Injury Patterns in Krav Maga Training: A Cross-Sectional Study.

This cross-sectional study, conducted from July 2023 to January 2024, examines injury patterns and associated risk factors among Krav Maga athletes to develop tailored prevention strategies for this unique martial art. A survey of 109 participants revealed that 65 injuries were reported, with 59.6% caused by actions from another individual and 24.

Role of spatial coherence in diffractive optical neural networks.

Diffractive optical neural networks (DONNs) have emerged as a promising optical hardware platform for ultra-fast and energy-efficient signal processing for machine learning tasks, particularly in computer vision. Previous experimental demonstrations of DONNs have only been performed using coherent light. However, many real-world DONN applications require consideration of the spatial coherence properties of the optical signals.

Is a Pre-Existent Cone-Beam Computed Tomography Able to Detect Metal Dental Posts?

(1) Background: In this study, the efficacy of cone-beam computed tomography (CBCT) in detecting dental posts was compared to periapical radiography. (2) Methods: A retrospective evaluation of 53 patients' periapical radiographs and CBCT images was performed. The presence and type of the intra-canal dental post were initially determined on the periapical images (PA) radiographs' examination and were then compared to the observer's ability to detect the dental post on a CBCT image.

Identifying the Variables for Oncoplastic Reconstruction: Preoperative Assessment Tool for Breast Conserving Treatment.

Background: A wide range of surgical techniques has been described for breast conservation treatment (Oncoplasty) based on breast size and shape, as well as tumor size and location. However, there is a lack of standardization regarding the indications for oncoplastic reconstruction. This study aims to identify the presurgical parameters associated with poor cosmetic outcomes post-breast conserving treatment.