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Profiles of growth mindset and grit among rural Chinese students and their associations with math anxiety, motivation, and self-efficacy
Assessment of the effect of pomegranate seed extracts on prostate cancer through cellular and animal models
Codon-deoptimized single-round infectious virus for therapeutic and vaccine applications
Robot assisted sentinel lymph node biopsy using indocyanine green combined with carbon nanoparticles staining improved detection rates in breast cancer
Development and usability evaluation of a mHealth application for prehospital triage
Halotolerant bacteria isolated from the soils of Indian mangrove ecosystem for metal removal and NPK enhancement
Computer-assisted rehabilitation system in the use of motor function recovery: A protocol for scoping review
Backgrounds Motor dysfunction, a prevalent sequela of neurological disorders such as stroke, Parkinson’s disease, and cerebral palsy, profoundly compromises patients’ capacity to perform daily activities and participate in social interactions. To address this challenge, computer-assisted rehabilitation systems (CARS) have emerged as innovative tools for facilitating motor function recovery. However, the rapid proliferation of diverse CARS modalities—encompassing novel technical approaches, interdisciplinary integrations, and heterogeneous clinical applications—has resulted in a fragmented and poorly delineated research landscape. This scoping review protocol aims to systematically map the current evidence, clarify conceptual boundaries, identify key research themes, and highlight critical knowledge gaps within the CARS field. Methods Following PRISMA-ScR guidelines, a comprehensive search across English (PubMed, Embase, Web of Science) and Chinese (CNKI, Wanfang, VIP, SinoMed) databases (inception to May 2025) will retrieve peer-reviewed studies using controlled vocabulary (MeSH: Rehabilitation/methods) and keywords (“computer-assisted rehabilitation system*”). After deduplication (EndNote X9) and manual verification, two reviewers will independently screen titles/abstracts and full texts, resolving discrepancies via third-party arbitration. Data extraction will categorize studies into study characteristics (design, population), technical specifications (sensors, AI), and clinical contexts (outcome measures, motor domains). Quantitative synthesis will map publication trends, geographic distributions, and methodological profiles using PRISMA diagrams and heatmaps. Thematic analysis will identify dominant research clusters (e.g., robotics, VR) and interdisciplinary linkages. Results will be disseminated via interactive evidence maps and narrative summaries emphasizing clinical translation. Any protocol deviations will be explicitly documented to ensure methodological transparency. Discussion This review will synthesize the heterogeneous CARS field into a structured framework, guiding future research prioritization and clinical implementation. By delineating technical innovations, clinical efficacy, and knowledge gaps, findings aim to optimize rehabilitation strategies for neurological populations. Detail of this review project can be found in Open Science Framework: https://doi.org/10.17605/OSF.IO/HXDT8.
The effects of 3-hydroxyflavone complexes with transition metal ions on the physicochemical and microbial properties of bacterial cell membranes
An optimal disc height changes for successful indirect decompression with OLIF
Tough talks COVID-19 (TT-C) digital health intervention: multistate randomized controlled trial
Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems
Identifying ovarian cancer with machine learning DNA methylation pattern analysis
DSNet enables feature fusion and detail restoration for accurate object detection in foggy conditions
Efficacy of nursing interventions based on the enhanced recovery after surgery (ERAS) in patients with lumbar disc herniation
The evolution of broad seascape utility and ontogenetic life history variation in lutjanids
Liver-related outcomes in patients with cirrhosis: The value of clinical and laboratory data and noninvasive tests
Background and Purpose Cirrhosis patients face high mortality risks from complications, emphasizing the need for prognostic tools to estimate risk of adverse liver outcomes based on cirrhosis etiology and hence improve disease management. This study aimed to evaluate the association between baseline clinical factors, lab values and noninvasive measurements and risk of adverse liver outcomes among patients with cirrhosis, and develop disease-specific associative models. Methods Using proportional hazards regression, we developed six associative models, categorized by cirrhosis etiology, after identifying significant predictors of 30-day risk of ascites, hepatic encephalopathy (HE), and variceal bleeding (VB) among cirrhosis patients, with measurements selected through LASSO regression. Results A total of 4045 adult patients with cirrhosis were included in the analysis from a single U.S. center retrospective cohort. The 5-year rates for ascites, HE, and VB were 31.6%, 22.9%, and 30.7%, respectively. Multivariable analyses showed that independent predictors in cirrhosis due to metabolic dysfunction-associated steatohepatitis (MASH) and viral hepatitis were: (a) ascites: albumin and international normalized ratio (INR); (b) HE: albumin, INR, total bilirubin, platelet count; (c) VB: albumin, platelet count, hemoglobin. No variables were significantly associated with outcomes in patients with alcohol-associated liver disease. Conclusions The newly developed models provided accurate estimates of the 30-day risks of ascites, HE, and VB in MASH or viral hepatitis-related cirrhosis using baseline variables, providing a reliable tool for identifying high-risk patients warranting intensified interventions.