Effective depression detection and interpretation: Integrating machine learning, deep learning, language models, and explainable AI

Depression is an increasingly prevalent issue, particularly among young people, significantly impacting their well-being and causing persistent distress.Early detection is crucial to address this growing concern.This study utilizes various machine learning, deep learning, and language models to detect depression among Bangladeshi university student

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Bioclimatic and Landscape Factors drive the Potential Distribution of Philaenus spumarius, Neophilaenus campestris and N. lineatus (Hemiptera, Aphrophoridae) in Southeastern Iberian Peninsula

Philaenus spumarius and Neophilaenus campestris are the main vectors of the invasive bacteria Xylella fastidiosa and key threats to European plant health.Previous studies of the potential distribution of P.spumarius reveal that climatic factors are the main drivers of its distribution on the Mediterranean Basin scale.Other local studies reveal that

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Lettura e non-lettura secondo Simone Weil

The present article analyses the concept of lecture in the thought of Simone Weil.Lecture is Accessories connected to the rational activity of human being and it allows man to orientate inside the structure of reality, by virtue of the meaning lecture itself determines.The different levels of lecture culminate in the possibility, for lecture itself

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