仁怀：疫情防控战中的老党员

在全面打响新型冠状病毒感染的肺炎疫情防控战以来,仁怀市精心组织,发动全市离退休党员干部,一起吹响了疫情抗击战的号角,他们用自己行动诠释了一名老党员火红的初心。仁怀市委组织部发出《关于做好全市离退休干部防控新型冠状病毒感染的肺炎疫情工作的通知》、“市民个人防护十个注意”、“致全市离退休干部的倡议书”等宣传资料,提高老干部参与防控疫情的凝聚力,积极引导他们发挥自身正能量,积极参与到疫情防控工作中。     

在中央政治局常委会会议研究应对新型冠状病毒肺炎疫情工作时的讲话

武汉新型冠状病毒肺炎疫情发生后,1月7日,我主持召开中央政治局常委会会议时,就对新型冠状病毒肺炎疫情防控工作提出了要求。1月20日,我专门就疫情防控工作作出批示,指出必须高度重视疫情,全力做好防控工作,要求各级党委和政府及有关部门把人民群众生命安全和身体健康放在第一位,采取切实有效措施,坚决遏制疫情蔓延势头。1月22日,鉴于疫情迅速蔓延、防控工作面临严峻挑战,我明确要求湖北省对人员外流实施全面严格管控。正月初一,我再次主持召开中央政治局常委会会议,对疫情防控特别是患#治疗工作进行再研究、再部署、再动员,并决定成立中央应对疫情工作领导小组。     

黔东南州

黔东南州委组织部到疫情防控执勤点看望慰问一线干部职工2月12日,黔东南州委组织部副部长、州委老干部局局长王万敏,州委老干部局副局长冯伟一行到州委老干部局疫情防控执勤点看望慰问一线干部职工,并送去口罩、防护服和消毒液等防护用品。州委老干部局副局长、疫情防控执勤工作组长吴素萍详细汇报了疫情防控工作情况,重点介绍了掌握“重点人群”并建立排查信息台账、开展疫情防控知识宣传、对小区进出人员及车辆进行检测登记等具体工作任务情况。     

为了春暖花开——贵州省老干部积极助力打赢疫情防控阻击战

新型冠状病毒感染的肺炎疫情发生以来,疫情牵动着全国人民的心,也牵动着贵州省广大老干部的心。共克时艰战疫情,贵州老干部在行动,他们用心用情积极发挥正能量,用初心和使命诠释老干部的责任和担当。     

战“疫”面前不打折

面对突如其来的新冠肺炎疫情,七台河工会人不忘初心,牢记使命,勇于担当,敢于作为,他们用自己的实际行动在阻击疫情的战疫中诠释了工会人应该这样做。关爱抗疫白医天使疫情来的那么急,医护人员来不及准备,来不及和家人告别,就匆匆忙忙的进了隔离病房,一去就是20多天!但是他们明白:覆巢之下,岂有完卵?只有自己冲锋在前,老百姓才能安全。     

基于vSEIdRm模型的人口迁移以及离汉交通管控对新冠肺炎疫情发展的影响分析

不同于传统( Susceptible-Exposed-Infected-Removed)SEIR流行病传播动力学模型,本文在近期研究的Varying Coefficient Susceptible-Exposed-Infected-Diagnosed-Removed (vSEIdR)模型基础上加上人口迁徙(Migration) 模块,设计开发了vSEIdRm模型,该模型考虑了跨区域人口迁徙对疫情传播的影响,并允许流行病传播参数随时间变化。本文首先对人口迁移数据进行统计分析,建立其与各省新冠肺炎疫情发展的联系。之后,基于vSEIdRm模型估计了疫情初期各省份来自武汉的输入病例数,并定量刻画了离汉交通管控的效果。研究结果显示,离汉交通管控措施有效地减少了各省份的疫情规模。     

黔西南州委老干部局再安排部署新冠状肺炎疫情防控工作

为切实做好应对新型冠状病毒感染的肺炎疫情防控工作。2月11日下午,州委组织部副部长、州委老干部局局长鲁永明主持召开局务会议,认真学习贯彻习近平总书记重要指示精神和中央、省、州对疫情防控工作的新部署新要求,对州局应对新型冠状病毒肺炎疫情防控工作进行专题研究,对疫情防控有关工作再部署、再要求、再推进、再落实。     

城市网络位置与疫情风险

作为重大突发公共卫生事件,传染病疫情风险是一个值得关注的前沿新论题。本文从一个较新的网络拓扑视角,以新冠肺炎疫情为例,构建了一个由病毒感染人群流动形成的城市间疫情关联网络,并探讨了城市在疫情关联网络中的位置对其疫情风险的影响。研究发现,城市之间的传染病疫情呈现出紧密的网络关联性;疫情的风险程度与城市在疫情关联网络中的位置密切相关,处在网络重要位置的城市与其他城市关联度较高,从而面临更大的疫情风险,这一点在针对城市群和交通枢纽聚集性感染风险研究中尤为突出。拓展分析表明,城市网络中心度具有疫情扩散风险放大效应,关闭离汉通道措施有助于降低城市在疫情关联网络中的核心位置对本城市疫情风险的影响。     

防疫期，老年人的一天怎么度过？

新冠肺炎疫情的突袭打乱了不少老人的生活,不能外出活动、聚会,宅在家中不免无聊。如何才能让这段特殊时期的生活健康又有趣味?中日友好医院老年病科主任医师李海聪用6句顺口溜,指导老年朋友合理安排疫情期间的生活。享受美食重营养,早睡早起益身心。     

浅谈对在职职工实施计算机继续教育

当今是信息爆炸的时代，知识的更新换代周期进一步缩短，尤其计算机技术，因此需要人们不断的再学习，以便紧跟时代的步伐。在职职工中虽然大多数在求学期间都学习过计算机，但知识已完全老化，无法紧跟时代发展的要求，需要大规模地进行计算机继续教育工程。下面对计算机继续教育的实施发表一些拙见，供同仁们参考。一、现行计算机继续教育过程中的误区由于大家对计算机方面知识的缺乏，在职职工计算机继续教育过程中还存在有许多误区，具体表现为以下四个方面：1、认为学习计算机必须先学打字用计算机打字做文稿编辑只是计算机的一种功能…     

Interactive graphics in a ternlhal-equlated classroom

Interactive computing is being used effectively as a teaching aid in mathematics classes at the University of Waterloo. Various courses, especially in statistics and computer science, are in¬volved* In this papers the configuration o£ equipment in trie terminal-equipped classroom, and an Interactive statistical graphics program package used for teaching, are described     

Using multivariate rank sum tests to evaluate effectiveness of computer applications in teaching business statistics

Arguments about using computer facilities in classroom teaching have received a lot of attention over time. Using the computer facilities will be helpful to demonstrate real-world applications, while poor data or inappropriate case studies might hinder the applications of the computer programs in classroom teaching. In this paper, we examine the impacts that using computer programs to teach business statistics have on students in the Krannert School of Management at Purdue University. The results show that students are attracted to the interactive computer programs designed for the business statistics course, and students are more motivated to attend classes when computer programs are applied in teaching. Furthermore, computer programs help students to understand confusing topics, and students feel that teaching them to use computer facilities really improves their own abilities to apply similar programs in analyzing real-world problems.     

Some Uses for Distribution-Fitting Software in Teaching Statistics

Statistics courses now make extensive use of menu-driven, interactive computer software. This article presents some insight as to how a new class of PC-based statistical software, called “distribution-fitting” software, can be used in teaching various courses in statistics.     

Bias in Routine Calculation of the Variance of OLS Estimators When the Disturbances are Autocorrelated

In this article a sequence of statistical games is described that were found useful for teaching statistics to agriculture students. The ideas of experimental design tend to be neglected in statistics service courses for agriculturalists because of the practical difficulty of allowing students to learn design by experience. Simulating experiments in the classroom or on the computer console is a viable alternative and should be more widely used. In this article, three games—TOMATO, CHICK, and SELECT—are described. Other games can be invented. The relevance of using games extends to fields other than agriculture.     

Smooth supersaturated models

In areas such as kernel smoothing and non-parametric regression, there is emphasis on smooth interpolation. We concentrate on pure interpolation and build smooth polynomial interpolators by first extending the monomial (polynomial) basis and then minimizing a measure of roughness with respect to the extra parameters in the extended basis. Algebraic methods can help in choosing the extended basis. We get arbitrarily close to optimal smoothing for any dimension over an arbitrary region, giving simple models close to splines. We show in examples that smooth interpolators perform much better than straight polynomial fits and for small sample size, better than kriging-type methods, used, for example in computer experiments.     

Application of numerical interval analysis to obtain self-validating results for multivariate probabilities in a massively parallel environment

Conventional computations use real numbers as input and produce real numbers as results without any indication of the accuracy. Interval analysis, instead, uses interval elements throughout the computation and produces intervals as output with the guarantee that the true results are contained in them. One major use for interval analysis in statistics is to get results of high-dimensional multivariate probabilities. With the efforts to decrease the length of the intervals that contain the theoretically true answers, we can obtain results to any arbitrary accuracy, which is demonstrated by multivariate normal and multivariate t integrations. This is an advantage over the approximation methods that are currently in use. Since interval analysis is more computationally intensive than traditional computing, a MasPar parallel computer is used in this research to improve performance.     

Estimation across multiple models with application to Bayesian computing and software development

Statistical models are sometimes incorporated into computer software for making predictions about future observations. When the computer model consists of a single statistical model this corresponds to estimation of a function of the model parameters. This paper is concerned with the case that the computer model implements multiple, individually-estimated statistical sub-models. This case frequently arises, for example, in models for medical decision making that derive parameter information from multiple clinical studies. We develop a method for calculating the posterior mean of a function of the parameter vectors of multiple statistical models that is easy to implement in computer software, has high asymptotic accuracy, and has a computational cost linear in the total number of model parameters. The formula is then used to derive a general result about posterior estimation across multiple models. The utility of the results is illustrated by application to clinical software that estimates the risk of fatal coronary disease in people with diabetes.     

层次分析法中判断矩阵的改进

通过引入计算数学迭代的思想,对层次分析法中的判断矩阵进行调整改进。使某些不能通过一致性检验的判断矩阵,重新通过检验,并用VisualBa8ic语言来实现这一过程。通过计算机的使用,使得这一方法变得方便、实用。最后,给出一简单实例来证明此方法的可行性。     

基于分层模型的缺失数据插补方法研究

大规模抽样调查多采用复杂抽样设计,得到具有分层嵌套结构的调查数据集,其中不可避免会遇到数据缺失问题,针对分层结构含缺失数据集的插补策略目前鲜有研究。本文将Gibbs算法应用到分层含缺失数据集的多重插补过程中,分别研究了固定效应模型插补法和随机效应模型插补法,进而通过理论推导和数值模拟,在不同组内相关系数、群组规模、数据缺失比例等情形下,从参数估计结果的无偏性和有效性两方面,比较不同方法的插补效果,给出插补模型的选择建议。研究结果表明,采用随机效应模型作为插补模型时,得到的参数估计结果更准确,而固定效应模型作为插补模型操作相对简便,在数据缺失比例较小、组内相关系数较大、群组规模较大等情形下,可以采用固定效应插补模型,否则建议采用随机效应插补模型。     

An Algorithmic Approach to Elementary ANOVA

An elementary approach to the analysis of variance for balanced designs is sketched and illustrated with an analysis of a repeated measures design. The approach is based on a conceptually simple algorithm that computes the usual linear decomposition of the data by repeatedly calculating and removing averages for groups of observations corresponding to the sources of variation in the design. An interactive computer program, written in Applesoft Basic, is available for use in teaching the algorithm.