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

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.

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

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.

Objective To investigate and analyze the current situation of the construction of Smart Hospital in the dis-trict-level hospital of Beijing,and to provide reference for thedistrict-level hospitals to promote the construction of Smart Hospitals.Methods A questionnaire survey was conducted in Beijing district-level hospitals,and the construc-tion of Smart Hospital was analyzed by descriptive statistical analysis.Results The overall construction rate of Beijing district-level hospitals smart service business function was 50.98％,and the overall average construction rate of hos-pital smart management business function was 46.72％.93.75％hospitals thought that the investment in Smart Hos-pital construction was insufficient.The functions of smart service and management in different grades and categories of hospitals were different.Conclusion In order to promote the construction of Smart Hospital in Beijingdistrict-level hospitals,we should improve the top-level system such as strategic planning for the construction of smart hospi-tals,increase the investment in hospital informatization and talent teams,strengthen the standardization of intercon-nection between different hospitals,enhance the sharing and utilization of medical data and information,and strengthen the application of new hospital technologies and hospital information security.

Depression,as a severe psychological and psychiatric disorder,significantly impairs the long-term physical and mental health of patients.Current depression detection methods are plagued by strong subjectivity,limited techniques,and inadequate intelligence.Previous studies have mostly relied on single-modal signal analysis,making it difficult to comprehensively reflect the multidimensional characteristics of depression.Based on the independently developed intelligent depression detection system,wearable devices are used to collect prefrontal dual-lead EEG signals,PPG signals,and single-lead ECG signals.Data from 30 patients with depression and 40 healthy controls are collected and analyzed.A multimodal depression recognition model named RBLF-Net is proposed,which integrates spatiotemporal features,weighted attention,and random forests to utilize the multi-signal features for depression recognition.The model exhibits superior performance in the five-fold cross-validation,achieving a classification accuracy of 81.43%,a precision of 81.02%,and a recall rate of 81.25%,outperforming other comparative models,and thus providing an intelligent analysis approach for depression recognition from the perspective of multi-modal fusion.

Objective To present an assessment method based on oscillometric upper-arm cuff pressure wave for realizing home-based detection of arteriosclerosis.Methods An upper-arm cuff pressure wave acquisition device based on an electronic blood pressure monitor was designed to implement data collection for cuff inflation and deflation,as well as the 15 s pressure holding phase.Following preprocessing of the data collected during this holding phase,individual pulse waves were extracted for pulse decomposition analysis(PDA).A novel model that superimposed a logarithmic normal function with two Gaussian functions,and an optimization method that combined template matching and particle swarm optimization were proposed to efficiently and accurately extract PDA features.Gaussian process regression was employed for multifeature fusion analysis,leading to the proposal of a new predictive indicator for arteriosclerosis.Results The mean absolute error of PDA was less than 1.2%,and the average processing time for a single pulse wave was less than 0.2 s.The regression determination coefficient R2 between the obtained indicators and baPWV was 0.8178.Conclusion The analysis on upper-arm cuff pressure wave provides a new reference for non-invasive arteriosclerosis detection,and it can be applied to electronic blood pressure monitors for home-based monitoring,offering significant practical value.

With the rapid advancements in minimally invasive spine surgery and the increasingly sophisti-cated concept of visualization,transforaminal endoscopic lumbar discectomy(TELD)has become a primary treatment for lumbar disc herniation.Among the critical preoperative steps in TELD,foraminalplasty plays a pivotal role,as its quality directly impacts surgical outcomes and postoperative recurrence rates.This article systemati-cally reviews the evolution of foraminalplasty techniques,evaluates the selection and application of plasty sites,examines factors influencing stability after lumbar foraminalplasty,and highlights recent advancements in computer-assisted navigation.The goal is to serve as a comprehensive reference for clinicians.

This study aims to establish an efficient protoplast-mediated genetic transformation sys-tem for Pochonia chlamydosporia(P.chlamydosporia)to facilitate gene transformation,genetic modification,and subsequent biological function research.Through orthogonal testing,the study systematically optimized key factors influencing electroporation,including voltage,osmotic stabi-lizer,pulse time,nucleic acid concentration,and protoplast concentration.The results showed that the optimal electroporation conditions were:voltage of 250 V,osmotic stabilizer as 0.6 mol/L su-crose solution,pulse time of 10 ms,plasmid concentration of 1％,and protoplast concentration of 1×107 protoplasts/mL,yielding a transformation efficiency of 0.4 × 103 CFU/pg.The interaction analysis revealed that the five factors affected transformation efficiency in the following order:plasmid concentration＞protoplast concentration＞pulse time＞osmotic stabilizer type＞voltage.Based on the positive transformants,the study further evaluated their colony morphology,growth rate,conidial yield,mycelial dry weight,and the ability to infect the eggs of three types of animal gastrointestinal nematodes.The results indicated that the electroporation process did not signifi-cantly affect the biological functions of P.chlamydosporia.The transformants successfully ex-pressed enhanced green fluorescent protein(EGFP),and PCR analysis confirmed the successful in-tegration of the thiostrepton resistance gene.In conclusion,this study successfully established a protoplast-based electroporation-mediated genetic transformation system for P.chlamydosporia,providing a valuable foundation for further research into the mechanism of egg parasitism and the underlying genes involved in its biocontrol activity.

The pathogenesis and progression of depression are closely associated with functional dysregula-tion in the brain's reward and emotion-modulating circuits.As the central hub of the reward system,the nucleus accumbens(NAc)forms aberrant neural circuits with multiple brain regions-including the ventral tegmental area(VTA),medial prefrontal cortex(mPFC),amygdala(AMY),hippocampus(HIP),and paraventricular nucleus of the thalamus(PVT)-which have been empirically linked to depressive symptomatology.Acupuncture,with its multi-target therapeutic profile,aligns well with the multifactorial and multisystem dysregulation characteristic of depressive disorders.This review systematically examines the functional alterations of the NAc-centered neural circuitry in depression and explores the potential mechanisms of acupuncture intervention.Evidence suggests that acupuncture holistically ameliorates depression by:modulating dopaminergic transmission in the VTA-NAc pathway,enhancing neurotransmitter equilibrium in the mPFC-NAc circuit,bidirectionally regulating emotional stability via the AMY-NAc loop,attenuating HIP-NAc glutamatergic hyperactivity,and optimizing excitatory signaling in the thalamus-NAc circuit.Furthermore,this synthesis emphasizes a systems-level integration of circuit mechanisms,highlighting both the clinical applicability of acupuncture in depression treatment and recent advances in mechanistic research.The findings provide robust theoretical foundations and practical guidance for clinical practice,bridging translational neuroscience with therapeutic innovation.