ObjectiveTo systematically compare the effects of diverse electromagnetic stimulation protocols on hand function and activities of daily living (ADL) in stroke patients using network meta-analysis (NMA), and screen the optimal stimulation strategy for post-stroke hand dysfunction rehabilitation. MethodsNMA was performed in accordance with the PRISMA-NMA statement. Databases of CNKI, Wanfang data, VIP, CBM, PubMed, Web of Science and Embase were searched from database inception to April, 2026 for eligible randomized controlled trials (RCTs) comparing different electromagnetic stimulation protocols for post-stroke hand impairment. The Cochrane Risk of Bias tool and PEDro scale were used to assess methodological quality of included studies, while the GRADE system was adopted to grade evidence quality of primary outcomes of Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and modified Barthel Index (MBI). After literature screening, data extraction and bias evaluation, RevMan 5.4 and Stata 17.0 were used for meta-analysis and NMA. ResultsA total of 22 RCT involving 17 electromagnetic stimulation protocols were finally included. The PEDro scores ranged from six to ten. The top five protocols for improving FMA-UE score were repetitive peripheral magnetic stimulation (rPMS) + repetitive transcranial magnetic stimulation (rTMS), intermittent theta-burst stimulation (iTBS) + rPMS, iTBS + transcranial direct current stimulation (tDCS), transcutaneous electrical acupoint stimulation (TEAS) and contralaterally controlled functional electrical stimulation (CCFES). tDCS was the most effective on MBI, followed by TEAS and iTBS+rPMS. Evidence quality for FMA-UE and MBI was moderate. Funnel plots suggested low risk of publication bias, and consistency tests verified good coherence between direct and indirect comparisons in network models. ConclusionElectromagnetic stimulation significantly facilitates upper limb and hand functional recovery, and improves ADL in stroke patients. The combined central-peripheral magnetic stimulation protocol may be the most effective on motor rehabilitation, whereas tDCS on ADL.

Objective To analyze the clinical and epidemiological characteristics of influenza A(H3N2) in Tangshan City, Hebei Province, from 2023 to 2025, and to provide a scientific basis for precise prevention and control of local influenza. Methods The influenza-like cases and influenza outbreak cases in the influenza surveillance sentinel hospitals in Tangshan City from January 2023 to December 2025 were included in this study. The clinical characteristics and epidemic characteristics of H3N2 influenza patients were analyzed by descriptive epidemiological methods and chi-square test. Results A total of 11 567 influenza case samples were tested in the study, with a positive rate of 9.34% (1 080/11 567). Influenza A (H3N2) remained the predominant circulating subtype throughout the study period. January 2023 to February 2023 marked the tailing end of the previous season’s H3N2. Then, a minor peak dominated by H1N1 occurred from March to June, and H3N2 circulated again from October to December, peaking in December. From September 2024 to December 2024, H1N1 and H3N2 circulated concurrently, with H3N2 as the dominant strain, peaking in January of the following year. From March 2025 to September 2025, influenza activity remained at low level, and activity began to rise in October, with H1N1 peaking in November before declining, and H3N2 becoming the dominant strain in December. H3N2 mainly occurred in the 5-14 years old group. Cases in the 0–4-year-old group were primarily characterized by gastrointestinal symptoms, with high fever being common. Cases in the 5–59-year-old group were primarily characterized by systemic and respiratory symptoms, with better clinical outcomes. Cases aged 60 and older exhibited the highest rates of hospitalization, severe illness, and incidence of complications. Conclusion From 2023 to 2025, the influenza virus in Tangshan City, Hebei Province is dominated by influenza A (H3N2). The epidemic is characterized by a peak incidence during autumn and winter, co-circulation with H1N1, and fluctuations during the peak period. It is necessary to pay attention to the clinical management and prevention and control of influenza A (H3N2) in infants and the elderly.

Objective: To investigate the associations of sleep quality and weight stigma with depressive mood among college students, so as to provide evidence for mental health promotion in higher education institutions. Methods: From September to November 2024, a stratified cluster random sampling method was used to survey 4 524 undergraduate students from the first to third year in comprehensive universities across various cities in Inner Mongolia. The χ 2 test was used to compare the detection rates of poor sleep quality, experiences of weight stigma, and depressive mood among students with different characteristics, and multivariate Logistic regression analysis was conducted to examine the independent and combined associations between sleep quality, the number of types of weight stigma experienced, and depressive mood. Results: Among students, the detection rate of poor sleep quality was 21.60%; those with experiences of weight stigma had a detection rate of 11.52%; those with depressive mood had a detection rate of 9.46%. Multivariate Logistic regression analysis showed that, compared with those who had good sleep quality, individuals with poor sleep quality were more likely to experience depressive mood [ OR (95% CI )=2.99(2.41- 3.71 )]; compared with those who had no experience of weight stigma, individuals who experienced ≥2 types of weight stigma were more likely to experience depressive mood [ OR (95% CI )=4.51(2.82-7.22)] (both P <0.01). Multivariate Logistic regression analysis, with "good sleep quality and no weight stigma experience" as the reference group, showed that all other joint groups had a higher likelihood of developing depressive mood, with the highest likelihood observed among students who had poor sleep quality and had experienced ≥2 types of weight stigma [ OR (95% CI )=14.21(6.95-29.06), P <0.01]. Conclusions Poor sleep quality and a greater number of weight stigma types are both associated with depressive mood among college students. Mental health programs in higher education institutions should simultaneously address students sleep problems and weight related adverse experiences, and implement comprehensive interventions.

Objective:To investigate the current status and influencing factors of barriers to going out among elderly patients with chronic obstructive pulmonary disease (COPD), and to provide a reference for implementing targeted preventive measures.Methods:Elderly COPD patients from the People's Hospital of Xinjiang Uygur Autonomous Region were selected between January and May 2024 by convenience sampling. A cross-sectional survey was conducted using a general information questionnaire, Scale on Barriers to Going Out for the Elderly, Perceived Isolation Scale and COPD Assessment Test (CAT).Results:A total of 270 questionnaires were distributed, with 250 valid responses, the effective response rate was 92.6%. Among the 250 elderly COPD patients, there were 124 males and 126 females, with age distributions: 116 patients aged 60-69 years, 94 aged 70-79 years, and 40 aged ≥80 years. The total score for Scale on Barriers to Going Out for the Elderly was (20.01 ± 4.09). The score on barriers to going out in elderly COPD patients were positively correlated with the Perceived Isolation Scale and CAT scores ( r = 0.456 and 0.625, both P <0.05). Multiple linear regression analysis revealed that age, oxygen therapy, exercise habits,Perceived Isolation Scale, and CAT score classification were the main influencing factors for barriers to going out ( t values were -2.85 to 8.93, all P<0.05), explaining 63.0% of the total variance. Conclusions:The level of barriers to going out in elderly COPD patients is moderate-to-high level. Healthcare professionals should emphasize the assessment of barriers to going out, closely monitor high-risk groups, and develop and implement interventions to prevent such barriers.

Objective:To observe the effects of auricular point compression and exercise therapy on glycolipid metabolism,oxidative stress and sleep quality in type 2 diabetes mellitus(T2DM)patients with poor glycemic control.Methods:This study was a single-center randomized controlled study,86 T2DM patients with poor glycemic control who were treated in our hospital from June 2022 to June 2024 were divided into control group(received conventional treatment,n=43)and observation group(received auricular point compression and exercise therapy,n=43)by using the random number table method.The clinical efficacy,blood lipid indexes,blood glucose indexes,oxidative stress indexes and sleep quality were compared between the two groups.Results:The total clinical effective rate,high-density lipoprotein cholesterol(HDL-C),superoxide dismutase(SOD)and Glutathione peroxidase(GSH-Px)of the observation group after treatment were higher than those of the control group,and the fasting blood glucose(FBG),glycated hemoglobin(HbA1c),Homeostatic Model Assessment of Insulin Resistance(HOMA-IR),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),triglycerides(TG),reactive oxygen species(ROS),malondialdehyde(MDA)and Pittsburgh sleep Quality Index(PSQI)score were lower than those of the control group(P＜0.05).Conclusion:Auricular point compression and exercise therapy can regulate glycolipid metabolism in T2DM patients with poor glycemic control,improve the degree of oxidative stress and sleep quality.

Processing for deodorization is widely used in the production of animal-derived Chinese medicinal materials. In this study, Heracles Neo ultra-fast gas-phase electronic nose combined with chemometrics was employed to analyze the overall odor difference of Cervi Cornu Pantotrichum(focusing on that derived from Cervus nippon Temminck in this study) before and after processing. The results showed that the electronic nose effectively distinguished between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. HS-GC-MS was used to identify and quantify the volatile components in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum, and 35 and 37 volatile components were detected in the medicinal materials and decoction pieces, respectively. The medicinal materials and decoction pieces contained 28 common volatile components contributing to the odor of Cervi Cornu Pantotrichum. The odor activity value(OAV) of each volatile component was calculated based on the olfactory threshold and relative content. The results showed that there were 17 key odor substances such as isovaleraldehyde, 2-methylbutanal, isobutyraldehyde, hexanal, and methanethiol in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. All of them had bad odor and were the main source of the odor of Cervi Cornu Pantotrichum. The results of principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) showed that there were significant differences in volatile components between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. Based on the thresholds of P<0.05 and Variable Importance in Projection(VIP)>1, 21 differential volatile odor components were screened out. Among them, isopentanol, isovaleraldehyde, 2-methylbutanal, n-nonanal, and dimethylamine were the key differential odor compounds between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. The odor compounds and their relative content reduced, and some flavor substances such as esters were produced after processing with wine, which was the main reason for the reduction of the odor after processing of Cervi Cornu Pantotrichum.
Odorants/analysis* ; Electronic Nose ; Gas Chromatography-Mass Spectrometry/methods* ; Animals ; Volatile Organic Compounds/analysis* ; Deer ; Drugs, Chinese Herbal/chemistry*

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

Objective To assess the intervention effect of nicotinamide mononucleotide (NMN) on the mouse model of hematotoxicity induced by subacute benzene exposure. Methods Benzene exposure and NMN intervention were adopted in a 2×2 factorial design, as benzene exposure and non-exposure, and NMN intervention and non-intervention. Male specific pathogen-free C57BL/6J mice were randomly assigned to negative control group, NMN control group, simple benzene exposure group and NMN intervention group, with 12 mice in each group. Benzene exposure of mice in simple benzene exposure group and NMN intervention group was conducted by dynamic inhalation of benzene at a concentration of 325 mg/m³ for six hours per day, five days per week for four weeks (28 days). Mice in the negative control and NMN control group inhaled clean air. During benzene exposure, mice in the NMN control group and NMN intervention group received NMN in drinking water at a dose of 300 mg/kg body weight. Peripheral blood samples of mice were collected for complete blood count analysis and calculation of composite inflammatory indices after 28 days. Results Interaction analysis showed that the counts of peripheral white blood cell, neutrophil, lymphocyte, and platelet of mice in the simple benzene exposure group were lower than those in the negative control group (all P<0.05). Neutrophil and platelet counts in the NMN intervention group were higher than those in the simple benzene exposure group (all P<0.05). The results of main effect analysis showed that the monocyte count of peripheral blood, systemic inflammatory index, systemic inflammatory response index, neutrophil/lymphocyte ratio and platelet/lymphocyte ratio of mice in the benzene exposure group increased (all P<0.05), and the basophil count and lymphocyte/monocyte ratio decreased (all P<0.05), compared with the control group. Conclusion Oral NMN alleviates subacute benzene-induced decreases in peripheral neutrophil and platelet counts in mice. This protective effect may be related to the targeted intervention of NMN on mitochondrial energy metabolism disorder and oxidative damage induced by benzene exposure in male mice.

BACKGROUND:Paraspinal muscle degeneration is one of the main causative factors of low back pain,and the changes in the paraspinal muscles are closely related to its occurrence and development.At present,clinical practitioners focus on the changes of paraspinal muscles in degenerative lumbar diseases to prevent and treat lumbar diseases,but ignore the connection and related mechanisms between lumbar intervertebral disc degeneration and paraspinal muscles.OBJECTIVE:To comprehensively summarize the interaction between paraspinal muscles and lumbar intervertebral discs,and to review the relationship and mechanisms between lumbar intervertebral disc degeneration and paraspinal muscles,in order to provide a reference for clinical prevention and treatment.METHODS:Chinese keywords"lumbar intervertebral disc,paraspinal muscle,multifidus muscle,low back pain,degeneration,imaging,magnetic resonance imaging"were used to search the relevant literature in Chinese databases such as CNKI,VIP,and WanFang.English keywords"lumbar disc,paraspinal muscle,multifidus muscle,low back pain,degeneration,imaging,MRI"were used to search the relevant literature in databases such as Medline,PubMed,and Web of Science.After preliminary screening of titles and abstracts,68 articles were finally selected for result analysis according to the inclusion and exclusion criteria.RESULTS AND CONCLUSION:(1)Researchers have used various methods to evaluate the degree of paraspinal muscle degeneration,and at the same time evaluated the degree of lumbar intervertebral disc degeneration according to the Pfirrmann grading system.It is found that clinical diagnosis and treatment should pay attention to gender differences,and the influence of factors such as obesity on the degeneration of intervertebral discs and muscles,in order to develop more individualized treatment plans.(2)There is a certain correlation between lumbar intervertebral disc degeneration and paraspinal muscle fat infiltration,but the research results are controversial.Most studies have found that fat infiltration of the paraspinal muscles(especially the multifidus muscle)is positively correlated with the degree of lumbar intervertebral disc degeneration.(3)It is currently believed that the three mechanisms of disuse atrophy,denervation,and inflammatory factors may interact with each other to jointly lead to structural and functional changes in the paraspinal muscles,which are closely related to the occurrence of lumbar intervertebral disc degeneration and low back pain.(4)Clinically,attention should be paid to the changes of the muscles at the level below the affected nerve root segment,which is helpful for the diagnosis and localization of lumbar radiculopathy.At the same time,inhibition of inflammatory factors may become a potential target for treatment.(5)Clinically,the first step is to correct nerve root compression through appropriate medication or surgery to control inflammatory reactions and nerve root pain,and then carry out targeted muscle rehabilitation training.If necessary,consider using new treatment methods such as interferential current electrical stimulation to improve the patient's symptoms and prognosis.

Objective:To screen and extract relevant evidence on the management of malnutrition in pediatric cancer patients and provide a best evidence summary.Methods:A systematic search was conducted across multiple websites and databases, including UpToDate, BMJ Best Practice, WHO website, Guidelines International Network, National Institute for Health and Care Excellence, National Guideline Clearinghouse, PubMed, Web of Science Core Collection, Embase, Cochrane Library, China National Knowledge Infrastructure, China Biology Medicine disc, Wanfang Data and others, for evidence on nutritional management of malnutrition in pediatric cancer patients. The search included literature from inception to August 31, 2023. Literature was selected following strict inclusion and exclusion criteria by researchers trained in evidence-based nursing courses. The quality of the selected literature was evaluated, and evidence was extracted and summarized.Results:A total of 11 articles were included, comprising two clinical decision papers, three guidelines, one evidence summary, two systematic reviews, and three expert consensus documents. The evidence was summarized into 24 evidence across five main areas: multidisciplinary team approach, nutritional risk screening and assessment, nutrient intake, dietary and nutritional education, and enteral and parenteral nutrition support.Conclusions:This study provides a best evidence summary for the nutritional management of malnutrition in pediatric cancer patients, offering evidence-based support for clinical practice among healthcare professionals.