Publications by authors named "W U Qing"

Although there are some studies on the automatic evaluation of impairment levels after stroke using machine learning (ML) models, few have delved into the predictive capabilities of raw motion data. In this study, we captured kinematic trajectories of the trunk and affected upper limb from 21 patients with chronic stroke when performing three reaching tasks. Employing ML models, we integrated the recorded trajectories to predict scores of the Fugl-Meyer Assessment of the Upper Extremity (FMA-UE) of stroke patients.

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Background: The protective effects of autophagy-mediated microglial inflammatory regulation on diseases of the central nervous system (CNS) has been a recent field of interest. The canonical signaling pathway activated by Wnt1, the Wnt/β-catenin signaling cascade, also plays a crucial protective role in neurodegenerative diseases. However, the relationship between Wnt1/β-catenin signaling and microglial activation remains unclear.

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Protein-energy wasting (PEW) has high incidence in hemodialysis patients and refers to a state of decreased protein and energy substance. With the extensive development of hemodialysis in patients with end-stage kidney disease, most patients with maintenance hemodialysis have the problem of PEW, which is one of the common complications of maintenance hemodialysis patients, resulting in decreased quality of life and increased mortality. This article searches and analyzes the literature in recent years to summarize the current influencing factors and common interventions of PEW in maintenance hemodialysis patients, which will provide reference for subsequent nutritional management of maintenance hemodialysis patients.

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Objective: To investigate the current status of nurses' job performance, to analyze the latent profile analysis of nurses' job performance and their relationship with occupational coping self-efficacy, perceived social support and to explore the factors influencing the different profiles.

Methods: From April to June 2024, 390 nurses from five general hospitals were facilitated to be selected as survey respondents using a general information questionnaire, job performance scale, occupational coping self-efficacy scale, and perceived social support scale. Latent profile analysis of nurses' job performance were analyzed, and logistic regression was used to analyze the factors influencing different categories of nurses' job performance.

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Background: Chronic post-thoracotomy pain (CPTP) is characterized by high incidence, long duration, and severity of pain. Medial prefrontal cortex (mPFC) is a brain region closely associated with chronic pain, and norepinephrine is involved in pain regulation. But the role of mPFC norepinephrine in CPTP and its possible mechanism is unclear.

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