FDA: strong consistency of the kNN local linear estimation of the functional conditional density and mode

In this paper we present a new estimator of the conditional density and mode when the co-variables are of functional kind. This estimator is a combination of both, the k-Nearest Neighbours procedure and the functional local linear estimation. Then, for each statistical parameter (conditional density or mode), results concerning the strong consistency and rate of convergence of the estimators are presented. Finally, their performances, for finite sample sizes, are illustrated by using simulated data.     

Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA

As environment constraints on economic growth are strengthening, Carbon Emissions Abatement (CEA) allocation becomes a significant issue that draws academia׳s attention. In the literature, the Data Envelopment Analysis (DEA) technique has been applied to obtain CEA allocation with centralized models. Nevertheless, a centralized allocation plan suffers from an implementation difficulty in persuading decision-making units (DMUs) into an agreement. In this paper, we propose a new two-step method to mitigate this side effect. In the first step, we provide improved DEA-based centralized allocation models under the assumptions of constant returns-to-scale (CRS) and variable returns-to-scale (VRS) respectively and in the second step, two compensation schemes are developed for centralized allocation plans. An empirical application to the countries in Organization for Economic Co-operation and Development (OECD) is presented to elaborate the main idea.     

HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets

There are no practical and effective mechanisms to share high-dimensional data including sensitive information in various fields like health financial intelligence or socioeconomics without compromising either the utility of the data or exposing private personal or secure organizational information. Excessive scrambling or encoding of the information makes it less useful for modelling or analytical processing. Insufficient preprocessing may compromise sensitive information and introduce a substantial risk for re-identification of individuals by various stratification techniques. To address this problem, we developed a novel statistical obfuscation method (DataSifter) for on-the-fly de-identification of structured and unstructured sensitive high-dimensional data such as clinical data from electronic health records (EHR). DataSifter provides complete administrative control over the balance between risk of data re-identification and preservation of the data information. Simulation results suggest that DataSifter can provide privacy protection while maintaining data utility for different types of outcomes of interest. The application of DataSifter on a large autism dataset provides a realistic demonstration of its promise practical applications.     

听说法研究的历史、现状和反思

听说法产生于19世纪40年代的美国，以结构主义语言学和行为主义心理学为基础，主张在对外汉语教学中注重学生口语能力的培养，遵循“听说领先，读写跟上”的原则，经过反复的句型操练，最终使学习者能够灵活地运用所学语言材料进行交际。听说法20世纪60年代传入中国,率先广泛应用于英语教学中，2000年后则成为对外汉语教学重要的教学方法。文章首先梳理国内关于听说法研究的历史演进，然后利用数据统计对我国听说法研究现状进行分析，包括文献发表数量、研究热点、研究内容、实践案例研究来源等。基于以上梳理和分析，文章对听说法研究的反思，重点关注听说法应用于对外汉语教育实践的相关研究所面临的挑战，并提出相应的研究建议，以期为对外汉语教学的深入研究提供参考，从而推进对外汉语教学在“一带一路”建设中发挥重大作用。     

Simultaneous estimation and inference for multiple response variables

Multivariate data arise frequently in biomedical and health studies where multiple response variables are collected across subjects. Unlike a univariate procedure fitting each response separately, a multivariate regression model provides a unique opportunity in studying the joint evolution of various response variables. In this paper, we propose two estimation procedures that improve estimation efficiency for the regression parameter by accommodating correlations among the response variables. The proposed procedures do not require knowledge of the true correlation structure nor does it estimate the parameters associated with the correlation. Theoretical and simulation results confirm that the proposed estimators are more efficient than the one obtained from the univariate approach. We further propose simple and powerful inference procedures for a goodness-of-fit test that possess the chi-squared asymptotic properties. Extensive simulation studies suggest that the proposed tests are more powerful than the Wald test based on the univariate procedure. The proposed methods are also illustrated through the mother’s stress and children’s morbidity study.     

Understanding cultural singularities of ‘Indianness’ in an intercultural business setting

Analysing data from the Indian information technology (IT) industry, this paper advances an understanding of cultural singularities of ‘Indianness’. The research context of an intercultural meeting place of IT and business process outsourcing firms’ overseas subsidiaries, Belgium in this case, allows the authors to identify 10 cultural singularities that typify ‘Indianness’. This ethnographic, reflexive study is further validated by employing Ghoshal's ‘smell of the place’ metaphor through the authors collective experiences as consultants and researchers, and builds and extends upon the popular cultural dimension frameworks for understanding intercultural business and management. Existing cultural dimensions do not sufficiently describe the contemporary intercultural dynamics that typically take place in workplaces, especially so in offshore and outsourcing environments. A provisional set of parameters for understanding Indian culture, with its relevant impact on business life (customs and manners), business processes and business deliverables are proposed in this study.     

在基础梁板设计中应用塑性理论的探讨

在基础结构设计中存在误区,导致基础结构中钢筋实测应力较计算值低得多,从而浪费大量钢材．为此提出用塑性理论进行基础结构设计的观点,并对此应用作了一些分析．     

农地抵押贷款信用评价体系构建

通过构建农地抵押贷款信用评价体系,为贷款申请人信用资质的判定提供客观标准。借鉴Z评分模型,使用Bootstrap方法筛选农地抵押贷款信用评价指标,并使用基于离差最大的组合赋权法确定各指标的权重。在信用评价模型建立后,通过贷款户和申请被拒农户信用评分的差异,划定优质借款人的信用评分范围,最后对该信用评分模型的有效性进行了检验。     

日本环境法中非规制调整方法及对我国的启示

日本环境法的调整方法除规制方法之外,还有综合性方法、经济方法、信息型方法、行政指导、环境协定、事后措施等非规制调整方法。规制方法与和非规制方法各有其优劣,要兼顾公平与效率,应当注意将该两种方法运用在不同的情形;同时,应当注意综合运用这两种方法。引导合意方法的运用方向应为不确定的环境风险、生活型公害及环境舒适问题,我国环境法的调整方法存在合意方法即行政指导、环境协定应用得很少等缺陷,应借鉴日本的经验,加以改进。     

“一带一路”建设中广东区域城市群协调发展研究

以“一带一路”建设中广东区域城市群为研究对象,选取经济、社会和环境3个系统构建指标体系,运用改进熵值法、耦合协调度函数及综合协调发展度模型等进行实证分析,得出结论:广东区域城市群综合协调发展情况总体较好,但城市之间差距较大;提高经济与社会发展指数迫在眉睫,广东21个城市中,经济、社会与环境三大子系统均衡发展的城市1个,某个子系统发展指数滞后的城市6个,经济与社会发展指数滞后的城市14个;珠三角地区各城市协调等级全部属于协调类,从协调度评价结果分布来看,已经形成梯度发展的态势;粤东城镇群、粤西城镇群和韶关都市区协调度和协调类型明显逊色。依据此结论,论述了广东参与“一带一路”建设应以珠江三角洲区域经济一体化为核心,落实振兴粤东西北地区的政策,各区域城市应结合自身特点加以调整发展,利用“一带一路”的政策红利和战略机遇提升城市协调度的观点。