Objective: To establish a prediction model for non-suicidal self-injury (NSSI) behavior risk among children aged 10 to 13 years, so as to provide the basis for early prevention and intervention of NSSI behavior in children. Method: Students aged 10 to 13 years from four primary schools in Cixi City, Zhejiang Province from 2023 to 2024 were selected using a stratified cluster sampling method. Basic information, parents' marital status, family functioning, peer relationships, and academic satisfaction were collected through a questionnaire survey. The NSSI behavior in the past year was investigated by the Adolescent NSSI Behavior Rating Scale. The influencing factors for NSSI behavior were screened using a multivariable logistic regression model. A nomogram was established and verified with receiver operating characteristic (ROC) curve. Hosmer-Lemeshow goodness of fit test was used to evaluate the fitting effect and Bootstrap method was used for internal verification. Results: A total of 986 students were surveyed, including 516 boys (52.33%) and 470 girls (47.67%). In the past year, 173 students (17.55%) engaged in NSSI behavior. The multivariable logistic regression model identified four influencing factors of NSSI behavior, and the prediction model was established as follows: ln[p/(1-p)]=-2.930+0.747×recent unpleasant events in the past week+0.441×having new media accounts+0.972×self-rated poor health status+0.557×self-rated general health status+0.745×family functioning. The area under the ROC curve was 0.791 (95%CI: 0.754-0.827), with a sensitivity of 0.792 and a specificity of 0.636. Conclusions The constructed nomogram model demonstrates a certain degree of discrimination, with good calibration and stability. It can be used to roughly predict the risk of NSSI behavior occurrence among children aged 10 to 13 years.

Objective To assess the health risks of gaseous pollutants in the indoor air of hair and beauty salons in Jinan, and to provide technical support for strengthening the hygiene management of hair and beauty salons in Jinan and promoting the improvement of conditions. Methods Every year, indoor air samples were collected from 10-16 selected hair salons and beauty salons in Jinan, and relevant information on practitioners was also collected. According to the ^“Technical Guidelines for Environmental Health Risk Assessment of Chemicals^”, an assessment was conducted on the carcinogenic and non-carcinogenic risks of inhalation pathways of gaseous pollutants in the indoor air of hair salons and beauty salons. Results Benzene, toluene, xylene, formaldehyde, and ammonia were detected in the indoor air of hair salons and beauty salons. Formaldehyde, benzene, and ammonia all exceeded the standard in hair salons and beauty salons. The median risk values of formaldehyde and benzene for carcinogenesis in hair salons and beauty salons were both greater than 10^-6, with maximum values higher than 10^-4. The median chronic non-carcinogenic risk value of formaldehyde in the indoor air of hair salons and beauty salons was greater than 1. The median chronic non-carcinogenic risk values for benzene and ammonia were both less than 1, but the maximum risk value was greater than 1. Conclusion Benzene and formaldehyde in the indoor air of hair salons and beauty salons in Jinan City have carcinogenic and non-carcinogenic risks, while ammonia has non-carcinogenic risks, which should be paid attention to.

With the deepening of modern drug research,traditional computer simulation can not meet the needs of future drug design experiments.As a classic technology of standard computer simulation,molecular simulation can construct and analyze complex molecular models to study the dynamic processes of molecular motion.However,the simulation results are easy to be affected by human factors.In recent years,the integration of artificial intelligence and molecular simulation has become a new method of drug design research.Artificial intelligence technology uses big data to screen out the corresponding compounds for molecular simulation and feedback on the simulation results to the artificial intelligence system to optimize the artificial neural network.The combination of artificial intelligence and molecular simulation technology improves the efficiency of drug design research,reduces the influence of human factors on simulation results,and increases the credibility of simulation results.In this review,we summarized the progress of artificial intelligence and molecular simulation technology in drug design to provide a reference for the change from computer assisted drug design(CADD)to artificial intelligence-aided drug design(AIDD)in future pharmaceutical development.

As one of the traditional computer simulation techniques, molecular simulation can intuitively display and quantify molecular structure and explain experimental phenomena from the microscopic molecular level. When the simulation system increases, the amount of calculation will also increase, which will cause a great burden on the simulation system. Coarse-grained molecular dynamics is a method of mesoscopic molecular simulation, which can simplify the molecular structure and improve computational efficiency, as a result, coarse-grained molecular dynamics is often used when simulating macromolecular systems such as drug carrier materials. In this article, we reviewed the recent research results of using coarse-grained molecular dynamics to simulate drug carriers, in order to provide a reference for future pharmaceutical preparation research and accelerate the entry of drug research into the era of precision drug design.
Molecular Dynamics Simulation ; Drug Carriers

Objective:To investigate correlations between blood lipid levels and clinical characteristics of patients with psoriasis vulgaris (PsV) in Fujian province.Methods:Totally, 245 PsV patients were enrolled from Department of Dermatology of the First Affiliated Hospital of Fujian Medical University from March 2019 to March 2022, and 250 gender-, age-, and body mass index-matched health checkup examinees served as controls. Their biochemical indicators, such as blood lipids, liver function, and kidney function, were evaluated. Clinical data, such as disease courses, involvement of specific sites, history of smoking and alcohol consumption, and family history of psoriasis, were collected from the PsV patients, and correlations between these clinical data and dyslipidemia were analyzed. Measurement data were compared using t test or Mann-Whitney U test, and enumeration data were compared using chi-square test. Results:There were 122 (50.8%) patients with dyslipidemia in the PsV group and 94 (37.6%) in the control group, and the prevalence of dyslipidemia significantly differed between the two groups ( χ2 = 7.48, P = 0.006). The prevalence of hypo-high-density lipoprotein cholesterolemia was significantly higher in the PsV group (29.8%) than in the control group (18.8%; χ2 = 8.15, P = 0.004). The PsV group showed significantly decreased serum levels of total cholesterol (4.5[3.9, 5.2] mmol/L), high-density-lipoprotein cholesterol (1.1[1.0, 1.3] mmol/L), and apolipoprotein A1 (1.2[1.1, 1.4] g/L) compared with the control group (4.9[4.3, 5.4] mmol/L, 1.3[1.1, 1.5] mmol/L, 1.3[1.2, 1.5] g/L, respectively; all P < 0.001). The proportions of males, patients with a history of alcohol consumption, and patients with involvement of the palmoplantar sites were significantly higher in the PsV patients with dyslipidemia (92.6%, 13.1%, 13.8%, respectively) than in those without dyslipidemia (70.7%, 6.0%, 5.0%, respectively; all P < 0.001). Multifactorial logistic regression analysis showed that "male" and "BMI ≥ 25 kg/m 2" were independent risk factors for dyslipidemia in the PsV patients ( OR [95% CI]: 3.94 [1.74, 9.74], 3.18 [1.71, 6.09], respectively), and "involvement of the palmoplantar sites" was independently associated with increased risk of hyperlipidemia ( OR [95% CI]: 3.38 [1.18, 11.01]) . Conclusion:The prevalence of dyslipidemia was higher in PsV patients than in healthy populations, and PsV patients being males, having BMI ≥ 25 kg/m 2 and with involvement of palmoplantar sites may be prone to develop lipid metabolism disorders.

Objective:To identify and to analyze occupational exposure factors generating from production process in an enterprise processing waste electronic products, to provide scientific evidences for protection measures.Methods:From June to October 2017, seven waste electrical and electronic product processing enterprises in a province were selected as the research objects. These seven enterprises all include refrigerator dismantling line, washing machine dismantling line, air conditioning dismantling line, TV/computer dismantling line, CRT cutting line. Some enterprises also have circuit board line, wet precious metal recycling line, plastic crushing line, plastic granulating line and other deep processing operations such as precious metal recycling of waste circuit board, waste plastic crushing and recycling. The data were collected by the methods of occupational health field investigation and occupational health testing, and the exposure level of occupational hazard factors was evaluated by combining the effect of the protective facilities of occupational health engineering.Results:the main occupational hazard factors of waste electrical and electronic products treatment enterprises were dust, noise, heavy metal, flame retardant, mercury, fluoride, cyanide, sodium hydroxide, hydrochloric acid and nitric acid. 145 effective samples were obtained from heavy metal sampling, including 102 individual samples and 43 fixed-point long-term samples. Among them, 8 samples lead exceeded the standard, all occurred in the TV dismantling line. In addition to flame retardants, plasticizers, insecticides and other components can be detected by high-throughput qualitative analysis using liquid chromatography-time-of-flight mass spectrometry. Finally, 123 effective 8-h equivalent sound level values were obtained by individual noise detection, 86 of which exceeded the standard, with a rate of 69.9%.Conclusion:there are potential occupational hazards in the process of dismantling waste electrical and electronic products.

Objective:To identify and to analyze occupational exposure factors generating from production process in an enterprise processing waste electronic products, to provide scientific evidences for protection measures.Methods:From June to October 2017, seven waste electrical and electronic product processing enterprises in a province were selected as the research objects. These seven enterprises all include refrigerator dismantling line, washing machine dismantling line, air conditioning dismantling line, TV/computer dismantling line, CRT cutting line. Some enterprises also have circuit board line, wet precious metal recycling line, plastic crushing line, plastic granulating line and other deep processing operations such as precious metal recycling of waste circuit board, waste plastic crushing and recycling. The data were collected by the methods of occupational health field investigation and occupational health testing, and the exposure level of occupational hazard factors was evaluated by combining the effect of the protective facilities of occupational health engineering.Results:the main occupational hazard factors of waste electrical and electronic products treatment enterprises were dust, noise, heavy metal, flame retardant, mercury, fluoride, cyanide, sodium hydroxide, hydrochloric acid and nitric acid. 145 effective samples were obtained from heavy metal sampling, including 102 individual samples and 43 fixed-point long-term samples. Among them, 8 samples lead exceeded the standard, all occurred in the TV dismantling line. In addition to flame retardants, plasticizers, insecticides and other components can be detected by high-throughput qualitative analysis using liquid chromatography-time-of-flight mass spectrometry. Finally, 123 effective 8-h equivalent sound level values were obtained by individual noise detection, 86 of which exceeded the standard, with a rate of 69.9%.Conclusion:there are potential occupational hazards in the process of dismantling waste electrical and electronic products.

Objective To observe the application of mtDNA COI genes in common sarcosaphagous flies species identification. Methods 30 sarcosaphagous fly samples were indentified by morphological method which collected in different regions belonging to 2 families, 4 genera and 6 species. MtDNA was extracted for the PCR amplification reaction in COI gene. The PCR products were purified through agar gel electrophoresis and sequenced. Sequences of 498 bp in COI gene were disposed by multiple-alignment software of DNAMAN. Sequences divergence of 498 bp between and within species of COI gene were processed by software of MEGA. Results It was showed that there is a certain sequence differences between the 30 samples from 6 species. The intraspecific and interspecific divergence of sequence variation ranged from 0.1% to 1.6% and 2.2% to 11.2% respectively. All the species can be identified successfully by this method. Conclusion Species identification of sarcosaphagous flies can be conducted by sequence analysis and phylogenetic tree of COI gene. This method can be effectively used in fast and accurate identification in forensic entomology.

Objective To investigate the relation of epicardial adipose tissue volume (EATV) determined by dual-source CT(DSCT) cardiac angiography and EAT-derived inflammatory factors to coronary heart disease (CHD) and vulnerable plaque.Methods A total of 260 patients underwent cardiac computed tomography to evaluate stenosis of coronary artery,and blood samples were obtained from each patient.CHD was confirmed in 180 patients by DSA and CHD was excluded in the remaining 80 patients (NCHD).Vascular remodeling index and plaque vulnerability parameters (fatty volume,fibrous volume and calcification volume and fiber volume) were measured in CHD patients and correlation with EATV was analyzed.Epicardial adipose tissue (EAT) and intrathoracic adipose tissue (TAT) were collected from 40 CHD patients undergoing CABG surgery,and,mRNA and protein expressions of leptin and MMP9 were detected by RT-PCR and Western blot analysis.Results (1) The EATV was significantly higher in the C HD group than in NCHD group ((121.2 ± 40.6) mm3 vs.(74.7 ± 18.1) mm3,P =0.01).(2) Subgroup analysis of the CHD patients demonstrated that EATV was significantly higher in patients with positive remodeling than in patients without positive remodeling ((97.6 ± 42.0) cm3 vs.(75.5 ± 25.4) cm3,P =0.01).Lipid plaque volume was positively correlated with EATV (r =0.34,P =0.002) ; however,fiber plaque volume was negatively correlated with EATV (r =-0.30,P =0.008).(3) Logistic regression analysis indicated that EATV was an independent risk factor for positive vascular remodeling(OR =2.01,95％ CI:1.30-2.32,P =0.01).(4) mRNA and protein expression of leptin and MMP9 in EAT was significantly upregulated in 40 CHD patients who received CABG surgery compared to 40 NCHD patients (P ＜ 0.01).However,there was no significant difference (P ＞ 0.05) in mRNA and protein expression of leptin and MMP9 from the SAT between CHD and NCHD patients.(5) In the CHD group,leptin and MMP9 levels in EAT and EATV were positively correlated with lipid plaque volume and fibrous plaque volume (P ＜ 0.05).Conclusions EATV is an independent risk factors of coronary heart disease and plaque vulnerability; EAT secretion of inflammatory cytokines from CHD patients is significant increased compared to NCHD patients,EAT secretion of inflammatory cytokines are positively correlated with EATV,both of which are determinants affecting vascular remodeling.Reducing EATV might help to attenuate inflammation and plaque vulnerability and reduce the risk of coronary heart disease.

Objective To optimize the processing technology for Radix Puerariae simmered with wheat bran.Methods Orthogonal experiment L9(34) was chosen to optimize the technology. The external properties of Radix Puerariae simmered by wheat bran, the content of puerarin and the antidiarrheal effect on mice with diarrhea caused by folium sennae were used as indexes. Comprehensive weighted score was employed to optimize simmering Radix Puerariae with wheat bran technology.Results Processing time was the main affecting factor, while processing temperature had no significant effect. The optimum processing parameters were 100 g Radix Puerariae simmered with 30 g wheat bran at 160℃ for 2 minutes.Conclusion The optimum processing technology was simple and convenient, and with good reproducibility and operability. It is also helpful for the quality control of Radix Puerariae simmered with wheat bran.