Resettlement, Employment, and Mental Health Among Syrian Refugee Men in Canada: An Intersectional Study Using Photovoice.

Context: The impact of forced migration on the mental health of refugee men is far-reaching and compounded by gendered masculinity, which shapes men's access to employment and other resources. A gap in knowledge exists on the broader determinants of refugee men's mental health.

Methodology: Using community-based participatory action research and the arts-based method of photovoice, this study advances knowledge about the gendered impacts of forced migration from the perspective of ( = 11) Syrian refugee men in the Canadian context.

Association Between Motor Imagery Ability and Pain, Functional Status, Neck Awareness, and Depression in Individuals with Chronic Neck Pain.

Background: Pain-related symptoms are thought to affect motor imagery abilities adversely.

Primer Study Objective: The study aimed to examine motor imagery ability and its association with pain, functional status, neck awareness, and depression in individuals with chronic neck pain.

Design And Setting: A cross-sectional study, single-center.

Computational Mechanical Analysis of AO 44A1, 44B1, and 44C1 Fractures with Finite Element Modeling: Evaluation of Screw, Plate, and Kirschner Wire Fixation.

Background: The aim of this study was to create AO 44A1, 44B1, and 44C1 fractures using finite element analysis to determine the stability of Kirschner wire, intramedullary screw, and plate-screw fixation methods in fracture.

Methods: Using finite element analysis, the postreduction behavior of AO 44A1, 44B1, and 44C1 fractures with Kirschner wire, intramedullary screw, and plate-screw fixation methods was analyzed and compared in terms of displacement and stress.

Results: The lowest amount of displacement was provided with the intramedullary screw method in AO 44A1 and 44B1 fractures and with the 4-mm Kirschner wire method in AO 44C1 fractures.

Assessing countries' performances against COVID-19 via WSIDEA and machine learning algorithms.

The COVID-19 pandemic, which first spread to the People of Republic of China and then to other countries in a short time, affected the whole world by infecting millions of people and have been increasing its impact day by day. Hundreds of researchers in many countries are in search of a solution to end up this pandemic. This study aims to contribute to the literature by performing detailed analyses via a new three-staged framework constructed based on data envelopment analysis and machine learning algorithms to assess the performances of 142 countries against the COVID-19 outbreak.

Spontaneously resolved uterine prolapse in a neonate with spina bifida.

Yapıcıoğlu Yıldızdaş H, Ece Ü, Bilen Yurdakul G, Kolağasıgil E. Spontaneously resolved uterine prolapse in a neonate with spina bifida. Turk J Pediatr 2019; 61: 979-981.