149 results found

1. Bıradost Boran ŞİMŞEK, Hatice ŞAHİN, İsmail YILDIZ, Ali EKŞİ

Background The 2023 Kahramanmaraş Earthquakes placed an immense psychosocial burden on healthcare workers. This study explores the experiences of professionals navigating a profound "dual role" parado...

Research Square 2026-04-21 rs-9403252
Disaster management Healthcare workers Psychosocial resilience Qualitative study Role conflict Socio-ecological model

Sazzad Bin Bashar Polock, Michael Starewich, Swastika Barua, Anannya Ghosh Tusti, Shriyank Somvanshi, Tausif Islam Chowdhury, Nawaf Alnawmasi, Subasish Das

This study investigates the behavioral, environmental, and roadway-related determinants of injury severity in crashes involving child pedestrians (aged under 15), utilizing six years (2017–2022) of cr...

Scientific Reports 2026-04-21 rs-9306536
Child pedestrian injury severity random parameter unobserved heterogeneity temporal instability

Mel George, Leon Clarke, Jihoon Min, Shonali Pachauri, Anand Patwardhan, Narasimha D Rao, Haewon McJeon

Climate mitigation pathways impose uneven burdens across income groups, yet analyses typically focus on revenue recycling rather than on how pathway architecture shapes distributional outcomes. We exa...

Research Square 2026-04-21 rs-9442656
climate mitigation energy justice distributional impacts integrated assessment models demand-side mitigation effort-sharing

Joost van Dalen, Joseph Peller, Reindert Wieger Nauta

Seaweed cultivation faces scalability challenges due to labor-intensive biomass monitoring. Here, we demonstrate a low cost RGB imaging system for Ulva spp biomass estimation (0.5-5.0 g L−1  ) in land...

Journal of Applied Phycology 2026-04-21 rs-9279578
Biomass estimation Ulva spp macroalgae machine vision Segment Anything Model (SAM)

Xinyue Han, Bin Pang, Wei Yao

In image processing, denoising can provide high-quality data for subsequent processing. Current denoising methods can be categorized into three types: learningbased methods, model-based methods, and f...

Journal of Mathematical Imaging and Vision 2026-04-21 rs-8982634
Fuzzy rough set Noise removal Salt-and-pepper noise

Essia Ben Alaia, Slim Dhahri, Mourad Elloumi, Afrah Alanazi, Sahar Almenwer, Omar Naifar

This paper presents a staged deep-learning framework for robust modeling of noisy multi-input multi-output (MIMO) Hammerstein systems under correlated measurement disturbances. The proposed architectu...

Scientific Reports 2026-04-21 rs-9351439
MIMO Hammerstein systems GRU robust deep modeling correlated measurement noise staged learning residual-noise modeling

Rongkun Gao, Yuqi Song, Hyung Jong Na, Hyungjoon Kim

Forecasting the consumer price index (CPI) is essential for inflation monitoring and policy design, yet existing studies often rely on limited economic variables and single-country settings. This stud...

Scientific Reports 2026-04-21 rs-9239246
Consumer Price Index (CPI) Forecasting Applied Hybrid Deep Learning Machine Learning and Sequential Models Multidimensional Determinants Predictive Analytics

Jian Yang, Xin Yang, Lin Wang, Quanzhi Wei, Jingyi Jiao, Jincheng Fang, Ju Wang, Pengxiao Yang, Fan Li

Background In the post-antiretroviral therapy (ART) era, HIV care has shifted towards maximizing multidimensional Health-Related Quality of Life (HRQoL), yet a "clinical-social disconnect" persists am...

International Journal for Equity in Health 2026-04-21 rs-9339364
HIV/AIDS Health Insurance Mental Well-being Social Determinants of Health Structural Equation Modeling Machine Learning

Jiayi Zhao, Yao Tong, Yunchao Huang, Chao Zhang, Hongjiang Zhang, Zhenghong Yang, Fang Li, Yang Luo, Dinglin Zhang

Background The incidence and mortality rates of lung cancer (LC) are extremely high and continue to rise. Early diagnosis combined with timely intervention can effectively reduce mortality in LC patie...

European Journal of Medical Research 2026-04-21 rs-9145489
Lung cancer machine learning stacking ensemble models hematological indicators.

Shukhrat Djabbarov, Abdusaid Yuldashov, Bakhrom Abdullaev, Irina Soboleva, Шерзод Файзибаев, Nargiza Yuldashova, Nassim Rustamov

The safe operation of heavy freight trains on steep mountain railway sections depends on effective control of longitudinal in-train forces during start-up and traction transitions. This study investig...

Scientific Reports 2026-04-21 rs-9364175
longitudinal train dynamics coupler force freight train steep gradient field validation MSC Adams
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