Elite women in the Ukrainian Hetmanate

The history of the Ukrainian Hetmanate has been studied from the perspective of war, political struggle, and diplomacy. This article studies various aspects of women’s lives in Cossack society: their legal status, economic rights, role in society, relations with husbands and sons, the tradition of women’s presence at formal receptions, and their interference in political life. It is also about “women in politics,” “witches,” sex and premarital relations, kidnappings, and love affairs. The general argument is that the position of Ukrainian women was closer to that of women in Catholic Poland than in Muscovy.     

Israel's military public diplomacy evolution: Historical and conceptual dimensions

This study provides an historical overview of the IDF Spokesperson’s Unit (ISU) from the early years of the State of Israel until 2009. Analyzing five periods during which the ISU played a key role in Israel's public diplomacy, this research sheds light on the challenges the ISU faced in different periods and circumstances and examines how the ISU tried to modify its methods and actions in response to geopolitical changes and media development, albeit not always successfully. The study suggests better understanding the adaptation process by applying a three-layer framework for analysis: the tactical layer, the strategic layer and the perceptional layer. The findings of this work demonstrate that in adapting to new circumstances, the ISU focused mainly on the tactical response level, with the result that it did not undertake any review or debate over the need for deeper perceptional changes in ISU policies.     

Stakeholder Perspectives on Children's Mental Health Needs and Supports in Six Low‐ and Middle‐Income Countries

Low‐ and middle‐income countries (LMIC) are faced with disproportionately high levels of unmet child mental health needs. This study explored through interviews the perspectives of 17 inter‐agency service stakeholders from Brazil, Indonesia, Kenya, Pakistan, Rwanda and Turkey on existing supports and challenges. Four themes emerged on the holistic nature of children's mental health needs linked with disadvantage; limited resources and skilled workforce; stigma; and strategies for future implementation, including awareness, parental engagement, skills‐based programmes and cultural adaptation. Stakeholder input is essential in conceptualising, developing and evaluating culturally appropriate interventions for vulnerable children in LMIC.     

Women's entrepreneurship,neoliberalism and economic justice in the postfeminist era: A discourse analysis of policy change in Sweden

Since the early 1990s, there has been investment in women's entrepreneurship policy (WEP) in Sweden, which continued until 2015. During the same period, Sweden assumed neoliberal policies that profoundly changed the position of women within the world of work and business. The goals for WEP changed as a result, from entrepreneurship as a way to create a more equal society, to the goal of unleashing women's entrepreneurial potential so they can contribute to economic growth. To better understand this shift we approach WEP as a neoliberal governmentality which offers women ‘entrepreneurial’ or ‘postfeminist’ subject positions. The analysis is inspired by political theorist Nancy Fraser who theorized the change as the displacement of socioeconomic redistribution in favour of cultural recognition, or identity politics. We use Fraser's concepts in a discourse analysis of Swedish WEP over two decades, identifying two distinct discourses and three discursive displacements. Whilst WEP initially gave precedence to a radical feminist discourse that called for women's collective action, this was replaced by a postfeminist neoliberal discourse that encouraged individual women to assume an entrepreneurial persona, start their own business, compete in the marketplace and contribute to economic growth. The result was the continued subordination of women business owners, but it also obscured or rendered structural problems/solutions, and collective feminist action, irrelevant.     

The additive hazards model with high-dimensional regressors

This paper considers estimation and prediction in the Aalen additive hazards model in the case where the covariate vector is high-dimensional such as gene expression measurements. Some form of dimension reduction of the covariate space is needed to obtain useful statistical analyses. We study the partial least squares regression method. It turns out that it is naturally adapted to this setting via the so-called Krylov sequence. The resulting PLS estimator is shown to be consistent provided that the number of terms included is taken to be equal to the number of relevant components in the regression model. A standard PLS algorithm can also be constructed, but it turns out that the resulting predictor can only be related to the original covariates via time-dependent coefficients. The methods are applied to a breast cancer data set with gene expression recordings and to the well known primary biliary cirrhosis clinical data.     

论新时期网络参政与中国民主政治发展

新时期网络参政对中国民主政治发展促进作用将更加明显,是有中国特色民主政治发展的重要内容之一。网络参政的作用已经引起了党和国家领导人的重视,地方党和政府的负责人也逐渐注意到网络参政的实际意义,其作用主要体现在：促进参与式民主的发展;促进传统集权等级制权力结构的转换;促进社会平等;促进政治、政府公开的发展;促进选民与人大代表的沟通;促进公民政治社会化的加强。网络参政还是把双刃剑,应该加强规范和管理。     

Cumulative correspondence analysis of ordered categorical data from industrial experiments

Most studies of quality improvement deal with ordered categorical data from industrial experiments. Accounting for the ordering of such data plays an important role in effectively determining the optimal factor level of combination. This paper utilizes the correspondence analysis to develop a procedure to improve the ordered categorical response in a multifactor state system based on Taguchi's statistic. Users may find the proposed procedure in this paper to be attractive because we suggest a simple and also popular statistical tool for graphically identifying the really important factors and determining the levels to improve process quality. A case study for optimizing the polysilicon deposition process in a very large-scale integrated circuit is provided to demonstrate the effectiveness of the proposed procedure.     

Another look at Huber's estimator: A new minimax estimator in regression with stochastically bounded noise

Huber's estimator has had a long lasting impact, particularly on robust statistics. It is well known that under certain conditions, Huber's estimator is asymptotically minimax. A moderate generalization in rederiving Huber's estimator shows that Huber's estimator is not the only choice. We develop an alternative asymptotic minimax estimator and name it regression with stochastically bounded noise (RSBN). Simulations demonstrate that RSBN is slightly better in performance, although it is unclear how to justify such an improvement theoretically. We propose two numerical solutions: an iterative numerical solution, which is extremely easy to implement and is based on the proximal point method; and a solution by applying state-of-the-art nonlinear optimization software packages, e.g., SNOPT. Contribution: the generalization of the variational approach is interesting and should be useful in deriving other asymptotic minimax estimators in other problems.     

Regularization through variable selection and conditional MLE with application to classification in high dimensions

It is often the case that high-dimensional data consist of only a few informative components. Standard statistical modeling and estimation in such a situation is prone to inaccuracies due to overfitting, unless regularization methods are practiced. In the context of classification, we propose a class of regularization methods through shrinkage estimators. The shrinkage is based on variable selection coupled with conditional maximum likelihood. Using Stein's unbiased estimator of the risk, we derive an estimator for the optimal shrinkage method within a certain class. A comparison of the optimal shrinkage methods in a classification context, with the optimal shrinkage method when estimating a mean vector under a squared loss, is given. The latter problem is extensively studied, but it seems that the results of those studies are not completely relevant for classification. We demonstrate and examine our method on simulated data and compare it to feature annealed independence rule and Fisher's rule.     

On the stability of the risk hull method for projection estimators

We consider in this paper the regularization by projection of a linear inverse problem Y=Af+εξ$Y=\mathit{Af}+\epsilon \xi$ where ξ$\xi$ denotes a Gaussian white noise, A   a compact operator and ε>0$\epsilon >0$ a noise level. Compared to the standard unbiased risk estimation (URE) method, the risk hull minimization (RHM) procedure presents a very interesting numerical behavior. However, the regularization in the singular value decomposition setting requires the knowledge of the eigenvalues of A$A$. Here, we deal with noisy eigenvalues: only observations on this sequence are available. We study the efficiency of the RHM method in this situation. More generally, we shed light on some properties usually related to the regularization with a noisy operator.