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http://dx.doi.org/10.1038/s41430-022-01164-9 | DOI Listing |
Background: Body dysmorphic disorder (BDD), characterized by an obsessive focus on perceived flaws in appearance and affects approximately 0.7% through 2.4% of the general population, with dental-related concerns accounting for 20% of cases.
View Article and Find Full Text PDFIndian J Anaesth
January 2025
Department of Anaesthesiology, Critical Care and Pain Medicine, AIIMS, Guwahati, Assam, India.
A forest plot is a graphical tool to visualise and interpret the summary of estimated results in a meta-analysis. However, it is limited by its inability to control for random error, publication bias, heterogeneity, and confounding factors. Therefore, the interpretation can be misleading, resulting in flawed conclusions.
View Article and Find Full Text PDFClin Pharmacol Ther
March 2025
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Non-randomized studies will remain the mainstay for evidence on medications' effects in pregnancy since the number of pregnant participants in randomized clinical trials is insufficient to evaluate uncommon but serious pregnancy outcomes. There has been a growing interest in conceptualizing causal inference based on observational data as an attempt to emulate a hypothetical randomized trial: the target trial. This approach can help identify design flaws and ensuing biases and can point toward potential solutions.
View Article and Find Full Text PDFSci Rep
March 2025
Department of Business Administration, College of Business Administration, Princess Nourah Bint Abdulrahman University, PO Box 84428, 11671, Riyadh, Saudi Arabia.
The healthcare industry, aided by technology, leverages the Internet of Things (IoT) paradigm to offer patient/user-related services that are ubiquitous and personalized. The authorized repository stores ubiquitous data for which access-level securities are granted. These security measures ensure that only authorized entities can access patient/user health information, preventing unauthorized entries and data downloads.
View Article and Find Full Text PDFIEEE Trans Image Process
December 2024
Despite the prevailing transition from single-task to multi-task approaches in video anomaly detection, we observe that many adopt sub-optimal frameworks for individual proxy tasks. Motivated by this, we contend that optimizing single-task frameworks can advance both single- and multi-task approaches. Accordingly, we leverage middle-frame prediction as the primary proxy task, and introduce an effective hybrid framework designed to generate accurate predictions for normal frames and flawed predictions for abnormal frames.
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