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Circular distributions within the radians range describe two-dimensional directions by mapping points onto a unit circle. These distributions are vital in diverse fields such as medicine, ecology, and environmental studies, where measurements are expressed in terms of angles. However, when these distributions involve measuring angles within the radians range, they constitute axial or semi-circular data instead of circular data.

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Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification.

Heliyon

January 2025

Information Technology Department, Technical College of Informatics-Akre, Akre University for Applied Sciences, Kurdistan Regain, Iraq.

Deep Learning (DL) has significantly contributed to the field of medical imaging in recent years, leading to advancements in disease diagnosis and treatment. In the case of Diabetic Retinopathy (DR), DL models have shown high efficacy in tasks such as classification, segmentation, detection, and prediction. However, DL model's opacity and complexity lead to errors in decision-making, particularly in complex cases, making it necessary to estimate the model's uncertainty in predictions.

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Background: Coronary artery dominance is determined by the coronary artery emitting the posterior descending artery. In the left dominant system, a greater proportion of coronary flow enters the left coronary artery, potentially influencing calcified plaque development in the left anterior descending artery (LAD).

Methods: This retrospective single-center cohort study analyzed patients who underwent computed tomography angiography from September 2006 to December 2022 at Harbor-UCLA in Los Angeles, California.

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Objectives: This study aimed to assess the impact of anterior hood-sparing robot-assisted radical prostatectomy (RARP) with posterior-anterior reconstruction in a single-surgeon series by analysing oncological and functional continence outcomes.

Patients And Methods: We carried out a cohort comparison study of a prospectively collected single-surgeon series. The surgeon was an 'in-training' fellowship trained surgeon in their first 2 years of independent practice.

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Musculoskeletal modeling based on inverse dynamics provides a cost-effective non-invasive means for calculating intersegmental joint reaction forces and moments, solely relying on kinematic data, easily obtained from smart wearables. On the other hand, the accuracy and precision of such models strongly hinge upon the selected scaling methodology tailored to subject-specific data. This study investigates the impact of upper body mass distribution on internal and external kinetics computed using a comprehensive musculoskeletal model during level walking in both normal weight and obese individuals.

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