Obesity is a multi-factorial disease involving genetics, individual behavior, socio-economic status, and environmental factors, and has become a global public health issue. The food environment, as an external factor amenable to direct intervention, affects the development of obesity by shaping individual food acquisition and consumption behaviors. The food environment refers to the physical and social environment where food is accessible, and can be assessed from dimensions such as availability, accessibility, and affordability through geographic information system spatial analysis, field surveys, commercial databases, and questionnaires. Studies indicate that the food environment can influence obesity through the spatial shaping effects of dietary structure and sociobehavioral pathways. A healthy food environment is negatively correlated with the risk of obesity, whereas an unhealthy food environment is positively correlated with the risk of obesity. This paper reviews studies related to the correlation between the food environment and obesity, covering the prevalence of obesity, the definition and assessment methods of the food environment, and the mechanisms by which the food environment affects obesity. It summarizes food environment intervention strategies centered on urban planning, policies and regulations, and community education to provide a reference for obesity prevention and control.

ObjectiveTo address the key challenges in breast electrical impedance tomography (EIT) reconstruction including the severe ill‑posedness of the inverse problem, limited measurement information from the electrodes, low contrast of small lesions, as well as the common drawbacks of traditional reconstruction methods such as boundary blurring, low spatial resolution, and weak small-target detection capability, and to overcome the limitations of existing deep learning approaches namely low training efficiency, insufficient physical consistency, and substantial information loss during the low‑to‑high dimensional mapping process, this study proposes a multi‑scale attention and dynamic sparse mask fusion network (MADS‑Net). The proposed method aims to enhance high‑resolution reconstruction accuracy, small-lesion detectability, noise robustness, and computational efficiency in breast‑screening-oriented EIT, thereby providing a feasible solution for the application of EIT in breast functional imaging. MethodsThe proposed network adopts a strategy of “locate first, reconstruct later”. It realizes adaptive allocation of computational resources through a dynamic mask module, alleviates information loss in the low-to-high dimensional mapping process via a multi-scale attention mechanism, and embeds physical constraints to improve the physical rationality of reconstruction results. The performance of the proposed method was validated through systematic numerical simulations, agar phantom experiments, and porcine tissue experiments. Comparisons were made with mainstream methods including the Gauss-Newton algorithm, convolutional neural networks, U-Net, and Deep D-Bar. The image correlation coefficient (ICC), root mean square error (RMSE), and peak signal-to-noise ratio (PSNR) were adopted as quantitative evaluation metrics. Furthermore, lesion‑level evaluation metrics were introduced to assess the capability of different methods in reconstructing abnormal target boundaries and small‑sized target regions. ResultsExperimental results demonstrate that MADS-Net outperforms all comparison methods across all test scenarios. In numerical simulations, it achieves higher accuracy in target morphology and spatial location recovery as well as better background suppression. In agar phantom experiments, its detection and imaging reliability for small targets is significantly superior to the comparison methods. In porcine tissue experiments, the model maintains good generalization performance and can adapt to complex biological tissue imaging scenarios. Quantitative results show that MADS-Net achieves an average ICC of 0.917 6±0.048 8, an RMSE as low as0.060 6±0.031 6, and a PSNR of (23.893 9±2.685 3) dB. It successfully detects tiny targets as small as 5 mm within a 100 mm diameter sensing field, reduces the total training duration by 23.5% compared with the baseline method, and maintains stable reconstruction performance even under strong noise interference. ConclusionThe results demonstrate that MADS-Net achieves favorable EIT reconstruction performance in numerical simulations, agar phantom experiments, and porcine tissue experiments, even under common practical imaging challenges including low signal-to-noise ratio and blurred tissue boundaries. This study provides a methodological reference for further research on EIT in breast-screening-related scenarios and other medical functional imaging tasks, and also offers a low-cost, radiation-free alternative for breast lesion screening that aligns with the clinical demand for non-invasive diagnostic tools. It should be noted that real clinical breast data have not yet been used for validation in this study, and the clinical applicability of the proposed method requires further investigation. Future work will prioritize collecting multi-center real clinical breast datasets, and further optimize the model’s generalization ability to adapt to individual differences in breast tissue composition to promote its clinical application.

On the basis of that the fluorescence wavelength of copper nanoclusters(CuNCs)could cover the entire visible region,multicolor fluorescent CuNCs/starch composites were prepared and applied in fingermark development.With L-glutathione as the reducing agent and protective ligand,blue emissive and orange emissive CuNCs solutions were obtained in alkaline solutions at 90℃and 25℃,respectively.With the aggregation-induced emission effect induced by ethanol as a poor solvent,the fluorescence of orange emissive CuNCs with a higher intensity was achieved in an ethanol-water solution.With ascorbic acid as the reducing agent and 3-mercaptopropionic acid as the protective agent,green emissive CuNCs solution was prepared in an acid solution.Particle morphologies,chemical compositions and optical properties of these three CuNCs above were investigated using physical characterization and spectroscopic analysis,indicating that well-dispersed CuNCs had excellent photoluminescent properties.These CuNCs solutions were combined with starch to form composite powders by simply drying.The influences of the type of CuNCs and the ratio of CuNCs to starch on the emission wavelength and fluorescence intensity of the products were studied.The obtained CuNCs/starch composites could emit blue,green and orange fluorescence under 365 nm ultraviolet light,respectively,which were suitable for fingermark development.Minutiae and partial level-3 features of latent fingermarks could be effectively developed.High-quality fluorescence fingermark images would be captured using appropriate optical filters to eliminate background interference of various substrates.

Hepatocellular carcinoma(HCC)is one of common cancer that seriously endangers human health.Designing methods for early,rapid,and accurate diagnosis of HCC has become the key point.Golgi protein 73(GP73),a novel potential biomarker for HCC,is crucial for diagnosis and treatment of HCC.In this study,a colorimetric sensor with rapidity,smplicity and high specificity was established for detection of GP73 based on peroxidase-like activity of hemin-reduced graphene oxide-manganese dioxide(H-rGO-MnO2).The H-rGO-MnO2-GP73Apt1 signal probe was synthesized by carboxyl of H-rGO-MnO2 nanozyme and amination of GP73 aptamer(GP73Apt1)though amide reaction.In the presence of GP73,the sulfhydryl-modifed GP73 aptamer(GP73Apt2),as the capture probe,and the signal probe both specifically recognized GP73,forming a sandwich structure(GP73Apt2-GP73-H-rGO-MnO2-GP73Apt1).This structure could catalyze the oxidation of H2O2 to produce hydroxyl radical(·OH),thereby oxidizing the colorless phthalenediamine(OPD)into the yellow 2,3-diaminophenazine(DPA).The quantitative detection of GP73 was achieved by measuring the characteristic absorbance of DPA at 450 nm.In the GP73 concentration range of 10-150 ng/mL,there was a good linear relationship between the DPA absorbance at 450 nm(A450 nm)and the GP73 concentration under optimal conditions.The linear equation was A450 nm=0.00321CGP73+0.8988,with the correlation coefficient(R2)of 0.9960 and the detection limit(LOD)of 5.38 ng/mL.The colorimetric sensor was applied to detection of GP73 in human serum samples,with recoveries of 88.4%?98.8%.This sensor showed high specificity,sensitivity,and stability,and had potential for clinical detection of GP73,providing a new approach for the early diagnosis of HCC.

Objectives:To investigate the epidemiological characteristics and ethnic differences of cardiovascular-kidney-metabolic syndrome(CKM)among the Hani,Dai,Bai,and Lisu populations in Yunnan Province,and to provide evidence for developing effective prevention and control strategies for CKM.Methods:A cross-sectional survey was conducted among four ethnic minority groups.A total of 3 906 permanent residents aged 18 years and older were enrolled using a multistage cluster random sampling method.CKM stages(0-4)were defined based on the 2023 American Heart Association criteria,stages 3-4 were classified as advanced CKM.Descriptive statistics and chi-square tests were used to compare the prevalence of CKM stages across ethnic groups.Modified Poisson regression was applied to estimate relative risk(RR)and 95%confidence intervals(CI)for factors associated with advanced CKM.Results:The prevalence rates of CKM stage 1 and above among the Hani,Dai,Bai and Lisu ethnic groups were 80.1%,87.3%,84.8%and 67.8%,respectively.The prevalence of CKM was generally higher in males than in females,and the prevalence of CKM increased significantly with age.The Dai ethnic group had the highest prevalence of advanced CKM(24.7%,95%CI:22.1%-27.4%),while the Lisu ethnic group had the lowest prevalence of advanced CKM(13.7%,95%CI:11.5%-15.9%).Modified Poisson regression analysis showed that older age and higher body mass index were common risk factors for advanced CKM across all four ethnic groups.Additionally,except for the Lisu ethnic group,the other three ethnic groups had specific individual risk factors:among the Hani ethnic group,low educational attainment(RR=2.18,95%CI:1.12-4.25)and low income(RR=1.47,95%CI:1.00-2.18)were the primary risk factors of CKM.Among the Dai ethnic group,smoking(RR=1.60,95%CI:1.07-2.37)and a family history of cardiovascular disease(RR=1.61,95%CI:1.14-2.27)are the primary risk factors of CKM.Among the Bai ethnic group,male gender(RR=0.48,95%CI:0.29-0.79)was the primary risk factor of CKM.Conclusions:The prevalence of CKM stage 1 or higher is relatively high among the four minority ethnic groups in Yunnan province.There are significant differences in staging characteristics and primary risk factors across ethnic groups,necessitating the development of stratified,differentiated intervention strategies to achieve precise prevention and control and ethnic health equity in terms of CKM.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To explore the level of positive psychological capital and its trends in traumatic lower limb amputation patients during the 15 months after surgery, and to identify the time period when the patients' level of positive psychological capital is weak, so as to provide a basis for interventions.Methods:This study was a prospective longitudinal study. Convenience sampling was used to select 143 patients with traumatic lower limb amputation admitted to the Department of Emergency Medicine of the First Affiliated Hospital of Zhengzhou University from January 2021 to November 2022 for the study. General information questionnaire, Positive Psychological-Capital Questionnaire (PPQ) were used on the third postoperative day (T1) , on the day of discharge (T2) , 1 month (T3) , 2 months (T4) , 3 months (T5) , 6 months (T6) , 9 months (T7) , 12 months (T8) , and 15 months (T9) after discharge for a total of nine time points to administer the questionnaire to the patients. One-way repeated-measures ANOVA and plotting of results were performed on the nine time-point data using Graph Pad prism 9.5 software and SPSS 21.0 software, and the data were compared two-by-two using the Bonferroni multiple comparison test.Results:There were 143, 139, 132, 129, 122, 120, 119, 118, and 116 patients who participated in the survey from T1 to T9 time points, with a loss to follow-up rate of 18.88% (27/143) . PPQ scores of 116 traumatic lower limb amputation patients at nine time points were (103.25±9.03) , (108.53±9.32) , (104.38±9.60) , (99.71±9.61) , (95.82±9.55) , (91.49±9.41) , (93.34±9.29) , (93.53±9.14) , (93.62±9.05) , and the mean PPQ scores were lower than the theoretical mean (104) at all time points except T2 and T3 time points. One-way repeated-measures ANOVA showed that the difference in the change in the level of positive psychological capital of patients after traumatic lower limb amputation from postoperative day 3 to 15 months after discharge was statistically significant ( F=990.144, P<0.01) . Bonferroni's multiple comparison test showed that there was no statistically significant difference in two-by-two comparisons between T7, T8, and T9 time points with each other ( P>0.05) , and the rest of the two-by-two comparisons were statistically significant ( P<0.05) . Changes in the total PPQ score and the curves of the self-efficacy dimension, resilience dimension, hope dimension, and optimism dimension scores all showed a trend of a brief increase, followed by a continuous decrease, and then a slow increase to a plateau. Conclusions:Traumatic lower limb amputation patients show a wide range of changes in positive psychological capital levels from postoperative day 3 to 15 months after discharge, with a trend of a brief increase at discharge, followed by a steady decline, and then a slow increase to a plateau. Healthcare professionals should pay dynamic attention to the psychological state and psychological strength of patients after traumatic lower limb amputation and provide targeted interventions at different stages after discharge.

Objective:A preliminary trial is conducted to explore whether perioperative(preoperative,intraoperative,and postoperative)electroacupuncture is more effective than postoperative electroacupuncture in improving gastrointestinal function for colorectal cancer patients.Methods and analysis:The study proposes a randomized,parallel-controlled,single-center trial involving 30 colorectal cancer patients aged 18-79 requiring elective surgery.Participants are randomly assigned to two groups,with equal allocation,where one group receives perioperative electroacupuncture,and the other group receives postoperative electroacupuncture.The treatment duration spans from preoperative to postoperative 72 h,with a subsequent 28-day follow-up period.The primary outcome is the time of first postoperative defecation.The secondary outcomes include the recovery time of postoperative bowel sounds,time of the first flatus,dietary recovery,postoperative gastrointestinal dysfunction frequency,quality of life scale,postoperative pain degree,time of the first ambulation,length of hospital stay,gastrointestinal hormone indicators,and adverse events.The coagulation function test,liver and renal function,and stool and blood routine serve as security biomarkers.The statistical analysis includes the t-test,rank-sum test,Chi-square test,and analysis of variance.A two-sided significance level is set at 5%.Discussion:This study aims to evaluate the feasibility and preliminary effectiveness of perioperative electroacupuncture for gastrointestinal function recovery following colorectal cancer surgery.The study's strengths include its randomized design,well-defined intervention periods,and multi-dimensional outcome assessment.Nevertheless,limitations,such as the small sample size and single-center setting,may affect external validity.The findings will guide protocol refinement and sample size estimation for future large-scale multi-center randomized controlled trials.

This study was aimed at understanding the prevalence and drug resistance status of Salmonella of waterfowl ori-gin in the Guangdong region in the past decade,to guide prevention and control efforts.The drug-sensitive paper slide method was used to conduct drug susceptibility testing on 314 waterfowl-originating Salmonella strains isolated from 238 waterfowl farms in the Guangdong region from 2013 to 2023.The isolated Salmonella strains were most resistant to penicillin,amoxicil-lin,cefradine,and cefazolin in the β-lactam group;sulphadoxine dimethylpyrimidine in the sulphonamide group;and tetracy-cline in the tetracycline group.The resistance rates ranged from 73.57％to 89.49％.The highest sensitivity was observed to amikacin,gentamicin,and kanamycin in the aminoglycoside group,and norfloxacin in the quinolone group,with susceptibility rates all exceeding 50％.The 280 strains of Salmonella showed multi-drug resistance to six classes of antimicrobial drugs and high resistance(as much as 60.83％)to five drug classes.Correlation analysis revealed the highest correlations for florfenicol with gentamicin,and for amoxicillin with penicillin(r=0.650 for both),followed by gentamicin with kanamycin(r=0.620).Salmonella resistance in waterfowl in Guangdong Province was generally severe and showed a complex pattern of drug resist-ance.Detection of waterfowl pathogens should be strengthened to prevent the spread of drug-resistant bacteria and support ra-tional use of antibiotics.This work provides a reference for Salmonella prevention and control in waterfowl farms.

In this report, the protective effect and molecular mechanism of Chaihu Shugan San-containing serum on corticosterone(CORT)-induced mitochondrial damage in pheochromocytoma(PC12) cells was studied based on CORT-induced rat PC12 cell model. The cultured cells were divided into five groups: blank control group, CORT group(400 μmol·L~(-1) CORT), Chaihu Shugan San-containing serum group(400 μmol·L~(-1) CORT + 10% Chaihu Shugan San-containing serum), control serum group(400 μmol·L~(-1) CORT + 10% control serum), and fluoxetine group(400 μmol·L~(-1) CORT + 10% fluoxetine-containing serum). The study was carried out by cell activity detection, mitochondrial morphology observation, membrane potential measurement, energy metabolism analysis, and mitochondrial dynamics-related protein detection. The results showed that CORT treatment significantly reduced the survival rate of PC12 cells, altered mitochondrial morphology, and decreased mitochondrial membrane potential and adenosine triphosphate(ATP) synthetic rate. Both Chaihu Shugan San-and fluoxetine-containing serum significantly increased the survival rate of CORT-treated PC12 cells and the ATP synthetic rate in the mitochondria. Unlike fluoxetine, Chaihu Shugan San-containing serum significantly inhibited the decrease in mitochondrial membrane potential caused by CORT and increased the oxygen consumption rate(OCR) values of both mitochondrial maximum respiration and reserve respiration capacity. Western blot analysis showed that CORT induced upregulated protein expressions of dynamin-related protein 1(Drp1) and peroxisome proliferator-activated receptor gamma co-activator 1α(PGC-1α) in PC12 cells and specific protein expression of optic atrophy protein 1(OPA1), yet it repressed the protein expressions of silent information regulator 1(SIRT1) and mitochondrial fusion protein 1(Mfn1) in PC12 cells. Both Chaihu Shugan San-and fluoxetine-containing serum significantly inhibited the protein expression of Drp1. However, only Chaihu Shugan San-containing serum could significantly inhibit the CORT-induced upregulation protein of PGC-1α. RESULTS:: herein suggest that Chaihu Shugan San-containing serum can alleviate CORT-induced damage in PC12 cells, which may be related to the mitochondrial fragmentation/lipid peroxidation protection by Drp1 inhibition, as well as mitochondrial dynamics and energy metabolism mediated by PGC-1α/SIRT1 signaling pathway.
Animals ; PC12 Cells ; Rats ; Mitochondrial Dynamics/drug effects* ; Mitochondria/metabolism* ; Corticosterone/adverse effects* ; Membrane Potential, Mitochondrial/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Protective Agents/pharmacology* ; Cell Survival/drug effects*