Results 101 to 110 of about 12,024 (199)

Designing of Promising VEGFR‐2 Inhibitors by Using QSAR Modeling, Molecular Docking, and Molecular Dynamic Simulation: Implications Toward the Treatment of Cancer

Journal of Chemistry, Volume 2026, Issue 1, 2026.
Background The vascular endothelial growth factor receptor 2 (VEGFR‐2) is considered one of the most studied therapeutic targets for the treatment of various cancers. Among many heterocyclic compounds, the oxadiazole derivatives have been reported to exhibit significant anticancer activities. Therefore, exploring these derivatives against VEGFR‐2 could
Aisha A. Alsfouk, Pervaiz Ali Channar, Muhammad Sajjad Bilal, Syeda Abida Ejaz, Song J. A. Kim, Sohini Basu Roy   +5 more
wiley   +1 more source

Machine Learning-Based Interpretable Modeling for Subjective Emotional Dynamics Sensing Using Facial EMG

Sensors
Understanding the association between subjective emotional experiences and physiological signals is of practical and theoretical significance. Previous psychophysiological studies have shown a linear relationship between dynamic emotional valence ...
Naoya Kawamura, Wataru Sato, Koh Shimokawa, Tomohiro Fujita, Yasutomo Kawanishi   +4 more
doaj   +1 more source

Biochar‐Iron Oxide Composites for Adsorption of Chlorophenoxy Herbicides: Impact of Chlorine Substituents on Bath and Continuous Adsorption Performance

Advanced Sustainable Systems, Volume 9, Issue 12, December 2025.
Iron oxide‐impregnated biochar from sugarcane bagasse exhibits remarkable efficiency in removing 2,4‐dichlorophenoxyacetic acid and chlorophenoxyacetic acid, offering a sustainable option for water purification. The material retains high performance under real conditions while meeting safety criteria for irrigation use. Distinct structural features and
Thamiris Ferreira Souza, Raphael Longuinhos Monteiro Lobato, Luisa Cardoso Maia, Lavínia Nunes Louzada, Maria Elisa Avila Faria, Lucas Ferreira Fernandes, Leandro Vinícius Alves Gurgel, Gabriel Max Dias Ferreira, Jenaina Ribeiro‐Soares, Guilherme Max Dias Ferreira   +9 more
wiley   +1 more source

Training Input-Output Recurrent Neural Networks through Spectral Methods [PDF]

, 2016
We consider the problem of training input-output recurrent neural networks (RNN) for sequence labeling tasks. We propose a novel spectral approach for learning the network parameters.
Anandkumar, Anima, Sedghi, Hanie
core   +2 more sources

Water Quality Index Estimation Model for Aquaculture System Using Artificial Neural Network [PDF]

Journal of Advances in Computer Engineering and Technology, 2019
Water Quality plays an important role in attaining a sustainable aquaculture system, its cumulative effect can make or mar the entire system. The amount of dissolved oxygen (DO) alongside other parameters such as temperature, pH, alkalinity and ...
Taliha Folorunso, Musa Aibinu, Jonathan Kolo, Suleiman Sadiku, Abdullahi Orire   +4 more
doaj  

New Models Used to Determine the Dioxins Total Amount and Toxicity (TEQ) in Atmospheric Emissions from Thermal Processes

Energies, 2019
In order to reduce the calculation effort during the simulation of the emission of polychlorinated dibenzo-p-dioxins and furans (PCDD/F) during municipal solid waste incineration, minimizing the number of simulated components is mandatory.
Damià Palmer, Josep O. Pou, L. Gonzalez-Sabaté, Jordi Díaz-Ferrero, Juan A. Conesa, Nuria Ortuño   +5 more
doaj   +1 more source

Multi‐Omics‐Augmented GWAS for Crop Improvement: From Mechanisms to Breeding

Modern Agriculture, Volume 3, Issue 2, December 2025.
This review presents an integrated framework that synergises multi‐omics with GWAS and machine learning to decode the genetic basis of complex agronomic traits, bridging biological discovery to precision breeding for climate‐resilient crops. ABSTRACT Global food security demands innovative strategies to enhance crop resilience and productivity amidst ...
Naimatullah Mangi, Qianli Zhao, Mengfan Li, Chunyang Li, Lulu Yan, Luyao Kong, Aizhi Qin, Yaping Zhou, Hao Liu, Yinpeng Zhang, Mengyu Liao, Jiani Long, Mengeng Zhou, Xiaoli Fan, Baozhen Wang, Wenxuan Kang, Zhixin Liu, Xuwu Sun   +17 more
wiley   +1 more source

Combined Machine Learning and Molecular Modelling Workflow for the Recognition of Potentially Novel Fungicides

Molecules, 2020
Novel machine learning and molecular modelling filtering procedures for drug repurposing have been carried out for the recognition of the novel fungicide targets of Cyp51 and Erg2.
Ozren Jović, Tomislav Šmuc
doaj   +1 more source

Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbean

The Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract Mungbean is an important sub‐tropical legume crop grown across Asia, Africa, and Australia. Yield improvement is crucial for expanding production, but phenotyping important traits across diverse environments using current approaches is challenging, limiting the scale and complexity of information captured. High‐throughput phenotyping platforms
Shanice Van Haeften, Daniel Smith, Hannah Robinson, Caitlin Dudley, Yichen Kang, Colin A. Douglas, Lee T. Hickey, Andries Potgieter, Scott Chapman, Millicent R. Smith   +9 more
wiley   +1 more source

Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems [PDF]

, 2014
In this paper we review basic and emerging models and associated algorithms for large-scale tensor networks, especially Tensor Train (TT) decompositions using novel mathematical and graphical representations. We discus the concept of tensorization (i.e.,
Cichocki, Andrzej
core