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A Study on Gambling Behavior in Türkiye: Perceptions, Attitudes, Thoughts, and Behaviors Toward Gambling.
Psychiatry Clin Psychopharmacol
December 2024
Department of Psychology, Ibn Haldun University Faculty of Humanities and Social Sciences, İstanbul, Türkiye.
Background: The aim of this quantitative study conducted with 5008 individuals aged 15 and above in 12 provinces across Turkey was to determine the prevalence and significant variables of gambling behavior in our country and to examine the gambling behaviors, perceptions, thoughts, and attitudes of this population towards gambling. The goal is to generate concrete, original, culturally sensitive, feasible, and effective recommendations for preventive and risk-reducing policies. It is the first and only comprehensive investigation into gambling behavior in Turkey, offering guidance in this field.
View Article and Find Full Text PDFDiscovery of Potent Dengue Virus NS2B-NS3 Protease Inhibitors Among Glycyrrhizic Acid Conjugates with Amino Acids and Dipeptides Esters.
Viruses
December 2024
Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung 41354, Taiwan.
This study investigated a library of known and novel glycyrrhizic acid (GL) conjugates with amino acids and dipeptide esters, as inhibitors of the DENV NS2B-NS3 protease. We utilized docking algorithms to evaluate the interactions of these GL derivatives with key residues (His51, Asp75, Ser135, and Gly153) within 10 Å of the DENV-2 NS2B-NS3 protease binding pocket (PDB ID: 2FOM). It was found that compounds and exhibited unique binding patterns, forming hydrogen bonds with Asp75, Tyr150, and Gly153.
View Article and Find Full Text PDFAfrican Swine Fever in Saxony-Disease Dynamics.
Viruses
December 2024
Friedrich-Loeffler-Institut Institute of Epidemiology, Südufer 10, 17493 Greifswald-Insel Riems, Germany.
African swine fever (ASF) emerged in Germany in 2020. A few weeks after the initial occurrence, infected wild boar were detected in Saxony. In this study, data from wild boar surveillance in Saxony were analyzed.
View Article and Find Full Text PDFSeasonal Shifts in Influenza, Respiratory Syncytial Virus, and Other Respiratory Viruses After the COVID-19 Pandemic: An Eight-Year Retrospective Study in Jalisco, Mexico.
Viruses
December 2024
State Public Health Laboratory, Zapopan 45170, Jalisco, Mexico.
The coronavirus disease 2019 (COVID-19) pandemic profoundly disrupted the epidemiology of respiratory viruses, driven primarily by widespread non-pharmaceutical interventions (NPIs) such as social distancing and masking. This eight-year retrospective study examines the seasonal patterns and incidence of influenza virus, respiratory syncytial virus (RSV), and other respiratory viruses across pre-pandemic, pandemic, and post-pandemic phases in Jalisco, Mexico. Weekly case counts were analyzed using an interrupted time series (ITS) model, segmenting the timeline into these three distinct phases.
View Article and Find Full Text PDFIntegrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.
Viruses
November 2024
Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights.
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