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Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation.
Neural Netw
December 2024
Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore. Electronic address:
Manual annotation of ultrasound images relies on expert knowledge and requires significant time and financial resources. Semi-supervised learning (SSL) exploits large amounts of unlabeled data to improve model performance under limited labeled data. However, it faces two challenges: fusion of contextual information at multiple scales and bias of spatial information between multiple objects.
View Article and Find Full Text PDFEvidence that altercentric biases in a continuous false belief task depend on highlighting the agent's belief.
Cognition
January 2025
Minerva Fast Track Group Milestones of Early Cognitive Development, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103 Leipzig, Saxony, Germany; Department of Liberal Arts and Sciences, University of Technology Nuremberg, Ulmenstraße 52i, 90443 Nuremberg, Germany. Electronic address:
As social beings, we excel at understanding what other people think or believe. We even seem to be influenced by the belief of others in situations where it is irrelevant to our current tasks. Such altercentric interference has been proposed to reflect implicit belief processing.
View Article and Find Full Text PDFEvaluating the relationship between news source sharing and political beliefs.
Sci Rep
January 2025
Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
In an era marked by an abundance of news sources, access to information significantly influences public opinion. Notably, the bias of news sources often serves as an indicator of individuals' political leanings. This study explores this hypothesis by examining the news sharing behavior of politically active social media users, whose political ideologies were identified in a previous study.
View Article and Find Full Text PDFData quality for and about American Indian/Alaska Native (AI/AN) people is undermined by deeply entrenched, colonial practices that have become standard in US federal data systems. This article draws on cases of maternal mortality and COVID-19 to demonstrate the ethical and clinical need for inclusive, diverse, and accurate data when researching AI/AN health trends. This article further argues that epidemiologists specifically must challenge implicit bias, question methods and practices, and recognize colonial, racist reporting practices about AI/AN people that have long undermined data collection, analytical, and dissemination practices that are fundamental to epidemiological research.
View Article and Find Full Text PDFPsychosocial information sharing to improve equity in kidney transplant evaluation.
Curr Opin Organ Transplant
December 2024
Sanford Health, Fargo, North Dakota, USA.
Purpose Of Review: Increasing transplant access overall and particularly among historically underserved and marginalized patient groups is a shared goal nationwide. Patient challenges with psychosocial factors, such as social support and health literacy, are recognized as among the top reasons patients may not be referred, evaluated, or waitlisted, key steps along the pathway to transplantation. Yet referring providers' (e.
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