Depression,as a severe psychological and psychiatric disorder,significantly impairs the long-term physical and mental health of patients.Current depression detection methods are plagued by strong subjectivity,limited techniques,and inadequate intelligence.Previous studies have mostly relied on single-modal signal analysis,making it difficult to comprehensively reflect the multidimensional characteristics of depression.Based on the independently developed intelligent depression detection system,wearable devices are used to collect prefrontal dual-lead EEG signals,PPG signals,and single-lead ECG signals.Data from 30 patients with depression and 40 healthy controls are collected and analyzed.A multimodal depression recognition model named RBLF-Net is proposed,which integrates spatiotemporal features,weighted attention,and random forests to utilize the multi-signal features for depression recognition.The model exhibits superior performance in the five-fold cross-validation,achieving a classification accuracy of 81.43%,a precision of 81.02%,and a recall rate of 81.25%,outperforming other comparative models,and thus providing an intelligent analysis approach for depression recognition from the perspective of multi-modal fusion.

Semaglutide is a long-acting glucagon-like peptide-1 receptor agonist (GLP-1RA), which is commonly used in the treatment of type 2 diabetes mellitus and weight loss. Its weight loss effect was exerted mainly by suppressing appetite, delaying gastric emptying, promoting energy metabolism, and accelerating lipolysis. However, delayed gastric emptying can lead to residual gastric content, increasing the risk of pulmonary aspiration during anesthesia. This article reviews the effects and mechanisms of semaglutide on gastric emptying, and proposes preventive measures for perioperative pulmonary aspiration in patients treated with semaglutide by reviewing case reports and clinical studies on semaglutide-related delayed gastric emptying. This provides a reference for the safety of semaglutide treatment during the perio- perative period.

Depression,as a severe psychological and psychiatric disorder,significantly impairs the long-term physical and mental health of patients.Current depression detection methods are plagued by strong subjectivity,limited techniques,and inadequate intelligence.Previous studies have mostly relied on single-modal signal analysis,making it difficult to comprehensively reflect the multidimensional characteristics of depression.Based on the independently developed intelligent depression detection system,wearable devices are used to collect prefrontal dual-lead EEG signals,PPG signals,and single-lead ECG signals.Data from 30 patients with depression and 40 healthy controls are collected and analyzed.A multimodal depression recognition model named RBLF-Net is proposed,which integrates spatiotemporal features,weighted attention,and random forests to utilize the multi-signal features for depression recognition.The model exhibits superior performance in the five-fold cross-validation,achieving a classification accuracy of 81.43%,a precision of 81.02%,and a recall rate of 81.25%,outperforming other comparative models,and thus providing an intelligent analysis approach for depression recognition from the perspective of multi-modal fusion.

Semaglutide is a long-acting glucagon-like peptide-1 receptor agonist (GLP-1RA), which is commonly used in the treatment of type 2 diabetes mellitus and weight loss. Its weight loss effect was exerted mainly by suppressing appetite, delaying gastric emptying, promoting energy metabolism, and accelerating lipolysis. However, delayed gastric emptying can lead to residual gastric content, increasing the risk of pulmonary aspiration during anesthesia. This article reviews the effects and mechanisms of semaglutide on gastric emptying, and proposes preventive measures for perioperative pulmonary aspiration in patients treated with semaglutide by reviewing case reports and clinical studies on semaglutide-related delayed gastric emptying. This provides a reference for the safety of semaglutide treatment during the perio- perative period.

Objective Based on ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UPLC-QTOF-MS/MS),a nontarget screening strategy was adopted in analyzing and identifying emerging pollutants(EPs)in tap water across the country,and studying its spatial and temporal distribution characteristics.Methods After extracting tap water samples by solid phase extraction,mobile phases(0.1%aqueous formic acid and methanol solutions)was used to elute the sample on a C18 chromatographic column.The nontarget screening strategy was used to acquire the MS information in full scan mode.We extracted and analyzed the chromatographic and mass spectral peaks,then searched the spectral library to compare the exact mass numbers,and the secondary MS/MS spectra fragment ion information was compared one by one.Finally,the retention time and the mass spectrum data of candidate EPs were identified and analyzed with the data of standard samples.then quantified by the internal standard method.Results A total of 135 EPs were initially screened from tap water across the country and 24 with high chromatographic peak response were finally selected and verified by standard products,including 6 pharmaceuticals,13 pesticides,3 industrial compounds and 2 food additives.Nine of them showed detection rates of more than 60%,such as canrenone,medroxyprogesterone,hydrocortisone acetate,etc.The concentrations of detected pollutants range from ND 422.63 ng/L.And the four contaminants with higher average concentrations were canrenone,medroxyprogesterone,hydrocortisone acetate and tris(2-butoxyethyl)phosphate.Conclusion In this study,a nontarget strategy based on UPLC-QTOF-MS/MS was adopted to screen potential unknown pollutants with no-standards,and explored the overall contamination status of tap water samples.This contributed to more comprehensive understanding of the EPs distribution,and provided technical support for monitoring the EPs in tap water.

Objective To establish a simultaneous detection approach for 34 emerging contaminants(ECs)in tap water by liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Human health risk assessment was performed according to the detection results from 43 tap water samples.Methods Tap water samples were concentrated and extracted by solid phase extraction,and then blown to near dry by nitrogen at 40℃.The sample extracts were dissolved in methanol-water solution(95:5,VN)to 0.5 mL for analyzing.Agilent Jet Stream Electrospray Ionization(AJS ESI)and the multiple reaction monitoring(MRM)mode were performed for MS to acquire the data of 34 ECs.A database including precursor ion,product ion and retention times was established accordingly.Results The average linear correlation coefficients(r)of 34 kinds of ECs was 0.995 9.The limits of detection were 0.01～0.60 ng/L and the recoveries were between 60.7％and 119.8％.The intra-group precisions were between 0.05％～9.89％and the intra-day precisions were between 0.20％～14.40％for the spiked samples.The method was applied to analyze 43 tap water samples and a total of 15 ECs were detected.According to the results,the detection rate of caffeine was the highest(84％),and the concentration range was ND～74.42 ng/L.Among all the ECs detected,1,2,3-benzotriazole had the highest concentration(ND～361.15 ng/L),where detection rate was 44％.Humans may be exposed to these ECs by drinking the tap water.The human health risk assessments of 12 kinds of ECs were carried out,however,the estimated risk was negligible(risk quotient＜0.01).Conclusion The method is simple,highly sensitive and selective,and could meet the detection needs of ECs at trace level in tap water.There was no human health risk posed for ECs identified in 43 tap water samples analyzed by this method.

Objective Based on ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UPLC-QTOF-MS/MS),a nontarget screening strategy was adopted in analyzing and identifying emerging pollutants(EPs)in tap water across the country,and studying its spatial and temporal distribution characteristics.Methods After extracting tap water samples by solid phase extraction,mobile phases(0.1%aqueous formic acid and methanol solutions)was used to elute the sample on a C18 chromatographic column.The nontarget screening strategy was used to acquire the MS information in full scan mode.We extracted and analyzed the chromatographic and mass spectral peaks,then searched the spectral library to compare the exact mass numbers,and the secondary MS/MS spectra fragment ion information was compared one by one.Finally,the retention time and the mass spectrum data of candidate EPs were identified and analyzed with the data of standard samples.then quantified by the internal standard method.Results A total of 135 EPs were initially screened from tap water across the country and 24 with high chromatographic peak response were finally selected and verified by standard products,including 6 pharmaceuticals,13 pesticides,3 industrial compounds and 2 food additives.Nine of them showed detection rates of more than 60%,such as canrenone,medroxyprogesterone,hydrocortisone acetate,etc.The concentrations of detected pollutants range from ND 422.63 ng/L.And the four contaminants with higher average concentrations were canrenone,medroxyprogesterone,hydrocortisone acetate and tris(2-butoxyethyl)phosphate.Conclusion In this study,a nontarget strategy based on UPLC-QTOF-MS/MS was adopted to screen potential unknown pollutants with no-standards,and explored the overall contamination status of tap water samples.This contributed to more comprehensive understanding of the EPs distribution,and provided technical support for monitoring the EPs in tap water.

Objective To analyze the problems in the network direct reporting of information about intervention service conducted in population at high risk for HIV infection in China during 2013-2014,and provide evidence for the improvement of the network direct reporting of the intervention information.Methods The wrong records of the intervention service in population at high-risk were collected from national AIDS prevention and treatment information system.The wrong records,including those found at county (district) level and those found at state level,were analyzed with descriptive statistical method.Results A total of 1 066 wrong records were found during 2013-2014,and average annual wrong record rate was ＜0.1％.Up to 71.3％ (760/1 066) of wrong records occurred in the first half year.The wrong records in eastern,central and western areas accounted for 14.9％ (159/1 066),22.6％ (241/1 066) and 62.5％ (666/1 066) of the total respectively.More wrong records were found in the intervention information for men who have sex with men and injecting drug users than in those for female sex workers.Among the total wrong records,86.4％ (921/ 1 066) were found at county level and 13.6％ (145/1 066) were found at state level.The wrong records were mainly "annual number of persons receiving the first HIV test" and "annual number of persons covered by intervention".Common causes of wrong records were underreporting and delay,staff fault,miscalculation and misunderstanding.Conclusion In general,the wrong record rate in intervention information for population at high risk for HIV infection reported directly through network was low in China.It is necessary to strengthen the recording of the intervention service,the quality control of statistics and network direct reporting and staff training to improve the quality of reported data of intervention service.

OBJECTIVETo explore the impacts of antiretroviral treatment on drug use and high risk sexual behaviors among HIV-positive MMT clients.

METHODSA cross-sectional study was conducted in patients undergoing ART (ART-experienced) and patients not undergoing ART (ART-naive) attending MMT in 5 clinics in Yunnan Honghe and Dehong prefectures in 2014. A questionnaire was designed to collect socio-demographic characteristics, ART and MMT information and sexual and drug use behaviors within 3 months before the investigation was conducted. Logistic regression analysis was conducted to identify the predictors for drug use and risky sexual behaviors.

RESULTSA total of 328 cases were included in the analysis, among which 202 were ART-experienced and 126 were ART-naÏve. Among 152 respondents who were sexually active, 61 (40.1%) reported having unprotected sex (UPS) with their regular partners in the prior 3 months. A total of 57.6% (189/328) of the respondents used drugs in the prior 3 months. Multiple logistic regression analysis revealed that younger than 35 years old (OR = 3.57, 95% CI: 1.23-10.37), fertility desire (OR = 4.47, 95% CI: 1.49-13.41), partner being HIV-positive (OR = 4.62, 95% CI: 1.80-11.86), length of MMT attendance less than 5 years (OR = 2.92, 95% CI: 1.14-7.53), agreed that it was necessary to use condom no matter the viral load is high or low (OR = 0.14, 95% CI: 0.04-0.51) were protective factors of UPS in the prior 3 months. Multiple logistic regression analysis revealed that being Han (OR = 0.46, 95% CI: 0.24-0.89), feeling having good health status (OR = 0.39, 95% CI: 0.18-0.85), being enrolled in ART (OR = 0.32, 95% CI: 0.17-0.60) were protective factors for drug use in the prior three months, having contact with drug using friends (OR = 4.41, 95% CI: 2.31-8.29), having experience of missing an MMT dose (OR = 3.47, 95% CI: 1.92-6.29), and not satisfied with current MMT dose (OR = 13.92, 95% CI: 3.24-59.93) were risk factors for drug use during the prior three months.

CONCLUSIONART was not associated with risky sexual behavior and drug use in the prior 3 months in this population. Future interventions should promote ART among this population, and provide education at the same time to prevent the emergence of cross infections and drug-resistant strains.

Anti-HIV Agents ; China ; Condoms ; Cross-Sectional Studies ; HIV Infections ; HIV Seropositivity ; Humans ; Organometallic Compounds ; Protective Factors ; Risk Factors ; Risk-Taking ; Sexual Behavior ; Sexual Partners ; Substance-Related Disorders ; Unsafe Sex

Objective To understand the prevalence and the factors associated with depression and anxiety among patients attending the community-based methadone maintenance treatment(MMT) program.Methods 9 MMT clinics in 3 provinces were randomly selected,in which 1 301 MMT patients who met the criteria of recruitment were all interviewed.A cross-sectional study by administrative questionnaire was employed to investigate the demographics,drug abuse and MMT treatment status of the respondents.The 1301 respondents were also evaluated for depression and anxiety by SDS(Self-Rating Depression Scale) and SAS(Self-Rating Anxiety Scale) respectively.ANOVA and multivariate linear regressions analysis was used to verify the factors associated with depression and anxiety respectively.Results The prevalence of depression and anxiety among the MMT patients were 38.3%(498/1 301) and 18.4%(239/1 301).The multivariates linear regression analysis indicated that at the level of ?=0.05,gender,employment status were associated with depression,while gender,employnment status,educational level,drug abuse and methadone daily dosage were associated with anxiety.Conclusions There are certain proportions of MMT clients who suffer from depression and anxiety.The MMT clinic staff should put more emphasis on the efforts to reduce psychological disorders and its potential risks by enhancing psychological councelling,intervention and social support towards the MMT patients.