EMDR Interventions in Refugees and Asylum Seekers: A Systematic Review and Meta-Analysis.

Both refugees and asylum seekers exhibit poorer mental health and higher rates of mental disorders, particularly posttraumatic stress disorder (PTSD), for which EMDR therapy has been shown to be effective. This review analyses the efficacy of EMDR in reducing PTDS in refugees or asylum seekers using randomized controlled studies (RCTs). A systematic review and meta-analysis published in PROSPERO (CRD42024595506) using the databases PubMed, PsycINFO and Web of Science were conducted.

Intrafraction motion in intra-cranial multi-target stereotactic radiosurgery plans: A multi-institutional investigation on robustness.

Purpose: Even with modern immobilisation devices, some amount of intrafraction patient motion is likely to occur during stereotactic radiosurgery (SRS) delivery. The aim of this work was to investigate how robustness of plans to intrafraction motion is affected by plan geometry and complexity.

Methods: In 2018, the Trans-Tasman Radiation Oncology Group conducted a multiple-target SRS international planning challenge, the data from which was utilised in this study.

Complete chloroplast genome of the marine eelgrass (Zosteraceae, Plantae) from Monterey, California.

We present the complete chloroplast genome of the eelgrass from Monterey, California. The genome is circular and 144,675  bp in length. It consists of 82 protein-coding, 31 transfer RNA, and 8 ribosomal RNA genes and is 99.

Delayed Onset Iliopsoas Tendonitis With Intramuscular Hematoma Following Total Hip Arthroplasty.

Iliopsoas tendonitis following total hip arthroplasty (THA) can be challenging to diagnose due to the many causes of postoperative groin pain. This case involves a 66-year-old female with right-sided hip and groin pain and a palpable mass, 3 years post-THA. Initial recovery was unremarkable until the sudden onset of symptoms after exercise.

Latent Space Representation of Human Movement: Assessing the Effects of Fatigue.

Fatigue plays a critical role in sports science, significantly affecting recovery, training effectiveness, and overall athletic performance. Understanding and predicting fatigue is essential to optimize training, prevent overtraining, and minimize the risk of injuries. The aim of this study is to leverage Human Activity Recognition (HAR) through deep learning methods for dimensionality reduction.