让优良作风体现在执政为民上

坚持立党为公、执政为民是共产党人的根本要求,也是党员干部优良作风的具体体现。党员领导干部必须坚持以人为本,一心为民,把     

在加强同人民群众的血肉联系中体现党员先进性

十六届四中全会《决定》指出,提高党的执政能力的核心,是“保持党同人民群众的血肉联系”。这就需要党员领导干部按照立党为公、执政为民的根本要求。牢固树立全心全意为人民服务的思想和真心实意对人民负责的精神,坚持与人民群众同呼吸、共命运、心连心．做到权为民所用,情为民所系,利为民所谋．为群众诚心诚意办实事,尽心竭力解难事．坚持不懈做好事,把实现好、维护好、发展好最广大人民群众的根本利益作为保持共产党员先进性建设的出发点和落脚点,     

常修为政之德

常修为政之德,是胡锦涛总书记提出的一个十分重要而又具有长期性、基础性的课题。党员领导干部常修为政之德,就是要时刻牢记党的性质和宗旨,始终坚持立党为公、执政为民;就是要牢固树立正确的权     

党员领导干部要加强四项修炼

党的十八大报告指出,要"不断提高党的领导水平和执政水平、提高拒腐防变和抵御风险能力".实现这一重大目标,党员领导干部队伍建设是关键. 坚定的理想信念、强烈的责任意识、出众的领导才能,以及执政为民的鲜明取向、锐意进取的创新精神,是党员领导干部提高感召力、亲和力、公信力和推动科学发展能力的重要前提,也是增强党组织的向心力、凝聚力、战斗力和提高党的执政能力的动力之源.为此,党员领导干部必须不断加强政治修炼、学识修炼、作风修炼、纪律修炼四项修炼,始终保持先进性和纯洁性,在凝聚人心、服务群众、促进和谐、推动科学发展中建功立业.     

论新时期领导干部政治素质的提高途径

政治素质是领导干部能力素质的一个重要方面,是领导干部的第一素质,是领导干部政治合格的标志。新时期领导干部最主要的政治素质是要牢固树立和落实科学发展观和正确的政绩观。在国际形势纷繁复杂、国内改革与发展任务异常艰巨的情况下,领导干部要在“举什么旗、走什么路”这个原则问题上始终保持清醒的头脑,认真贯彻落实党的路线方针政策,要把握立党为公、执政为民的本质,把关心基层的工作做细做实,实事求是为人民办事,全心全意为人民服务。其基本要求是:坚持正确的政治方向和政治立场,要有政治敏锐性和政治鉴别力,要有高度的政治责任感。一、领导干部提高政治素质的紧迫性和重要性要实现经济和社会协调发展,推动物质文明和精神文明共     

领导干部怎样践行社会主义荣辱观

要在全社会大力弘扬社会主义荣辱观,关键在于领导干部要率先垂范,以身作则。“律己足以服人,量宽足以得人,身先足以率人”。领导干部自身的道德修养具有巨大的示范作用,党员领导干部的道德风貌直接影响和带动着整个社会的道德风尚。领导干部树立社会主义荣辱观,必须自觉地把树立和践行社会主义荣辱观与确立“立党为公、执政为民”的执政理念紧密结合,与科学执政、民主执政和依法执政紧密结合,与树立正确的权力观紧密结合,发挥执政党的示范引导作用。一、修身。修养与威信是领导干部的软实力,缺少软实力而仅靠硬权力,是不可能取得满意的施政…     

坚持以民为本 大兴为民之风

正人民是历史的创造者,群众是真正的英雄。习近平总书记指出,责任重于泰山,事业任重道远。我们一定要始终与人民心心相印、与人民同甘共苦、与人民团结奋斗,夙夜在公,勤勉工作,努力向历史、向人民交一份合格的答卷。领导干部要赢得群众的真心拥戴,就必须把以人为本、执政为民作为第     

领导干部要把立党为公执政为民落到实处

胡锦涛同志在今年的“七一”讲话中指出：“‘三个代表’重要思想的本质是立党为公、执政为民”，“坚持立党为公、执政为民，必须落实到各级领导干部的思想和行动中去。”作为县级领导，如何努力把立党为公、执政为民落实到具体的工作实践中去呢?我认为，应从以下几个方面去努力。     

领导干部如何做到务实

胡锦涛同志指出,各级领导干部必须坚持立党为公、执政为民,做到"为民、务实、清廉".笔者体会,为民之要在于务实,领导干部要做到务实,必须在以下三个方面下功夫.     

执政为民要以“为民“为出发点和落脚点

胡锦涛总书记强调指出:“三个代表”重要思想的本质是立党为公、执政为民。笔者体会,作为一名领导干部,在实践“三个代表”重要思想的过程中,必须切实以“为民”为出发点和落脚点。具体来说,就是要做到“三个坚持”。坚持群众利益至上,积极推进决策科学化、民主化。一是要深入基层调研,准确吃透“下情”。没有调查,就没有发言权。调查研究是正确决策的前提,是谋事之基、成事之道。我们在决策前,必须经常深入基层、深入实际,到群众中去,进行广泛的调查研究,准确全面地掌握工作中存在的困难和问题,倾听群众的意见和建议,集思广益,创新思路,为…     

Waiting for News in the Market for Lemons

We study a dynamic setting in which stochastic information (news) about the value of a privately informed seller's asset is gradually revealed to a market of buyers. We construct an equilibrium that involves periods of no trade or market failure. The no‐trade period ends in one of two ways: either enough good news arrives, restoring confidence and markets reopen, or bad news arrives, making buyers more pessimistic and forcing capitulation that is, a partial sell‐off of low‐value assets. Conditions under which the equilibrium is unique are provided. We analyze welfare and efficiency as they depend on the quality of the news. Higher quality news can lead to more inefficient outcomes. Our model encompasses settings with or without a standard static adverse selection problem—in a dynamic setting with sufficiently informative news, reservation values arise endogenously from the option to sell in the future and the two environments have the same equilibrium structure.     

Physician buy-in is essential for pay for performance

Blue Cross and Blue Shield of Florida is counting on voluntary participation as it rolls out its innovative pay-for-performance program throughout the state.     

Tolerance for Failure and Incentives for Collaborative Innovation

Most organizations employ collaborative teams to manage innovation projects. Although the use of collaborative innovation teams is a good starting point, an organization's ability to innovate can be enhanced by managing risk‐taking behavior through monetary incentive schemes and through an organizational culture that tolerates failure. This article reports the results of two controlled experiments aimed at understanding how tolerance for failure and incentives impact the decisions of individuals engaged in a collaborative innovation initiative. A key element of our experiments is the notion of endogenous project risk, which we define as the explicit link between resources allocated to a project and the likelihood of project success. We observe that when penalties are low, the amount of risk an individual assumes is fairly insensitive to the rewards that are offered. In an analogous result, when individuals make decisions alone (rather than collaboratively), higher tolerance for failure does little to increase the amount of risk an individual is willing to take. Taken together, these results highlight the importance of implicit incentives that are created as a result of project and organizational characteristics.     

Multi-phase Algorithms for Throughput Maximization for Real-Time Scheduling

We consider the problem of off-line throughput maximization for job scheduling on one or more machines, where each job has a release time, a deadline and a profit. Most of the versions of the problem discussed here were already treated by Bar-Noy et al. (Proc. 31st ACM STOC, 1999, pp. 622–631; http://www.eng.tau.ac.il/amotz/). Our main contribution is to provide algorithms that do not use linear programming, are simple and much faster than the corresponding ones proposed in Bar-Noy et al. (ibid., 1999), while either having the same quality of approximation or improving it. More precisely, compared to the results of in Bar-Noy et al. (ibid., 1999), our pseudo-polynomial algorithm for multiple unrelated machines and all of our strongly-polynomial algorithms have better performance ratios, all of our algorithms run much faster, are combinatorial in nature and avoid linear programming. Finally, we show that algorithms with better performance ratios than 2 are possible if the stretch factors of the jobs are bounded; a straightforward consequence of this result is an improvement of the ratio of an optimal solution of the integer programming formulation of the JISP2 problem (see Spieksma, Journal of Scheduling, vol. 2, pp. 215–227, 1999) to its linear programming relaxation.     

Accounting for inflation: The need for action

The article was prepared at a time when the business community still seemed very uncertain about the significance of changing price levels in relation to accounting statements. Those, including the author, who believed that the unadjusted figures being produced in company revenue accounts and balance sheets gave potentially misleading information sought in various ways, mainly in books and articles, to give greater awareness of the problem. The author's contribution was designed to demonstrate, simply and unequivocally, how business capital, in real terms, is liable to be eroded in periods of rising prices.     

A conceptual framework for evaluating designs for corporate innovation

Innovation is becoming mandatory for an increasing number of organizations in order to sustain competitive advantage. This paper explores how designs for corporate entrepreneurship fit within other dimensions of a strategy configuration. To do this, first, seven innovation-related problems are diagnosed. The specific problem patterns arising in three representative approaches to corporate innovation efforts (internal research and development, joint ventures, and acquisition) are discussed. Next, issues related to strategy configuration are examined. The problem-accommodating characteristics associated with specific environmental domain choices and with two routes to competitive advantage are proposed. Hypotheses that reflect the problem characteristics of innovation approaches with the problem propensities resulting from organizational choices of domain and competitive advantages are offered. Specific directions for future research, as well as the practical applications of these concepts, are discussed.     

面向第4方物流的多代理人作业整合优化算法

物流作业整合是现代物流方法中减少物流成本的主要手段.在综合考虑代理商选择和线路优化两问题的基础上,建立了基于图状结构的面向第4方物流的多代理人作业整合优化模型.为了避免将代理商选择和线路优化作为两个互相分离的子问题来处理,提出了求解它的两层邻域搜索算法.第1层采用了转移、交换和环形移动3种移动策略求解作业在代理商之间的分配,而在第2层提出了路合并、路生成替换策略,形成了适于该问题的优化算法.随机产生20例算例,将两层邻域搜索算法的计算结果与基于k-最短路的枚举算法的计算结果进行比较,说明了该算法的可行性和有效性.     

群体性上访事件的成因及化解方式

近年来,随着工业化加快转型、城市化加速推进和各项改革的深入推进,由于生产生活方式和利益格局发生重大调整而引发的群体性事件呈逐年增多态势,已成为困扰各级党委、政府的普遍性问题.结合工作实践.笔者对各地中心城区群体性事件进行了归纳总结.提出一些个人看法.     

Comparing Experimental Designs for Benchmark Dose Calculations for Continuous Endpoints

The BMD (benchmark dose) method that is used in risk assessment of chemical compounds was introduced by Crump (1984) and is based on dose-response modeling. To take uncertainty in the data and model fitting into account, the lower confidence bound of the BMD estimate (BMDL) is suggested to be used as a point of departure in health risk assessments. In this article, we study how to design optimum experiments for applying the BMD method for continuous data. We exemplify our approach by considering the class of Hill models. The main aim is to study whether an increased number of dose groups and at the same time a decreased number of animals in each dose group improves conditions for estimating the benchmark dose. Since Hill models are nonlinear, the optimum design depends on the values of the unknown parameters. That is why we consider Bayesian designs and assume that the parameter vector has a prior distribution. A natural design criterion is to minimize the expected variance of the BMD estimator. We present an example where we calculate the value of the design criterion for several designs and try to find out how the number of dose groups, the number of animals in the dose groups, and the choice of doses affects this value for different Hill curves. It follows from our calculations that to avoid the risk of unfavorable dose placements, it is good to use designs with more than four dose groups. We can also conclude that any additional information about the expected dose-response curve, e.g., information obtained from studies made in the past, should be taken into account when planning a study because it can improve the design.