Objective:With the aging of the population, the health of women's ovarian in China has received increasing attention.Ovarian aging not only affects reproductive health but also increases the risk of chronic diseases.This study aims to systematically explore the relationship between living habits and ovarian aging.Methods:Based on the data from the China Health and Retirement Longitudinal Study(CHARLS)from 2011 to 2018, 8 287 postmenopausal women were included.A retrospective cohort study was conducted using statistical analysis and machine learning methods to evaluate the impact of lifestyle factors such as smoking, drinking, sleep, and dietary patterns on the age of menopause.Results:It was found that adverse lifestyle factors such as reduced daily meal frequency [the early menopause group(2.85±0.38)times/day vs.the normal group(2.89±0.38)times/day, P=0.002], smoking [the smoking rate of the early menopause group(7.75%) vs.that of the normal group(6.15%), P=0.004], and high-frequency drinking [the early menopause rate of people who drink daily(19.76%(33/167)) vs.that of people who rarely or never drink(14.62%(1 162/7 949)), P=0.047]were associated with accelerated ovarian aging. Conclusions:Reasonable adjustment of living habits maybe help to delay the age of menopause and reduce related health risks.This study provides a scientific basis for optimizing women's healthy lifestyles, which is conducive to improving the quality of life and happiness of middle-aged and elderly women in China.

Objective To test the hypothesis that backward crawling and forward crawling share similar inter-joint coordination patterns,thus providing potential evidence for the application of backward crawling in rehabilitation training.Methods The acceleration signals in the X,Y,and Z directions for 9 joints(including bilateral wrists,elbows,shoulders,knees,and hips)in 9 volunteers during forward and backward crawling were collected using a custom signal acquisition system,and the pressure signals were also recorded when the palms contacted the ground.The collected acceleration signals were preprocessed,segmented into cycles,and vectorized.Based on the pressure signals,a single crawling cycle was divided into support phase and swing phase.In addition,principal component analysis was applied to extract inter-joint coordination in limbs at various scales(sagittal,coronal,and transverse planes).Pearson correlation coefficients of inter-joint coordination patterns were compared between forward and backward crawling in support period,swing period,and full cycle.Results The correlation coefficients for coordination patterns in the full cycle at the transverse plane scale were 0.813 5(PC1)and 0.837 5(PC2),and the correlation coefficient of the support period PC2 was 0.901 8.At the sagittal plane scale,the correlation coefficient of the support period PC1 was 0.948 5.Conclusion The study provides preliminary evidence that limb motion coordination patterns during backward crawling are similar to those observed during forward crawling.Future research will further explore the effects of backward crawling on functional rehabilitation in individuals with motor impairments.

How to effectively reduce the size of infant pose estimation network models is a key issue restricting the"home-use"of infant pose estimation technology. Therefore,a lightweight method for infant pose estimation in home scenarios is proposed. The method takes the lightweight network MobileNetV3 as the encoding backbone and utilizesa PixelShuffle up-sampling module in the decoder for reducing the quantity of model parameters. Meanwhile,coordinate attention mechanism is used to better capture location information and channel feature information,highlighting the feature information of small targets and occluded human keypoints. Besides,the parallel cross-correlation convolution is further modified to enhance the capability of feature information extraction. The method's performance is verified on the general pose estimation dataset (COCO) and the dedicated infant pose estimation dataset (SyRIP). The results show that,with a calculation volume (GFLOPs) of only 0.96,the method achieves average accuracies of 73.5％ and 91.0％ on COCO and SyRIP datasets,respectively,proving that it can significantly reduce the quantity of model parameters and calculation volume without sacrificing pose estimation accuracy. The proposed lightweight estimation model is expected to be deployed on home appliances such as smart terminals,thereby realizing intelligent estimation of abnormal infant poses in home scenarios.

Objective To test the hypothesis that backward crawling and forward crawling share similar inter-joint coordination patterns,thus providing potential evidence for the application of backward crawling in rehabilitation training.Methods The acceleration signals in the X,Y,and Z directions for 9 joints(including bilateral wrists,elbows,shoulders,knees,and hips)in 9 volunteers during forward and backward crawling were collected using a custom signal acquisition system,and the pressure signals were also recorded when the palms contacted the ground.The collected acceleration signals were preprocessed,segmented into cycles,and vectorized.Based on the pressure signals,a single crawling cycle was divided into support phase and swing phase.In addition,principal component analysis was applied to extract inter-joint coordination in limbs at various scales(sagittal,coronal,and transverse planes).Pearson correlation coefficients of inter-joint coordination patterns were compared between forward and backward crawling in support period,swing period,and full cycle.Results The correlation coefficients for coordination patterns in the full cycle at the transverse plane scale were 0.813 5(PC1)and 0.837 5(PC2),and the correlation coefficient of the support period PC2 was 0.901 8.At the sagittal plane scale,the correlation coefficient of the support period PC1 was 0.948 5.Conclusion The study provides preliminary evidence that limb motion coordination patterns during backward crawling are similar to those observed during forward crawling.Future research will further explore the effects of backward crawling on functional rehabilitation in individuals with motor impairments.

How to effectively reduce the size of infant pose estimation network models is a key issue restricting the"home-use"of infant pose estimation technology. Therefore,a lightweight method for infant pose estimation in home scenarios is proposed. The method takes the lightweight network MobileNetV3 as the encoding backbone and utilizesa PixelShuffle up-sampling module in the decoder for reducing the quantity of model parameters. Meanwhile,coordinate attention mechanism is used to better capture location information and channel feature information,highlighting the feature information of small targets and occluded human keypoints. Besides,the parallel cross-correlation convolution is further modified to enhance the capability of feature information extraction. The method's performance is verified on the general pose estimation dataset (COCO) and the dedicated infant pose estimation dataset (SyRIP). The results show that,with a calculation volume (GFLOPs) of only 0.96,the method achieves average accuracies of 73.5％ and 91.0％ on COCO and SyRIP datasets,respectively,proving that it can significantly reduce the quantity of model parameters and calculation volume without sacrificing pose estimation accuracy. The proposed lightweight estimation model is expected to be deployed on home appliances such as smart terminals,thereby realizing intelligent estimation of abnormal infant poses in home scenarios.

Objective:With the aging of the population, the health of women's ovarian in China has received increasing attention.Ovarian aging not only affects reproductive health but also increases the risk of chronic diseases.This study aims to systematically explore the relationship between living habits and ovarian aging.Methods:Based on the data from the China Health and Retirement Longitudinal Study(CHARLS)from 2011 to 2018, 8 287 postmenopausal women were included.A retrospective cohort study was conducted using statistical analysis and machine learning methods to evaluate the impact of lifestyle factors such as smoking, drinking, sleep, and dietary patterns on the age of menopause.Results:It was found that adverse lifestyle factors such as reduced daily meal frequency [the early menopause group(2.85±0.38)times/day vs.the normal group(2.89±0.38)times/day, P=0.002], smoking [the smoking rate of the early menopause group(7.75%) vs.that of the normal group(6.15%), P=0.004], and high-frequency drinking [the early menopause rate of people who drink daily(19.76%(33/167)) vs.that of people who rarely or never drink(14.62%(1 162/7 949)), P=0.047]were associated with accelerated ovarian aging. Conclusions:Reasonable adjustment of living habits maybe help to delay the age of menopause and reduce related health risks.This study provides a scientific basis for optimizing women's healthy lifestyles, which is conducive to improving the quality of life and happiness of middle-aged and elderly women in China.

Objective To deeply analyze the problems of public hospitals in medical service satisfaction,construct a more applicable and explanatory service satisfaction evaluation model,and provide reference for the improvement path of patients'medical service satisfaction.Methods Based on the ESCI model,this paper puts forward a research hypothesis,compiles the"Medical Service Satisfaction Evaluation Scale of Public Hospitals in S City",selects S public hospitals as the research object,and evaluates medical service satisfaction from the perspective of patients.Results At present,the main problems affecting the improvement of patients'satisfaction with medical service management in public hospitals in S city are as follows:it is urgent to improve the diagnosis and treatment technology in terms of hardware quality and optimize the environmental hygiene of public hos-pitals,and it is an urgent task to shorten the waiting time for medical treatment in software quality.The score of medical service satisfaction evaluation of S public hospitals was 3.76,and the satisfaction of patients in S public hospitals with their medical serv-ices was at a moderately low level.Conclusion In view of the above problems,it is recommended to strengthen the construction of key specialties,strengthen the construction of talent team,optimize the medical process,open digital linkage services,and strengthen service management,so as to promote the improvement of patients'satisfaction with medical services.

Objective:To conduct scoping review of researches on application of traditional Chinese medicine exercises in exercise rehabilitation of patients with heart failure, so as to provide reference for effective clinical intervention of traditional Chinese medicine exercises.Methods:Chinese and English literature published in PubMed, Web of Science, Cochrane Library, Embase, CNKI, VIP, Wanfang Database and China Biology Medicine disc were searched by computer, and the search deadline was from database establishment to May 28, 2023. The Joanna Briggs Institute Scoping Review Guide was used as a methodological framework to summarize and analyze the included literature.Results:A total of 19 literatures were included, including 17 randomized controlled trials and 2 quasi-randomized controlled trials. The subjects of the intervention were heart failure patients with New York Heart Association heart function gradeⅠ toⅢ. The types of exercises mainly included Eight Pieces of Brocade and Tai Chi. The intervention duration was mostly 30 min each time, and the frequency was mostly 3 to 5 times a week. The intervention intensity was mostly based on The Borg Rating of Perceived Exertion (RPE), and the intervention duration was mostly 3 months. Most of the implementation scenarios were "hospital-home" or home. Traditional Chinese medicine exercises had a positive effect on the clinical symptoms, psychological state and quality of life of patients with heart failure, and were safe and feasible.Conclusions:Traditional Chinese medicine exercises have a positive effect on the exercise rehabilitation of patients with heart failure, and are safe and feasible.

Objective This research aims to investigate the impact of Orff music therapy on long-term schizophrenic patients in hospitals.Methods The study was a randomized,single-blind controlled trial conducted from April,2023 to September,2023.From April to September 2023,sixty-eight individuals diagnosed with persistent schizophrenia were enrolled and evenly distributed into a pair of cohorts:a treatment group of thirty-four people receiving the intervention,and an equal number forming the control group for comparative purposes.Individuals enrolled in the experimental arm of the study were administered Orff-music therapy alongside routine rehabilitation treatment across a span of two months.For a period of 8 weeks,the control group was given only standard rehabilitation treatment,whereas the research group underwent Orff-music therapy in addition to the standard rehabilitation treatment.Results Before treatment,there were no significant differences in the positive and negative symptoms scale(PANSS),the inpatient psychosis rehabilitation observe scale(IPROS)and the personal and social performance scale(psp)between two groups.After intervention,the PANSS showed that the changes were better in the study group than in the control group in 3 indicators:negative symptoms(-3.20±4.13 vs.-0.17±2.43,P<0.001),general symptoms(-2.79±3.83 vs.-0.17±2.99,P=0.003)and the total scores(-5.88±6.36 vs.0.00±4.08,P<0.001),but not in positive symptoms(P>0.05).The IPROS showed that the performances of patients in the study group were better than the control group in terms of participation in work therapy(-0.82±2.08 vs.0.23±2.10,P=0.041),socialization(-0.59±1.94 vs.0.53±1.69,P=0.014)and ability to live(-0.94±2.50 vs.0.15±1.48,P=0.033),the changes in scores before and after the intervention were significantly different when compared to the control group.The PSP showed that the changes in scores before and after the treatment of the study group was better than the control group in terms of social activity[0(-1,0)vs.0(0,0),P=0.011],and self-care[0(-1,0)vs.0(-0.25,0),P=0.012]were better than the control group.Conclusion For long-term hospitalized patients with chronic schizophrenia.Orff-music therapy can be a powerful tool for alleviating mental issues,fostering social functioning,and enhancing rehabilitation results.

Crawling is a significant sign of gross motor development in infants,and also an important means of rehabilitation training for patients with motor disorders.The accurate measurement of the motion state during human crawling is essential for evaluating the gross motor developmental process in infants and the rehabilitation outcome of patients with motor disorders.In recent years,many studies have attempted to quantitatively evaluate the motion state by detecting physiological signals during human crawling,but there is a lack of overview on human crawling motion signal acquisition and processing.Herein the detection and processing methods for motion signals during human crawling and relevant researches are reviewed.The mainstream methods for detecting motion signals during human crawling are introduced from the perspectives of inertial sensors,pressure sensors,and surface electromyography.Then,the signal processing and analysis such as periodic segmentation,kinematic analysis,and dynamic analysis in human crawling are summarized.Based on the theory of motion coordination,the research advances in joint synergy and muscle synergy during human crawling are elaborated.Finally,the current problems and future development directions of motion analysis for human crawling are discussed.