies to enable them handle this information in digital form and making it possible to access the data from any location. With this development came the need to protect the data against unwanted access. \n \nDatabase system and database security is the concept that gives an insight into the development of database and also the importance of the security aspect. This technology gives us the possibility to explore various disciplines in this field such as database architecture, data/database administrator and also database security and the impact they have had and still having to ensure that users have exactly what they need to meet their professional needs. \n \nThe aim of the thesis is to give an insight into the database concept, its components, the architectural part, and also data manipulation and access methods. Finally, the security aspect is about the various methods used to prevent unwanted access to data to ensure that the integrity and consistency of the data is maintained. It also involved the use of tools such as the Wamp server to show us the possible actions that could be performed on data stored in a database, and how they can be accessed or manipulated.
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Colleen Duchon · 2014
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Jennifer Hiltner · 2019
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Douglas Wayman · Journal of Electronic Resources Librarianship · 2023
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Huwida Said, Mário Guimarães, Zakaria Maamar et al. · 2009
This paper focuses on the emerging importance of database and application security, textbooks and other supplementary materials to teach these topics and where to place these topics in a curriculum. The paper emphasizes 1) the growing concerns of database technologies and database applications, 2) existing books and supporting materials, and 3) and Zayed University's approach to teaching these topics. At Zayed, we incorporate database and database application security in two different courses.
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Daniel Closa, Alex Gardiner, Falk Giemsa et al. · 2009
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Joanne Evanoff · 2013
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Eugene Wu · arXiv (Cornell University) · 2024
We draw a connection between data modeling and visualization, namely that a visualization specification defines a mapping from database constraints to visual representations of those constraints. Using this formalism, we show how many visualization design decisions are, in fact, data modeling choices and extend data visualization from single-dataset visualizations to database visualization
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Jane Scales · 2019
The Cleary U. Library facilitates access to almost 30 (mostly academic) databases. Which one should you use? How can you get the most out of using the databases? This guide will help you answer those questions!
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Stn Contact · 2010
STN is operated jointly by CAS and FIZ Karlsruhe worldwide and is represented in Japan by JAICI. Overview Your connection to sci-tech and patent information For nearly 25 years, STN ® has provided global access to an integrated network of the most important and comprehensive sci-tech and patent databases from the world’s most respected producers. With STN, you can find precisely what you need to answer business-critical questions, whether it’s the answer to a broad research question or information about a single molecule. Use STN to: With STN, you can find precisely what you need to answer businesscritical questions. Investigate new research opportunities Assess patentability and freedom-to-operate Track competitive intelligence Search for chemical substance information Support strategic business planning Wide subject coverage STN provides access to the optimal versions of CAS-produced databases, including CAplus SM and CAS REGISTRY SM, in terms of content, timeliness, and updating. As a tightly integrated system, STN ties together published research, journal literature, patents, structures, stereochemistry, trade names, physical properties, sequences, and other data. With STN, you can find information on a wide range of disciplines within natural, social, and applied sciences and mathematics, including:
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National Cancer Institute · Definitions · 2020
An information set with a regular structure.Although
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Lucy Bowes, Jono Taylor, David K. Humphreys et al. · OSF Preprints (OSF Preprints) · 2018
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