Objective: To explore the assocation of the family environment and depressive symptoms among primary and middle school students, so as to provide suggestions for further maximizing the utility of family environment in the growth of primary and secondary school students, as well as prevention and intervention of depressive symptoms among children and adolescents. Methods: From June to July 2024, through a multistage cluster random sampling method, 8 800 primary and middle school students aged 10 to 18 from 36 schools in 3 cities (Datong, Lvliang, Linfen) in Shanxi Province. A self designed questionnaire was used to conduct a family environment survey, including family socioeconomic conditions, family structure, family parenting behavior, family member health behavior, etc; and the depression symptoms of primary and secondary school students were investigated by Patient Health Questionnaire-9. The χ 2 test and binary Logistic regression to method were used to analyze the association of the family environment with depressive symptoms among primary and secondary school students, and to analyze gender and urban-rural heterogeneity in this association. Results: The detection rate of depressive symptoms among primary and middle school students was 46.7% ( n = 4 111 ). Among them, the detection rates of depressive symptoms for male and female students were 45.7% and 47.7% respectively, and the detection rates for rural and urban students were 48.0% and 44.9% respectively. The results of binary Logistic regression model showed that in the family environment, factors such as the father s education level (junior high school: OR =0.84), self assessed family socio economic status (average: OR =0.78, good: OR =0.80), parental support and understanding (yes: OR = 0.55 ), family atmosphere (harmonious: OR =0.66), living arrangement (living only with father or mother: OR =1.31, living with parents and grandparents: OR =1.19), and family rearing style (combining punishment and reward: OR =1.42, punishment only: OR =1.25) were related to depressive symptoms in primary and middle school students in Shanxi Province ( P <0.05). From the perspective of gender heterogeneity, the living arrangement (living only with father or mother: OR =1.67, others: OR =1.67) had a statistically significant association with depressive symptoms in male students ( P <0.05). From the perspective of urban rural heterogeneity, the living arrangement (living only with father or mother: OR =1.38) had a statistically significant association with depressive symptoms in rural primary and middle school students ( P <0.05). Conclusions The family environment has an important impact on depressive symptoms in primary and middle school students. Family functioning should be fully exerted to prevent depressive symptoms in primary and middle school students.

Objective To investigate the sputum metabolic profiles of patients with occupational coal workers' pneumoconiosis (CWP) by an untargeted metabolomics method, and to identify relevant differential metabolic pathways and potential biomarkers. Methods A total of 12 male patients with stage Ⅰ CWP were selected as the CWP group, and 16 healthy male individuals were selected as the control group, using a judgmental sampling method. Sputum metabolites of individuals in both groups were detected to perform non-targeted metabolomic analysis using the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differential metabolites (DMs) and their pathways were screened using principal component analysis, partial least squares discriminant analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Potential biomarkers were analyzed and identified via the receiver operating characteristic curve (ROC). Results There were apparent metabolic alterations observed in sputum of CWP patients compared with healthy controls. In the positive ion mode, a total of 42 DMs were identified in sputum from CWP patients, including 19 downregulated and 23 upregulated metabolites. In the negative ion mode, a total of 25 DMs were identified in sputum from CWP patients, including 16 downregulated and 9 upregulated metabolites. KEGG enrichment analysis of sputum from CWP patients showed that seven DMs pathways were enriched in ABC transporters, histidine metabolism, phenylalanine metabolism, arachidonic acid metabolism, linoleic acid metabolism, purine metabolism, and oxidative phosphorylation, involving 26 DMs. ROC analysis indicated that 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate of these 26 DMs may serve as potential biomarkers for CWP. Conclusion Sputum metabolomic profiles were altered in CWP patients compared with healthy controls. The potential biomarkers of CWP prevention and treatment are 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate.

Objective: To explore the association between school climate and suicide behavior among primary and secondary school students, so as to provide recommendations for preventing student suicide in schools. Methods: From June to July 2024, a stratified cluster random sampling method was employed to conduct a questionnaire survey on suicidal behavior and school climate among 8 722 students from 36 schools in Lüliang, Linfen, and Datong cities, Shanxi Province. The relationship between school climate and suicidal behavior was analyzed using Chi square test and binary Logistic regression, supplemented by gender heterogeneity and interaction analyses. Results: The prevalence of suicidal behavior among students in Shanxi Province was 11.1%. After adjusting for age, gender, educational stage, parents educational level, residential status, family economic condition, parents marital status and depressive symptoms, binary Logistic regression analysis revealed that peer relationships ( OR=0.72, 95%CI =0.57- 0.91 ), peer trust ( OR=0.73, 95%CI =0.58-0.92), teacher support ( OR=0.66, 95%CI =0.53-0.82), school safety ( OR=0.61, 95%CI =0.48-0.78), having more than six friends ( OR=0.64, 95%CI =0.43-0.98), and school belongingness ( OR=0.70, 95%CI =0.56-0.88) among primary and secondary school students were associated with a lower risk of suicidal behavior (all P <0.05). Students who experienced school bullying showed a higher risk of suicidal behavior ( OR=2.95, 95%CI =1.80-4.82, P <0.05). Gender specific analysis revealed that peer relationships ( OR=0.67, 95%CI =0.48-0.92), peer trust ( OR=0.66, 95%CI =0.49-0.90), and school belongingness ( OR=0.62, 95%CI =0.45-0.84) were associated with a lower risk of suicidal behavior suicide behavior in girls; teacher support ( OR=0.50, 95%CI =0.36-0.70) and having more than six friends ( OR=0.51, 95%CI =0.27- 0.96 ) were associated with a lower risk of suicidal behavior in boys, who experienced school bullying showed a higher risk of suicidal behavior ( OR=4.19, 95%CI =2.18-8.03) (all P <0.05). Interactive analysis revealed that the dual interaction between peer support and school safety could reduced the risk of suicide behavior among primary and secondary school students safety ( OR= 0.83 , 95%CI=0.70-0.99, P <0.05). Conclusions School climate is closely associated with suicidal behavior among primary and secondary school students in Shanxi Province, with gender differences present. Schools should foster a positive school environment to prevent student suicide behaviors.

As a multifactorial chronic metabolic disorder with complex causes and serious health risks, obesity has drawn significant societal and medical attention. This article systematically reviewed the latest advancements in the clinical diagnosis and treatment of obesity. A disease-centered diagnosis and treatment concept has been proposed, which combines BMI and introduces a brand-new clinical diagnosis and treatment standard centered on fat content and functional disorders, such as new diagnostic markers like adipose tissue distribution, visceral adiposity, and waist-to-height ratio, to conduct a comprehensive assessment and lifespan management of patients. In recent years, novel biomarkers and artificial intelligence (AI)-assisted diagnosis have provided new tools for the diagnosis and treatment of obesity. In terms of treatment, combined therapy based on lifestyle and behavioral intervention has been widely recognized. The advent of new weight-loss drugs, such as glucagon-like peptide-1(GLP-1), minimally invasive techniques such as endoscopic sleeve gastrectomy(ESG), which reduced surgical risks, have provided possibilities for the treatment of obesity. The current concept of obesity management has become increasingly mature, feasible, and standardized. The construction principles of a weight management center, characterized by centralized management and individualized treatment, ensure the long-term stability of body weight and promote a healthy quality of life for patients with obesity.

ObjectiveBased on fluorescence lifetime imaging technology, a novel method for viscosity detection is proposed and the capability of different weighting of fluorescence lifetimes in distinguishing the viscosity of glycerol-water mixtures is evaluated, aiming to enhance the accuracy and reliability of viscosity differentiation. MethodsThis approach incorporates the principles of electronic weighting, introducing both amplitude-weighted average fluorescence lifetime (τ_m) and intensity-weighted average fluorescence lifetime (τ_i). Viscosity changes in glycerol-water mixtures are detected through τ_m and τ_i. τ_m Reflects the relationship between fluorescence signal amplitude and time, while τ_i focuses on the time-varying characteristics of fluorescence signal intensity. ResultsThe results of both τ_m and τ_i mutually corroborate each other, not only enhancing the reliability in detecting viscosity changes in glycerol-water mixtures but also revealing their unique roles in the detection process. Although τ_m plays a crucial role in capturing changes in fluorescence signal amplitude, τ_i exhibits higher accuracy in viscosity detection when considering the time-varying characteristics of fluorescence signal intensity. It is particularly noteworthy that, due to τ_i’s greater sensitivity, microenvironment viscosity detection can be directly analyzed using τ_i. This provides a more convenient approach for real-time, highly sensitive microfluidic viscosity monitoring. Therefore, through the comprehensive utilization of τ_m and τ_i, a more thorough and accurate understanding of the viscosity information in glycerol-water mixtures can be obtained, and specific parameters can be selected for in-depth analysis based on specific needs. ConclusionThe combination of amplitude weighting and intensity weighting allows for a more sensitive identification of subtle changes in viscosity under different conditions. The innovation of this method lies in its simultaneous consideration of multiple parameters, enhancing sensitivity and distinguishability to variations in viscosity. Therefore, this weighted-dependent fluorescence lifetime imaging technique not only introduces a novel approach for viscosity detection in glycerol-water mixtures but also provides a powerful analytical tool for various fields, including microfluidics, rheology, and research on novel functional materials.

Objective:To evaluate the dosimetric characteristics, safety and effectiveness of magnetic resonance-guided fractionated stereotactic radiotherapy (FSRT) for brain tumors.Methods:Clinical data of 8 brain tumor patients treated with magnetic resonance-guided FSRT in the Radiotherapy Department of the First Medical Center of the PLA General Hospital from July 2023 to February 2024 were retrospectively analyzed. Online adaptive radiotherapy was adopted for all patients. Adapt-to-position (ATP) or adapt-to-shape (ATS) radiotherapy was chosen by radiologists. Each adaptation was initiated after the radiotherapy plan was re-examined. The radiotherapy fractionation plan was 21-30 Gy/3-5 F. Clinical characteristics, radiotherapy plans and plan parameters were analyzed by statistical description. Median ( Q1， Q3) was used to describe continuous data and percentage was used to describe categorical data. Results:In this study, 9 lesions were treated a total of 41 times, including 20 times (49%) of ATP plan and 21 times (51%) of ATS plan. The median target area coverage rate was 95.1% (95%, 99.8%), the median target area maximum dose rate was 1.15 (1.07, 1.31), the median conformity index (CI) was 0.75 (0.69, 0.86), the median homogeneity index (HI) was 1.09 (1.06, 1.21), and the median gradient index (GI) was 4.73 (3.36, 8.45), respectively. After ATS plan, the median reduction in gross target volume (GTV) was 8.22 cm3 (1.2, 10.1 cm3), and the median reduction in brain tissue V12 Gy was 30.46 cm3 (8.34, 31.13 cm3).The median follow-up was 3.2 months (1.4, 6.1 months). No radiation necrosis was found in any patient. There were 2 cases of acute brain edema during radiotherapy (both were mild). Except for 1 case who died due to systemic disease progression, the remaining patients had no local recurrence, and achieved good quality of life. Conclusions:The parameters of the treatment plan of magnetic resonance-guided FSRT are generally acceptable. The adaptive plan can effectively reduce the dose of normal brain tissues. It is safe and feasible to use the magnetic resonance-guided FSRT for brain tumors.

Cation exchange chromatography, as a commonly used separation and purification technique in biopharmaceutical manufacturing, is often employed for downstream processes to separate target monoclonal antibodies from their charge variants. For samples with complex and poorly resolved charge variant profiles, the collection solely based on ultraviolet detection does not provide specific compositional information for individual charge variants, making it challenging to determine the range of pooled fractions directly. Subsequent laborious fractionation analysis is then required to guide collection according to production requirements. A mechanistic model for the cation exchange chromatography process of the target monoclonal antibody's critical components was established, and it was employed to assist in product collection. The model accurately predicted the elution peak shapes of the modeled variants, with a root mean square error between predicted and actual values below 0.009. In comparison to the online ultraviolet-based collection method, the model-assisted collection method not only visualized the chromatographic process but also increased the relative productivity by fourfold while ensuring compliance rate.

Objective To evaluate the application value of the three-point localization method in improving the quality and efficiency of four-chamber view acquisition in cardiac magnetic resonance(CMR)imaging.Methods A total of 215 patients who underwent four-chamber view in CMR imaging from January 2022 to October 2023 were retrospectively enrolled and divided into two groups.The control group(n=109)received traditional localization method while the study group(n=106)received three-point localization method.The image quality of mitral valve,tricuspid valve and cruciform structure in four-chamber view images were assessed by two radiologists using a Likert 4-piont scale.The time-consumption from scout imaging to the finish of four-chamber view imaging was recorded.Constituent data and numeral data were compared by Chi-square test and two-sample t test,respectively.Kappa test was used to analyze the inter-observer consistency.Results There were no significant inter-group differences in gender,age,disease profile,or the radiographers'experience.The mean quality scores of the mitral valve,tricuspid valve and cruciform structure in the control group and the study group were 3.44±0.64 and 3.63±0.49(P=0.023),3.43±0.67 and 3.53±0.60(P=0.202),3.71±0.49 and 3.83±0.35(P=0.047),respectively.The image quality score was higher in the study group than in the control group,with the differences in mitral valve and cruciform structure reaching statistical significance.The time-consumption for obtaining four-chamber view for the control group and the study group was 11.67±3.49 minutes and 7.212±1.83 minutes,respectively,with statistically significant differences(P＜0.001).Conclusion Compared with the traditional localization method,the three-point localization method provides better image quality in four-chamber view imaging with shortened imaging time.

Objective To investigate the value of abdominal aortic combined with routine one-stop triple rule-out computed tomography angiography(TRO-CTA)in the examination of patients with acute chest pain.Methods A total of 1 482 patients with nontraumatic chest pain were included in this retrospective study.Of them 414 patients underwent the conventional TRO-CTA scanning while 1 068 patients underwent TRO-CTA that included the abdominal aorta(TRO-CTAwAA)under the request of clinicians.All scanning parameters were the same,except the scanning range for the third phase in TRO-CTA:conventional TRO-CTA covered only the thoracic aorta,while TRO-CTAwAA extended to the entire aorta.Patient etiology was investigated and the detection rates of major vessel abnormalities(aortic dissection,aneurysm,penetrating ulcer,intramural hematoma,vascular occlusion,and thrombosis)between the two groups was compared using chi square tests.The radiation dose(CTDIvol and DLP)and scanning time between the two groups were compared using analysis of variance(ANOVA).Results The TRO-CTAwAA had significantly higher detection rate of major artery abnormalities than the TRO-CTA group(35.1％vs.4.8％,P＜0.001).In the TRO-CTAwAA group,26.5％of the vascular anomalies were detected in both the thoracic and abdominal aortas,and another 8.6％were seen only in the abdominal aorta.With regard to the radiation dose between the two groups,the total DLP was significantly higher in the TRO-CTAwAA group than in the conventional TRO-CTA group(P＜0.001).The two groups did not significantly differ in scanning time(P=0.410).Conclusion TRO-CTA with scan range including the abdominal aorta significantly improves the detection rate for major vessel abnormalities in patients with chest pain without increasing the examination process.

Objective To evaluate the relationship between the pericoronary fat attenuation index(FAI)and the image reconstruction parameters of computed tomography(CT)coronary angiography,including reconstruction kernel,iterative reconstruction algorithm and image thickness.Methods Forty-four CT coronary angiography scans were prospectively enrolled.All scans were reconstructed by three means as follows:① Four different kernels(Soft_AA,Soft_BA,Soft_CA,and Soft_DA,sharpness from low to high)as the iterative reconstruction algorithm(KARL5)and image thickness(0.5 mm)remained unchanged.② Filtered back projection(FBP)and iterative reconstruction kernel(KARL5)as the kernel and image thickness(0.5 mm)remained unchanged.③ Different image thickness(0.5 mm and 1 mm)as the kernel(Soft_AA)and iterative reconstruction algorithm(KARL5)remained unchanged.The FAI of left anterior descending artery(LAD),left circumflex artery(LCX),and right coronary artery(RCA)was calculated using a dedicated software.Paired t-test and analysis of variance were used for statistical analysis.Results For LAD,LCX and RCA:① The differences of FAI among different reconstruction kernels reached statistical significance(P＜0.001),and FAI decreased as the sharper kernel was used.③ Compared with FBP,the FAI of KARL5-reconstructed images significantly increased(P＜0.001).③ Compared with 0.5 mm,the FAI of images with 1.0 mm thickness significantly decreased(P＜0.001).Conclusion The kernel,iterative reconstruction algorithms,and image thickness all have a significant impact on the FAI of each coronary artery.When using FAI for clinical diagnosis,the effect of CT reconstruction parameters should be taken into account.