Basketball game-related statistics that discriminate between teams season-long success

The aim of the present study was to identify the game-related statistics that discriminate between season-long successful and unsuccessful basketball teams participating in the Spanish Basketball League (LEB1). The sample included all 145 average records per season from the 870 games played between the 2000-2001 and the 2005-2006 regular seasons. The following game-related statistics were gathered from the official box scores of the Spanish Basketball Federation: 2- and 3-point field-goal attempts (both successful and unsuccessful), free-throws (both successful and unsuccessful), defensive and offensive rebounds, assists, steals, turnovers, blocks (both made and received), and fouls (both committed and received). To control for season variability, all results were normalized to minutes played each season and then converted to z-scores. The results allowed discrimination between best and worst teams' performances through the following game-related statistics: assists (SC=0.47), steals (SC=0.34), and blocks (SC=0.30). The function obtained correctly classified 82.4% of the cases. In conclusion, season-long performance may be supported by players' and teams' passing skills and defensive preparation

Social network type and informal care use in later life:A comparison of three Dutch birth cohorts aged 75-84

Recent societal changes have increased the salience of non-kin relationships. It can be questioned whether networks types that are more strongly non-kin based give more informal care nowadays. We study how informal care use differs according to network type for three birth cohorts. Data from the Longitudinal Aging Study Amsterdam (LASA) on older adults aged 75-84 years, interviewed in 1992, 2002 and 2012 respectively (total sample size N=2151, analytical sample having functional limitations N=926). We found four network types: restricted, family-focused with partner, family-focused without partner and wider community-focused diverse networks. Wider-community focused diverse networks are more common in the late birth cohort, whereas restricted networks and family-focused networks without partner are less common. Logistic regression analyses reveal that those in a family-focused network with a partner use informal care more often than those in the other three network types, and insignificant interaction terms show that this does not differ by birth cohort. Irrespective of their network type, those in the late birth cohort use informal care less often. However, after controlling for need, predisposing and context factors, this cohort-difference is no longer significant. We conclude that despite large-scale societal changes, wider-community-focused diverse networks do not provide more informal care than before and that among the functionally impaired, the odds of receiving informal care does not decline across birth cohorts

A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initial placement of the cluster centers. Numerous initialization methods have been proposed to address this problem. In this paper, we first present an overview of these methods with an emphasis on their computational efficiency. We then compare eight commonly used linear time complexity initialization methods on a large and diverse collection of data sets using various performance criteria. Finally, we analyze the experimental results using non-parametric statistical tests and provide recommendations for practitioners. We demonstrate that popular initialization methods often perform poorly and that there are in fact strong alternatives to these methods.Comment: 17 pages, 1 figure, 7 table

Personality Disorder: What Predicts Acute Psychiatric Readmissions?

Individuals diagnosed with borderline personality disorder (BPD) often struggle with chronic suicidal thoughts and behaviors and have frequent acute psychiatric admissions. Prevention of serial admissions and disruptions in long-term treatment strategies is needed. This study explored predictors of how frequently and how quickly patients diagnosed with BPD are readmitted after an index psychiatric admission. The authors identified self-harming behavior as a predictor of readmission frequency, whereas depression and hallucinations and delusions predicted time elapsed between the index admission and the first readmission. The authors recommend that predictors of readmissions should be carefully monitored and treated following index admission

MaxMin Linear Initialization for Fuzzy C-Means

International audienceClustering is an extensive research area in data science. The aim of clustering is to discover groups and to identify interesting patterns in datasets. Crisp (hard) clustering considers that each data point belongs to one and only one cluster. However, it is inadequate as some data points may belong to several clusters, as is the case in text categorization. Thus, we need more flexible clustering. Fuzzy clustering methods, where each data point can belong to several clusters, are an interesting alternative. Yet, seeding iterative fuzzy algorithms to achieve high quality clustering is an issue. In this paper, we propose a new linear and efficient initialization algorithm MaxMin Linear to deal with this problem. Then, we validate our theoretical results through extensive experiments on a variety of numerical real-world and artificial datasets. We also test several validity indices, including a new validity index that we propose, Transformed Standardized Fuzzy Difference (TSFD)

Understanding travel behaviour change during mega-events: Lessons from the London 2012 Games

This paper presents results from a longitudinal study of the travel behaviour change associated with the London 2012 Olympic and Paralympic Games (the ‘Games’). The research examines commuter travel behaviour through a panel approach enabling an understanding of individual behaviour across three waves (before, during and after), with the study utilising unique access to a Transport for London panel study (n=1132). The findings indicate that a substantial amount of change occurred during the Games (54% made at least one change), with reducing or re-timing journeys being the most likely adaptations made. A key objective of this work was to advance the discussion about the theoretical constructs that are most applicable in the study of behaviour change associated with disruptive events, which was done through the application and critical evaluation of the Transtheoretical Model. The insights from the stages of change element of the model were relatively limited but the analysis shows significant differences in the underlying factors explaining change according to the type of change made (reduce, re-time, re-mode and re-route). Whilst the long-term behavioural impacts of events like the Games appear small, the study has uncovered a need to consider these behavioural choices as distinct rather than under the collective term of “travel behaviour change”, as is current practice

Public attitudes to the management of invasive non-native species in Scotland

Invasive non-native species are one of the main threats to biodiversity. Consequently there is a need to control or eradicate those species that are causing problems in order to mitigate their impact. Such management programmes can be controversial and in some cases have been delayed or halted because of opposition from pressure groups. Public support can be critical to the success of such projects, and understanding the underlying attitudes of the public can help inform outreach education activities. To assess attitudes towards invasive species management and investigate socio-demographic factors influencing such attitudes, a questionnaire survey of 600 randomly selected members of the public in Scotland was conducted, and a total of 248 completed questionnaires returned. The level of support for control and eradication programmes was, in general, high and was higher amongst men, older people, and people who had previously heard of control and eradication projects. The species to be managed influenced levels of support, and projects to control birds were the least supported. Respondents with prior knowledge of control and eradication programmes and members of conservation organisations, in general, showed higher levels of support, indicating the important role that awareness and education has in terms of increasing public support for invasive non-native species management projects

Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area

Introduction: Cardiovascular Disease (CVD) has been linked to "neighbourhood" socioeconomic status (nSES), often operationalized as a composite index of aggregate income, occupation and education within predefined administrative boundaries. The role of specific, non-composite socioeconomic markers has not been clearly explained. It is also unclear whether the relationship between nSES and CVD varies according to sex. We sought to determine whether area-level unemployment (ALU) was associated with CVD risk, and whether this association differed by sex. Methods: 342 individuals from the Montreal Neighbourhood Survey of Lifestyle and Health provided self-reported behavioural and socioeconomic information. A nurse collected biochemical and anthropometric data. ALU, a weighted average of the proportion of persons 15-years and older available for but without work, was measured using a Geographic Information System for a 250 m buffer centred on individual residence. Generalized Estimating Equations were used to estimate the associations between ALU, body mass index (BMI) and a cumulative score for total cardiometabolic risk (TCR). Results: After confounder adjustments, the mean 4th minus 1st quartile difference in BMI was 3.19 kg/m2 (95% CI: 2.39, 3.99), while the prevalence ratio for the 4th relative to 1st quartile for TCR was 2.20 (95 % CI: 1.53, 3.17). Sex interacted with ALU; women relative to men had greater mean 3.97 kg/m2 (95% CI: 2.08, 5.85) BMI and greater mean TCR 1.51 (95% CI: 0.78, 2.90), contrasted at mean ALU. Conclusions: Area-level unemployment is associated with greater CVD risk, and this association is stronger for women