Explaining Cross-Country Differences in Attitudes Towards Immigration in the EU-15

In this paper, we use data from the first two rounds of the European Social Survey to analyze the extent to which differences in average attitudes towards immigration across the EU-15 countries may be explained by differences in socioeconomic characteristics and individually perceived consequences of immigration, using an extension of a decomposition technique developed by Fairlie (2005). We find that despite the significant effects of socioeconomic characteristics on attitudes, differences in the distributions of these characteristics can only explain a modest share of the cross-country variation in average attitudes. A larger part can be explained by differences in perceived consequences of immigration, but the main part is still left unexplained. Apart from providing useful input for policy makers working in the area of immigration policy, this raises a number of questions for further research for which the ESS data can be successfully applied.

共识社群——简论中国乡村中的国家构造与地方社会

This article deals with the delicate relationship between vernacular practices and offi-cial discourse in rural China .In regards to geo-mancy (fengshui), rituals, gifting, and corruption discourse , f...     

Telling about something that you do not really know: blind people are talking about vision!

In Turkey, the laws which define disability have become increasingly harsh, and require disabled people to be assessed in order to determine ‘how disabled’ they are. For blind people, as for other disabled people, these assessments have real consequences. This article aims to discuss an appealing piece that arose during a project, which has bearing on how disabled people tend to answer these questions. The participants are legally blind adults. We, as sighted researchers, asked totally blind individuals to describe their vision. Interestingly, they all answered this question without hesitation. The paradoxical nature of this question was only realized during the analysis. We requested the participants to talk about something they do not really know. This might be a reflection of our over-visualized world and might be due to our subtle prejudices. This type of questioning not only has implications for research, but also for assessments of disability in Turkey.     

Prostate-specific antigen decline pattern in advanced prostate cancer receiving androgen deprivation therapy and relationship with prostate-specific antigen progression

Introduction: The aim of this study is to evaluate prostate-specific antigen decline pattern including prostate-specific antigen kinetics following androgen deprivation therapy on prostate-specific antigen progression in the patients with advanced prostate cancer.

Materials and methods: Ninety-seven advanced prostate cancer patients receiving maximum androgen deprivation therapy were enrolled in case–control study. Baseline prostate-specific antigen, Gleason Score, bone metastase, nadir prostate-specific antigen, time to nadir prostate-specific antigen, declining slope to nadir prostate-specific antigen, estimated baseline prostate-specific antigen half-time, current prostate-specific antigen, post-nadir prostate-specific antigen time, estimated prostate-specific antigen, estimated decline of baseline prostate-specific antigen as quantitative, and ratio were recorded and calculated.

Results: The ratio of prostate-specific antigen progression was significantly lower at the patients who had slower declining slope to prostate-specific antigen, longer time to nadir prostate-specific antigen, and lower estimated decline ratio of baseline prostate-specific antigen (p: .016, p: .020, and p: .026, respectively).

Conclusions: The shorter time to nadir prostate-specific antigen following androgen deprivation therapy, faster declining slope to nadir prostate-specific antigen and higher estimated decline ratio of baseline prostate-specific antigen are associated with higher risk of disease progression in patients with hormone-sensitive prostate cancer.     

Manager-Derailment

The topic of this article in the journal “Gruppe. Interaktion. Organisation (GIO)”, failure of managers, used to be a taboo issue that currently receives more and more attention in the daily press as well as in research. In times of globalization and the resulting world-wide competition, organizations bear the responsibility of counteracting failures of their top managers as they encompass not only financial damage for the company but also personal consequences for the respective individual. The derailment of a manager describes the sudden break-down of a so far successful executive. But how does a derailment occur and are there possibilities to prevent it? The following contribution reports empirical evidence for both risk and resilience factors and gives advice for personnel selection and development.     

The evaluation of socio-economic development of development agency regions in Turkey using classical and robust principal component analyses

In this study, classical and robust principal component analyses are used to evaluate socioeconomic development of regions of development agencies that give service on the purpose of decreasing development difference among regions in Turkey. Due to the high differences between development levels of regions outlier problem occurs, hence robust statistical methods are used. Also, classical and robust statistical methods are used to investigate if there are any outliers in data set. In classic principal component analyse, the number of observations must be larger than the number of variables. Otherwise determinant of covariance matrix is zero. In Robust method for Principal Component Analysis (ROBPCA), a robust approach to principal component analyse in high-dimensional data, even if the number of variables is larger than the number of observations, principal components are obtained. In this paper, firstly 26 development agencies are evaluated with 19 variables by using principal component analysis based on classical and robust scatter matrices and then these 26 development agencies are evaluated with 46 variables by using the ROBPCA method.     

Redundant configuration of automated flow lines based on “Industry 4.0”-technologies

Over the past decades, robots have been heavily used for flow lines to increase productivity and product quality and to relieve workers of repetitive and dangerous tasks. However, despite continuous improvement of robots, the occurrence of failures remains a significant challenge in the operation of automated flow lines. Due to the connection of the stations in a flow line via a material handling system, failures at one station can quickly lead to throughput losses due to blocking and starving of upstream and downstream stations, respectively. To some extent, these throughput losses can be reduced by installing buffers between the stations. However, the installation of buffers requires considerable investments and scarce factory space. Therefore, the minimization of the total number of buffers is one of the primary objectives in flow line planning. Due to the advances of manufacturing technologies that form the foundation of “Industry 4.0”, new solutions to reduce throughput losses caused by equipment failures open up. One solution is a redundant configuration, in which downstream stations automatically take over the operations of failed stations in the event of failure. The throughput loss in these situations mainly depends on the level of redundancy designed into the system. Based on existing methods for the design of automated flow lines, we present two line balancing formulations for the configuration of automated flow lines under consideration of redundancies. The first formulation aims at maximizing the lines’ level of redundancy. The second formulation aims at a balanced allocation of redundancies along the line. To evaluate the presented formulations, we compare the performance with an existing line balancing approach for automated lines. With respect to this approach, improvements of the throughput rate between 3 % and 7 % are achieved.     

Consumer awareness and sustainability-focused value orientation as motivating factors of responsible consumer behavior

Consumers are put in the driver seat on the road to a sustainable development. Following a consumer-centric approach, this paper explores the dimensionality and the antecedents of responsible consumption from a psychological perspective. Concerning the dimensionality, the study proposes that responsible consumption should comprise a societal as well as an individual dimension. The data (N = 339) supported this two-dimensional approach, differentiating between societal responsibilities of consumers (doing good) and consumers’ responsibilities for their personal well-being (doing well). Moreover, the results indicate that both consumer awareness and sustainability-focused value orientation have a direct positive influence on responsible consumer behavior. In addition, the hypothesized mediating role of consumer awareness is confirmed, with mediations for societal or personal responsible consumer behavior by the respective consumer awareness dimension. Consequently, it is crucial for organizations to flank their sustainable offers with appropriate communication activities in order to motivate consumers to engage in more responsible consumption.     

Multivariate boundary kernels and a continuous least squares principle

Whereas there are many references on univariate boundary kernels, the construction of boundary kernels for multivariate density and curve estimation has not been investigated in detail. The use of multivariate boundary kernels ensures global consistency of multivariate kernel estimates as measured by the integrated mean-squared error or sup-norm deviation for functions with compact support. We develop a class of boundary kernels which work for any support, regardless of the complexity of its boundary. Our construction yields a boundary kernel for each point in the boundary region where the function is to be estimated. These boundary kernels provide a natural continuation of non-negative kernels used in the interior onto the boundary. They are obtained as solutions of the same kernel-generating variational problem which also produces the kernel function used in the interior as its solution. We discuss the numerical implementation of the proposed boundary kernels and their relationship to locally weighted least squares. Along the way we establish a continuous least squares principle and a continuous analogue of the Gauss–Markov theorem.