ObjectiveTo investigate the noise level and influencing factors in metro platforms and station halls， thereby providing the scientific basis for the establishment of hygienic standards. MethodsDuring the morning peak（7：00‒9：30）and off-peak （9：30‒17：00） on weekdays， the noise levels were measured with noise meters at 39 monitoring points of 13 station platforms and 31 monitoring points of 6 station halls. The monitoring points arrangement and detection methods referred to the Examination methods for public places—Part 1： physical parameters（GB/T 18204.1‒2013）. ResultsThe measured noise level in the station ranged from 69.25 to 86.17 dB（A）， accounting for 44.74% below 75 dB（A）， 89.47% below 80 dB（A） and 97.37% below 85 dB（A）.The noise level of the platform ［（76.38±4.19） dB（A）］ was higher than that of the station hall ［（74.24±4.50） dB（A）］（P<0.01）. The noise level of the elevated platforms ［（80.01±2.25） dB（A）］ was higher than that of the underground platforms ［（75.73±4.13） dB（A）］（P<0.01）， and the noise level of the platforms without platform screen doors（PSD） ［（80.21±5.08） dB（A）］ was higher than that of platforms with PSD［（74.73±3.16） dB（A）］ （P<0.01）. No statistical significant differences were observed among the different areas of the platforms， monitoring periods， platform depth， exit mode and operation years （P>0.05）. ConclusionThe noise level in metro stations in the city does not fully meet the requirements of current relevant standards. It is suggested to take noise reduction measures to reduce the noise of metro stations.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

Objective:To investigate the effects of low-frequency and high frequency repetitive transcranial magnetic stimulation (rTMS) combined with levodopa and benserazide hydrochloride on mild cognitive impairment in patients with Parkinson disease (PD).Methods:Totally 90 PD patients with mild cognitive impairment who visited from January 2020 to June 2022 were included , and they were divided into a simple drug group ( n=30), drug+ low-frequency group ( n=30), and drug+ high-frequency group ( n=30) according to the order of admission.The patients in the simple drug group were treated with oral levodopa and benserazide hydrochloride, while the patients in drug+ low-frequency and drug+ high-frequency groups were treated with low-frequency or high-frequency rTMS on the basis of oral levodopa and benserazide hydrochloride.Montreal cognitive assessment(MoCA), digital span (DS), Chinese auditory learning test (CALT), the judgment of line orientation test (JLOT) and verbal fluency test (VFT) were used to evaluate the cognitive function of patients before and after 4 weeks of treatment.SPSS 26.0 was used for statistical analysis.The paired t-test was used for intra-group comparison before and after treatment, while one-way ANOVA was used for inter-group comparison. Results:There were no significant differences in MoCA, DS anterograde, DS backward, CALT immediate recall, CALT delayed recall, JLOT, and VFT scores among patients in the simple drug group before and after 4 weeks of treatment( t=-1.157, -0.648, -0.215, -0.290, -0.154, -0.782, -0.960, all P>0.05). After 4 weeks of treatment, MoCA, DS anterograde, DS backward, CALT immediate recall, CALT delayed recall, JLOT and VFT scores in drug+ low-frequency group and drug+ high-frequency group were higher than before treatment (drug+ low frequency group: t=-16.357, -11.379, -7.999, -11.805, -16.624, -15.996, -17.241, all P<0.05; drug+ high-frequency group: t=-25.198, -13.971, -13.904, -25.831, -26.382, -20.108, -15.643, all P<0.05). There were no statistically significant differences in the scores of MoCA, DS anterograde, DS backward, CALT immediate recall, CALT delayed recall, JLOT and VFT among the three groups before treatment (all P>0.05). After treatment, there were statistically significant differences in the scores of MoCA, DS anterograde, DS backward, CALT immediate recall, CALT delayed recall, JLOT and VFT among the three groups (simple drug group : (20.37±1.96), (4.37±1.19), (2.80±0.55), (6.93±1.70), (5.17±1.09), (15.50±2.69), (10.73±1.55); drug+ low-frequency group: (23.83±2.32), (5.87±0.94), (3.87±0.73), (9.17±1.74), (8.13±1.50), (20.77±2.19), (13.30±1.73); drug+ high-frequency group: (27.17±1.64), (6.73±1.01), (4.80±0.81), (11.20±2.06), (10.03±1.54), (25.17±3.14), (15.87±2.05)) (all P<0.05). Further analysis showed that both the drug+ low-frequency and drug+ high-frequency groups had higher scores than the simple drug group, and the drug+ high-frequency group had higher scores than the drug+ low-frequency group(all P<0.05). Conclusion:The combination of drug+ low-frequency or drug+ high-frequency rTMS and drug therapy can help improve cognitive function in patients with PD, and the efficacy of drug+ high-frequency rTMS may be more significant, which provides a new therapeutic idea for clinical treatment of patients with PD.

ObjectiveTo establish a UHPLC-MS/MS quantitative method for the determination of glucuronic acid， tartaric acid， glycolic acid， malic acid， lactic acid， citric acid， DL-2-hydroxybutyric acid sodium， mandelic acid， benzilic acid， hydroxycaprylic acid， lactobionic acid， gluconic acid and N-acetylneuraminic acid in cosmetics. MethodsSamples were prepared by ultrasonic extraction， cleansed by precipitating reagent and followed by high-speed centrifugation of the extraction solution. The supernatant was filtered by 0.22 μm Millipore filter. The continued filtrate was taken for analysis. A reversed phase column， Poroshell 120 EC-C₁₈ （2.7 μm， 4.6 mm×1 000 mm） was used with 0.1% formic acid buffer and acetonitrile as the mobile phase under the condition of gradient elution. The analytes were detected with electrospray ionization source in negative ion mode （ESI^-） and multiple reactions monitoring （MRM）， and quantified by external standard curve. ResultsThe method showed a good linearity of glucuronic acid， tartaric acid， malic acid， DL-2-hydroxybutyric acid sodium， benzilic acid， hydroxycaprylic acid and N-acetylneuraminic acid within the concentration range of 50.0‒2 000.0 μg·L^-1 （r>0.995）. The method showed a good linearity of glycolic acid， lactic acid， citric acid and mandelic acid within the concentration range of 100.0‒5 000.0 μg·L^-1 （r>0.995）. The method showed a good linearity of lactobionic acid and gluconic acid within the concentration range of 50.0‒5 000.0 μg·L^-1 （r>0.995）. The recoveries were in the range of 92.3%‒114.1%； the relative standard deviations （RSD） were in the range of 0.9%‒6.0% （n=3）. The detection limits of glucuronic acid， tartaric acid， malic acid， citric acid， DL-2-hydroxybutyric acid sodium， mandelic acid， benzilic acid， hydroxycaprylic acid， lactobionic acid， gluconic acid and N-acetylneuraminic acid were 0.003% while the detection limits of glycolic acid， lactic acid and mandelic acid were 0.006%. In 10 batches of commercially available cosmetics， eight batches showed positive result. ConclusionThe UHPLC-MS/MS method is efficient， sensitive and accurate and is applicable to the determination of 13 α-hydroxy acidic components in cosmetics.

During the progression of heart failure(HF),abnormal transduction of the transforming growth factor-β(TGF-β)/Smads signaling pathway is important mechanism of myocardial fibrosis(MF)in HF.TGF-β,a key factor in MF,is in an overexpression state in the process of MF in HF,and Smads is a major effector downstream of TGF-β.The TGF-β/Smads pathway induces abnormal proliferation of myofibroblasts,aggravates myocardial extracellular matrix deposition,and reduces the ability of the cardiac tissues to resist fibrosis,which plays a complex role in the pathogenesis of MF in HF.Traditional Chinese medicine(TCM)has the efficacy of unequivocal inhibiting myocardial collagen deposition,anti-MF,protecting the myocardium and improving cardiac function in the prevention and treatment of MF in HF and so on,and the TGF-β/Smads pathway is one of the key pathways through which TCM monomers,TCM combinations,and proprietary medicines can exert their cardioprotective effects on the HF.This paper reviews the existing experimental research results of TCM intervening in the TGF-β/Smads pathway for the treatment of MF in HF over the past 10 years,with a view to providing theoretical basis for the prevention and treatment of HF MF well as the development and of new drugs.

Objective:To investigate the surgical situations and perioperative outcome of pancreaticoduodenectomy in Jiangsu Province and the influencing factors for postoperative 90-day mortality.Methods:The retrospective case-control study was conducted. The clinicopathological data of 2 886 patients who underwent pancreaticoduodenectomy in 21 large tertiary hospitals of Jiangsu Quality Control Center for Pancreatic Diseases, including The First Affiliated Hospital of Nanjing Medical University, from March 2021 to December 2022 were collected. There were 1 732 males and 1 154 females, aged 65(57,71)years. Under the framework of the Jiangsu Provincial Pancreatic Disease Quality Control Project, the Jiangsu Quality Control Center for Pancreatic Diseases adopted a multi-center registration research method to establish a provincial electronic database for pancrea-ticoduodenectomy. Observation indicators: (1) clinical characteristics; (2) intraoperative and post-operative conditions; (3) influencing factors for 90-day mortality after pancreaticoduodenectomy. Measurement data with skewed distribution were represented as M( Q1, Q3) or M(IQR), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers or constituent ratio, and comparison between groups was conducted using the chi-square test, continuity correction chi-square test and Fisher exact probability. Maximal Youden index method was used to determine the cutoff value of continuous variables. Univariate analysis was performed using the corresponding statistical methods based on data types. Multivariate analysis was performed using the Logistic multiple regression model. Results:(1) Clinical characteristics. Of the 2 886 patients who underwent pancreaticoduodenectomy, there were 1 175 and 1 711 cases in 2021 and 2022, respectively. Of the 21 hospitals, 8 hospitals had an average annual surgical volume of <36 cases for pancreaticoduodenectomy, 10 hospitals had an average annual surgical volume of 36-119 cases, and 3 hospitals had an average annual surgical volume of ≥120 cases. There were 2 584 cases performed pancreaticoduodenectomy in thirteen hospitals with an average annual surgical volume of ≥36 cases, accounting for 89.536%(2 584/2 886)of the total cases. There were 1 357 cases performed pancrea-ticoduodenectomy in three hospitals with an average annual surgical volume of ≥120 cases, accounting for 47.020%(1 357/2 886) of the total cases. (2) Intraoperative and postoperative conditions. Of the 2 886 patients, the surgical approach was open surgery in 2 397 cases, minimally invasive surgery in 488 cases, and it is unknown in 1 case. The pylorus was preserved in 871 cases, not preserved in 1 952 cases, and it is unknown in 63 cases. Combined organ resection was performed in 305 cases (including vascular resection in 209 cases), not combined organ resection in 2 579 cases, and it is unknown in 2 cases. The operation time of 2 885 patients was 290(115)minutes, the volume of intra-operative blood loss of 2 882 patients was 240(250)mL, and the intraoperative blood transfusion rate of 2 880 patients was 27.153%(782/2 880). Of the 2 886 patients, the invasive treatment rate was 11.342%(327/2 883), the unplanned Intensive Care Unit (ICU) treatment rate was 3.087%(89/2 883), the reoperation rate was 1.590%(45/2 830), the duration of postoperative hospital stay was 17(11)days, the hospitalization mortality rate was 0.798%(23/2 882), and the failure rate of rescue data in 2 083 cases with severe complications was 6.529%(19/291). There were 2 477 patients receiving postoperative 90-day follow-up, with the 90-day mortality of 2.705%(67/2477). The total incidence rate of complication in 2 886 patients was 58.997%(1 423/2 412). The incidence rate of severe complication was 13.970%(291/2 083). The comprehensive complication index was 8.7(22.6) in 2 078 patients. (3) Influencing factors for 90-day mortality after pancreaticoduodenectomy. Results of multivariate analysis showed that age ≥ 70 years, postoperative invasive treatment, and unplanned ICU treatment were independent risk factors for 90-day mortality after pancreaticoduodenectomy ( odds ratio=2.403, 2.609, 16.141, 95% confidence interval as 1.281-4.510, 1.298-5.244, 7.119-36.596, P<0.05). Average annual surgical volume ≥36 cases in the hospital was an independent protective factor for 90-day mortality after pancreaticoduodenectomy ( odds ratio=0.368, 95% confidence interval as 0.168-0.808, P<0.05). Conclusions:Pancreaticoduodenectomy in Jiangsu Province is highly con-centrated in some hospitals, with a high incidence of postoperative complications, and the risk of postoperative 90-day mortality is significant higher than that of hospitallization mortality. Age ≥ 70 years, postoperative invasive treatment, and unplanned ICU treatment are independent risk factors for 90-day motality after pancreaticoduodenectomy, and average annual surgical volume ≥36 cases in the hospital is an independent protective factor.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Non-alcoholic fatty liver disease(NAFLD)is a kind of disease caused by a variety of reasons,which is characterized by steatosis and fat accumulation in liver parenchymal cells.In recent years,the morbidity of NAFLD has been relatively high in China.In the field of traditional Chinese medicine,NAFLD can be classified into the categories of"hepatic mass","abdominal mass"and"concretions and conglomerations".Spleen failing in transportation is the core pathogenesis of NAFLD,and the intervention of NAFLD with the method of activating spleen and resolving accumulation(shortened to Yunpi Huaji method)has achieved good results.In this paper,the clinical research of Yunpi Huaji method for the treatment of NAFLD and experimental research on its therapeutic mechanism in the past 10 years were reviewed.The results showed that the treatment of NAFLD by Yunpi Huaji method can be achieved by oral use of compound preparations and external treatment such as acupuncture,tuina and physiotherapy,and the therapeutic mechanism in the prevention and treatment of NAFLD was through multi-action,multi-target and multiple signaling pathways.The review will provide thoughts for the clinical diagnosis and treatment of NAFLD in traditional Chinese medicine,and will supply theoretical support for the medicine development and mechanism exploration of Yunpi Huaji method for the prevention and treatment of NAFLD.

Objective To investigate the effect of varying blood pressure stratification on renal function in the diabetic population.Methods A prospective cohort study was conducted,enrolling 9 489 diabetic patients from a total of 101 510 Kailuan Group employees who underwent health examinations between July 2006 and October 2007.The follow-up period was(8.6±4.0)years.Participants were categorized into four groups based on their baseline blood pressure levels:normal blood pressure(systolic blood pressure<120 mmHg and diastolic blood pressure<80 mmHg),elevated blood pressure(systolic blood pressure 120-130 mmHg and diastolic blood pressure<80 mmHg),stage 1 hypertension(systolic blood pressure 130-140 mmHg and/or diastolic blood pressure 80-90 mmHg),and stage 2 hypertension(systolic blood pressure≥140 mmHg and/or diastolic blood pressure≥90 mmHg).The incidence density of chronic kidney disease(CKD)was compared among these groups.A multivariate Cox proportional hazards regression model was employed to assess the effects of different blood pressure levels on renal function in diabetic patients,with the stability of the results confirmed using a multivariate time-dependent Cox proportional hazards model.Sensitivity analysis was conducted after excluding cases of cardiovascular disease(CVD)during follow-up,and cases using antihypertensive and antidiabetic medications at baseline.Results(1)At baseline,stage 1 hypertension patients demonstrated statistically significant higher differences with age and body mass index(BMI)compared to normal blood pressure group(P<0.05).(2)By the end of the follow-up,2 294 cases of CKD were identified,including 1 117 cases of estimated glomerular filtration rate(eGFR)decline and 1 575 cases of urinary protein.The incidences density of CKD,eGFR decline and urinary protein for stage 1 hypertension group were 39.4,16.3 and 25.5 per thousand person-years,respectively,all of which were statistically significant different from normal blood pressure group(log-rank test,P<0.01).(3)Multivariate Cox regression analysis revealed that,compared to the normal blood pressure group,stage 1 hypertension was associated with a 29%increased risk of CKD(HR=1.29,95%CI 1.09-1.52)and a 40%increased risk of eGFR decline(HR=1.40,95%CI 1.08-1.80)in diabetic individuals.Conclusion Stage 1 hypertension significantly increases the risk of CKD and eGFR decline in diabetic individuals,with a particularly notable effect on the risk of eGFR decline.

Objective To investigate the effect of Mex3c gene knockout on embryonic neural tube development and its possible mechanisms.Methods The NCBI database was used to analyze the expression of Mex3c gene in various tissues of mice.Fluorescence in situ hybridization(FISH)was employed to detect the expression of Mex3c in neural tubes of Mex3c+/+mice at different developmental stages(E12.5 d,E14.5 d).Sexual mature mice were mated at a ratio of Mex3c+/-male to female(1:1)in the same cage.Embryos were collected and genotyped using PCR.They were divided into 3 groups based on their genotype:wild-type group(Mex3c+/+,WT group),homozygous knockout group(Mex3c-/-,KO group),and heterozygous knockout group(Mex3c+/-).HE staining was employed to observe the development of neural tubes in the 3 groups of embryos.Immunofluorescence staining and Western blotting were performed to detect the proliferation and apoptosis of embryonic neural stem cells in the WT and KO groups.Transmission electron microscopy was used to observe the ultrastructure of the neural tubes and mitochondria in the WT and KO groups.RNA was extracted from the neural tubes of WT and KO groups for RNA-seq sequencing.The R.3.6.3 software was used to perform KEGG signaling pathway enrichment analysis on differentially expressed genes.RT-qPCR was used to validate the sequencing results.Results The NCBI database analysis and FISH detection results showed that the Mex3c gene was mainly expressed in the central nervous system of embryos.HE staining results showed that there was no significant difference in the development of embryonic neural tubes between KO group,WT group,and heterozygous knockout group at E12.5 d and E13.5 d.However,at E14.5 d,the embryonic neural tube development in KO group was delayed and the phenotype was significantly abnormal compared with those in WT group.Therefore,the embryonic neural tube tissues of KO group and WT group at E14.5 d were selected for subsequent experiments.The immunofluorescence staining results showed that the PCNA positive cell rate in KO group was significantly lower than that in WT group(P<0.001).The Western blotting results showed that the Bax/Bcl-2 ratio in KO group was higher than that in WT group(P<0.01).Transmission electron microscopy observation showed that compared with WT group,the synaptic gap in KO group disappeared,the mitochondrial of the embryonic neural tube in KO group were swollen,the mitochondrial cristae were disrupted,and the structure was significantly abnormal.The results of RNA-seq analysis showed that a total of 377 differentially expressed genes were obtained,including 101 up-regulated genes and 276 down-regulated genes.KEGG signaling pathway enrichment analysis revealed that the main signaling pathways of differentially expressed genes were enriched in the neuroactive ligand receptor interaction signaling pathways.The RT-qPCR validation results showed that the mRNA expression levels of Avpr1a,Drd1,Htr7,Sstr1,Oxtr and Gabra5 in this signaling pathway were down-regulated(P<0.05 or P<0.01),which was consistent with the RNA-seq results.Conclusion Mex3c plays an important role in the development of neural tubes in mouse embryos,which may participate in regulating the proliferation and apoptosis of neural stem cells through neural active ligand receptor interaction signaling pathways,thereby affecting the development of neural tubes.