Impulsivity traits and gambling cognitions associated with gambling preferences and clinical status

Impulsivity (and related traits reward/punishment sensitivity and tolerance to delayed rewards) and gambling cognitions have been linked to gambling. However, their independent associations with gambling preferences and clinical status have never been dissociated. The current study applied a data-driven strategy to identify gambling preferences, based on gambling frequency in several modalities. The two resulting factors were used to classify gambling disorder patients (GDPs) and non-problem recreational gamblers (RGs) into Type I (preferring cards, casino games and skill-based bets) and Type II (preferring slot machines, lotteries/pools and bingo). Participants were assessed in impulsivity, delay discounting, reward/punishment sensitivity, gambling-related cognitions, gambling severity, gambling frequency and average amount gambled per episode. GDPs scored higher than RGs in positive and negative urgency, delay discounting, reward sensitivity and intensity of gambling-related cognitions, but less in lack of perseverance. Additionally, Type II gamblers had greater difficulties delaying gratification, whereas Type I gamblers showed higher cognitive distortion and reward sensitivity levels. In practical terms, the finding that some characteristics are equally pervasive in disordered gamblers independently of their preferences (affect-driven impulsivity), whereas others (distorted cognitions, reward sensitivity, delay discounting) are more prominent in one type or the other, provides a basis to establish targets’ priority in therapy.     

The working practices of Birmingham's Centre for Contemporary Cultural Studies

This article offers a history of the working practices of the Birmingham Centre for Contemporary Cultural Studies. Based on extensive interviews with former members and on research into a new archive of the Centre, housed in the Cadbury Research Library, University of Birmingham, it argues that cultural studies as practised in the 1970s was always a heterogeneous subject. The CCCS was heavily influenced by the events of 1968 when it tried to develop a new type of radical and collaborative research and teaching agenda. Despite Stuart Hall's efforts to impose a focused link between politics and academic practice, the agenda soon gave way to a series of diverse and fruitful initiatives associated with the ‘sub-groups’ model of research.     

Detecting the interaction of quantity and quality: A study of Fisher's analysis

In Sections 49 and 50 of the Design of Experiments, Fisher discusses an experiment designed to compare the effects of several types of manure on yield. Each type of manure is applied at three dosage levels: zero, single, and double doses. Fisher points out that the usual contrasts constructed for a factorial experiment are unsatisfactory in this setting. In particular, since the response curves necessarily meet at the zero dose, the usual notion of interaction as a lack of parallelism cannot apply. Fisher then gives an appropriate definition for interaction in this setting. This paper is concerned with a class of orthogonal polynomials that can be used as an aid in the detection of this modified definition of interaction.     

Winners and losers in the post‐communist transformation: The czech republic in comparative perspective

The gradual dismantling of redistributive practices as part of the transition to a market economy, together with an increase in wage, income, and wealth inequalities make those who actually profited (in relative terms) from the socialist redistribution feel like ‘losers’ of the transformation. Conversely, those who were relatively disfavoured by the communist redistributive policies and who feel strong today in the competition for better life‐chances may consider themselves ‘winners’ of the transition process. This article considers who are the winners and losers informer communist countries and what impact this factor has on the crystallization of political attitudes. The principle assumption is that the two segments of the population uphold quite different views on the consequences of the transition to a market economy and democracy for their life‐chances and maintain different positions on the political spectrum. The analysis starts from a subjective definition of winners and losers based on the perception of ones’ change in social status (social status of the family) and economic situation (families’ wealth) during the years of transformation. Then, objective characteristics of the two groups are examined. Finally, the effects of being a loser or winner on left or right political orientations are analyzed.     

A three-phased local search approach for the clique partitioning problem

This paper presents a three-phased local search heuristic CPP-P\(^{3}\) for solving the Clique Partitioning Problem (CPP). CPP-P\(^{3}\) iterates a descent search, an exploration search and a directed perturbation. We also define the Top Move of a vertex, in order to build a restricted and focused neighborhood. The exploration search is ensured by a tabu procedure, while the directed perturbation uses a GRASP-like method. To assess the performance of the proposed approach, we carry out extensive experiments on benchmark instances of the literature as well as newly generated instances. We demonstrate the effectiveness of our approach with respect to the current best performing algorithms both in terms of solution quality and computation efficiency. We present improved best solutions for a number of benchmark instances. Additional analyses are shown to highlight the critical role of the Top Move-based neighborhood for the performance of our algorithm and the relation between instance hardness and algorithm behavior.     

Large sample properties of nonparametric copula estimators under bivariate censoring

A new nonparametric estimator is proposed for the copula function of a bivariate survival function for data subject to random right-censoring. We consider two censoring models: univariate and copula censoring. We show strong consistency and we obtain an i.i.d. representation for the copula estimator. In a simulation study we compare the new estimator to the one of Gribkova and Lopez [Nonparametric copula estimation under bivariate censoring; doi:10.1111/sjos.12144].     

Symbolic play provides a fertile context for language development

In this study, we test the hypothesis that symbolic play represents a fertile context for language acquisition because its inherent ambiguity elicits communicative behaviors that positively influence development. Infant–caregiver dyads (N = 54) participated in two 20-minute play sessions six months apart (Time 1 = 18 months, Time 2 = 24 months). During each session, the dyads played with two sets of toys that elicited either symbolic or functional play. The sessions were transcribed and coded for several features of dyadic interaction and language; infants’ linguistic proficiency was measured via parental report. The two contexts elicited different communicative and linguistic behaviors. Notably, the symbolic play condition resulted in significantly greater conversational turn-taking than functional play, and also resulted in the greater use of questions and mimetics in infant-directed speech (IDS). In contrast, caregivers used more imperative clauses in functional play. Correlational and regression analyses showed that frequent properties of symbolic play (i.e., turn-taking, yes–no questions, mimetics) were positively related to infants’ language proficiency, whereas frequent features of functional play (i.e., imperatives in IDS) were negatively related. The results provide evidence supporting the hypothesis that symbolic play is a fertile context for language development, driven by the need to negotiate meaning.     

A multi-user tool for enhancing the daily replanning and control of visits in home care services

The uncertainty associated with patients’ demands and operators’ availabilities is the main complexity factor in planning health care activities. Thus, activity replanning is required to react to the variations and to guarantee a good service quality. A particularly complex replanning activity is required in Home Care (HC) services, where any variation to the plans involves several decisions related, e.g. to nurses’ travels. Such complexity makes impossible for planners to integrate and to effectively handle all of the information in real time with the classical HC management tools. In this work, we design, implement and validate a new visualisation tool to support HC planners in handling the data, to better perform their replanning activities. The tool consists of a desk equipped with an interactive map, where up to four planners can manage the information together in a multilayer configuration. This solution allows to manage the high amount of data in a more effective and natural way than the tabular form of the current commercial tools, due to both the horizontal map visualisation and the multilayer information provisioning. The prototype has been tested with real HC planners and expert users; outcomes show the capability to meet the gap between planners and information complexity, and to provide adequate support for replanning HC activities.