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...
Stroke remains a major global health burden and is a frequent and severe complication among patients with coronary heart disease (CHD). Early identification of individuals at high risk is essential fo...
The exponential growth in mobile data traffic necessitates revolutionary approaches in optical backhaul technology. This paper introduces a transformative 400G Dual-Polarisation QPSK optical backhaul ...
Background/purpose : Interstitial lung disease (ILD) is an important factor determining the course of systemic sclerosis (SSc). Quantitative high-resolution computed tomography (HRCT) radiomics can ai...
Objective IgA vasculitis nephritis (IgAVN) plays a decisive role in the long-term prognosis of pediatric IgA vasculitis (IgAV), yet the temporal lag of routine urinalysis frequently hinders early and ...
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...
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...
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 ...
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