Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...

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Cross-sectional network analysis was employed to explore the complex relationships between depression, anxiety, insomnia, somatic symptoms, childhood trauma, self-esteem, social support, and emotional ...

Summary is AI generated, newsroom reviewed. 50% of Pi Coin holders believe it may collapse in 2026 due to liquidity, token unlocks, and slow Mainnet rollout. Pi Coin currently trades at $0.344, down ...

Abstract: Bayesian Networks are a well-established approach to solving classification problems in practical applications. Preparing to use a Bayesian Network Classifier requires parameterization of ...

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The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

ABSTRACT: The present study aimed to examine the impact of emotion regulation on depression symptoms, with a particular focus on the mediating roles of social anxiety and loneliness among Chinese ...

Abstract: Weather forecasting has never been an easy task-owing to the complex and dynamic nature of atmospheric systems. Conventional techniques of weather forecast mainly involve deterministic ...

Single-cell transcriptomic architecture for deciphering the complexity of tumor microenvironment in ampulla of Vater carcinoma. Advancing treatment outcomes for peritoneal surface malignancies in low- ...