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Sparse Bernoulli mixture modeling with negative-unlabeled data: an approach to identify and characterize long COVID.
Biometrics
January 2025
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.
SARS-CoV-2-infected individuals have reported a diverse collection of persistent and often debilitating symptoms commonly referred to as long COVID or post-acute sequelae of SARS-CoV-2 (PASC). Identifying PASC and its subphenotypes is challenging because available data are "negative-unlabeled" as uninfected individuals must be PASC negative, but those with prior infection have unknown PASC status. Moreover, feature selection among many potentially informative characteristics can facilitate reaching a concise and easily interpretable PASC definition.
View Article and Find Full Text PDFProtein-ligand interaction prediction based on heterogeneity maps and data enhancement.
J Biomol Struct Dyn
March 2025
School of Mechatronic Engineering and automation, Shanghai University, Shanghai, China.
Prediction of protein-ligand interactions is critical for drug discovery and repositioning. Traditional prediction methods are computationally intensive and limited in modeling structural changes. In contrast, data-driven deep learning methods significantly reduce computational costs and offer a more efficient approach for drug discovery.
View Article and Find Full Text PDFExpectancy Effects, Failure of Blinding Integrity, and Placebo Response in Trials of Treatments for Psychiatric Disorders: A Narrative Review.
JAMA Psychiatry
March 2025
Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Importance: Expectancy effects are significant confounding factors in psychiatric randomized clinical trials (RCTs), potentially affecting the interpretation of study results. This narrative review is the first, to our knowledge, to explore the relationship between expectancy effects, compromised blinding integrity, and the effects of active treatment/placebo in psychiatric RCTs. Additionally, we present statistical and experimental approaches that may help mitigate the confounding impact of expectancy effects.
View Article and Find Full Text PDFNovel Non-Destructive Detection Methods for in Northern Red Oak and Chestnut.
Phytopathology
March 2025
Michigan State University, Dept. Plant, Soil and Microbial Sciences, 105 CIPS, East Lansing, Michigan, United States, 48910;
Oak wilt, caused by the fungal pathogen , spreads via root grafts and insect vectors, threating oaks ( spp.) and chestnuts ( spp.) in the United States.
View Article and Find Full Text PDFOf rats and robots: A mutual learning paradigm.
J Exp Anal Behav
March 2025
Behavioral Neuroscience Laboratory, Department of Psychology, Boğaziçi University, Istanbul, Turkey.
Robots are increasingly used alongside Skinner boxes to train animals in operant conditioning tasks. Similarly, animals are being employed in artificial intelligence research to train various algorithms. However, both types of experiments rely on unidirectional learning, where one partner-the animal or the robot-acts as the teacher and the other as the student.
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