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Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale.
Front Psychol
December 2024
Natural and Artificial Cognition Laboratory, Department of Humanistic Studies, University of Naples "Federico II", Naples, Italy.
Introduction: Missing data in psychometric research presents a substantial challenge, impacting the reliability and validity of study outcomes. Various factors contribute to this issue, including participant non-response, dropout, or technical errors during data collection. Traditional methods like mean imputation or regression, commonly used to handle missing data, rely upon assumptions that may not hold on psychological data and can lead to distorted results.
View Article and Find Full Text PDFOdor masking to decrease the attraction of Triatoma infestans (Hemiptera: Reduviidae, Triatominae), a Chagas disease vector, towards a host.
Acta Trop
December 2024
Laboratorio de Estudio de la Biología de Insectos, Centro de Investigación Científica y de Transferencia Tecnológica a la Producción (CICYTTP - CONICET), Diamante, Entre Ríos, Argentina.; Facultad de Ingeniería, Universidad Nacional de Ente Ríos, Entre Ríos, Argentina.. Electronic address:
Chagas disease, vectored by kissing bugs, poses a public health problem across the Americas. The best way for reducing disease transmission is through vector control, which is currently based on the use of insecticides. However, insecticide resistance, and environmental and health issues, stress the need for new, environmentally-friendly methods for reducing vector-host contacts.
View Article and Find Full Text PDFEvaluating the Influence of Clinical Data on Inter-Observer Variability in Optic Disc Analysis for AI-Assisted Glaucoma Screening.
Clin Ophthalmol
December 2024
Department of Ophthalmology, Cliniques Universitaires Saint Luc, UCL, Brussels, Belgium.
Purpose: This study aims to evaluate the inter-observer variability in assessing the optic disc in fundus photographs and its implications for establishing ground truth in AI research.
Methods: Seventy subjects were screened during a screening campaign. Fundus photographs were classified into normal (NL) or abnormal (GS: glaucoma and glaucoma suspects) by two masked glaucoma specialists.
Heart Failure Masked as Pulmonary Embolism in Non-adherent Patient With Atrial Fibrillation: Case Report and Analytical Review of the Literature.
In Vivo
December 2024
Department of Health and Care Professions, Faculty of Health and Life Sciences, University of Exeter, Exeter, U.K.;
Background/aim: Atrial fibrillation (AF) and heart failure (HF) commonly co-occur, significantly increasing morbidity and mortality. Poorly controlled AF can contribute to complications like HF and is associated with conditions, such as stroke and pulmonary embolism (PE). This report involves a man with AF who had persistent respiratory symptoms and left-sided chest pain, initially suspected to be PE, but eventually diagnosed as HF.
View Article and Find Full Text PDFProbing Sensorimotor Memory through the Human Speech-Audiomotor System.
J Neurophysiol
December 2024
Yale Child Study Center, Yale School of Medicine, Yale University, New Haven, CT, USA.
Our knowledge of human sensorimotor learning and memory is predominantly based on the visuo-spatial workspace and limb movements. Humans also have a remarkable ability to produce and perceive speech sounds. We asked if the human speech-auditory system could serve as a model to characterize retention of sensorimotor memory in a workspace which is functionally independent of the visuo-spatial one.
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