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Abstract Objective The Positive and Negative Syndrome Scale (PANSS) is a widely used instrument for assessing symptom severity in schizophrenia, whereas the Personal and Social Performance Scale (PSP) provides a practica...

Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....

Abstract Background Quantitative structure-activity relationship (QSAR) models are central to computer-aided drug discovery and predictive toxicology, but practical adoption is often impeded by ad-hoc tooling, inconsiste...

Abstract Background Surgical site infections (SSIs) continue to exert a substantial burden on healthcare systems, particularly in resource-limited settings where they contribute to prolonged hospitalizations, escalated c...

Abstract Background Preterm low birth weight (PLBW) is a major global contributor to neonatal morbidity and mortality. This study aims to develop and evaluate a novel artificial neural network (ANN) based predictive mode...

Abstract Background Terpenes and phenolic compounds are multifunctional plant metabolites that contribute to defense, signaling, and ecological interactions, while supporting industrial applications. Here, we implemented...

Abstract We developed SPARFlow, an open-source KNIME workflow for structure–activity or structure–property relationship (SAR/SPR) analyses. The workflow integrates data preprocessing, chemical structure curation, sim...

Abstract Background Both the atherogenic index of plasma (AIP) and obesity have been implicated in cardiovascular disease (CVD) risk. This study aimed to investigate the associations of AIP and AIP-obesity indices (AIP-W...

Abstract Background Depression risk in older adults is a complex mental health issue influenced by multiple factors, including individual vulnerability and environmental exposure. Although many methods have been used to ...

Abstract Background Effective modeling and parametric studies strengthen analyses of the influence of cotton fiber properties on the yarn properties, which are important for developing a higher-quality product. Machine l...

Abstract Background Metabolic syndrome (MetS) obviously increases the risk of major adverse cardiac and cerebrovascular events (MACCE) in patients with acute myocardial infarction (AMI). However, the metabolic mechanisms...