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Introduction Hand, foot and mouth disease (HFMD) is influenced by meteorological and air pollution factors. However, few studies have evaluated their joint and interactive effects under real-world multi-exposure conditio...

BackgroundPatients with differentiated thyroid cancer (DTC) undergoing radioactive iodine (RAI) therapy experience concurrent physical and psychological symptoms, yet the dynamic interplay among these symptoms remains in...

Abstract Accurate classification of phonocardiogram (PCG) signals is vital for the early detection of cardiovascular diseases (CVDs), a leading cause of global mortality. However, conventional machine learning and deep l...

Subsurface temperature uncertainty represents a major risk in geothermal drilling, particularly in volcanic systems where permeability, lithology, and fluid circulation create highly heterogeneous thermal regimes. This s...

Abstract Objective By using molecular network technology to analyze the transmission characteristics of the CRF55_01B strain in Yunnan Province, we aimed to identify high-risk transmitters, trace the origin time, locatio...

Background Individuals with alcohol use disorder (AUD) often experience symptoms such as anxiety, depression, and decreased sleep quality. Although these are not diagnostic criteria, they may increase dependence risk and...

Abstract Purpose Eating disorders (EDs) among women of childbearing age (WCBA; defined by the World Health Organization as women aged 15–49 years) have emerged as a significant public health concern on a global scale. ...

Abstract Background Postpartum depression and anxiety are common and burdensome. Physical activity (PA) is a scalable intervention, yet the comparative effectiveness of PA modalities and optimal dosing in the postpartum ...

This study introduces an enhanced generalized progressive Type-II hybrid censoring scheme incorporating binomial random removals, which provides a more realistic alternative to fixed removal patterns commonly assumed in ...

Abstract Introduction Quantitative bias analysis (QBA) methods have been developed, with growing applications to epidemiological studies. Bayesian QBA (BQBA) methods may be superior in effectively using evidence-based pr...

Abstract Background Celiac disease (CD) is a systemic autoimmune disorder frequently associated with micronutrient deficiencies and extraintestinal manifestations, including neurological complications. Restless Legs Synd...

PURPOSE: To describe associations between pregnancy rates in adolescence and socioeconomic and social responsibility indicators in the municipalities of the State of Minas Gerais, Southeast of Brazil, in the year of 2010...

Abstract Background Epidemiological associations between multiple metals exposure and hypertension or blood pressure remain limited and inconclusive, especially for essential metals. This investigation intended to examin...

IntroductionMultiple sclerosis (MS) shows marked female predominance, particularly among women of childbearing age (WCBA, 15–49 years), yet their specific disease burden remains under characterized. Using Global Burden...

Background: Exposure to individual neonicotinoids (NNIs) suggestively correlates with the type 2 diabetes mellitus (T2DM) risk in animals. However, existing systematic epidemiological investigations remain scarce and lac...

BackgroundType 2 diabetes (T2D) is a heterogeneous disease for which (1) disease-causing pathways are incompletely understood and (2) subclassification may improve patient management. Unlike other biomarkers, germline ge...

Abstract This study presents a Quantum-Enhanced Firefly Algorithm (QFA)-based multi-level image annotation framework that integrates advanced Otsu thresholding, region-based feature extraction, and Bayesian multi-label c...

If radiocarbon measurements are to be used at all for chronological purposes, we have to use statistical methods for calibration. The most widely used method of calibration can be seen as a simple application of Bayesian...

Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the book focuses on modern computat...

Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical system. Moreover, it is typica...

BACKGROUND: The evolutionary analysis of molecular sequence variation is a statistical enterprise. This is reflected in the increased use of probabilistic models for phylogenetic inference, multiple sequence alignment, a...