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.

Background Hypertension is one of the chronic diseases with the highest prevalence in China, and a history of hypertension may potentially exacerbate hearing loss. Investigating the association between long-term blood pressure trends and hearing thresholds could contribute to hearing protection efforts for occupationally noise-exposed populations. Objective By investigating hearing thresholds and blood pressure levels among occupationally noise-exposed workers in an urban rail transit enterprise, and conducting a comprehensive analysis of the association between long-term blood pressure changes and hearing thresholds, to provide data references for health management strategies targeting occupationally noise-exposed workers. Methods Workers exposed to occupational noise at a rail transit enterprise were enrolled as study subjects and underwent pure-tone audiometry. Group-based trajectory modeling was employed to identify blood pressure trajectories. Categorical data were compared using chi-square tests, while normally distributed continuous variables were analyzed via t-tests and analysis of variance (ANOVA). Generalized linear mixed models (GLMMs) were subsequently applied toexamine associations between these trajectory groups and high-frequency hearing thresholds. Results Among 2 002 occupationally noise-exposed workers, the median (P₂₅, P₇₅) age was 32 (28, 35) years, with a median (P₂₅, P₇₅) working tenure of 7 (3, 10) years. In 2019, the positive hypertension rate was 9.04%, with a mean systolic blood pressure (SBP) of (122.97±11.60) mmHg and a mean diastolic blood pressure (DBP) of (76.37±9.02) mmHg. The hearing loss prevalence was 10.1%, showing bilateral high-frequency average hearing thresholds of (17.18±8.71) dB and speech-frequency average thresholds of (13.79±3.46) dB. Three distinct trajectory groups were identified for both SBP and DBP. Compared with other trajectory groups, the high-stable DBP group exhibited significantly higher hearing loss prevalence (χ²=6.34, P=0.042) and elevated high-frequency hearing thresholds (all Ps<0.05). Specifically, within the 30-39 age subgroup, the moderate-stable DBP group demonstrated 1.96 dB lower high-frequency thresholds than the high-stable group [β(95%CI): −1.96 (−3.61, −0.32), P=0.020]. Conclusion Among occupationally noise-exposed workers in a municipal rail transit enterprise, DBP trajectories demonstrated a positive association with high-frequency hearing thresholds. Notably, in young and middle-aged occupationally noise-exposed populations, DBP may exert a more critical influence than SBP on the progression of hearing loss.

Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.

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 analyze the effect of residual cholesterol (RC) on hearing loss in noise-exposed workers. Methods A total of 3 412 workers engaged in noise operation work in an underground railway enterprise were selected as the research subjects using the judgment sampling method. Their occupational health examination data were collected to analyze the relationship between RC and hearing loss. Results The noise intensity of workplace in the underground rail enterprise was 80.0-85.0 (81.4±3.2) dB(A). The detection rate of hearing loss was 20.2% (691/3 412). The rates of abnormal total cholesterol, triacylglycerol, high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol were 35.6%, 25.7%, 9.5% and 42.4%, respectively. The median and the 25th and 75th percentiles [M(P₂₅,P₇₅)] of RC level were 0.24 (0.15, 0.37) mmol/L. The levels of total cholesterol, triacylglycerol and RC of workers in hearing loss group were higher than those in normal hearing group [M(P₂₅,P₇₅): 4.91(4.37, 5.58) vs 4.84(4.30, 5.46) mmol/L, 1.29(0.91, 1.93) vs 1.16(0.82, 1.67) mmol/L, 0.26(0.16, 0.41) vs 0.24(0.14, 0.37) mmol/L, all P<0.05]. The detection rate of hearing loss in abnormal triglyceride group was higher than that in normal triglyceride group (24.8% vs 18.7%, P<0.01), and the detection rate of hearing loss in abnormal HDL-C group was higher than that in normal HDL-C group (25.0% vs 19.8%, P<0.05). The higher the serum RC level, the higher the detection rate of hearing loss (P<0.01). Multivariate logistic regression result showed that individual with older age, longer work time and higher serum RC level had higher risk of hearing abnormality (all P<0.05), and the risk of hearing abnormality was higher in patients with abnormal fasting blood glucose than patients with normal faseing blood glucose (P<0.05) after controlling for confounding factors such as gender, alcohol consumption, body mass index, and elevated blood pressure. However, abnormal triacylglycerol and HDL-C levels were not significantly related to the risk of hearing abnormality (both P>0.05). Conclusion Serum RC levels are an independent risk factor for hearing loss among noise-exposed workers exposed to noise level of 80.0-85.0 dB(A) in the workplace.

This review aimed to provide a comprehensive analysis of the etiology, epidemiology, pathology, and conventional treatment of heterotopic ossification (HO), especially emerging potential therapies. HO is the process of ectopic bone formation at non-skeletal sites. HO can be subdivided into two major forms, acquired and hereditary, with acquired HO predominating. Hereditary HO is a rare and life-threatening genetic disorder, but both acquired and hereditary form can cause severe complications, such as peripheral nerve entrapment, pressure ulcers, and disability if joint ankylosis develops, which heavily contributes to a reduced quality of life. Modalities have been proposed to treat HO, but none have emerged as the gold standard. Surgical excision remains the only effective modality; however, the optimal timing is controversial and may cause HO recurrence. Recently, potential therapeutic strategies have emerged that focus on the signaling pathways involved in HO, and small molecule inhibitors have been shown to be promising. Moreover, additional specific targets, such as small interfering RNAs (siRNAs) and non-coding RNAs, could be used to effectively block HO or develop combinatorial therapies for HO.
Humans ; Ossification, Heterotopic/genetics*

Objective:To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia(ChP)2025 Edition,and explore its novel requirements in risk-based pharmaceutical product lifecycle management.Methods:A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview,international harmonization of microbiological standards,risk-based quality man-agement system,and novel tools and methods with Chinese characteristics.Results:The ChP 2025 edition demon-strates three prominent features in microbiological-related standards:enhanced international harmonization,intro-duced emerging molecular biological technologies,and established a risk-based microbiological quality control sys-tem.Conclusion:The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system,which significantly improves the scientificity,standardization and applicability of the standards,providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.

Objective:To explore the effect of virtual reality (VR) technology in postoperative pain management for surgical patients.Methods:The literature on VR technology for relieving postoperative pain in surgical patients was electronically retrieved from eight databases, including PubMed, Web of Science and so on. The search period was from database establishment to November 19, 2023. Two researchers independently screened literature, extracted data, and conducted literature quality evaluation, using RevMan 5.4 for Meta-analysis.Results:A total of 18 articles were included. Meta-analysis results showed that VR technology could reduce postoperative resting pain scores [ MD=-1.13, 95% CI (-1.29, -0.96), P<0.001], postoperative 12 hour pain scores [ MD=-0.49, 95% CI (-0.73, -0.24), P<0.001], postoperative 24 hour pain scores [ MD=-0.73, 95% CI (-0.92, -0.54), P<0.001], postoperative 48 hour pain scores [ MD=-0.69, 95% CI (-0.84, -0.53), P<0.001], postoperative 72 hour pain scores [ MD=-0.37, 95% CI (-0.59, -0.16), P<0.001], and postoperative pain scores during dressing changes [ MD=-1.11, 95% CI (-2.06, -0.16), P=0.02], and could improve patient postoperative comfort [ MD=8.31, 95% CI (6.57, 10.06), P<0.001] . Conclusions:As a non-pharmacological intervention, VR technology can alleviate postoperative pain and improve patient comfort in surgical patients. In the future, large-scale and high-quality research is still needed to further verify the effectiveness of VR technology.

Objective:To explore the current situation and influencing factors of amputation decision-making dilemma of diabetic foot patients.Methods:From July to December 2023, 200 patients with diabetic foot in the Tianjin Medical University General Hospital and Tianjin Medical University Chu Hsien-I Memorial Hospital were selected as study subjects by convenience sampling. General Information Questionnaire, Decisional Conflict Scale (DCS), Family APGAR Index, and Hospital Anxiety and Depression Scale were used to conduct a cross-sectional survey. Pearson correlation was used to analyze the correlation between diabetic foot patients' amputation decision-making dilemma and family caring, anxiety and depression, and multiple linear regression was used to analyze the influencing factors of diabetic foot patients' amputation decision-making dilemma.Results:A total of 200 questionnaires were distributed, and 180 valid questionnaires were collected, with a valid response rate of 90.0% (180/200). The DCS score of 180 patients with diabetic foot was (30.04±9.77), 76.7% (138/180) patients scored ≥25.0, and they had decision-making dilemma, and 25.0% (45/180) of patients scored ≥37.5, indicating decision-making delay. Multiple linear regression analysis showed that occupational status, diabetes course, family caring, anxiety and depression were the influencing factors of amputation decision-making dilemma of diabetic foot patients ( P<0.05) . Conclusions:Diabetic foot patients face certain dilemmas in the process of amputation decision-making. Clinical medical and nursing staff should reasonably evaluate the patient's occupational status, disease course, family caring, and psychological state, and develop personalized decision support strategies to improve decision quality and prevent changes in the patient's condition caused by delayed decision-making.

Objective:To explore the feasibility and consistency of a new digital classification system of pelvic fractures named as JST classification based on close reduction techniques.Methods:A retrospective collection was conducted of the data from the 63 patients with pelvic fracture who had undergone surgical treatment after JST classification at Department of Orthopaedics and Traumatology, Beijing Jishuitan Hospital from March 2021 to March 2023. Digital classification of the pelvic fractures was performed based on their locations and displacements. The classification first divides the pelvis into 4 parts: left half pelvis and right half pelvis; sacral Denis Ⅲ area and pubic symphysis. The symmetrical left and right sacral Denis Ⅰ and Denis Ⅱ areas are also included in the left/right half pelvis. Subsequently, the left half pelvis and right half pelvis are divided into 4 regions and marked by capitalized English letters: Sacrum Area (including Denis Ⅰ and Denis Ⅱ, denoted as S), Sacroiliac Joint Area (denoted as J), Iliac Area (denoted as I), and Pubic Area (denoted as P); to distinguish right/left, R and L are used as prefixes. The 2 asymmetric parts are also marked with English letters: Denis Ⅲ area of the sacrum (denoted as Sac), and pubic symphysis (denoted as C). Afterwards, the fracture line morphology and displacement in each region are marked digitally to form a complete JST classification system. The inter- and intra-observer reliabilities (Fleiss' and Cohen's Kappa) of the JST classification system were tested by 3 observers with more than 10 years of experience in pelvic fracture treatment.Results:Consistency analysis of the JST classification results showed that the mean κ value of the intra-observer reliability was 0.818 (from 0.658 to 0.946, P<0.001) and the inter-observer reliability 0.873 (from 0.674 to 1.000, P<0.001), both indicating excellent agreement. Of the 63 patients, 59 obtained successful closed reduction with the assistance of the Rossum Robot R-Universal intelligent orthopedic surgical robot system after fracture classification by the JST system, yielding a success rate of 93.7% (59/63). Conclusions:The new JST classification system for pelvic fractures demonstrates strong intra and inter-observer reliabilities compared with traditional classification systems. As JST classification system labels each fracture site and key bones, it is of great significance for the deep learning and intraoperative operations of intelligent fracture robots.