Semi-online scheduling with “end of sequence” information

We study a variant of classical scheduling, which is called scheduling with “end of sequence” information. It is known in advance that the last job has the longest processing time. Moreover, the last job is marked, and thus it is known for every new job whether it is the final job of the sequence. We explore this model on two uniformly related machines, that is, two machines with possibly different speeds. Two objectives are considered, maximizing the minimum completion time and minimizing the maximum completion time (makespan). Let s be the speed ratio between the two machines, we consider the competitive ratios which are possible to achieve for the two problems as functions of s. We present algorithms for different values of s and lower bounds on the competitive ratio. The proposed algorithms are best possible for a wide range of values of s. For the overall competitive ratio, we show tight bounds of ϕ + 1 ≈ 2.618 for the first problem, and upper and lower bounds of 1.5 and 1.46557 for the second problem. The authors would like to dedicate this paper to the memory of our colleague and friend Yong He who passed away in August 2005 after struggling with illness. D. Ye: Research was supported in part by NSFC (10601048).     

西部大开发战略实施的切入点——人力资本投资

以资源开发为中心的西部开发战略已不能适应当前形势发展的需要,西部大开发应依据人力资本理论制定相关政策,重视人力资本投资.西部地区贫困人口多,但拥有科技人才优势.应建立新型的贫困地区教育结构,提高贫困人口整体素质;同时发挥自身的人才优势,做好科技成果转化这篇文章.     

Human and organizational factors in offshore safety

The role of human and organizational factors in predicting accidents and incidents has become of major interest to the UK offshore oil and gas industry. Some of these factors had been measured in an earlier study focusing on the role of risk perception in determining accident involvement. The current study sought to extend the methodology by focusing on perceptions of organizational factors that could have an impact on safety. A self-report questionnaire was developed and distributed to 11 installations operating on the UK Continental Shelf. A total of 722 were returned (33% response rate) from a representative sample of the offshore workforce on these installations. The study investigated the underlying structure and content of offshore employees' attitudes to safety, feelings of safety and satisfaction with safety measures. Correlations and step-wise regression analysis were used to test the relationships between measures. The results suggest that 'unsafe' behaviour is the 'best' predictor of accidents/near misses as measured by self-report data and that unsafe behaviour is, in turn, driven by perceptions of pressure for production.     

“按说”的话语标记性及语篇功能

按说是一个话语标记,它通常关联三个语篇单位:A.陈述某个事实依据;B.依照常理推导出一个结论命题;C.陈述与此命题相反的另一事实。按说具有表示推测的传信功能,可靠性等级居中。在语篇中,有衔接AB和BC的功能,常常能起到承上启下的作用。     

院校研究开展外部管理咨询的探讨

目前中国院校研究正从“对象化”走向“实践化”，为数不多的院校研究实践都是一种内部管理咨询活动，是典型的自我研究。为了推进院校研究在中国取得新突破，院校研究在做好内部管理咨询的同时，也要尝试积极开展外部管理咨询，为外校提供专业水平的咨询服务。     

释甲骨金文中的“宜”字

甲骨金文中的“ ”应该释为“宜”，本义是陈肉之器。这种意义的“宜”用作动词，意思是把祭牲陈设到肉案上献给神灵，或把肉置放到肉案上献给尊贵的人。由动词的意义又引申有适宜、合适之义。它还有地名或国名、人名等用法。     

改变农民工弱势地位的理论研究——基于人力资源管理的视角

我国城乡二元体制的松动带来了农民工的流动。但是，这一体制的惯性作用仍在，并且影响着与农民工有关的管理制度：户籍制度并未对农民工的职业身份给予制度上的认可：就业制度、收入分配制度和教育制度在设计上仍然存在对农民工的歧视；社会保障制度并未针对农民工的特点做出相应安排；政府也未对市民对待农民工的态度做出正确的引导等。与农民工有关的政府管理制度的缺失与不公平导致了流动起来的农民工进城后处于弱势的地位。因而，笔者认为，人力资源管理理论对改变农民工的弱势地位这一问题具有有效性，以这种理论为基础构建的制度框架，将有助于改变农民工的弱势地位。     

试论我国行政事业单位人力资源管理的现状及对策

行政事业单位的管理水平对整个国民经济的发展有着重要的作用。目前我国人力资源管理还存在种种缺陷，为改变现状，从宏观上应改革现有的行政事业单位管理体制；从微观上对基层工作人员引入竞争机制，对中上层干部，实行终身雇佣制，同时应建立公平的干部选拔机制和合理的分配体制。     

Program Evaluation and Causal Inference With High‐Dimensional Data

In this paper, we provide efficient estimators and honest confidence bands for a variety of treatment effects including local average (LATE) and local quantile treatment effects (LQTE) in data‐rich environments. We can handle very many control variables, endogenous receipt of treatment, heterogeneous treatment effects, and function‐valued outcomes. Our framework covers the special case of exogenous receipt of treatment, either conditional on controls or unconditionally as in randomized control trials. In the latter case, our approach produces efficient estimators and honest bands for (functional) average treatment effects (ATE) and quantile treatment effects (QTE). To make informative inference possible, we assume that key reduced‐form predictive relationships are approximately sparse. This assumption allows the use of regularization and selection methods to estimate those relations, and we provide methods for post‐regularization and post‐selection inference that are uniformly valid (honest) across a wide range of models. We show that a key ingredient enabling honest inference is the use of orthogonal or doubly robust moment conditions in estimating certain reduced‐form functional parameters. We illustrate the use of the proposed methods with an application to estimating the effect of 401(k) eligibility and participation on accumulated assets. The results on program evaluation are obtained as a consequence of more general results on honest inference in a general moment‐condition framework, which arises from structural equation models in econometrics. Here, too, the crucial ingredient is the use of orthogonal moment conditions, which can be constructed from the initial moment conditions. We provide results on honest inference for (function‐valued) parameters within this general framework where any high‐quality, machine learning methods (e.g., boosted trees, deep neural networks, random forest, and their aggregated and hybrid versions) can be used to learn the nonparametric/high‐dimensional components of the model. These include a number of supporting auxiliary results that are of major independent interest: namely, we (1) prove uniform validity of a multiplier bootstrap, (2) offer a uniformly valid functional delta method, and (3) provide results for sparsity‐based estimation of regression functions for function‐valued outcomes.