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Stereotypes and social decisions: The interpersonal consequences of socioeconomic status.
J Pers Soc Psychol
January 2025
Department of Psychology, University of Oregon.
Perceptions of socioeconomic status (SES) can perpetuate inequality by influencing interpersonal interactions in ways that disadvantage people with low SES. Indeed, lab studies have provided evidence that people can detect others' SES and that they may use this information to apply stereotypes that influence interpersonal decisions. Here, we examine how SES and SES-based stereotypes affect real-world social interactions between people from a socioeconomically diverse population.
View Article and Find Full Text PDFInterventions implemented through sporting organisations for promoting healthy behaviour or improving health outcomes.
Cochrane Database Syst Rev
January 2025
Cochrane Switzerland, c/o Cochrane Germany Foundation, Freiburg, Germany.
Background: Chronic diseases are the leading cause of mortality and morbidity worldwide. Much of this burden can be prevented by adopting healthy behaviours and reducing chronic disease risk factors. Settings-based approaches to address chronic disease risk factors are recommended globally.
View Article and Find Full Text PDFMultidimensional morphological analysis of live sperm based on multiple-target tracking.
Comput Struct Biotechnol J
December 2024
Department of Assisted Reproduction, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Manual semen evaluation methods are subjective and time-consuming. In this study, a deep learning algorithmic framework was designed to enable non-invasive multidimensional morphological analysis of live sperm in motion, improve current clinical sperm morphology testing methods, and significantly contribute to the advancement of assisted reproductive technologies. We improved the FairMOT tracking algorithm by incorporating the distance and angle of the same sperm head movement in adjacent frames, as well as the head target detection frame IOU value, into the cost function of the Hungarian matching algorithm.
View Article and Find Full Text PDFEnhanced neurological anomaly detection in MRI images using deep convolutional neural networks.
Front Med (Lausanne)
December 2024
Software Engineering Department, LUT University, Lahti, Finland.
Introduction: Neurodegenerative diseases, including Parkinson's, Alzheimer's, and epilepsy, pose significant diagnostic and treatment challenges due to their complexity and the gradual degeneration of central nervous system structures. This study introduces a deep learning framework designed to automate neuro-diagnostics, addressing the limitations of current manual interpretation methods, which are often time-consuming and prone to variability.
Methods: We propose a specialized deep convolutional neural network (DCNN) framework aimed at detecting and classifying neurological anomalies in MRI data.
Practices of maize handling and nixtamalization to reduce fungal toxin exposure in rural Guatemala.
J Agric Food Res
December 2024
Center for Indigenous Health Research, Wuqu' Kawoq|Maya Health Alliance, Tecpan, Chimaltenango, 04006, Guatemala.
Fungal toxins in local food supplies are a critical environmental health risk to communities globally. To better characterize hypothesized toxin control points among households, we conducted household surveys across four departments (first administrative division) in Guatemala. Data gathered included maize harvesting, processing, storage, and traditional nixtamalization practices.
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