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Impact of task-oriented training based on acupuncture rehabilitation on upper extremity function and quality of life of patients with early stroke

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World journal of Clinical Cases 2024年第19期12卷 3776-3784页

作者： Hong-Guang liu jing-jing liu Yan-Ping Wang Hong-Ying Wang ao Sun Yue Zhou Ming-Ming Cai Ming-Ming Qi Department of Rehabilitation Medicine Ji Xi Ji Mine HospitalJixi 158100Heilongjiang ProvinceChina Department of Neurology Ji Xi Ji Mine HospitalJixi 158100Heilongjiang ProvinceChina Department of Infectious Diseases Jixi Hengshan District People's HospitalJixi 158100Heilongjiang ProvinceChina Department of Medical Care Ji Xi Ji Mine HospitalJixi 158100Heilongjiang ProvinceChina Department of Science and Education Ji Xi Ji Mine HospitalJixi 158100Heilongjiang ProvinceChina

BACKGROUND Eighty percent of stroke patients develop upper limb dysfunction,especially hand dysfunction,which has a very slow recovery,resulting in economic burden to families and *** To investigate the impact of task-oriented training based on acupuncture therapy on upper extremity function in patients with early *** Patients with early stroke hemiplegia who visited our hospital between january 2021 and October 2022 were divided into a control group and an observation group,each with 50 *** control group underwent head acupuncture plus routine upper limb rehabilitation training(acupuncture therapy).In addition to acupuncture and rehabilitation,the observation group underwent upper limb task-oriented training(30 min).Each group underwent treatment 5 d/wk for 4 *** extremity function was assessed in both groups using the Fugl-Meyer Assessment-Upper Extremity(FMA-UE),Wolf Motor Function Rating Scale(WMFT),modified Barthel Index(MBI),and Canadian Occupational Performance Measure(COPM).Quality of life was evaluated using the Short-Form 36-Item Health Survey(SF-36).Clinical efficacy of the interventions was also *** Before intervention,no significant differences were observed in the FMA-UE,MBI,and WMFT scores between the two groups(P>0.05).After intervention,the FMA-UE,WMFT,MBI,COPM-Functional Mobility and Satisfaction,and SF-36 scores increased in both groups(P<0.05),with even higher scores in the observation group(P<0.05).The observation group also obtained a higher total effective rate than the control group(P<0.05).CONCLUSION Task-oriented training based on acupuncture rehabilitation significantly enhanced upper extremity mobility,quality of life,and clinical efficacy in patients with early stroke.

关键词： Stroke Acupuncture rehabilitation Task-oriented training Upper extremity training

Clinical efficacy of intradermal type Ⅰ collagen injections in treating skin photoaging in patients from high-altitude areas

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World journal of Clinical Cases 2024年第16期12卷 2713-2721页

作者： Bin Yang ao He Bin-Bin Bu Gong Zhuo Qing-Zhu Zhou jia-Hang He liu liu Wen-Li Huang Xian Zhao Department of Plastic and Cosmetic Surgery The Affiliated Calmette Hospital of Kunming Medical UniversityThe First People's Hospital of KunmingCalmette Hospital KunmingKunming 650224Yunnan ProvinceChina Department of Dermatology The People's Hospital of Chuxiong Yi Autonomous PrefectureChuxiong Yi Autonomous Prefecture 675099Yunnan ProvinceChina

BACKGROUND Photoaging,a result of chronic sun exposure,leads to skin damage and pigmentation *** treatments may have limitations in high-altitude areas like Yunnan *** Col Ⅰ injections stimulate collagen production,potentially improving skin *** study aims to assess the efficacy and safety of this treatment for *** To evaluate the efficacy and safety of intradermal typeΙcollagen(ColΙ)injection for treating *** This prospective,self-controlled study investigated the impact of intradermal injections of ColΙon skin photodamage in 20 patients from the Yunnan *** six treatment sessions were conducted every 4 wk±3 *** and after each treatment,facial skin characteristics were quantified using a VISIA skin *** thickness data were assessed using the ultrasound probes of the Dermalab skin *** Face-Q scale was used for subjective evaluation of the treatment effect by the *** The skin thickness of the right cheek consistently increased after each treatment session compared with *** skin thickness of the left cheek significantly increased after the third through sixth treatment sessions compared with *** skin thickness of the right zygomatic region increased after the second to sixth treatment sessions,whereas that of the left zygomatic region showed a significant increase after the fourth through sixth treatment *** skin thickness of both temporal regions significantly increased after the fifth and sixth treatment sessions compared with baseline(P<0.05).These findings were also supported by skin ultrasound *** feature count for the red areas and wrinkle feature count decreased following the treatment(P<0.05).VISIA assessments also revealed a decrease in the red areas after *** Face-QSatisfaction with Facial Appearance Overall and Face-Q-Satisfaction with Skin scores significantly increased after each treatment ***

关键词： Photoaging TypeΙcollagen Face-Q High-altitude area Skin photodamage Patient satisfaction

Deep learning methods for noisy sperm image classification from convolutional neural network to visual transformer:a comprehensive comparative study

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Intelligent Medicine 2024年第2期4卷 114-127页

作者： ao Chen Chen Li Md Mamunur Rahaman Yudong Yao Haoyuan Chen Hechen Yang Peng Zhao Weiming Hu Wanli liu Shuojia Zou Ning Xu Marcin Grzegorzek Microscopic Image and Medical Image Analysis Group College of Medicine and Biological Information EngineeringNortheastern UniversityShenyangLiaoning 110169China Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA School of Arts and Design Liaoning Petrochemical UniversityFushunLiaoning 113001China Institute of Medical Informatics University of LübeckLüebeckGermany

Background With the gradual increase of infertility in the world,among which male sperm problems are the main factor for infertility,more and more couples are using computer-assisted sperm analysis(CASA)to assist in the analysis and treatment of ***,the rapid development of deep learning(DL)has led to strong results in image classification ***,the classification of sperm images has not been well studied in current deep learning methods,and the sperm images are often affected by noise in practical CASA *** purpose of this article is to investigate the anti-noise robustness of deep learning classification methods applied on sperm *** The SVIA dataset is a publicly available large-scale sperm dataset containing three *** this work,we used subset-C,which provides more than 125,000 independent images of sperms and impurities,including 121,401 sperm images and 4,479 impurity *** investigate the anti-noise robustness of deep learning classification methods applied on sperm images,we conducted a comprehensive comparative study of sperm images using many convolutional neural network(CNN)and visual transformer(VT)deep learning methods to find the deep learning model with the most stable anti-noise *** This study proved that VT had strong robustness for the classification of tiny object(sperm and impurity)image datasets under some types of conventional noise and some adversarial *** particular,under the influence of Poisson noise,accuracy changed from 91.45%to 91.08%,impurity precison changed from 92.7%to 91.3%,impurity recall changed from 88.8%to 89.5%,and impurity F1-score changed 90.7%to 90.4%.Meanwhile,sperm precision changed from 90.9%to 90.5%,sperm recall changed from 92.5%to 93.8%,and sperm F1-score changed from 92.1%to 90.4%.Conclusion Sperm image classification may be strongly affected by noise in current deep learning methods;the robustness with regard to noise of VT methods based

关键词： Computer-assisted sperm analysis Anti-noise Robustness Deep learning .Image classification Sperm image Conventional noise Adversarial attacks Convolutional neural network Visual transformer

未知不匹配互联系统的非对称输入约束分散控制器设计

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工程科学学报 2024年第12期46卷 2269-2278页

作者：王鼎范文倩刘奥北京工业大学信息科学技术学院北京100124 计算智能与智能系统北京市重点实验室北京100124 智慧环保北京实验室北京100124 北京人工智能研究院北京100124

基于自适应动态规划算法研究了具有未知不匹配互联和非对称输入约束的连续时间非线性系统分散控制问题.首先,根据孤立子系统的局部状态和耦合子系统的参考状态,采用径向基函数神经网络近似未知互连项,从而消除了互联项满足匹配条件且存... 详细信息

基于自适应动态规划算法研究了具有未知不匹配互联和非对称输入约束的连续时间非线性系统分散控制问题.首先,根据孤立子系统的局部状态和耦合子系统的参考状态,采用径向基函数神经网络近似未知互连项,从而消除了互联项满足匹配条件且存在上界的常见假设.然后,基于自适应评判框架,将分散最优控制器设计问题转化为一系列子系统非对称约束下局部最优控制器设计问题.利用Lyapunov稳定性定理,证明了不对称输入约束控制器能够迅速地镇定大规模分散系统.其中,引入状态观测器估计大规模非线性互联子系统状态并保证了观测误差满足一致最终有界.另外,利用评判神经网络近似改进后的代价函数,以近似求解Hamilton–jacobi–Bellman方程,获得满足非对称输入约束的最优分散控制策略.基于评判网络权值更新规则,通过选择合适的Lyapunov函数保证了权值近似误差满足一致最终有界.最后,通过仿真实例验证了该算法的有效性,并通过与未改进代价函数的传统方法对比,体现了该方法的先进性.

关键词：自适应动态规划非对称输入约束分散控制神经网络最优控制状态观测器未知不匹配互联

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基于功率同步控制的逆变器并网相位误差机理

中国电机工程学报 2024年第5期44卷 1962-1973,I0025页

作者：侯川川刘澳朱淼吴志坚电力传输与功率变换控制教育部重点实验室(上海交通大学) 上海市闵行区200240 上海交通大学国家电投智慧能源创新学院上海市闵行区200240 国网江苏省电力公司苏州供电分公司江苏省苏州市215100

在并网逆变器中,以锁相环(phase-locked loop,PLL)为代表的电网同步技术得到了广泛应用。然而,由于PLL的引入降低了并网系统的稳定性,使得包括功率同步控制(power synchronization control,PSC)在内的无PLL逆变器控制技术逐渐受到重视... 详细信息

在并网逆变器中,以锁相环(phase-locked loop,PLL)为代表的电网同步技术得到了广泛应用。然而,由于PLL的引入降低了并网系统的稳定性,使得包括功率同步控制(power synchronization control,PSC)在内的无PLL逆变器控制技术逐渐受到重视。针对PSC的同步技术,现有研究缺乏小扰动下的相位误差模型和理论分析,其同步特性与PLL之间的异同也尚未涉及。为此,在小扰动下首先建立PSC的相位误差模型,并对影响PSC相位误差特性的控制参数进行理论分析。利用所建立模型的频率特性,在相等带宽条件下,对比PSC与传统PLL相位误差之间的差异。仿真和实验证明了PSC相位误差模型的准确性,并且在相等带宽下PSC的同步响应速度显著优于PLL。该文结果可为PSC的控制参数设计、同步理论分析提供一定参考。

关键词：功率同步控制逆变器相位误差锁相环

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金属增材制件射线检测缺陷检出概率分析

航空动力学报 2024年第4期39卷 135-142页

作者：代威珏敖波刘海强夏志风南昌航空大学无损检测技术教育部重点实验室南昌330063 中国航发沈阳黎明航空发动机有限责任公司沈阳110043

针对增材制造射线检测缺乏缺陷检出概率数据易导致裂纹、孔隙缺陷漏检问题,以GH3625高温合金增材制件的线型缺陷和孔型缺陷为研究对象,使用CIVA2020仿真平台模拟X射线检测并得到缺陷检出概率(POD)曲线,研究两种缺陷不同尺寸变化对缺陷... 详细信息

针对增材制造射线检测缺乏缺陷检出概率数据易导致裂纹、孔隙缺陷漏检问题,以GH3625高温合金增材制件的线型缺陷和孔型缺陷为研究对象,使用CIVA2020仿真平台模拟X射线检测并得到缺陷检出概率(POD)曲线,研究两种缺陷不同尺寸变化对缺陷检出概率的影响,确定不同影响因素下缺陷检出尺寸及检出概率,并利用Sgompertz函数拟合得到线型缺陷受深度影响的POD曲线方程以及孔型缺陷受半径影响的POD曲线方程,建立了增材制造线型缺陷和孔型缺陷的缺陷检出概率模型。结果表明:在95%的置信水平下以90%概率可检出的线型缺陷长度尺寸为0.211 mm、宽度尺寸为0.213 mm、深度尺寸为0.178 mm,孔型缺陷可检出的直径尺寸为0.188 mm,高度尺寸为0.190 mm。通过实际试样微焦点射线成像检测以及胶片射线照相检测对仿真结果进行对比验证。表明建立的缺陷检出概率模型较为准确,可为增材制造中裂纹与孔隙缺陷检测可靠性分析提供依据。

关键词：增材制造射线检测缺陷检出概率线型缺陷孔型缺陷

InGaN multiple quantum well based light-emitting diodes with indium composition gradient InGaN quantum barriers

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Optoelectronics Letters 2024年第2期20卷 89-93页

作者： SANG Xien XU Yuan YIN Mengshuang WANG Fang LIOU juin j liu Yuhuai National Center for International joint Research of Electronic Materials and Systems International Joint-Laboratory of Electronic Materials and Systems of Henan ProvinceSchool of Electrical and Information EngineeringZhengzhou UniversityZhengzhou 450001China Institute of Intelligence Sensing Zhengzhou UniversityZhengzhou 450001China Research Institute of Industrial Technology Co. Ltd.Zhengzhou UniversityZhengzhou 450001China Zhengzhou Way Do Electronics Co. Ltd.Zhengzhou 450001China School of Electrical and Information Engineering North Minzu UniversityYinchuan 750001China1

To improve the internal quantum efficiency(IQE)and light output power of In Ga N light-emitting diodes(LEDs),we proposed an In-composition gradient increase and decrease In Ga N quantum barrier *** analysis of its P-I graph,carrier concentration,and energy band diagram,the results showed that when the current was 100 m A,the In-composition gradient decrease quantum barrier(QB)structure could effectively suppress electron leakage while improving hole injection efficiency,resulting in an increase in carrier concentration in the active region and an improvement in the effective recombination rate in the quantum well(QW).As a result,the IQE and output power of the LED were effectively improved.

关键词： diodes quantum gradient

基于自注意力机制U-net的微焦CT去射线源模糊方法

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光学学报 2024年第7期44卷 293-301页

作者：刘川江王奥张根源袁伟刘丰林重庆大学机械与运载工程学院重庆400044 重庆大学工业CT无损检测教育部工程研究中心重庆400044

在微焦CT成像中,通常利用增大X射线源管电压、管电流来提高扫描效率,但射线源功率增加会导致焦点尺寸增大,投影图像模糊,从而降低重建图像的空间分辨率。为了解决因非理想射线源焦点引起的图像模糊问题,本文提出利用深度学习在投影域映... 详细信息

在微焦CT成像中,通常利用增大X射线源管电压、管电流来提高扫描效率,但射线源功率增加会导致焦点尺寸增大,投影图像模糊,从而降低重建图像的空间分辨率。为了解决因非理想射线源焦点引起的图像模糊问题,本文提出利用深度学习在投影域映射非理想焦点与理想焦点投影之间的关系。推导了理想焦点投影与非理想焦点投影的正向关系,基于该关系构建配对数据集;提出一种基于自注意力机制的U-net网络(SU-net)学习非理想焦点投影到理想焦点投影的逆向关系。仿真实验和实际实验结果表明,提出的SU-net方法能准确地从非理想焦点投影中估计出理想焦点投影,可有效减少焦点导致的图像模糊。

关键词：计算机断层扫描微焦点CT 空间分辨率深度学习 X射线源焦点

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基于边界剥离思想的全局中心聚类算法

郑州大学学报（工学版） 2024年第5期45卷 86-94页

作者：程明畅敖兰刘浏四川师范大学可视化计算与虚拟现实四川省重点实验室四川成都610066 四川师范大学数学科学学院四川成都610066 成都理工大学数学地质四川省重点实验室四川成都610059 成都理工大学数理学院四川成都610059

全局中心聚类算法如k-means、谱聚类在类簇分布出现重叠粘连现象时往往容易陷入局部最优且参数难以设定,极大地限制了全局中心聚类算法在实际应用中的效果。为解决此问题,提出了一种基于边界剥离思想的全局中心聚类算法。首先,设计了一... 详细信息

全局中心聚类算法如k-means、谱聚类在类簇分布出现重叠粘连现象时往往容易陷入局部最优且参数难以设定,极大地限制了全局中心聚类算法在实际应用中的效果。为解决此问题,提出了一种基于边界剥离思想的全局中心聚类算法。首先,设计了一步边界剥离法,根据样本点间的反向k近邻关系定义了一种局部距离加权密度,并利用密度经验分布函数一阶差分最大处的密度值作为阈值将数据集分为边界集与核心集。其次,嵌入传统的全局中心聚类算法对核心集进行聚类,得益于核心集的簇间重叠问题已明显改善,嵌入算法将更容易收敛到真实的簇中心。最后,提出一种边界吸引算法,从已被归类的核心集样本点出发,借助已有的反向k近邻关系迭代融合边界集中的样本点以完成对整个数据集的聚类。相较于目前以迭代方式进行的边界剥离算法,所提算法在计算效率上具有明显优势,不需要额外设定复杂的终止条件而直接通过阈值进行边界划分,并且全局性方法在数据局部密度存在差异的情形下具备更强的鲁棒性。在实验阶段,采用3个合成数据集以及6个真实数据集从算法性能、参数敏感性、时间消耗多个方面进行评估,实验结果进一步验证了此算法的有效性与实用性。

关键词：全局中心聚类算法边界剥离簇重叠反向k近邻经验分布