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Bridging the gap:A scoping review of wet and dry lab simulation training in orthopaedic surgical education
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作者 Sari Wathiq Al Hajaj Chandramohan Ravichandran +4 位作者 Karthic Swaminathan Sanjeevi Bharadwaj Vishnu V Nair Hussein Shoukry Sriram Srinivasan 《World Journal of Orthopedics》 2026年第1期132-139,共8页
BACKGROUND Orthopaedic surgical education has traditionally depended on the apprenticeship model of“see one,do one,teach one”.However,reduced operative exposure,stricter work-hour regulations,medicolegal constraints... BACKGROUND Orthopaedic surgical education has traditionally depended on the apprenticeship model of“see one,do one,teach one”.However,reduced operative exposure,stricter work-hour regulations,medicolegal constraints,and patient safety concerns have constrained its practicality.Simulation-based training has become a reliable,safe,and cost-efficient alternative.Dry lab techniques,especially virtual and augmented reality,make up 78%of current dry lab research,whereas wet labs still set the standard for anatomical realism.AIM To evaluate the effectiveness,limitations,and future directions of wet and dry lab simulation in orthopaedic training.METHODS A scoping review was carried out across four databases-PubMed,Cochrane Library,Web of Science,and EBSCOhost-up to 2025.Medical Subject Headings included:"Orthopaedic Education","Wet Lab","Dry Lab","Simulation Training","Virtual Reality",and"Surgical Procedure".Eligible studies focused on orthopaedic or spinal surgical education,employed wet or dry lab techniques,and assessed training effectiveness.Exclusion criteria consisted of non-English publications,abstracts only,non-orthopaedic research,and studies unrelated to simulation.Two reviewers independently screened titles,abstracts,and full texts,resolving discrepancies with a third reviewer.RESULTS From 1851 records,101 studies met inclusion:78 on dry labs,7 on wet labs,4 on both.Virtual reality(VR)simulations were most common,with AI increasingly used for feedback and assessment.Cadaveric training remains the gold standard for accuracy and tactile feedback,while dry labs-especially VR-offer scalability,lower cost(40%-60%savings in five studies),and accessibility for novices.Senior residents prefer wet labs for complex tasks;juniors favour dry labs for basics.Challenges include limited transferability data,lack of standard outcome metrics,and ethical concerns about cadaver use and AI assessment.CONCLUSION Wet and dry labs each have unique strengths in orthopaedic training.A hybrid approach combining both,supported by standardised assessments and outcome studies,is most effective.Future efforts should aim for uniform reporting,integrating new technologies,and policy support for hybrid curricula to enhance skills and patient care. 展开更多
关键词 Orthopaedic education Wet lab Dry lab Simulation training Virtual reality Surgical procedure
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Advances in the application of virtual reality technology in ophthalmic surgical skills training
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作者 Jia-Wen Wei Qing Zhang +4 位作者 Xiao-Yan Wang Ming-Xue Huang Jin-Hua Gan Wei-Hua Yang Wei Chi 《International Journal of Ophthalmology(English edition)》 2026年第2期393-404,共12页
Conventional surgical teaching techniques face several challenges,highlighting a necessity for ongoing innovation in ophthalmology education to align with the evolving demands of clinical practice.The recent rapid adv... Conventional surgical teaching techniques face several challenges,highlighting a necessity for ongoing innovation in ophthalmology education to align with the evolving demands of clinical practice.The recent rapid advancement of computer technology has enabled the integration of virtual reality(VR)into medical training,thereby revolutionizing ophthalmic surgical education through VRbased educational methods.VR technology offers a safe,risk-free environment for trainees to practice repeatedly,enhancing surgical skills and accelerating the learning curve without compromising patient safety.This research outlines the application of VR technology in ophthalmic surgical skills training,particularly in cataract and vitreoretinal surgery.Including assessing the effectiveness of intraocular surgery training systems,evaluating skills transfer to the operating room,comparing it with wet lab cataract surgery training,and enhancing non-dominant hand training for cataract surgery,among other aspects.Additionally,this paper will identify the limitations of VR technology in ocular surgical skills training,offer improvement strategies,and detail the advantages and prospects,with the objective of guiding subsequent researchers. 展开更多
关键词 virtual reality OPHTHALMOLOGY ophthalmic surgical skills training surgical simulation cataract surgery vitreoretinal surgery
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Changing Tracks--The new CR450 train, currently in the testing phase, reaches speeds of 450 km/h thanks to technological advances
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作者 GE LIJUN 《ChinAfrica》 2026年第1期51-51,共1页
Safer,smarter,faster...In China,people prefer high-speed trains to flights if the journey time is under five hours.High-speed train travel is set to become even more attractive with the addition of a new member to the... Safer,smarter,faster...In China,people prefer high-speed trains to flights if the journey time is under five hours.High-speed train travel is set to become even more attractive with the addition of a new member to the high-speed train family:the CR450,the world’s fastest electric multiple unit(EMU). 展开更多
关键词 journey time electric multiple unit CR high speed trains FLIGHTS electric multiple unit emu
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商业银行基于Group Training技术的小样本学习应用研究
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作者 吴永飞 寿弘宇 +3 位作者 王彦博 魏文术 徐奇 张月 《金融科技时代》 2025年第3期16-22,共7页
人工智能是推动社会进步和经济发展的关键力量。商业银行已经在诸多业务领域广泛使用人工智能技术,如精准营销、智能风控、智慧运营等业务领域。然而,有些业务场景在“冷启动”阶段面临样本量不足,并且坏样本量极少的小样本学习问题,这... 人工智能是推动社会进步和经济发展的关键力量。商业银行已经在诸多业务领域广泛使用人工智能技术,如精准营销、智能风控、智慧运营等业务领域。然而,有些业务场景在“冷启动”阶段面临样本量不足,并且坏样本量极少的小样本学习问题,这导致现有的人工智能技术可能失效。基于此,文章创新提出了一种Group Training(群组训练)建模思路,可以有效解决小样本学习问题。实证结果表明,Group Training建模方案在多个金融数据集上效果均明显优于传统的建模方案,这为商业银行小样本学习提供了新的研究思路和解决方案。 展开更多
关键词 人工智能 小样本学习 Group Learning Group training
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基于时差的多输出tri-training异构软测量建模 被引量:2
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作者 王大芬 唐莉丽 +3 位作者 张鑫焱 聂春雨 李明珠 吴菁 《化工学报》 北大核心 2025年第3期1143-1155,共13页
软测量技术为工业过程中重要变量及难测变量的预测提供了一个有效的解决办法。然而,由于工业过程的复杂化和高昂的数据获取成本,使得标记数据与未标记数据分布不平衡。此时,构建高性能的软测量模型成为一个挑战。针对这一问题,提出了一... 软测量技术为工业过程中重要变量及难测变量的预测提供了一个有效的解决办法。然而,由于工业过程的复杂化和高昂的数据获取成本,使得标记数据与未标记数据分布不平衡。此时,构建高性能的软测量模型成为一个挑战。针对这一问题,提出了一种基于时差的多输出tri-training异构软测量方法。通过构建一种新的tri-training框架,采用多输出的高斯过程回归(multi-output Gaussian process regression,MGPR)、相关向量机(multi-output relevance vector machine,MRVM)、最小二乘支持向量机(multi-output least squares support vector machine,MLSSVM)三种模型作为基线监督回归器,使用标记数据进行训练和迭代;同时,引入时间差分(time difference,TD)改进模型的动态特性,并通过卡尔曼滤波(Kalman filtering,KF)优化模型的参数,提高其预测性能;最后通过模拟污水处理平台(benchmark simulation model 1,BSM1)和实际污水处理厂对该模型进行了验证。结果表明,与传统的软测量建模方法相比,该模型能显著提高数据分布不平衡下软测量模型的自适应性和预测性能。 展开更多
关键词 TRI-trainING 软测量 时间差分 协同训练 集成 预测 过程控制
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Effects of exercise-cognitive dual-task training on elderly patients with cognitive frailty and depression 被引量:2
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作者 Ying Zhou Xiao-Ming Miao +4 位作者 Kai-Lian Zhou Cheng-Ji Yu Ping Lu Yin Lu Juan Zhao 《World Journal of Psychiatry》 2025年第4期149-159,共11页
BACKGROUND Cognitive frailty and depression are prevalent among the elderly,significantly impairing physical and cognitive functions,psychological well-being,and quality of life.Effective interventions are essential t... BACKGROUND Cognitive frailty and depression are prevalent among the elderly,significantly impairing physical and cognitive functions,psychological well-being,and quality of life.Effective interventions are essential to mitigate these adverse effects and enhance overall health outcomes in this population.AIM To evaluate the effects of exercise-cognitive dual-task training on frailty,cognitive function,psychological status,and quality of life in elderly patients with cognitive frailty and depression.METHODS A retrospective study was conducted on 130 patients with cognitive frailty and depression admitted between December 2021 and December 2023.Patients were divided into a control group receiving routine intervention and an observation group undergoing exercise-cognitive dual-task training in addition to routine care.Frailty,cognitive function,balance and gait,psychological status,and quality of life were assessed before and after the intervention.RESULTS After the intervention,the frailty score of the observation group was(5.32±0.69),lower than that of the control group(5.71±0.55).The Montreal cognitive assessment basic scale score in the observation group was(24.06±0.99),higher than the control group(23.43±1.40).The performance oriented mobility assessment score in the observation group was(21.81±1.24),higher than the control group(21.15±1.26).The self-efficacy in the observation group was(28.27±2.66),higher than the control group(30.05±2.66).The anxiety score in the hospital anxiety and depression scale(HADS)for the observation group was(5.86±0.68),lower than the control group(6.21±0.64).The depression score in the HADS for the observation group was(5.67±0.75),lower than the control group(6.27±0.92).Additionally,the scores for each dimension of the 36-item short form survey in the observation group were higher than those in the control group,with statistically significant differences(P<0.05).CONCLUSION Exercise-cognitive dual-task training is beneficial for improving frailty,enhancing cognitive function,and improving psychological status and quality of life in elderly patients with cognitive frailty and depression. 展开更多
关键词 Exercise-cognitive dual-task training Elderly patients Cognitive frailty Depression patients Frailty score Cognitive function
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Research on optimization and evaluation method of heavy-haul train cyclic braking manipulation 被引量:1
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作者 Wen He Chongyi Chang +1 位作者 Lan Li Yupan Song 《Railway Sciences》 2025年第2期231-248,共18页
Purpose–The study aims to build a high-precision longitudinal dynamics model for heavy-haul trains and validate it with line test data,present an optimization method for multi-stage cyclic brakes based on the model a... Purpose–The study aims to build a high-precision longitudinal dynamics model for heavy-haul trains and validate it with line test data,present an optimization method for multi-stage cyclic brakes based on the model and conduct a multi-objective detailed evaluation of the driver’s manipulation during cyclic braking.Design/methodology/approach–The high-precision longitudinal train dynamics model was established and verified by the cyclic braking test data of the 20,000 t heavy-haul combination train on the long and steep downgrade.Then the genetic algorithm is employed for optimization subsequent to decoupling multiple cyclic braking procedures,with due consideration of driver operation rules.For evaluation,key manipulation assessments in the scenario are prioritized,supplemented by multi-objective evaluation requirements,and the computational model is employed for detailed evaluation analysis.Findings–Based on the model,experimental data reveal that the probability of longitudinal force error being less than 64.6 kN is approximately 68%,95%for less than 129.2 kN and 99.7%for less than 193.8 kN.Upon optimizing manipulations during the cyclic braking,the maximum reduction in coupler force spans from 21%∼23.9%.Andtheevaluation scoresimply that a proper elevationof the releasingspeed favorssafety.A high electric braking force,although beneficial to some extent for energy-saving,is detrimental to reducing coupler force.Originality/value–The results will provide a theoretical basis and practical guidance for further ensuring the safety and energy-efficient operation of heavy haul trains on long downhill sections and improving the operational quality of heavy-haul trains. 展开更多
关键词 Heavy-haul trains Longitudinal train dynamics Cyclic brake Manipulation optimization Detailed manipulation evaluation
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Intelligent human-computer interactive training assistant system for rail systems 被引量:1
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作者 Yuexuan Li Junhua Chen +1 位作者 Xiangyong Luo Han Zheng 《High-Speed Railway》 2025年第1期64-77,共14页
In recent years,railway construction in China has developed vigorously.With continuous improvements in the highspeed railway network,the focus is gradually shifting from large-scale construction to large-scale operati... In recent years,railway construction in China has developed vigorously.With continuous improvements in the highspeed railway network,the focus is gradually shifting from large-scale construction to large-scale operations.However,several challenges have emerged within the high-speed railway dispatching and command system,including the heavy workload faced by dispatchers,the difficulty of quantifying subjective expertise,and the need for effective training of professionals.Amid the growing application of artificial intelligence technologies in railway systems,this study leverages Large Language Model(LLM)technology.LLMs bring enhanced intelligence,predictive capabilities,robust memory,and adaptability to diverse real-world scenarios.This study proposes a human-computer interactive intelligent scheduling auxiliary training system built on LLM technology.The system offers capabilities including natural dialogue,knowledge reasoning,and human feedback learning.With broad applicability,the system is suitable for vocational education,guided inquiry,knowledge-based Q&A,and other training scenarios.Validation results demonstrate its effectiveness in auxiliary training,providing substantial support for educators,students,and dispatching personnel in colleges and professional settings. 展开更多
关键词 High-speed railway Dispatch training assistance Large language model Human-computer interactive training assistant system Reinforcement learning
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Anti-obesity drugs alone or combined with exercise training in the management of obesity:a systematic review with meta-analysis 被引量:1
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作者 Bruna Marmett Igor da Silva +1 位作者 Fabio Lira Gilson Dorneles 《Translational Exercise Biomedicine》 2025年第1期51-62,共12页
Here we compare the efficacy of anti-obesity drugs alone or combined with exercise training on body weight and exercise capacity of obese patients.Randomized clinical trials that assessed the impact of any anti-obesit... Here we compare the efficacy of anti-obesity drugs alone or combined with exercise training on body weight and exercise capacity of obese patients.Randomized clinical trials that assessed the impact of any anti-obesity drug alone or combined with exercise training on body weight,body fat,fat-free mass and cardiorespiratory fitness in obese patients were retrieved from Pubmed and EMBASE up to May 2024.Risk of bias assessment was performed with RoB 2.0,and the GRADE approach assessed the certainty of evidence(CoE)of each main outcome.We included four publications summing up 202 patients.Two publications used orlistat as an anti-obesity drug treatment,while the other two adopted GLP-1 receptor agonist(liraglutide or tirzepatide)as a pharmacotherapy for weight management.Orlistat combined with exercise was superior to change body weight(mean difference(MD):−2.27 kg;95%CI:−2.86 to−1.69;CoE:very low),fat mass(MD:−2.89;95%CI:−3.87 to−1.91;CoE:very low),fat-free mass(MD:0.56;95%CI:0.40–0.72;CoE:very low),and VO_(2)Peak(MD:2.64;95%CI:2.52–2.76;CoE:very low).GLP-1 receptor agonist drugs combined with exercise had a great effect on body weight(MD:−3.96 kg;95%CI:−5.07 to−2.85;CoE:low),fat mass(MD:−1.76;95%CI:−2.24 to−1.27;CoE:low),fat-free mass(MD:0.50;95%CI:−0.98 to 1.98;CoE:very low)and VO_(2)Peak(MD:2.47;95%CI:1.31–3.63;CoE:very low).The results reported here suggest that exercise training remains an important approach in weight management when combined with pharmacological treatment. 展开更多
关键词 body weight PHARMACOTHERAPY physical training OBESITY
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A Surrogate-assisted Multi-objective Grey Wolf Optimizer for Empty-heavy Train Allocation Considering Coordinated Line Utilization Balance 被引量:1
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作者 Zhigang Du Shaoquan Ni +1 位作者 Jeng-Shyang Pan Shuchuan Chu 《Journal of Bionic Engineering》 2025年第1期383-397,共15页
This paper introduces the Surrogate-assisted Multi-objective Grey Wolf Optimizer(SMOGWO)as a novel methodology for addressing the complex problem of empty-heavy train allocation,with a focus on line utilization balanc... This paper introduces the Surrogate-assisted Multi-objective Grey Wolf Optimizer(SMOGWO)as a novel methodology for addressing the complex problem of empty-heavy train allocation,with a focus on line utilization balance.By integrating surrogate models to approximate the objective functions,SMOGWO significantly improves the efficiency and accuracy of the optimization process.The effectiveness of this approach is evaluated using the CEC2009 multi-objective test function suite,where SMOGWO achieves a superiority rate of 76.67%compared to other leading multi-objective algorithms.Furthermore,the practical applicability of SMOGWO is demonstrated through a case study on empty and heavy train allocation,which validates its ability to balance line capacity,minimize transportation costs,and optimize the technical combination of heavy trains.The research highlights SMOGWO's potential as a robust solution for optimization challenges in railway transportation,offering valuable contributions toward enhancing operational efficiency and promoting sustainable development in the sector. 展开更多
关键词 Surrogate-assisted model Grey wolf optimizer Multi-objective optimization Empty-heavy train allocation
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SpanTrain:基于云边端异构设备的跨域分布式模型训练系统
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作者 王锦权 刘旭昭 +7 位作者 廖晓坚 肖利民 霍志胜 索珈顺 李云潼 沈润楠 谢喜龙 唐熙程 《大数据》 2025年第3期17-32,1,共17页
目前,除云计算中心外,以物联网、固定或移动计算边缘为代表的边、端侧环境中也部署了大量的智能计算设备。将深度神经网络(DNN)模型的训练任务从云计算中心拓展到边、端侧,在新应用模式支持、数据隐私保护、训练成本控制等方面具有显著... 目前,除云计算中心外,以物联网、固定或移动计算边缘为代表的边、端侧环境中也部署了大量的智能计算设备。将深度神经网络(DNN)模型的训练任务从云计算中心拓展到边、端侧,在新应用模式支持、数据隐私保护、训练成本控制等方面具有显著优势。现有的分布式模型训练系统大多针对同构设备设计,难以适应云边端异构计算环境。为此,设计了基于云边端异构设备的跨域分布式模型训练系统SpanTrain,通过一种新颖的混合流水线并行机制,实现了云边端异构设备协同的高效DNN模型训练。典型云边端异构设备环境中的实验表明,与已有的训练系统相比,SpanTrain带来了1.17~3.15倍的训练吞吐量提升,并将异构设备的资源利用率提升了39%,这充分说明了SpanTrain在云边端异构设备中进行DNN训练的高效性。 展开更多
关键词 云边端异构设备 分布式计算 模型训练 并行训练策略
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Aerodynamics and countermeasures of train-tail swaying inside single-line tunnels 被引量:1
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作者 Yadong SONG Yanpeng ZOU +2 位作者 Yuan YAO Ting QIN Longjiang SHEN 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 2025年第5期438-455,共18页
In recent years,train-tail swaying of 160 km/h electric multiple units(EMUs)inside single-line tunnels has been heavily researched,because the issue needs to be solved urgently.In this paper,a co-simulation model of v... In recent years,train-tail swaying of 160 km/h electric multiple units(EMUs)inside single-line tunnels has been heavily researched,because the issue needs to be solved urgently.In this paper,a co-simulation model of vortex-induced vibration(VIV)of the tail car body is established,and the aerodynamics of train-tail swaying is studied.The simulation results were confirmed through a field test of operating EMUs.Furthermore,the influence mechanism of train-tail swaying on the wake flow field is studied in detail through a wind-tunnel experiment and a simulation of a reduced-scaled train model.The results demonstrate that the aerodynamic force frequency(i.e.,vortex-induced frequency)of the train tail increases linearly with train speed.When the train runs at 130 km/h,with a small amplitude of train-tail swaying(within 10 mm),the vortex-induced frequency is 1.7 Hz,which primarily depends on the nose shape of the train tail.After the tail car body nose is extended,the vortex-induced frequency is decreased.As the swaying amplitude of the train tail increases(exceeding 25 mm),the separation point of the high-intensity vortex in the train wake shifts downstream to the nose tip,and the vortex-induced frequency shifts from 1.7 Hz to the nearby car body hunting(i.e.,the primary hunting)frequency of 1.3 Hz,which leads to the frequency-locking phenomenon of VIV,and the resonance intensifies train-tail swaying.For the motor vehicle of the train tail,optimization of the yaw damper to improve its primary hunting stability can effectively alleviate train-tail swaying inside single-line tunnels.Optimization of the tail car body nose shape reduces the amplitude of the vortex-induced force,thereby weakening the aerodynamic effect and solving the problem of train-tail swaying inside the single-line tunnels. 展开更多
关键词 train tail swaying wind tunnel experiment field test single line tunnels AERODYNAMICS co simulation electric multiple units emus inside vortex induced vibration
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基于Tri-training的改进算法在辅助诊断等医学领域的应用进展
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作者 乔桢 戚红 罗曦 《天津科技》 2025年第9期26-28,32,共4页
Tri-training算法是机器学习算法中的一种半监督学习算法,该算法自提出以来,不断被深入分析,其改进算法也日益丰富。介绍了Tri-training算法的原理及步骤,并以此为基础,对其应用于辅助诊断等医学领域的改进算法做了分类,分别进行系统介... Tri-training算法是机器学习算法中的一种半监督学习算法,该算法自提出以来,不断被深入分析,其改进算法也日益丰富。介绍了Tri-training算法的原理及步骤,并以此为基础,对其应用于辅助诊断等医学领域的改进算法做了分类,分别进行系统介绍分析。对Tri-training改进算法在医学领域的未来发展方向予以展望。 展开更多
关键词 TRI-trainING 半监督学习 辅助诊断 机器学习
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Additional benefits of pelvic floor proprioceptive training combined with conventional therapy in the treatment of female stress urinary incontinence
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作者 ZHANG Xiulan ZHU Liping +5 位作者 ZENG Xiaoling LIU Zhaoxue YANG Shuo ZHANG Hong YAN Wenguang LI Xuhong 《中南大学学报(医学版)》 北大核心 2025年第8期1385-1397,共13页
Objective:Stress urinary incontinence(SUI)is a common condition among women that severely impairs quality of life.Pelvic floor proprioceptive training(PFPT)has attracted increasing attention for its potential to enhan... Objective:Stress urinary incontinence(SUI)is a common condition among women that severely impairs quality of life.Pelvic floor proprioceptive training(PFPT)has attracted increasing attention for its potential to enhance pelvic floor muscle function and alleviate SUI symptoms.This study aims to observe and compare the clinical efficacy of PFPT combined with electroacupuncture,electrical stimulation,and biofeedback therapy versus conventional therapy consisting of electroacupuncture,electrical stimulation,and biofeedback alone in women with SUI,and to explore the role of PFPT in improving symptom and functional outcomes.Methods:In this randomized controlled trial,72 women with mild to moderate SUI were recruited from the Department of Rehabilitation Medicine at Third Xiangya Hospital,Central South University,between December 2021 and October 2023.Participants were randomly assigned to an experimental group(n=36)or a control group(n=36).Both groups received health education.The control group underwent electroacupuncture combined with electrical stimulation and biofeedback therapy,while the experimental group additionally received PFPT 3 times per week for 4 weeks.The primary outcome was assessed using the International Consultation on Incontinence Questionnaire-Short Form(ICIQ-SF).Secondary outcomes included pelvic floor muscle strength,bladder neck mobility,and balance ability.The ICIQ-SF was reassessed at 1,3,6,and 12 months post-treatment.Results:Both groups showed statistically significant improvements in all parameters after treatment(all P<0.05).However,there were no statistically significant differences between groups in most measures(all P>0.05).The experimental group demonstrated longer singleleg stance duration with eyes closed than the control group(left leg:P=0.026;right leg:P=0.006),with a significant increase from baseline(P<0.001).At 6 months post-treatment,the cure rate in the experimental group was significantly higher than that in the control group(P=0.037).Conclusion:Conventional therapy effectively improves SUI symptoms,but adding PFPT provides notable additional benefits,including enhanced balance ability and sustained midterm cure rates.These findings suggest that PFPT is a valuable adjunct to standard SUI management strategies. 展开更多
关键词 stress urinary incontinence pelvic floor proprioceptive training ELECTROACUPUNCTURE pelvic floor electrical stimulation pelvic floor biofeedback
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A review of artificial intelligence in train driving and control
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作者 Yunxiang Xie Huachang Yang 《Railway Sciences》 2025年第6期762-782,共21页
Purpose–In recent years,the rapid advancement of artificial intelligence(AI)has exerted profound impacts on and provided strong impetus to numerous fields in the industrial sector.Within the railway industry,AI has d... Purpose–In recent years,the rapid advancement of artificial intelligence(AI)has exerted profound impacts on and provided strong impetus to numerous fields in the industrial sector.Within the railway industry,AI has driven continuous upgrading and optimization of intelligent train control technology,thanks to its enhanced computational capabilities derived from advanced algorithms and models,as well as its role in improving safety performance.Integrating AI technology more extensively into train autonomous driving and control has thus become an inevitable trend in the global development of railways.Design/methodology/approach–This paper,therefore,conducts a comprehensive analysis of the development progress and current status of AI technology applications in the field of train driving and control on a global scale.It systematically sorts out and analyzes the advantages of various AI technologies and the positive impacts they bring to the upgrading of train control technology,elucidates the feasibility and future prospects of applying a range of emerging AI technologies from the perspective of technical theory and provides guidance for the intelligent development of this field from a practical perspective.Findings–The application of AI technology in the train driving and control field is still in its infancy.While a large number of AI technologies have been widely adopted,there remains significant room for further optimization and improvement of these technologies.Additionally,a variety of AI technologies that have been applied in other industrial sectors but not yet widely implemented in training autonomous driving and control have demonstrated tremendous development potential.Originality/value–The research findings provide references and guidance for advancing train control technology,promoting the digital transformation of railways,accelerating the overall optimization and upgrading of railway industry technologies,and facilitating the accelerated development of global railways. 展开更多
关键词 Autonomous train driving Artificial intelligence train control train safety Quantum computing
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Effects of short-and long-term exercise training on cancer cells in vitro:Insights into the mechanistic associations
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作者 Francesco Bettariga Dennis R.Taaffe +1 位作者 Daniel A.Galvão Robert U.Newton 《Journal of Sport and Health Science》 2025年第1期73-83,共11页
Exercise is a therapeutic approach in cancer treatment,providing several benefits.Moreover,exercise is associated with a reduced risk for developing a range of cancers and for their recurrence,as well as with improvin... Exercise is a therapeutic approach in cancer treatment,providing several benefits.Moreover,exercise is associated with a reduced risk for developing a range of cancers and for their recurrence,as well as with improving survival,even though the underlying mechanisms remain unclear.Preclinical and clinical evidence shows that the acute effects of a single exercise session can suppress the growth of various cancer cell lines in vitro.This suppression is potentially due to altered concentrations of hormones(e.g.,insulin)and cytokines(e.g.,tumor necrosis factor alpha and interleukin 6)after exercise.These factors,known to be involved in tumorigenesis,may explain why exercise is associated with reduced cancer incidence,recurrence,and mortality.However,the effects of short-(<8 weeks)and long-term(≥8 weeks)exercise programs on cancer cells have been reported with mixed results.Although more research is needed,it appears that interventions incorporating both exercise and diet seem to have greater inhibitory effects on cancer cell growth in both apparently healthy subjects as well as in cancer patients.Although speculative,these suppressive effects on cancer cells may be driven by changes in body weight and composition as well as by a reduction in low-grade inflammation often associated with sedentary behavior,low muscle mass,and excess fat mass in cancer patients.Taken together,such interventions could alter the systemic levels of suppressive circulating factors,leading to a less favorable environment for tumorigenesis.While regular exercise and a healthy diet may establish a more cancer-suppressive environment,each acute bout of exercise provides a further“dose”of anticancer medicine.Therefore,integrating regular exercise could potentially play a significant role in cancer management,highlighting the need for future investigations in this promising area of research. 展开更多
关键词 Resistance training Aerobic training CYTOKINES HORMONES Cancer cells
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Acceptability and impact of computerised cognitive training on mental health and cognitive skills in schizophrenia:a double-blind controlled trial
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作者 Elahe Fathi Azar Hooshang Mirzaie +1 位作者 Samaneh Hosseinzadeh Hojjat Allah Haghgoo 《General Psychiatry》 2025年第2期113-122,共10页
Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life.Pharmacological treatments have limited efficacy in addressing these deficits,h... Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life.Pharmacological treatments have limited efficacy in addressing these deficits,highlighting the need for adjunctive interventions like computerised cognitive training(CCT).Aims This study aimed to evaluate the effects of a 30-session CCT programme on mental well-being and cognitive performance in individuals with schizophrenia.Additionally,it assessed the usability and acceptability of CCT in this population.Methods A double-blind,randomised clinical trial was conducted with 54 participants assigned to intervention and control groups.Cognitive and mental health outcomes were assessed using validated tools such as the Depression Anxiety Stress Scale 21,the Warwick-Edinburgh Mental Wellbeing Scale and the Cambridge Neuropsychological Test Automated Battery.Usability was measured with the System Usability Scale(SUS).Assessments were conducted at baseline,post-intervention and 3 months post-follow-up.Results The CCT intervention significantly improved mental well-being,reduced stress and enhanced working memory(paired associate learning,spatial working memory and spatial span)compared with controls.However,no significant effects were observed for anxiety,depression or executive function.Usability scores were high(SUS=83.51),and compliance rates were strong(92.7%),indicating favourable participant engagement.Conclusion CCT demonstrated potential as an adjunctive treatment for schizophrenia,with significant improvements in targeted cognitive and mental health domains.The high usability and compliance rates support its feasibility for broader implementation.Further research is needed to optimise protocols and explore long-term benefits.CCT offers a promising approach to addressing mental health and cognitive challenges in schizophrenia,particularly for stress and working memory.Its usability and acceptability suggest it could be seamlessly integrated into clinical practice. 展开更多
关键词 cognitive deficits usability computerised cognitive training cct aims SCHIZOPHRENIA cognitive performance ACCEPTABILITY computerized cognitive training mental well being
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The Necessity and Importance of Research Training for Residents in Standardized Residency Programs
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作者 He Qian Yuanyuan Wei +4 位作者 Bingbing Chen Sanjin Zeng Jian Wang Zhaofu Li Jiayan Shen 《Journal of Contemporary Educational Research》 2025年第8期159-174,共16页
Standardized residency training programs primarily focus on developing clinical diagnostic and treatment skills,often allocating limited time to research activities.However,enhancing research skills is of paramount im... Standardized residency training programs primarily focus on developing clinical diagnostic and treatment skills,often allocating limited time to research activities.However,enhancing research skills is of paramount importance for residents,as it fosters critical thinking,problem-solving abilities,and a deeper understanding of applying scientific principles to clinical practice.This paper explores the necessity and significance of integrating research training into residency programs,emphasizing its role in cultivating well-rounded physicians capable of advancing medical knowledge.This study proposes a competency-based research training model that encompasses research literacy,study design,biostatistics,and scientific writing.Additionally,online asynchronous training modules,robust mentorship,and balanced time management strategies are recommended to enhance residents’research engagement without compromising clinical training.By implementing these measures,residency programs can improve residents’research capabilities,contributing to both individual professional growth and the broader advancement of medical science. 展开更多
关键词 Residency training Research skills Competency-based training MENTORSHIP Online learning
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Effect of Railway Spacing on Aerodynamic Performance of 600 km/h Maglev Trains Passing Each Other
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作者 Bailong Sun Tian Li +1 位作者 Deng Qin Yan Li 《Fluid Dynamics & Materials Processing》 2025年第2期371-385,共15页
High-speed maglev trains(HSMTs)can run at high running speeds due to their unique design.The pressure waves that these trains generate while passing each other are therefore very intense,and can even have safety impli... High-speed maglev trains(HSMTs)can run at high running speeds due to their unique design.The pressure waves that these trains generate while passing each other are therefore very intense,and can even have safety implications.In order to reduce the transient impact of such waves,the standard k-ε turbulence model is used in this work to assess the effect of railway spacing on the aerodynamic loads,pressure and surrounding flow field of 600 km/h maglev trains passing each other in open air.The sliding mesh technique is used to determine the relative motion between the considered trains.The results show that the surface pressure is approximately linearly correlated with the square of the speed while the amplitude of the pressure wave on the train surface,side force,and rolling moment all have negative exponential relationships with the railway spacing. 展开更多
关键词 Railway spacing maglev train aerodynamic numerical simulation two trains passing each other
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Anti-spoofing performance analysis of typical GNSS-based railway train positioning schemes
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作者 Siqi Wang Jiang Liu +3 位作者 Baigen Cai Jian Wang Debiao Lu Wei Jiang 《High-Speed Railway》 2025年第1期37-43,共7页
Global Navigation Satellite Systems(GNSSs)are vulnerable to both unintentional interference and intentional attacks,making it difficult to meet the stringent safety requirements of railway train control systems.The gr... Global Navigation Satellite Systems(GNSSs)are vulnerable to both unintentional interference and intentional attacks,making it difficult to meet the stringent safety requirements of railway train control systems.The growing threat to information security posed by spoofing attacks has received limited attention.This study investigates the impact of GNSS spoofing attacks on train positioning,emphasizing their detrimental effects on the accuracy and availability of train location report functions for train operation control.To explore the antispoofing performance of typical GNSS-based train positioning schemes,specific approaches,and system architectures are designed under two GNSS-alone and two GNSS-integrated train positioning schemes.Field data are utilized to establish spoofing attack scenarios for GNSS-based train positioning,with which the anti-spoofing capabilities of different train positioning schemes are evaluated.Experimental results indicate that under specific conditions,the GNSS-integrated positioning schemes demonstrate superior GNSS spoofing suppression capabilities.Results of the tests present valuable guidance for designers and manufacturers in developing more advanced and resilient train positioning solutions and equipment for the next generation of train control systems,thereby promoting the applications of GNSS technology in railway systems. 展开更多
关键词 Railway train control Global navigation satellite system train positioning Interference attack Anti-spoofing
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