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.

OBJECTIVE To explore the potential mechanism of ketamine-induced cognitive impairment in mice based on metabolomics. METHODS Male C57BL/6 mice were randomly divided into control group and ketamine group （25 mg/kg）， with 12 mice in each group. Each group of mice was intraperitoneally injected with normal saline or corresponding drugs， 4 times a day， for 10 consecutive days. On the last 2 days of drug administration， the cognitive behavior was evaluated by Y maze and novel object recognition test， and the histopathological changes in the prefrontal cortex （PFC） were observed. Ultra-high performance liquid chromatography-tandem mass spectrometry technology was used to analyze the changes of metabolites in PFC， screen for differential metabolites， and perform pathway enrichment analysis. RESULTS Compared with the control group， the morphology of PFC neurons in the ketamine group of mice was inconsistent. There were cavities around the nucleus， and the number of deeply stained cells increased. The mean optical density value of the Nissl staining positive area was significantly reduced， and the alternation rate and discrimination index were significantly reduced （P＜0.05 or P＜0.01）. In the PFC tissue samples of mice of the two groups， there were a total of 114 differential metabolites， including 73 up-regulated and 41 down-regulated metabolites， including glutamine， succinic acid， ketoglutarate， and choline， etc. The differential metabolites mentioned above were mainly enriched in metabolism of alanine， aspartate and glutamate， metabolism of arginine and proline， γ aminobutyric acid synapses， pyrimidine metabolism， cholinergic synapses pathways， etc. CONCLUSIONS Ketamine can induce cognitive impairment in mice. Its neurotoxicity is related to abnormal synaptic transmission and energy metabolism， and neuroimmune regulation disorders.

OBJECTIVE To investigate the modulating effect of neotropics on form deprivation myopia(FDM)in guinea pigs.METHODS Tricolour guinea pigs were randomly divided into normal control group,FDM model group,FDM+saline group,FDM+atropine group,and FDM+neotropine group,with eight animals in each group.Except for the normal control group,the right eyes of the guinea pigs were covered for 14 d to establish a guinea pig FDM model.The drug administration groups were injected with 10 μL of saline,1%atropine,or 1%neotropine into the vitreous cavity once every other day.The changes in the refractive error and axial length of both eyes were recorded for 1 d before the intervention and for 14 d after the intervention.Then,the eyeballs of guinea pigs were taken from the right eyes.HE staining was used to evaluate the histopathological structure of the sclera while sirius red staining was used to detect the collagen protein content in the sclera.RT-qPCR was used to detect the mRNA expressions of transforming growth factor-β1(TGF-β1),matrix metalloproteinase(MMP-2)and tissue inhibitor of metalloproteinase(TIMP-2)in guinea pigs'sclera.The protein expression levels of collagen type Ⅰ(Col-Ⅰ)and TGF-β1 in guinea pig sclera were detected by Western blotting while those of MMP-2,TIMP-2 and Ki-67 were detected by immunohistochemical staining.RESULTS Compared with the nor-mal control group,eyes of guinea pig in the FDM model group showed a significantly lower refractive error(P<0.01),significant elongation of the ocular axis(P<0.01),scattered distribution of scleral fibre bundles,sparse collagen cells,reduced scleral thickness(P<0.01),and a significantly lower collagen protein content(P<0.01).The mRNA and protein expressions of TIMP-2 and TGF-β1 were lower(P<0.05,P<0.01),and MMP-2 was higher(P<0.01)in scleral tissue.The protein expression level of Col-Ⅰwas lower(P<0.05)while that of Ki-67 was elevated(P<0.01)in scleral tissue.Compared with the FDM model group,there were no significant changes in any of the indexes in the FDM+saline group.The refractive error of the right eyes of guinea pigs in the FDM+neotropium group and the FDM+atropium group were significantly higher(P<0.05),the length of the ocular axis was significantly shorter(P<0.05),the collagen fibres were arranged more tightly,the fibre bundles were distributed more orderly,the distribution of the collagen cells was more uniform,and the thickness of the sclera was significantly increased(P<0.01).Collagen protein contents were significantly higher(P<0.05,P<0.01),the mRNA and protein expressions of TIMP-2 and TGF-β1 were significantly higher(P<0.01),MMP-2 mRNA and protein expressions were significantly lower(P<0.05,P<0.01).The protein expression level of Col-Ⅰwas higher(P<0.05,P<0.01),and that of Ki-67 was lower(P<0.05,P<0.01)in scleral tissue.CONCLU-SION The muscarinic antagonist neotropine inhibits the development of myopia in guinea pigs in the FDM model by reversing both the down-regulation of TGF-β1 and the up-regulation of MMP-2 in scleral tissues and inhibiting the remodeling of the scleral extracellular matrix.

Objective:To investigate the effect and mechanism of the gastric cancer cells-derived exosome miR-382-5p in-duced by Helicobacter pylori(H.pylori)on the autophagy and polarization of macrophages,providing new clues for further elucidating the carcinogenic mechanism of H.pylori.Methods:Ultracentrifugation and exosome extraction kit were used to extract the exosomes re-leased by the H.pylori stimulated group and the blank control group AGS cells cells,then transmission electron microscopy(TEM),nanoparticle tracking analysis(NTA)and Western blot were employed to identify exosomes.qRT-PCR was used to detect the expres-sion of miR-382-5p in H.pylori induced AGS-derived exosomes.miR-382-5p mimic was transfected into THP-1 macrophages,then the expressions of autophagy markers(LC3Ⅱ,p62,and Beclin-1)were evaluated by Western blot,the number of autophagosomes was detected by immunofluorescence.The expression levels of PTEN protein,downstream proteins PI3K,AKT,mTOR and its phosphory-lated proteins p-PI3K,p-AKT,p-mTOR were detected by Western blot.Flow cytometry was used to detect the expression levels of macrophage phenotypic molecules CD206 and HLA-DR.ELISA was used to detect the secretion of cytokines TNF-α,IL-6,IL-10 and Arginase1 in macrophage supernatants.Results:The extracted exosomes were consistent with exosome morphology and highly ex-pressed the surface marker proteins CD9,CD63 and TSG101.Compared with the blank control group,the expression level of exosom-al miR-382-5p in H.pylori-infected group was significantly increased.miR-382-5p mimic transfection resulted in decreased expression of LC3 Ⅱ and Beclin-1 in macrophages,increased expression of P62 and decreased number of autophagosomes.Moreover,the protein expression level of PTEN was significantly decreased in the miR-382-5p mimic transfection group,while the expression levels of p-PI3K,p-AKT and p-mTOR were significantly increased.miR-382-5p mimic transfection also resulted in increased expression of mac-rophage M2 type marker protein CD206 and decreased expression of M1 type marker protein HLA-DR,as well as increased expres-sions of IL-10 and Arginine1,whereas decreased expression of IL-6 and TNF-α.Pretreatment with the pathway inhibitor BEZ235 par-tially reverses the effects of miR-382-5p on macrophage autophagy and polarization.Conclusion:H.pylori-induced gastric cancer cells-derived exosomal miR-382-5p suppresses macrophage autophagy and induces M2 polarization through down-regulation of PTEN ex-pression and activation of the PI3K/AKT/mTOR signaling pathway.

This experiment aims to screen and isolate bacteria for the domestication of macrophages and to identify their domestication effector molecules.Bacteria were isolated and purified from cow and sheep feces.The procedures included preparing fermentation supernatant and conducting ex-periments with a mouse peritoneal macrophage model.Nitric oxide(NO)levels were measured,tumor necrosis factor-alpha(TNF-α)was analyzed using ELISA,the domestication activity was e-valuated by mouse peritoneal macrophage model.The activated bacteria were subjected to 16S rRNA gene sequences identification,growth curves determination,and saturated ammonium sul-fate precipitation for NO assay and ELISA analysis of TNF-α to assess the phagocytic capability of domesticated macrophages against Staphylococcus aureus.One strain,ED-8,with immunomodula-tory polarizing properties was successfully isolated.Alignment of its 16S rRNA gene sequence showed 99.86％similarity with Streptococcus zooepidemicus,classifying it as such species.The fermentation supernatant significantly stimulated NO and TNF-a secretion in macrophages.The phagocytic capability against Staphylococcus aureus of macrophages polarized by ED-8 also en-hanced.This effect was retained after crude extraction,indicating the presence of immunomodula-tory activity.In this study,multiple animal chain streptococcus ED-8 was successfully isolated.Its secreted products were shown to induce the trained immunity of macrophages,enhancing their phagocytic activity.

Objective The risk evaluation indicators for the occurrence of diaphragm dysfunction in ICU patients was constructed to provide a reference for the establishment of the disease risk evaluation tools for diaphragm dysfunction.Methods The literature related to diaphragm dysfunction from CNKI,Wanfang Data,PubMed,Embase and Web of Science from the establishment of databases to November 11 th,2022 was systematically searched.After the first draft was determined through the literature review method,the first draft of the indicators was revised by brainstorming,with the opinions of 10 medical and nursing experts from May to June 2023.From June to July 2023,the content and weight of risk evaluation indicators of diaphragmatic dysfunction in ICU patients were determined through expert letter inquiry and hierarchical analysis.Results 35 experts completed the first round of letter inquiry,and 34 experts completed the second round of letter inquiry.The recovery rates of the valid questionnaires in the 2 rounds of expert correspondence were 92.1％and 97.1％,respectively,and the expert authority coefficients were 0.884 and 0.904,respectively,and the Kendall harmony coefficients of all indicators were 0.356～0.570 and 0.369～0.604,respectively(all P＜0.001).The final constructed risk evaluation indicators of diaphragm dysfunction in ICU patients includes 7 first-level indicators,34 secondary indicators and 34 tertiary indicators.Conclusion The risk evaluation index of diaphragm dysfunction in ICU patients constructed in this study is comprehensive,specific,scientific and applicable,which can guide medical staff to conduct early risk evaluation of diaphragm function in ICU patients,and provide references for the establishment of disease risk assessment tools for diaphragm function.

Purpose To analyze the gene subtypes and characteristics of human papilloma virus(HPV)infection among women attending outpatient and physical examination centers at our hospital.Methods We utilized Polymerase Chain Reaction(PCR)combined with reverse dot hybridization to detect 28 HPV gene subtypes.Results HPV infection rate among the women was 24.15％.The five most prevalent high-risk(HR)and low-risk(LR)HPV gene subtypes were HPV 52,16,53,58,39,and HPV 61,81,54,42,44,respectively.Single and double infections accounted for 68.97％and 20.72％,with no signifi-cant difference found in the combination of multiple infection types.When stratified by age,the highest HPV infection rate was found among the group aged ≤25 years,followed by the group aged ≥66 years and then the group aged 56-65 years.This pattern of HPV infection rates across age groups revealed an approximate U-shaped curve.Conclusion The majority of female HPV in-fections in Huadu district are single infections,primarily affecting young and middle-aged women.HPV gene subtypes exhibit the characteristics of population or region-specific distribution.The overall infection rate of HPV is 24.15％,with the most common types being 52,16,and 53.The three peak age groups for HPV infection ranges are ≤25 years,56-65 years,and ≥66 years.

Adjuvant chemoradiotherapy,molecular targeted therapy,and immunotherapy are frequently employed to extend the survival of patients with advanced gastric cancer(GC).However,most of these treatments have toxic side effects,drug resistance,and limited improvements in survival and quality of life.Therefore,it is crucial to discover and develop new medications targeting GC that are highly effective and have minimal toxicity.In previous studies,the total terpene extract from the stem of Celastrus orbiculatus demonstrated anti-GC activity;however,the specific mechanism was unclear.Our research utilising co-immunoprecipitation-mass spectrometry(Co-IP-MS),polypyrimidine tract binding protein 1(ptbp1)clustered regularly interspaced short palindromic repeat-associated protein 9(Cas9)-knockout(KO)mouse model,tissue microarray,and functional experiments suggests that alpha actinin-4(ACTN4)could be a significant biomarker of GC.PTBP1 influences actin cytoskeleton restructuring in GC cells by interacting with ACTN4.Celastrus orbiculatus stem extract(COE)may directly target ACTN4 and affect the interaction between PTBP1 and ACTN4,thereby exerting anti-GC effects.

Purpose/Significance To construct a Chinese medical knowledge Q&A corpus dataset as a standardized evaluation bench-mark for large language models(LLMs)in the medical domain,so as to improve the accuracy and efficiency of LLMs in handling Chinese medical questions.Method/Process Chinese medical paper knowledge,medical terminology explanations and supplementary questions are acquired from the Chinese medical licensing examination,and open-source Chinese medical Q&A datasets are encompassed in the developed Q&A datasets.Result/Conclusion The Chinese medical knowledge Q&A corpus datasets enrich the sources of existing datasets and promote the objective and comprehensive quantitative evaluation of large models in the medical field.In the near future,additional data such as electronic medical records and those from online health communities will be used to strengthen the support of artificial intelli-gence for the Healthy China strategy.

Objective To explore the effect of training mode based on action learning on improving the practicing ability of hospital pharmacists.Methods Thirty pharmacists who received training from September 2022 to December 2023 at Panzhihua Central Hospital were randomly divided into an education reform group(16 cases)and a routine group(14 cases).The education reform group adopted a routine teaching method based on action learning,while the routine group adopted a routine teaching method.The differences between the two groups of pharmacists in theoretical knowledge,practical operation,pharmaceutical services,emergency response,and comprehensive quality were compared.Results The pharmacists in the education reform group were better than the routine group in prescription review,clinical medication analysis,pharmaceutical services,emergency response,andcomprehensive quality.The difference was statistically significant(P＜0.05).Conclusion The teaching model based on action learning can effectively enhance the higher order thinking ability of pharmacists and help them better apply medical knowledge and skills to serve patients and physicians.