Background As one of the primary operational methods in the power grid industry, the insulated glove working method imposes significant physical demands due to the constraints of insulating equipment and specific required postures, resulting in substantial occupational health hazards among workers in this sector, which have garnered widespread social attention. Objective To investigate the prevalence and influencing factors of work-related musculoskeletal disorders (WMSDs) in the neck, shoulder, and lumbar regions among workers wearing insulated gloves, and to provide targeted measures to reduce occupational hazards. Methods Using stratified cluster sampling, 1079 frontline workers were randomly selected from power supply enterprises across 3 provinces in China. The revised Chinese version of the Musculoskeletal Disorders Questionnaire was used to investigate the 1-year prevalence of WMSDs in the neck, shoulder, and lumbar regions among workers wearing insulated gloves, and to collect factors associated with multi-site WMSDs (defined as involvement of ≥2 sites among the neck, shoulder, and lumbar). Results The 1-year prevalence of WMSDs in the neck, shoulder, and lumbar regions was 39.9%, 30.0%, and 25.3%, respectively, with a multi-site WMSDs prevalence of 32.0%. Multiple logistic regression analysis showed that, compared to workers with technical secondary school education or senior high school education and below, workers with junior college education or bachelor’s degrees and above had a higher risk of multi-site WMSDs (OR=2.12, 95%CI: 1.47, 3.06). Compared to workers with <10 years of work experience, those with 10-<20 years of work experience had a higher risk of multi-site WMSDs (OR=1.96, 95%CI: 1.45, 2.67). Working in uncomfortable postures "sometimes" (OR=1.64, 95%CI: 1.14, 2.36), "frequently" (OR=2.75, 95%CI: 1.76, 4.29), and "very frequently" (OR=3.55, 95%CI: 2.04, 6.19) were significantly associated with an increased risk of multi-site WMSDs compared to never working in such postures. Frequent repetitive movements of the low back (OR=2.05, 95%CI: 1.48, 2.84) increased the risk of multi-site WMSDs, while sufficient rest time decreased the risk (OR=0.45, 95%CI: 0.34, 0.61). Conclusion The prevalences of single-site and multi-site WMSDs in the neck, shoulder, lumbar regions are relatively high among workers wearing insulated gloves. Factors associated with multi-site WMSDs include 10-<20 years of work experience, junior college education or bachelor’s degrees and above, uncomfortable working postures, frequent repetitive low-back movements, and lack of sufficient rest time.

Background As one of the primary operational methods in the power grid industry, the insulated glove working method imposes significant physical demands due to the constraints of insulating equipment and specific required postures, resulting in substantial occupational health hazards among workers in this sector, which have garnered widespread social attention. Objective To investigate the prevalence and influencing factors of work-related musculoskeletal disorders (WMSDs) in the neck, shoulder, and lumbar regions among workers wearing insulated gloves, and to provide targeted measures to reduce occupational hazards. Methods Using stratified cluster sampling, 1079 frontline workers were randomly selected from power supply enterprises across 3 provinces in China. The revised Chinese version of the Musculoskeletal Disorders Questionnaire was used to investigate the 1-year prevalence of WMSDs in the neck, shoulder, and lumbar regions among workers wearing insulated gloves, and to collect factors associated with multi-site WMSDs (defined as involvement of ≥2 sites among the neck, shoulder, and lumbar). Results The 1-year prevalence of WMSDs in the neck, shoulder, and lumbar regions was 39.9%, 30.0%, and 25.3%, respectively, with a multi-site WMSDs prevalence of 32.0%. Multiple logistic regression analysis showed that, compared to workers with technical secondary school education or senior high school education and below, workers with junior college education or bachelor’s degrees and above had a higher risk of multi-site WMSDs (OR=2.12, 95%CI: 1.47, 3.06). Compared to workers with <10 years of work experience, those with 10-<20 years of work experience had a higher risk of multi-site WMSDs (OR=1.96, 95%CI: 1.45, 2.67). Working in uncomfortable postures "sometimes" (OR=1.64, 95%CI: 1.14, 2.36), "frequently" (OR=2.75, 95%CI: 1.76, 4.29), and "very frequently" (OR=3.55, 95%CI: 2.04, 6.19) were significantly associated with an increased risk of multi-site WMSDs compared to never working in such postures. Frequent repetitive movements of the low back (OR=2.05, 95%CI: 1.48, 2.84) increased the risk of multi-site WMSDs, while sufficient rest time decreased the risk (OR=0.45, 95%CI: 0.34, 0.61). Conclusion The prevalences of single-site and multi-site WMSDs in the neck, shoulder, lumbar regions are relatively high among workers wearing insulated gloves. Factors associated with multi-site WMSDs include 10-<20 years of work experience, junior college education or bachelor’s degrees and above, uncomfortable working postures, frequent repetitive low-back movements, and lack of sufficient rest time.

The differentiation between benign and malignant thyroid nodules is pivotal in clinical practice. However, current diagnostic systems face challenges, such as heterogeneity in ultrasound interpretation, the invasiveness of fine-needle aspiration cytology and indeterminate of results. Artificial intelligence (AI) has evolved from traditional machine learning to deep learning, enabling advances in image recognition, feature extraction, and multimodal data integration. Nevertheless, AI applications remain constrained by limitations, including the insufficiency of high-quality annotated data and inadequate cross-center generalizability. Future progress will focus on algorithm refinement, multimodal data fusion, and multicenter clinical validation to enhance model generalizability and diagnostic accuracy.

Objective To analyze the law of acupoint selection and compatibility of acupuncture and moxibustion and the application law of acupuncture and moxibustion in the treatment of lactational mastitis using complex network technology.Methods The clinical research literature about acupuncture and moxibustion treatment of lactational mastitis was retrieved from CNKI,CBM,Wanfang Data,VIP and PubMed from the establishment of the databases to March 15,2025.The literature was screened according to the standards to build a prescription database of acupuncture and moxibustion treatment of lactational mastitis.SPSS Modeler 18.0 software was used to analyze association rules,and Gephi 0.9 software was used for complex network analysis.Results A total of 108 articles were included.141 acupuncture and moxibustion prescriptions were extracted,involving 74 acupoints,with a total use frequency of 677 times.The high-frequency acupoints were Jianjing,Danzhong,Rugen,Zusanli,Neiguan,etc.Specific acupoints were mainly composed of Wushu acupoints(169 times,21.10%);the acupoints were mainly distributed in the limbs(36);the most frequently used meridian was stomach meridian(168 times,24.82%).The combination of acupoints with the highest correlation was Jianjing-Neiguan-Rugen.Complex network analysis identified 22 core acupoints,with the most commonly used acupuncture method being filiform needle acupuncture(79 times).Conclusion Acupuncture and moxibustion treatment of lactational mastitis pays special attention to the selection of stomach meridian.The compatibility mode is mainly from top to bottom,and the corresponding acupoints are selected according to syndrome differentiation.

Objective To analyze the law of acupoint selection and compatibility of acupuncture and moxibustion and the application law of acupuncture and moxibustion in the treatment of lactational mastitis using complex network technology.Methods The clinical research literature about acupuncture and moxibustion treatment of lactational mastitis was retrieved from CNKI,CBM,Wanfang Data,VIP and PubMed from the establishment of the databases to March 15,2025.The literature was screened according to the standards to build a prescription database of acupuncture and moxibustion treatment of lactational mastitis.SPSS Modeler 18.0 software was used to analyze association rules,and Gephi 0.9 software was used for complex network analysis.Results A total of 108 articles were included.141 acupuncture and moxibustion prescriptions were extracted,involving 74 acupoints,with a total use frequency of 677 times.The high-frequency acupoints were Jianjing,Danzhong,Rugen,Zusanli,Neiguan,etc.Specific acupoints were mainly composed of Wushu acupoints(169 times,21.10%);the acupoints were mainly distributed in the limbs(36);the most frequently used meridian was stomach meridian(168 times,24.82%).The combination of acupoints with the highest correlation was Jianjing-Neiguan-Rugen.Complex network analysis identified 22 core acupoints,with the most commonly used acupuncture method being filiform needle acupuncture(79 times).Conclusion Acupuncture and moxibustion treatment of lactational mastitis pays special attention to the selection of stomach meridian.The compatibility mode is mainly from top to bottom,and the corresponding acupoints are selected according to syndrome differentiation.

BACKGROUND: Lung cancer has the highest mortality rate among all malignant tumors, and non-small cell lung cancer (NSCLC) accounts for about 80%-85% of all lung cancers. Lobectomy and lymph node dissection are one of the most important treatment methods, and lymph node dissection, as an important part, has attracted much attention. And its mode and scope of dissection may affect postoperative complications, particularly the occurrence of chronic cough. The aim of this study is to investigate the effect of lymph node dissection on postoperative chronic cough in patients with NSCLC undergoing lobectomy, and to provide clinical evidence for optimizing surgical strategy and reducing postoperative chronic cough. METHODS: A retrospective analysis was conducted on the clinical data of 365 NSCLC patients who underwent lobectomy at the First Affiliated Hospital of University of Science and Technology of China from December 2020 to December 2023. The relationship between clinical characteristics and postoperative chronic cough was analyzed. The Chinese version of the Leicester Cough Questionnaire (LCQ-MC) scores were collected from the patients at 2 time points: 1 day before surgery and 8 weeks after surgery. Patients were divided according to lymph node dissection methods, to explore the relationship between lymph node dissection and chronic cough after lobectomy. Additionally, patients were divided into chronic cough and non-chronic cough groups based on the presence of postoperative chronic cough, to investigate whether perioperative data, lymph node dissection methods, and lymph node dissection regions were influencing factors. RESULTS: Patients undergoing lobectomy were more likely to have chronic cough after surgery in the systematic lymph node dissection group than in the lymph node sampling group (P<0.05). LCQ-MC scale evaluation showed that the psychological, physiological, social and total score of the patients in systematic lymph node dissection group were significantly lower than those in lymph node sampling group (P<0.05). Multivariate analysis showed that anesthesia time, operation site, lymph node dissection method, whether to perform upper mediastinal lymph node dissection, number of upper mediastinal lymph node dissection, whether to perform lower mediastinal lymph node dissection and total number of lymph node dissection were independent risk factors for postoperative chronic cough in NSCLC patients (P<0.05). CONCLUSIONS When NSCLC patients underwent lobectomy, lymph node sampling was associated with a significantly lower risk of chronic cough than systematic lymph node dissection. Dissecting lymph nodes in the upper and lower mediastinal regions and the number of lymph nodes dissected may increase the risk of postoperative cough and reduce the quality of life of patients after surgery.
Humans ; Carcinoma, Non-Small-Cell Lung/surgery* ; Male ; Female ; Lung Neoplasms/surgery* ; Middle Aged ; Cough/etiology* ; Retrospective Studies ; Lymph Node Excision/methods* ; Aged ; Chronic Disease ; Postoperative Complications/etiology* ; Adult ; Lymph Nodes/surgery* ; Pneumonectomy/adverse effects* ; Chronic Cough

Glioma represents the most prevalent malignant tumor of the central nervous system, with chemotherapy serving as an essential adjunctive treatment. However, most chemotherapeutic agents exhibit limited ability to penetrate the blood-brain barrier (BBB). This study introduced a novel dual-targeting strategy for glioma therapy by modulating the formation of nanobody-driven protein coronas to enhance the brain and tumor-targeting efficiency of hydrophobic cisplatin prodrug-loaded lipid nanoparticles (C8Pt-Ls). Specifically, nanobodies (Nbs) with fibrinogen-binding capabilities were conjugated to the surface of C8Pt-Ls, resulting in the generation of Nb-C8Pt-Ls. Within the bloodstream, Nb-C8Pt-Ls could bound more fibrinogen, forming the protein corona that specifically interacted with LRP-1, a receptor highly expressed on the BBB. This interaction enabled a "Hitchhiking Effect" mechanism, facilitating efficient trans-BBB transport and promoting effective brain targeting. Additionally, the protein corona interacted with LRP-1, which is also overexpressed in glioma cells, achieving precise tumor targeting. Computational simulations and SPR detection clarified the molecular interaction mechanism of the Nb-fibrinogen-(LRP-1) complex, confirming its binding specificity and stability. Our results demonstrated that this strategy significantly enhanced C8Pt accumulation in brain tissues and tumors, induced apoptosis in glioma cells, and improved therapeutic efficacy. This study provides a novel framework for glioma therapy and underscores the potential of protein corona modulation-based dual-targeting strategies in advancing treatments for brain tumors.

The differentiation between benign and malignant thyroid nodules is pivotal in clinical practice. However, current diagnostic systems face challenges, such as heterogeneity in ultrasound interpretation, the invasiveness of fine-needle aspiration cytology and indeterminate of results. Artificial intelligence (AI) has evolved from traditional machine learning to deep learning, enabling advances in image recognition, feature extraction, and multimodal data integration. Nevertheless, AI applications remain constrained by limitations, including the insufficiency of high-quality annotated data and inadequate cross-center generalizability. Future progress will focus on algorithm refinement, multimodal data fusion, and multicenter clinical validation to enhance model generalizability and diagnostic accuracy.

Background and objective Chronic cough after pulmonary resection is one of the most common complications,which seriously affects the quality of life of patients after surgery.Therefore,the aim of this study is to explore the risk factors of chronic cough after pulmonary resection and construct a prediction model.Methods The clinical data and postoperative cough of 499 patients who underwent pneumonectomy or pulmonary resection in The First Affiliated Hospital of University of Science and Technology of China from January 2021 to June 2023 were retrospectively analyzed.The patients were randomly divided into training set(n=348)and validation set(n=151)according to the principle of 7:3 randomization.According to whether the patients in the training set had chronic cough after surgery,they were divided into cough group and non-cough group.The Mandarin Chinese version of Leicester cough questionnare(LCQ-MC)was used to assess the severity of cough and its impact on patients'quality of life before and after surgery.The visual analog scale(VAS)and the self-designed numerical rating scale(NRS)were used to evaluate the postoperative chronic cough.Univariate and multivariate Logistic regression analysis were used to analyze the independent risk factors and construct a model.Receiver operator characteristic(ROC)curve was used to evaluate the discrimination of the model,and calibration curve was used to evaluate the consistency of the model.The clinical application value of the model was evaluated by decision curve analysis(DCA).Results Multivariate Logistic analysis screened out that preoperative forced expiratory volume in the first second/forced vital capacity(FEV1/FVC),surgical procedure,upper mediastinal lymph node dissection,subcarinal lymph node dissection,and postoperative closed tho-racic drainage time were independent risk factors for postoperative chronic cough.Based on the results of multivariate analysis,a Nomogram prediction model was constructed.The area under the ROC curve was 0.954(95％CI:0.930-0.978),and the cut-off value corresponding to the maximum Youden index was 0.171,with a sensitivity of 94.7％and a specificity of 86.6％.With a Bootstrap sample of 1000 times,the predicted risk of chronic cough after pulmonary resection by the calibration curve was highly consistent with the actual risk.DCA showed that when the preprobability of the prediction model probability was be-tween 0.1 and 0.9,patients showed a positive net benefit.Conclusion Chronic cough after pulmonary resection seriously af-fects the quality of life of patients.The visual presentation form of the Nomogram is helpful to accurately predict chronic cough after pulmonary resection and provide support for clinical decision-making.

With the deepening of modern drug research,traditional computer simulation can not meet the needs of future drug design experiments.As a classic technology of standard computer simulation,molecular simulation can construct and analyze complex molecular models to study the dynamic processes of molecular motion.However,the simulation results are easy to be affected by human factors.In recent years,the integration of artificial intelligence and molecular simulation has become a new method of drug design research.Artificial intelligence technology uses big data to screen out the corresponding compounds for molecular simulation and feedback on the simulation results to the artificial intelligence system to optimize the artificial neural network.The combination of artificial intelligence and molecular simulation technology improves the efficiency of drug design research,reduces the influence of human factors on simulation results,and increases the credibility of simulation results.In this review,we summarized the progress of artificial intelligence and molecular simulation technology in drug design to provide a reference for the change from computer assisted drug design(CADD)to artificial intelligence-aided drug design(AIDD)in future pharmaceutical development.