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Strengths Knowledge Defend Against Depression: The Contribution of University Students' Family Functioning During COVID-19.
Psychol Rep
January 2025
Faculty of Education, Guangxi Normal University, Guilin, China Guangxi College and University Key Laboratory of Cognitive Neuroscience and Applied Psychology, Guilin, China.
Strengths knowledge refers to individuals' perceptions and recognition of their strengths, and is recognized for its protective role in mental health. Family functioning provides certain environmental conditions for the healthy development of family members in physical, psychological, and social aspects, particularly during stressful periods such as the COVID-19 pandemic. It also plays an important role in youth's ability to cope with stressful situations.
View Article and Find Full Text PDFOptimal Pathways to Lung Cancer Screening in Primary Care Settings: A Scoping Review.
Curr Oncol
December 2024
Department of Social Medicine, School of Medicine, University of Crete, 71500 Heraklion, Greece.
Lung cancer is the leading cause of cancer-related deaths worldwide, and delayed detection contributes to poor outcomes. Primary care plays a crucial role in early diagnosis, but detecting lung cancer early remains challenging for general practitioners (GPs). Therefore, the aim of this scoping review was to identify optimal strategies and pathways for lung cancer screening (LCS) in primary care settings globally.
View Article and Find Full Text PDFRace to the Moon or the Bottom? Applications, Performance, and Ethical Considerations of Artificial Intelligence in Prosthodontics and Implant Dentistry.
Dent J (Basel)
December 2024
Department of Prosthodontics, Indiana University School of Dentistry, Indianapolis, IN 46202, USA.
This review aims to explore the applications of artificial intelligence (AI) in prosthodontics and implant dentistry, focusing on its performance outcomes and associated ethical concerns. Following the PRISMA guidelines, a search was conducted across databases such as PubMed, Medline, Web of Science, and Scopus. Studies published between January 2022 and May 2024, in English, were considered.
View Article and Find Full Text PDFSpectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning.
Bioengineering (Basel)
December 2024
Biomedical Engineering Department, University of Connecticut, Storrs, CT 06269, USA.
Electroretinograms (ERGs) show differences between typically developing populations and those with a diagnosis of autism spectrum disorder (ASD) or attention deficit/hyperactivity disorder (ADHD). In a series of ERGs collected in ASD ( = 77), ADHD ( = 43), ASD + ADHD ( = 21), and control ( = 137) groups, this analysis explores the use of machine learning and feature selection techniques to improve the classification between these clinically defined groups. Standard time domain and signal analysis features were evaluated in different machine learning models.
View Article and Find Full Text PDFExpert Consensus Methods In The Humanities: An Exploration of their Potential.
F1000Res
January 2025
Department of Philosophy, Vrije Universiteit Amsterdam, Amsterdam, North Holland, The Netherlands.
Background: Despite the significant role of consensus and dissensus in knowledge production, formal approaches to consensus are notably less common in the humanities compared to their frequent application in natural, social, and life sciences. This article therefore explores the potential of expert consensus methods in humanities-related research.
Methods: In order to do so, an interdisciplinary team of both sciences researchers experienced in consensus methods and researchers familiar with the domain of the humanities and epistemology, conducted a literary review and exchanged their expertise in multiple brainstorm sessions.
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