企业家精神的内涵与外延探析

从企业家精神的内涵和外延两个角度对企业家精神的定义进行整合,从个体特性、行为特性和与环境相结合的特性整合企业家精神的内涵,同时将企业家精神的外延划分为个人层次、组织层次和社会层次三个层次范围。从而进一步得出企业家精神的研究框架,并在框架的基础上分析当前国内研究的不足。最终,根据对企业家精神的深入分析,预测出企业家精神未来的研究趋势。     

深井水平井水平段水力延伸能力评价与分析

对影响水平井水平段延伸能力的因素进行了分析,然后根据钻井液流体力学理论,建立了水平井循环压耗计算模型,分别对水平井总循环压耗和水平段环空压耗进行计算,进而求出了水平井水平段极限延伸长度值;对钻井液密度、钻井泵额定压力、岩屑床高度和钻井液排量对水平段水力延伸能力的影响进行了分析。研究表明,水平段水力延伸能力受钻井液密度、钻井泵额定压力、岩屑床高度和钻井液排量等多个因素共同影响。为了提高深井水平井的延伸能力,应使用较低密度的钻井液;尽量保持较低的岩屑床高度;钻井液排量应尽量小。同时还认识到,深井水平井水力延伸能力主要受到钻井泵额定压力的制约。研发高额定压力的钻井泵,是提高深井水平井水力延伸能力的主要措施。     

复杂山地高密度宽线地震采集技术及应用效果

通过多年持续攻关,塔里木盆地山地地震采集技术取得了长足进展,但仍有许多勘探难题需进一步解决。阐述了针对高大山体区地震资料的低信噪比问题和高陡复杂构造成像问题而提出的一种攻关采集方法。该方法以宽线采集技术为基础,在增强压噪能力、提高静校正精度、改善陡倾角地层成像效果等方面采取了针对性技术措施。这些技术措施的的应用大幅度改善了地震剖面的成像质量。     

Challenges and Opportunities for Research on Same‐Sex Relationships

Research on same‐sex relationships has informed policy debates and legal decisions that greatly affect American families, yet the data and methods available to scholars studying same‐sex relationships have been limited. In this article the authors review current approaches to studying same‐sex relationships and significant challenges for this research. After exploring how researchers have dealt with these challenges in prior studies, the authors discuss promising strategies and methods to advance future research on same‐sex relationships, with particular attention given to gendered contexts and dyadic research designs, quasi‐experimental designs, and a relationship biography approach. Innovation and advances in the study of same‐sex relationships will further theoretical and empirical knowledge in family studies more broadly and increase understanding of different‐sex as well as same‐sex relationships.     

Complete consistency for the estimator of nonparametric regression models based on extended negatively dependent errors

In this paper, we provide some exponential inequalities for extended negatively dependent (END) random variables. By using these exponential inequalities and the truncated method, we investigate the complete consistency for the estimator of nonparametric regression model based on END errors. As an application, the complete consistency for the nearest neighbour estimator is obtained.     

On False Discovery and Non‐discovery Proportions of the Dynamic Adaptive Procedure

This paper studies the asymptotic behaviour of the false discovery and non‐discovery proportions of the dynamic adaptive procedure under some dependence structure. A Bahadur‐type representation of the cut point in simultaneously performing a large scale of tests is presented. The asymptotic bias decompositions of the false discovery and non‐discovery proportions are given under some dependence structure. In addition to existing literatures, we find that the randomness due to the dynamic selection of the tuning parameter in estimating the true null rate serves as a source of the approximation error in the Bahadur representation and enters into the asymptotic bias term of the false discovery proportion and those of the false non‐discovery proportion. The theory explains to some extent why some seemingly attractive dynamic adaptive procedures do not outperform the competing fixed adaptive procedures substantially in some situations. Simulations justify our theory and findings.     

A Parametric Bootstrap Test for Two-Way ANOVA Model Without Interaction Under Heteroscedasticity

In this article we consider the two-way ANOVA model without interaction under heteroscedasticity. For the problem of testing equal effects of factors, we propose a parametric bootstrap (PB) approach and compare it with existing the generalized F (GF) test. The Type I error rates and powers of the tests are evaluated using Monte Carlo simulation. Our studies show that the PB test performs better than the GF test. The PB test performs very satisfactorily even for small samples while the GF test exhibits poor Type I error properties when the number of factorial combinations or treatments goes up. It is also noted that the same tests can be used to test the significance of random effect variance component in a two-way mixed-effects model under unequal error variances.     

Priority Rules for Multi‐Task Due‐Date Scheduling under Varying Processing Costs

We study the scheduling of multiple tasks under varying processing costs and derive a priority rule for optimal scheduling policies. Each task has a due date, and a non‐completion penalty cost is incurred if the task is not completely processed before its due date. We assume that the task arrival process is stochastic and the processing rate is capacitated. Our work is motivated by both traditional and emerging application domains, such as construction industry and freelance consulting industry. We establish the optimality of Shorter Slack time and Longer remaining Processing time (SSLP) principle that determines the priority among active tasks. Based on the derived structural properties, we also propose an effective cost‐balancing heuristic policy and demonstrate the efficacy of the proposed policy through extensive numerical experiments. We believe our results provide operators/managers valuable insights on how to devise effective service scheduling policies under varying costs.