PREDICTING PTSD DEVELOPMENT WITH EARLY POST-TRAUMA ASSESSMENTS: A PROOF-OF-CONCEPT FOR A CONCISE TREE-BASED CLASSIFICATION METHOD

Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method

Background: Approximately 70% of individuals globally experience at least one traumatic event in their lifetimes, potentially leading to posttraumatic stress disorder (PTSD).Understanding the development of PTSD and devising effective prevention and treatment strategies are crucial.This proof-of-concept study aimed to design a concise tree-based ad

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Interplay of hypoxia and host cells in the translocation, invasion and dissemination of Taenia solium in neurocysticercosis

Neurocysticercosis, Muffin Pan Cleaning Brushes caused by the invasion of the central nervous system (CNS) by Taenia solium larvae, poses a significant global health burden.Despite its prevalence and severe neurological consequences, understanding of the molecular and signalling pathways facilitating parasite dissemination and CNS invasion is limit

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Zero-Shot Emotion Detection for Semi-Supervised Sentiment Analysis Using Sentence Transformers and Ensemble Learning

We live in a digitized era where our daily life depends on using online resources.Businesses consider the opinions of their customers, while people rely on the reviews/comments of other users before buying specific products or services.These reviews/comments are usually provided in the non-normative natural language within different contexts and do

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