Objective: To examine the association between parent-child relationships and bullying behaviors among junior high school students, and to explore the moderating effect of community cohesion, so as to provide evidences for bullying intervention strategies. Methods: From November to December 2017, a cluster sampling method was used to survey 1 589 students in grades 6- 8 from three junior high schools in Jing an District,Shanghai. Anonymous electronic questionnaires collected data on parent-child relationships, community cohesion, and bullying behaviors. Multivariate Logistic regression analyzed the associations and moderation effects. Results: The prevalence of bullying behaviors among junior high school students was 7.80%. Spearman correlation analysis revealed negative associations between both parent-child relationships ( r =-0.13) and community cohesion ( r =-0.10) with bullying behaviors, while parent-child relationships positively correlated with community cohesion ( r =0.29) (all P <0.01). Junior high school students with positive parent-child relationships and higher perceived community cohesion showed lower risks of bullying behaviors ( OR=0.51, 95%CI =0.36-0.72; OR=0.58, 95%CI =0.45-0.76), with a significant interaction effect between the two factors (all P <0.05). Conclusions Positive parent-child relationships and community cohesion are negatively associated with bullying behaviors in middle school students. Supportive family relationships help reduce bullying, while stronger community cohesion enhances the protective effect of positive parent-child relationships against bullying.

Purpose To explore the value of CT-based radiomics in the preoperative prediction of lymphatic invasion of node-negative gastric cancer,and to construct a nomogram combined with clinical variables.Materials and Methods The clinical and CT imaging data of 173 gastric cancer patients with lymph node negative and pathologically confirmed gastric cancer in the Sir Run Run Shaw Hospital from January 2019 to June 2021 were retrospectively analyzed.A total of 60 cases with lymphovascular invasion(LVI)positive patients and 113 cases with LVI negative patients were included,and randomly divided into train cohort(n=121)and test cohort(n=52)at 7∶3.Based on the train cohort,the clinical model,the radiomics model,the fusion model were constructed and verified in the test cohort.Clinical data and conventional CT features included age,gender,tumor marker,tumor location,tumor morphology,enhancement range,etc.The clinical significant variables were selected through univariate and multivariate analysis to establish the clinical model.The tumor regions of interest were segmented and radiomics features were extracted by using the 3D-Slicer software.Key features were screened through least absolute shrinkage and selection operator regression analysis,and then the radiomics model was constructed with random forest algorithm,and converted to random forest score(RF score).The fusion model was constructed via combining clinical significant variables and RF score,and visualized as a nomogram.The receiver operator characteristic curve and area under curve(AUC)were used to evaluate the prediction performance of the models.Decision curve analysis was used to calculate the clinical practicability.Results The radiomics model was superior to the clinical model.The radiomics model AUC of the train cohort and the test cohort were 0.872(0.810 to 0.935)and 0.827(0.707 to 0.947),the clinical model AUC were 0.767(0.682 to 0.852)and 0.761(0.610 to 0.913).The nomogram further improved the predictive efficiency,the AUC in train cohort and test cohort reached 0.898(0.842 to 0.953)and 0.844(0.717 to 0.971),respectively.Decision curve analysis demonstrated clinical benefits of nomogram.Conclusion The radiomics model can be used to preoperatively predict LVI of node-negative gastric cancer.The nomogram can further improve the prediction efficiency.

Objective To study the bioequivalence and safety of two olmesartan medoxomil and hydrochlorothiazide tablets in Chinese healthy subjects.Methods A total of 24 healthy subjects underwent fasting and postprandial tests in a single-center,randomized,open-label,single-dose,two-formulation,two-sequence,two-period,self-cross-over controlled design.The subjects were administered a single oral dose of the test formulation and reference formulation(each containingolmesartan medoxomil 20 mg and hydrochlorothiazide 12.5 mg)in a random cross-over fashion.The plasma concentrations of olmesartan and hydrochlorothiazide were determined by LC-MS/MS.The non-compartmental model analysis of olmesartan and hydrochlorothiazide was conducted using WinNonlin 7.0 software to calculate pharmacokinetic parameters and assess bioequivalence.Results In the fasting test,the pharmacokinetic parameters of olmesartan of test and reference were as follows:Cmax were(798.35±206.78)and(664.52±168.25)ng·mL-1,AUC0-t were(4 430.71±1 294.87)and(3 976.67±1 083.54)h·ng·mL-1,AUC0-∞ were(4 551.67±1 303.06)and(4 090.37±1 103.97)h·ng·mL-1.The pharmacokinetic parameters of hydrochlorothiazide of test and reference were as follows:Cmax were(92.39±35.96)and(96.15±38.76)ng·mL-1,AUC0_t were(548.69±217.11)and(564.41±208.68)h·ng·mL-1,AUC0-∞ were(603.04±228.59)and(619.26±223.27)h·ng·mL-1.In the fed test,the pharmacokinetic parameters of olmesartan of T and R were as follows:Cmax were(583.15±149.48)and(550.57±104.76)ng·mL-1,AUC0-t were(3 585.18±952.72)and(3 292.19±904.58)h·ng·mL-1,AUC0-∞ were(3 696.05±996.55)and(3 396.30±923.41)h·ng·mL-1.The pharmacokinetic parameters of hydrochlorothiazide of test and reference were as follows:Cmax were(70.30±17.88)and(74.70±21.65)ng·mL-1,AUC0-t were(476.60±119.39)and(492.91±144.81)h·ng·mL-1,AUC0-∞ were(523.37±132.67)and(535.81±151.92)h·ng·mL-1.In fasting and fed condition,the 90％confidence interval(90％CI)of Cmax,AUC0-t and AUC0-∞ of olmesartan and hydrochlorothiazide were in 80.00％-125.00％.Conclusion The two olmesartan medoxomil and hydrochlorothiazide tablets were bioequivalent under fasting and fed conditions,and good security.

Energy metabolism is fundamental for life.It encompasses the utilization of carbohydrates,lipids,and proteins for internal processes,while aberrant energy metabolism is implicated in many diseases.In the present study,using three-dimensional(3D)printing from polycarbonate via fused deposition modeling,we propose a multi-nuclear radiofrequency(RF)coil design with integrated 1H birdcage and interchangeable X-nuclei(2H,13C,23Na,and 31P)single-loop coils for magnetic resonance imaging(MRI)/magnetic resonance spectroscopy(MRS).The single-loop coil for each nucleus attaches to an arc bracket that slides unrestrictedly along the birdcage coil inner surface,enabling convenient switching among various nuclei and animal handling.Compared to a commercial 1H birdcage coil,the proposed 1H birdcage coil exhibited superior signal-excitation homogeneity and imaging signal-to-noise ratio(SNR).For X-nuclei study,prominent peaks in spectroscopy for phantom solutions showed excellent SNR,and the static and dynamic peaks of in vivo spectroscopy validated the efficacy of the coil design in structural imaging and energy metabolism detection simultaneously.

Objective:To analyze the clinical features and laboratory indicators in patients with solid malignant tumor-associated venous thromboembolism(Ta-VTE),and to study the risk factors for Ta-VTE.Methods:The hospitalized patients with VTE in Guizhou Provincial People's Hospital from January to December 2020 were enrolled,and they were divided into Ta-VTE group and pure VTE group based on the presence or absence of solid malignant tumor.The differences in clinical data and laboratory indicators between the two groups were analyzed,and the indicators with significant differences were included in logistic regression model to analyze the risk factors of Ta-VTE.Results:A total of 288 patients with VTE were included in this study,including 64 cases in Ta-VTE group and 224 cases in pure VTE group,respectively.There were significant differences in the following indexes between the two groups,including the hospitalization time(14.20±15.29 d vs 10.05±6.90 d,t=3.112,P=0.002),pain(35.94％vs 65.18％,x2=17.554,P=0.000),recent surgery(75.00％vs 37.50％,X2=28.196,P=0.000),D-dimer[2.8(0.92,7.55)μg/ml vs 5.69(2.25,13.91)μg/ml,Z=-2.710,P=0.007],PLR[198.59(139.54,312.16)vs 149.76(114.08,233.66),Z=-2.924,P=0.003]and TBIL[10.90(7.63,15.68)μmol/Lvs 12.90(9.33,18.28)μmol/L,Z=-2.066,P=0.039].There was no significant difference in the other indicators(P＞0.05).The result of multivariate logistic regression analysis showed that elevated PLR(OR=1.003,95％CI:1.000-1.006,P=0.027),recent surgery(OR=4.312,95％CI:2.093-8.885,P=0.000)and prolonged hospitalization(OR=1.037,95％CI:1.002-1.074,P=0.038)were independent risk factors for Ta-VTE.However,pain(OR=0.274,95％CI:0.133-0.564,P=0.000)was a protective factor.Conclusion:Elevated PLR level,recent surgery and prolonged hospital stay are independent risk factors for Ta-VTE patients,and rational use of these indicators is helpful for the clinical diagnosis and treatment of Ta-VTE patients.

The incidence of knee osteoarthritis(KOA)is in-creasing year by year,seriously affecting patients'health.Mes-enchymal stem cells are multipotent cells with multiple differen-tiation functions.The extracellular vesicles released by these cells can carry various"cargo"to corresponding cells and tis-sues,exerting biological functions.They have shown great clini-cal potential in the treatment of KOA.This study reviews the therapeutic effects and mechanisms of extracellular vesicles se-creted by mesenchymal stem cells from different tissues such as bone marrow,adipose tissue,and synovium in KOA.It is found that miRNA is an important biological component in exerting therapeutic effects.The study also discusses the research pro-gress of engineered extracellular vesicles in KOA,pointing out the current challenges in clinical application,such as standard-ized acquisition of extracellular vesicles and difficulties in targe-ted action,aiming to provide a certain reference for the basic re-search and clinical application of extracellular vesicle therapy for KOA.

Objective To retrospectively explore the diagnosis and treatment of severe immune thrombocytopenia(SIT)induced by programmed death-1(PD-1)monoclonal antibody.Methods Three patients with SIT caused by PD-1 monoclonal antibody treatment at Putuo District People's Hospital,Zhoushan City,Zhejiang Province from March 2020 to October 2022 were selected,and the diagnosis and treatment process and disease outcome were analyzed.Results All three patients were diagnosed with malignant tumors after postoperative pathological examination,and SIT was induced after PD-1 monoclonal antibody treatment,of which one patient died,and two patients improved after the treatment.Conclusion PD-1 induced SIT often occurs after 12 weeks,and clinical diagnosis can be confirmed by combining patients'medication history,platelet antibodies,and bone marrow examination.In terms of treatment,combination therapy such as ordered reduction of hormones,thrombopoietin,and platelet receptor agonists can promote the recovery of the patient.In addition,if necessary,CD20 monoclonal antibody therapy can be applied to antagonize platelet antibodies.

Objective:To analyze the epidemiological and etiological characteristics of a death case of meningococcal meningitis in Hengyang city, Hunan Province in 2024.Methods:Epidemiological investigation of the death case was performed, and samples from the patient and close contacts were collected. Following cultivation and isolation, Neisseria meningitidis ( Nm) strains were analyzed by antimicrobial susceptibility testing, pulsed field gel electrophoresis (PFGE), and whole-genome sequencing for analyzing epidemiological and etiological characteristics. Phylogenetic analysis was carried out using core genomic multilocus sequence typing (cgMLST). Results:The case was a 16-year-old high school boarding student with fulminant meningococcal meningitis. He had shock symptoms, and died within 24 h of the onset of symptoms. Six Nm strains were isolated from the patient and his roommates, belonging to two distinct clades. Isolate 144569 from the patient was highly homologous to isolate 144572 from a close contact, both belonging to the highly pathogenic sublineage L44.1 of CC4821. The typical molecular features was C: P1.7-2, 14: F5-101: ST4821 (CC4821). The two strains carried the antimicrobial resistance genes of gyrA-71 and penA-552, indicating reduced susceptibility to quinolone and penicillin, which was with their resistance phenotype. The isolates from four close contacts clustered within the same clade, characterized by the molecular features of B: P1.18-25, 9-18: ST5829 (UA). Conclusions:The death case is caused by Nm serogroup C from highly pathogenic sublineage L44.1 of CC4821. The spread of this isolate has the potential risk of outbreaks of invasive meningococcal disease. It is necessary to enhanced the molecular epidemiological surveillance, particularly focusing on the transmission of multiple serogroups of Nm among adolescents and the increasing exposure risk.

Background: This study aimed to develop a diabetic kidney disease (DKD) prediction model using long short term memory (LSTM) neural network and evaluate its performance using accuracy, precision, recall, and area under the curve (AUC) of the receiver operating characteristic (ROC) curve. Methods: The study identified DKD risk factors through literature review and physician focus group, and collected 7 years of data from 6,040 type 2 diabetes mellitus patients based on the risk factors. Pytorch was used to build the LSTM neural network, with 70% of the data used for training and the other 30% for testing. Three models were established to examine the impact of glycosylated hemoglobin (HbA1c), systolic blood pressure (SBP), and pulse pressure (PP) variabilities on the model’s performance. Results: The developed model achieved an accuracy of 83% and an AUC of 0.83. When the risk factor of HbA1c variability, SBP variability, or PP variability was removed one by one, the accuracy of each model was significantly lower than that of the optimal model, with an accuracy of 78% (P<0.001), 79% (P<0.001), and 81% (P<0.001), respectively. The AUC of ROC was also significantly lower for each model, with values of 0.72 (P<0.001), 0.75 (P<0.001), and 0.77 (P<0.05). Conclusion The developed DKD risk predictive model using LSTM neural networks demonstrated high accuracy and AUC value. When HbA1c, SBP, and PP variabilities were added to the model as featured characteristics, the model’s performance was greatly improved.

Objective:To investigate the expression of serum circular RNA PUM1 (circPUM1) and microRNA-760 (miR-760) in patients with polycystic ovary syndrome (PCOS) , and their correlation with BMI and biochemical indexes.Methods:A total of 118 patients with PCOS who were diagnosed and treated in Zhengzhou Central Hospital Affiliated to Zhengzhou University from Feb. 2019 to Feb. 2022 were regarded as as the research subjects (PCOS group) . Another 120 women who underwent physical examination in our hospital were regarded as the control group. Real-time quantitative PCR (RT-qPCR) was performed to detect the expression levels of circPUM1 and miR-760 in serum, and to measure serum glucose and lipid metabolism indicators and sex hormone indicators; Pearson method was performed to analyze the correlation between the expression levels of circPUM1 and miR-760, and the correlation between circPUM1 and miR-760 and each index.Results:The expression level of BMI, FBG, FINS, HOMA-IR, TG, estradiol, LH, prolactin and circPUM1 was (23.81±2.85) kg/m 2, (4.87±0.73) ] mmol/L, (8.51±2.18) mIU/L, 1.85±0.69, (1.58±0.57) mmol/L, (182.34±30.47) pmol/L, (7.43±2.05) mIU/ml, (323.45±60.25) mIU/L and 1.05±0.21, while they were (25.24±2.36) kg/m 2, (5.35±0.65) mmol/L, (14.43±4.36) mIU/L, 3.21±1.05, (1.93±0.60) mmol/L, (193.75±38.42) pmol/L, (10.42±2.60) mIU/mL, (372.31±75.44) mIU/L and 1.83±0.45. The expression level of miR-760 was 1.01±0.23 in the control group, while it was 0.77±0.16 in PCOS group. Correlation analysis showed that serum circPUM1 in PCOS patients was negatively correlated with miR-760 ( r=-677, P<0.001) , and serum circPUM1 in PCOS patients was positively correlated with FBG, FINS, HOMA-IR, and TG ( P<0.05) , while was no greatly correlated with other indicators ( P>0.05) , and miR-760 was negatively correlated with FBG, FINS, HOMA-IR, and TG ( P<0.05) , while was no greatly correlated with other indicators ( P>0.05) . Conclusion:The expression level of circPUM1 in serum of patients with PCOS is increased, and the expression level of miR-760 is decreased, which is correlated with glucose and lipid metabolism indicators and can be used to predict the occurrence of metabolic diseases in PCOS patients.