Automatic Segmentation of Quadriceps Femoris Cross-Sectional Area in Ultrasound Images: Development and Validation of Convolutional Neural Networks in People With Anterior Cruciate Ligament Injury and Surgery.

Objective: Deep learning approaches such as DeepACSA enable automated segmentation of muscle ultrasound cross-sectional area (CSA). Although they provide fast and accurate results, most are developed using data from healthy populations. The changes in muscle size and quality following anterior cruciate ligament (ACL) injury challenges the validity of these automated approaches in the ACL population.

A Narcissism/Vanity Distinction? Reassessing Vanity Using a Modern Model of Narcissism Based on Pride, Empathy, and Social Behaviors.

The primary purpose of this study is to evaluate the role of vanity in its longstanding theoretical association with narcissism. This is particularly germane, as the conceptualization and measurement of narcissism have evolved in recent years. This is observed in the development of spectrum and/or dimensional models of narcissism, concomitant with the conceptual developments of vanity that have emerged since its original inclusion in the Narcissism Personality Inventory.