Event patterns extracted from top quark-related spectra in proton-proton collisions at 8 TeV

We analyze the transverse momentum （PT） and rapidity （y） spectra of top quark pairs, hadronic top quarks, and top quarks produced in proton-proton （pp） collisions at center-of-mass energy √s=8 TeV. For PT spectra, we use the superposition of the inverse power-law suggested by the QCD （quantum chromodynamics） calculus and the Erlang distribution resulting from a multisource thermal model. For y spectra, we use the two-component Gaussian function resulting from the revised Landau hydrodynamic model. The modelling results are in agreement with the experimental data measured at the detector level, in the fiducial phase-space, and in the full phase-space by the ATLAS Collaboration at the Large Hadron Collider （LHC）. Based on the parameter values extracted from PT and y spectra, the event patterns in three-dimensional velocity （βx-βy-βz）, momentum （px-py-pz）, and rapidity （y1-y2-y） spaces are obtained, and the probability distributions of these components are also obtained. Keywords： top quark-related spectra, event pattern, three-dimensional space

Event patterns from negative pion spectra in proton-proton and nucleus-nucleus collisions at SPS

Rapidity-dependent transverse momentum spectra of negatively charged pions measured at different rapidities in proton-proton collisions at the Super Proton Synchrotron （SPS） at various energies within its Beam Energy Scan （BES） program are investigated by using one- and two-component standard distributions where the chemical potential and spin property of particles are implemented. The rapidity spectra are described by a double- Gaussian distribution. At the stage of kinetic freeze-out, the event patterns are structured by the scatter plots in the three-dimensional subspaces of velocity, momentum and rapidity. The results of the studies of the rapidityindependent transverse mass spectra measured at mid-rapidity in proton-proton collisions are compared with those based on the similar transverse mass spectra measured in the most central beryllium-beryllium, argon-scandium and lead-lead collisions from the SPS at its BES energies.

Pattern dependence in synergistic effects of total dose on single-event upset hardness

The pattern dependence in synergistic effects was studied in a 0.18 μm static random access memory（SRAM） circuit.Experiments were performed under two SEU test environments：3 Me V protons and heavy ions.Measured results show different trends.In heavy ion SEU test,the degradation in the peripheral circuitry also existed because the measured SEU cross section decreased regardless of the patterns written to the SRAM array.TCAD simulation was performed.TIDinduced degradation in n MOSFETs mainly induced the imprint effect in the SRAM cell,which is consistent with the measured results under the proton environment,but cannot explain the phenomena observed under heavy ion environment.A possible explanation could be the contribution from the radiation-induced GIDL in pMOSFETs.

THE TEMPORAL AND SPATIAL PATTERNS OF ENVIRONMENTAL RISK EVENTS IN THE PAST 30 YEARS IN SHENYANG CITY

The index of Risk Frequency (RF) and other relative indices are used to analyze the temporal and spatial patterns of environmental riskevents in the past 30 years in Shenyang city. The results show that thereexists significant difference of the RFs between periods of 1966-1977 and1978-1991 (t=7.353**, t0.01=2.807). During the past 30 years, there areno significant changes of the spatial patterns of the environmental risk,while the proportions of environmental risk among the districts are extremely different. In Shenyang city, there exists a series of high riskenterprises, and the chemical industry is the one with highest risk.

Multi-scale regionalization based mining of spatio-temporal teleconnection patterns between anomalous sea and land climate events

Climate sequences can be applied to defining sensitive climate zones, and then the mining of spatio-temporal teleconnection patterns is useful for learning from the past and preparing for the future. However, scale-dependency in this kind of pattern is still not well handled by existing work. Therefore, in this study, the multi-scale regionalization is embedded into the spatio-temporal teleconnection pattern mining between anomalous sea and land climatic events. A modified scale-space clustering algorithm is first developed to group climate sequences into multi-scale climate zones. Then, scale variance analysis method is employed to identify climate zones at characteristic scales, indicating the main characteristics of geographical phenomena. Finally, by using the climate zones identified at characteristic scales, a time association rule mining algorithm based on sliding time windows is employed to discover spatio-temporal teleconnection patterns. Experiments on sea surface temperature, sea level pressure, land precipitation and land temperature datasets show that many patterns obtained by the multi-scale approach are coincident with prior knowledge, indicating that this method is effective and reasonable. In addition, some unknown teleconnection patterns discovered from the multi-scale approach can be further used to guide the prediction of land climate.

多源知识图谱事件知识融合方法研究

以事件为中心的动态知识对事件预测等应用至关重要,但现有知识图谱主要关注以实体为中心的静态知识,难以满足需求。本文提出一种融合多源知识的高质量事件知识图谱构造方法,首先定义全局事件模式,利用标签类别从源知识图谱中提取事件知识并构造临时事件知识图,提出关系扩充规则对临时事件知识图进行扩充,改进实体对齐Attce模型,基于TransD模型对多个临时事件知识图进行联合嵌入学习,以提高实体对齐和冲突发现的效率;利用事件描述完整度计算源知识图谱可信度,发生冲突时作为判别标准进行处理。经过在真实数据集上的实验,验证了该方法的准确性和有效性。

1966—2018年岷江流域极端气温事件时空变化特征

在全球变暖背景下,极端气候事件问题逐渐显著,岷江流域作为川滇生态屏障区的重要组成部分,受气候变化的影响较大,研究该流域极端气候事件时空变化规律,能为未来气象灾害防治等提供科学依据。基于1966—2018年岷江流域62个气象站点的气温资料,选用“气候变化检测和指标”专家组所确定的16个极端气温指数,采用一元回归方程、Sen斜率、反距离权重空间插值法和Mann-Kendall检验法分析极端气温指数的时空变化规律。结果显示:岷江流域极端气温事件存在明显的时间变化特征,并且变化趋势在空间分布上存在一定的差异性。结果表明:(1)岷江流域极端高温事件显著增加,极端低温事件显著减少;极端气温指数的突变年份主要集中在1990—2000年左右,其中极端低温指数均在突变后呈现显著下降趋势,极端高温指数、极值指数、其他指数中除了日较差指数,均在突变后呈显著上升趋势;(2)极端低温指数在流域内大部分地区呈下降趋势,平均年变化率为-0.98 d·(10a)^(-1);极端高温指数、极值指数和作物生长期指数大部分地区呈上升趋势,其中极端高温指数上升趋势在流域内呈西低东高的分布,作物生长期指数在流域内呈北高南低的分布;日较差指数在流域上游地区呈下降趋势,中下游地区呈上升趋势。

危机事件冲击下重庆城市旅游景区的韧性格局及其影响因素

基于新冠疫情前后重庆城市旅游景区网络点评数据,从抵抗力、恢复力、适应力3个层面测量景区韧性水平,并综合运用多种地理分析方法探讨旅游景区的韧性格局变动规律和影响因素。结果表明:(1)城市外围区域的旅游景区韧性最强,是新冠疫情下旅游客流重新分配的最大受益者。城市核心区域抵抗力弱,但适应力较强;中间过渡区域韧性最弱,受疫情影响最为严重。(2)旅游景区的抵抗力和恢复力空间自相关关系明显,且抵抗力正向影响恢复力的变化。适应力的空间相互依赖关系较弱,旅游景区可能摆脱前期不利的区域锁定局面。(3)城市旅游景区韧性格局受资源因素、市场因素和区位因素的影响。在危机冲击的不同阶段,影响因素内部各因子的作用强度差异及其因子间的交互作用变化导致了差异化的韧性格局。

分布式随机离散事件系统的模式故障安全诊断

现有分布式随机离散事件系统的研究都集中在单个事件导致的故障上,然而许多实际应用系统所发生的故障往往是由一系列事件相继发生而导致的。针对此类故障的检测问题,本文提出了一种随机离散事件系统的模式故障安全协同诊断方法。首先,对分布式随机离散事件系统的模式故障安全协同可诊断性进行了形式化。然后,通过构造模式故障安全协同诊断器,提出了一个基于安全协同诊断器的分布式随机离散事件系统的模式故障安全协同可诊断性的充要条件,实现了分布式随机离散事件系统的模式故障安全诊断。

基于听觉融合特征的多声音事件检测

为提高多声音事件检测任务的性能,本文深入研究速动压缩非对称谐振器级联CARFAC数字耳蜗模型,并提出了基于听觉融合特征的多声音事件检测方法 .该方法首先利用CARFAC提取混叠声音的神经活动模式图NAP,然后将NAP与GFCC拼接后生成融合听觉特征,并将其送入CRNN神经网络进行全监督学习,以实现对城市声音事件的检测.实验表明,在低信噪比且重叠事件较多的情况下,融合听觉特征较单独的NAP、MFCC以及GFCC等特征具有更好的鲁棒性和多声音事件检测性能.

公共卫生事件处置中以心理安抚为基础的政府热线工作模式探讨

本文总结2020—2022年新冠疫情期间,上海市卫生热线逐步明确并构建以个体需求出发进行公众情绪安抚的工作模式,在此基础上传达科学信息、收集分析公众诉求,为主管部门决策提供帮助,不断提升市民服务热线等政府热线的应急能力建设。

Spatiotemporal Evolution of Waterlogging Events in Eastern China from 1961 to 2016

In this study, based on the data on the frequency of waterlogging events and the number of waterlogging days of 1,638 stations from 1961 to 2016, a variety of mathematical statistics methods were used to analyze the spatiotemporal evolution of waterlogging events in eastern China. The results showed that:① In terms of time, the annual frequency of waterlogging events and the number of waterlogging days in eastern China in 1961–2016 showed an increasing trend despite of fluctuations. In the interdecadal changes, the highest frequency of waterlogging events and the greatest number of waterlogging days occurred in the 1990s, and from the 1960s to the 1980s, the frequency of waterlogging events and the number of waterlogging days in eastern China showed a decreasing trend. There were 6-year and 30-year periodic variations in the frequency of waterlogging events and the number of waterlogging days in eastern China, and mutations occurred in 1991.② In terms of space, from 1961 to 2016, the areas with high frequency of waterlogging events in various years in eastern China were mainly South China, western and southern Yunnan, northern Jiangsu, southern Zhejiang, northern Fujian, junction areas between Hunan and Chongqing, northern Sichuan, and eastern Liaoning.③ In the spatial distribution of change trends and fluctuation characteristics, the frequency of waterlogging events and the number of waterlogging days in eastern China increased significantly in the southeastern coastal areas from 1961 to 2016, and the fluctuations of the frequency of waterlogging events and the number of waterlogging days in eastern China from 1961 to 2016 presented a spatial variation pattern of low in the southwest and high in the northwest.

Event-based Implicit Invocation Decentralized in Ada

Nowadays more and more attraction is drawn by the event based implicit invocation one of useful architectural patterns, because of its loose coupling between components in the architecture and reactive integration in software systems. Analyzing object oriented interaction with objects, this paper, based upon the principle of software architecture, presents an approach on event based object model with Ada exception handler. Consequently it is possible for us to improve, with adding specific architectural patterns, traditional programming languages into architectural description languages.

汉语谓词性成分连用的参照模式新探——以“V着玩”为例

超常规组配“V着玩”结构在论元实现、构件选择和语义解读上与普通“V着V”结构存在显著差异,构成对已知汉语谓词性成分连用组配的挑战。本文在形式类型学的框架下,提出“玩”为参照视点事件,在句法上占据视点核心的指示语位置,抑制宾语在V后直接实现;在语义上贡献娱乐和不严肃的意义。超常规组配实为普遍参照模式下的过渡态组配,自然语言的时间参照与事件参照系统呈现井然有序的对立格局。

小麦TaBTLs基因家族全基因组鉴定与表达模式分析

【目的】鉴定和分析小麦TaBTLs基因家族成员。【方法】通过生物信息学方法,分析小麦TaBTLs家族成员的数量、生化性质、基因结构、共线性关系、系统进化关系和启动子顺式作用元件;利用小麦RNA-Seq数据,分析TaBTL基因在不同组织器官和发育时期的表达模式以及对非生物胁迫的响应水平。【结果】小麦共有35个TaBTLs基因家族成员,所有成员均含RING-H2和BZF保守结构域,相对分子量介于29.64~45.16 ku之间。TaBTLs基因分布在除2A、2B和2D染色体以外的所有染色体上,且各成员之间存在大量重复事件。不同物种间BTLs基因分为7个亚族。TaBTLs基因在启动子区域存在大量的植物生长发育和逆境响应顺式作用元件;该基因家族成员在不同的组织和器官中广泛表达,并且受盐和干旱胁迫诱导。【结论】研究结果为阐明TaBTLs基因家族的进化关系和进一步研究其家族成员的功能提供理论依据和前期工作基础。

基于共空间模式和功率谱密度的脑电信号分类

由于单一域缺少其他相关信息而导致运动想象分类准确率不高和泛用性差,本文研究设计了基于空间域和频域的运动想象分类方法。根据运动想象执行时的对侧映射机制以及事件相关同步和事件相关去同步的现象,对C3和C4通道数据进行共空间模式和功率谱密度特征提取和融合,然后使用网格搜索参数优化的支持向量机对运动想象的脑电信号进行分类。结果表明共空间模式和功率谱密度的融合特征,解决了共空间模式对噪声敏感以及缺少频率特征信息的缺点,实现了更高的分类结果和泛化性,分类准确率达91.3%,验证了该方法的有效性。

事件抽取研究综述

事件抽取是构建事理图谱的重要环节。近年来,由于深度学习的不断发展,对事件抽取的研究产生了重要的影响,利用深度学习技术进行事件抽取已然成为当前主流的事件抽取方法。该文对当前的事件抽取方法进行归纳总结,囊括了融合深度学习方法之后的最新研究成果,以期为该领域的深入研究提供参考。首先,简要叙述事件抽取的主要任务和效果评测指标。接着,对现有的两种事件抽取方法,即基于模板匹配的方法、基于机器学习的方法(基于浅层机器学习和基于深度学习),进行了详细介绍。最后,总结事件抽取现阶段的挑战以及未来的发展趋势。研究表明:随着深度学习的蓬勃发展,事件抽取存在的技术难题不断得到解决,将深度学习技术应用到事件抽取任务以提升抽取性能已是大势所趋。

跨组织业务流程模型挖掘与质量评估

跨组织业务流程需要多个组织相互配合,协同工作来完成一项由单个组织无法完成的任务.由于跨组织业务流程的复杂性与分布性,其建模与分析过程是一项耗时且容易出错的任务,要求建模人员拥有丰富的经验和行业知识.流程挖掘通过分析业务信息系统执行过程中产生的日志为模型构建提供了一种自动化方法.然而,传统的流程挖掘技术仅支持单个组织的日志挖掘,无法有效地处理跨组织业务流程挖掘问题.本文针对此问题提出一种跨组织业务流程模型挖掘方法.首先扩展已有的流程挖掘方法来进行单个组织的业务流程模型挖掘;其次,定义组织间三种典型的协同模式,并提出相应算法以挖掘组织间的协同模式;再将各个组织的流程模型和协同模式集成,得到全局跨组织业务流程模型;最后采用传统的质量评估指标和提出的协同模式拟合度来量化发现的跨组织业务流程模型质量,通过四个不同的跨组织业务流程案例与已有挖掘方法进行比较,验证本文提出挖掘方法的有效性和可用性.

城市绿地率空间分异格局及演变规律仿真

为了更好地维持城市绿地系统的稳定,获取城市绿地率演变规律特征,提出城市绿地率空间分异格局及其演变规律模拟方法。预处理遥感数据,基于数据处理结果提取城市绿地率空间分异格局特征;通过城市绿地斑块之间的连通关系构建绿地连通图,采用邻近事件矩阵统计绿地连通空间的排列特征,获取城市绿地率演变规律。将得到的全部特征输入到Matlab仿真软件中展开仿真分析,经实验测试结果证明,所提方法可以获取满意的模拟结果,演变规律模拟效率与精度较高。

分布式模糊离散事件系统的模式故障安全诊断

本文研究分布式模糊离散事件系统的模式故障安全诊断问题,提出一种基于模式故障安全协同诊断器的模式故障安全诊断方法。先在模糊离散事件系统中引入模式故障和模式故障安全诊断概念。然后对模糊离散事件系统的模式故障安全协同可诊断性进行了形式化定义。为了进一步验证分布式模糊系统的模式故障安全诊断性,构建了一个模式故障安全协同诊断器,并提出了一个关于分布式模糊离散事件系统的模式故障安全诊断的充分必要条件,实现了分布式模糊离散事件系统的模式故障安全诊断。