Results 41 to 50 of about 2,508,257 (346)

Trends and Challenges of Databases

International Journal of Engineering and Management Sciences, 2018
The database management, using relational databases, is part of curriculum in the Hungarian high schools. The aim of this paper is to present how we can show for students the challenges facing data processing, data retrieval, beyond the relational ...
Mária Princz
doaj   +1 more source

Leveraging 3D Molecular Spatial Visual Information and Multi‐Perspective Representations for Drug Discovery

Advanced Science, EarlyView.
A deep learning framework called MolVisGNN is proposed to fuse 3D molecular visual information of drugs with multi‐source features, which proves the importance of 3D molecular visual information of drugs and the advancedness of this model in the field of drug discovery, and provides a reference for how to more comprehensively express small molecule ...
Zimai Zhang, Xi Zhou, Yujie Qi, Xiaobo Zhu, Xun Deng, Feng Tan, Yuan Huang, Lun Hu, Zhuhong You, Pengwei Hu   +9 more
wiley   +1 more source

Comparative analysis of the performance of relational and non-relational databases in applications implemented in C#

Journal of Computer Sciences Institute
The article focuses on comparing relational and non-relational databases using applications written in C#. The aim of the study is to understand in which cases relational databases are preferred and when it is worth considering the use of non-relational
Patryk Baliński, Łukasz Chudy, Maria Skublewska-Paszkowska   +2 more
doaj   +1 more source

Designing role-based view for object-relational databases [PDF]

, 2003
In a federated database system, a view mechanism is crucial since it is used to define exportable subsets of data ; to perform a virtual restructuring d ataset; and to construct the integrated schema.
Wang, Ling
core  

A Unified Metamodel for NoSQL and Relational Databases [PDF]

Information Systems, 2021
Carlos Javier Fernández Candel, Diego Sevilla Ruiz, J. Molina   +2 more
semanticscholar   +1 more source

Knowledge Graph for Methane Selective Conversion: Revisiting and Predicting Product Selectivity and Methane Conversion

Advanced Science, EarlyView.
With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu, Gaoyang Li, Bohan Wang, Jiawei Bian, Hui Pan, Yulin Min, Guodong Qi, Jun Xu, Feng Deng, Feng Ju, Hao Ling, Zhendong Wang   +11 more
wiley   +1 more source

Modeling Spatial Data within Object Relational-Databases [PDF]

Database Systems Journal, 2011
Spatial data can refer to elements that help place a certain object in a certain area. These elements are latitude, longitude, points, geometric figures represented by points, etc.
Iuliana BOTHA, Anda VELICANU, Adela BARA
doaj  

Heterogeneous Relational Databases for a Grid-enabled Analysis Environment [PDF]

, 2005
Grid based systems require a database access mechanism that can provide seamless homogeneous access to the requested data through a virtual data access system, i.e.
Ali, Arshad, Anjum, Ashiq, Azim, Tahir, Bunn, Julian, Iqbal, Saima, McClatchey, Richard, Newman, Harvey, Shah, S. Yousaf, Solomonides, Tony, Steenberg, Conrad, Thomas, Michael, van Lingen, Frank, Willers, Ian   +12 more
core   +2 more sources

Constructing an Interactive Natural Language Interface for Relational Databases

Proceedings of the VLDB Endowment, 2014
Natural language has been the holy grail of query interface designers, but has generally been considered too hard to work with, except in limited specific circumstances. In this paper, we describe the architecture of an interactive natural language query
Fei Li, H. V. Jagadish
semanticscholar   +1 more source

Efficiency Recalibrates Social‐Emotional Trade‐Offs Behind Partner Choice in Direct Reciprocity through Intention‐Specific Neural Bases

Advanced Science, EarlyView.
Bridging the gap between two crucial mechanisms of cooperation, namely direct reciprocity and partner choice, this study reveals the neurocognitive bases underlying how individuals prioritize reciprocal partner when receiving help from multiple benefactors with diverse intentions and reciprocal efficiency. The efficiency‐driven reciprocal decisions are
Rui Liao, Xintong Li, Xuqi Liu, Yu Nan, Xiaolin Zhou, Xiaoxue Gao   +5 more
wiley   +1 more source