To summarize the clinical experience and characteristics of Professor XU Xin in syndrome differentiation and treatment of polycystic ovary syndrome with insulin resistance （PCOS-IR）. XU Xin believes that the etiological factors of PCOS-IR is qi deficiency of the spleen and kidney， and the key disease mechanism is dysfunction in transportation and transformation of spleen and kidney， causing phlegm dampness and turbid heat accumulated in yangming， then evolving into the lower jiao， mixed with blood stasis， finally obstructing the chong （冲） and ren （任） mai and uterus. So in clinic， the method of boosting the kidney and fortifying the spleen was used through out the whole treatment commonly using modified Shoutai Pill （寿胎丸） and Sijunzi Decoction （四君子汤）. The main therapeutic method for treating PCOS-IR refers to clearing and draining dampness heat in yangming， invigorating blood and regulating period， with self-prescribed Yishen Quzhuo Formula （益肾祛浊方）， as a reference for the treatment of this disease.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are constrained by limitations in understanding ECG features and transferring knowledge across tasks. To address these challenges, this study developed a multi-resolution feature encoding network based on residual networks, which effectively extracted local morphological features and global rhythm features of ECG signals, thereby enhancing feature representation. Furthermore, a model compression-based continual learning method was proposed, enabling the structured transfer of knowledge from simpler tasks to more complex ones, resulting in improved performance in downstream tasks. The multi-resolution learning model demonstrated superior or comparable performance to state-of-the-art algorithms across five datasets, including tasks such as ECG QRS complex detection, arrhythmia classification, and emotion classification. The continual learning method achieved significant improvements over conventional training approaches in cross-domain, cross-task, and incremental data scenarios. These results highlight the potential of the proposed method for effective cross-task knowledge transfer in ECG analysis and offer a new perspective for multi-task learning using ECG signals.
Humans ; Electrocardiography/methods* ; Mental Health ; Algorithms ; Signal Processing, Computer-Assisted ; Machine Learning ; Arrhythmias, Cardiac/diagnosis* ; Cardiovascular Diseases ; Neural Networks, Computer ; Mental Disorders

OBJECTIVES: Pelvic floor dysfunction is common among pregnant and postpartum women and significantly impacts quality of life. This study aims to translate the German Pelvic Floor Questionnaire for Pregnant and Postpartum Women into Chinese and to evaluate its reliability and validity in the Chinese population. METHODS: The questionnaire was translated using the Brislin model. A cross-sectional study was conducted among pregnant and postpartum women to assess the content validity, construct validity, Cronbach's α coefficient, test-retest reliability, and split-half reliability of the Chinese version. RESULTS: A total of 72 women were included, with 6.9% being pregnant and 93.1% postpartum; the age was (32.3±3.6) years. The Chinese version of the questionnaire contains 4 dimensions and 45 items. The content validity index of individual items ranged from 0.833 to 1.000, with a scale-level content validity index of 0.977 and intraclass correlation coefficients (ICCs) exceeding 0.90. The overall Cronbach's α coefficient was 0.891, with subscale coefficients ranging from 0.732 to 0.884 (all ICCs>0.70). The test-retest reliability of the total scale was 0.833, and for the 4 dimensions, bladder, bowel, prolapse, and sexual function, the values were 0.776, 0.579, 0.732, and 0.645, respectively. The split-half reliability was 0.74. CONCLUSIONS The Chinese version of the questionnaire demonstrated good reliability and validity, indicating its applicability in assessing pelvic floor dysfunction and associated risk factors during pregnancy and postpartum.
Humans ; Female ; Surveys and Questionnaires ; Pregnancy ; Adult ; Postpartum Period ; Psychometrics ; Pelvic Floor Disorders/diagnosis* ; Cross-Sectional Studies ; Quality of Life ; Pelvic Floor/physiopathology* ; Reproducibility of Results ; China ; Translations ; Young Adult

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

To promote the development of extracellular vesicles of herbal medicine especially the establishment of standardization, led by the National Expert Committee on Research and Application of Chinese Herbal Vesicles, research experts in the field of herbal medicine and extracellular vesicles were invited nationwide with the support of the Expert Committee on Research and Application of Chinese Herbal Vesicles, Professional Committee on Extracellular Vesicle Research and Application, Chinese Society of Research Hospitals and the Guangdong Engineering Research Center of Chinese Herbal Vesicles. Based on the collation of relevant literature, we have adopted the Delphi method, the consensus meeting method combined with the nominal group method to form a discussion draft of "Consensus statement on research and application of Chinese herbal medicine derived extracellular vesicles-like particles (2023)". The first draft was discussed in online and offline meetings on October 12, 14, November 2, 2022 and April and May 2023 on the current status of research, nomenclature, isolation methods, quality standards and research applications of extracellular vesicles of Chinese herbal medicines, and 13 consensus opinions were finally formed. At the Third Academic Conference on Research and Application of Chinese Herbal Vesicles, held on May 26, 2023, Kewei Zhao, convenor of the consensus, presented and read the consensus to the experts of the Expert Committee on Research and Application of Chinese Herbal Vesicles. The consensus highlights the characteristics and advantages of Chinese medicine, inherits the essence, and keeps the righteousness and innovation, aiming to provide a reference for colleagues engaged in research and application of Chinese herbal vesicles at home and abroad, decode the mystery behind Chinese herbal vesicles together, establish a safe, effective and controllable accurate Chinese herbal vesicle prevention and treatment system, and build a bridge for Chinese medicine to the world.

ObjectiveTo improve the quality standard of Yuanhu Zhitong oral liquid in order to strengthen the quality control of this oral liquid. MethodThin layer chromatography（TLC） was used for the qualitative identification of Corydalis Rhizoma and Angelicae Dahuricae Radix in Yuanhu Zhitong oral liquid by taking tetrahydropalmatine， corydaline reference substances and Corydalis Rhizoma reference medicinal materials as reference， and cyclohexane-trichloromethane-methanol（5∶3∶0.5） as developing solvent， Corydalis Rhizoma was identified using GF254 glass thin layer plate under ultraviolet light（365 nm）. And taking petroleum ether（60-90 ℃） -ether-formic acid（10∶10∶1） as developing solvent， Angelicae Dahuricae Radix was identified using a silica gel G TLC plate under ultraviolet light（305 nm）. High performance liquid chromatography（HPLC） was performed on a Waters XSelect HSS T3 column（4.6 mm×250 mm， 5 μm） with acetonitrile（A）-0.1% glacial acetic acid solution（adjusted pH to 6.1 by triethylamine）（B） as the mobile phase for gradient elution（0-10 min， 20%-30%A； 10-25 min， 30%-40%A； 25-40 min， 40%-50%A； 40-60 min， 50%-60%A）， the detection wavelength was set at 280 nm， then the fingerprint of Yuanhu Zhitong oral liquid was established， and the contents of tetrahydropalmatine and corydaline were determined. ResultIn the thin layer chromatograms， the corresponding spots of Yuanhu Zhitong oral liquid， the reference substances and reference medicinal materials were clear， with good separation and strong specificity. A total of 12 common peaks were identified in 10 batches of Yuanhu Zhitong oral liquid samples， and the peaks of berberine hydrochloride， dehydrocorydaline， glaucine， tetrahydropalmatine and corydaline. The similarities between the 10 batches of samples and the control fingerprint were all >0.90. The results of determination showed that the concentrations of corydaline and tetrahydropalmatine had good linearity with paek area in the range of 0.038 6-0.193 0， 0.034 0-0.170 0 g·L^-1， respectively. The methodological investigation was qualified， and the contents of corydaline and tetrahydropalmatine in 10 batches of Yuanhu Zhitong oral liquid samples were 0.077 5-0.142 9、0.126 1-0.178 2 g·L^-1， respectively. ConclusionThe established TLC， fingerprint and determination are simple， specific and reproducible， which can be used to improve the quality control standard of Yuanhu Zhitong oral liquid.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.