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| http://dx.doi.org/10.1016/j.ijcha.2022.101051 | DOI Listing |
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Wastewater Monitoring During the COVID-19 Pandemic in the Veneto Region, Italy: Longitudinal Observational Study.
JMIR Public Health Surveill
January 2025
Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padova, Via Loredan 18, Padova, Italy, 39 049 8275384.
Background: As the COVID-19 pandemic has affected populations around the world, there has been substantial interest in wastewater-based epidemiology (WBE) as a tool to monitor the spread of SARS-CoV-2. This study investigates the use of WBE to anticipate COVID-19 trends by analyzing the correlation between viral RNA concentrations in wastewater and reported COVID-19 cases in the Veneto region of Italy.
Objective: We aimed to evaluate the effectiveness of the cumulative sum (CUSUM) control chart method in detecting changes in SARS-CoV-2 concentrations in wastewater and its potential as an early warning system for COVID-19 outbreaks.
Rats and mice rapidly update timed behaviors.
Anim Cogn
January 2025
Neuroscience Department, Oberlin College, 173 Lorain St, Oberlin, OH, USA.
Keeping track of time intervals is a crucial aspect of behavior and cognition. Many theoretical models of how the brain times behavior make predictions for steady-state performance of well-learned intervals, but the rate of learning intervals in these models varies greatly, ranging from one-shot learning to learning over thousands of trials. Here, we explored how quickly rats and mice adapt to changes in interval durations using a serial fixed-interval task.
View Article and Find Full Text PDFA novel hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region.
Comput Biol Med
January 2025
Department of Biomedical Engineering, Islamic University, Kushtia, 7003, Bangladesh; Bio-Imaging Research Laboratory, Islamic University, Kushtia, 7003, Bangladesh. Electronic address:
Computed tomography (CT) scans play a key role in the diagnosis of stroke, a leading cause of morbidity and mortality worldwide. However, interpreting these scans is often challenging, necessitating automated solutions for timely and accurate diagnosis. This research proposed a novel hybrid model that integrates a Vision Transformer (ViT) and a Long Short Term Memory (LSTM) to accurately detect and classify stroke characteristics using CT images.
View Article and Find Full Text PDFSocial psychology of context and in context: Understanding the temporal, spatial and embodied dimensions of contemporary geopolitics.
Br J Soc Psychol
January 2025
Department of Cognitive Science, University of Malta, Msida, Malta.
Critical voices within social psychology have, for some time, emphasized that context matters for understanding psychological phenomena and processes. This special issue examines what a social psychology of context, and in context, can contribute to understanding contemporary geopolitics. We argue that, in examining the interplay between social psychology and contemporary geopolitics, we can understand how geopolitical contexts shape psychological processes and how psychology, in turn, informs our understanding of geopolitical phenomena.
View Article and Find Full Text PDFReal-time mechanism-based interventions for daily alcohol challenges: Protocol for ecological momentary assessment and intervention.
Digit Health
January 2025
Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
Background: Advancing evidence-based, tailored interventions for substance use disorders (SUDs) requires understanding temporal directionality while upholding ecological validity. Previous studies identified loneliness and craving as pivotal factors associated with alcohol consumption, yet the precise directionality of these relationships remains ambiguous.
Objective: This study aims to establish a smartphone-based real-life intervention platform that integrates momentary assessment and intervention into everyday life.
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