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目的探究疏血通及其主要成分水蛭素对Sprague-Dawley（SD）大鼠小脑颗粒神经元（CGNs）凋亡的影响及机制。方法体外成熟7 d的CGNs分为存活对照组（用含K+浓度为25 mmol/L的培养基，即25 K组）、凋亡组（用含K+浓度为5 mmol/L的培养基，即5 K组）、以1/50、1/40、1/30、1/20、1/10浓度（稀释50、40、30、20、10倍）疏血通注射液处理组（25 K以及5 K合并疏血通处理组）以及对应不同浓度（2 U/mL、2.5 U/mL、3.34 U/mL、5 U/mL、10 U/mL）水蛭素处理组（25 K以及5 K合并水蛭素处理组），用Hoechst染色法观察并统计凋亡率。在蛋白印迹实验中，在25 K和5 K条件下用1/50、1/10浓度疏血通注射液以及对应2 U/mL、10 U/mL浓度水蛭素处理细胞，用Western blot法检测Cleaved Caspase-3、Bim、VEGF的表达水平。结果核染色结果显示，与25 K存活对照组比较，5 K凋亡组凋亡率增加；与25 K存活对照组比较，不同浓度疏血通注射液与水蛭素处理细胞后凋亡率无明显变化；与5 K凋亡组比较，不同浓度疏血通注射液与水蛭素处理细胞后凋亡率下降，且随着浓度的升高，凋亡率下降越明显。Western blot结果显示，与5 K凋亡组比较，不同浓度疏血通与水蛭素处理细胞后Cleaved Caspase-3、Bim蛋白表达水平均下降，VEGF蛋白表达水平升高。结论疏血通及其主要成分水蛭素通过抑制Bim表达，进而抑制线粒体依赖的小脑颗粒神经元凋亡。

目的探究共济失调毛细血管扩张突变（ATM）激酶失活诱导神经元凋亡的具体分子机制。方法体外成熟7 d的小脑颗粒神经元（CGNs）分别用含25 mmol/L KCl（25 K）培养基、5 mmol/L KCl（5 K）培养基和含ATM特异性抑制剂（Ku55933，10 µmol/L；Ku60019，15 µmol/L）的25 K培养基后进行免疫印迹检测ATM、Caspase3、Cleaved Caspase-3的蛋白表达水平或培养8 h后进行Hoechst染色分析。在C6细胞和CGNs中转染ATM和GADD45α特异性siRNA，q-PCR和免疫印迹验证其干扰效率。体外成熟5 d的CGNs通过磷酸钙转染ATM特异性siRNA和pCMV-EGFP 48 h后进行Hoechst染色和凋亡分析。体外成熟7 d的CGNs用含ATM特异性抑制剂的25 K培养基培养8 h后进行全转录组测序、差异表达基因鉴定和通路富集分析。体外成熟5 d的CGNs通过磷酸钙转染GADD45α特异性siRNA和pCMV-EGFP 48 h，用含15 µmol/L Ku6的25 K培养基处理8 h或5 K培养基处理 8 h后进行Hoechst染色和凋亡分析。结果与25 K组相比，5 K处理组和ATM特异性抑制剂处理组的CGNs ATM蛋白表达降低、Cleaved Caspase-3蛋白表达增加、细胞核固缩率增加。C6细胞和CGNs中转染ATM和GADD45α特异性siRNA后有效降低ATM 和GADD45α 的mRNA和蛋白的表达。与对照相比，CGNs转染ATM特异性siRNA 后，细胞核固缩率升高。在Ku55933处理组中鉴定出835个基因表达上调，848个基因表达下调；在Ku60019处理组中鉴定出454个基因表达上调，314个基因表达下调；274个基因在Ku5处理组和Ku6处理组中共同上调，179个基因在Ku5处理组和Ku6处理组中共同下调，其中ATM下游靶标GADD45α表达上调；通路富集结果显示TNF信号通路、NF-κB信号通路和凋亡信号通路等被显著富集。与对照相比，抑制剂处理组和5K组GADD45α的mRNA和蛋白表达均升高。与对照相比，转染GADD45α特异性siRNA后用含15 µmol/L Ku60019的25 K培养基处理8 h或5 K培养基处理后的CGNs细胞核固缩率降低。结论ATM活性降低诱导GADD45α依赖的神经元凋亡。

因為資訊與通信科技（Information and Communication Technology）突破 式的發展，促成了數位經濟的實現，數位經濟除在商業模式展現其多元化之面貌外，更在支付方法上提供多樣化的選擇，除傳統的線上轉帳、提款機轉帳、信用卡付款外，新型態例如超商條碼、超商代碼、超連結提供QR 碼、虛擬貨幣交易等，一個洗錢計畫通常會附帶逃漏稅捐的結果。 本文首先分析洗錢行為與逃漏稅行為的共通性要素與常見的洗錢判斷指 標，接續從實務角度觀察常見之稅務犯罪態樣，並說明數位經濟下稅務洗錢犯罪之特色，最後嘗試提出可能之解決方案。 The breakthrough development of information and communication technology has contributed to the realization of the digital economy. Besides online transfers, ATM transfers, and credit card payments, new forms such as supermarket barcodes, supermarket codes, QR codes provided by hyperlinks, virtual currency transactions, etc., a money laundering plan usually comes with the result of tax evasion. This article first, analyzes the common elements of money laundering behavior and tax evasion behavior and common money laundering judgment indicators, continues to observe common tax crimes from a practical perspective, and explains the characteristics of tax money laundering crimes in the digital economy, and finally tries to propose possible solutions.

目的探讨组蛋白去乙酰化酶抑制剂（HDACIs）抑制神经胶质瘤细胞增殖的机制。方法体外培养U251和H4细胞，用组蛋白去乙酰化酶抑制剂：包括帕比司他（LBH589）和M344、伏立诺他（SAHA）处理后，MTT比色法检测细胞存活率，流式细胞术检测细胞周期进程改变，Western blotting和RT-qPCR法分别检测minichromosome maintenance （MCM）蛋白家族成员MCM2、MCM3、MCM4、MCM5、MCM6和MCM7的mRNA和蛋白表达水平。用组蛋白去乙酰化酶抑制剂：包括帕比司他和曲古霉素（TSA）处理U251细胞后，BrdU掺入实验检测细胞增殖和DNA复制能力。用MCM抑制剂环丙沙星（CPX）处理U251和H4细胞，MTT法检测细胞存活率，流式细胞术检测细胞周期进程改变。结果与对照组相比，HDACIs降低了U251和H4活细胞数量（PPPPPP

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Objective To establish a predictive model for postoperative intracranial infection in patients with brain tumors and analyze the impact of intracranial infection on the prognosis of patients. Methods The clinical data of 1 352 patients with intracranial tumor surgery admitted to Linfen People's Hospital from January 2015 to December 2022 were analyzed retrospectively. According to whether the patients developed intracranial infection after surgery or not, they were divided into intracranial infection group (n=52) and control group (n=1300). The clinical characteristics of the two groups of patients were compared, and the risk factors for postoperatively intracranial infection in patients with craniocerebral tumor were analyzed. Based on the relevant risk factors, a Nomogram prediction model was established. Meanwhile, the prognosis of the intracranial infection group was analyzed. Results Multivariate logistic regression analysis showed that diabetes, craniotomy, operation time, postoperative cerebrospinal fluid leakage and postoperative cerebral hemorrhage were independent influencing factors of postoperative intracranial infection in patients with brain tumors. The data set was randomly divided into a training set and a verification set. Diabetes, craniotomy, operation time, postoperative cerebrospinal fluid leakage and postoperative cerebral hemorrhage were included in the prediction model. Nomogram, clinical decision curves, calibration curves and receiver operating characteristic (ROC) curves were drawn. The area under curve (AUC) of ROC in the training set was 0.849 (95% CI 0.763-0.934), and the AUC of ROC in the validation set was 0.838 (95% CI 0.732 0.943). In the validation set, the model was subjected to the Hosmer-Lemeshow Goodness-of-Fit Test, with a chi square value of 14. 399 and a P value of 0.072, which indicated that this model had good reliability. Compared with the control group, the hospital mortality rate in the intracranial infection group was significantly higher (15.38% vs 1.54%, P<0.001). Conclusions The prediction model established in this study can accurately identify patients at high risk of intracranial infection in patients with intracranial tumors after surgery. [ABSTRACT FROM AUTHOR]

Under the goal of achieving carbon peak and carbon neutrality ecological issues from clothing consumption are escalating posing significant pressure on the natural environment and challenges to the sustainable development of the clothing industry. Sustainable development encompasses a complex chain spanning from production to consumer behavior yet current government measures policies regulations and industrial strategies predominantly focus on the production sector with inadequate attention paid to the consumption sector. Notably unsustainable consumption trends like overconsumption comparative consumption and abandonment are becoming increasingly prevalent in the clothing consumption process. Consequently actively guiding consumers towards sustainable clothing consumption behaviors is paramount. Current research on sustainable clothing consumption behavior largely revolves around empirical investigations that use statistical methods to analyze influencing factors consumption intentions and behaviors. While these studies are significant in reflecting the static characteristics of consumer behavior at a particular moment they struggle to capture the complex dynamic trends and macro-emergent effects of such behavior. To address this gap our research employs a multiagent modeling approach to simulate the mechanisms impacting sustainable clothing consumption behavior. This approach allows us to capture the emergent behaviors arising from interactions between individual consumers and the interactions between individuals and their environmental contexts in real-world scenarios. Based on a literature review the study first analyzed sustainable clothing consumption behavior and its influencing mechanisms. Subsequently utilizing the agent-based modeling and simulation ABMS method a multi-agent conceptual model was developed to encapsulate the driving factors of sustainable clothing consumption behavior. Within this model consumer agents clothing product agents product facility supply agents and supervision agents were designed and characterized. Additionally considering the individual heterogeneity observed in real-world social groups three variables namely trust conformity and willingness to accept were integrated into the traditional Deffuant model to enhance the interaction mechanism of sustainable consumption cognition. Furthermore a BP neural network model was formulated to serve as the decision-making mechanism for sustainable clothing consumption behavior. Ultimately a simulation system model for sustainable clothing consumption behavior was constructed and the simulation experiments were conducted by utilizing the Netlogo platform to analyze and evaluate the dynamics of sustainable clothing consumption behavior. This study introduced ABMS into the realm of sustainable clothing consumption utilizing an enhanced Deffuant model to simulate the emergent group characteristics and trends in consumer behavior resulting from interactions between individuals and various factors. Results show that consumers' sustainable consumption cognition significantly promotes the sustainable consumption behavior of clothing. The beneficial intervention of any variable in product sustainability and facility supply conditions will effectively improve consumers ' sustainable clothing consumption behavior. Specifically product sustainability has a strong driving effect under low intensity and product facility supply conditions have a strong driving effect under medium and high intensity. In the case of different combinations of supply conditions the improvement of product sustainability and product facility supply conditions to a medium level or above will greatly promote the sustainable consumption behavior of consumers. Based on this method the dynamic evolution from individual micro-behaviors to macro-behaviors in sustainable clothing consumption is realized making the proposed strategies and recommendations highly targeted and practical. Additionally by employing interdisciplinary theories and methods a comprehensive and systematic research framework is formed further enhancing the depth and breadth of the study. Based on a multi-agent model an in-depth simulation study of sustainable clothing consumption behavior was conducted providing new perspectives and methods for understanding and promoting sustainable consumption. By constructing a complex simulation environment the study simulated the decision-making process of consumers when faced with different sustainable consumption choices revealing how various factors influence consumers' sustainable consumption tendencies. This study not only provides theoretical insights in the realm of sustainable clothing consumption but also offers robust support for practical applications so as to contribute to the green transformation and sustainable development of the clothing industry. [ABSTRACT FROM AUTHOR]

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To investigate the transverse temperature patterns and the static structural behavior of tied arch bridge decks in cold regions, this study analyzed transverse temperature gradients using actual temperature measurements and nearly 50 years of meteorological data. Midas software was employed to develop a mechanical model of the bridge's temperature field, deriving temperature effects under transverse temperature gradients and comparing them with the code for design on reinforced and prestressed concrete structure of railway bridge and culvert in China. The findings indicate that the transverse temperature differences across the tied arch bridge decks exhibit a nonlinear distribution, with greater differences occurring further from the centerline. The temperature gradient pattern is symmetrical about the centerline of the bridge deck, exhibiting a power-exponential distribution within half the range. The 100-year transverse temperature model for the bridge deck in the study area was established, revealing that the stress and displacement of each control section exceed those predicted by the code for design on reinforced and prestressed concrete structure of railway bridge and culvert in China. The research results provide a reference for engineering applications. [ABSTRACT FROM AUTHOR]

In recent years, the rapid development of the economy has continuously driven the growth of consumer demand in China, leading to a sustained upgrade in consumption structure. The increasing demand from consumers for diversified textiles and clothing has strongly propelled the development of China's textile and garment industry. Meanwhile, the serious issues of energy consumption, environmental pollution, and resource waste in the textile and garment industry are becoming increasingly prominent, making it one of the industries with the highest resource waste and most waste production in China. A sustainable clothing consumption pattern for consumers is not only an objective requirement for China to achieve its "dual carbon" goals but also an effective solution to the environmental problems caused by the textile and garment industry. However, Chinese consumers currently face challenges in implementing sustainable clothing consumption behaviors, such as low likelihood of occurrence and difficulty in implementation. Therefore, conducting in-depth research on the factors influencing sustainable clothing consumption and its mechanisms can ensure more precise guidance for consumers to practice sustainable clothing consumption behaviors and promote the industry's sustainable development. Firstly, the significant differences in the performance of Chinese residents in various types of pro-environmental behaviors were found through the analysis of literature. For example, Chinese residents demonstrate good frugal behaviors in daily life, while showing reluctance or willingness without implementation in sustainable consumption of clothing, leading to an awkward dilemma. Given that frugal behaviors and sustainable clothing consumption behaviors both fall under the category of dynamically changing pro-environmental behaviors, although they are of two different types, they are interrelated and share the same motivation. Thus, it is appropriate to construct a model of behavioral spillover effects. Secondly, based on the behavioral spillover effects and self-perception theory, a theoretical framework model was constructed, including variables such as frugal behaviors, sustainable clothing consumption behaviors, environmental self- identity and social norms. Meanwhile, relevant hypotheses and developed scales were put forward. Subsequently, a questionnaire survey was conducted targeting Chinese consumers. After eliminating invalid questionnaires due to missing answers or insufficient response times, a total of 351 valid samples were obtained. Finally, by using SPSS software and data analysis methods such as reliability and validity analysis, path analysis, mediation tests and moderation tests, the research hypotheses were validated. The results indicate that frugal behaviors among Chinese residents, including aspects related to diet, transportation and usage, positively influence sustainable clothing consumption behaviors. Additionally, environmental self-identity serves as a mediator in the relationship between frugal behaviors and sustainable clothing consumption behaviors. Moreover, social norms play a significant moderating role in the relationships between frugal behaviors and sustainable clothing consumption behaviors, as well as between frugal behaviors and environmental self-identity. This conclusion confirms the promoting effect and influencing mechanism of frugal behaviors on sustainable clothing consumption behaviors. It provides valuable insights for fostering sustainable consumption behaviors among Chinese residents and promoting the sustainable development of the clothing industry. Additionally, this study introduces the behavioral spillover effects into the research of sustainable clothing consumption behaviors, providing a new perspective for the study of sustainable clothing consumption and offering targeted policy suggestions to enhance consumer participation in sustainable clothing consumption behaviors. Certainly, considering the broad range and diverse preferences of Chinese consumers, future research should refine the study's target groups and explore more deeper into the motivating factors for sustainable clothing consumption among different demographics. Moreover, future research also aims to incorporate more influencing factors and explore the spillover mechanisms between other types of pro-environmental behaviors and sustainable clothing consumption behaviors. [ABSTRACT FROM AUTHOR]

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A method of cold-wave resistance serviceability analysis of the buried municipal water distribution system is proposed. Considering the influence of cold-wave temperature change on the temperature stress of water pipeline and the frozen stress of the soil around the pipeline, the water distribution system model with pipeline joint leakage is established, and the first-order second-moment method is used to calculate the cold-wave resistance serviceability of the water distribution system. Taking one water distribution system as an example, the serviceability of the water distribution system under the blue, yellow, orange and red cold-wave warning is presented respectively. The study shows that, the cold-wave temperature change has a significant impact on the serviceability of buried municipal water distribution system, and code-wave intensity, pipeline joint, and network topology are important factors affecting the serviceability of buried municipal water distribution system. The study may have certain reference value for the hazard resistance design of buried municipal water distribution system. [ABSTRACT FROM AUTHOR]

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