Social networking Web sites, such as Facebook, have changed the way in which people communicate online. The present study examined the relationship between jealousy and Facebook use experimentally by asking participants to imagine viewing their romantic partner's Facebook page. We varied the hypothetical privacy settings and number of photos of the couple publicly available on Facebook. Results indicated that imagined privacy settings and the presence of couple photos affected negative emotions (jealousy, anger, disgust, and hurt). Furthermore, we found sex differences indicating that women felt more intense negative emotions after thinking about the fictitious scenario than did men, particularly when evidence of infidelity was public to others. These results have implications for sex differences in jealousy and suggest that the manner in which people employ Facebook privacy settings can be negative for romantic relationships.
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http://dx.doi.org/10.1089/cyber.2012.0411 | DOI Listing |
BioData Min
January 2025
School of Computer Science, Fudan University, Shanghai, China.
This survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) in biomedical research. Foundation models such as ChatGPT, LLaMa, and CLIP, which are trained on vast datasets through methods including unsupervised pretraining, self-supervised learning, instructed fine-tuning, and reinforcement learning from human feedback, represent significant advancements in machine learning. These models, with their ability to generate coherent text and realistic images, are crucial for biomedical applications that require processing diverse data forms such as clinical reports, diagnostic images, and multimodal patient interactions.
View Article and Find Full Text PDFEnviron Health
January 2025
Academic Center for General Practice, KU Leuven, Kapucijnenvoer 7 bus 7001 block h, Leuven, 3000, Belgium.
Background: The detection of a local per- and polyfluoroalkyl substances (PFAS) pollution hotspot in Zwijndrecht (Belgium) necessitated immediate action to address health concerns of the local community. Several human biomonitoring (HBM) studies were initiated, gathering cross-sectional exposure data from more than 10,000 participants. The linkage of these HBM data with primary care health registries might be a useful new tool in environmental health analysis.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Division of Learning and Teaching, Charles Sturt University, Bathurst, NSW, Australia.
Background: Interviewers' judgements play a critical role in competency-based assessments for selection such as the multiple-mini-interview (MMI). Much of the published research focuses on the psychometrics of selection and the impact of rater subjectivity. Within the context of selecting for entry into specialty postgraduate training, we used an interpretivist and socio-constructivist approach to explore how and why interviewers make judgments in high stakes selection settings whilst taking part in an MMI.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Objective: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained cytopathologists hamper utilization of ROSE. Therefore, developing an improved deep learning model to assist clinicians in promptly and accurately evaluating Diff-Quik stained cytology samples during ROSE has important clinical value.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
School of Library and Information Management, Emporia State University, Emporia, KS, USA.
Background And Purpose: Despite the increasing integration of information technologies in healthcare settings, limited attention has been given to understanding technostress among health practitioners in hospitals. This study aims to assess the prevalence of technostress creators among health practitioners and explore potential factors contributing to its occurrence, with the ultimate goal of informing strategies to mitigate its impact.
Method: Data were collected through a validated questionnaire administered to health practitioners at Tehran Apadana Hospital in Iran.
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