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Challenging behaviours are distressing sequelae for people with acquired brain injury (ABI) and their families. Positive Behaviour Support (PBS) is a collaborative approach focussing on improving quality of life for individuals with ABI presenting with challenging behaviours. This qualitative study explored clinicians' experiences of a 12-month intervention (PBS+PLUS) for adults with ABI and their family/carers. Semi-structured interviews were conducted with eight clinicians trained in neuropsychology (= 5), occupational therapy (= 3), speech pathology (= 2), with two clinicians trained in two of these disciplines. Interviews were analysed through reflexive thematic analysis. Three themes were identified: Shifting clinical identity; Working as equals; Adapting to the environment. Participants experienced PBS+PLUS as a difficult approach to learn but one which enhanced overt client communication and comfort with their clinical fallibility. PBS+PLUS involved giving clients equal status in the clinician-client relationship which for some clients and families was challenging. Finally, PBS+PLUS was perceived as problematic to implement in some work settings (e.g., involving high staff turnover). Clinicians' recommendations for future implementation included thorough training and supervision and early setting of client expectations. With increasing interest in PBS to address challenging behaviours after ABI, these findings will guide PBS+PLUS translation for community clinicians.
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http://dx.doi.org/10.1080/09602011.2021.2010574 | DOI Listing |
Water Res
September 2025
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China. Electronic address:
Groundwater overextraction presents persistent challenges due to strategic interdependence among decentralized users. While game-theoretic models have advanced the analysis of individual incentives and collective outcomes, most frameworks assume fully rational agents and neglect the role of cognitive and social factors. This study proposes a coupled model that integrates opinion dynamics with a differential game of groundwater extraction, capturing the interaction between institutional authority and evolving stakeholder preferences.
View Article and Find Full Text PDFJ Pediatr Hematol Oncol
September 2025
Department of Pediatric, The University of Jordan.
Background: Rhabdomyosarcoma (RMS) typically responds well to a combination of treatments with favorable prognosis in children 1 to 9 years old. However, infants may fare worse due to receiving less aggressive local therapy for concerns about long-term effects of surgery/radiation. This study investigates the clinical characteristics, treatment approach, and survival outcomes of RMS in children under 2.
View Article and Find Full Text PDFMicrob Genom
September 2025
Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, PR China.
African swine fever virus (ASFV) is highly transmissible and can cause up to 100% mortality in pigs. The virus has spread across most regions of Asia and Europe, resulting in the deaths of millions of pigs. A deep understanding of the genetic diversity and evolutionary dynamics of ASFV is necessary to effectively manage outbreaks.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
September 2025
Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Aims: Fetal circulation undergoes complex changes in congenital heart disease (CHD) that are challenging to assess with fetal echocardiography. This study aimed to assess clinical feasibility and diagnostic value of 4D flow cardiac magnetic resonance (CMR) in fetal CHD.
Methods And Results: Pregnant women in advanced third trimester pregnancy with fetal CHD were prospectively recruited for fetal CMR between 08/2021 and 11/2024.
PLoS One
September 2025
Department of Computer Science, COMSATS University Islamabad, Sahiwal, Pakistan.
The widespread dissemination of fake news presents a critical challenge to the integrity of digital information and erodes public trust. This urgent problem necessitates the development of sophisticated and reliable automated detection mechanisms. This study addresses this gap by proposing a robust fake news detection framework centred on a transformer-based architecture.
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