Naturalistic observation of drivers' interactions while overtaking on an undivided road

Current models of driving behavior and designs of driver support systems are not taking adequately into account the interactions between drivers. Although a driver's intended maneuver may not be physically possible at a specific time point, it may still be safely executed if the driver's intention is successfully communicated to and interpreted by another driver, who alters the own future trajectory so as to enable the maneuver execution. This paper presents some empirical findings relevant to communicative and cooperative interactions between drivers along naturalistic overtaking maneuvers on an undivided road. The cues used by drivers to interpret other drivers' intention and the drivers' interactions were extracted through video observations of the maneuvers together with the frequency of such interactions per level of traffic risk. The findings show that drivers use formal and informal cues to anticipate other drivers' intention. A significant percentage of maneuvers were performed after facilitation by other drivers. Future studies should focus on this phenomenon while future models of driving behavior should incorporate communicative and cooperative interactions among drivers, so as to design adequate cooperative support systems to enhance road safety.     

Distance domination in graphs with given minimum and maximum degree

For an integer \(k \ge 1\), a distance k-dominating set of a connected graph G is a set S of vertices of G such that every vertex of V(G) is at distance at most k from some vertex of S. The distance k-domination number \(\gamma _k(G)\) of G is the minimum cardinality of a distance k-dominating set of G. In this paper, we establish an upper bound on the distance k-domination number of a graph in terms of its order, minimum degree and maximum degree. We prove that for \(k \ge 2\), if G is a connected graph with minimum degree \(\delta \ge 2\) and maximum degree \(\Delta \) and of order \(n \ge \Delta + k - 1\), then \(\gamma _k(G) \le \frac{n + \delta - \Delta }{\delta + k - 1}\). This result improves existing known results.     

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

Summary.  Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox processes and geostatistical and geoadditive models. We consider approximate Bayesian inference in a popular subset of structured additive regression models, latent Gaussian models , where the latent field is Gaussian, controlled by a few hyperparameters and with non-Gaussian response variables. The posterior marginals are not available in closed form owing to the non-Gaussian response variables. For such models, Markov chain Monte Carlo methods can be implemented, but they are not without problems, in terms of both convergence and computational time. In some practical applications, the extent of these problems is such that Markov chain Monte Carlo sampling is simply not an appropriate tool for routine analysis. We show that, by using an integrated nested Laplace approximation and its simplified version, we can directly compute very accurate approximations to the posterior marginals. The main benefit of these approximations is computational: where Markov chain Monte Carlo algorithms need hours or days to run, our approximations provide more precise estimates in seconds or minutes. Another advantage with our approach is its generality, which makes it possible to perform Bayesian analysis in an automatic, streamlined way, and to compute model comparison criteria and various predictive measures so that models can be compared and the model under study can be challenged.     

Minority Stress,Emotion Regulation,and the Parenting of Sexual-Minority Youth

ABSTRACT

Despite increasing societal acceptance of sexual-minority individuals, there are still gay, lesbian, and bisexual (GLB) adolescents who experience negative mental health outcomes. Minority stress theory posits that stigma-related stress associated with sexual-minority status drives increased risk among GLB individuals. Furthermore, recent evidence suggests that minority stress impacts emotion regulation (ER), identified as a particularly important risk factor for sexual-minority youth (SMY). Current research has identified some aspects of parenting contribute to GLB youth's mental health. We review the literature in these areas, and also integrate research from the broader developmental field on families and emotion socialization in order to identify the need for studies of parenting that go beyond existing data on parental acceptance and supportiveness of youth's sexual orientation. Limitations of the current literature and directions for future research are discussed, with specific focus on implications for interventions with SMY and their families.     

In Vino Pecunia? The Association Between Beverage-Specific Drinking Behavior and Wages

The positive association between moderate alcohol consumption and wages is well documented in the economic literature. Positive health effects as well as networking mechanisms serve as explanations for the “alcohol–income puzzle.” Using individual-based microdata from the SOEP for 2006, we confirm that this relationship exists for Germany as well. More importantly, we shed light on the alcohol–income puzzle by analyzing, for the first time, the association between beverage-specific drinking behavior and wages. In our analysis, we disentangle the general wage effect of drinking into diverse effects for different types of drinkers. Mincerian estimates reveal significant and positive relationships between wine drinkers and wages as well as between multiple beverage drinkers and wages. When splitting the sample into age groups, the “drinking gain” disappears for employees under the age of 35 and increases in size and significance for higher age groups. We also find a “beer gain” for the oldest age group and male residents of rural areas as well as a “cocktail gain” for residents of urban areas. Several explanations for our empirical results are discussed in view of the likelihood that the alcohol–income puzzle is a multicausal phenomenon.

Que faire de la compassion au travail ? La réflexivité stratégique des avocats à l’audience

The article explores the way in which professionals who are exposed to people's testimonies of suffering manage to integrate compassion into their work. Research has shown how compassion is a problematic emotion for such professionals, and has identified the forms of reflexivity that they employ to handle the tensions that such feelings arouse. By examining legal work — in particular the practices of lawyers in a criminal trial where a large number of victims are present — the article makes a new contribution to the study of compassion in the workplace. It identifies the normative repertoire which lawyers use to construct an appropriate attitude towards victims and analyses how, within the framework of strategic reflexivity, lawyers mobilise this repertoire to suit the particular interests they are representing at the trial.     

The Impact of Patronymic Attractiveness on Employability

We link patronymics (first and last names presented together) to success in the job market by investigating the influence of name attractiveness on employability. Using data from a recruitment agency, we tested (binomial regression) for effects associated with age, gender, and name attractiveness on job interview outcomes. We found that candidates with more attractive patronymics were more likely to be retained by employers.     

Does the sense of the geographic proximity of a requester influence donation? Three evaluations in field studies

It has been reported that familiarity or incidental similarities with a stranger influenced an individual’s behavior. However, the effect of the sense of geographical proximity believing that someone comes from the same area that somebody has never been examined. Three field experiments examined this effect on donations to humanitarian organizations. In the first study, participants were asked by a confederate to donate food products to a humanitarian organization. In Study 2, participants were asked by confederates to donate money for children. In Study 3, donation boxes were displayed in bakeries with a message that invited customers to donate money for children. In all the studies, participants were led to believe that they would be helping people in need or people who live in their national or local geographic area. Results showed that donations were higher in the geographical proximity condition. This “neighborhood effect” was discussed.     

Women's Hair Color and Survey Response Rate: A Field Experiment

Previous research found that survey response rates were influenced by physical characteristics of the interviewer. However, the effect of hair color on compliance to a survey request has never been studied. Female confederates wearing blond, brown, black, or red wigs solicited 1,200 male and female pedestrians for a survey. It was found those male passersby, but not the female, agreed more frequently to the confederates wearing blond wigs whereas they agreed less to the same confederates wearing red wigs. Greater youth and healthiness associated with blond hair in women is used to explain these results. The practical interest in face-to-face surveys is addressed.     

More on the stable,generalized stable,absorbing and admissible sets

We show the necessary and sufficient conditions for any two of the sets of stable, generalized stable, absorbing or admissible sets of an abstract decision problem to coincide. We show that all these conditions can be written as depending only on the number of predecessors or successors of some alternatives.