Results 61 to 70 of about 107,361 (305)
The Advantage of NoSQL Databases over SQL Databases [PDF]
This article highlights the advantages of NoSQL databases compared to traditional SQL (relational) databases. It argues that the database concept is often implicitly tied to relational models, overlooking non-relational databases’ potential in Big Data ...
Mario-Tudor CHIRIAC
doaj
In the current context of emerging several types of database systems (relational and non-relational), choosing the type and database system for storing large amounts of data in today’s big data applications has become an important challenge.
Cornelia A. Győrödi +5 more
doaj +1 more source
Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +1 more source
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Perbandingan Relational Database dan Non-Relational Database dalam Pengembangan Smart Tourism
The smart tourism application that is built cannot be separated from the role of the database. The more data stored in a database system, it will affect the speed of access of the information system that uses it. This study will test the performance of query response time between two types of databases with 92 data records of tourist attractions, 106 ...
Mutmainnah A +2 more
openaire +1 more source
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Dyadic Interdependence in Non-spousal Caregiving Dyads’ Wellbeing: A Systematic Review
Caregiving dyads (i.e., an informal caregiver and a care recipient) work as an interdependent emotional system, whereby it is assumed that what happens to one member of the dyad essentially happens to the other.
Giulia Ferraris +3 more
doaj +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Comparison of relational and non-relational databases on the example of the clinic's IT system
Cilj ovog završnog rada je opisati osnovne karakteristike relacijskih i nerelacijskih baza podataka i glavne razlike među njima. Osim samog opisa razlika, rad se sastoji i od praktičnog dijela u kojem se uspoređuju performanse relacijskih i nerelacijskih
Bačelić, Patricija
core +2 more sources
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source

