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A Study on the Application Effect of the Joint Rehabilitation Intervention Based on the Hospital-Community-Family Model for Middle-Aged and Elderly Patients with Chronic Kidney Disease
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作者 Meijie Zheng Wenxiu Liu +4 位作者 bohan qu Qiong Meng Ziye Chen Xinping Zhang Xian Li 《Journal of Clinical and Nursing Research》 2025年第10期316-326,共11页
Objective:To explore the application effect of the hospital-community-family model-based combined rehabilitation exercise intervention on middle-aged and elderly patients with chronic kidney disease.Methods:Using the ... Objective:To explore the application effect of the hospital-community-family model-based combined rehabilitation exercise intervention on middle-aged and elderly patients with chronic kidney disease.Methods:Using the convenience sampling method,80 patients in the stable stage of CKD who were treated in the nephrology department of a tertiary hospital from May 2022 to June 2023 were selected as the research subjects.They were divided into the experimental group(40 cases)and the control group(40 cases)by random number table method.The control group received conventional exercise intervention plus telephone follow-up,while the experimental group received combined hospital-community-family modelbased exercise intervention in addition to the control group,using remote medical guidance and monitoring of the application effect of exercise rehabilitation on middle-aged and elderly patients with chronic kidney disease.The glomerular filtration rate,6-minute walking distance,fatigue and social support scores of the two groups of patients were measured before the intervention,4 weeks after the intervention,and 12 weeks after the intervention.Results:Before the intervention,there were no statistically significant differences in glomerular filtration rate,6-minute walking distance,fatigue and social support scores between the two groups(p>0.05).After 12 weeks of intervention,the glomerular filtration rate,6-minute walking distance and social support scores of the experimental group were higher than those of the control group;the differences were statistically significant(p<0.05).The behavioral,emotional,sensory and cognitive scores of the Piper-Fatigue Revised Scale of the experimental group were lower than those of the control group,and the differences were statistically significant(p<0.05).Conclusion:Based on the hospital-community-family model combined rehabilitation exercise,using remote medical guidance for the continuous care of middle-aged and elderly patients in the stable stage of chronic kidney disease can effectively improve the exercise endurance and social support level of patients,improve the fatigue condition,and the implementation effect is positively correlated with the intervention time. 展开更多
关键词 Hospital-community-family model Remote medical care Middle-aged and elderly people Chronic kidney disease patients Rehabilitation exercise
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Deep-learning-based noise correction method for light-field fluorescence microscopy
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作者 bohan qu ZHOUYU JIN +2 位作者 YOU ZHOU BO XIONG XUN CAO 《Photonics Research》 2025年第9期2547-2565,共19页
Light-field microscopy(LFM)enables rapid volumetric imaging through single-frame acquisition and fast 3D reconstruction algorithms.The high speed and low phototoxicity of LFM make it highly suitable for real-time 3D f... Light-field microscopy(LFM)enables rapid volumetric imaging through single-frame acquisition and fast 3D reconstruction algorithms.The high speed and low phototoxicity of LFM make it highly suitable for real-time 3D fluorescence imaging,such as studies of neural activity monitoring and blood flow analysis.However,in in vivo fluorescence imaging scenarios,the light intensity needs to be reduced as much as possible to achieve longer-term observations.The resulting low signal-to-noise ratio(SNR)caused by reduced light intensity significantly degrades the quality of 3D reconstruction in LFM.Existing deep-learning-based methods struggle to incorporate the structured intensity distribution and noise characteristics inherent to LFM data,often leading to artifacts and uneven energy distributions.To address these challenges,we propose the denoise-weighted view-channel-depth(DNW-VCD)network,integrating a two-step noise model and energy weight matrix into an LFM reconstruction framework.Additionally,we developed an attenuator-induced imaging system for dual-SNR image acquisition to validate DNW-VCD’s performance.Experimental results show that our method achieves artifact-reduced,realtime 3D imaging with isotropic resolution and lower phototoxicity,as verified through imaging of fluorescent beads,algae,and zebrafish heart. 展开更多
关键词 rapid volumetric imaging d reconstruction algorithmsthe studies neural activity monitoring deep learning vivo fluorescence imaging blood flow analysishoweverin noise correction light field fluorescence microscopy
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