Broadcasting multiple messages in the 1-in port model in optimal time

In the 1-in port model, every vertex of a synchronous network can receive at most one message in each time unit. We consider simultaneous broadcasting of multiple messages from the same source or from distinct sources in such networks with an additional restriction that every received message can be sent out to neighbors only in the next time unit and never to already informed vertex. We use a general concept of level-disjoint partitions developed for this scenario. Here we introduce a subgraph extension technique for efficient spreading information within this concept. Surprisingly, this approach with so called biwheels leads to simultaneous broadcasting of optimal number of messages on a wide class of graphs in optimal time. In particular, we provide tight results for bipartite tori, meshes, hypercubes, Knödel graphs, circulant graphs. We also propose several open problems and conjectures.     

Sozialer Status und prosoziales Handeln: Ein Quasi-Experiment im Krankenhaus

Sociological, social psychological and economic research on the nexus between socioeconomic status and prosociality has so far provided contradictory findings. Some studies suggest that actors with a high socioeconomic status act more egoistically than actors with a lower socioeconomic status. Other studies find the opposite to be true. In contrast to previous research, which has worked with one-dimensional measures for socioeconomic status, this study examines prosocial behavior among occupational groups that have regular real-life contact in their workspace. About 150 hospital employees (physicians, nursing staff and nursing students) participated in experiments on altruistic giving in dictator games. The findings are surprisingly strong and clear-cut: Actors with higher social status act more prosocial than low-status actors. Furthermore, we find hardly any in-group effects, which have been repeatedly postulated. Our findings support the claim that high status promotes prosocial behavior. Also, they indicate that the inconclusive and in part contradictory findings provided by previous research stem to a considerable degree from deficient measures of social status and problematic experimental designs.     

Strengthening family cohesion through shared participation of family members in religious activities in Croatia

This article presents research results pertaining to an examination of the relation between family members’ participation in shared religious activities, perception of family cohesion, satisfaction with family life, and the level of conflict in the family. The survey of 503 parents of preschool children was conducted in Zagreb, Croatia. The findings demonstrate a significant correlation between shared participation of family members in religious activities, perception of family cohesion and satisfaction with family life, but not with perception of the level of conflict in the family. The results suggest that spiritual and religious matters are an important element necessary for understanding family functioning, and that cultivating shared religious practices in the family can contribute to the strengthening of family cohesion and greater satisfaction with family life.     

Bibliometric Network Analysis and Visualization for Serials Librarians: An Introduction to Sci2

ABSTRACT

Bibliometric data have the potential to inform collection development, describe institutional scholarship strengths and citation patterns, and suggest potential areas of research collaboration. This article introduces methods of using data from citation databases to generate bibliometric analyses of journal titles, subject matter, and coauthorship networks using the open software tool Science of Science (Sci2). These analyses can be used to enhance responsive institutional and network collecting and to connect users to additional research and publication partners.     

The characterization of Monte Carlo errors for the quantification of the value of forensic evidence

Recent developments in forensic science have lead to a proliferation of methods for quantifying the probative value of evidence by constructing a Bayes Factor that allows a decision-maker to select between the prosecution and defense models. Unfortunately, the analytical form of a Bayes Factor is often computationally intractable. A typical approach in statistics uses Monte Carlo integration to numerically approximate the marginal likelihoods composing the Bayes Factor. This article focuses on developing a generally applicable method for characterizing the numerical error associated with Monte Carlo integration techniques used in constructing the Bayes Factor. The derivation of an asymptotic Monte Carlo standard error (MCSE) for the Bayes Factor will be presented and its applicability to quantifying the value of evidence will be explored using a simulation-based example involving a benchmark data set. The simulation will also explore the effect of prior choice on the Bayes Factor approximations and corresponding MCSEs.     

Cross-entropy method for estimation of posterior expectation in Bayesian VAR models

In this article, an importance sampling (IS) method for the posterior expectation of a non linear function in a Bayesian vector autoregressive (VAR) model is developed. Most Bayesian inference problems involve the evaluation of the expectation of a function of interest, usually a non linear function of the model parameters, under the posterior distribution. Non linear functions in Bayesian VAR setting are difficult to estimate and usually require numerical methods for their evaluation. A weighted IS estimator is used for the evaluation of the posterior expectation. With the cross-entropy (CE) approach, the IS density is chosen from a specified family of densities such that the CE distance or the Kullback–Leibler divergence between the optimal IS density and the importance density is minimal. The performance of the proposed algorithm is assessed in an iterated multistep forecasting of US macroeconomic time series.     

Uncovering the Truth: The Lake Perućac Exhumations in Eastern Bosnia

The aggression and genocide in Bosnia and Herzegovina (BiH) from 1992 to 1995 left an estimated 30,000 missing persons mainly Bosniaks (Bosnian Muslims). These victims consisted of mostly male civilians, but also a significant number of women, elderly and children. Remains of victims are being uncovered in mass graves by expert teams since 1996. The mass graves included various sites spread across the territory that became known as Republika Srpska after the war ended. In many cases ravines, rivers and lakebeds were used as mass graves where the bodies were dumped and hidden. This article describes the largest operation to uncover human remains of victims in BiH and beyond, which took place in 2010, and was undertaken by the Missing Persons Institute of BiH on the dried up surface of the Peru?ac Lake on the Drina River in Eastern Bosnia. This article aims to record the important aspects of the operation and the personal stories of the victims found.     

Preventing Religious Radicalization in Bosnia and Herzegovina: The Role of the BiH Islamic Community

The goal of the paper is to identify the Islamic Community’s methods of preventing religious radicalization in Bosnia and Herzegovina (BiH). The roots of radicalism and extremism are explained by examining “Islamic revival” and studied within the Bosnian context. Although BiH appears in many international reports as a potential “cradle of terrorism”, the situation on the ground is quite different and there are many instances of combined efforts by the government and religious institutions in preventing religious radicalization in BiH. The analysis focuses on the Islamic community’s efforts to contend the spread of illegal mosques that sometimes promote radical Islam in BiH. Although there are radical individuals with different and sometimes radical understanding of Islam, the majority of Bosnian Muslims oppose any form of religious radicalization. The Islamic Community plays the most important role in preventing the spread of radical Islam in BiH, and this paper analyzes its efforts to homogenize Bosnian Muslims and prevent radicalization.     

Comparison of efficiencies of some symmetry tests around an unknown centre

In this paper, some recent and classical tests of symmetry are modified for the case of an unknown centre. The unknown centre is estimated with its α-trimmed mean estimator. The asymptotic behaviour of the new tests is explored. The local approximate Bahadur efficiency is used to compare the tests to each other as well as to some other tests.     

Automated statistical methods for measuring the strength of block ciphers

A block cipher is one of the most common forms of algorithms used for data encryption. This paper describes an efficient set of statistical methods for analysing the security of these algorithms under the black-box approach. The procedures can be fully automated, which provides the designer or user of a block cipher with a useful set of tools for security analysis.