This article has given a general overview of a specific and reproducible physical therapy evaluation that can be used to assess progress toward and achievement of goals of treatment. General descriptions of types of presentations that can be seen clinically were also delineated. General treatment goals were discussed and some specific exercises were introduced to help in developing a comprehensive program for the athlete. The main emphasis of the treatment of the athlete requires application of clinical reasoning to the evaluation, treatment, and reassessment process in order to achieve the athlete's goal of full return to sport.
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http://dx.doi.org/10.1016/s0278-5919(03)00002-4 | DOI Listing |
PLoS One
January 2025
Division of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology, Munich University Hospital (LMU), Munich, Germany.
Introduction: Despite its importance in voice training, comprehensive research into sustained vowel phonation with constant pitch and increasing and decreasing loudness, the so-called Messa di Voce, is lacking. The study examines the laryngeal behavior during Messa di Voce, regarding the impact of the speed of execution on voice stability parameters.
Materials And Methods: Nine untrained, healthy subjects (5 female, 4 male) were asked to perform Messa di Voce exercises on the vowel [i:], involving a gradual increase and decrease of volume.
J Head Trauma Rehabil
January 2025
Author Affiliations: Monash-Epworth Rehabilitation Research Centre, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia (Prof Ponsford and Drs Spitz, Pyman, Carrier, Hicks, and Nguyen); Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia (Dr Spitz); TIRR Memorial Hermann Research Center Houston, Texas (Drs Sander and Sherer); and H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine & Harris Health System, Houston, Texas (Drs Sander and Sherer).
Objectives: This study aimed to identify outcome clusters among individuals with traumatic brain injury (TBI), 6 months to 10 years post-injury, in an Australian rehabilitation sample, and determine whether scores on 12 dimensions, combined with demographic and injury severity variables, could predict outcome cluster membership 1 to 3 years post-injury.
Setting: Rehabilitation hospital.
Participants: A total of 467 individuals with TBI, aged 17 to 87 (M = 44.
J Pediatr Endocrinol Metab
January 2025
Center of Prevention and Rehabilitation, UniReha, University of Cologne, Medical Faculty and University Hospital, Cologne, Germany.
Objectives: The aim of this study was to investigate long-term bone development in children with cerebral palsy (CP) using longitudinal measurements of total body less head bone mineral content (TBLH-BMC) and bone mineral density (TBLH-BMD).
Methods: A retrospective longitudinal analysis was performed on 109 children with CP who participated in a rehabilitation programme from 2006 to 2018. Dual-energy X-ray absorptiometry (DXA) scans were performed at the beginning of the programme and repeated as clinically indicated.
BMC Med Educ
January 2025
Group of Research in Care and Health (GRUPAC), Faculty of Health Sciences, University of La Rioja, Logroño, 26006, Spain.
Introduction: Health disparities experienced by lesbian, gay, bisexual, and transgender (LGBT) individuals have been partially attributed to healthcare professionals' lack of cultural competence in addressing their specific needs. This study aimed to assess the differences in competencies and preparedness among health professionals from Poland and Spain when working with LGBT patients.
Methodology: Data were collected between June and August 2024 through a cross-sectional survey involving 673 health professionals (Mage = 33.
Neural Netw
January 2025
Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Shadow removal remains a challenging visual task aimed at restoring the original brightness of shadow regions in images. Many existing methods overlook the implicit clues within non-shadow regions, leading to inconsistencies in the color, texture, and illumination of the reconstructed shadow-free images. To address these issues, we propose an efficient hybrid model of Transformer and Generative Adversarial Network (GAN), named ShadowGAN-Former, which utilizes information from non-shadow regions to assist in shadow removal.
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