The modulation effect of substrate doping on multi-node charge collection and single-event transient propagation in 90-nm bulk complementary metal-oxide semiconductor technology

Variation of substrate background doping will affect the charge collection of active and passive MOSFETs in complementary metal-oxide semiconductor （CMOS） technologies, which are significant for charge sharing, thus affecting the propagated single event transient pulsewidths in circuits. The trends of charge collected by the drain of a positive channel metal-oxide semiconductor （PMOS） and an N metal-oxide semiconductor （NMOS） are opposite as the substrate doping increases. The PMOS source will inject carriers after strike and the amount of charge injected will irlcrease as the substrate doping increases, whereas the source of the NMOS will mainly collect carriers and the source of the NMOS can also inject electrons when the substrate doping is light enough. Additionally, it indicates that substrate doping mainly affects the bipolar amplification component of a single-event transient current, and has little effect on the drift and diffusion. The change in substrate doping has a much greater effect on PMOS than on NMOS.

Riemann Hypothesis, Catholic Information and Potential of Events with New Techniques for Financial and Other Applications

In this research we are going to define two new concepts: a) “The Potential of Events” (EP) and b) “The Catholic Information” (CI). The term CI derives from the ancient Greek language and declares all the Catholic (general) Logical Propositions () which will true for every element of a set A. We will study the Riemann Hypothesis in two stages: a) By using the EP we will prove that the distribution of events e (even) and o (odd) of Square Free Numbers (SFN) on the axis Ax(N) of naturals is Heads-Tails (H-T) type. b) By using the CI we will explain the way that the distribution of prime numbers can be correlated with the non-trivial zeros of the function ζ(s) of Riemann. The Introduction and the Chapter 2 are necessary for understanding the solution. In the Chapter 3 we will present a simple method of forecasting in many very useful applications (e.g. financial, technological, medical, social, etc) developing a generalization of this new, proven here, theory which we finally apply to the solution of RH. The following Introduction as well the Results with the Discussion at the end shed light about the possibility of the proof of all the above. The article consists of 9 chapters that are numbered by 1, 2, …, 9.

Pandemic or panic?A firm-level study on the psychological and industrial impacts of COVID-19 on the Chinese stock market

This study presents a thorough investigation of the relationship between the coronavirus disease 2019(COVID-19)and daily stock price changes.We use several types of COVID-19 patients as indicators for exploring whether stock prices are significantly affected by COVID-19’s impact.In addition,using the Chinese stock market as an example,we are particularly interested in the psychological and industrial impacts of COVID-19 on the financial market.This study makes two contributions to the literature.First,from a theoretical perspective,it shows a novel quantitative relationship between the psychological response to the pandemic and stock prices.In addition,it depicts the mechanism of the shock to the stock market by pointing out the specific functional expression of the impulse reaction.To our knowledge,this is the first theoretical calculation of the impulse of a shock to the financial market.Second,this study empirically estimates the marginal effect of the COVID-19 pandemic on fluctuations in stock market returns.By controlling for stock fundamentals,this study also estimates diverse industrial responses to pandemic stock volatility.We confirm that the COVID-19 pandemic has caused panic in the stock market,which not only depresses stock prices but also inflates volatility in daily returns.Regarding the impulse of the shock,we identify the cumulative level of the pandemic variables as well as their incremental differences.As shown by our empirical results,the terms for these differences will eventually dominate the marginal effect,which confirms the fading impulse of the shock.Finally,this study highlights some important policy implications of stock market volatility and returns to work in the industry.

Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community–resident complex networks

We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. Research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation and treatment strategies at community level are essential for controlling the spread of the epidemic. In addition, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.

Hot Events Detection of Stock Market Based on Time Series Data of Stock and Text Data of Network Public Opinion

With the highly integration of the Internet world and the real world, Internet information not only provides real-time and effective data for financial investors, but also helps them understand market dynamics, and enables investors to quickly identify relevant financial events that may lead to stock market volatility. However, in the research of event detection in the financial field, many studies are focused on micro-blog, news and other network text information. Few scholars have studied the characteristics of financial time series data. Considering that in the financial field, the occurrence of an event often affects both the online public opinion space and the real transaction space, so this paper proposes a multi-source heterogeneous information detection method based on stock transaction time series data and online public opinion text data to detect hot events in the stock market. This method uses outlier detection algorithm to extract the time of hot events in stock market based on multi-member fusion. And according to the weight calculation formula of the feature item proposed in this paper, this method calculates the keyword weight of network public opinion information to obtain the core content of hot events in the stock market. Finally, accurate detection of stock market hot events is achieved.

Light a lamp and look at the stock market

In this study,we investigate the impact of the light-a-lamp event that occurred in India during the COVID-19 lockdown.This event happened across the country,and millions of people participated in it.We link this event to the stock market through investor sentiment and misattribution bias.We find a 9%hike in the market return on the postevent day.The effect is heterogeneous in terms of beta,downside risk,volatility,and financial distress.We also find an increase(decrease)in long-term bond yields(price),which together suggests that market participants demanded risky assets in the postevent day.

Asymptotic Inefficiency of Incomplete Asset Markets and Symmetric Event Trees

Demonstrating theoretically the possibility that the financial market, albeit incomplete, has equilibrium and that this equilibrium is efficient and has been an important topic at the frontier of the research on general equilibrium for financial markets. The paper examines the asymptotic properties of incomplete financial markets taking into accounting the asset structure. The paper deals with a case in which a structure of securities relates to the asymptotic inefficiency.

The Capital Market Reaction and the Influencing Mechanism of the Establishment of the Data Basic Institutional System

This study uses a sample of A-share listed companies to investigate the impact of China's Data Basic Institutional System on capital market reactions and the mechanism by which it exerts influence.The findings reveal that within a 5-day period before and after the policy announcement,listed companies with high data resources experience a significantly higher abnormal return compared to those with low data resources.Moreover,this difference becomes more pronounced as enterprise technology intensity increases.Furthermore,the policy enhances the capital market's perception of the value of data resources and its potential for generating multiplier effects.Additional tests confirm that post-implementation of the policy,the capital market reevaluates the long-term value of enterprises associated with data resources.This comprehensive examination contributes empirical evidence to support academic research,inform policy formulation,and guide strategic planning in relevantindustries.

The impact analysis of policy events on China's carbon market

This paper interrogates the impact of policy events on the efficiency of carbon market in China.The analysis covers five piloting emission trading schemes(Beijing, Shanghai, Guangdong,Shenzhen and Hubei), particularly focusing on Guangdong pilot for its weak form efficiency and the richness of policy events. Twenty-five policy events between 2014 and 2016 are categorized into seven groups. The efficiency test indicates that only Guangdong ETS has reached weak form efficiency. After exploring the policy events occurred in Guangdong ETS, it finds that although a clear long-term climate policy has been set up over the country, China's carbon market still has a conservative risk appetite and its governing institutions still needs further development. The policy makers need to be aware of and avoid the negative impacts of policy events to the market evolvement, by introducing effective consultancy process with the stakeholders and nurturing market expectations in the long run. We also find that events like allowance auctions have considerably less impacts than previously expected and argue that auction approach should be considered a preferable option over a free allocation system in the future policy design.

Application Research on Two-Layer Threat Prediction Model Based on Event Graph

Advanced Persistent Threat(APT)is now the most common network assault.However,the existing threat analysis models cannot simultaneously predict the macro-development trend and micro-propagation path of APT attacks.They cannot provide rapid and accurate early warning and decision responses to the present system state because they are inadequate at deducing the risk evolution rules of network threats.To address the above problems,firstly,this paper constructs the multi-source threat element analysis ontology(MTEAO)by integrating multi-source network security knowledge bases.Subsequently,based on MTEAO,we propose a two-layer threat prediction model(TL-TPM)that combines the knowledge graph and the event graph.The macro-layer of TL-TPM is based on the knowledge graph to derive the propagation path of threats among devices and to correlate threat elements for threat warning and decision-making;The micro-layer ingeniously maps the attack graph onto the event graph and derives the evolution path of attack techniques based on the event graph to improve the explainability of the evolution of threat events.The experiment’s results demonstrate that TL-TPM can completely depict the threat development trend,and the early warning results are more precise and scientific,offering knowledge and guidance for active defense.

经济体制改革背景下的“母职惩罚”效应——基于动态视角的分析

在传统社会性别分工下,生育成本和养育压力主要由女性承担,使已育女性在劳动力市场中处于劣势地位,面临“母职惩罚”,这一现象进而反过来影响女性的生育决策,成为许多国家(地区)近年来出现较低生育率的重要原因之一。已有研究显示我国女性的“母职惩罚”在中国经济体制改革的不同阶段呈现不同特点,尤其在近年来出现愈发严重的趋势。但囿于数据,已有文献大多聚焦20世纪90年代甚至是21世纪后生育的女性,鲜有研究从20世纪80年代我国市场经济改革之初开始比较各时期女性生育行为对其劳动参与产生的影响,并且大多数文献主要考察生育事件的整体影响,较少关注不同育儿阶段对女性劳动参与影响的动态变化。文章利用中国健康与养老追踪调查2014年的生命历程回顾性调查数据重构女性在生育前后的劳动就业史,运用事件研究法分析1980年之后至少生育一个孩子的女性的劳动状况在初育前后的动态变化轨迹及其在不同工作部门类型的女性间的差异。数据分析结果显示我国女性参与劳动的概率在生育一孩后呈现先下降后回升的趋势,并在生育后第2年达到最低点。生育前在企业工作并且拥有农业户口的女性受到生育带来的负面影响较大,而生育前在政府部门工作或务农的女性受到的影响较小。文章进一步使用线性概率模型和混合效应多分类逻辑斯蒂模型比较生育对女性参与劳动的负面影响在不同生育队列间的差别和不同生育阶段对女性在不同工作部门参与劳动概率的影响。研究发现:相较于在20世纪80年代生育一孩的女性,在21世纪之后生育的女性的劳动参与受到的负面影响更大。相比生育前,成为母亲后的女性在各工作部门工作的机会都有所下降,但在企业获得工作的可能性最小且受到影响的持续时间最长,在其他类型的部门获得工作的可能性仅在孩子年幼时受到影响。提升未来我国女性的生育水平需要切实帮助女性平衡家庭和工作的关系,降低生育对女性职业发展的负面影响,重点发展普惠托育服务体系,同时鼓励男性多参与育儿和其他家务劳动,构建生育友好型社会。

基于SIRS模型的核电事故致因传播机制研究

文章用自然语言处理技术对152起核电厂执照运行事件报告(Licensed Operation Event Report,LOER)进行风险致因分析,得出风险致因复杂网络的相关数据,借助改进SIR传染病模型,结合核电运行事件风险传播的特征,构建了适用于核电领域的改进传播模型。文章对核电运行事件致因传播过程进行动态仿真,对比了不同因素对传播风险的影响差异,对当前的核电安全管理工作进行优化。

诉讼事件披露、企业风险与商业信用融资——基于信号传递理论的分析

以2010—2020年间A股上市公司为研究样本,考察供应链中诉讼事件披露对商业信用融资的影响。研究发现,诉讼事件披露会导致企业商业信用融资减少,且涉诉总金额越大,诉讼事件披露对商业信用融资的负向影响越严重。作用机制检验结果表明,诉讼事件披露主要通过增加企业经营风险和信息风险两条路径对商业信用融资产生影响。调节效应分析显示,供应链集中度越高、产品市场竞争越激烈,诉讼事件披露与商业信用融资之间的负相关关系越强。进一步研究发现,披露败诉结果和诉讼赔偿会加剧诉讼事件对商业信用融资的负向影响;当诉讼类型与供应链业务相关时,诉讼事件对商业信用融资的负向影响更强,但若涉诉企业为主诉方,则这种影响较弱。此外,较高的内部控制质量有利于缓解诉讼事件披露对商业信用融资的负向影响;随着涉诉总金额的增加,供应链上下游会更加不信任涉诉企业,进而导致其所能获得的商业信用融资进一步减少。

我国体育产业政策对体育资本市场价值的短期影响:基于事件研究法

利用资本市场体育产业股票的交易数据,对《关于促进全民健身和体育消费推动体育产业高质量发展的意见》(以下简称《意见》)的政策效果进行评估。选取沪深两市A股62只体育产业相关上市公司股票,基于事件研究法计算62个研究样本在政策颁布事件窗口期的异常收益率(AR)、平均异常收益率(AAR)、累计异常收益率(CAR)和平均累计异常收益率(CAAR)。结果表明:《意见》的颁布对我国体育产业资本市场上市公司股票产生了显著的正向影响效应,但在不同事件窗口期的影响效果差别较大。具体表现为:在整个事件窗口期取得了显著的CAR且平均值为0.04667,CAR为正值的股票个数为40只,占样本总量的64.52%;AAR在[-10,-9]交易日和[-5,-3]交易日为正值且数值较大,导致CAAR在这两时段快速拉升;AAR在-1交易日之后趋于平稳波动,CAAR也在高位进行平稳波动。为使“十四五”时期体育产业政策发挥有效作用,推动新时期我国体育产业高质量发展,从两个层面建议:强化有为政府政策干预,提升体育政策实施效果;增强有效市场行业自律,肩负体育资本市场责任。

基于FAERS的贝伐珠单抗相关药品不良事件信号挖掘

目的 促进贝伐珠单抗的临床安全使用。方法 通过美国食品和药物管理局不良事件报告系统(FAERS)提取2014年1月1日至2023年5月1日以贝伐珠单抗为首要怀疑药物的药品不良事件(ADE)报告,借助OpenVigil 2.1在线工具进行数据挖掘;采用报告比值比(ROR)法和贝叶斯置信区间递进神经网络(BCPNN)法联合检验ADE信号,利用《监管活动医学词典》(MedDRA)25.1中的首选语(PT)和系统器官分类(SOC)对ADE信号进行归类与分析。结果 共获得以贝伐珠单抗为首要怀疑药物的ADE报告60 675份,涉及患者60 675例,上报地区主要为北美洲(48.78%)和亚洲(29.00%);严重ADE报告中,以死亡报告数最多(14 358例,23.66%)。605个PT信号涉及ADE报告20 127份(患者20 127例),可归入21个SOC,信号数排前3的SOC分别为胃肠系统疾病(89个),良性、恶性及性质不明的肿瘤(包括囊状和息肉状肿瘤,68个)及眼器官疾病(66个);ADE例数排前3的SOC分别为全身性疾病及给药部位各种反应(3 059例)、血液及淋巴系统疾病(2 813例)和血管与淋巴管类疾病(2 235例)。ADE报告例数排前5的PT分别为疾病进展(1 279例)、高血压(1 072例)、贫血(585例)、骨髓抑制(583例)和蛋白尿(569例)。结论 临床医师在用药期间除关注贝伐珠单抗的常见ADE外,应重点关注其导致的高血压、蛋白尿、骨髓抑制、出血、胃肠穿孔、间质性肺病等严重ADE。

2024年国际天然气市场分析与趋势预测

2023年,全球经济复苏缓慢且不均衡,多重因素影响天然气价格走势,JKM(Japan-Korean Marker,东北亚天然气日韩基准价格)和TTF(Title Transfer Facility,荷兰产权转让设施指数)价格关联性强,HH(Henry Hub,亨利中心价格)价格维持低位震荡。展望2024年,从供需基本面入手,区分三大国际市场,补充中国情况,分析部门消费、进出口、产量、替代能源、储气、基础设施、突发事件等因素动向。结合预测模型客观计算和专家的主观判断,对2024年三大国际天然气价格走势进行综合判断和预测,预计HH、TTF、JKM均价分别在2.90~3.54美元/百万英热单位、15~18美元/百万英热单位和15.5~17美元/百万英热单位。

无源医疗器械类医用耗材上市后监测监管研究热点与推进路径探讨

目的:探讨基于无源医疗器械类医用耗材上市后监测监管的研究热点与推进路径。方法:采用数据挖掘方法对我国医疗器械监管相关机构网站和中国知网中国国家知识基础设施(CNKI)进行相关文献、文件采集;梳理医疗器械不良事件报告分项数据,提取期刊文献和文件主题要素词,进行文献计量分析与可视化显示。结果:我国医疗器械不良事件报告数量逐年增加,2022年为694866份;在2019年至2022年4个统计年度数据中,无源医疗器械及体外诊断(IVD)试剂的报告数也呈并行增加趋势,占年度医疗器械不良事件报告总数的65.00%左右。期刊文献的常规文献计量表明该领域研究得到监管机构、高校院所、医疗机构及生产企业不同程度参与,监管机构贡献了46篇,占文献总数的56.79%,其次是高校28篇;词篇共现分析显示,研究热点聚集在质量管理、风险管理、国际经验解析、再评价、真实世界研究5类;我国监管机构高度重视上市后监测监管,2006年以来发布相关文件20余份,围绕安全有效愈渐深入。结论:研究热点从基于不良事件报告的质量管理、风险管理、国际经验讨论逐步向主动监测、真实世界研究等方面深入。进一步加强医疗器械尤其是无源医疗器械类医用耗材上市后监测监管需要在政府监管、医疗机构与消费者用户和生产经营企业3个维度同步推进,高校院所、行业组织协同助力,加强监测技术和方法学研究,建立真实世界研究数据资源库与数据标准,拓展不良事件监测序贯活动,研究制定风险控制和纠正预防措施,服务于我国医疗健康和产业发展。

网络时代事件营销策略探析——以蜜雪冰城为例

近年来,事件营销以成本低、收效高的特点逐渐受到企业关注。事件营销应用策略体系的不健全及其高风险性,让众多企业对开展事件营销持观望态度。新媒体平台的发展以及公众话语权的提升,增加了企业进行事件营销的难度。本文以蜜雪冰城为例,运用案例分析法,对蜜雪冰城事件营销策略进行具体分析,并总结事件营销基本规律,探究网络时代事件营销的基本策略,为企业进行事件营销提供建议。

极端事件冲击下原油期货市场有效性的演变特征

原油期货市场极易受到地缘政治冲突和金融危机等极端事件冲击的影响,基于多重分形降趋波动分析和递归图方法构建了4种指标,量化分析了上海原油期货市场的有效性,并以国际原油Brent和WTI期货市场作为对比,系统地研究了极端事件冲击下市场有效性的动态演变特征。最后,对WTI原油期货市场的长历史数据进行了分析。研究发现:在相同的样本期间内,由于中国原油期货的制度优势、审慎适时的风控政策和具有强大韧性的经济基本面,极端事件冲击对国际原油期货市场有效性的负面影响要大于国内市场,从而使得上海原油期货市场的有效性在不同时间尺度下都高于Brent和WTI原油期货市场;原油期货市场的有效性不是固定不变的,具有显著的均值回复特征,极端突发事件会对原油期货市场的有效性造成严重的负面冲击,由于原油期货市场系统具有自我修复的能力,外生冲击造成的短暂动荡会被逐渐吸收化解,以维持自身市场有效性的相对稳定。所构建的市场有效性指标对预警原油期货市场风险具有一定的效果。

体育政策文件对体育资本市场短期效应的实证检验——以23家体育上市公司为例

通过文献资料法、事件研究法和数理统计法,实证检验体育政策文件对体育资本市场的短期效应,检验体育政策文件的发布对于资本市场的有效性。研究发现,相关体育文件出台会促使体育资本市场中相关上市公司的股价升高、市值扩大、资本市场价值提升且高于同期其他指数,获得相对更高的平均累计超额收益率(CAAR)。这种现象具有一定的持续性,呈现显著效应,尤以《体育产业发展“十三五”规划》《体育标准体系建设指南(2018-2020年)》和《体育强国建设纲要》三份文件表现显著。在持续性方面,《关于加快发展体育产业促进体育消费的若干意见》文件对体育资本市场有持续性的影响。同时,体育政策也会对体育资本市场造成一定的短期负面影响。