Objective: To evaluate the efficacy of a replicable group treatment program to improve social communication skills after traumatic brain injury (TBI).
Design: Randomized treatment and deferred treatment controlled trial, with follow-up at 3, 6, and 9 months post-treatment.
Setting: Community.
Participants: Volunteer sample of 52 people with TBI who were at least 1 year postinjury, who received rehabilitation, and who had identified social communication deficits.
Intervention: Twelve weekly group sessions (1.5 h each) to improve social communication.
Main Outcome Measures: The Profile of Functional Impairment in Communication (PFIC), Social Communication Skills Questionnaire-Adapted (SCSQ-A), Goal Attainment Scale (GAS), Craig Handicap Assessment and Reporting Technique-Short Form social integration and occupation subscales, Community Integration Questionnaire social integration and productivity subscales, and Satisfaction With Life Scale (SWLS).
Results: Independent samples t test analysis showed significant treatment effect compared with no treatment on 7 of 10 of the PFIC subscales (P range, .024 to <.001) and the SCSQ-A (P=.005) after the first 12 weeks of the study. After 12 weeks of treatment for all participants, repeated-measures analysis showed significant improvements from baseline on 9 of 10 PFIC subscales (P range, .01-.001), SCSQ-A (P < or = .001), GAS (P < or = .001), and SWLS (P = .011). At 6-month follow-up, scores were significantly better than baseline on 6 of 10 PFIC scales (P range, .01-.001), the SCSQ-A (P < or = .001), GAS (P < or = .001), and SWLS (P < or = .001).
Conclusions: TBI subjects who received social communication skills training had improved communication skills that were maintained on follow-up. Overall life satisfaction for participants was improved.
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http://dx.doi.org/10.1016/j.apmr.2007.07.033 | DOI Listing |
Am J Sports Med
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Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
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Information Materials and Intelligent Sensing Laboratory of Anhui Province, Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiu Long Road, Hefei, 230601, China.
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Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
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January 2025
North Carolina School of Science and Mathematics, Durham, NC, 27705, USA.
Mobile Ad Hoc Networks (MANETs) are increasingly replacing conventional communication systems due to their decentralized and dynamic nature. However, their wireless architecture makes them highly vulnerable to flooding attacks, which can disrupt communication, deplete energy resources, and degrade network performance. This study presents a novel hybrid deep learning approach integrating Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) architectures to effectively detect and mitigate flooding attacks in MANETs.
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Department of Agricultural Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamil Nadu, India.
This study investigates the enhancement of solar cell efficiency using nanofluid cooling systems, focusing on citrate-stabilized and PVP-stabilized silver nanoparticles. Traditional silicon-based and perovskite solar cells were examined to assess the impact of these nanofluids on efficiency improvement and thermal management. A Central Composite Design (CCD) was employed to vary nanoparticle concentration (0.
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