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 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 association between dietary behaviors and sleep duration among middle school students in Shanghai, so as to provide reference for interventions targeting insufficient sleep. Methods: From May to June 2021, a stratified cluster random sampling method was employed to select a sample of 10-17yearold middle school students for monitoring their healthrisk behaviors. A total of 5 538 valid questionnaires were collected. The survey included items such as daily sleep duration, weekly consumption of sugary beverages, freshly squeezed fruit juice, fresh fruits, fresh vegetables, fried foods, milk and yogurt, breakfast habits, and frequency of eating outside. Statistical analysis was conducted using Chisquare test, Wilcoxon ranksum test, and multivariable Logistic regression model. Results: About 73.7% of middle school students reported insufficient sleep in Shanghai. There was a positive correlation between the average daily consumption of fresh fruits and breakfast consumption with sleep duration. In other words, a higher frequency of consuming fresh fruits (OR=1.29) and eating breakfast (OR=1.07) were associated with a higher likelihood of sufficient sleep. Conversely, there was a negative correlation between the frequency of consuming desserts (OR=0.78) and fried foods (OR=0.88) and sleep duration (P<0.05). Conclusions Increasing the consumption of fresh fruits and maintaining regular breakfast habits while reducing the intake of fried foods can contribute to achieving sufficient sleep among middle school students. When implementing interventions to improve sleep among middle school students, promoting healthy and balanced diets can be considered as one of the intervention strategies.

Objective We aimed to investigate the hemostatic effect and mechanism of modified Sijunzi Decoction(MSJZT),consisting of tangshen,India bread,largehead atractylodes rhizome,liquorice root,milkvetch root,ass hide glue,and India madder root,on the zebrafish intestinal bleeding model through 5-hydroxytryptamine(5-HT)and its receptors(5-HT2aR,5-HT2bR).Methods Zebrafish at 4 days post fertilization were used as the research object.An intestinal bleeding model was established by induction with 6 μmol/L simvastatin for 24 hours.The zebrafish were divided into normal group,model group,MSJZT low-,mid-and high-concentration groups(55.6,167,500 mg/L),and after modeling,the corresponding concentration of MSJZT was administered.The samples were collected after 24 hours.Platelet count(PLT)and bleeding status were observed.The content of 5-HT and Caspase 3/7 activity were detected by colorimetry.The gene expressions of 5-HT2aR,5-HT2bR and serotonin transporter(SERT)were detected by real-time PCR.The protein expressions of protein kinase B(AKT),phosphorylated AKT(p-AKT),extracellular signal-regulated protein kinase(ERK),and phosphorylated ERK(p-ERK)were detected by Western blotting.Results The intestinal bleeding rate in the model group was 70.0%,and that in the MSJZT low-,mid-and high-concentration groups was 36.7%,40.0%,and 80.0%,respectively;the intestinal hemostatic effect was 54%,52%,and 7%,respectively.Compared with the model group,the PLT in the MSJZT low-and mid-concentration groups decreased;the content of 5-HT in all MSJZT groups increased,and the gene expressions of 5-HT2aR and 5-HT2bR were up-regulated.The gene expression of SERT was up-regulated in the low-and mid-concentration groups;the Caspase 3/7 activity in the mid-and high-concentration groups was reduced;the expressions of p-AKT and p-ERK proteins were up-regulated in the low-and mid-concentration groups(all P<0.05).Conclusion MSJZT can reduce the incidence and severity of intestinal bleeding in zebrafish intestinal bleeding models.The mechanism may be achieved by activating AKT and ERK signaling pathways through 5-HT and its receptors.

Objective: To explore the current status and associated factors of bullying behavior among middle school students in Shanghai, so as to provide a reference basis for carrying out bullying intervention work. Methods: From May to June 2021, a stratified cluster sampling method was used to select 19 000 middle school students from 63 schools in 16 districts of Shanghai, and the Shanghai Youth Health Risk Behavior Survey Questionnaire was used to conduct an anonymous questionnaire survey of enrolled students. Chi square test and binary Logistic regression analysis were employed to investigate the associated factors of bullying among middle school students. Results: The prevalence of bullying behaviors in Shanghai was 15.5%, with males and junior high school students exhibiting the higher reporting rate(19.5%,17.2%). And malicious teasing or name calling had the highest reported rate at 9.4%. The results of binary Logistic regression analysis showed that fighting ( OR =5.02), attempting to smoke ( OR =3.22), having a feeling of sadness and hopelessness ( OR =2.50) and getting drunk( OR =1.72) were positively associated with bullying behavior among middle school students. Fighting ( OR =3.83-8.97), attempting to smoke ( OR =2.92-5.52), having a feeling of sadness and hopelessness ( OR =2.40-4.34), and getting drunk ( OR =1.66-2.34) were positively correlated with 6 forms of bullying (malicious teasing or name calling, intentionally damaging someone else s belongings, deliberately excluding someone from activities or isolating someone, threatening or intimidating others, hitting, kicking, or pushing someone, and verbally harassing or attacking someone online) ( P <0.05). Conclusions Bullying behavior of middle school students in Shanghai primarily presents as verbal harassment. In the future, greater attention should be directed towards bullies, and it should recognize potential hazards promptly and implement precise intervention measures.

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.

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.