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http://dx.doi.org/10.1007/s00415-022-11160-5 | DOI Listing |
J Diabetes Investig
December 2024
Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Aims: Diabetic chorea refers to sudden involuntary movements developing in people with diabetes mellitus and is known to occur mainly in those with severe hyperglycemia. We conducted a questionnaire survey of case-reporting facilities in Japan to elucidate their clinical characteristics.
Methods: We searched the PubMed and Ichushi databases for case reports published from January 1, 2012, to December 31, 2017, using "diabetes" and "chorea" as keywords, and sent a questionnaire to the reporting institutions.
Ann Surg Open
December 2024
Department of Surgery, Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, MI.
Objective: We aimed to characterize sources of moral distress among providers in the context of surgery.
Background: Moral distress is defined as psychological unease generated when professionals identify an ethically correct action to take but are constrained in their ability to take that action. While moral distress has been reported among healthcare providers, the perspectives of providers working in surgery specifically are not often explored and reported.
Hippocampus
January 2025
Sechenov Institute of Evolutionary Physiology and Biochemistry, The Russian Academy of Sciences, Saint Petersburg, Russia.
Accumulating evidence indicates that inherited astrocyte dysfunction can be a primary trigger for epilepsy development; however, the available data are rather limited. In addition, astrocytes are considered as a perspective target for the design of novel and improvement of the existing antiepileptic therapy. Piracetam and related nootropic drugs are widely used in the therapy of various epileptic disorders, but detailed mechanisms of racetams action and, in particular, their effects on glial functions are poorly understood.
View Article and Find Full Text PDFBehav Res Methods
December 2024
CAP Team, Centre de Recherche en Neurosciences de Lyon - INSERM U1028 - CNRS UMR 5292 - UCBL - UJM, 95 Boulevard Pinel, 69675, Bron, France.
Artificial intelligence techniques offer promising avenues for exploring human body features from videos, yet no freely accessible tool has reliably provided holistic and fine-grained behavioral analyses to date. To address this, we developed a machine learning tool based on a two-level approach: a first lower-level processing using computer vision for extracting fine-grained and comprehensive behavioral features such as skeleton or facial points, gaze, and action units; a second level of machine learning classification coupled with explainability providing modularity, to determine which behavioral features are triggered by specific environments. To validate our tool, we filmed 16 participants across six conditions, varying according to the presence of a person ("Pers"), a sound ("Snd"), or silence ("Rest"), and according to emotional levels using self-referential ("Self") and control ("Ctrl") stimuli.
View Article and Find Full Text PDFRev Bras Epidemiol
December 2024
Fundação Oswaldo Cruz, Center for Epidemiology and Health Surveillance - Brasília (DF), Brazil.
The term "health surveillance" encompasses a wide range of activities, including the monitoring and observation of harms and diseases. We will investigate the most well-known aspect of health surveillance, namely the monitoring of communicable diseases. To illustrate our discussion, we will use the pandemic caused by the SARS-CoV-2 virus as a case study.
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