Results 31 to 40 of about 4,367,374 (298)
BMC Medical Informatics and Decision Making, 2017 Background The objective of this research is to compare the relational and non-relational (NoSQL) database systems approaches in order to store, recover, query and persist standardized medical information in the form of ISO/EN 13606 normalized Electronic
Ricardo Sánchez-de-Madariaga +6 more
doaj +1 more source
IEEE Access, 2020 In data handling, security and privacy are essential for database administrators and users that own their information. Information about security models or architectures was analyzed for databases that minimize Cyber Attacks. The problem is that security
Segundo Moises Toapanta +3 more
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A Comprehensive Spark-Based Layer for Converting Relational Databases to NoSQL
Big Data and Cognitive Computing, 2022 Currently, the continuous massive growth in the size, variety, and velocity of data is defined as big data. Relational databases have a limited ability to work with big data.
Manal A. Abdel-Fattah +2 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
The Impact of Electronic Journals on Document Delivery Services [PDF]
, 2006 Collection management policies of libraries were mainly shaped by in-house use of materials in the past. Yet the emergence of electronic journals and their availability through publishers’ or aggregators’ web sites is changing this practice considerably.
Ünal, Yurdagül, Tonta, Yaşar
core +1 more source
Scientific Data, 2023 The data paper is becoming a popular way for researchers to publish their research data. The growing numbers of data papers and journals hosting them have made them an important data source for understanding how research data is published and reused. One
Chenyue Jiao, Kai Li, Zhichao Fang
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Text Classification Using Document-Relational Graph Convolutional Networks
IEEE Access, 2022 Graph Convolutional Networks (GCNs) have received considerable attention in the field of artificial machine intelligence (AMI) and natural language processing research because they can build more sophisticated accompanying graph structures than ...
Chongyi Liu, Xiangyu Wang, Honglei Xu
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An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes
FEBS Letters, EarlyView.GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg +14 more
wiley +1 more source
Content enrichment with expressive document modelling to leverage the understanding of unstructured data [PDF]
MATEC Web of Conferences, 2019 Most information in an enterprise is in the form of unstructured data which is usually managed using a document database. One of the key challenges is to define a generalized data model for this unstructured data and any information extracted from it ...
Selvaraj Ganesh +3 more
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