ObjectiveTo explore the mechanism of modified Xiehuangsan in treating tic disorders （TD） based on microglial polarization and the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor （NF）-κB pathway. MethodsSeventy-two Sprague-Dawley （SD） rats were randomly assigned into six groups： control， model， tiapride （0.025 g·kg^-1）， and low-， medium-， and high-dose （12， 24， 48 g·kg^-1， respectively） modified Xiehuangsan， with 12 rats in each group. Except the control group， the other groups received intraperitoneal injection of 3，3'-iminodipropionitrile （IDPN） for 7 consecutive days for the modeling of TD. After successful modeling， the control and model groups were given normal saline via gavage， and the other groups were administrated with corresponding drugs by gavage. After 28 days of continuous intervention， rat behaviors were observed， and the modified Xiehuangsan group showing the best anti-TD effect was selected for deciphering the treatment mechanism. Hematoxylin and eosin staining was conducted to observe morphological changes in the rat striatum. Immunohistochemistry was employed to detect the expression of CD16 and CD206 in the striatum. Real-time PCR was employed to measure the mRNA levels of interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， IL-4， TLR4， MyD88， and NF-κB p65 in the striatum. Western blot was employed to determine the protein levels of ionized calcium-binding adapter molecule 1 （Iba1）， Fc receptor family for immunoglobulin （Ig）G type Ⅲ （CD16）， mannose receptor （CD206）， TLR4， MyD88， and NF-κB p65 in the striatum. ResultsCompared with the control group， the model group showed increased stereotyped behaviors， locomotor activity， total movement distance， and movement speed， shortened resting time （P<0.01）， and noticeable pathological changes in the striatum. Compared with the model group， the tiapride group and modified Xiehuangsan groups exhibited reduced stereotyped behavior， locomotor activity， total movement distance， and movement speed， prolonged resting time （P<0.05， P<0.01）， and alleviated pathological changes in the striatum. Among the modified Xiehuangsan groups， the high-dose group had the best intervention effect and the mildest pathological changes. Therefore， the high-dose group was selected for further research. Compared with the control group， the modeling of TD increased Iba1 and CD16 expression （P<0.05， P<0.01）， up-regulated the mRNA levels of IL-1β and TNF-α （P<0.05， P<0.01）， down-regulated the mRNA level of IL-4 （P<0.05）， up-regulated the mRNA and protein levels of TLR4 and MyD88 （P<0.05， P<0.01）， and up-regulated the protein level of NF-κB p65 （P<0.01）. Compared with the model group， modified Xiehuangsan reduced Iba1 and CD16 expression （P<0.05， P<0.01）， up-regulated the protein level of CD206 （P<0.05， P<0.01）， down-regulated the mRNA levels of IL-1β and TNF-α （P<0.05）， up-regulated the mRNA level of IL-4 （P<0.01）， and down-regulated the mRNA and protein levels of TLR4， MyD88， and NF-κB p65 （P<0.05， P<0.01）. ConclusionModified Xiehuangsan demonstrated a definite therapeutic effect on TD in rats. It may reduce neuroinflammation in TD rats by regulating the polarization of microglia in the striatum via the TLR4/MyD88/NF-κB signaling pathway.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

The shaoyang meridian is an important pivot between the internal organs and meridians system， with the functions of regulating qi and blood， balancing yin and yang， and coordinating the ascending and descending movement of qi. Dysfunction of the shaoyang pivot can lead to spleen and kidney deficiency， impaired liver and gallbladder qi regulation， and stagnation of qi and blood. It is believed that the onset and progression of Crohn's disease are closely related to shaoyang pivot dysfunction， with the core pathogenesis characterized by shaoyang disharmony， spleen deficiency， dampness retention， and blood stasis. Based on this understanding， the treatment principle centers on harmonizing the shaoyang pivot， supplemented by methods such as warming and nourishing the spleen and stomach， tonifying shaoyang， and soothing the liver and benefiting the gallbladder. Acupuncture is employed to target key acupoints along the shaoyang meridian to restore its regulatory functions， improve spleen and stomach transformation and transportation， facilitate liver and gallbladder qi flow， and promote the circulation of qi and blood. This provides a practical therapeutic approach for acupuncture-based treatment of Crohn's disease.

Objective To explore the expression of triggering receptor expressed on myeloid cells 2(TREM2)in high-glucose microglia and to investigate the role of TREM2 in the proliferation,migration and phagocytosis of high-glucose microglia.Methods Microglia cells were divided into control group and high-glucose treatment group(67.5 mmol/L glucose,24 h).The microglia cells were counted and the expression of Iba1 and TREM2 was de-tected.TREM2 siRNA was transfected to detect the proliferation and migration of microglia.The amyloid β-peptide(Aβ)with a fluorescent tag was added to observe the phagocytosis of Aβ by microglia.Results Compared to normal microglia,the number of microglia significantly decreased after high-glucose treatment(P＜0.001),while the ex-pression of TREM2 and Iba1 markedly increased(P＜0.001).High glucose and TREM2 did not affect the prolifer-ation of microglia.Compared to the normal group,the migration of microglia significantly decreased after high-glu-cose treatment(P＜0.05)and TREM2 did not affect the migration ability of high-glucose microglia.Compared to the normal group,the phagocytosis of Aβ by microglia significantly decreased in the high-glucose treated group(P＜0.001).Furthermore,TREM2 knockdown further decreased the phagocytosis of Aβ by high-glucose microglia(P＜0.001).Conclusions The expression of TREM2 in microglia significantly increases after high-glucose treat-ment,which significantly affects phagocytosis of Aβ by microglia.

Purpose/Significance Gestational hypertension poses a serious threat to maternal health.Artificial intelligence(AI)fol-low-up and management systems contributes to the health of gestational hypertension.Method/Process The paper establishes an AI fol-low-up system for gestational hypertension based on big data technology and data platforms,including modules such as patient informa-tion management,follow-up data management,follow-up plan management,and patient course management.Result/Conclusion The follow-up system can assist doctors in understanding changes in patients'diseases and meet the hospital's follow-up management re-quirements for gestational hypertension in outpatient clinics.

Objective To investigate the reliability and validity of the assessment tools of Brief ICF Core Sets for Arthroplasty of Knee Osteoarthritis in Perioperative Period(ICSAKOPP). Methods From May,2022 to April,2023,320 patients undergoing knee arthroplasty were selected in Peking University Third Hospital,China-Japan Friendship Hospital,Peking University First Hospital and Chinese PLA General Hospital.Trained assessors used Brief ICSAKOPP to evaluate all enrolled patients before arthroplasty,three days(±one day)after arthroplasty,three weeks(±one week)after arthroplasty,and three months(±one month)after ar-throplasty.Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)scores were recorded at the same time.Five professionals were asked to score all the items of Brief ICSAKOPP,and the content validity index(CVI)was caculated. Results A total of 64 cases were dropped down.CVI of all the items of the Brief ICSAKOPP were above 0.8,with a av-erage CVI of the scale of 0.938.The Cronbach's α coefficient of the Brief ICSAKOPP was 0.813.There was a moderate correlation(r=0.681,P<0.001)between the overall Brief ICSAKOPP and WOMAC scores,as well as body functional dimension score(r=0.668,P<0.001)and activities and participation dimension score(r=0.657,P<0.001). Conclusion Brief ICSAKOPP is good in content validity,internal consistency reliability and criterion validity.

Objective: To understand the relationship between stress and Internet addiction among middle school students in Shanghai, so as to provide a scientific basis for promoting students mental health and preventing Internet addiction. Methods: From May to June 2021, a stratified random cluster sampling method was used to select 6 123 middle and high school students in Shanghai for health risk behavior monitoring. Daily Stressors Evaluation Scale for Urban Secondary School Students was used to evaluate students' stress, and the Internet Addiction Test compiled by Young was used to evaluate students Internet addiction. The correlation between student stress and Internet addiction was analyzed by Kruskal-Wallis H test , Chi square test and multiple Logistic regression. Results: Total stress score of middle school students in Shanghai was 24 (12, 39), academic stress score was 8 (5, 13), physical and psychological stress score was 6 (2, 10), interpersonal stress score was 5 (1, 9), and family stress score was 4 (1, 8). The detection rate of Internet addiction was 4.7%. Multivariate Logistic regression analysis showed that the risk of Internet addiction among middle school students with high levels of stress was 8.05 times(95% CI =4.59-14.12) that of students with low levels of stress( P <0.05). The risk of Internet addiction among middle school students with high levels of academic stress, physical and psychological stress, interpersonal stress and family stress was 5.98(95% CI =3.69-9.70), 6.92(95% CI =4.03-11.88), 4.85(95% CI =3.11-7.55), and 4.18(95% CI =2.73-6.40) times that of students with low levels of stress, respectively( P <0.05). Conclusion The academic stress, physical and psychological stress, interpersonal stress, and family stress among middle school students can all lead to an increased risk of Internet addiction.

Objective To explore the effects and possible mechanisms of ophthalmic acupuncture combined with tail moxibustion on the behavior and hippocampus in rats with post-stroke cognitive impairment.Methods Seventy-five male SD rats were randomly divided into the sham operation group (15 rats) and the modeling group (60 rats) using the random number table method. A modified suture-occluded method was used to replicate the occlusion model of the middle cerebral artery in the modeling group,whereas only the right carotid artery was exposed in the sham operation group. After modeling,48 rats with post-stroke cognitive impairment were selected using the Morris water maze experiment,and were randomly divided into the model group,the ophthalmic acupuncture group,the tail moxibustion group and the ophthalmic acupuncture+tail moxibustion group using the random number table method,with 12 rats per group. The sham operation group and the model group were bound with no intervention;the ophthalmic acupuncture group was needled once a day in the bilateral "liver area","kidney area","heart area",and "spleen area",leaving the needle for 30 min;the tail moxibustion group was given mild-warm moxibustion on the area between "Changqiang" (GV1) and the tip of the tail for 20 min,once a day;the ophthalmic acupuncture+tail moxibustion group was given the above-mentioned ophthalmic acupuncture and tail moxibustion interventions simultaneously. After 7 days of intervention,the behavior of the rats was detected. Hematoxylin and eosin staining was used to observe the pathological changes in the hippocampus;the malondialdehyde (MDA) content and superoxide dismutase (SOD) activity in the hippocampus were detected by colorimetric method;Western blotting was used to detect the protein expressions of Kelch-like ECH associated protein 1 (KEAP1),phosphoglycerate mutase 5 (PGAM5),apoptosis-inducing factor mitochondria associated 1 (AIFM1),nuclear factor erythroid 2-related factor 2 (Nrf2),and heme oxygenase-1 (HO-1) in the hippocampus of rats;and real-time fluorogenic quantitative PCR was used to determine the mRNA expressions of KEAP1,PGAM5,AIFM1,Nrf2,and HO-1 in the hippocampus. Results Compared with the sham operation group,the escape latency in the model group was prolonged,and the crossing platform number was decreased (P<0.05);the number of neurons in the hippocampal CA1 area was significantly decreased,with a disordered arrangement and irregular morphology,and necrotic neurons were observed;the SOD activity in the hippocampus was decreased,while the MDA content was increased (P<0.05);the protein and mRNA expressions of KEAP1,PGAM5,and AIFM1 were increased,while the protein and mRNA expressions of Nrf2 and HO-1 were decreased (P<0.05). Compared with the model group,the escape latency of rats in the ophthalmic acupuncture+tail moxibustion group was shortened,and the crossing platform number was increased (P<0.05);the loss of neurons in the hippocampal CA1 area of the rat was significantly reduced,and the cell morphology was more plump;SOD activity in the hippocampus was increased,and MDA content was decreased (P<0.05);and the protein and mRNA expressions of KEAP1,PGAM5,and AIFM1 were decreased,while the protein and mRNA expressions of Nrf2 and HO-1 were increased (P<0.05).Conclusion The combination of ophthalmic acupuncture and tail moxibustion can be used to treat rats with post-stroke cognitive impairment,and its mechanism may be related to alleviating oxidative stress damage and oxeiptosis in the hippocampus,thereby improving the degree of hippocampal neuronal damage and enhancing the cognitive ability of rats after stroke.

A spatial-temporal convolutional neural network-based method is proposed for schizophrenia classification.Unlike the mainstream methods that only analyze the temporal frequency features in EEG and ignore the spatial features between brain regions,the model mainly obtains the spatial-frequency features by convolving the adjacency matrix composed of wavelet coherence coefficients between different channels and EEG sequences,and then extracts the temporal-frequency features through one-dimensional temporal convolution.The processed matrix is flattened after multiple convolutions and input to the classification model.Experimental results show that the method has a classification accuracy of 96.32%on the publicly available dataset Zenodo,demonstrating its effectiveness and exhibiting the advantages of fusing temporal-frequency and spatial-frequency features for schizophrenia diagnosis.

Objective:To explore the feasibility of constructing an objective tinnitus subtype model based on peripheral blood differentially expressed genes (DEGs) using a combination of Weighted Gene Co-expression Network Analysis (WGCNA) and Random Forest algorithm (RF).Methods:From October 2019 to June 2020, peripheral blood DEGs were obtained from 37 patients (from the Third Affiliated Hospital of Sun Yat-sen University)with chronic subjective high-frequency tinnitus (21 unbothersome type, 16 bothersome type) and 20 healthy volunteers through high-throughput sequencing. WGCNA was used to construct gene modules with different expression patterns and analyze their relationships with tinnitus characteristics. Subsequently, RF was employed to build subtype models, which were evaluated by the area under the receiver operating characteristic curve (AUC), accuracy, and F1-score.Results:A total of 12 351 intergroup DEGs were divided into 9 gene modules. Among them, MEblue, MEgreen, and MEbrown showed significant negative correlations with the healthy volunteer group, while MEpink showed a significant positive correlation with the tinnitus distress group. The "Tinnitus vs. Normal" and "Compensatory vs. Decompensatory" subtype models, based on MEblue and MEpink respectively, both had AUCs greater than 0.80, accuracies above 90%, and F1-scores above 0.90, indicating good performance.Conclusions:Peripheral blood DEGs are potential biological indicators for objective classification of subjective tinnitus. The combined application of WGCNA and the Random Forest algorithm should be a viable approach to constructing an objective tinnitus subtype model. However, further exploration and refinement are needed to validate the model′s generalizability, cross-dataset performance, and algorithm optimization.