Background As a traditional labor-intensive industry, the wooden furniture manufacturing sector has been facing significant occupational health hazards, notably noise exposure. Objective To understand the current status of occupational health management and workplace noise monitoring in the wooden furniture manufacturing industry in Foshan City of Guangzhou Province over the past five years (2020−2024), to clarify the exposure level of occupational noise hazards in this industry, the implementation of prevention and control measures, and their dynamic changing trends, and to provid a reference basis for formulating and optimizing targeted occupational health supervision strategies. Methods By judgment sampling method, 381 wooden furniture manufacturing enterprises in Foshan City from 2020 to 2024 were selected. Through document review, on-site investigation, and on-site testing, the basic information of the enterprise, key indicators of occupational health management (declaration of projects with occupational disease hazards, occupational health training, the setting and effect of occupational disease prevention facilities, the allocation and use of personal protective equipment, occupational health examinations, etc.) and monitoring data of noise intensity in the workplace were systematically collected. Descriptive statistical analysis was adopted to present the characteristics of enterprises and various indicators, and trend tests were used for dynamic changes of occupational health management indicators and noise intensity monitoring results between each year. Results Among the 381 enterprises, small and micro enterprises accounted for 94.0% (358/381), the overall occupational hazard exposure rate of workers was 56.7% (15199/26798), and the noise exposure rate was 45.6% (12221/26798). The report rate of projects with occupational disease hazards was 100%, the occupational health training rate of exposed workers was 69.6%, the setting rate and effectiveness rate of noise prevention facilities were 24.9% and 95.8% respectively, the distribution rate and effective wearing rate of noise protection earplugs/earmuffs were 77.6% and 87.1% respectively, and the rate of occupational health examinations for noise-exposed workers and the abnormal rate were 55.4% and 2.5% respectively. The trend analysis results showed that the rates of occupational health training, setting and effectiveness of noise prevention facilities, distribution and effective wearing of noise protection earplugs/earmuffs, occupational health examinations for noise-exposed workers, and abnormal health examination results all showed an overall upward trend (P values were all<0.05). The proportion of workplace noise intensity greater than 85 dB(A) and the rate of noise exceeding standards at work positions both showed an overall upward trend (P values were both<0.01). Conclusion During the period from 2020 to 2024, the occupational health management in the wooden furniture manufacturing industry in Foshan City has achieved certain positive progress, particularly in areas such as the installation of protective facilities, the use of personal protective equipment, and the implementation of occupational health examinations. However, workplace noise hazards have not been effectively controlled. Moving forward, regulatory efforts must consolidate existing management achievements while strengthening mandatory requirements and support for the technical transformation of high-noise processes and the widespread adoption of noise reduction facilities. This approach is essential to fundamentally curb occupational noise hazards.

Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective To analyze the emergency testing results of a mixed poisoning incident involving methyl acetate and dimethyl carbonate in a composite fabric processing enterprise. Methods A mixed poisoning incident involving methyl acetate and dimethyl carbonate occurred at a composite fabric processing enterprise in a city of Guangdong Province. On-site occupational health investigation data and laboratory testing results related to this incident were collected, and an integrated analysis was conducted. Results The on-site occupational health investigation revealed inadequate ventilation and non-standard use of personal protective equipment. Volatile organic component analysis of raw and auxiliary materials showed that methyl acetate and dimethyl carbonate had relatively high percentages of peak area among all used volatile organic chemical agents in post-incident emergency testing, accounting for 65.10% and 38.25%, respectively. The exposure concentration of short term (C_STE) of methyl acetate in the production line air was 15.13 mg/m³. In the chemical storage area, C_STE of methyl acetate and methanol were 451.04 and <0.21 mg/m³, respectively, all below their respective occupational exposure limits (500.00 and 50.00 mg/m³). In the poisoned workers, blood methanol, blood formic acid, and urinary formic acid levels were 147, 414, and 4 389 mg/L, respectively. Conclusion Occupational exposure to methyl acetate and dimethyl carbonate may lead to acute occupational poisoning and cause health damage. Employers should fulfill their responsibilities for occupational disease prevention by ensuring proper operation of protective facilities, while workers should enhance awareness of occupational disease prevention and correctly use personal protective equipment.

Autism Spectrum Disorder （ASD） is a neurodevelopmental disorder with rapidly increasing global prevalence， characterized by core symptoms of social communication deficits and stereotyped repetitive behaviors. Although genetic predisposition， abnormal epigenetic regulation， perinatal environmental exposure， and nutritional-metabolic imbalances are recognized as major risk factors， the precise etiological mechanisms remain incompletely understood. Current clinical management primarily relies on behavioral interventions， with limited pharmacological options accompanied by adverse effects. Recent studies have demonstrated the unique therapeutic value of active components from Chinese herbal medicine in ASD intervention. This article reviews the mechanisms underlying various Chinese herbal active components in ASD treatment， including improvements in synaptic dysfunction， blood-brain barrier impairment， neurotransmitter regulation， cerebellar dysfunction， immune dysregulation and neuroinflammation， oxidative stress， programmed neuronal cell death， and lipid metabolism. These bioactive components exhibit multi-target and multi-pathway regulatory effects， providing novel therapeutic strategies and directions for ASD.

A 71-year-old male presented with esophageal cancer and severe aortic valve regurgitation. Treatment strategies for such patients are controversial. Considering the risks of cardiopulmonary bypass and potential esophageal cancer metastasis, we successfully performed transcatheter aortic valve implantation and minimally invasive three-incision thoracolaparoscopy combined with radical resection of esophageal cancer (McKeown) simultaneously in the elderly patient who did not require neoadjuvant treatment. This dual minimally invasive procedure took 6 hours and the patient recovered smoothly without any surgical complications.

Objective To describe the significance of the pretreatment inflammatory indicators in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC) after undergoing radical radiotherapy. Methods The data of 246 ESCC patients who underwent radical radiotherapy were retrospectively collected. Receiver operating characteristic (ROC) curves were drawn to determine the optimal cutoff values for platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII). The Kaplan-Meier method was used for survival analysis. We conducted univariate and multivariate analyses by using the Cox proportional risk regression model. Software R (version 4.2.0) was used to create the nomogram of prognostic factors. Results The results of the ROC curve analysis showed that the optimal cutoff values of PLR, NLR, and SII were 146.06, 2.67, and 493.97, respectively. The overall response rates were 77.6% and 64.5% in the low and high NLR groups, respectively (P<0.05). The results of the Kaplan-Meier survival analysis revealed that the prognosis of patients in the low PLR, NLR, and SII group was better than that of patients in the high PLR, NLR, and SII group (all P<0.05). The results of the multivariate Cox regression analysis showed that gender, treatment modalities, T stage, and NLR were independent factors affecting the overall survival (OS). In addition, T stage and NLR were independent factors affecting the progression-free survival (PFS) (all P<0.05). The nomogram models of OS and PFS prediction were established based on multivariate analysis. The C-index values were 0.703 and 0.668. The calibration curves showed excellent consistency between the predicted and observed OS and PFS. Conclusion The pretreatment values of PLR, NLR, and SII are correlated with the prognosis of patients with ESCC who underwent radical radiotherapy. Moreover, NLR is an independent factor affecting the OS and PFS of ESCC patients. The NLR-based nomogram model has a good predictive ability.

OBJECTIVE To establish a comprehensive evaluation system for lipid-lowering drugs aligned with the clinical reality of Liaoning province， and to assess the commonly used lipid-lowering drugs in medical institutions within Liaoning province. METHODS A comprehensive evaluation system for lipid-lowering drugs of Liaoning province was established using literature analysis and the Delphi expert consultation method. A calculation method of “indicator weighted score” to “step-by-step aggregation” to “percentile standardization” was employed to enable horizontal comparison of 49 commonly used lipid-lowering drugs. RESULTS This study successfully established a comprehensive clinical evaluation system for lipid-lowering drugs of Liaoning province， comprising 7 first-level indicators， 35 second-level indicators， and 116 scoring criteria. Among the first-level indicators， effectiveness （23%） had the highest weight， followed sequentially by safety （22%）， innovativeness （15%）， economy （13%）， suitability （13%）， accessibility （10%）， and other attributes （4%）. Among the 49 evaluated lipid-lowering drugs， the top 10 in overall score were all statins， with rosuvastatin calcium tablet B having the highest total score of 79.22. Inclisiran sodium injection had a total score of 57.14， performed outstandingly in safety （16.27） and innovativeness （11.27）. CONCLUSIONS This study established a relatively comprehensive and detailed clinical evaluation system for lipid-lowering drugs of Liaoning province. Statins remain the cornerstone of lipid management. Most patients can primarily choose drugs like rosuvastatin tablet B， while PCSK9 inhibitors and fixed-dose combinations can be considered for patients with conventional treatment failure or statin intolerance.

Objective To screen for key genes and important pathways common for different etiologies of acute kidney injury(AKI)by pathway-associated deep neural network and multiple machine learning algorithms.Methods AKI microarray datasets GSE30718,GSE37838,GSE53769,GSE108113,GSE125779,GSE99325,and GSE174020 downloaded from the Gene Expression Omnibus(GEO)database were merged,including 60 kidney samples from AKI patients and 79 kidney samples from healthy controls.They were divided(8∶2)into training sets and test sets,and were used to train and evaluate pathway-associated deep neural network and 4 machine learning algorithms,including least absolute shrinkage and selection operator(LASSO),random forest(RF),support vector machine-recursive feature elimination(SVM-RFE),and extreme gradient boosting(XgBoost),to screen for common key genes and pathways of different etiologies of AKI.The downloaded datasets GSE99340 and GSE1563 were merged,including 43 kidney samples from AKI patients and 36 kidney samples from healthy controls,which were used as external validation sets for LASSO model and nomogram performance test based on the final screened genes.The pathway-associated deep neural network and machine learning algorithms were evaluated using receiver operating characteristic curves,precision,recall,accuracy,and F1-score.The immune cell infiltration characteristics were explored in AKI via cell-type identification by estimating relative subsets of RNA transcripts(CIBERSORT),and Pearson correlation coefficients were used to evaluate the correlation between the final screened common key genes and immune cell infiltration levels.Results The pathway-associated deep neural network trained by 5-fold cross validation produced an area under curve(AUC)of 0.914 5±0.007 0,a precision of 0.750 0±0.044 0,a recall of 0.923 1±0.048 0,an accuracy of 0.838 7±0.016 0,and an F1-score of 0.827 6±0.020 0 in the test set,yielding a robust and highly accurate classification performance for AKI,and identified key pathways and a subset of candidate genes.The 4 machine learning algorithms all achieved high discriminative performance for AKI in the test set with AUC≥0.860,precision≥0.750,recall≥0.800,and F1-score≥0.774,and screened 7 common key genes for AKI with different etiologies,including CD86,C-X-C motif chemokine ligand 10(CXCL10),dynamin 2(DNM2),proto-oncogene FOS,transcription factor 12(TCF12),VGF nerve growth factor inducible(VGF),and A kinase anchoring protein 5(AKAP5).Based on the final screened common key genes,the LASSO model had an AUC of 0.940 4 for the test set and an AUC of 0.944 4 for the external validation,and the model showed a very high discriminatory ability for the AKI,which demonstrated the overall regulatory performance of the genes.The nomogram constructed based on the screened 7 genes demonstrated the highest classification performance with an AUC of 0.928 9,validating the outstanding contribution and overall action performance of the screened individual genes.Immune cell infiltration analysis showed that there were significant differences in B cells na?ve,mast cells activated,monocytes,macrophages M1,B cells memory,and dendritic cells activated between AKI samples and healthy control samples(all P＜0.05).Macrophages M1 and monocytes were positively correlated with CD86 and CXCL10,mast cells activated were positively correlated with FOS,and B cells na?ve were negatively correlated with CD86 and CXCL10(all P＜0.01).Mast cells activated were positively correlated with VGF and negatively correlated with CD86 and TCF12,while memory B cells were positively correlated with CD86(all P＜0.05).Conclusion Strategy combining pathway-associated deep neural network and multiple machine learning classifiers can mine high-value key genes from high-dimensional,complex and heterogeneous transcriptomic data as potential targets for therapeutic interventions in AKI.

Plutonium isotopes(238Pu,239Pu,240Pu and 241Pu)in the environment are important"fingerprint"nuclides in the study of nuclear activity traceability.The content of plutonium isotopes in the environmental metrics is usually very low,and the measurement of these isotopes,especially 238Pu,using mass spectrometry is seriously interfered with by the coexisting 238U.The analysis of several plutonium isotopes in soil usually requires combination of multiple measurement techniques,which leads to a long analysis time and large uncertainty in the isotope ratio.In this work,the hydrous titanium oxide(HTiO)precipitated by the hydrolysis of titanium oxydichloride(TiOCl2)under near-neutral condition was used to preconcentrate plutonium from the soil digestion solution,and the highly efficient decontamination of 238U in the sample was achieved by TK200 resin column chromatography with a decontamination factor of 108.Simulation resuts of density functional theory(DFT)showed that NH3 was considered as a promising reaction gas to eliminate the interference of 238U from 238Pu measurement using mass spectrometry due to the significant discrepancy of the chemical reactivity of U+and Pu+with the reactive gas NH3.Experiments confirmed that by optimizing the flow rates of collision gas(He)and reaction gas(NH3),the interference of 238U could be effectively suppressed,and the decontamination factor of 238U was 104.Combined with chemical separation,the overall decontamination factor of 238U could reach 1012 by using the developed method.By combining chemical separation and tandem quadrupole inductively coupled plasmon-mass spectrometry(ICP-MS/MS)measurement,the simultaneous determination of four ultra-trace plutonium isotopes in soil was realized,and the detection limit of plutonium isotopes was at the femtogram level.Analysis of the international standard reference materials(NIST-SRM-4357 and IAEA-384)showed that the established method could be successfully used for the accurate analysis of ultra-trace four plutonium isotopes(238Pu,239Pu,240Pu and 241Pu)in soil samples.