Medical image segmentation is a crucial task in clinical applications.However,obtaining labeled data for medical images is often challenging.This has led to the appeal of semi-supervised learning(SSL),a technique adep...Medical image segmentation is a crucial task in clinical applications.However,obtaining labeled data for medical images is often challenging.This has led to the appeal of semi-supervised learning(SSL),a technique adept at leveraging a modest amount of labeled data.Nonetheless,most prevailing SSL segmentation methods for medical images either rely on the single consistency training method or directly fine-tune SSL methods designed for natural images.In this paper,we propose an innovative semi-supervised method called multi-consistency training(MCT)for medical image segmentation.Our approach transcends the constraints of prior methodologies by considering consistency from a dual perspective:output consistency across different up-sampling methods and output consistency of the same data within the same network under various perturbations to the intermediate features.We design distinct semi-supervised loss regression methods for these two types of consistencies.To enhance the application of our MCT model,we also develop a dedicated decoder as the core of our neural network.Thorough experiments were conducted on the polyp dataset and the dental dataset,rigorously compared against other SSL methods.Experimental results demonstrate the superiority of our approach,achieving higher segmentation accuracy.Moreover,comprehensive ablation studies and insightful discussion substantiate the efficacy of our approach in navigating the intricacies of medical image segmentation.展开更多
Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate ...Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate this challenge,we present an enhanced semi-supervised learning approach based on the Mean Teacher framework,incorporating a novel feature loss module to maximize classification performance with limited labeled samples.The model studies show that the proposed model surpasses both the baseline Mean Teacher model and fully supervised method in accuracy.Specifically,for datasets with 20%,30%,and 40%label ratios,using a single training iteration,the model yields accuracies of 78.61%,82.21%,and 85.2%,respectively,while multiple-cycle training iterations achieves 82.09%,81.97%,and 81.59%,respectively.Furthermore,scenario-specific training schemes are introduced to support diverse deployment need.These findings highlight the potential of the proposed technique in minimizing labeling requirements and advancing intelligent blast furnace diagnostics.展开更多
Objective:To analyze the clinical effect of sensory integration training combined with cognitive training in the rehabilitation treatment of children with mental retardation.Methods:A total of 120 children with mental...Objective:To analyze the clinical effect of sensory integration training combined with cognitive training in the rehabilitation treatment of children with mental retardation.Methods:A total of 120 children with mental retardation who received rehabilitation intervention in our hospital from January 2022 to December 2025 were selected and divided into a control group and an experimental group,with 60 children in each group.The control group adopted a conventional rehabilitation training program;the experimental group adopted a combined sensory integration training and cognitive training program.The sensory integration ability,cognitive function,and daily living skills of children in the two groups were compared.Results:The sensory integration ability score of the experimental group(85.3±6.2)was significantly higher than that of the control group(72.1±7.5)(p<0.05);the cognitive function score(88.7±5.8)was significantly improved compared with that of the control group(76.4±6.9)(p<0.05);the daily living skills score(90.2±4.7)was significantly higher than that of the control group(80.5±5.3)(p<0.05).The social interaction ability of the experimental group reached 92.5%,which was significantly higher than that of the control group(81.3%)(p<0.05).Conclusion:Sensory integration training combined with cognitive training demonstrates favorable outcomes in the rehabilitation treatment of children with mental retardation,exhibiting a notable neurofunctional remodeling effect.It can optimize the multidimensional rehabilitation process,effectively enhance the comprehensive developmental potential of children,and hold significant clinical application value.展开更多
Quantitative analysis of aluminum-silicon(Al-Si)alloy microstructure is crucial for evaluating and controlling alloy performance.Conventional analysis methods rely on manual segmentation,which is inefficient and subje...Quantitative analysis of aluminum-silicon(Al-Si)alloy microstructure is crucial for evaluating and controlling alloy performance.Conventional analysis methods rely on manual segmentation,which is inefficient and subjective,while fully supervised deep learning approaches require extensive and expensive pixel-level annotated data.Furthermore,existing semi-supervised methods still face challenges in handling the adhesion of adjacent primary silicon particles and effectively utilizing consistency in unlabeled data.To address these issues,this paper proposes a novel semi-supervised framework for Al-Si alloy microstructure image segmentation.First,we introduce a Rotational Uncertainty Correction Strategy(RUCS).This strategy employs multi-angle rotational perturbations andMonte Carlo sampling to assess prediction consistency,generating a pixel-wise confidence weight map.By integrating this map into the loss function,the model dynamically focuses on high-confidence regions,thereby improving generalization ability while reducing manual annotation pressure.Second,we design a Boundary EnhancementModule(BEM)to strengthen boundary feature extraction through erosion difference and multi-scale dilated convolutions.This module guides the model to focus on the boundary regions of adjacent particles,effectively resolving particle adhesion and improving segmentation accuracy.Systematic experiments were conducted on the Aluminum-Silicon Alloy Microstructure Dataset(ASAD).Results indicate that the proposed method performs exceptionally well with scarce labeled data.Specifically,using only 5%labeled data,our method improves the Jaccard index and Adjusted Rand Index(ARI)by 2.84 and 1.57 percentage points,respectively,and reduces the Variation of Information(VI)by 8.65 compared to stateof-the-art semi-supervised models,approaching the performance levels of 10%labeled data.These results demonstrate that the proposed method significantly enhances the accuracy and robustness of quantitative microstructure analysis while reducing annotation costs.展开更多
To address the issue of scarce labeled samples and operational condition variations that degrade the accuracy of fault diagnosis models in variable-condition gearbox fault diagnosis,this paper proposes a semi-supervis...To address the issue of scarce labeled samples and operational condition variations that degrade the accuracy of fault diagnosis models in variable-condition gearbox fault diagnosis,this paper proposes a semi-supervised masked contrastive learning and domain adaptation(SSMCL-DA)method for gearbox fault diagnosis under variable conditions.Initially,during the unsupervised pre-training phase,a dual signal augmentation strategy is devised,which simultaneously applies random masking in the time domain and random scaling in the frequency domain to unlabeled samples,thereby constructing more challenging positive sample pairs to guide the encoder in learning intrinsic features robust to condition variations.Subsequently,a ConvNeXt-Transformer hybrid architecture is employed,integrating the superior local detail modeling capacity of ConvNeXt with the robust global perception capability of Transformer to enhance feature extraction in complex scenarios.Thereafter,a contrastive learning model is constructed with the optimization objective of maximizing feature similarity across different masked instances of the same sample,enabling the extraction of consistent features from multiple masked perspectives and reducing reliance on labeled data.In the final supervised fine-tuning phase,a multi-scale attention mechanism is incorporated for feature rectification,and a domain adaptation module combining Local Maximum Mean Discrepancy(LMMD)with adversarial learning is proposed.This module embodies a dual mechanism:LMMD facilitates fine-grained class-conditional alignment,compelling features of identical fault classes to converge across varying conditions,while the domain discriminator utilizes adversarial training to guide the feature extractor toward learning domain-invariant features.Working in concert,they markedly diminish feature distribution discrepancies induced by changes in load,rotational speed,and other factors,thereby boosting the model’s adaptability to cross-condition scenarios.Experimental evaluations on the WT planetary gearbox dataset and the Case Western Reserve University(CWRU)bearing dataset demonstrate that the SSMCL-DA model effectively identifies multiple fault classes in gearboxes,with diagnostic performance substantially surpassing that of conventional methods.Under cross-condition scenarios,the model attains fault diagnosis accuracies of 99.21%for the WT planetary gearbox and 99.86%for the bearings,respectively.Furthermore,the model exhibits stable generalization capability in cross-device settings.展开更多
Asparagus stem blight is a devastating crop disease,and the early detection of its pathogenic spores is essential for effective disease control and prevention.However,spore detection is still hindered by complex backg...Asparagus stem blight is a devastating crop disease,and the early detection of its pathogenic spores is essential for effective disease control and prevention.However,spore detection is still hindered by complex backgrounds,small target sizes,and high annotation costs,which limit its practical application and widespread adoption.To address these issues,a semi-supervised spore detection framework is proposed for use under complex background conditions.Firstly,a difficulty perception scoring function is designed to quantify the detection difficulty of each image region.For regions with higher difficulty scores,a masking strategy is applied,while the remaining regions are adversarial augmentation is applied to encourage the model to learn fromchallenging areasmore effectively.Secondly,a Gaussian Mixture Model is employed to dynamically adjust the allocation threshold for pseudo-labels,thereby reducing the influence of unreliable supervision signals and enhancing the stability of semi-supervised learning.Finally,the Wasserstein distance is introduced for object localization refinement,offering a more robust positioning approach.Experimental results demonstrate that the proposed framework achieves 88.9% mAP50 and 60.7% mAP50-95,surpassing the baseline method by 4.2% and 4.6%,respectively,using only 10% of labeled data.In comparison with other state-of-the-art semi-supervised detection models,the proposed method exhibits superior detection accuracy and robustness.In conclusion,the framework not only offers an efficient and reliable solution for plant pathogen spore detection but also provides strong algorithmic support for real-time spore detection and early disease warning systems,with significant engineering application potential.展开更多
Satellite image segmentation plays a crucial role in remote sensing,supporting applications such as environmental monitoring,land use analysis,and disaster management.However,traditional segmentation methods often rel...Satellite image segmentation plays a crucial role in remote sensing,supporting applications such as environmental monitoring,land use analysis,and disaster management.However,traditional segmentation methods often rely on large amounts of labeled data,which are costly and time-consuming to obtain,especially in largescale or dynamic environments.To address this challenge,we propose the Semi-Supervised Multi-View Picture Fuzzy Clustering(SS-MPFC)algorithm,which improves segmentation accuracy and robustness,particularly in complex and uncertain remote sensing scenarios.SS-MPFC unifies three paradigms:semi-supervised learning,multi-view clustering,and picture fuzzy set theory.This integration allows the model to effectively utilize a small number of labeled samples,fuse complementary information from multiple data views,and handle the ambiguity and uncertainty inherent in satellite imagery.We design a novel objective function that jointly incorporates picture fuzzy membership functions across multiple views of the data,and embeds pairwise semi-supervised constraints(must-link and cannot-link)directly into the clustering process to enhance segmentation accuracy.Experiments conducted on several benchmark satellite datasets demonstrate that SS-MPFC significantly outperforms existing state-of-the-art methods in segmentation accuracy,noise robustness,and semantic interpretability.On the Augsburg dataset,SS-MPFC achieves a Purity of 0.8158 and an Accuracy of 0.6860,highlighting its outstanding robustness and efficiency.These results demonstrate that SSMPFC offers a scalable and effective solution for real-world satellite-based monitoring systems,particularly in scenarios where rapid annotation is infeasible,such as wildfire tracking,agricultural monitoring,and dynamic urban mapping.展开更多
Background Obesity is a risk factor for developing cardiometabolic disease.Exercise training is pivotal in the treatment of obesity and is associated with reduced cardiovascular mortality.This study examined the effec...Background Obesity is a risk factor for developing cardiometabolic disease.Exercise training is pivotal in the treatment of obesity and is associated with reduced cardiovascular mortality.This study examined the effect of high-fat feeding on cardiac morphology and mitochondrial function,alongside the mitigating effects of voluntary exercise training.Methods Six-week-old male C57Bl/6 J mice commenced a high fat diet(HFD)or chow diet and were randomized to receive locked(sedentary)or unlocked(voluntary exercise training(VET))running wheels at 10 weeks of age.Mice were monitored until 30 weeks of age and euthanized for collection of tissues.Magnetic resonance imaging was performed to assess body composition,and echocardiography was performed to assess cardiac function.Results Compared with chow-fed animals,the HFD increased body weight and adiposity and decreased cardiolipins(CL)in the heart,which are required for maintaining adequate mitochondrial respiration.Importantly,VET reversed these effects and induced physiological cardiac hypertrophy.Cardiac mitochondrial respiratory chain analysis revealed decreased complexes II and IV activity following high fat feeding,while VET enhanced complex I activity,emphasizing the cardioprotective effect of exercise training in obesity.Conclusion This study uncovers mechanisms by which obesity and exercise impact cardiac mitochondrial health and suggests the mitochondria is a therapeutic target in obesity-related cardiovascular diseases.展开更多
Background:This paper aimed to systematically review the literature regarding the effects of resistance training(RT)performed at longer-muscle length(LML)versus shorter-muscle length(SML)on proxy measurements for long...Background:This paper aimed to systematically review the literature regarding the effects of resistance training(RT)performed at longer-muscle length(LML)versus shorter-muscle length(SML)on proxy measurements for longitudinal hypertrophy.Methods:We included studies that satisfied the following criteria:(1)be a resistance training intervention with a comparison of LML vs SML-RT;(2)assess both fascicle length(FL)and muscle size pre-and post-intervention;(3)involve healthy adults aged≥18 years;(4)be published in an English-language journal,and;(5)have a minimum training intervention duration of 4 weeks.Three databases were searched in February 2024(Google Scholar,PubMed/Medline,Scopus)for relevant articles,alongside'forward'and'backward'citation searching of articles included and additions via authors'personal knowledge.The results of studies were described narratively,compared,and contrasted.Eight studies met the inclusion criteria,totaling a sample size of 120.Results:Our results suggest that both muscle size and fascicle length increases may be greater following LML-RT versus SML-RT,suggesting LML-RT may lead to greater longitudinal hypertrophy than SML-RT.Notably,evidence is largely mixed;no studies to date have attempted to estimate serial sarcomere number changes from LML versus SML-RT,and all but one study used linear extrapolation methods to estimate FL,which has questionable validity.Therefore,the structural adaptations underlying hypertrophy from LML-RT remain undetermined.Conclusion:In conclusion,results suggest that LML-RT may be superior to SML-RT for inducing muscle hypertrophy and,more specifically,longitudinal growth,though evidence is mixed.展开更多
Objectives:Postmenopausal women with stress urinary incontinence(SUI)exhibit low androgen expression.This study aimed to evaluate the efficacy and safety of vaginal androgen combined with pelvic floor muscle training(...Objectives:Postmenopausal women with stress urinary incontinence(SUI)exhibit low androgen expression.This study aimed to evaluate the efficacy and safety of vaginal androgen combined with pelvic floor muscle training(PFMT)in the treatment of SUI in postmenopausal women.Methods:Postmenopausal women with SUI were recruited from Hainan West Central Hospital between January 2024 and March 2025.Participants were randomly assigned in a double-blind manner to receive either vaginal androgen cream combined with PFMT(treatment group)or a visually identical placebo cream(without androgens)combined with PFMT(control group).The vaginal cream was applied to the vaginal wall at a dose of 0.5 g per application,twice weekly for a total of 10 applications,while PFMT was conducted for 8 weeks.The clinical efficacy and safety were compared between the two groups.Results:A total of 61 patients were finally enrolled,with 31 in the treatment group and 30 in the control group.At both 3-month and 6-month follow-ups,the treatment group demonstrated significantly lower values in daily pad usage(p<0.05),24-h pad test scores(p<0.05),and ICIQ-UI SF scores(p<0.05)compared to the control group.The improvement rate of urinary incontinence was significantly higher in the treatment group(p<0.05).Compared to baseline,the treatment group showed statistically significant reductions in all three outcome measures(all p<0.05).No severe adverse events were reported in either group during the treatment period.Conclusions:Androgen therapy combined with PFMT significantly improved the urinary incontinence remission rate in postmenopausal women with SUI,with no severe adverse effects observed.These findings suggest that androgen therapy may represent a novel therapeutic approach for SUI management in postmenopausal women.展开更多
[Objectives]To investigate the clinical efficacy of core stability training combined with conventional rehabilitation in the functional recovery of patients suffering from chronic low back pain.[Methods]A randomized c...[Objectives]To investigate the clinical efficacy of core stability training combined with conventional rehabilitation in the functional recovery of patients suffering from chronic low back pain.[Methods]A randomized controlled trial design was employed in this study.Ninety patients with chronic low back pain were recruited and randomly assigned to either a control group(n=45),which received conventional rehabilitation,or an experimental group(n=45),which received conventional rehabilitation combined with core stability training.Both groups underwent treatment for 6 weeks.Assessments were conducted using the visual analogue scale(VAS),Oswestry disability index(ODI),and finger-to-floor test prior to treatment,6 weeks following treatment,and during the follow-up period,respectively.[Results]Prior to treatment,no statistically significant differences were observed between the two patient groups in terms of general information and various baseline measurements(P>0.05).Following 6 weeks of treatment and throughout the follow-up period,both groups demonstrated significant improvements in VAS scores,ODI scores,and lumbar anteflexion range of motion compared to baseline measurements(P<0.05).Notably,the magnitude of improvement in the experimental group exceeded that of the control group,with this inter-group difference reaching statistical significance(P<0.05).No serious adverse reactions were reported during the treatment process.[Conclusions]Core stability training combined with conventional rehabilitation can significantly enhance the alleviation of pain and functional impairments in patients suffering from chronic low back pain.This approach holds valuable implications for the optimization of rehabilitation treatment protocols.展开更多
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
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
Stroke patients experience varying degrees of upper limb functional impairment.Although bilateral arm training can help stroke patients recover movement after stroke,little is known about the way in which the brain an...Stroke patients experience varying degrees of upper limb functional impairment.Although bilateral arm training can help stroke patients recover movement after stroke,little is known about the way in which the brain and muscles work together during this type of training.To address this,we conducted a cross-sectional study at The Seventh Affiliated Hospital,Sun Yat-sen University in China,where we observed the connection between brain and muscle activity during bilateral upper limb training in 21 stroke patients and 17 healthy controls.We used functional near-infrared spectroscopy and surface electromyography to measure changes in cerebral cortex oxygenation and upper limb muscle contraction signals,respectively.The results showed that,compared with the healthy control group,stroke patients had reduced functional connectivity and more irregular muscle activity in the affected flexor muscle during bilateral upper limb training.Moreover,we found a significant correlation between the surface electromyographic signal characteristics of upper limb muscles and cerebral oxygenation indicators of multiple brain regions in stroke patients.These findings indicate that bilateral upper limb training is an effective rehabilitation method that improves upper limb motor function in stroke patients by promoting brain functional connectivity and improving muscle activity patterns.展开更多
[Objectives]To investigate the clinical effects of implementing structured phased rehabilitation training,in addition to conventional rehabilitation,on shoulder joint function and pain alleviation in patients with rot...[Objectives]To investigate the clinical effects of implementing structured phased rehabilitation training,in addition to conventional rehabilitation,on shoulder joint function and pain alleviation in patients with rotator cuff injuries managed conservatively.[Methods]Eighty patients diagnosed with rotator cuff injury were selected and randomly assigned to either the control group or the experimental group,each comprising 40 individuals.The control group received conventional rehabilitation treatment,whereas the experimental group underwent phased rehabilitation training in addition to the conventional treatment for 6 weeks.Assessments were conducted prior to treatment,6 weeks following treatment,and 8 weeks after the completion of treatment(follow-up period).The visual analogue scale(VAS)was employed to evaluate pain intensity,the Constant-Murley score was utilized to assess shoulder joint function,and the shoulder joint range of motion was measured.[Results]Prior to treatment,no statistically significant differences were observed between the two patient groups across all measured indicators(P>0.05).Following 6 weeks of treatment and throughout the follow-up period,both groups exhibited significant reductions in VAS scores compared to baseline measurements,alongside improvements in Constant-Murley scores and shoulder joint range of motion(P<0.05).Furthermore,the magnitude of improvement in the experimental group was significantly greater than that in the control group(P<0.05).[Conclusions]Phased rehabilitation training can enhance shoulder joint function and alleviate pain in patients with rotator cuff injuries beyond the effects of conventional rehabilitation treatment,demonstrating notable clinical application value.展开更多
Objective:To analyze the improvement effect of early postoperative rehabilitation training on balance ability and quality of life in elderly patients with hip fracture.Methods:A total of 50 elderly patients with hip f...Objective:To analyze the improvement effect of early postoperative rehabilitation training on balance ability and quality of life in elderly patients with hip fracture.Methods:A total of 50 elderly patients with hip fracture admitted to our hospital from January 2023 to January 2024 were selected and divided into the observation group(25 cases)and the control group(25 cases)by random number table method.The control group received routine nursing,while the observation group received early rehabilitation training on the basis of routine nursing.The balance ability(Berg Balance Scale,BBS)and quality of life(SF-36)of the two groups were compared.Results:The BBS scores of the observation group at all postoperative time points were significantly higher than those of the control group(p<0.05),and the quality-of-life scores of the observation group were also significantly higher than those of the control group(p<0.05).Conclusion:Early postoperative rehabilitation training for elderly patients with hip fracture can improve their balance ability,enhance their quality of life,and reduce the incidence of postoperative complications,which is worthy of clinical promotion.展开更多
Objective Cerebral venous outflow disorders(CVOD)can impair cerebral perfusion and produce diverse,often debilitating symptoms,substantially reducing quality of life.Intermittent hypoxiahyperoxia training(IHHT)has dem...Objective Cerebral venous outflow disorders(CVOD)can impair cerebral perfusion and produce diverse,often debilitating symptoms,substantially reducing quality of life.Intermittent hypoxiahyperoxia training(IHHT)has demonstrated therapeutic potential across various pathologies and may represent a promising non-pharmacological approach for CVOD management.Methods Patients with imaging-confirmed CVOD underwent 14 IHHT sessions,each comprising four cycles of 10-minute hypoxia(11%O_(2))stimulation and 20-minute hyperoxia(38%O_(2)).Physiological parameters and adverse events were monitored throughout the intervention.Clinical scales,24-hour ambulatory blood pressure,blood tests,jugular ultrasound,and perfusion imaging were assessed preand post-intervention.Results No participants experienced intolerable discomfort or severe adverse events;vital signs remained within normal ranges.No significant changes were observed in 24-hour blood pressure,blood cell counts,lipid profiles,or other blood markers.Notably,60%of patients(n=12)reported overall symptom improvement on the Patient Global Impression of Change scale.Headache severity,as measured by the visual analogue scale,significantly decreased(6.33±1.22 vs.4.89±2.03,P=0.016).In patients with internal jugular vein(IJV)stenosis,significant improvements were observed in regional cerebral blood flow(including the insula,occipital lobe,internal capsule,and lenticula)and left J3-segment IJV flow volume(107.27[47.50,160.00]vs.140.83[55.00,210.00]mL/min,P=0.011).Conclusion The current IHHT protocol is safe and well-tolerated in patients with CVOD.IHHT may alleviate CVOD-related symptoms by improving oxygen saturation,cerebral perfusion,and venous outflow pattern,supporting its potential as a non-invasive therapeutic strategy.展开更多
Background Regular physical training induces adaptive effects across multiple organ systems,highlighting the existence of inter-organ communication networks.However,the molecular mechanisms underlying both exercise-in...Background Regular physical training induces adaptive effects across multiple organ systems,highlighting the existence of inter-organ communication networks.However,the molecular mechanisms underlying both exercise-induced adaptations and organ-to-organ signaling are not fully characterized.Circulating extracellular vesicles(EVs),including exosomes,carry molecules like microRNAs(miRNAs)that may mediate tissue crosstalk.This study aimed to identify specific exercise training-responsive miRNAs that affect skeletal muscle function.Methods miRNA expression profiles of serum-derived EVs were analyzed in healthy young individuals before and after 3 weeks endurance exercise training.Exercise training-responsive miRNAs were then validated for a functional role in cellular metabolic processes in human myotubes.Results We identified several exercise training-responsive miRNAs within exosome-rich EVs in serum,including miR-136-3p.In human myotubes,miR-136-3p enhanced glucose uptake and targeted the nardilysin convertase(NRDC)gene.Transfection of miR-136-3p or silencing of NRDC induced a shift towards glycolytic metabolism in mitochondria and modulated gene expressions related to myogenesis.Pancreatic islets were identified as a potential source of miR-136-3p based on in silico analysis of gene expression and a molecular analysis of conditioned media from isolated pancreatic islets.Conclusion MiR-136-3p is an endurance training-responsive molecular transducer that modulates glucose metabolism and cellular proliferation in myocytes.Associated with EVs,extracellular miR-136-3p may serve as a molecular messenger to communicate islet–skeletal muscle crosstalk after exercise.Extracellular miR-136-3p may serve as a molecular messenger to communicate islet–skeletal muscle crosstalk.Our results highlight a miRNA-mediated mechanism that participates in inter-organ communication to fine tune the metabolic adaptations to exercise.展开更多
The important work of Yu,et al.[1]who presented one of the first randomized controlled trials(RCTs)to directly compare robot-assisted and manual percutaneous coronary intervention(PCI),is commendable;offering importan...The important work of Yu,et al.[1]who presented one of the first randomized controlled trials(RCTs)to directly compare robot-assisted and manual percutaneous coronary intervention(PCI),is commendable;offering important insights into the feasibility and outcomes of this emerging technology.While the analysis is timely,several issues warrant further consideration.展开更多
Adult-born oligodendrocytes are continuously produced in the brains of rodents.The functional role of these cells has been linked to the motor-related activities of healthy animals and is vital for acquiring new motor...Adult-born oligodendrocytes are continuously produced in the brains of rodents.The functional role of these cells has been linked to the motor-related activities of healthy animals and is vital for acquiring new motor skills.However,the relationship between these cells and the control of motor-related activities has not been investigated in pathological conditions.Therefore,the aim of this study is to investigate the role of oligodendrocytes in depression-related motor deficits and the effects of training.Psychomotor retardation is a key symptom of depression.Consistent with the impairments observed in rodent motor performance,the proliferation and activation of adult-born oligodendrocytes are altered in a corticosterone-induced stress paradigm.Therapeutic rotarod training can alleviate these symptoms by reversing the aforementioned changes.Notably,these alterations are particularly pronounced in layer I of the motor cortex.Thus,this study provides evidence of the potential functional involvement of adult-born oligodendrocytes in the motor impairments observed in the depressed animals.Additionally,it offers preliminary results for further investigation into layer I of the motor cortex in relation to these pathological conditions.展开更多
基金the Innovation Program of Shanghai Industrial Synergy(No.XTCX-KJ-2023-2-12)。
文摘Medical image segmentation is a crucial task in clinical applications.However,obtaining labeled data for medical images is often challenging.This has led to the appeal of semi-supervised learning(SSL),a technique adept at leveraging a modest amount of labeled data.Nonetheless,most prevailing SSL segmentation methods for medical images either rely on the single consistency training method or directly fine-tune SSL methods designed for natural images.In this paper,we propose an innovative semi-supervised method called multi-consistency training(MCT)for medical image segmentation.Our approach transcends the constraints of prior methodologies by considering consistency from a dual perspective:output consistency across different up-sampling methods and output consistency of the same data within the same network under various perturbations to the intermediate features.We design distinct semi-supervised loss regression methods for these two types of consistencies.To enhance the application of our MCT model,we also develop a dedicated decoder as the core of our neural network.Thorough experiments were conducted on the polyp dataset and the dental dataset,rigorously compared against other SSL methods.Experimental results demonstrate the superiority of our approach,achieving higher segmentation accuracy.Moreover,comprehensive ablation studies and insightful discussion substantiate the efficacy of our approach in navigating the intricacies of medical image segmentation.
基金financial support provided by the Natural Science Foundation of Hebei Province,China(No.E2024105036)the Tangshan Talent Funding Project,China(Nos.B202302007 and A2021110015)+1 种基金the National Natural Science Foundation of China(No.52264042)the Australian Research Council(No.IH230100010)。
文摘Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate this challenge,we present an enhanced semi-supervised learning approach based on the Mean Teacher framework,incorporating a novel feature loss module to maximize classification performance with limited labeled samples.The model studies show that the proposed model surpasses both the baseline Mean Teacher model and fully supervised method in accuracy.Specifically,for datasets with 20%,30%,and 40%label ratios,using a single training iteration,the model yields accuracies of 78.61%,82.21%,and 85.2%,respectively,while multiple-cycle training iterations achieves 82.09%,81.97%,and 81.59%,respectively.Furthermore,scenario-specific training schemes are introduced to support diverse deployment need.These findings highlight the potential of the proposed technique in minimizing labeling requirements and advancing intelligent blast furnace diagnostics.
基金Baoding Science and Technology Plan Project(Project No.:2541ZF307)。
文摘Objective:To analyze the clinical effect of sensory integration training combined with cognitive training in the rehabilitation treatment of children with mental retardation.Methods:A total of 120 children with mental retardation who received rehabilitation intervention in our hospital from January 2022 to December 2025 were selected and divided into a control group and an experimental group,with 60 children in each group.The control group adopted a conventional rehabilitation training program;the experimental group adopted a combined sensory integration training and cognitive training program.The sensory integration ability,cognitive function,and daily living skills of children in the two groups were compared.Results:The sensory integration ability score of the experimental group(85.3±6.2)was significantly higher than that of the control group(72.1±7.5)(p<0.05);the cognitive function score(88.7±5.8)was significantly improved compared with that of the control group(76.4±6.9)(p<0.05);the daily living skills score(90.2±4.7)was significantly higher than that of the control group(80.5±5.3)(p<0.05).The social interaction ability of the experimental group reached 92.5%,which was significantly higher than that of the control group(81.3%)(p<0.05).Conclusion:Sensory integration training combined with cognitive training demonstrates favorable outcomes in the rehabilitation treatment of children with mental retardation,exhibiting a notable neurofunctional remodeling effect.It can optimize the multidimensional rehabilitation process,effectively enhance the comprehensive developmental potential of children,and hold significant clinical application value.
基金funded by the National Natural Science Foundation of China (52061020).
文摘Quantitative analysis of aluminum-silicon(Al-Si)alloy microstructure is crucial for evaluating and controlling alloy performance.Conventional analysis methods rely on manual segmentation,which is inefficient and subjective,while fully supervised deep learning approaches require extensive and expensive pixel-level annotated data.Furthermore,existing semi-supervised methods still face challenges in handling the adhesion of adjacent primary silicon particles and effectively utilizing consistency in unlabeled data.To address these issues,this paper proposes a novel semi-supervised framework for Al-Si alloy microstructure image segmentation.First,we introduce a Rotational Uncertainty Correction Strategy(RUCS).This strategy employs multi-angle rotational perturbations andMonte Carlo sampling to assess prediction consistency,generating a pixel-wise confidence weight map.By integrating this map into the loss function,the model dynamically focuses on high-confidence regions,thereby improving generalization ability while reducing manual annotation pressure.Second,we design a Boundary EnhancementModule(BEM)to strengthen boundary feature extraction through erosion difference and multi-scale dilated convolutions.This module guides the model to focus on the boundary regions of adjacent particles,effectively resolving particle adhesion and improving segmentation accuracy.Systematic experiments were conducted on the Aluminum-Silicon Alloy Microstructure Dataset(ASAD).Results indicate that the proposed method performs exceptionally well with scarce labeled data.Specifically,using only 5%labeled data,our method improves the Jaccard index and Adjusted Rand Index(ARI)by 2.84 and 1.57 percentage points,respectively,and reduces the Variation of Information(VI)by 8.65 compared to stateof-the-art semi-supervised models,approaching the performance levels of 10%labeled data.These results demonstrate that the proposed method significantly enhances the accuracy and robustness of quantitative microstructure analysis while reducing annotation costs.
基金supported by the National Natural Science Foundation of China Funded Project(Project Name:Research on Robust Adaptive Allocation Mechanism of Human Machine Co-Driving System Based on NMS Features,Project Approval Number:52172381).
文摘To address the issue of scarce labeled samples and operational condition variations that degrade the accuracy of fault diagnosis models in variable-condition gearbox fault diagnosis,this paper proposes a semi-supervised masked contrastive learning and domain adaptation(SSMCL-DA)method for gearbox fault diagnosis under variable conditions.Initially,during the unsupervised pre-training phase,a dual signal augmentation strategy is devised,which simultaneously applies random masking in the time domain and random scaling in the frequency domain to unlabeled samples,thereby constructing more challenging positive sample pairs to guide the encoder in learning intrinsic features robust to condition variations.Subsequently,a ConvNeXt-Transformer hybrid architecture is employed,integrating the superior local detail modeling capacity of ConvNeXt with the robust global perception capability of Transformer to enhance feature extraction in complex scenarios.Thereafter,a contrastive learning model is constructed with the optimization objective of maximizing feature similarity across different masked instances of the same sample,enabling the extraction of consistent features from multiple masked perspectives and reducing reliance on labeled data.In the final supervised fine-tuning phase,a multi-scale attention mechanism is incorporated for feature rectification,and a domain adaptation module combining Local Maximum Mean Discrepancy(LMMD)with adversarial learning is proposed.This module embodies a dual mechanism:LMMD facilitates fine-grained class-conditional alignment,compelling features of identical fault classes to converge across varying conditions,while the domain discriminator utilizes adversarial training to guide the feature extractor toward learning domain-invariant features.Working in concert,they markedly diminish feature distribution discrepancies induced by changes in load,rotational speed,and other factors,thereby boosting the model’s adaptability to cross-condition scenarios.Experimental evaluations on the WT planetary gearbox dataset and the Case Western Reserve University(CWRU)bearing dataset demonstrate that the SSMCL-DA model effectively identifies multiple fault classes in gearboxes,with diagnostic performance substantially surpassing that of conventional methods.Under cross-condition scenarios,the model attains fault diagnosis accuracies of 99.21%for the WT planetary gearbox and 99.86%for the bearings,respectively.Furthermore,the model exhibits stable generalization capability in cross-device settings.
基金supported by Development of asparagus price database based on agricultural big data(381724).
文摘Asparagus stem blight is a devastating crop disease,and the early detection of its pathogenic spores is essential for effective disease control and prevention.However,spore detection is still hindered by complex backgrounds,small target sizes,and high annotation costs,which limit its practical application and widespread adoption.To address these issues,a semi-supervised spore detection framework is proposed for use under complex background conditions.Firstly,a difficulty perception scoring function is designed to quantify the detection difficulty of each image region.For regions with higher difficulty scores,a masking strategy is applied,while the remaining regions are adversarial augmentation is applied to encourage the model to learn fromchallenging areasmore effectively.Secondly,a Gaussian Mixture Model is employed to dynamically adjust the allocation threshold for pseudo-labels,thereby reducing the influence of unreliable supervision signals and enhancing the stability of semi-supervised learning.Finally,the Wasserstein distance is introduced for object localization refinement,offering a more robust positioning approach.Experimental results demonstrate that the proposed framework achieves 88.9% mAP50 and 60.7% mAP50-95,surpassing the baseline method by 4.2% and 4.6%,respectively,using only 10% of labeled data.In comparison with other state-of-the-art semi-supervised detection models,the proposed method exhibits superior detection accuracy and robustness.In conclusion,the framework not only offers an efficient and reliable solution for plant pathogen spore detection but also provides strong algorithmic support for real-time spore detection and early disease warning systems,with significant engineering application potential.
基金funded by the Research Project:THTETN.05/24-25,VietnamAcademy of Science and Technology.
文摘Satellite image segmentation plays a crucial role in remote sensing,supporting applications such as environmental monitoring,land use analysis,and disaster management.However,traditional segmentation methods often rely on large amounts of labeled data,which are costly and time-consuming to obtain,especially in largescale or dynamic environments.To address this challenge,we propose the Semi-Supervised Multi-View Picture Fuzzy Clustering(SS-MPFC)algorithm,which improves segmentation accuracy and robustness,particularly in complex and uncertain remote sensing scenarios.SS-MPFC unifies three paradigms:semi-supervised learning,multi-view clustering,and picture fuzzy set theory.This integration allows the model to effectively utilize a small number of labeled samples,fuse complementary information from multiple data views,and handle the ambiguity and uncertainty inherent in satellite imagery.We design a novel objective function that jointly incorporates picture fuzzy membership functions across multiple views of the data,and embeds pairwise semi-supervised constraints(must-link and cannot-link)directly into the clustering process to enhance segmentation accuracy.Experiments conducted on several benchmark satellite datasets demonstrate that SS-MPFC significantly outperforms existing state-of-the-art methods in segmentation accuracy,noise robustness,and semantic interpretability.On the Augsburg dataset,SS-MPFC achieves a Purity of 0.8158 and an Accuracy of 0.6860,highlighting its outstanding robustness and efficiency.These results demonstrate that SSMPFC offers a scalable and effective solution for real-world satellite-based monitoring systems,particularly in scenarios where rapid annotation is infeasible,such as wildfire tracking,agricultural monitoring,and dynamic urban mapping.
基金MAF is supported by an NHMRC Investigator Grant(APP1194141)Research in his laboratory was supported by project grants from the NHMRC(APP1042465,APP1041760,and APP1156511).
文摘Background Obesity is a risk factor for developing cardiometabolic disease.Exercise training is pivotal in the treatment of obesity and is associated with reduced cardiovascular mortality.This study examined the effect of high-fat feeding on cardiac morphology and mitochondrial function,alongside the mitigating effects of voluntary exercise training.Methods Six-week-old male C57Bl/6 J mice commenced a high fat diet(HFD)or chow diet and were randomized to receive locked(sedentary)or unlocked(voluntary exercise training(VET))running wheels at 10 weeks of age.Mice were monitored until 30 weeks of age and euthanized for collection of tissues.Magnetic resonance imaging was performed to assess body composition,and echocardiography was performed to assess cardiac function.Results Compared with chow-fed animals,the HFD increased body weight and adiposity and decreased cardiolipins(CL)in the heart,which are required for maintaining adequate mitochondrial respiration.Importantly,VET reversed these effects and induced physiological cardiac hypertrophy.Cardiac mitochondrial respiratory chain analysis revealed decreased complexes II and IV activity following high fat feeding,while VET enhanced complex I activity,emphasizing the cardioprotective effect of exercise training in obesity.Conclusion This study uncovers mechanisms by which obesity and exercise impact cardiac mitochondrial health and suggests the mitochondria is a therapeutic target in obesity-related cardiovascular diseases.
文摘Background:This paper aimed to systematically review the literature regarding the effects of resistance training(RT)performed at longer-muscle length(LML)versus shorter-muscle length(SML)on proxy measurements for longitudinal hypertrophy.Methods:We included studies that satisfied the following criteria:(1)be a resistance training intervention with a comparison of LML vs SML-RT;(2)assess both fascicle length(FL)and muscle size pre-and post-intervention;(3)involve healthy adults aged≥18 years;(4)be published in an English-language journal,and;(5)have a minimum training intervention duration of 4 weeks.Three databases were searched in February 2024(Google Scholar,PubMed/Medline,Scopus)for relevant articles,alongside'forward'and'backward'citation searching of articles included and additions via authors'personal knowledge.The results of studies were described narratively,compared,and contrasted.Eight studies met the inclusion criteria,totaling a sample size of 120.Results:Our results suggest that both muscle size and fascicle length increases may be greater following LML-RT versus SML-RT,suggesting LML-RT may lead to greater longitudinal hypertrophy than SML-RT.Notably,evidence is largely mixed;no studies to date have attempted to estimate serial sarcomere number changes from LML versus SML-RT,and all but one study used linear extrapolation methods to estimate FL,which has questionable validity.Therefore,the structural adaptations underlying hypertrophy from LML-RT remain undetermined.Conclusion:In conclusion,results suggest that LML-RT may be superior to SML-RT for inducing muscle hypertrophy and,more specifically,longitudinal growth,though evidence is mixed.
基金supported by Joint Program on Health Science&Technology Innovation of Hainan Province(WSJK2024QN093)Discipline Leader Development Program for Outstanding Talents of Hainan West Central Hospital.
文摘Objectives:Postmenopausal women with stress urinary incontinence(SUI)exhibit low androgen expression.This study aimed to evaluate the efficacy and safety of vaginal androgen combined with pelvic floor muscle training(PFMT)in the treatment of SUI in postmenopausal women.Methods:Postmenopausal women with SUI were recruited from Hainan West Central Hospital between January 2024 and March 2025.Participants were randomly assigned in a double-blind manner to receive either vaginal androgen cream combined with PFMT(treatment group)or a visually identical placebo cream(without androgens)combined with PFMT(control group).The vaginal cream was applied to the vaginal wall at a dose of 0.5 g per application,twice weekly for a total of 10 applications,while PFMT was conducted for 8 weeks.The clinical efficacy and safety were compared between the two groups.Results:A total of 61 patients were finally enrolled,with 31 in the treatment group and 30 in the control group.At both 3-month and 6-month follow-ups,the treatment group demonstrated significantly lower values in daily pad usage(p<0.05),24-h pad test scores(p<0.05),and ICIQ-UI SF scores(p<0.05)compared to the control group.The improvement rate of urinary incontinence was significantly higher in the treatment group(p<0.05).Compared to baseline,the treatment group showed statistically significant reductions in all three outcome measures(all p<0.05).No severe adverse events were reported in either group during the treatment period.Conclusions:Androgen therapy combined with PFMT significantly improved the urinary incontinence remission rate in postmenopausal women with SUI,with no severe adverse effects observed.These findings suggest that androgen therapy may represent a novel therapeutic approach for SUI management in postmenopausal women.
文摘[Objectives]To investigate the clinical efficacy of core stability training combined with conventional rehabilitation in the functional recovery of patients suffering from chronic low back pain.[Methods]A randomized controlled trial design was employed in this study.Ninety patients with chronic low back pain were recruited and randomly assigned to either a control group(n=45),which received conventional rehabilitation,or an experimental group(n=45),which received conventional rehabilitation combined with core stability training.Both groups underwent treatment for 6 weeks.Assessments were conducted using the visual analogue scale(VAS),Oswestry disability index(ODI),and finger-to-floor test prior to treatment,6 weeks following treatment,and during the follow-up period,respectively.[Results]Prior to treatment,no statistically significant differences were observed between the two patient groups in terms of general information and various baseline measurements(P>0.05).Following 6 weeks of treatment and throughout the follow-up period,both groups demonstrated significant improvements in VAS scores,ODI scores,and lumbar anteflexion range of motion compared to baseline measurements(P<0.05).Notably,the magnitude of improvement in the experimental group exceeded that of the control group,with this inter-group difference reaching statistical significance(P<0.05).No serious adverse reactions were reported during the treatment process.[Conclusions]Core stability training combined with conventional rehabilitation can significantly enhance the alleviation of pain and functional impairments in patients suffering from chronic low back pain.This approach holds valuable implications for the optimization of rehabilitation treatment protocols.
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Supported by the Key Special Project of“Cutting-Edge Biotechnology”in the National Key Research and Development Program of China(No.2024YFC3406200)Sanming Project of Medicine in Shenzhen(No.SZSM202411007)Shenzhen Science and Technology Program(No.JCYJ20240813152704006).
文摘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.
文摘Stroke patients experience varying degrees of upper limb functional impairment.Although bilateral arm training can help stroke patients recover movement after stroke,little is known about the way in which the brain and muscles work together during this type of training.To address this,we conducted a cross-sectional study at The Seventh Affiliated Hospital,Sun Yat-sen University in China,where we observed the connection between brain and muscle activity during bilateral upper limb training in 21 stroke patients and 17 healthy controls.We used functional near-infrared spectroscopy and surface electromyography to measure changes in cerebral cortex oxygenation and upper limb muscle contraction signals,respectively.The results showed that,compared with the healthy control group,stroke patients had reduced functional connectivity and more irregular muscle activity in the affected flexor muscle during bilateral upper limb training.Moreover,we found a significant correlation between the surface electromyographic signal characteristics of upper limb muscles and cerebral oxygenation indicators of multiple brain regions in stroke patients.These findings indicate that bilateral upper limb training is an effective rehabilitation method that improves upper limb motor function in stroke patients by promoting brain functional connectivity and improving muscle activity patterns.
文摘[Objectives]To investigate the clinical effects of implementing structured phased rehabilitation training,in addition to conventional rehabilitation,on shoulder joint function and pain alleviation in patients with rotator cuff injuries managed conservatively.[Methods]Eighty patients diagnosed with rotator cuff injury were selected and randomly assigned to either the control group or the experimental group,each comprising 40 individuals.The control group received conventional rehabilitation treatment,whereas the experimental group underwent phased rehabilitation training in addition to the conventional treatment for 6 weeks.Assessments were conducted prior to treatment,6 weeks following treatment,and 8 weeks after the completion of treatment(follow-up period).The visual analogue scale(VAS)was employed to evaluate pain intensity,the Constant-Murley score was utilized to assess shoulder joint function,and the shoulder joint range of motion was measured.[Results]Prior to treatment,no statistically significant differences were observed between the two patient groups across all measured indicators(P>0.05).Following 6 weeks of treatment and throughout the follow-up period,both groups exhibited significant reductions in VAS scores compared to baseline measurements,alongside improvements in Constant-Murley scores and shoulder joint range of motion(P<0.05).Furthermore,the magnitude of improvement in the experimental group was significantly greater than that in the control group(P<0.05).[Conclusions]Phased rehabilitation training can enhance shoulder joint function and alleviate pain in patients with rotator cuff injuries beyond the effects of conventional rehabilitation treatment,demonstrating notable clinical application value.
基金Chongqing Education Science Planning Project.Project Name:Research on Talent Training of Community Rehabilitation Major in Higher Vocational Colleges Based on OBE Concept(Project No.:K23ZG3420222)。
文摘Objective:To analyze the improvement effect of early postoperative rehabilitation training on balance ability and quality of life in elderly patients with hip fracture.Methods:A total of 50 elderly patients with hip fracture admitted to our hospital from January 2023 to January 2024 were selected and divided into the observation group(25 cases)and the control group(25 cases)by random number table method.The control group received routine nursing,while the observation group received early rehabilitation training on the basis of routine nursing.The balance ability(Berg Balance Scale,BBS)and quality of life(SF-36)of the two groups were compared.Results:The BBS scores of the observation group at all postoperative time points were significantly higher than those of the control group(p<0.05),and the quality-of-life scores of the observation group were also significantly higher than those of the control group(p<0.05).Conclusion:Early postoperative rehabilitation training for elderly patients with hip fracture can improve their balance ability,enhance their quality of life,and reduce the incidence of postoperative complications,which is worthy of clinical promotion.
基金sponsored by the National Natural Science Foundation of China(Nos.82027802,82101389,82274401,and 81971114)Beijing Nova Program(No.20230484286)+1 种基金Beijing Natural Science Foundation(7254366)the General Project of Science and Technology of Beijing Municipal Education Commission(No.KM202110025018).
文摘Objective Cerebral venous outflow disorders(CVOD)can impair cerebral perfusion and produce diverse,often debilitating symptoms,substantially reducing quality of life.Intermittent hypoxiahyperoxia training(IHHT)has demonstrated therapeutic potential across various pathologies and may represent a promising non-pharmacological approach for CVOD management.Methods Patients with imaging-confirmed CVOD underwent 14 IHHT sessions,each comprising four cycles of 10-minute hypoxia(11%O_(2))stimulation and 20-minute hyperoxia(38%O_(2)).Physiological parameters and adverse events were monitored throughout the intervention.Clinical scales,24-hour ambulatory blood pressure,blood tests,jugular ultrasound,and perfusion imaging were assessed preand post-intervention.Results No participants experienced intolerable discomfort or severe adverse events;vital signs remained within normal ranges.No significant changes were observed in 24-hour blood pressure,blood cell counts,lipid profiles,or other blood markers.Notably,60%of patients(n=12)reported overall symptom improvement on the Patient Global Impression of Change scale.Headache severity,as measured by the visual analogue scale,significantly decreased(6.33±1.22 vs.4.89±2.03,P=0.016).In patients with internal jugular vein(IJV)stenosis,significant improvements were observed in regional cerebral blood flow(including the insula,occipital lobe,internal capsule,and lenticula)and left J3-segment IJV flow volume(107.27[47.50,160.00]vs.140.83[55.00,210.00]mL/min,P=0.011).Conclusion The current IHHT protocol is safe and well-tolerated in patients with CVOD.IHHT may alleviate CVOD-related symptoms by improving oxygen saturation,cerebral perfusion,and venous outflow pattern,supporting its potential as a non-invasive therapeutic strategy.
基金supported by grants from the Knut and Alice Wallenberg foundation(P-OB,JRZ,and AK)the Swedish Research Council(JRZ and AK),Centrum för idrottsforskning(AK and JRZ)+7 种基金the NovoNordisk Foundation Metabolic Stress Associated Molecules(MSAM)consortium NNF15SA0018346 and Metabolite-related Inflammation and Disease(MeRIAD)consortium Grant number 0064142(AK)the Swedish Diabetes Foundation(AK and JRZ)the European Foundation for the Study of Diabetes(JRZ and AK)the Region Stockholm(ALF project)(JRZ and KC)the Strategic Research Program in Diabetes at Karolinska Institutet(JRZ and AK)supported by the Strategic Research Programme in Diabetes(SRP Diabetes)for use of the Seahorse flux analyzer.Human islets were made possible through the Juvenile Diabetes Research Foundation(JDRF)award 31-2008-416(European Coordinating Infrastructure for Islet Transplantation(ECIT),Islet for Basic Research program)AK holds a Distinguished Investigator Grant within Endocrinology and Metabolism from the Novo Nordisk Foundation(NNF24OC0088739)JRZ received the 2024 European Association for the Study of Diabetes(ESAD)-Novo Nordisk Foundation Diabetes Prize for Excellence(NNF24SA0092609).
文摘Background Regular physical training induces adaptive effects across multiple organ systems,highlighting the existence of inter-organ communication networks.However,the molecular mechanisms underlying both exercise-induced adaptations and organ-to-organ signaling are not fully characterized.Circulating extracellular vesicles(EVs),including exosomes,carry molecules like microRNAs(miRNAs)that may mediate tissue crosstalk.This study aimed to identify specific exercise training-responsive miRNAs that affect skeletal muscle function.Methods miRNA expression profiles of serum-derived EVs were analyzed in healthy young individuals before and after 3 weeks endurance exercise training.Exercise training-responsive miRNAs were then validated for a functional role in cellular metabolic processes in human myotubes.Results We identified several exercise training-responsive miRNAs within exosome-rich EVs in serum,including miR-136-3p.In human myotubes,miR-136-3p enhanced glucose uptake and targeted the nardilysin convertase(NRDC)gene.Transfection of miR-136-3p or silencing of NRDC induced a shift towards glycolytic metabolism in mitochondria and modulated gene expressions related to myogenesis.Pancreatic islets were identified as a potential source of miR-136-3p based on in silico analysis of gene expression and a molecular analysis of conditioned media from isolated pancreatic islets.Conclusion MiR-136-3p is an endurance training-responsive molecular transducer that modulates glucose metabolism and cellular proliferation in myocytes.Associated with EVs,extracellular miR-136-3p may serve as a molecular messenger to communicate islet–skeletal muscle crosstalk after exercise.Extracellular miR-136-3p may serve as a molecular messenger to communicate islet–skeletal muscle crosstalk.Our results highlight a miRNA-mediated mechanism that participates in inter-organ communication to fine tune the metabolic adaptations to exercise.
文摘The important work of Yu,et al.[1]who presented one of the first randomized controlled trials(RCTs)to directly compare robot-assisted and manual percutaneous coronary intervention(PCI),is commendable;offering important insights into the feasibility and outcomes of this emerging technology.While the analysis is timely,several issues warrant further consideration.
基金supported by Hong Kong Health and Medical Research Fund,No.02133206(to KFS).
文摘Adult-born oligodendrocytes are continuously produced in the brains of rodents.The functional role of these cells has been linked to the motor-related activities of healthy animals and is vital for acquiring new motor skills.However,the relationship between these cells and the control of motor-related activities has not been investigated in pathological conditions.Therefore,the aim of this study is to investigate the role of oligodendrocytes in depression-related motor deficits and the effects of training.Psychomotor retardation is a key symptom of depression.Consistent with the impairments observed in rodent motor performance,the proliferation and activation of adult-born oligodendrocytes are altered in a corticosterone-induced stress paradigm.Therapeutic rotarod training can alleviate these symptoms by reversing the aforementioned changes.Notably,these alterations are particularly pronounced in layer I of the motor cortex.Thus,this study provides evidence of the potential functional involvement of adult-born oligodendrocytes in the motor impairments observed in the depressed animals.Additionally,it offers preliminary results for further investigation into layer I of the motor cortex in relation to these pathological conditions.
