明代宫廷书画收藏考略

明代宫廷的书画收藏十分丰富,嘉靖以后虽多有散出,但仍具有一定规模,直至明清鼎革之际宫廷所藏书画才散佚殆尽。明代宫廷所藏书画主要包括接收前代遗存、查抄籍没书画以及帝后臣工新创作书画几个部分。宫廷所藏书画主要由宦官机构司礼监负责保管,存放于质慎库中;另有部分历代帝王、君臣画像由印绶监保管,存放于古今通集库中。明代中叶以后,宫廷收藏书画通过充抵官员俸禄、偷窃等方式大量流散出宫,但同时也存在一定的补充和回流。明清易代之际,宫中所藏书画散佚殆尽,这为明末清初私人收藏家群体的崛起提供了机遇。     

Socio‐economic stratification of English in globalized landscapes: A market‐oriented perspective

Globalization has dramatically altered the urban societies of Amsterdam and Brussels over recent decades, with intensified socio‐economic inequality, unprecedented levels of multilingualism and the increasing importance of English. In this paper, I examine the use of English in the linguistic landscape of socio‐economically stratified commercial shopping streets in these two second‐tier global cities. I adopt a market‐oriented, contextualized approach to quantitative and qualitative variability in how English emerges in these particular commercial ‘linguistic markets’. McDonaldization in midscale shopping streets occurs alongside downscale and upscale uses of English which are more susceptible to local commercial dynamics, in particular in Brussels. As such, global English in these single city contexts emerges as a heterogeneous and scaled phenomenon shaped by specific local commercial and linguistic market conditions.     

Mixed integer (0–1) fractional programming for decision support in paper production industry

This paper presents an effective and efficient method for solving a special class of mixed integer fractional programming (FP) problems. We take a classical reformulation approach for continuous FP as a starting point and extend it for solving a more general class of mixed integer (0–1) fractional programming problems.To stress the practical relevance of the research we focus on a real-life application in paper production industry. The constantly advancing physical knowledge of large scale pulp and paper production did have a substantial impact on an existing DSS in which mixed integer (0–1) fractional programming is introduced. We show that the motivation to solve a real-life fractional programming problem can provide the basis for a new approach in a new context that has an added value of its own, even outside the given application area. We describe the main characteristics of the DSS, the necessity to develop a non-iterative solution procedure and demonstrate both the effectiveness and efficiency of the proposed approach from practical data sets.     

The Human Right to Leisure in Old Age: Reinforcement of the Rights of an Aging Population

The right to leisure is recognized as a human right under the 1948 United Nations Universal Declaration of Human Rights. The actual meaning and material content of this human right is subject to debate. The aim of this study is to examine the extent and the context to which this human right is specifically recognized with regard to older persons. Methodologically, this study textually analyzed 17 different international older persons’ human rights documents. The findings reveal that in the majority of these documents there is no reference to the right to leisure. In the remaining documents, the right to leisure is mostly referred to indirectly or in a narrow legal construction. These findings support the notion that despite the growing body of knowledge regarding the importance of meaningful leisure in old age—and its empowering and anti-ageist nature—this knowledge has not transformed into a legal human rights discourse.     

The empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior under Stein's loss function

For the hierarchical Poisson and gamma model, we calculate the Bayes posterior estimator of the parameter of the Poisson distribution under Stein's loss function which penalizes gross overestimation and gross underestimation equally and the corresponding Posterior Expected Stein's Loss (PESL). We also obtain the Bayes posterior estimator of the parameter under the squared error loss and the corresponding PESL. Moreover, we obtain the empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior by two methods. In numerical simulations, we have illustrated: The two inequalities of the Bayes posterior estimators and the PESLs; the moment estimators and the Maximum Likelihood Estimators (MLEs) are consistent estimators of the hyperparameters; the goodness-of-fit of the model to the simulated data. The numerical results indicate that the MLEs are better than the moment estimators when estimating the hyperparameters. Finally, we exploit the attendance data on 314 high school juniors from two urban high schools to illustrate our theoretical studies.     

Application of a QMRA Framework to Inform Selection of Drinking Water Interventions in the Developing Context

The aim of this study was to develop a modified quantitative microbial risk assessment (QMRA) framework that could be applied as a decision support tool to choose between alternative drinking water interventions in the developing context. The impact of different household water treatment (HWT) interventions on the overall incidence of diarrheal disease and disability adjusted life years (DALYs) was estimated, without relying on source water pathogen concentration as the starting point for the analysis. A framework was developed and a software tool constructed and then implemented for an illustrative case study for Nepal based on published scientific data. Coagulation combined with free chlorine disinfection provided the greatest estimated health gains in the short term; however, when long‐term compliance was incorporated into the calculations, the preferred intervention was porous ceramic filtration. The model demonstrates how the QMRA framework can be used to integrate evidence from different studies to inform management decisions, and in particular to prioritize the next best intervention with respect to estimated reduction in diarrheal incidence. This study only considered HWT interventions; it is recognized that a systematic consideration of sanitation, recreation, and drinking water pathways is important for effective management of waterborne transmission of pathogens, and the approach could be expanded to consider the broader water‐related context.     

Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard

This study presents a structural evaluation methodology to link key performance indicators (KPIs) into a strategy map of the balanced scorecard (BSC) for banking institutions. Corresponding with the four BSC perspectives (finance, customer, internal business process, and learning and growth), the most important evaluation indicators of banking performance are synthesized from the relevant literature and screened by a committee of experts. The Decision Making Trial and Evaluation Laboratory (DEMATEL) method, a multiple criteria analysis tool, is then employed to determine the causal relationships between the KPIs, to identify the critical central and influential factors, and to establish a visualized strategy map with logical links to improve banking performance. An empirical application is provided as an example. According to the expert evaluations, the three most essential KPIs for banking performance are customer satisfaction, sales performance, and customer retention rate. The DEMATEL results demonstrate a clear road map to assist management in prioritizing the performance indicators and in focusing attention on the strategy-related activities of the crucial indicators. According to the constructed strategy map, management could better invest limited resources in the areas that need improvement most. Although these strategy maps of the BSC are not universal, the research results show that the presented approach is an objective and feasible way to construct strategy maps more justifiably. The proposed framework can be applicable to institutions in other industries as well.     

Semi-non parametric smooth isotonic regression

We propose a new method for smooth isotonic regression analysis. Unlike most existing methods for isotonic regression, the proposed method is akin to parametric regression without order restriction. To account for smoothness and isotonicity simultaneously, we exploit the flexible class of semi-non parametric densities to model isotonic regression functions. Under this framework, the full range of inference techniques for parametric regression models become applicable for model estimation and model validation in isotonic regression.     

Model selection for factor analysis: Some new criteria and performance comparisons

This paper derives Akaike information criterion (AIC), corrected AIC, the Bayesian information criterion (BIC) and Hannan and Quinn’s information criterion for approximate factor models assuming a large number of cross-sectional observations and studies the consistency properties of these information criteria. It also reports extensive simulation results comparing the performance of the extant and new procedures for the selection of the number of factors. The simulation results show the di?culty of determining which criterion performs best. In practice, it is advisable to consider several criteria at the same time, especially Hannan and Quinn’s information criterion, Bai and Ng’s IC_p2 and BIC₃, and Onatski’s and Ahn and Horenstein’s eigenvalue-based criteria. The model-selection criteria considered in this paper are also applied to Stock and Watson’s two macroeconomic data sets. The results differ considerably depending on the model-selection criterion in use, but evidence suggesting five factors for the first data and five to seven factors for the second data is obtainable.     

Procedural (in)justice,emotions, and compliance

The procedural justice model has become widely recognized as a key crime prevention and reduction strategy, spurring its adoption across police agencies throughout the United States in an effort to address mounting concerns regarding police use of force. Recent critiques, however, have called attention to the need for greater examination of potential contributing factors that are underdeveloped in investigations of the procedural justice model, including the role of emotions. This article takes stock of interdisciplinary advancements to critically examine scholarly investigations exploring associations between procedural (in)justice, emotions, and compliance behaviors within the context of police-citizen interactions. In doing so, continued gaps are identified. Lastly, this article concludes by identifying future pathways and recommendations for the scholarly advancement of our understanding of emotions and their continued relevance to the procedural justice model.