Hard Rock Hallelujah! Empowering Reflexive Political Action on the Internet

The role of the Internet is becoming increasingly significant with regard to political participation and mobilisation. The Internet is a powerful tool in gathering coalitions and organising mobilisation of any kind. However, it is also transforming political styles, forms and the organisational structuring of political activities. In this article, the authors analyse the nature of the political struggle and resistance taking place on the Internet by scrutinising the Finnish Internet protest campaigning against gossip journalism in May 2006. This campaign emerged almost entirely in the Internet environment around the emotional turmoil caused by the publications of the Eurovision Song Contest winner Lordi’s unmasked pictures. This example shows how citizens have adopted the logic of computer‐mediated communication, and how they employ information and communications technology for reflexive individualised politics.     

Support and Control among ‘Friends’ and ‘Special Friends’: Peer Groups' Social Resources as Emotional and Moral Performances amidst Teenagers

Children are often regarded as being supported and controlled by adults, rather than their peer groups. In contrast, drawing on research carried out in Finland, this article considers peers as a resource. Using mainly a 14‐year‐old’s oral narratives, it is shown how the spatial and social context enables and inhibits children’s mutual support and control, reflecting and producing social and moral positions, and inclusion and exclusion. The analysis exploits the performance approach, which stresses children’s active role in the formation of social resources and reconstructs support and control from a child’s point of view.     

Assessing small non-zero perceptions of chance: The case of H1N1 (swine) flu risks

Feelings of invulnerability, seen in judgments of 0% risk, can reflect misunderstandings of risk and risk behaviors, suggesting increased need for risk communication. However, judgments of 0% risk may be given by individuals who feel invulnerable, and by individuals who are rounding from small non-zero probabilities. We examined the effect of allowing participants to give more precise responses in the 0–1% range on the validity of reported probability judgments. Participants assessed probabilities for getting H1N1 influenza and dying from it conditional on infection, using a 0–100% visual linear scale. Those responding in the 0–1% range received a follow-up question with more options in that range. This two-step procedure reduced the use of 0% and increased the resolution of responses in the 0–1% range. Moreover, revised probability responses improved predictions of attitudes and self-reported behaviors. Hence, our two-step procedure allows for more precise and more valid measurement of perceived invulnerability.     

Integration between flow scheduling and personnel allocation in a parallel line system in automotive industry

A state-of-the-art review over fifty years of flow shop scheduling research, written by Gupta and Stafford (2006), comes to the conclusion that the mathematical theory of flow shop scheduling “suffers from too much abstraction and too little application”. In this paper we will develop an extended mathematical model for flow shop scheduling with parallel lines and simultaneously a worker assignment to machines as well as a solution concept for practical use. Such production systems are realized by applying the BTO-(Build to order) concept, as can be found in the automotive or computer industry, which allows customers to make any changes to their vehicles or hardware configuration within a few days before final assembly. In these cases late configuration is an important task for the producer and a complex scheduling problem arises in this context.     

Interviews with Children Exposed to Violence

The aim of this article is to show how research practices may simultaneously follow principles of children’s citizenship rights to participation and principles of protection and support when children exposed to violence are informants. The article focuses upon organisation of interview processes and interactions between adult researchers and child informants in interview encounters. We point to a number of ways in which one may negotiate the tensions between, on the one hand, victimised children’s vulnerability and dependence upon adults for protection and support, and on the other these children’s agency and rights to participation.     

Bayesian networks for sex-related homicides: structure learning and prediction

Sex-related homicides tend to arouse wide media coverage and thus raise the urgency to find the responsible offender. However, due to the low frequency of such crimes, domain knowledge lacks completeness. We have therefore accumulated a large data-set and apply several structural learning algorithms to the data in order to combine their results into a single general graphic model. The graphical model broadly presents a distinction between an offender and a situation-driven crime. A situation-driven crime may be characterised by, amongst others, an offender lacking preparation and typically attacking a known victim in familiar surroundings. On the other hand, offender-driven crimes may be identified by the high level of forensic awareness demonstrated by the offender and the sophisticated measures applied to control the victim. The prediction performance of the graphical model is evaluated via a model averaging approach on the outcome variable offender's age. The combined graph undercuts the error rate of the single algorithms and an appropriate threshold results in an error rate of less than 10%, which describes a promising level for an actual implementation by the police.     

Evidence-Based Assessment and Application of Prognostic Markers: The Long Way from Single Studies to Meta-Analysis

In recent years, several attempts have been made to characterize the generalized Pareto distributions (GPD) based on the properties of order statistics and record values. In the present article, we give some characterization results on GPD based on order statistics and generalized order statistics. Some characterizations of uniform distribution based on expectation of some functions of order statistics are also given.     

Estimation of entropy-type integral functionals

ABSTRACT

Entropy-type integral functionals of densities are widely used in mathematical statistics, information theory, and computer science. Examples include measures of closeness between distributions (e.g., density power divergence) and uncertainty characteristics for a random variable (e.g., Rényi entropy). In this paper, we study U-statistic estimators for a class of such functionals. The estimators are based on ε-close vector observations in the corresponding independent and identically distributed samples. We prove asymptotic properties of the estimators (consistency and asymptotic normality) under mild integrability and smoothness conditions for the densities. The results can be applied in diverse problems in mathematical statistics and computer science (e.g., distribution identification problems, approximate matching for random databases, two-sample problems).     

A comparison of mixed and minimax estimators of linear models

In this paper the stochastic properties of two estimators of linear models, mixed and minimax, based on different types of prior information, are compared using quadratic risk as the criterion for superiority. A necessary and sufficient condition for the minimax estimator to be superior to the comparable mixed estimator is derived as well as a simpler necessary but not sufficient condition.