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A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification.
Sci Rep
December 2024
Department of Computer Science and Digital Technologies, University of East London, London, UK.
Nursing activity recognition has immense importance in the development of smart healthcare management and is an extremely challenging area of research in human activity recognition. The main reasons are an extreme class-imbalance problem and intra-class variability depending on both the subject and the recipient. In this paper, we apply a unique two-step feature extraction, coupled with an intermediate feature 'Angle' and a new feature called mean min max sum to render the features robust against intra-class variation.
View Article and Find Full Text PDFContinuous decoupled redox electrochemical CO capture.
Nat Commun
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State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University & Shenzhen University, Chengdu, P.R. China.
Electrochemical CO capture driven by renewable electricity holds significant potential for efficient decarbonization. However, the widespread adoption of this approach is currently limited by issues such as instability, discontinuity, high energy demand, and challenges in scaling up. In this study, we propose a scalable strategy that addresses these limitations by transforming the conventional single-step electrochemical redox reaction into a stepwise electrochemical-chemical redox process.
View Article and Find Full Text PDFNon-Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning.
Adv Sci (Weinh)
December 2024
Department of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, 200040, P. R. China.
Moyamoya disease (MMD) is a progressive cerebrovascular disorder that increases the risk of intracranial ischemia and hemorrhage. Timely diagnosis and intervention can significantly reduce the risk of new-onset stroke in patients with MMD. However, the current diagnostic methods are invasive and expensive, and non-invasive diagnosis using biomarkers of MMD is rarely reported.
View Article and Find Full Text PDFNon-antibiotic approaches to mitigating wound infections: Potential for SSRIs and adrenergic antagonists as emerging therapeutics.
Wound Repair Regen
December 2024
Department of Dermatology, University of California Davis School of Medicine, Sacramento, California, USA.
Bacterial biofilms represent a formidable challenge in the treatment of chronic wounds, largely because of their resistance to conventional antibiotics. The emergence of multidrug-resistant (MDR) bacterial strains exacerbates this issue, necessitating a shift towards exploring alternative therapeutic approaches. In response to this urgent need, there has been a surge in research efforts aimed at identifying effective non-antibiotic treatments.
View Article and Find Full Text PDF"The Heart of the Center": Exploring the Role of the Patient Care Technician in US Dialysis Care.
Kidney Med
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Division of Rheumatology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Rationale & Objective: Dialysis patient care technicians (PCTs) provide essential, frontline care for patients receiving in-center hemodialysis. We qualitatively explored perceptions of the PCT job role, responsibilities, and training among current PCTs, non-PCT dialysis staff, and patients receiving hemodialysis.
Study Design: Focus group study.
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