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
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
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
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
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
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
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
Purpose We aimed to determine:(a)the chronic effects of interval training(IT)combined with blood flow restriction(BFR)on physiological adaptations(aerobic/anaerobic capacity and muscle responses)and performance enhanc...Purpose We aimed to determine:(a)the chronic effects of interval training(IT)combined with blood flow restriction(BFR)on physiological adaptations(aerobic/anaerobic capacity and muscle responses)and performance enhancement(endurance and sprints),and(b)the influence of participant characteristics and intervention protocols on these effects.Methods Searches were conducted in PubMed,Web of Science(Core Collection),Cochrane Library(Embase,ClinicalTrials.gov,and International Clinical Trials Registry Platform),and Chinese National Knowledge Infrastructure on April 2,with updates on October 17,2024.Pooled effects for each outcome were summarized using Hedge's g(g)through meta-analysis-based random effects models,and subgroup and regression analyses were used to explore moderators.Results A total of 24 studies with 621 participants were included.IT combined with BFR(IT+BFR)significantly improved maximal oxygen uptake(VO2_(max))(g=0.63,I^(2)=63%),mean power during the Wingate 30-s test(g=0.70,I^(2)=47%),muscle strength(g=0.88,I^(2)=64%),muscle endurance(g=0.43,I^(2)=0%),time to fatigue(g=1.26,I^(2)=86%),and maximal aerobic speed(g=0.74,I^(2)=0%)compared to IT alone.Subgroup analysis indicated that participant characteristics including training status,IT intensity,and IT modes significantly moderated VO2_(max)(subgroup differences:p<0.05).Specifically,IT+BFR showed significantly superior improvements in VO2_(max)compared to IT alone in trained individuals(g=0.76)at supra-maximal intensity(g=1.29)and moderate intensity(g=1.08)as well as in walking(g=1.64)and running(g=0.63)modes.Meta-regression analysis showed cuff width(β=0.14)was significantly associated with VO2_(max)change,identifying 8.23 cm as the minimum threshold required for significant improvement.Subgroup analyses regarding muscle strength did not reveal any significant moderators.Conclusion IT+BFR enhances physiological adaptations and optimizes aspects of endurance performance,with moderators including training status,IT protocol(intensity,mode,and type),and cuff width.This intervention addresses various IT-related challenges and provides tailored protocols and benefits for diverse populations.展开更多
This paper reports a case of cerebral stem infarction with quadriplegia and complete dependence on daily life.The course of the disease lasted more than 7 months.Frenchay's improved articulation Disorder Assessmen...This paper reports a case of cerebral stem infarction with quadriplegia and complete dependence on daily life.The course of the disease lasted more than 7 months.Frenchay's improved articulation Disorder Assessment Form has been assessed as severe articulation disorder.The patient has significantly improved his speech function and quality of life after systematic head control training,respiratory function training,articulation motor training,and articulation training.In the course of treatment,emphasis was placed on head postural control training and respiratory function training,and emphasis was placed on the strength and coordination training of articulatory organs,and the results were remarkable.After the patient was discharged from the hospital,the follow-up of basic daily life communication was not limited.展开更多
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
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
Objective:The objective of this study is to develop and evaluate a structured clinical rotation-based emergency response training program to enhance nurses’emergency competence,theoretical knowledge,and technical ski...Objective:The objective of this study is to develop and evaluate a structured clinical rotation-based emergency response training program to enhance nurses’emergency competence,theoretical knowledge,and technical skills.Methods:A comprehensive emergency training program was developed,and a randomized controlled trial was implemented from June 2022 to May 2023 at a tertiary general hospital in Chongqing,China.The study involved 214 nurses,with 106 participants in the intervention group receiving a 3-month innovative emergency response competence training and 108 in the control group undergoing conventional training.Postintervention assessments evaluated emergency response capabilities using the Emergency Response Ability Assessment Scale for Nurses in Public Health Emergencies,theoretical knowledge through a self-designed comprehensive theoretical assessment instrument,technical skills using a standardized skill assessment form,and training satisfaction through two distinct feedback instruments.Results:The emergency response ability scores were significantly higher in the intervention group compared to controls(3.99±0.18 vs.2.53±0.25,P<0.05).Theoretical assessment scores showed marked improvement in the intervention group versus the control group(85.31±4.40 vs.52.45±6.19,P<0.05).Technical skill performance was significantly better in the intervention group than that in controls(94.47±1.64 vs.86.39±2.36,P<0.05).Training satisfaction was higher among intervention group nurses compared to controls(4.53±0.23 vs.4.00±0.38,P<0.05),with nursing managers also reporting greater satisfaction with the intervention program versus conventional training(4.57±0.49 vs.3.92±0.79,P<0.05).Conclusion:The clinical rotation-based structured emergency response training program effectively enhances nurses’emergency competencies,theoretical knowledge,and technical skills.These findings provide both theoretical foundations and practical guidelines for developing emergency response and specialized nursing competence training programs.展开更多
Endoscopic ultrasound(EUS)is an indispensable tool for the diagnosis and management of various diseases,particularly biliopancreatic disorders,as it provides detailed visualization of the gastrointestinal tract and su...Endoscopic ultrasound(EUS)is an indispensable tool for the diagnosis and management of various diseases,particularly biliopancreatic disorders,as it provides detailed visualization of the gastrointestinal tract and surrounding structures.As the demand for diagnostic and interventional EUS procedures increases,ensuring high-quality training for endoscopists is essential to improve patient outcomes.This mini-review provides an overview of the current state of EUS training and emphasizes the importance of a structured approach that integrates theoretical knowledge and hands-on experience.We discuss different training methods,focusing on the main courses available worldwide,and highlight their advantages and limitations.In addition,we examine the challenges of training for diagnostic and interventional EUS,such as limited access to training centers and the need for personalized feedback.Overall,improving EUS training programs is essential to enhance physician skills and ensure this advanced technique is used safely and efficiently in clinical practice.展开更多
Digital economy has become a new driving force for China’s economic growth,continuously boosting economic development and rapidly integrating into various fields of China’s economy and society.The advent of the digi...Digital economy has become a new driving force for China’s economic growth,continuously boosting economic development and rapidly integrating into various fields of China’s economy and society.The advent of the digital economy era has reshaped the development pattern of the financial industry.The rapid development of financial technology has promoted the transformation of financial formats and put forward higher requirements for financial talent training in the new era.Digital finance is not only a key part of the transformation and upgrading of China’s financial industry but also an integral component of China’s modern financial ecosystem.Against the backdrop of the digital economy,cultivating digital finance talents in vocational colleges is of great significance to China’s economic development.This paper analyzes the predicaments faced in digital finance talent training,explores in depth the reform of digital finance talent training modes,and proposes policy suggestions for the digital finance talent training system based on the development characteristics of digital finance.展开更多
High dropout rates in short-term job skills training programs hinder workforce development.This study applies machine learning to predict program completion while addressing class imbalance challenges.A dataset of6548...High dropout rates in short-term job skills training programs hinder workforce development.This study applies machine learning to predict program completion while addressing class imbalance challenges.A dataset of6548 records with 24 demographic,educational,program-specific,and employment-related features was analyzed.Data preprocessing involved cleaning,encoding categorical variables,and balancing the dataset using the Synthetic Minority Oversampling Technique(SMOTE),as only 15.9% of participants were dropouts.six machine learning models-Logistic Regression,Random Forest,SupportVector Machine,K-Nearest Neighbors,Naive Bayes,and XGBoost-were evaluated on both balanced and unbalanced datasets using an 80-20 train-test split.Performance was assessed using Accuracy,Precision,Recall,F1-score,and ROC-AUC.XGBoost achieved the highest performance on the balanced dataset,with an F1-score of 0.9200 and aROC-AUC of0.9684,followed by Random Forest.These findings highlight the potential of machine learning for early identification of dropout trainees,aiding in retention strategies for workforce training.The results support the integration of predictive analytics to optimize intervention efforts in short-term training programs.展开更多
The international development of the petroleum industry has posed an urgent demand for the internationalization capabilities of both academic and professional master’s students.However,there is currently a shortage o...The international development of the petroleum industry has posed an urgent demand for the internationalization capabilities of both academic and professional master’s students.However,there is currently a shortage of such talent in the petroleum energy sector,along with a lack of a collaborative training system.Based on this,this study focuses on featured disciplines in the petroleum energy sector and systematically constructs an international talent training model centered around the“five-element synergy”of“government-school-enterprise-teacher-student.”Firstly,it defines the connotations of the five-element synergy:“government(strategic guidance)-school(platform support)-enterprise(demand verification)-teacher(leading transformation)-student(practical co-creation).”Secondly,it sets distinct training objectives for academic(focusing on academic innovation)and professional(emphasizing engineering practice)master’s students.Furthermore,it constructs a“categorized and layered,progressive and collaborative”curriculum system,builds an international faculty team through a“recruitment+training”dual-path approach,and cultivates students’sense of professional mission to“contribute to the nation’s energy sector”through a“macro+micro”perspective.This model provides a practical pathway for international talent training in the petroleum energy sector and holds significant importance for enhancing the overseas competitiveness of petroleum enterprises and safeguarding national energy security.展开更多
Objective:To investigate the effects of robot-assisted training on upper limb function in elderly stroke patients.Methods:Seventy elderly stroke patients treated in the Rehabilitation Medicine Department of Jiangsu Pr...Objective:To investigate the effects of robot-assisted training on upper limb function in elderly stroke patients.Methods:Seventy elderly stroke patients treated in the Rehabilitation Medicine Department of Jiangsu Provincial Organ Hospital from January 2023 to December 2023 were randomly divided into an intervention group(n=35)and a control group(n=35).In addition to conventional rehabilitation and nursing care,both groups received 40 minutes of daily upper limb training.The control group underwent entirely manual training,whereas the intervention group received a combination of 20 minutes of manual and 20 minutes of robot-assisted training.All participants completed this protocol five times weekly for four weeks,with assessments of upper limb motor function and activities of daily living(ADL)conducted pre-and post-intervention.Results:After treatment,both groups showed significant increases in Fugl-Meyer Assessment(FMA-UE)and Barthel Index(BI)scores compared to before treatment(p<0.01).The intervention group had higher FMA-UE scores than the control group(p<0.05),while there was no significant difference in BI scores between the two groups after treatment(p>0.05).Conclusion:Robot-assisted training can improve upper limb motor function and enhance ADL capabilities in elderly stroke patients.展开更多
As a crucial assessment tool,the Mini Clinical Evaluation Exercise(Mini-CEX)has gradually garnered attention in the clinical skills training of resident physicians.With the ongoing advancement of medical education ref...As a crucial assessment tool,the Mini Clinical Evaluation Exercise(Mini-CEX)has gradually garnered attention in the clinical skills training of resident physicians.With the ongoing advancement of medical education reform,Mini-CEX not only offers a fresh perspective for evaluating the clinical competence of resident physicians but also establishes a foundation for enhancing their overall quality and professional capabilities.Nonetheless,there are still certain constraints in the application of Mini-CEX,including inconsistent assessment criteria,assessor subjectivity,and inadequate feedback mechanisms.This paper will review relevant domestic and international studies,explore the practical application of Mini-CEX in standardized resident physician training,analyze its strengths and weaknesses in assessing clinical ability,and propose recommendations for future development directions.Through a thorough examination of this field,it aims to provide references and guidance for further optimizing the training model for resident physicians.展开更多
In the research and production of fluorinated materials,large volumes of unstructured textual data are generated,characterized by high heterogeneity and fragmentation.These issues hinder systematic knowledge integrati...In the research and production of fluorinated materials,large volumes of unstructured textual data are generated,characterized by high heterogeneity and fragmentation.These issues hinder systematic knowledge integration and efficient utilization.Constructing a knowledge graph for fluorinated materials processing is essential for enabling structured knowledge management and intelligent applications.Among its core components,Named Entity Recognition(NER)plays an essential role,as its accuracy directly impacts relation extraction and semantic modeling,which ultimately affects the knowledge graph construction for fluorinated materials.However,NER in this domain faces challenges such as fuzzy entity boundaries,inconsistent terminology,and a lack of high-quality annotated corpora.To address these problems,(i)We first construct a domain-specific NER dataset by combining manual annotation with an improved Easy Data Augmentation(EDA)strategy;(ii)Secondly,we propose a novel model,RRC-ADV,which integrates RoBERTa-wwm for dynamic contextual word representation,adversarial training to improve robustness against boundary ambiguity,and a Residual BiLSTM(ResBiLSTM)to enhance sequential feature modeling.Further,a Conditional Random Field(CRF)layer is incorporated for globally optimized label prediction.Experimental results demonstrate that RRC-ADV achieves an average F1 score of 89.23%on the self-constructed dataset,significantly outperforming baseline models.The model exhibits strong robustness and adaptability within the domain of fluorinated materials.Our work enhances the accuracy of NER in the fluorinated materials processing domain and paves the way for downstream tasks such as relation extraction in knowledge graph construction.展开更多
文摘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.
基金Research on the Construction of a Course Ideological and Political Education System and Evaluation Framework for the“Traditional Chinese Medicine Internal Medicine”Course(Project No.:2025J0459)Open Research Fund Program of Yunnan Key Laboratory of Integrated Traditional Chinese(Project No.:CWCD2023-002,CWCD2023-003&CWCD2023-009)+2 种基金Western Medicine for Chronic Disease in Prevention and TreatmentYunnan 047 Key Laboratory of Yi Dai Medicine and Yi Medicine(Project No.:2024SS24047)Yunnan 025 Key Laboratory of Yi Dai Medicine and Yi Medicine(Project No.:2024SS24025)。
文摘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.
文摘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。
基金supported by Brazilian agencies CAPES(Finance Code 001)CNPq through PQ productivity scholarship.
文摘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.
文摘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.
文摘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.
基金supported by the Natural Science Foundation of Hunan Province(2024JJ8121,2024JJ6626)the Hunan Provincial Key Research and Development Program(2023SK2038),China.
文摘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.
文摘Purpose We aimed to determine:(a)the chronic effects of interval training(IT)combined with blood flow restriction(BFR)on physiological adaptations(aerobic/anaerobic capacity and muscle responses)and performance enhancement(endurance and sprints),and(b)the influence of participant characteristics and intervention protocols on these effects.Methods Searches were conducted in PubMed,Web of Science(Core Collection),Cochrane Library(Embase,ClinicalTrials.gov,and International Clinical Trials Registry Platform),and Chinese National Knowledge Infrastructure on April 2,with updates on October 17,2024.Pooled effects for each outcome were summarized using Hedge's g(g)through meta-analysis-based random effects models,and subgroup and regression analyses were used to explore moderators.Results A total of 24 studies with 621 participants were included.IT combined with BFR(IT+BFR)significantly improved maximal oxygen uptake(VO2_(max))(g=0.63,I^(2)=63%),mean power during the Wingate 30-s test(g=0.70,I^(2)=47%),muscle strength(g=0.88,I^(2)=64%),muscle endurance(g=0.43,I^(2)=0%),time to fatigue(g=1.26,I^(2)=86%),and maximal aerobic speed(g=0.74,I^(2)=0%)compared to IT alone.Subgroup analysis indicated that participant characteristics including training status,IT intensity,and IT modes significantly moderated VO2_(max)(subgroup differences:p<0.05).Specifically,IT+BFR showed significantly superior improvements in VO2_(max)compared to IT alone in trained individuals(g=0.76)at supra-maximal intensity(g=1.29)and moderate intensity(g=1.08)as well as in walking(g=1.64)and running(g=0.63)modes.Meta-regression analysis showed cuff width(β=0.14)was significantly associated with VO2_(max)change,identifying 8.23 cm as the minimum threshold required for significant improvement.Subgroup analyses regarding muscle strength did not reveal any significant moderators.Conclusion IT+BFR enhances physiological adaptations and optimizes aspects of endurance performance,with moderators including training status,IT protocol(intensity,mode,and type),and cuff width.This intervention addresses various IT-related challenges and provides tailored protocols and benefits for diverse populations.
基金Teaching and Research Project of Anhui Urban Management Vocational College(Project No.:2024kfkc001)。
文摘This paper reports a case of cerebral stem infarction with quadriplegia and complete dependence on daily life.The course of the disease lasted more than 7 months.Frenchay's improved articulation Disorder Assessment Form has been assessed as severe articulation disorder.The patient has significantly improved his speech function and quality of life after systematic head control training,respiratory function training,articulation motor training,and articulation training.In the course of treatment,emphasis was placed on head postural control training and respiratory function training,and emphasis was placed on the strength and coordination training of articulatory organs,and the results were remarkable.After the patient was discharged from the hospital,the follow-up of basic daily life communication was not limited.
基金supported by a grant from University of Social Welfare and Rehabilitation Sciences for the research expenses.
文摘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.
基金the Talent Fund of Beijing Jiaotong University(Grant No.2024XKRC055).
文摘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.
基金supported by a research grant from the Medical Research Program of Chongqing University Three Gorges Hospital(No.2022YJKYXM-017).
文摘Objective:The objective of this study is to develop and evaluate a structured clinical rotation-based emergency response training program to enhance nurses’emergency competence,theoretical knowledge,and technical skills.Methods:A comprehensive emergency training program was developed,and a randomized controlled trial was implemented from June 2022 to May 2023 at a tertiary general hospital in Chongqing,China.The study involved 214 nurses,with 106 participants in the intervention group receiving a 3-month innovative emergency response competence training and 108 in the control group undergoing conventional training.Postintervention assessments evaluated emergency response capabilities using the Emergency Response Ability Assessment Scale for Nurses in Public Health Emergencies,theoretical knowledge through a self-designed comprehensive theoretical assessment instrument,technical skills using a standardized skill assessment form,and training satisfaction through two distinct feedback instruments.Results:The emergency response ability scores were significantly higher in the intervention group compared to controls(3.99±0.18 vs.2.53±0.25,P<0.05).Theoretical assessment scores showed marked improvement in the intervention group versus the control group(85.31±4.40 vs.52.45±6.19,P<0.05).Technical skill performance was significantly better in the intervention group than that in controls(94.47±1.64 vs.86.39±2.36,P<0.05).Training satisfaction was higher among intervention group nurses compared to controls(4.53±0.23 vs.4.00±0.38,P<0.05),with nursing managers also reporting greater satisfaction with the intervention program versus conventional training(4.57±0.49 vs.3.92±0.79,P<0.05).Conclusion:The clinical rotation-based structured emergency response training program effectively enhances nurses’emergency competencies,theoretical knowledge,and technical skills.These findings provide both theoretical foundations and practical guidelines for developing emergency response and specialized nursing competence training programs.
文摘Endoscopic ultrasound(EUS)is an indispensable tool for the diagnosis and management of various diseases,particularly biliopancreatic disorders,as it provides detailed visualization of the gastrointestinal tract and surrounding structures.As the demand for diagnostic and interventional EUS procedures increases,ensuring high-quality training for endoscopists is essential to improve patient outcomes.This mini-review provides an overview of the current state of EUS training and emphasizes the importance of a structured approach that integrates theoretical knowledge and hands-on experience.We discuss different training methods,focusing on the main courses available worldwide,and highlight their advantages and limitations.In addition,we examine the challenges of training for diagnostic and interventional EUS,such as limited access to training centers and the need for personalized feedback.Overall,improving EUS training programs is essential to enhance physician skills and ensure this advanced technique is used safely and efficiently in clinical practice.
文摘Digital economy has become a new driving force for China’s economic growth,continuously boosting economic development and rapidly integrating into various fields of China’s economy and society.The advent of the digital economy era has reshaped the development pattern of the financial industry.The rapid development of financial technology has promoted the transformation of financial formats and put forward higher requirements for financial talent training in the new era.Digital finance is not only a key part of the transformation and upgrading of China’s financial industry but also an integral component of China’s modern financial ecosystem.Against the backdrop of the digital economy,cultivating digital finance talents in vocational colleges is of great significance to China’s economic development.This paper analyzes the predicaments faced in digital finance talent training,explores in depth the reform of digital finance talent training modes,and proposes policy suggestions for the digital finance talent training system based on the development characteristics of digital finance.
文摘High dropout rates in short-term job skills training programs hinder workforce development.This study applies machine learning to predict program completion while addressing class imbalance challenges.A dataset of6548 records with 24 demographic,educational,program-specific,and employment-related features was analyzed.Data preprocessing involved cleaning,encoding categorical variables,and balancing the dataset using the Synthetic Minority Oversampling Technique(SMOTE),as only 15.9% of participants were dropouts.six machine learning models-Logistic Regression,Random Forest,SupportVector Machine,K-Nearest Neighbors,Naive Bayes,and XGBoost-were evaluated on both balanced and unbalanced datasets using an 80-20 train-test split.Performance was assessed using Accuracy,Precision,Recall,F1-score,and ROC-AUC.XGBoost achieved the highest performance on the balanced dataset,with an F1-score of 0.9200 and aROC-AUC of0.9684,followed by Random Forest.These findings highlight the potential of machine learning for early identification of dropout trainees,aiding in retention strategies for workforce training.The results support the integration of predictive analytics to optimize intervention efforts in short-term training programs.
基金Key Project of Postgraduate Education and Teaching Reform and Research at Southwest Petroleum University(2022JG003)Degree and Postgraduate Education Research Project at Association of Chinese Graduate Education(2020MSA346)+1 种基金Sichuan Provincial Society for Degree and Graduate Education(2023YB0406)Higher Education Teaching Reform Research Project at Southwest Petroleum University(X2021JGYB003)。
文摘The international development of the petroleum industry has posed an urgent demand for the internationalization capabilities of both academic and professional master’s students.However,there is currently a shortage of such talent in the petroleum energy sector,along with a lack of a collaborative training system.Based on this,this study focuses on featured disciplines in the petroleum energy sector and systematically constructs an international talent training model centered around the“five-element synergy”of“government-school-enterprise-teacher-student.”Firstly,it defines the connotations of the five-element synergy:“government(strategic guidance)-school(platform support)-enterprise(demand verification)-teacher(leading transformation)-student(practical co-creation).”Secondly,it sets distinct training objectives for academic(focusing on academic innovation)and professional(emphasizing engineering practice)master’s students.Furthermore,it constructs a“categorized and layered,progressive and collaborative”curriculum system,builds an international faculty team through a“recruitment+training”dual-path approach,and cultivates students’sense of professional mission to“contribute to the nation’s energy sector”through a“macro+micro”perspective.This model provides a practical pathway for international talent training in the petroleum energy sector and holds significant importance for enhancing the overseas competitiveness of petroleum enterprises and safeguarding national energy security.
基金Nanjing Medical University Science and Technology Development Fund(NMUB20240122)。
文摘Objective:To investigate the effects of robot-assisted training on upper limb function in elderly stroke patients.Methods:Seventy elderly stroke patients treated in the Rehabilitation Medicine Department of Jiangsu Provincial Organ Hospital from January 2023 to December 2023 were randomly divided into an intervention group(n=35)and a control group(n=35).In addition to conventional rehabilitation and nursing care,both groups received 40 minutes of daily upper limb training.The control group underwent entirely manual training,whereas the intervention group received a combination of 20 minutes of manual and 20 minutes of robot-assisted training.All participants completed this protocol five times weekly for four weeks,with assessments of upper limb motor function and activities of daily living(ADL)conducted pre-and post-intervention.Results:After treatment,both groups showed significant increases in Fugl-Meyer Assessment(FMA-UE)and Barthel Index(BI)scores compared to before treatment(p<0.01).The intervention group had higher FMA-UE scores than the control group(p<0.05),while there was no significant difference in BI scores between the two groups after treatment(p>0.05).Conclusion:Robot-assisted training can improve upper limb motor function and enhance ADL capabilities in elderly stroke patients.
基金Scientific Research Fund Project of China Three Gorges University(Project No.:2022kj008)Special Scientific Research Fund Project of China Three Gorges University(Project No.:2023kjzx001)。
文摘As a crucial assessment tool,the Mini Clinical Evaluation Exercise(Mini-CEX)has gradually garnered attention in the clinical skills training of resident physicians.With the ongoing advancement of medical education reform,Mini-CEX not only offers a fresh perspective for evaluating the clinical competence of resident physicians but also establishes a foundation for enhancing their overall quality and professional capabilities.Nonetheless,there are still certain constraints in the application of Mini-CEX,including inconsistent assessment criteria,assessor subjectivity,and inadequate feedback mechanisms.This paper will review relevant domestic and international studies,explore the practical application of Mini-CEX in standardized resident physician training,analyze its strengths and weaknesses in assessing clinical ability,and propose recommendations for future development directions.Through a thorough examination of this field,it aims to provide references and guidance for further optimizing the training model for resident physicians.
基金funded by the Opening Fund of Key Laboratory of Higher Education of Sichuan Province for Enterprise Informationalization and Internet of Things(No.2023WYJ06)the Yadong Wu Talent Program(No.H31225001)+1 种基金supported in part by the Defense Industrial Technology Development Program(No.JCKY2022404C001)by the Sichuan Provincial Key Lab of Process Equipment and Control’s Project(No.GK201509)。
文摘In the research and production of fluorinated materials,large volumes of unstructured textual data are generated,characterized by high heterogeneity and fragmentation.These issues hinder systematic knowledge integration and efficient utilization.Constructing a knowledge graph for fluorinated materials processing is essential for enabling structured knowledge management and intelligent applications.Among its core components,Named Entity Recognition(NER)plays an essential role,as its accuracy directly impacts relation extraction and semantic modeling,which ultimately affects the knowledge graph construction for fluorinated materials.However,NER in this domain faces challenges such as fuzzy entity boundaries,inconsistent terminology,and a lack of high-quality annotated corpora.To address these problems,(i)We first construct a domain-specific NER dataset by combining manual annotation with an improved Easy Data Augmentation(EDA)strategy;(ii)Secondly,we propose a novel model,RRC-ADV,which integrates RoBERTa-wwm for dynamic contextual word representation,adversarial training to improve robustness against boundary ambiguity,and a Residual BiLSTM(ResBiLSTM)to enhance sequential feature modeling.Further,a Conditional Random Field(CRF)layer is incorporated for globally optimized label prediction.Experimental results demonstrate that RRC-ADV achieves an average F1 score of 89.23%on the self-constructed dataset,significantly outperforming baseline models.The model exhibits strong robustness and adaptability within the domain of fluorinated materials.Our work enhances the accuracy of NER in the fluorinated materials processing domain and paves the way for downstream tasks such as relation extraction in knowledge graph construction.
