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...
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...
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...
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...
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...
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...
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...
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...
A comparative study on the accuracy of different machine learning methods for lung cancer prediction
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...
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...
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