Results 51 to 60 of about 4,333 (216)

Reactome graph database: Efficient access to complex pathway data. [PDF]

PLoS Computational Biology, 2018
Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data.
Antonio Fabregat, Florian Korninger, Guilherme Viteri, Konstantinos Sidiropoulos, Pablo Marin-Garcia, Peipei Ping, Guanming Wu, Lincoln Stein, Peter D'Eustachio, Henning Hermjakob   +9 more
doaj   +1 more source

Structurally Cascaded Physics‐Informed Graph Neural Networks for Mechanotransduction‐Aware Tumor Microenvironment Modeling

Applied Research, Volume 5, Issue 5, October 2026.
This study introduces a structurally cascaded physics‐informed graph neural network to model tumor microenvironments accurately. By enforcing a directional dependency from mechanical strain to biochemical secretion, the method eliminates unphysical artifacts and significantly improves predictive accuracy for precision healthcare applications.
Xinyuan Chen, Nurashikin Saaludin, Mohd Nizam Husen   +2 more
wiley   +1 more source

Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes

Frontiers in Artificial Intelligence, 2023
While the continuing decline in genotyping and sequencing costs has largely benefited plant research, some key species for meeting the challenges of agriculture remain mostly understudied.
Baptiste Imbert, Jonathan Kreplak, Raphaël-Gauthier Flores, Raphaël-Gauthier Flores, Grégoire Aubert, Judith Burstin, Nadim Tayeh   +6 more
doaj   +1 more source

A Hybrid Physics‐Informed Computational Framework for Adaptive Microrobotic Navigation and Causal Structure Discovery in Simulated Non‐Newtonian Environments

Applied Research, Volume 5, Issue 5, October 2026.
This study presents a hybrid AI framework that enables autonomous magnetic microrobots to navigate complex, non‐Newtonian tumor microenvironments. By integrating physics‐informed recurrent reinforcement learning with active persistent excitation, the system successfully infers hidden fluid rheology for precise targeted navigation and structural causal ...
Xinyuan Chen, Zanariah Abu Bakar, Mohd Nizam Husen   +2 more
wiley   +1 more source

Review of Insulation Ageing and Lifecycle Management for Oil‐Immersed Power Equipment: From Conventional Testing Analysis to Artificial Intelligence Method

High Voltage, Volume 11, Issue 5, Page 1303-1326, October 2026.
ABSTRACT Oil‐immersed power equipment is a critical component for energy transmission and secure operation of modern power grids. The ageing of oil–paper insulation under combined electrical, thermal and mechanical stresses directly affects equipment lifetime and system reliability. This paper presents a comprehensive review of the ageing behaviour and
Ruijin Liao, Jian Hao, Jing Xu, George Chen, Huanchao Cheng, Jiacong Li, Xize Dai   +6 more
wiley   +1 more source

The data structure of Neo4j.

, 2018
The data structure of Neo4j.
Xiaoran Li (656489), Chantao Li (5983262), Yuhui Ma (789963), Faming Gong (419345), Xiangbing Yuan (5983265), Wenjuan Gong (5983259)   +5 more
core   +1 more source

Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review

Systems Engineering, Volume 29, Issue 5, Page 975-1017, September 2026.
ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso, Sara Himmiche, Taiwo Tejumola, Yeshirun Alemayehu, Bertrand Rose   +4 more
wiley   +1 more source

Εξερεύνηση της βάσης δεδομένων γράφων 'Neo4j'

, 2020
Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2020.Στην εν λόγω διπλωματική εργασία παρουσιάζεται μία full-stack εφαρμογή πλοήγησης σε δεδομένα αποθηκευμένα στη βάση δεδομένων γράφων Neo4j. Γίνεται χρήση των τεχνολογιών/εργαλείων Neo4j, Java,
Πεντερίδου, Νικολίνα
core   +1 more source

From knowledge graph to topological data analysis: a novel framework to analyze gene regulatory networks for tomato–multi‐pathogen interactions

New Phytologist, Volume 251, Issue 5, Page 3039-3055, September 2026.
GENIAL framework. Summary of the main steps of the framework to infer and analyze GRN. Summary Tomato (Solanum lycopersicum), despite being the most important vegetable crop world‐wide, remains vulnerable to over 200 diseases caused by different pests.
Maxime Multari, Mathieu Carrière, Xavier Amorós‐Gabarrón, Krishna Kumar, Pratila Debnath, Alexina Damy, Ludo Andrianirina Mamisoa, Sebastian Lobentanzer, Julio Saez‐Rodriguez, Stéphanie Jaubert, Aurélien Dugourd, Justyna J. Olas, Silvia Bottini   +12 more
wiley   +1 more source

Prediction Model for Soybean Productivity [PDF]

Database Systems Journal
This paper presents a holistic approach to biological and agricultural research focused on the use of interconnected technologies in the context of climate change.
Ion GANEA
doaj