PokerMapper: : mapping executive functions, poker playing ability and responsible gambling in online environments

Research objectives Poker and responsible gambling both entail the use of the executive functions (EF), which are higher-level cognitive abilities. The main objective of this work was to assess if online poker players of different ability show different performances in their EF and if so, which functions are the most discriminating ones. The secondary objective was to assess if the EF performance can predict the quality of gambling, according to the Gambling Related Cognition Scale (GRCS), the South Oaks Gambling Screen (SOGS) and the Problem Gambling Severity Index (PGSI). Sample and methods The study design consisted of two stages: 46 Italian active players (41m, 5f; age 32±7,1ys; education 14,8±3ys) fulfilled the PGSI in a secure IT web system and uploaded their own hand history files, which were anonymized and then evaluated by two poker experts. 36 of these players (31m, 5f; age 33±7,3ys; education 15±3ys) accepted to take part in the second stage: the administration of an extensive neuropsychological test battery by a blinded trained professional. To answer the main research question we collected all final and intermediate scores of the EF tests on each player together with the scoring on the playing ability. To answer the secondary research question, we referred to GRCS, PGSI and SOGS scores.  We determined which variables that are good predictors of the playing ability score using statistical techniques able to deal with many regressors and few observations (LASSO, best subset algorithms and CART). In this context information criteria and cross-validation errors play a key role for the selection of the relevant regressors, while significance testing and goodness-of-fit measures can lead to wrong conclusions.   Preliminary findings We found significant predictors of the poker ability score in various tests. In particular, there are good predictors 1) in some Wisconsin Card Sorting Test items that measure flexibility in choosing strategy of problem-solving, strategic planning, modulating impulsive responding, goal setting and self-monitoring, 2) in those Cognitive Estimates Test variables related to deductive reasoning, problem solving, development of an appropriate strategy and self-monitoring, 3) in the Emotional Quotient Inventory Short (EQ-i:S) Stress Management score, composed by the Stress Tolerance and Impulse Control scores, and in the Interpersonal score (Empathy, Social Responsibility, Interpersonal Relationship). As for the quality of gambling, some EQ-i:S scales scores provide the best predictors: General Mood for the PGSI; Intrapersonal (Self-Regard; Emotional Self-Awareness, Assertiveness, Independence, Self-Actualization) and Adaptability  (Reality Testing, Flexibility, Problem Solving) for the SOGS, Adaptability for the GRCS. Implications for the field Through PokerMapper we gathered knowledge and evaluated the feasibility of the construction of short tasks/card games in online poker environments for profiling users’ executive functions. These card games will be part of an IT system able to dynamically profile EF and provide players with a feedback on their expected performance and ability to gamble responsibly in that particular moment. The implementation of such system in existing gambling platforms could lead to an effective proactive tool for supporting responsible gambling. 

Pregnancy-related low back pain and pelvic girdle pain approximately 14 months after pregnancy : pain status, self-rated health and family situation

Background: Pelvic girdle pain (PGP) in pregnancy is distinct from pregnancy-related low back pain (PLBP). However, women with combined PLBP and PGP report more serious consequences in terms of health and function. PGP has been estimated to affect about half of pregnant women, where 25% experience serious pain and 8% experience severe disability. To date there are relatively few studies regarding persistent PLBP/PGP postpartum of more than 3 months, thus the main objective was to identify the prevalence of persistent PLBP and PGP as well as the differences over time in regard to pain status, self-rated health (SRH) and family situation at 12 months postpartum. Methods: The study is a 12 month follow-up of a cohort of pregnant women developing PLBP and PGP during pregnancy, and who experienced persistent pain at 6 month follow-up after pregnancy. Women reporting PLBP/PGP (n = 639) during pregnancy were followed up with a second questionnaire at approximately six month after delivery. Women reporting recurrent or persistent LBP/PGP at the second questionnaire (n = 200) were sent a third questionnaire at 12 month postpartum. Results: A total of 176 women responded to the questionnaire. Thirty-four women (19.3%) reported remission of LBP/PGP, whereas 65.3% (n = 115) and 15.3% (n = 27), reported recurrent LBP/PGP or continuous LBP/PGP, respectively. The time between base line and the 12 months follow-up was in actuality 14 months. Women with previous LBP before pregnancy had an increased odds ratio (OR) of reporting 'recurrent pain' (OR = 2.47) or 'continuous pain' (OR = 3.35) postpartum compared to women who reported 'no pain' at the follow-up. Women with 'continuous pain' reported statistically significant higher level of pain at all measure points (0, 6 and 12 months postpartum). Non-responders were found to report a statistically significant less positive scoring regarding relationship satisfaction compared to responders. Conclusions: The results from this study demonstrate that persistent PLBP/PGP is a major individual and public health issue among women 14 months postpartum, negatively affecting their self-reported health. However, the perceived relationship satisfaction seems to be stable between the groups.

Methodological considerations in the measurement of institutional and structural forms of HIV discrimination

The systematic measurement of HIV/AIDS-related discrimination is imperative within the current rhetoric that holds discrimination as one of the two ‘biggest' barriers to HIV/AIDS pandemic intervention. This paper provides a methodological critique of the UNAIDS (2000b) Protocol for the Identification of Discrimination against People Living with HIV (the Protocol) . Specifically, the paper focuses on the Protocol's capacity to accurately identify and measure institutional levels of HIV-related discrimination that allows data that are reliable and comparable across time and contexts. Conceptual issues including the Protocol's objective as an indicator versus a direct measure of discrimination and the role of the Protocol as a tool of research versus a tool of advocacy are explored. Design issues such as the operationalization of discrimination, appropriateness of indicator content, sampling and data collection strategies and issues of scoring are also evaluated. It is hoped that the matters outlined will provide readers with ways of critically reflecting and evaluating the findings of the research papers presented in this Special Issue, as well as pointing to ways of improving research design.

A computational framework for nucleic acid sub-sequence identification

Identification of nucleic acid sub-sequences within larger background sequences is a fundamental need of the biology community. The applicability correlates to research studies looking for homologous regions, diagnostic purposes and many other related activities. This paper serves to detail the approaches taken leading to sub-sequence identification through the use of hidden Markov models and associated scoring optimisations. The investigation of techniques for locating conserved basal promoter elements correlates to promoter thus gene identification techniques. The case study centred on the TATA box basal promoter element, as such the background is a gene sequence with the TATA box the target. Outcomes from the research conducted, highlights generic algorithms for sub-sequence identification, as such these generic processes can be transposed to any case study where identification of a target sequence is required. Paths extending from the work conducted in this investigation have led to the development of a generic framework for the future applicability of hidden Markov models to biological sequence analysis in a computational context.

Effective mathematics learning environments : primary teachers' beliefs and practices

A first priority for changing teaching practice is to make problematic for teachers aspects of their current practice. As part of a project on improving mathematics and science teaching in the middle years of schooling, teachers were asked to rate their practice against components of effective teaching and learning and to rate each of these according to their perceived importance. Findings suggest that primary teachers endorsed the components as representing effective practice, scoring most components higher than their actual practice. Gaps were particularly evident for items relating to challenging students conceptually and higher-order thinking, with these becoming the basis for some of the action planning for change.

A pHMM-ANN based discriminative approach to promoter identification in prokaryote genomic contexts

The computational approach for identifying promoters on increasingly large genomic sequences has led to many false positives. The biological significance of promoter identification lies in the ability to locate true promoters with and without prior sequence contextual knowledge. Prior approaches to promoter modelling have involved artificial neural networks (ANNs) or hidden Markov models (HMMs), each producing adequate results on small scale identification tasks, i.e. narrow upstream regions. In this work, we present an architecture to support prokaryote promoter identification on large scale genomic sequences, i.e. not limited to narrow upstream regions. The significant contribution involved the hybrid formed via aggregation of the profile HMM with the ANN, via Viterbi scoring optimizations. The benefit obtained using this architecture includes the modelling ability of the profile HMM with the ability of the ANN to associate elements composing the promoter. We present the high effectiveness of the hybrid approach in comparison to profile HMMs and ANNs when used separately. The contribution of Viterbi optimizations is also highlighted for supporting the hybrid architecture in which gains in sensitivity (+0.3), specificity (+0.65) and precision (+0.54) are achieved over existing approaches.

Adaptive communal detection in search of adversarial identity crime

This paper is on adaptive real-time searching of credit application data streams for identity crime with many search parameters. Specifically, we concentrated on handling our domain-specific adversarial activity problem with the adaptive Communal Analysis Suspicion Scoring (CASS) algorithm. CASS's main novel theoretical contribution is in the formulation of State-of- Alert (SoA) which sets the condition of reduced, same, or heightened watchfulness; and Parameter-of-Change (PoC) which improves detection ability with pre-defined parameter values for each SoA. With pre-configured SoA policy and PoC strategy, CASS determines when, what, and how much to adapt its search parameters to ongoing adversarial activity. The above approach is validated with three sets of experiments, where each experiment is conducted on several million real credit applications and measured with three appropriate performance metrics. Significant improvements are achieved over previous work, with the discovery of some practical insights of adaptivity into our domain.

A Rasch anaylsis of a self-perceived change in quality of life scale in patients with mild stroke

A Rasch analysis was used to assess the unidimensionality and appropriateness of the scoring level of a 13-item self-perceived change in quality of life scale (CQOL) for stroke patients. A total of 158 patients with mild stroke completed the CQOL themselves at home. The results showed that a unidimensional CQOL can be created by deleting the three items related to speaking, vision, and thinking. The 4 scoring categories of the shortened scale were deemed appropriate from the analysis. These results provide preliminary evidence of the 10-item CQOL in assessing self-perceived change in quality of life in stroke patients. Further studies are needed to examine the test-retest reliability, criterion validity, and responsiveness of the 10-item CQOL in stroke patients.

Doing it with dominoes

Discusses the use of domino game in teaching mathematics. Mechanics of the scoring system for the game; Variants of the game; Conceptualizing domino games.

Predicting timely doctoral completions : an institutional case study of 2000-2005 doctoral graduates

Federal government changes to the funding of doctoral students have focussed the attention of university management on their completion rates. The aims are to inform the allocation of institutional resources in a manner that improves the likelihood of timely doctoral completions and to highlight a process that can also be used for analyses of other key indicators of progression and attrition. The analyses and model development used national data readily available to all universities, which is collected in a standard approach through the Graduate Destinations Survey (GDS). The findings show that the most important variable for timely completion was attendance (full‐ versus part‐time), where in terms of full‐time equivalent (FTE) years of study, part‐time students were far more likely to complete quickly than full‐time students. For the full‐time students the key predictors of timely completion were residency, field of study and English‐speaking background (ESB). The timeliness of part‐time students was predicted by field of study and ESB. This study confirms that there is considerable variation by discipline for timely doctoral completions. The pragmatic application and prospective test of the derived models present a variety of opportunities for research student administrators. For example, those full‐time students scoring highly represented a concentration of timely graduates more than 7.5 times higher than the lowest‐scoring group – almost an order of magnitude of difference. In short, university management could gain tremendous value from more widely using the data available.

Inhibition and facilitation in schizotypy

Participants scoring high and low on a schizotypy scale (n = 18 in each group) switched between naming words and naming colors in a Stroop task in congruent, neutral, and incongruent conditions. The findings were that, while being slower and less accurate overall than low schizotypes, the high schizotypy group did not display disproportionately greater Stroop inhibition or facilitation, suggesting intact selective attention. However, the high schizotypy group suffered disproportionately larger switching costs. The results provide evidence for similarities between schizotypy and schizophrenia, specifically that the problem in schizotypy is to do with switching rather than selecting attention, because of a difficulty either in selecting task-relevant information or in inhibiting inappropriate response alternatives.

Predictors of timely doctoral student completions by type of attendance: the utility of a pragmatic approach

Federal government changes to the funding of doctoral students have focused the attention of university management on their completion rates. The aims of this paper are to inform the allocation of institutional resources in a manner that improves the likelihood of timely doctoral completions and to highlight a process that can also be used for analyses of other key indicators of progression and attrition. The analyses and model development used national data readily available to all universities, which are collected in a standard approach through the Graduate Destinations Survey (GDS). The findings show that the most important variable for timely completion was attendance (full-time compared with part-time), whereby in terms of full-time equivalent (FTE) years of study, part-time students were far more likely to complete quickly than full-time students. For the full-time students, the key predictors of timely completion were residency, field of study and English-speaking background (ESB). The timeliness of part-time students was predicted by field of study and ESB. This study confirms that there is considerable variation by discipline for timely doctoral completions. The pragmatic application and prospective test of the derived models present a variety of opportunities for research student administrators. For example, those full-time students scoring highly represented a concentration of timely graduates more than 7.5 times higher than the lowest-scoring group - almost an order of magnitude of difference. In short, university management could gain tremendous value from more widely using the data available.

Shut the decimal box - a mathematics dice game

The table-top game of Shut the Box is popular in Europe and England, but not well known in Australia. Sets can be purchased, but the game can be played with home-made equipment. A variant of the game which illustrates the standard rules, with a decimal twist to the scoring, is described. A list of the equipment required is also provided.

Stakeholder satisfaction with the Australian Rheumatology Association Database (ARAD)

Background: The Australian Rheumatology Association Database (ARAD) is a voluntary national registry for monitoring the long-term benefits and safety of biological disease-modifying anti-rheumatic drugs (bDMARDs) for inflammatory arthritis. Both rheumatologists and patients contribute data to the ARAD.

Objective: To evaluate the satisfaction of patients and rheumatologists with the ARAD.

Methods: Cross-sectional surveys were distributed to a random sample of 100 community-dwelling ARAD patients in 2007 and to rheumatologists attending the 2007 AustralianRheumatologyAssociation (ARA) annual scientific meeting.

Survey questions included items about the usefulness of the ARAD, workload for participants, frequency of questionnaires, and experience of contact with ARAD staff.

Results: A total of 92.5% of patients perceived the ARAD as very important (scoring 9-10 on a numeric rating scale). Patients reported minimal difficulty in completing questionnaires, and 95.0% indicated that a 6-month interval between questionnaires was reasonable. Of responding rheumatologists, 32.3%, 62.1%, and 53.8% indicated that the ARAD was very important (scoring 8-10) with respect to clinical information, research, and the profession, respectively, while 68% of those participating in the ARAD reported that the workload required to enroll patients was manageable and 30% found it difficult or onerous.

Conclusion: Key stakeholders in the ARAD view it as an important resource and are satisfied with its operations. Efforts will be directed towards assisting those rheumatologists who find the associated workload difficult and to improving the perceived clinical value of information available from the ARAD.

A psychometric evaluation of the Gudjonsson Suggestibility Scales : problems associated with measuring suggestibility as a difference score composite

The current paper provides a detailed examination of the psychometric properties of the Gudjonsson Suggestibility Scales (Gudjonsson, 1997) which have been widely used to measure individual suggestibility. Several fundamental problems associated with the Shift and Total Suggestibility subscales are identified and discussed. Two arguably more conceptually coherent methods of scoring the Shift subscale (‘Shift-positive’ and ‘Shift-negative’) are introduced. A confirmatory factor analytic model based on two oblique factors and relative answering regression effects between corresponding items was tested and supported based on a sample of 220 children. Based on a latent variable estimation approach, the internal consistency reliabilities associated with the Shift subscale scores were found to be unacceptably low. Consequently, we propose that until the problems associated with Shift-standard and Total Suggestibility is addressed successfully, use of the GSS should be limited to the Yield subscale.