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Development and Validation of a Brief Age-Normed Screening Tool for Subthreshold Psychosis Symptoms in Youth.
Schizophr Bull
January 2025
Department of Psychiatry, Neurodevelopment and Psychosis Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Background And Hypothesis: Improvements in screening tools for early subthreshold psychosis symptoms are needed to facilitate early identification and intervention efforts, especially given the challenges of rapidly differentiating age-appropriate experiences from potential early signs of emerging psychosis. Tools can be lengthy and time-consuming, impacting their utility and accessibility across clinical settings, and age-normed data are limited. To address this gap, we sought to develop and validate a brief, empirically derived, age-normed, subthreshold psychosis screening tool, for public use.
View Article and Find Full Text PDFMonitoring the trends of carbon monoxide and tropospheric formaldehyde in Edo State using Sentinel-5P and Google Earth Engine from 2018 to 2023.
Environ Monit Assess
January 2025
Laboratory for Ecotoxicology and Environmental Forensics, University of Benin, PMB 1154, Benin City, Nigeria.
This research was carried out to assess the concentrations of carbon monoxide (CO) and formaldehyde (HCHO) in Edo State, Southern Nigeria, using remote sensing data. A secondary data collection method was used for the assessment, and the levels of CO and HCHO were extracted annually from Google Earth Engine using information from Sentinel-5-P satellite data (COPERNISCUS/S5P/NRTI/L3_) and processed using ArcMap, Google Earth Engine, and Microsoft Excel to determine the levels of CO and HCHO in the study area from 2018 to 2023. The geometry of the study location is highlighted, saved and run, and a raster imagery file of the study area is generated after the task has been completed with a 'projection and extent' in the Geographic Tagged Image File Format (.
View Article and Find Full Text PDFThe Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review.
Curr Res Transl Med
January 2025
Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom.
This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.
View Article and Find Full Text PDFModulation of cytokeratin and cytokine/chemokine expression following influenza virus infection of differentiated human tonsillar epithelial cells.
J Virol
January 2025
Department of Host-Microbe Interactions, St Jude Children's Research Hospital, Memphis, Tennessee, USA.
Unlabelled: The tonsils have been identified as a site of replication for Epstein-Barr virus, adenovirus, human papillomavirus, and other respiratory viruses. Human tonsil epithelial cells (HTECs) are a heterogeneous group of actively differentiating cells. Here, we investigated the cellular features and susceptibility of differentiated HTECs to specific influenza viruses, including expression of avian-type and mammalian-type sialic acid (SA) receptors, viral replication dynamics, and the associated cytokine secretion profiles.
View Article and Find Full Text PDFPredictive Factors of Resilience in Early Childhood Care Professionals.
Healthcare (Basel)
January 2025
Faculty of Medicine, University of Granada, 18012 Granada, Spain.
Early childhood intervention professionals have higher rates of work-related stress and burnout compared to other health professionals. Furthermore, this is exacerbated by exposure to negative emotions, the stigma associated with mental health, and even the stress experienced by families due to the impact of having a child with a developmental disability. The aim of this study was to determine whether emotional intelligence and empathy were able to predict resilience in early childhood care professionals.
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