Houellebecq,or, the Carnival of Spite

Despite their significance in social reality and in fiction, ressentiment and especially spite are surprisingly under‐researched topics. As the repressed other of the contemporary post‐political society, they often combine political impotence and enjoyment in passivity, two experiences that are closely related to the increasing transformation of the “city” into the state of nature, of politics to bio‐politics (or post‐politics) and of the “social” into the simulacra (the society of spectacle). The article discusses ressentiment and spite in Houellebecq's fiction, by taking point of departure in the way he depicts the contemporary society, combining this with a discussion of his artistic position and the affective economy of ressentiment and spite in his work. Finally it asks whether it is possible to imagine a sociality, a “city,” without spite.     

Demographic Data on Syrians in Turkey: What do we know?

With the outbreak of civil war in Syria, Turkey has become the host of the largest refugee population in the world. In a country where reliable population registration systems are only recently established and where no extensive legal arrangements on migration existed prior to the Syrian crisis, the whole refugee situation was handled rather unsystematically, with ever-changing institutions and regulations, and various iterations of both. In this paper we present the demographic statistics that have been made public by different sources from the beginning of the crisis up to today because they are hard to reach in one place accompanied by relevant institutional changes; with the aim of assessing the current demographic data and revealing what is missing.     

Integrating Computational Thinking into Social Studies

Abstract

Computational Thinking (CT) has recently been addressed as one of the key skills for the twenty-first century. Integrating CT into different subject areas of K-12 education is also now widely accepted to improve the quality of instruction. In that sense, it is important to enable educators and researchers to recognize how to integrate computational thinking into K-12 classrooms and to study how students learn to think computationally in social studies courses. Besides, providing good practice on CT helps to develop common ground for the teaching of computational thinking in social studies subject areas. Hence, the purpose of this paper is to provide a framework for social studies teachers with regard to how CT can be integrated into K-12 classrooms for social studies. Moreover, a practical implementation idea is also suggested based on this framework. This paper is expected to provide an insight to social studies teachers who want to integrate CT into their classroom in the future and support them in teaching context.     

Least squares and shrinkage estimation under bimonotonicity constraints

In this paper we describe active set type algorithms for minimization of a smooth function under general order constraints, an important case being functions on the set of bimonotone r×s matrices. These algorithms can be used, for instance, to estimate a bimonotone regression function via least squares or (a smooth approximation of) least absolute deviations. Another application is shrinkage estimation in image denoising or, more generally, regression problems with two ordinal factors after representing the data in a suitable basis which is indexed by pairs (i,j)∈{1,…,r}×{1,…,s}. Various numerical examples illustrate our methods.     

Turkish health professional's attitude toward euthanasia

The cross-sectional study was administrated between April and September 2006. Participants are doctors, nurses, and midwives. Between these dates we met only 750 health staff (doctor, nurse, and midwife). Six hundred thirty-two of them responded to our questionnaire, 122 of them were in Manisa city, and 510 of them in Erciyes. We sought to identify variables that contribute to euthanasia attitude, including demographics, in order to demonstrate Turkish doctors', nurses', and midwives' attitudes toward euthanasia and to compare their attitudes in this regard. The data was collected by a two-part questionnaire. The first part included questions about the health personnel; the second part comprised the euthanasia (Medical Staffs Attitude toward Euthanasia) scale. The scale was developed by the researcher to measure the attitude of healthy staff euthanasia. The SPSS was used to analyze the data. Student t-test, ANOVA, Mann Whitney U, and Kruskal Wallis were used to evaluate the data. Thep value 0.05 (95% confidence interval) was accepted as significant. In our study, professional groups are compared with all the factors but there is a significant difference only between social cost and professional groups.     

New Results on the Small-Sample Properties of Some Robust Univariate Estimators of Location

This article compares eight estimators in terms of relative efficiencies with the univariate mean, some of which have not been compared previously. Four estimators, when testing hypotheses, are compared in terms of actual Type I errors. In terms of point estimation, the modified one-step M-estimator, one-step M-estimator, and rfch estimator are found to be the three best choices depending on the proportion of outliers. In terms of actual Type I errors, the modified one-step M estimator's and rfch estimator's level was between.045 and.055 in 5 out of 7 situations when real data were used in simulations.     

A generalized,multi-stage adjusted,latent class linear mixed model for testing genetic association

ABSTRACT

In this study, a Generalized, Multi-Stage Adjusted, Latent Class Linear Mixed Model is proposed for modeling the heterogeneous distributed phenotype and genetic information across the whole genome in the presence of both serial and familial correlations. Genome data were analyzed by applying the proposed model to Genetic Analysis Workshop (GAW) data, and the model results were compared to the results of standard models. Moreover, the potential of the model is discussed compared to simulated data. As a result of model comparisons, the information criteria and the genomic control parameter were found to be smaller. The results of a power analysis show that the proposed model is more powerful.     

The Restricted and Unrestricted Two-Parameter Estimators

In this article, we introduce a new two-parameter estimator by grafting the contraction estimator into the modified ridge estimator proposed by Swindel (1976 Swindel , B. F. ( 1976 ). Good ridge estimators based on prior information . Commun. Statist. Theor. Meth. A5 : 1065 – 1075 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). This new two-parameter estimator is a general estimator which includes the ordinary least squares, the ridge, the Liu, and the contraction estimators as special cases. Furthermore, by setting restrictions Rβ = r on the parameter values we introduce a new restricted two-parameter estimator which includes the well-known restricted least squares, the restricted ridge proposed by Groß (2003 Groß , J. ( 2003 ). Restricted ridge estimation . Statist. Probab. Lett. 65 : 57 – 64 .[Crossref], [Web of Science ®] , [Google Scholar]), the restricted contraction estimators, and a new restricted Liu estimator which we call the modified restricted Liu estimator different from the restricted Liu estimator proposed by Kaç?ranlar et al. (1999 Kaç?ranlar , S. , Sakall?o?lu , S. , Akdeniz , F. , Styan , G. P. H. , Werner , H. J. ( 1999 ). A new biased estimator in linear regression and a detailed analysis of the widely-analysed dataset on Portland cement . Sankhya Ser. B., Ind. J. Statist. 61 : 443 – 459 . [Google Scholar]). We also obtain necessary and sufficient condition for the superiority of the new two-parameter estimator over the ordinary least squares estimator and the comparison of the new restricted two-parameter estimator to the new two-parameter estimator is done by the criterion of matrix mean square error. The estimators of the biasing parameters are given and a simulation study is done for the comparison as well as the determination of the biasing parameters.