149 results found

Guangpeng Sun, Shaojuan Ma, Chang Xu

Existing rolling bearing fault diagnosis methods often face challenges of high computational complexity and limited multimodal fusion efficiency, particularly in multimodal scenarios. To address these...

The Journal of Supercomputing 2026-04-22 rs-9308459
Bearing fault diagnosis Mamba gating Multimodal fusion Time-frequency analysis Chaos enhancement State space models

Li Li, Lei Zhao, Zubing Zhang, Qinson Zhang, Sicheng Li

Background To estimate the cost-effectiveness of sterile cold spray for improving 12-month repeat donation among first-time whole blood donors aged 18–25 years in mainland China from a blood-centre pe...

BMC Health Services Research 2026-04-22 rs-9074179
blood donation donor retention cost-effectiveness Markov model time-driven activity-based costing

Heung Soap Choi

This study quantitatively analyzes the dynamic acceleration performance of medium to-large agricultural tractors (60HP and 75HP classes) and validates the reliability of a system-level simulation mode...

Research Square 2026-04-22 rs-9446430
Agricultural Tractor Dynamic Simulation Acceleration Performance Machine Learning LSTM Bias Correction Model Validation DigitalTwin

Anurag Surapaneni, Daniel Mira, Michael Mueller

The Darmstadt Multi-Regime Burner (MRB) is modelled using a multi-modal manifold-based combustion model with Large Eddy Simulation (LES). The MRB26b operating condition is chosen due to its multi-regi...

Flow, Turbulence and Combustion 2026-04-22 rs-9280845
manifold model multi-regime combustion Large Eddy Simulation (LES) Multi-Regime Burner (MRB)

Rezo Getsadze, Qiziyi Cao, Shivam Kumar, Vivek M. Sheraton

Type 2 Diabetes (T2D) is a heterogeneous metabolic disorder driven by the interplay between endocrine stress and glucose regulation. We adapt an 18-variable ordinary differential equation (ODE) model ...

Research Square 2026-04-22 rs-9475176
Mechanistic Modeling HPA Axis Type 2 Diabetes UK Biobank Individualized Calibration

Mustofa Ali Said

The strength prediction of adhesive-bonded single lap joints (SLJs) is essential for reliable joint design. However, due to the non-linear interactions between geometrical parameters and material prop...

Research Square 2026-04-22 rs-9478810
Adhesive bonding Single lap joint GFRP composites Taguchi method MLR ANN Failure load prediction

Nadi Maroua

As mental health disorders continue to rise globally and access to specialised care remains a persistent challenge, AI-powered conversational agents have emerged as a credible avenue for early screeni...

Research Square 2026-04-22 rs-9482601
Artificial Intelligence mental health early detection mental disorders Systematic Review Machine Learning conversational agent ethics NLP

Zhonglin Liu, Jussi Keppo, Murari Mandal, Hong Ming Tan

Large language models require high-quality human feedback for alignment and fine-tuning, yet platforms face the fundamental challenge of incentivizing valuable contributions while screening out potent...

Research Square 2026-04-22 rs-8771074
Mechanism design Large language models User feedback Quality Control Platform economics

Paolo Melidoro, Steven E. Williams, Gregory Y.H Lip, Magdalena Klis, Oleg Aslanidi, Adelaide Vecchi

Atrial fibrillation (AF) is the most common cardiac arrhythmia and increases stroke risk and reduces quality of life. Left atrial catheter ablation (LACA) restores sinus rhythm by targeting abnormal e...

Research Square 2026-04-22 rs-8745185

Jumadil Awal

Regulatory fatigue the experience of accumulating exhaustion during sustained goal pursuit is a pervasive phenomenon that remains insufficiently explained by existing resource based and value-based mo...

Research Square 2026-04-22 rs-9448460
regulatory fatigue self-regulation dynamic alignment DIAT HaE computational modeling
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