109 results found

Lara Freitas Matos Costa, Heloísa Cristina Barbosa de Santana, Agostinho de Sousa Machado Júnior, Juliana Felipe da Silva Souza, Rúbia Rayanne Souto Braz, Maria das Graças Rodrigues de Araujo, Marcelo Renato Guerino

Background Dyspareunia is characterized by pain occurring before, during, or after sexual intercourse and has a multifactorial etiology involving biological, hormonal, and psychosocial factors. It can...

BMC Women's Health 2026-04-20 rs-9347276
dyspareunia transcutaneous electrical nerve stimulation pelvic floor sexual dysfunction physical therapy modalities

Vasiliki Kinigopoulou, Christos Mattas, Ioannis Vrouhakis, Evangelos Hatzigiannakis

This study investigates the hydrochemical characteristics and controlling factors of water quality along the Axios River (Northern Greece) using a combination of statistical methods and artificial neu...

Environmental Monitoring and Assessment 2026-04-20 rs-9232782
Hydrochemistry Water quality modelling Electrical conductivity Artificial neural networks Multivariate statistical analysis Feature selection Machine learning River systems

Zebo Alloberganova, Saidmurod Baboev, M. F. Sultonov, Yulduz Matyakubova, Intizor Ismailova, D.R Annamuratova, Nazokat Yadgarova, Abdurauf A. Dolimov

In this study, the morpho-biological traits and yield performance of 13 wheat varieties originating from breeding programs of four Central Asian countries (Uzbekistan, Tajikistan, Kyrgyzstan, and Kaza...

Scientific Reports 2026-04-20 rs-8853561
Wheat yield leaf area spike length correlation analysis Central Asia

Ludmilla Ferreira Justino, David Henriques Matta, Marcos Vinício Cesario dos Santos, Luís Fernando Stone, Daniel Castro, Santiago Vianna, Alexandre Bryan Heinemann

The El Niño-Southern Oscillation (ENSO) is a major driver of climate and agricultural productivity variability, as those events modulate significant fraction of rainfall and air temperature interannua...

Theoretical and Applied Climatology 2026-04-20 rs-9314260
Random Forest Climate variability Predictive modeling Functional data analysis

Byeongsoo

Background. Flux balance analysis (FBA) is widely used to simulate gene essentiality in genome-scale metabolic models (GEMs), and several studies have proposed using FBA-based combination simulations ...

Research Square 2026-04-20 rs-9398278
flux balance analysis antibiotic synergy linear programming machine learning genome-scale metabolic model drug combination ESKAPE Bliss independence

Jane Alty, Gianluca Amprimo, Jung Hwan Shin, Max Wuehr, Michal Novotny, Helga Haberfehlner, Claudia Ferraris, Renjie Li, Marcelo Merello, Marina de Koning-Tijssen, Samuel Relton, David Wong, Johannes Taeger, Andreas Zwergal, Sebastian Walther, Jochen Weishaupt, Karl Georg Häusler, Jan Rusz, Babak Taati, Ryan Roemmich, Martin McKeown, Anoopum S. Gupta, Maximilian U. Friedrich

Background: Neurological motor assessment relies on semi-quantitative, scale-based measures with inherent clinimetric limitations that disproportionately affect clinical trials aimed at early disease ...

Research Square 2026-04-20 rs-9437116
Neurology Digital Biomarkers Computer Vision Movement Analysis Videography

Yibo Yang, Honglin Gao, Gaoxi Xiao, Shahrul Nazmi Sannusi, Ammar Redza Ahmad Rizal

As virtual reality technologies become integrated into sports broadcasting, they are reshaping how fans engage with live events. This study uses BERTopic, an unsupervised deep learning topic modeling ...

Scientific Reports 2026-04-20 rs-7901439
NBA virtual reality fan engagement BERTopic text mining topic modeling

Sophie JULLIAND, Charalambos PAPAXANTHIS, Laure CUNNAC, Anne MOCK, Lucie LORDON, Davy LAROCHE, Jeremie GAVEAU

Background: Post-stroke spasticity frequently emerges during the early subacute phase and may interfere with motor recovery. Local muscle vibration (LMV) has shown potential to reduce spasticity in ch...

Journal of NeuroEngineering and Rehabilitation 2026-04-20 rs-9310646
Stroke rehabilitation Spasticity prevention Upper-limb recovery Local muscle vibration Early intervention Randomized controlled trial Spinal excitability

Damien F. G. Minenna, Guillaume Dilasser, Robin Penavaire, Valerio Calvelli, Thibault de Chabannes, Thibault Lecrevisse, Thomas Achard, Jason Le Coz, Christophe Berriaud, Benoît Bolzon, Antomne Caunes, Phillipe Fazilleau, Hélène Felice, Clément Genot, Antoine Guinet, Nikola Jerance, François-Paul Juster, Thibaut Lemercier, Gilles Lenoir, Clément Lorin, Yann Perron, Camille Pucheu-Plante, Étienne Rochepault, Damien Simon, Francesco Stacchi, Michel Segreti, Vincent Trauchessec, Olivier Tuske, Hajar Zgour

Superconducting magnets for particle accelerators are particularly challenging to design because they involve a large number of coupled physical phenomena and the management of complex datasets. Artif...

EPJ Research Infrastructures 2026-04-20 rs-9367074
Superconducting Magnets Artificial Intelligence Machine Learning Evolutionary Computation Topology Optimisation Quench Anomaly detection
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