Background Fatigue among distribution network live-line workers in complex operational environments has become increasingly severe and requires widespread attention. Objective To investigate the positive rates of fatigue and associated influencing factors of live-line power distribution workers, and to make a reasonable strategy to reduce the fatigue of front-line workers. Methods Power supply companies in Guangdong, Guangxi, and Yunnan provinces were selected by cluster sampling in 2023, and all front-line live-line workers in the selected companies were recruited. The questionnaire used in this study consisted of two parts: one was the Fatigue Scale-14 (FS-14) for investigating fatigue status and the other was for associated influencing factors. A FS-14 score greater than 3 points was defined as fatigue. \begin{document}$ {\chi }^{2} $\end{document} test and logistic regression were employed to analyze the factors affecting fatigue. Results A total of 1341 questionnaires were distributed, and 1217 valid questionnaires were recovered, with a valid response rate of 90.75%. The average fatigue score of the participants was (6.84±3.79) points, and a total of 1054 participants scored over 3, resulting a fatigue positive rate of 86.6%. The logistic regression model showed that working under extreme weather (OR=2.03, 95%CI: 1.38, 2.98), overtime 2-3 times a week (OR=5.24, 95%CI: 1.28, 21.40), overtime everyday (OR=6.95, 95%CI: 1.71, 28.27), frequent wrist rotation (OR=1.95, 95%CI: 1.08, 3.51), and leaning back slightly (OR=2.94, 95%CI: 1.19, 7.28) associated with higher positive rates of fatigue. Conclusion The high positive rate of fatigue among live-line power distribution workers suggests severe fatigue issues. Extreme weather conditions, working overtime frequency, and maintaining wrist rotation and backward bending postures during work are main factors affecting their fatigue.

Objective To construct a lung cancer surgery-oriented disease-specific database covering the entire perioperative care pathway, thereby improving the quality and usability of key surgical data elements. Methods Real-world clinical data were extracted from a single-center thoracic surgery department. A standardized data model was established based on the open electronic health record (openEHR) standard. Large language model (LLM), optical character recognition (OCR), and artificial intelligence (AI)-driven techniques were employed to extract, structure, and perform quality control on unstructured clinical narratives, imaging reports, and radiological data, with a focus on capturing surgically relevant perioperative indicator. Results A multimodal database comprising 19 917 patients was established, including 7 930 males and 11 987 females, with ages ranging from 15 to 97 (61.7±9.7) years. The database includes 582 structured data variables, textual report data corresponding to 69 clinical indicators, 13 000 pulmonary function test PDF reports, and chest CT imaging data from 16 884 patients. This database comprehensively covers major information relevant to surgical diagnosis and treatment of lung cancer, significantly improving the completeness and granularity of surgical detail data. Large language models (LLMs) and optical character recognition (OCR) technologies enhanced the efficiency of converting unstructured data into structured formats, while a multi-level manual verification process ensured data accuracy and traceability. The database supports real-world research including comparisons of surgical procedures, prediction of postoperative complications, prognosis assessment, and multimodal data association analyses.

Acute pancreatitis （AP） often has an acute onset， and although most cases are self-limiting， there is still a risk of rapid deterioration， posing a serious threat to the lives of patients. Currently， traditional assessment tools such as clinical scoring systems and serum biomarkers are widely used to determine disease severity and prognosis. To enhance the accuracy of assessment， combined detection strategies integrating different scores and biomarkers are often used in clinical practice； however， there are still certain limitations such as insufficient specificity， limited early sensitivity， and a lack of consistent cut-off values. Therefore， current studies are actively exploring novel biomarkers with superior specificity and sensitivity and continuously optimizing their combined application strategies. This article summarizes the current application status of traditional assessment tools and reviews the research advances in novel biomarkers.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Objective To develop a composite nutritional preparation that can effectively improve exercise performance under calorie restriction(CR)condition.Methods A total of 24 male C57BL/6J mice(weighing 23～26 g,8 weeks old)were randomly divided into control group(CON),CR,CR+basal nutrient group(CRN1),and CR+compound nutrient group(CRN2).All groups underwent moderate-intensity running training 5 d per week,for totally 3 weeks.The grip strength of the forelimbs were measured weekly,and in 3 weeks after training,exhaustion and post-exhaustion distance tests were conducted to evaluate exercise performance.Blood biochemical indicators,levels of skeletal muscle and liver redox biomarkers,and histopathological conditions were measured and observed.Results After 21 d of intervention,the CR group and CRN1 group had the post-exhaustion running distance prolonged by 278%and 289%,respectively,reduced blood glucose level,and decreased muscle mass,subcutaneous fat and epididymal fat mass when compared with the CON group(P<0.05).Compared with the CON group,the CRN1 and CRN2 groups demonstrated significantly higher gastrocnemius glycogen content.The CRN2 group obtained even longer post-exhaustion distance(increased by 52%and 36%respectively,compared with the CON group and CRN1 group,P<0.05),enhanced grip strength of the forelimbs(raised by 9%,17%and 15%,respectively than the CON,CR and CRN1 groups,P<0.05),elevated brown fat mass(compared to the CON group and CRN1 group,P<0.05),increased blood glucose level(compared to the CRN1 group,P<0.05),decreased blood low-density lipoprotein cholesterol level(compared to the CON and CR groups,P<0.05),and increased glutathione peroxidase content in the gastrocnemius muscle(compared to the CON group,P<0.05).Conclusion Supplementing with compound nutritional supplements in mice under CR can promote exercise performance,including improving fatigue recovery after exhaustive exercise and enhancing forelimb grip strength.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

To analyze the clinical data of patients with recurrent Clostridioides difficile infection(rCDI)in the southwestern region,and help clinicians identify high-risk populations early and adopt appropriate treatment strate-gies.Methods Clinical data of rCDI cases from a tertiary first-class hospital in southwest China from July 2019 to June 2024 were collected,and their host-related risk factors,exogenous risk factors,treatment schemes,and end-point outcomes were analyzed.Results In the past five years,a total of 26 cases of rCDI were detected from a ter-tiary first-class hospital in southwest China,accounting for 4.04％of the total positive cases(n=643)detected during the same period.19.23％of the recurrent patients experienced a second recurrence.The median age of rCDI patients was 66.5 years old,with males accounting for 73.08％.The major comorbidity included diabetes mellitus(34.62％),malignant tumors(30.77％),and chronic renal diseases(23.08％).In the 8 weeks before the first on-set of rCDI in patients,the top three drugs used were β-lactam and enzyme inhibitor compound(69.23％),proton pump inhibitors(65.38％),and carbapenems(46.15％).In the initial treatment of recurrent patients,3.85％(1/26)of the cases were treated with metronidazole,19.23％(5/26)of the cases received non-standard vancomy-cin/norvancomycin treatment in usage or dosage,46.15％(12/26)of the cases received treatment with course less than 10 days.In the treatment of the first recurrence,34.78％(8/26)of the cases received treatment with course less than 10 days.Conclusion For elderly patients and patients with diabetes mellitus,malignant tumors,and chronic renal diseases,who have used β-lactam and enzyme inhibitor compound,proton pump inhibitors,carbapene-ms within 8 weeks before disease onset,standard dose and treatment course of vancomycin or norvancomycin are recommended under permitted conditions,so as to reduce the risk of recurrence.

This study examines the effects of zearalenone(ZEA)on the survival and function of lu-teinized granulosa cells,and studies the role of activating transcription factor 6(ATF6)in regula-ting apoptosis and functional abnormalities of luteinized granulosa cells induced by ZEA.An in vitro model of luteinized granulosa cells was utilized to examine the effects of ZEA treatment on apoptosis,hormone secretion,and the expression of relevant proteins.Furthermore,the expression of ATF6 was manipulated using siRNA to elucidate its regulatory function in the ZEA-induced damage of luteinized granulosa cells in mice.Our findings revealed that ZEA inhibited the activity of luteinized granulosa cells and reduced the secretion of estradiol(E2)and progesterone(P4)in a dose-dependent manner.The expression levels of p-IRE1,ATF6 and StAR in both low(20 pmol/L)and high(40 μmol/L)ZEA groups were significantly increased after 24 h(P＜0.05).GRP78 had no significant change at low concentration treatment(P＞0.05),but significantly increased at high concentration treatment(P＜0.05).Similarly,ATF4 and p-EIF2α had no significant change at low concentration treatment(P＞0.05),but significantly decreased at high concentration treat-ment(P＜0.05).HSD3B2 and CYP19A1 were significantly decreased in both low and high concentration treatments(P＜0.05).After 48 h of treatment,ATF6 and GRP78 were significantly increased in both low and high concentration treatments(P＜0.05).p-IRE1 was significantly de-creased at low concentration treatment(P＜0.05),but remained unchanged at high concentration treatment(P＞0.05).ATF4,p-EIF2α,HSD3B2 and CYP19A1 were significantly decreased in both low and high concentration treatments(P＜0.05).St AR was significantly increased in both low and high concentration treatments(P＜0.05).Interference with the expression of ATF6 could sig-nificantly reduce the apoptosis induced by low concentration group(P＜0.05),and enhanced the hormone secretion in both high and low concentration groups(P＜0.05).In conclusion,ZEA can cause damage to luteinized granulosa cells and activate ATF6 signaling pathway.Interference with ATF6 can alleviate apoptosis and hormone secretion disturbance induced by low concentration ZEA,but has limited effect on damage caused by high concentration ZEA.

This study was aimed at determining the genetic characteristics of Yersinia pestis in Subei County through differ-ential region(DFR),clustered regularly interspaced short palindromic repeats(CRISPR),and variable number tandem repeat(VNTR)analyses,to guide the tracing of plague outbreaks.The DNA of 89 Yersinia pestis strains isolated from various ani-mal in foci of Subei County from 1973 to 2017 was extracted.Primers for genotyping by DFR,CRISPR,and MLVA were used in PCR,and agarose electrophoresis was used to determine whether the amplified products were present.Genotypes were deter-mined through comparison against the DFR database of Yersinia pestis in China.The PCR products were sequenced and com-pared against the online CRISPR database for Yersinia pestis to determine the genotype.The number of VNTR repeats in each strain was calculated through capillary electrophoresis,and the minimum spanning tree was constructed with BioNumerics 7.6 according to the numbers of VNTR repeats from 89 Yersinia pestis strains in Subei County and 11 strains from a Marmota hi-malayana focus in Qinghai Province.The Yersinia pestis strains in Subei County were divided into six main genotypes by DFR:8,7,lb,5,32,and 44.The Yersinia pestis strains were divided into three gene clusters and three genotypes by CRISPR.Ca35'was the main gene cluster in Subei County;the genotype was 26';and the distribution was primarily in Dangchengwan Town,Yuerhong Township,and Shibaocheng Township.Ca7 and CaΔ5'comprised secondary gene clusters,with genotypes 22 and 24,and were distributed in Dangchengwan Town,Yuerhong Township,and Shibaocheng Township.The Yersinia pes-tis strains in Subei County were divided primarily into three clusters:the Dangchengwan Machang cluster,Yuerhong Township cluster and Dangchengwan Town cluster.Therefore,the Yersinia pestis strains in Subei County,divided into major and minor genotypes according to DFR,CRISPR and MLVA,showed different regional distribution characteristics,highly diverse geno-types,and complex population characteristics.These aspects are particularly important in tracing the sources of plague out-breaks.

This study was aimed at investigating the effects of demethylase fat mass and obesity-associated protein(FTO)and methyltransferase methyltransferase like protein 3(METTL3),key molecules in N6-methyladenosine(m6A)modification,on the replication and proliferation of Japanese encephalitis virus(JEV).Recombinant lentiviruses were generated by packaging the FTO and green fluorescent protein into lentiviral vectors.Neuro2a cells,a mouse neuroblastoma cell line,were infected with the lentivirus,and stable FTO-expressing cell lines were obtained through puromycin selection.Successful overexpression of FTO was confirmed through fluorescence microscopy,real-time quantitative PCR,and western blot analysis.When Neuro2a cells overexpressing FTO were infected with JEV,the overexpression of FTO decreased JEV replication in the cells,and increased the expression of interferon(IFN)and related molecules.Additionally,treatment of JEV-infected Neuro2a cells with the METTL3-specific inhibitor STM2457 resulted in a dose-dependent decrease in JEV replication and viral protein expression.These findings suggested that lowering m6A methylation levels inhibits JEV replication,thus shedding light on the regulatory role of methylation modification in JEV replication.