运用积极情感管理模式提高英语自主学习能力——一项基于独立院校学生的实证研究

课堂英语学习管理包括元认知活动管理策略和积极情感活动管理策略。通过对独立院校学生进行英语学习积极情感管理策略的训练,发现学习者的自我管理意识明显增强,能用所学的管理策略进行自我管理、自我调控,英语自主学习能力有所提高,自我效能感明显增强。     

Murphy Scale: A locational equivalent intensity scale for hazard events

Empirical cross-hazard analysis and prediction of disaster vulnerability, resilience, and risk requires a common metric of hazard strengths across hazard types. In this paper, the authors propose an equivalent intensity scale for cross-hazard evaluation of hazard strengths of events for entire durations at locations. The proposed scale is called the Murphy Scale, after Professor Colleen Murphy. A systematic review and typology of hazard strength metrics is presented to facilitate the delineation of the defining dimensions of the proposed scale. An empirical methodology is introduced to derive equivalent intensities of hazard events on a Murphy Scale. Using historical data on impacts and hazard strength indicators of events from 2013 to 2017, the authors demonstrate the utility of the proposed methodology for computing the equivalent intensities for earthquakes and tropical cyclones. As part of a new area of research called hazard equivalency, the proposed Murphy Scale paves the way toward creating multi-hazard hazard maps. The proposed scale can also be leveraged to facilitate hazard communication regarding past and future local experiences of hazard events for enhancing multi-hazard preparedness, mitigation, and emergency response.     

Second‐order analysis of marked inhomogeneous spatiotemporal point processes: Applications to earthquake data

To analyze interactions in marked spatiotemporal point processes (MSTPPs), we introduce marked second‐order reduced moment measures and K‐functions for inhomogeneous second‐order intensity‐reweighted stationary MSTPPs. These summary statistics, which allow us to quantify dependence between different mark‐based classifications of points, depend on the specific mark space and mark reference measure chosen. Unbiased and consistent minus‐sampling estimators are derived for all statistics considered, and a test for random labeling is indicated. In addition, we treat Voronoi intensity estimators for MSTPPs. These new statistics are finally employed to analyze an Andaman Sea earthquake data set.     

Reliability sampling plan for repairable items following general failure process and its statistical analysis

Acceptance sampling plan has become an essential tool in the statistical quality control. Traditionally, most acceptance sampling plans have been developed for non-repairable items. Recently in Cha [Variables acceptance reliability sampling plan for repairable items. Statistics. 2015;49:1141–1156], variables acceptance reliability sampling plan for repairable items has been developed assuming that the failure process follows the non-homogeneous Poisson process (NHPP). In this paper, we assume that the failure process follows a new counting process which is a generalized version of the NHPP. Furthermore, it is shown that the developed sampling plan improves the reliability characteristic of the population of items which have passed the testing procedure. An illustrative example is also provided.     

Kernel Density Estimation on a Linear Network

This paper develops a statistically principled approach to kernel density estimation on a network of lines, such as a road network. Existing heuristic techniques are reviewed, and their weaknesses are identified. The correct analogue of the Gaussian kernel is the ‘heat kernel’, the occupation density of Brownian motion on the network. The corresponding kernel estimator satisfies the classical time‐dependent heat equation on the network. This ‘diffusion estimator’ has good statistical properties that follow from the heat equation. It is mathematically similar to an existing heuristic technique, in that both can be expressed as sums over paths in the network. However, the diffusion estimate is an infinite sum, which cannot be evaluated using existing algorithms. Instead, the diffusion estimate can be computed rapidly by numerically solving the time‐dependent heat equation on the network. This also enables bandwidth selection using cross‐validation. The diffusion estimate with automatically selected bandwidth is demonstrated on road accident data.     

Characterizations of distributions through selected functions of reliability theory

In this article, exponential distribution, two-parameter Weibull distribution, log-logistic distribution, log-log-logistic distribution, and Lomax distribution are characterized through selected functions of reliability theory: failure rate, aging intensity function, and log-odds rate.     

中国工业进出口贸易隐含废水排放动态变化分析

贸易推动经济增长的同时,对国内环境也产生了一定的影响。以贸易隐含废水为代表性指标,运用投入产出法,基于OECD数据库提供的2004-2011年连续投入产出表以及分行业进出口贸易数据,测算了中国工业行业进出口和进口中间投入的隐含废水排放量。研究表明:2004-2011年中国工业行业的废水排放强度有显著的下降趋势;工业进出口的生态逆差量呈现"N"型变化趋势,且中国工业净隐含废水排放行业集中度较高,排放量前八的行业总计占工业净隐含废水排放量的82%左右。同时,对进口中间投入的分析发现,进口中间投入产品年均减少废水排放量高达324 463万吨。据此提出降低贸易隐含废水排放的政策建议。     

环境规制强度与经济增长——基于生产性资本和健康人力资本视角

近年来,环境保护与经济增长之间的"两难悖论"引起了广泛的关注,环境规制强度如何影响经济增长的问题亟待解决。本文基于代际交替模型（OLG）,将环境规制、健康人力资本及生产性资本纳入分析框架,指出环境规制通过影响健康人力资本和生产性资本投资的方式对经济增长产生正负两方面影响。当环境规制强度较低时,环境规制强度与经济增长率正相关;当环境规制强度过高时,则与经济增长率负相关,存在一个最优环境规制强度。在此基础上,利用我国1997-2015年30个省级的面板数据,通过广义矩估计进行实证研究,验证了在我国存在这种显著的"倒U型"的非线性关系。     

政府审计效率影响因素的实证研究

采用多元回归分析方法对31个省级审计机关2002年-2006年的政府审计效率的影响因素进行了检验,经验证据表明:审计任务强度、审计执行力度及审计处罚力度与政府审计效率成正相关关系;审计信息披露力度对政府审计效率的影响不显著。     

海峡西岸经济区碳减排潜力预测与对策研究——以福建省为例

构建了碳排放强度因素分解模型,分析了1978-2009年福建省碳排放强度的阶段性变化特征,设计了6个碳减排情景,预测了"十二五"和"十三五"福建省碳减排潜力及其可行性,据此提出了增强海峡西岸经济区碳减排能力的对策建议。