Effects of coaches' timeouts on basketball teams' offensive and defensive performances according to momentary differences in score and game period.

The aim of the present study was to assess the effects of game timeouts on basketball teams? offensive and defensive performances according to momentary differences in score and game period. The sample consisted of 144 timeouts registered during 18 basketball games randomly selected from the 2007 European Basketball Championship (Spain). For each timeout, five ball possessions were registered before (n?493) and after the timeout (n?475). The offensive and defensive efficiencies were registered across the first 35 min and last 5 min of games. A k-means cluster analysis classified the timeouts according to momentary score status as follows: losing ( ?10 to ?3 points), balanced ( ?2 to 3 points), and winning (4 to 10 points). Repeated-measures analysis of variance identified statistically significant main effects between pre and post timeout offensive and defensive values. Chi-square analysis of game period identified a higher percentage of timeouts called during the last 5 min of a game compared with the first 35 min (64.999.1% vs. 35.1910.3%; x ?5.4, PB0.05). Results showed higher post timeout offensive and defensive performances. No other effect or interaction was found for defensive performances. Offensive performances were better in the last 5 min of games, with the least differences when in balanced situations and greater differences when in winning situations. Results also showed one interaction between timeouts and momentary differences in score, with increased values when in losing and balanced situations but decreased values when in winning situations. Overall, the results suggest that coaches should examine offensive and defensive performances according to game period and differences in score when considering whether to call a timeout.

Performance profiles of football teams in the UEFA Champions League considering situational efficiency

Performance of football teams varies constantly due to the dynamic nature of this sport, whilst the typical performance and its spread can be represented by profiles combining different performance-related variables based on data from multiple matches. The current study aims to use a profiling technique to evaluate and compare match performance of football teams in the UEFA Champions League incorporating three situational variables (i.e. strength of team and opponent, match outcome and match location). Match statistics of 72 teams, 496 games across four seasons (2008-09 to 2012-13) of this competition were analysed. Sixteen performance-related events were included: shots, shots on target, shots from open play, shots from set piece, shots from counter attack, passes, pass accuracy (%), crosses, through balls, corners, dribbles, possession, aerial success (%), fouls, tackles, and yellow cards. Teams were classified into three levels of strength by a k-cluster analysis. Profiles of overall performance and profiles incorporating three situational variables for teams of all three levels of strength were set up by presenting the mean, standard deviation, median, lower and upper quartiles of the counts of each event to represent their typical performances and spreads. Means were compared by using one-way ANOVA and independent sample t test (for match location, home and away differences), and were plotted into the same radar charts after unifying all the event counts by standardised score. Established profiles can present straightforwardly typical performances of football teams of different levels playing in different situations, which could provide detailed references for coaches and analysts to evaluate performances of upcoming opposition and of their own.

3D simulation of complex shading affecting PV systems taking benefit from the power of graphics cards developed for the video game industry

Shading reduces the power output of a photovoltaic (PV) system. The design engineering of PV systems requires modeling and evaluating shading losses. Some PV systems are affected by complex shading scenes whose resulting PV energy losses are very difficult to evaluate with current modeling tools. Several specialized PV design and simulation software include the possibility to evaluate shading losses. They generally possess a Graphical User Interface (GUI) through which the user can draw a 3D shading scene, and then evaluate its corresponding PV energy losses. The complexity of the objects that these tools can handle is relatively limited. We have created a software solution, 3DPV, which allows evaluating the energy losses induced by complex 3D scenes on PV generators. The 3D objects can be imported from specialized 3D modeling software or from a 3D object library. The shadows cast by this 3D scene on the PV generator are then directly evaluated from the Graphics Processing Unit (GPU). Thanks to the recent development of GPUs for the video game industry, the shadows can be evaluated with a very high spatial resolution that reaches well beyond the PV cell level, in very short calculation times. A PV simulation model then translates the geometrical shading into PV energy output losses. 3DPV has been implemented using WebGL, which allows it to run directly from a Web browser, without requiring any local installation from the user. This also allows taken full benefits from the information already available from Internet, such as the 3D object libraries. This contribution describes, step by step, the method that allows 3DPV to evaluate the PV energy losses caused by complex shading. We then illustrate the results of this methodology to several application cases that are encountered in the world of PV systems design. Keywords: 3D, modeling, simulation, GPU, shading, losses, shadow mapping, solar, photovoltaic, PV, WebGL

The estimation of statistical parameters for local alignment score distributions

The distribution of optimal local alignment scores of random sequences plays a vital role in evaluating the statistical significance of sequence alignments. These scores can be well described by an extreme-value distribution. The distribution’s parameters depend upon the scoring system employed and the random letter frequencies; in general they cannot be derived analytically, but must be estimated by curve fitting. For obtaining accurate parameter estimates, a form of the recently described ‘island’ method has several advantages. We describe this method in detail, and use it to investigate the functional dependence of these parameters on finite-length edge effects.

Validation of a new easy score to predict outcome in early stage renal cell carcinoma

Background e scopi dello studio. Il carcinoma renale rappresenta circa il 3% delle neoplasie e la sua incidenza è in aumento nel mondo. Il principale approccio terapeutico alla malattia in stadio precoce è rappresentato dalla chirurgia (nefrectomia parziale o radicale), sebbene circa il 30-40% dei pazienti vada incontro a recidiva di malattia dopo tale trattamento. La probabilità di recidivare può essere stimata per mezzo di alcuni noti modelli prognostici sviluppati integrando sia parametri clinici che anatomo-patologici. Il limite principale all’impiego nella pratica clinica di questi modelli è legata alla loro complessità di calcolo che li rende di difficile fruizione. Inoltre la stratificazione prognostica dei pazienti in questo ambito ha un ruolo rilevante nella pianificazione ed interpretazione dei risultati degli studi di terapia adiuvante dopo il trattamento chirurgico del carcinoma renale in stadio iniziale. Da un' analisi non pre-pianificata condotta nell’ambito di uno studio prospettico e randomizzato multicentrico italiano di recente pubblicazione, è stato sviluppato un nuovo modello predittivo e prognostico (“score”) che utilizza quattro semplici parametri: l’età del paziente, il grading istologico, lo stadio patologico del tumore (pT) e della componente linfonodale (pN). Lo scopo del presente studio era quello di validare esternamente tale score. Pazienti e Metodi. La validazione è stata condotta su due coorti retrospettive italiane (141 e 246 pazienti) e su una prospettica americana (1943 pazienti). Lo score testato prevedeva il confronto tra due gruppi di pazienti, uno a prognosi favorevole (pazienti con almeno due parametri positivi tra i seguenti: età < 60 anni, pT1-T3a, pN0, grading 1-2) e uno a prognosi sfavorevole (pazienti con meno di due fattori positivi). La statistica descrittiva è stata utilizzata per mostrare la distribuzione dei diversi parametri. Le analisi di sopravvivenza [recurrence free survival (RFS) e overall survival (OS)] sono state eseguite il metodo di Kaplan-Meier e le comparazioni tra i vari gruppi di pazienti sono state condotte utilizzando il Mantel-Haenszel log-rank test e il modello di regressione di Cox. Il metodo di Greenwood è stato utilizzato per stimare la varianza e la costruzione degli intervalli di confidenza al 95% (95% CI), la “C-statistic” è stata utilizzata per descrivere l’ accuratezza dello score. Risultati. I risultati della validazione dello score condotta sulle due casistiche retrospettive italiane, seppur non mostrando una differenza statisticamente significativa tra i due gruppi di pazienti (gruppo favorevole versus sfavorevole), sono stati ritenuti incoraggianti e meritevoli di ulteriore validazione sulla casistica prospettica americana. Lo score ha dimostrato di performare bene sia nel determinare la prognosi in termini di RFS [hazard ratio (HR) 1.85, 95% CI 1.57-2.17, p < 0.001] che di OS [HR 2.58, 95% CI 1.98-3.35, p < 0.001]. Inoltre in questa casistica lo score ha realizzato risultati sovrapponibili a quelli dello University of California Los Angeles Integrated Staging System. Conclusioni. Questo nuovo e semplice score ha dimostrato la sua validità in altre casistiche, sia retrospettive che prospettiche, in termini di impatto prognostico su RFS e OS. Ulteriori validazioni su casistiche internazionali sono in corso per confermare i risultati qui presentati e per testare l’eventuale ruolo predittivo di questo nuovo score.

Using the R-PAS' Aggressive Content Score For the Evaluation of Aggressive Behaviors in Children

The Rorschach Performance Assessment System (R-PAS) was developed in 2011 as analternative to the previous Comprehensive System. The goal was to improve the psychometrics,and particularly the validity, of this assessment method. The norms for children werequestionable in the Comprehensive system (e.g., outdated, low numbers of subjects) and validitystudies for children were sparse. One of the indicators included in the R-PAS system, theaggressive content indicator (AgC), is intended to reflect aggressive behavior, but few studieshave examined the validity of this indicator. This study examined the validity of AgC in asample of 32 children and adolescents receiving services at a residential treatment center.Subjects' AgC scores were analyzed in relation to demographics and diagnosis, as well as ratingsof aggression and conduct problems from the Behavioral Assessment System for Children-2(BASC-2) Parent and Teacher Reports. Correlations between the AgC score and BASC-2aggression and conduct problems scores were not statistically significant. None of thecorrelations between AgC score and a diagnosis of Conduct Disorder, Oppositional DefiantDisorder, Posttraumatic Stress Disorder, or Mood Disorders were significant either. Given thesmall sample size, null results may be a result of power concerns. The lack of significantcorrelations may however, indicate that operational definitions of aggression used in variousforms of measurement reflect different constructs.

Classical Guitar Music in Printed Collections: A New Index and a Model for Indexing Instrumental Music in Score Collections

Classical Guitar Music in Printed Collections is a new, open-access, online index to the contents of published score collections for classical guitar. Its interlinked, alphabetized lists allow one to find a composition by title or composer, to discover what score collections include that piece, to see what other works are included in each collection identified, and to locate a copy in a library collection. Accuracy of identification is guaranteed by incipit images of each work. The article discusses how this index differs from existing bibliographies of the classical guitar literature, its structure and design, and technical details of its publication.

New framework for score segmentation and analysis in OpenMusic

We present new tools for the segmentation and analysis of musical scores in the OpenMusic computer-aided composition environment. A modular object-oriented framework enables the creation of segmentations on score objects and the implementation of automatic or semi-automatic analysis processes. The analyses can be performed and displayed thanks to customizable classes and callbacks. Concrete examples are given, in particular with the implementation of a semi-automatic harmonic analysis system and a framework for rhythmic transcription.

Project SCORE! Coaches’ Perceptions of an Online Tool to Promote Positive Youth Development in Sport

Research points to the potential of youth sport as an avenue to support the growth of particular assets and outcomes. A recurring theme in this line of research is the need to train coaches to deliberately deliver themes relating to positive youth development (PYD) consistently in youth sport programs. The purpose of the study was to design and deliver a technology-based PYD program. Project SCORE! (www.projectscore.ca) is a series of 10 lessons to help coaches integrate PYD into sport. Four youth sport coaches completed the program in this first phase of this research and were interviewed. The goal of this study was to gain some insights from coaches as they completed the program. Positive comments about the program (i.e. ease of use, success of particular lessons, coach’s personal growth) and challenges regarding teaching positive skills to youth are discussed. These results helped to shape the program and make necessary changes so that it may be used for a larger research study. Other implications and future research directions are discussed.