侵权诉讼的膨胀及对策

侵权纠纷是民事诉讼机制解决的主要对象。随着社会的发展,侵权案件逐渐增多,过量的侵权诉讼会带来很多不良后果,不仅是对法律制度本身的损害,更对经济发展产生严重的负面影响。要解决侵权诉讼的膨胀问题,必须找到控制侵权诉讼的正确途径。     

Prediction of tumour pathological subtype from genomic profile using sparse logistic regression with random effects

The purpose of this study is to highlight the application of sparse logistic regression models in dealing with prediction of tumour pathological subtypes based on lung cancer patients'' genomic information. We consider sparse logistic regression models to deal with the high dimensionality and correlation between genomic regions. In a hierarchical likelihood (HL) method, it is assumed that the random effects follow a normal distribution and its variance is assumed to follow a gamma distribution. This formulation considers ridge and lasso penalties as special cases. We extend the HL penalty to include a ridge penalty (called ‘HLnet’) in a similar principle of the elastic net penalty, which is constructed from lasso penalty. The results indicate that the HL penalty creates more sparse estimates than lasso penalty with comparable prediction performance, while HLnet and elastic net penalties have the best prediction performance in real data. We illustrate the methods in a lung cancer study.     

Behavior Management of Client Contacts in a Real Estate Brokerage

A Project intended to increase client-contacting behavior on the part of 16 real-estate sales persons was described. Both contacts with prospective (initials) and with established clients (followups) were targeted for change. During a 20-week baseline, agent self-reports were used as a basis for posting weekly charts of contact behavior together with measured sales and listing performances. A conjunctive token-reinforcement procedure involving both contact behaviors was introduced during a 15 week intervention phase. For all agents as a group, a sustained increase in both behaviors was noted during this phase. Additional analyses revealed, however, that for low baseline performers, the intervention effect was only short-lived. During a subsequent three-week prewithdrawal stage, the increased behavion from the previous phase reverted nearly to baseline levels, despite the continued intervention, in response to instructions that program withdrawal was imminent. Contact behaviors further declined to below baseline levels during the following 4-week withdrawal stage when both posting and token procedures were actually discontinued. A tenninal 6 week reversal phase was marked by a nearly full recovery for all agents of asymptotic intervention levels of contact behavior under a reversed conjunctive token reinforcement schedule. Evidence indicating a correlation between changes in contact behaviors and changes in sales was presented. Also, other company benefits presumably derived from the program were described. Finally, the outcomes of this study were discussed in terms of several important validity concerns.     

Forecasting lead times with economic data

Procurement lead time estimates are critical factors in production planning; however, they are generally based on a buyer's experience. The Westinghouse Corporation developed a linear model which successfully predicted procurement lead times for hot and cold rolled steel. This paper discusses nine models which use utilization and inventory data to predict lead time planning factors for aluminum, magnesium, steel and titanium products. The Lockheed-Georgia Company, which produces aerospace products, provided data for this research. The functional form of the models is significant and suggests that a nonlinear transformation of utilization based upon simple queueing models is a significant predictor of lead time duration.     

一个不容忽视的事实──城市绝对贫困现象研究

随着下岗现象的继续增多,城市贫困问题也越来越普遍。在诸多对贫困现象的研究中,人们的视线似乎主要集中在相对贫困上,忽视了城市中的绝对贫困。我们通过对南京市建邺区的调查认为,在整个社会发展、绝大多数居民生活有大幅度提高之同时,城市尚存在着为数不少的生活几无着落的绝对贫困者。对他们可以从绝对贫困线和现实生活状况两方面来加认定。绝对贫困者已形成了城市中的特殊弱势群体,必须多方面综合加以解决。     

跨国公司扩大对华R&D投资的影响与对策

跨国公司在华R＆D投资的发展会对我国的企业、产业、技术创新和技术进步带来什么样的影响?能否达到我国吸引跨国公司R＆D投资所期望的战略目标和层次?这是人们所普遍关心和想深入了解的一个问题。本文探讨了跨国公司在华R＆D投资的内在动因与挑战问题;分析了我国吸引跨国公司R＆D投资的多重需求和效应;提出了促使我国吸引跨国公司R＆D投资有效目标实现的应对策略。     

强正相依随机变量列的强大数定律和强收敛速度

利用强正相依（SPD）随机序列的一些矩不等式,得到了关于强正相依（SPD）随机序列的强大数定律和强收敛速度的一些新结果。     

锂离子二次电池正极材料尖晶石型LiMn_2O_4的研究进展

近年来,锂离子电池因其优异的特性,发展十分迅速。锂离子电池的优异性能与电池的材料选择,材料的制备工艺等密切相关。正极材料LiMn2O4是近几年锂离子电池研究的热点,但其在循环过程中的容量衰减是制约锂离子电池商品化的关键。本文介绍了不同正极材料的结构、电化学性能、研究现状,侧重于阐述控制锂离子电池循环过程中可逆嵌锂容量和稳定性的嵌锂电极材料的结构性质。     

区域主导产业评价指标与数学模型

以现有研究成果为基础,建立了区域主导产业评价指标体系;基于灰色聚类的思想,提出了评价区域主导产业优度的数学模型-定权聚类评估模型,并对河南省武陟县工业主导产业选择进行了实证研究。     

Max-min DEA模型及效率讨价还价均衡解

建立一类新的DEA模型,即Max-min DEA模型.该模型通过最大化最小效率单元的效率,结合了自评与互评的思路,在一定程度上克服了仅仅采用自评思想的经典DEA模型的缺陷.文中Max-min均衡模型问题在于保护“弱小”单元的同时,有可能损害其它单元的效率.为克服该问题,文章通过Nash讨价还价模型求解Max-min均衡模型与CCR模型的讨价均衡解.最后用算例进行了演示计算.