Objective To analyze the high risk factors of obstetric brachial plexus palsy(OBPP),and to explore how to evaluate the relationship between fault medical behavior and OBPP in the process of medical damage forensic identification.Methods A retrospective analysis was carried out on 25 cases of medical damage liability disputes related to OBPP from 2017 to 2021 in Beijing Fayuan Judicial Science Evidence Appraisal Center.The shortcomings of hospitals in birth weight assessment,delivery mode selection,labor process observation and shoulder dystocia management,and the causal relation-ship between them and the damage consequences of the children were summarized.Results Fault medi-cal behavior was assessed as the primary cause in 2 cases,equal cause in 10 cases,secondary cause in 8 cases,minor cause in 1 case,no causal relationship in 1 case,and unclear causal force in 3 cases.Conclusion In the process of forensic identification of OBPP,whether medical behaviors fulfill diagno-sis and treatment obligations should be objectively analyzed from the aspects of prenatal evaluation,de-livery mode notification,standardized use of oxytocin,standard operation of shoulder dystocia,etc.Meanwhile,it is necessary to fully consider the objective risk of different risk factors and the diffi-culty of injury prevention,and comprehensively evaluate the causal force of fault medical behavior in the damage consequences.

Biological evidence is relatively common evidence in criminal cases,and it has strong pro-bative power because it carries DNA information for individual identification.At the scene of fire-related cases,the complex thermal environment,the escape of trapped people,the firefighting and res-cue operations,and the deliberate destruction of criminal suspects will all affect the biological evi-dence in the fire scene.Scholars at home and abroad have explored and studied the effectiveness of biological evidence identification in fire scenes,and found that the blood stains,semen stains,bones,etc.are the main biological evidence which can be easily recovered with DNA in fire scenes.In order to analyze the research status and development trend of biological evidence in fire scenes,this paper systematically sorts out the relevant research,mainly including the soot removal technology,appearance method of typical biological evidence,and possibility of identifying other biological evidence.This pa-per also prospects the next step of research direction,in order to provide reference for the identifica-tion of biological evidence and improve the value of biological evidence in fire scenes.

In the aftermath of the pandemic,the government is accelerating the development of top-tier medical resources to broaden the supply and deliver superior healthcare services.However,during this transitional phase,hospitals are experiencing operational challenges due to concurrent construction activities.Notably,a shortage of parking facilities and increased traffic con-gestion continue to impactmedial consultation experience of patients.This paper tries to explore strategies and methods for dynam-ic parking management during hospital campus expansions,offering insights for other medical institutions into grappling with pa-tient parking issues.

Objective:To investigate the efficacy of mFOLFOX7 regimen systemic chemo-therapy combined with camrelizumab and apatinib for hepatocellular carcinoma (HCC) with Vp4 portal vain tumor thrombus (PVTT).Methods:The single-arm, open, exploratory clinical study was conducted. The clinicopathological data of 15 HCC patients with Vp4 PVTT who were admitted to the Sun Yat-sen Memorial Hospital of Sun Yat-sen University from April 2021 to October 2023 were collected. There were 14 males and 1 female, aged 48(range, 33-67)years. All patients underwent treatment with mFOLFOX7 regimen combined with camrelizumab and apatinib. Observa-tion indicators: (1) clinical efficacy; (2) survival of patients. Measurement data with skewed distribution were represented as M(rang), and count data were described as absolute numbers or percentages. Results:(1) Clinical efficacy. All 15 patients underwent treatment with mFOLFOX7 regimen combined with camrelizumab and apatinib. According to the response evaluation criteria in solid tumors version 1.1, the ratio of objective response, ratio of complete response, ratio of partial response, ratio of disease control, median progression free survival time and median total survival time of the 15 patients were 10/15, 1/15, 9/15, 15/15, not reached and not reached. The median progression free survival time and median total survival time were both >9 months. According to the modified response evaluation criteria in solid tumors, the ratio of objective response, ratio of complete response, ratio of partial response, ratio of disease control, median progression free survival time and median total survival time of the 15 patients were 12/15, 6/15, 6/15, 15/15, not reached and not reached. The median progression free survival time and median total survival time were both >9 months. Of the 15 patients, 7 cases were successfully treated with conversion therapy with the surgical conversion rate as 7/15, and all of them achieved R 0 resection. The other 6 cases were failed in conversion therapy, and there were 2 cases still undergoing conversion therapy. Of the 7 patients with successful conver-sion therapy, 5 cases achieved complete pathological remission, 1 case achieved major pathological remission with 90% of tumor tissue necrosis, and 1 case achieved complete remission through imaging examination, but new liver lesions appeared in multiple locations during further observation which were surgically removed. Results of histopathology examination on the patient confirmed multiple liver metastases. The proportion of treatment-associated adverse reactions in 15 patients was 13/15, with 7/15 having ≥grade 3 adverse reactions, including diarrhea (3/15), neutropenia (2/15), thrombo-cytopenia (2/15), and elevated aspartate aminotransferase (2/15). One patient may experience ≥1 adverse reaction. All patients were improved after symptomatic treatment. (2) Survival of patients. All 15 patients were followed up for 13.0(range, 2.0-31.0)months. During the follow-up period, 3 patients died. One case died of upper gastrointestinal bleeding after achieving partial remission, with a survival time of 7.5 months. One case died of multiple liver metastases of tumor, with tumors accounting for over 70% volume of liver and a survival time of 9.5 months. One case with multiple liver tumors and bilateral lung metastasis died due to disease progression after achieving partial remission, with a survival time of 13.5 months. The postoperative follow-up time for 7 patients undergoing surgical treatment was 14.0(range, 2.0-25.0)months. Of the 7 patients, 1 case experien-ced tumor recurrence 20.0 months after surgery, and 6 cases had no recurrence at last time of the follow-up (3 cases completed treatment and entered follow-up observation). The longest survival time was 31.0 months. Conclusion:The mFOLFOX7 regimen systemic chemotherapy combined with camrelizumab and apatinib for HCC with Vp4 PVTT is safe and feasible.

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.

Talents are the main force for the development of traditional Chinese medicine（TCM）， and the construction of TCM talents and the reformation of talent evaluation system are essential to promote the inheritance and innovation of TCM. At present， we are still exploring and developing in the fields of the formulation， implementation and evaluation indicators of TCM talent evaluation system. However， there are shortcomings and difficulties. For instance， insufficient stratification in the evaluation， excessive emphasis on the quantity of achievements， neglecting the quality of the achievements and the actual contribution， imperfect assessment indicators， and the weak characteristics of TCM. Therefore， national ministries and commissions have jointly issued a document requesting to break the four only and set a new standard， in order to promote the construction of a scientific and technological talent evaluation system oriented by innovation value， ability and contribution. For the evaluation of TCM clinical talents， China Association for Science and Technology commissioned China Association of Chinese Medicine to build the China Clinical Cases Library of TCM（CCCL-TCM）， which aims at collecting the most authoritative and representative TCM clinical cases and exploring the advantages of applying clinical cases as masterpiece of achievement in TCM clinical talents evaluation. CCCL-TCM can promote the construction of a talent evaluation system that is more in line with the development characteristics of TCM industry， and to carry out relevant pilot in TCM colleges and institutions across the country in order to promote the reformation of TCM talent evaluation system.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

AIM To identify the endophytic fungus G-(JK)-2 from Orixa japonica Thunb.and to study its secondary metabolites and their α-glucosidase inhibitory activities.METHODS Through the ITS sequence,the evolutionary tree that identifies the endophytic fungus G-(JK)-2 was established.Then 45 days rice solid medium of endophytic fungus G-(JK)-2 was extracted by methanol,and then by ethyl acetate.The ethyl acetate extract was separated and purified by silica gel chromatography,Sephadex LH-20,and semi-preparative HPLC.The structures of obtained compounds were identified by physicochemical properties and spectral data.Their α-glucosidase inhibitory activities were evaluated by PNPG method.RESULTS The endophytic fungus G-(JK)-2 from O.japonica was identified as Fusarium nematophilum.Thirteen compounds were isolated and identified as p-hydroxybenzaldehyde(G1),4-hydroxyacetophenone(G2),anhydromevalonolactone(G3),flazine(G4),salicylic acid(G5),p-hydroxybenzoic acid(G6),di-(2-ethylhexyl)-phthalate(G7),terephthalic acid bis(2-ethyl-hexyl)ester(G8),thymine(G9),uridine(G10),adenosine(G11),2′-deoxyuridine(G12),nicotinic acid(G13).The inhibitory effect of each compound on α-glucosidase was in sequence of G4>G11>G10>G13>G12.CONCLUSION All compounds are first isolated from the endophytic fungi of the O.japonica,and G10,G11,G13 are first isolated from the endophytic fungi of Fusarium.G4 and G11 have mild inhibition to α-glucosidase.

AIM To evaluate the quality of Beidougen Formula Granules.METHODS Fifteen batches of standard decoctions and three batches of formula granules were prepared,after which paste rate and contents,transfer rates of magnoflorine,daurisoline,dauricine were determined.HPLC specific chromatograms were established,and cluster analysis was adopted in chemical pattern recognition.RESULTS For three batches of formula granules,the paste rates were 15.1%-16.6%,the contents of magnoflorine,daurisoline,dauricine were 18.93-19.39,9.42-9.60,6.79-6.85 mg/g with the transfer rates of 34.42%-35.25%,43.81%-44.65%,27.27%-27.51%from decoction pieces to formula granules,respectively,and there were seven characteristic peaks in the specific chromatograms with the similarities of more than 0.95,which demonstrated good consistence with those of standard decoctions and accorded with related limit requirements.Fifteen batches of standard decoctions were clustered into two types,and the medicinal materials produced from Jilin,Hebei,Shangdong could be used for the preparation of formula granules.CONCLUSION This reasonable and reliable method can provide references for the quality control and clinical application of Beidougen Formula Granules.

[摘 要] 目的：系统评估经动脉化疗栓塞（TACE）和酪氨酸激酶抑制剂（TKI）联合（TT）联合或不联合PD-1抗体（PD-1Ab）治疗晚期肝细胞癌（aHCC）的疗效与潜在不良反应（AE）。方法：检索PubMed、中国知网（CNKI）、Embase、Web of Science等数据库，时限为各数据库建库始至2024年1月31日。由2位评价员独立筛选文献、提取资料并评价纳入研究的偏倚风险后，采用Stata16.0软件进行Meta分析。结果：纳入17项研究，共2 334例aHCC患者。Meta分析结果显示，与TT疗法相比，PD-1Ab的加入能显著改善aHCC患者的总生存期（OS）[HR = 0.44，95% CI（0.36，0.51），P < 0.000 01]和无进展生存期（PFS）[HR = 0.47，95% CI（0.42，0.52），P < 0.000 01]，同时提高aHCC患者的客观缓解率（ORR）[HR = 1.65，95% CI（1.46，1.86），P < 0.000 01]和疾病控制率（DCR）[HR = 1.26，95% CI（1.15，1.38），P < 0.000 01]；不同基线资料如ECOG-PS、肝外转移与否、BCLC分期、肿瘤大小、Child-Pugh评分及肝门静脉侵犯与否等aHCC患者均可从TT PD-1Ab疗法中获益；两治疗方案间全级别与 ≥3级AE的总发生率无显著差异，但高血压、甲状腺功能减退及反应性皮肤血管增生等症状在接受TT PD-1Ab治疗的患者中更为常见。结论：相较于TT疗法，PD-1Ab的加入可显著延长aHCC患者OS和PFS，并提高其整体ORR与DCR；TT PD-1Ab治疗组患者发生全级别及≥ 3级AE的整体发生率没有显著增加，整体耐受性良好，但在高血压、皮肤与黏膜及甲状腺AE上有较高的发生率，应予以重视。