高等学校发展的战略选择:保守与创新

高等学校从产生的那一天起就面临着保守与创新的选择,但在近代化之前,高等学校远离社会而固守自己的象牙塔之时,这种选择的艰难性并不突出。当人类社会进入知识经济时代,高等学校所面临的选择就变得十分艰难。因此,正确处理好保守与创新的关系,是当代高等学校的重大战略决策,我国高等学校正处在这个关键时期。     

社会转型期新生代员工工作不安全感问题

作为当前核心人力资源的新生代员工,其在社会剧烈转型过程中产生的工作不安全感问题引发社会各界广泛关注。新生代员工工作不安全感具有明显的时代特征,它的形成既与员工个性特征有关,也受外部经济环境、组织环境以及家庭环境等因素的影响。强烈的工作不安全感会对新生代员工的组织承诺、离职率、组织公民行为甚至创新能力等带来诸多负面影响,组织管理者必须采取适当措施有效管理新生代员工的工作不安全感问题,实现员工与组织的和谐发展。     

“十五年一贯制”的学校培养人才路径探索

“十五年一贯制”学校是顺应基础教育改革而出现的适合社会发展的新兴联合学校,其肩负着创新型人才培养的重要任务.通过对应试教育弊端的反思和探索,对基础教育多元创新发展的可能性探讨,最终从先进的教育理念是创新人才培养的灵魂、多元的教育教学是核心、“一贯制”教育制度是保障、现代信息技术是手段等角度探索出“十五年一贯制”学校培养未来拔尖创新人才的现实路径.     

A Diversity Index for Model Space Selection in the Estimation of Benchmark and Infectious Doses via Model Averaging

In chemical and microbial risk assessments, risk assessors fit dose‐response models to high‐dose data and extrapolate downward to risk levels in the range of 1–10%. Although multiple dose‐response models may be able to fit the data adequately in the experimental range, the estimated effective dose (ED) corresponding to an extremely small risk can be substantially different from model to model. In this respect, model averaging (MA) provides more robustness than a single dose‐response model in the point and interval estimation of an ED. In MA, accounting for both data uncertainty and model uncertainty is crucial, but addressing model uncertainty is not achieved simply by increasing the number of models in a model space. A plausible set of models for MA can be characterized by goodness of fit and diversity surrounding the truth. We propose a diversity index (DI) to balance between these two characteristics in model space selection. It addresses a collective property of a model space rather than individual performance of each model. Tuning parameters in the DI control the size of the model space for MA.     

Convergence rates for uniform confidence intervals based on local polynomial regression estimators

We investigate the convergence rates of uniform bias-corrected confidence intervals for a smooth curve using local polynomial regression for both the interior and boundary region. We discuss the cases when the degree of the polynomial is odd and even. The uniform confidence intervals are based on the volume-of-tube formula modified for biased estimators. We empirically show that the proposed uniform confidence intervals attain, at least approximately, nominal coverage. Finally, we investigate the performance of the volume-of-tube based confidence intervals for independent non-Gaussian errors.     

Developing virtual team performance: an integrated perspective of social exchange and social cognitive theories

Review of Managerial Science - The emerging trend toward physically distributed work teams has necessitated a critical inquiry into the nature and roles of psychological contract and leadership in...     

一种疏水缔合聚合物快速溶解方法研究

研究了疏水缔合聚合物（AP–P4）经过拉伸装置后的溶解时间。结果表明，拉伸装置可以缩短疏水缔合聚合物的溶解时间；拉伸装置的最佳间距为200 μm，此时疏水缔合聚合物的溶解时间为25 min。经拉伸装置处理后的疏水缔合聚合物可以在30 min 内达到溶解；提高温度可以显著改善疏水缔合聚合物的溶解效果，缩短疏水缔合聚合物的溶解时间。