Systematic evaluation and trial sequential analysis of warming acupuncture combined with joint mobilization in the treatment of scapulohumeral periarthritis

Objective:To evaluate the clinical efficacy of warming acupuncture combined with joint mobilization for the treatment of scapulohumeral periarthritis.Methods:A search for published randomized controlled trials(RCT)investigating warming acupuncture combined with joint mobilization for the treatment of scapulohumeral periarthritis was performed using the Cochrane Library,PubMed,Embase,and Web of Science databases.According to requirements of the Cochrane systematic review,all evaluations of RCT investigating warming acupuncture with joint mobilization in the treatment of scapulohumeral periarthritis were performed via method quality assessment,data extraction,and data analysis.Revman 5.3 and Stata 12.0 statistical software were used for the meta-analysis,and the trial sequential analysis(TSA)software estimated the required information size for each outcome.Results:A total of 14 articles were retrieved for meta-analysis,which included 551 cases in the treatment group and 539 cases in the control group.Meta-analysis showed that:(1)warming acupuncture combined with joint mobilization improved total efficiency[OR=6.16,95%CI(3.79,10.00),Z=7.34;P<0.001),TSA results confirmed the results of the meta-analysis;(2)warming acupuncture combined with joint mobilization improved the cure rate[OR=2.84,95%CI(2.19,3.70),P<0.001],TSA results revealed that no further tests were needed to verify;(3)warming acupuncture combined with joint mobilization reduced the number of treatments required for healing[MD=-7.49,95%CI(-9.75,-5.23),P<0.001],TSA results confirmed the results of the meta-analysis;(4)in comparing visual analog scale scores before and after treatment,meta-analysis result showed that:SMD=-2.01,95%CI(-2.37,-1.65),P<0.001,the difference was statistically significant,TSA results confirmed the results of the meta-analysis.Conclusion:Warming acupuncture combined with joint mobilization had a significant effect on the treatment of scapulohumeral periarthritis.

CLINICAL REPORT ON IMPROVEMENT OF MOBILITY OF AFFECTED SHOULDER JOINT CAUSED BY ACUTE CEREBRAL INFARCTION TREAT-ED WITH ACUPUNCTURE AND MASSAGE

Objective To observe the effects of acupuncture and massage to improve the mobility of affected shoulder joint caused by acute cerebral infarction. Methods 120 cases of acute cerebral infarction were randomized into two groups, named treatment group with acupuncture and massage and control group with western medicine. Acupoint selection of treatment group with acupuncture and massage： Yōngquán （涌泉 KI1）, Láogōng （劳宫 PC8）, Hòuxī （后溪SI3）, Gōngsūn （公孙 SP4）, Fēngchī （风池 GB20）, Jiānyú （肩髃 LI15）, Qūchí （曲池 LI11）, Hégǔ （合谷 LI4）, Huántiào （环跳 GB30）, Zúsānlǐ （足三里 ST36）, Tàichōng （太冲 LR3）, Anterior Oblique Line of Vertex-Temporal and Posterior Oblique Line of Vertex-Temporal. Massage techniques： roll for relax, hold and press, flick and fiddle, and shake. Control group with western medicine was treated with mannitol ＋ low molecular weight dextran ＋ CDP-choline. Results Compared with control group, treatment group could apparently improve the mobility of shoulder joint and lower the injury percentage （P〈0. 01） ; and the therapeutic effect of treatment group is better than that of control group （P〈0. 05） for treating acute cerebral infarction. Conclusion The therapy of acupuncture combined with massage could improve the function of the affected shoulder joint caused by acute cerebral infarction, and enhance therapeutic effect.

Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

The rapid growth of mobile internet services has yielded a variety of computation-intensive applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which enables mobile terminals to offload computation tasks to servers located at the edge of the cellular networks, has been considered as an efficient approach to relieve the heavy computational burdens and realize an efficient computation offloading. Driven by the consequent requirement for proper resource allocations for computation offloading via MEC, in this paper, we propose a Deep-Q Network (DQN) based task offloading and resource allocation algorithm for the MEC. Specifically, we consider a MEC system in which every mobile terminal has multiple tasks offloaded to the edge server and design a joint task offloading decision and bandwidth allocation optimization to minimize the overall offloading cost in terms of energy cost, computation cost, and delay cost. Although the proposed optimization problem is a mixed integer nonlinear programming in nature, we exploit an emerging DQN technique to solve it. Extensive numerical results show that our proposed DQN-based approach can achieve the near-optimal performance。

Joint wireless and cloud resource allocation based on parallel auction for mobile edge computing

A joint resource allocation algorithm based on parallel auction(JRAPA)is proposed for mobile edge computing(MEC).In JRAPA,the joint allocation of wireless and cloud resources is modeled as an auction process,aiming at maximizing the utilities of service providers(SPs)and satisfying the delay requirements of mobile terminals(MTs).The auction process consists of the bidding submission,winner determination and pricing stages.At the bidding submission stage,the MTs take available resources from SPs and distance factors into account to decide the bidding priority,thereby reducing the processing delay and improving the successful trades rate.A resource constrained utility ranking(RCUR)algorithm is put forward at the winner determination stage to determine the winners and losers so as to maximize the utilities of SPs.At the pricing stage,the sealed second-price rule is adopted to ensure the independence between the price paid by the buyer and its own bid.The simulation results show that the proposed JRAPA algorithm outperforms other existing algorithms in terms of the convergence rate and the number of successful trades rate.Moreover,it can not only achieve a larger average utility of SPs but also significantly reduce the average delay of MTs.

Joint resource allocation scheme based on evolutionary game for mobile edge computing

To satisfy mobile terminals ’( MTs) offloading requirements and reduce MTs’ cost,a joint cloud and wireless resource allocation scheme based on the evolutionary game( JRA-EG) is proposed for overlapping heterogeneous networks in mobile edge computing environments. MTs that have tasks offloading requirements in the same service area form a population. MTs in one population acquire different wireless and computation resources by selecting different service providers( SPs). An evolutionary game is formulated to model the SP selection and resource allocation of the MTs. The cost function of the game consists of energy consumption,time delay and monetary cost. The solutions of evolutionary equilibrium( EE) include the centralized algorithm based on replicator dynamics and the distributed algorithm based on Q-learning.Simulation results show that both algorithms can converge to the EE rapidly. The differences between them are the convergence speed and trajectory stability. Compared with the existing schemes,the JRA-EG scheme can save more energy and have a smaller time delay when the data size becomes larger. The proposed scheme can schedule the wireless and computation resources reasonably so that the offloading cost is reduced efficiently.

Dental Treatment for Dizziness and Joint Mobility Disorder Caused by Harmful Electromagnetic Waves

With the development of an IT (Information Technology) society, the opportunity to use electronic devices, such as cell phones and personal computers, has increased. These electronic devices pro-vide many benefits to society. However, there have been a number of reports of electromagnetic hypersensitivity (EHS) related to the use of electronic devices. The symptoms of EHS may include headaches, fatigue, tinnitus, dizziness, memory loss, irregular heartbeat, and skin trouble. Since the pathogenic mechanism of such conditions is not yet clear, further research is required. This report shows how a subject’s dizziness and joint mobility disorder, caused by electromagnetic waves emitted by electronic devices, were cured by removing an onlay from the patient’s mouth and replacing it with a gold alloy onlay. The result indicates that the subject’s symptoms were caused by EHS. Although the symptoms were improved after the dental treatment, the underlying mechanism of the symptoms and the reason why this treatment is successful remain unclear. Further research is required to clarify these issues.

Limited joint mobility syndrome in diabetes mellitus: A minireview

Limited joint mobility syndrome(LJMS) or diabetic cheiroarthropathy is a long term complication of diabetes mellitus. The diagnosis of LJMS is based on clinical features: progression of painless stiffness of hands and fingers, fixed flexion contractures of the small hand and foot joints, impairment of fine motion and impaired grip strength in the hands. As the syndrome progresses, it can also affect other joints. It is important to properly diagnose such a complication as LJMS. Moreover, it is important to diagnose LJMS because it is known that the presence of LJMS is associated with micro- and macrovascular complications of diabetes. Due to the lack of curative treatment options, the suggested method to prevent or decelerate the development of LJMS is improving or maintaining good glycemic control. Daily stretching excercises of joints aim to prevent or delay progression of joint stiffness, may reduce the risk of inadvertent falls and will add to maintain quality of life.

Joint Resource Allocation and Admission Control Mechanism in Software Defined Mobile Networks

This paper presented a joint resource allocation(RA) and admission control(AC) mechanism in software defined mobile networks(SDMNs). In this mechanism, the joint RA and AC problem can be formulated as an optimization problem with the aim of maximizing the number of admitted users while simultaneously minimizing the number of allocated channels. Since the primal problem is modeled to be a mixed integer nonlinear problem(MINLP), we attain the suboptimal solutions to the primal MINLP by convex relaxation. Additionally, with the global information collected by the SDMNs controller, a centralized joint RA and AC(CJRA)algorithm is proposed by the Lagrange dual decomposition technique to obtain the global optimum. Meanwhile, we propose an OpenFlow rules placement strategy to realize CJRA in an efficient way. Moreover, a distributed algorithm is also developed to find the local optimum, showing a performance benchmark for the centralized one. Finally, simulation results show that the proposed centralized algorithm admits more users compared with the distributed.

A survey on joint-operation application for unmanned swarm formations under a complex confrontation environment

With the rapid development of informatization,autonomy and intelligence,unmanned swarm formation intelligent operations will become the main combat mode of future wars.Typical unmanned swarm formations such as ground-based directed energy weapon formations,space-based kinetic energy weapon formations,and sea-based carrier-based formations have become the trump card for winning future wars.In a complex confrontation environment,these sophisticated weapon formation systems can precisely strike mobile threat group targets,making them extreme deterrents in joint combat applications.Based on this,first,this paper provides a comprehensive summary of the outstanding advantages,strategic position and combat style of unmanned clusters in joint warfare to highlight their important position in future warfare.Second,a detailed analysis of the technological breakthroughs in four key areas,situational awareness,heterogeneous coordination,mixed combat,and intelligent assessment of typical unmanned aerial vehicle(UAV)swarms in joint warfare,is presented.An in-depth analysis of the UAV swarm communication networking operating mechanism during joint warfare is provided to lay the theoretical foundation for subsequent cooperative tracking and control.Then,an indepth analysis of the shut-in technology requirements of UAV clusters in joint warfare is provided to lay a theoretical foundation for subsequent cooperative tracking control.Finally,the technical requirements of UAV clusters in joint warfare are analysed in depth so the key technologies can form a closed-loop kill chain system and provide theoretical references for the study of intelligent command operations.

Task-Oriented Topology System Synthesis of Reconfigurable Legged Mobile Lander Integrating Active and Passive Metamorphoses

To explore hostile extraterrestrial landforms and construct an engineering prototype,this paper presents the task-oriented topology system synthesis of reconfigurable legged mobile lander(ReLML)with three operation modes from adjusting,landing,to roving.Compared with our preceding works,the adjusting mode with three rotations(3R)provides a totally novel exploration approach to geometrically matching and securely arriving at complex terrains dangerous to visit currently;the landing mode is redefined by two rotations one translation(2R1T),identical with the tried-and-tested Apollo and Chang'E landers to enhance survivability via reasonable touchdown buffering motion;roving mode also utilizes 2R1T motion for good motion and force properties.The reconfigurable mechanism theory is first brought into synthesizing legged mobile lander integrating active and passive metamorphoses,composed of two types of metamorphic joints and metamorphic execution and transmission mechanisms.To reveal metamorphic principles with multiple finite motions,the finite screw theory is developed to present the procedure from unified mathematical representation,modes and source phase derivations,metamorphic joint and limb design,to final structure assembly.To identify the prototype topology,the 3D optimal selection matrix method is proposed considering three operation modes,five evaluation criteria,and two topological subsystems.Finally,simulation verifies the whole task implementation process to ensure the reasonability of design.

植入式静脉输液港肩关节受限患者的康复训练

目的 探讨康复训练方案在植入式静脉输液港肩关节受限患者中的应用效果。方法 选取植入式静脉输液港肩部活动受限患者,按入院时间先后将69例设为对照组,采用常规握力球进行训练;72例设为干预组,采用康复训练方案进行干预。3个月后,比较两组患者肩关节活动度、日常生活活动能力及并发症发生情况。结果 两组干预后肩关节活动度前屈、外展、外旋、内旋、后伸活动度及日常生活活动能力评分显著优于本组干预前,干预后干预组关节活动度及日常生活活动能力评分显著优于对照组,血栓发生率显著低于对照组(均P<0.05);两组导管堵塞、异位发生率比较,差异无统计学意义(均P>0.05)。结论 康复训练方案简单易学,容易掌握,不受场地与时间限制,能改善静脉输液港肩关节受限患者肩关节活动度、日常生活活动能力,降低患者血栓发生率。

高水平太极拳运动员下肢功能不对称与蹬脚动作表现关联性研究

目的:探究高水平太极拳运动员下肢功能不对称与蹬脚动作表现的关联性。方法:采用Vicon三维运动捕捉系统和Kistler三维测力台,测试单脚纵跳(Single-Leg Countermovement Jump,SLCMJ)、前跳(Single-Leg Broad Jump,SLBJ)、侧跳(Single-Leg Lateral Jump,SLLJ)和蹬脚动作,对下肢关节角度、关节活动度(Range of Motion,ROM)和重心位移量与不对称指数进行了Pearson相关性分析。结果:(1)不对称指数为SLCMJ(5.64)>SLBJ(4.2)>SLLJ(3.44);(2)优势侧与非优势蹬伸腿在提膝时刻的髋关节屈曲和膝关节旋内角度、在蹬伸时刻的髋关节屈曲和旋内角度、在蹬伸时段的膝关节屈伸、旋转ROM存在高度显著性差异(P<0.01);(3)优势侧与非优势蹬伸腿在提膝时刻的髋关节旋内角度、在蹬伸时刻的膝关节屈曲角度、在提膝时段的膝关节旋转ROM、在屈收时段的膝关节屈伸和旋转ROM存在显著性差异(P<0.05);(4)优势侧与非优势支撑腿在屈收时刻的膝关节屈曲角度、在落脚时段的踝关节旋转ROM和重心位移量在蹬伸时段的左右方向呈显著性差异(p<0.05);(5)下肢不对称指数与蹬伸腿和支撑腿的髋关节和膝关节旋内角度、非优势侧重心位移量左右方向呈极显著中度正相关;下肢不对称指数与蹬伸腿的髋关节屈曲角度、支撑腿髋关节屈曲角度、优势侧重心位移量前后方向呈极显著中度负相关。结论:高水平太极拳运动员优势侧相较于非优势侧支撑腿在蹬脚过程中具有较好的稳定性和平衡控制能力,非优势侧相较于优势侧蹬伸腿在提膝与蹬伸阶段髋、膝关节技术表现更好。因此,高水平太极拳运动员下肢功能不对称与蹬脚动作表现具有关联性。

浅析手游IP计中的应用研究

本文从手游IP在新式茶饮联名设计中的现状入手,分析手游IP在新式茶饮联名设计中的应用基础,对手游IP在新式茶饮联名设计中的应用规则进行细致的阐述,旨在更好地了解手游IP在新式茶饮联名设计中的未来发展趋势,认清IP联名的现状,归纳与总结IP联名的缺憾,实现跨圈双赢。

关节松动术配合针刺治疗颞下颌关节紊乱综合征

目的探讨关节松动术配合针刺治疗颞下颌关节紊乱综合征(TMJDS)临床疗效。方法选择颞下颌关节紊乱综合征患者144例,按照随机数表法分成观察组与对照组。对照组给予单纯针刺治疗,观察组在针刺治疗基础上配合关节松动术治疗4周。比较2组口腔健康影响程度量表(OHIP-14)评分、国际常用视觉模拟评分量表(VAS)评分、最大张口度、中文版颞下颌功能受损评分(MFIQ)及Fricton颞下颌关节紊乱指数,比较2组临床疗效和安全性。结果2组治疗后OHIP-14评分,VAS评分,MFIQ评分,功能障碍指数(DI)、肌肉触压痛指数(PI)、颞下颌关节指数(CMI)评分均降低(P<0.05),且观察组低于对照组(P<0.05);2组治疗后最大张口度均升高(P<0.05),且观察组高于对照组(P<0.05);观察组总有效率高于对照组(P<0.05);2组均未发生与治疗相关的不良事件。结论关节松动术配合针刺能够改善颞下颌关节紊乱综合征患者疼痛和颞下颌功能活动,提高最大张口度,疗效明显。

基于移动互联网的手绘图谱微课教学在专业学习中的探索

本研究旨在探索与研究基于移动互联网络的渐进式手绘图谱微课教学模式在骨科专业学习中的应用价值,以期进一步优化教学模式,提高学生学习效果和满意度,改善学习态度。本研究选取iPad应用程序Procreate及其他方式进行手绘,采用录屏和手机俯拍方式进行视频录制,从而保证了微课教学的互动性、灵活性和流畅性。在教学内容方面,着重介绍了膝关节半月板损伤、膝关节置换和骨折治疗等课程,以期为学生提供更加专业、实用和全面的学习资源。此外,本研究还对教学效果进行了全面评估和反馈,以便不断完善教学方法和内容。研究结果显示,基于移动互联网络的渐进式手绘图谱微课教学对学生学习效果、学习态度和满意度都产生了积极影响。学生在参与手绘微课教学后的成绩普遍提升,对教学方式和内容表达出积极态度,并对教学方式感到满意。因此,本研究为骨科专业学习提供了一种创新的教学模式,具有较好的应用前景。

Mulligan动态关节松动配合背俞穴透刺夹脊穴对腰椎间盘突出症患者生活质量的影响

目的探讨Mulligan动态关节松动配合背俞穴透刺夹脊穴对腰椎间盘突出症(LDH)患者生活质量的影响。方法选取2021年1月至12月在康复医学科就诊且行适宜手法治疗的80例LDH患者为研究对象,将其随机分为对照组和观察组,各40例。两组均采用常规腰部推拿和干扰电疗法治疗,对照组采用背俞穴透刺夹脊穴治疗,观察组在对照组基础上配合Mulligan动态关节松动治疗。比较两组的治疗效果。结果治疗后,两组的疼痛分级指数(PRI)、视觉模拟评分法(VAS)、现在疼痛状况(PPI)评分均低于治疗前,且观察组低于对照组(P<0.05)。治疗后,两组的日本骨科协会下腰痛评分法(JOA)评分高于治疗前,中文版Oswestry功能障碍指数(CODI)评分低于治疗前,且观察组优于对照组(P<0.05)。治疗后,两组的健康调查简表(SF-36)各维度评分均高于治疗前,且观察组高于对照组(P<0.05)。结论Mulligan动态关节松动配合背俞穴透刺夹脊穴可减轻LDH患者的腰部疼痛不适症状,改善腰椎功能,提高生活质量。

神经肌肉关节促进技术在肩袖损伤关节镜术后的应用研究

目的观察神经肌肉关节促进技术(NJF)在肩袖损伤关节镜术后的应用效果。方法选取2023年1月至2023年12月在本院接受肩关节镜下肩袖修补术治疗的94例肩袖损伤患者,以随机数字表法分为对照组与研究组,均47例,对照组患者予以常规康复治疗,研究组在常规康复治疗联合NJF治疗。比较两组术前及术后12周的Constant-Murley(CMS)评分,肩关节活动度。结果两组干预前CMS评分比较无差异(P>0.05);两组干预后CMS各项评分均上升,研究组CMS评分高于对照组(P<0.05)。两组干预前肩关节活动度比较无差异(P>0.05);两组干预后肩关节活动度均增加,研究组患者的肩关节活动度大于对照组(P<0.05)。结论NJF在肩袖损伤关节镜术后康复中有显著效果,可改善患者肩关节功能,提升肩关节活动度。

城镇化和流动中国背景下的多元主体共同治理机制研究

随着城镇化的加速,我国进入大流动社会。社会治理现代化是中国式现代化题中应有之义,提升流动社会治理水平意义重大。按照“主体—机制—规则—目标”的框架搭建多元主体共同治理机制,回答好谁来治理,如何治理,为谁治理及其治理目标等问题,有效协调好人的流动性、活跃性和政府职能的相对稳定性、计划性要求之间的冲突,实现人的全面发展,助推共同富裕,是践行习近平新时代中国特色社会主义思想的本质要求,需要政府统筹兼顾,激发社会组织功能,充分调动市场主体积极性,吸引个体广泛参与,灵活应用行政化、市场化和社会化手段,形成多元主体共治善治、内生推进共同富裕、实现中国式现代化目标。

柔性多关节移动机器人非线性控制轨迹的二次模糊逼近

针对柔性多关节移动机器人在非线性控制轨迹下控制精准度不高的问题,提出一种非线性控制下的模糊逼近方法。建立机器人动力学模型,根据动力学特性设置矢量参数,对误差扰动动态修正。将矢量参数作为初始输入值,采用加权平均和乘积推理法,使得矢量符合自适应规律,通过模糊逼近函数对控制器的输出值实行状态逼近,直至符合初始设定值;凭借李亚普诺夫函数对控制输出值二次实施稳定模糊逼近,完成非线性轨迹控制。以B样条曲线轨迹为例做控制实验,实验数据证明:该二次逼近控制方法在非线性轨迹下的控制精准度较高,控制器输出力矩稳定,实用性能较强。

基于具身智能的移动操作机器人系统发展研究

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