scholarly journals Sistema de observación para analizar la interacción en el juego de Boccia por equipos

2019 ◽  
Vol 20 (1) ◽  
pp. 37-47
Author(s):  
Daniel Lapresa Ajamil ◽  
Javier Pascual Laguna ◽  
Javier Arana ◽  
M. Teresa Anguera
Keyword(s):  
Ad Hoc ◽  
High Reliability ◽  
Observation System ◽  
Data Sets ◽  
Antisocial Behaviors ◽  
Observation Instrument ◽  
The Social ◽  
El Sistema ◽  
Disability Group ◽  
Generalizability Study

Se ha diseñado un instrumento de observación ad hoc, combinación de formato de campo y sistemas de categorías, que permite analizar la interacción social -conductas prosociales y antisociales- que tiene lugar en la competición por equipos en el juego de boccia. El registro y codificación de los datos se ha desarrollado mediante el software Lince. La validez de contenido del instrumento de observación ha quedado avalada por el equipo técnico de la Selección Española de boccia. Los resultados relativos a la concordancia entre los registros generados por tres observadores diferentes, calculada mediante el coeficiente Kappa de Cohen, indican una elevada fiabilidad de los datos obtenidos mediante el sistema de observación. En el seno de la teoría de la Generalizabilidad, mediante el software SAGT, se ha desarrollado el plan de medida [Jugador] [Categoría] / [Parcial], que ha permitido asegurar que, con el número de parciales analizados, se consigue una elevada fiabilidad de precisión de generalización. Además, se ha procedido a la optimización del plan de medida [Parciales] [Categorías] / [Jugador]. La operatividad del sistema de observación desarrollado ha quedado patente en los T-patterns detectados mediante el software Theme, versión 6. Edu. De los resultados obtenidos se desprende que el juego de boccia constituye un entorno favorable de elevado valor formativo para el colectivo de la discapacidad. The observation instrument was purpose-built and combines a field format with systems of categories. The observation instrument allows to analyze the social interaction -prosocial and antisocial behaviors- that takes place in team boccia competition. The content validity of the observation instrument has been guaranteed by the coaching staff of the Boccia Spanish Team. The data were coded with the Lince software programme. Cohen's Kappa coefficient obtained by comparing the data sets generated by three observers indicates a high reliability of the data. We also performed a generalizability study, [Player][Category]/[End], demonstrating the consistency of the data based on the Ends observed. The application of the optimization module for [End][Category]/[Player] facets showed us how many players would constitute an optimal sample in future studies. The practical application of the observation system was demonstrated by performing T-pattern analysis using Theme software programme. The results obtained show that boccia is a very favorable educational environment for the disability group. O instrumento de observação foi construído ad hoc e combina um formato de campo com sistemas de categorias. O instrumento de observação permite analisar a interação social - comportamentos anti-sociais e anti-sociais - que ocorre na competição de bocha em equipe. A validade de conteúdo do instrumento de observação foi garantida pela equipe técnica da Equipe Espanhola de Boccia. Os dados foram codificados com o programa de software Lince. Coeficiente Kappa de Cohen obtido pela comparação dos conjuntos de dados gerados por três observadores indica alta confiabilidade dos dados. Também realizamos um estudo de generalização [Jogador] [Categoria] / [Parcial], demonstrando a consistência dos dados com base nas extremidades observadas. A aplicação do módulo de otimização para as facetas [Parciales] [Categorias] / [Jogador] nos mostrou quantos jogadores seriam uma ótima amostra em estudos futuros. A aplicação prática do sistema de observação foi demonstrada através da análise do padrão T usando o programa de software Theme. Os resultados obtidos são desprezíveis que o jogo de bocha é constituído por um formulário de valor favorável para o colectivo da discapacidade.

scholarly journals Playing Ludomotor Activities in Lleida During the Spanish Civil War: An Ethnomotor Approach

2021 ◽  
Vol 11 ◽  
Author(s):  
Enric Ormo-Ribes ◽  
Pere Lavega-Burgués ◽  
Rosa Rodríguez-Arregi ◽  
Rafael Luchoro-Parrilla ◽  
Aaron Rillo-Albert ◽  
...  
Keyword(s):  
Civil War ◽  
Spanish Civil War ◽  
Ad Hoc ◽  
High Reliability ◽  
Structured Interviews ◽  
Internal Logic ◽  
The Social ◽  
Chi Squared ◽  
Homologous Structure

The traditional ludomotor activities (LA) are recognized by UNESCO as an intangible piece of cultural heritage. The ethnomotricity analyzes LA in its sociocultural context, taking into account the proprieties of rules or motor conditions (internal logic) and the link with local culture (external logic). The aim of this research was to identify and reveal the distinctive ethnomotor features of LA in order to understand the adaptations that occurred in the social scenario of the Spanish Civil War (1936–1939) in Lleida. The corpus of the research was constituted by 101 LA which were collected from the analysis of 20 semi-structured interviews. An “ad hoc” tool was designed and agreed upon by expert observers. It was comprised of a total of 27 ethnomotor variables related to LA. The experts achieved high reliability [Cohen’s kappa coefficient (κ) and Spearman’s correlation coefficient = 1] when the classification of LA was carried out on two different occasions. Descriptive statistics, cross-tabulations (Pearson’s chi-squared) effect sizes, and two-step clusters were performed by external and internal logic variables. The presence or absence of motor interaction (X2 = 9.029; df = 1; p < 0.003; ES = 0.298) was enlightening when comparing LA with and without a war connotation. On the other hand, the hierarchy of variables rested primarily on IL-Domain (Psycho-Coop-Oppo-Coop/Oppo) (PI = 1). Among other singularities, while two-step cluster analysis revealed a corresponding ethnomotor silhouette with cluster 1, with the warlike connotation (n = 48; 96.0%), its homologous structure was expressed (Cluster 2) in the absence of the warlike character (n = 26; 50%).

TrustSVD: A Novel Trust-Based Matrix Factorization Model with User Trust and Item Ratings

2017 ◽  
Vol 7 (11) ◽  
pp. 7 ◽  
Author(s):  
K Sobha Rani
Keyword(s):  
Matrix Factorization ◽  
Social Trust ◽  
State Of The Art ◽  
Data Sets ◽  
Real World Data ◽  
Recommendation Algorithm ◽  
Active User ◽  
Factorization Model ◽  
The Social ◽  
Matrix Factorization Technique

Collaborative filtering suffers from the problems of data sparsity and cold start, which dramatically degrade recommendation performance. To help resolve these issues, we propose TrustSVD, a trust-based matrix factorization technique. By analyzing the social trust data from four real-world data sets, we conclude that not only the explicit but also the implicit influence of both ratings and trust should be taken into consideration in a recommendation model. Hence, we build on top of a state-of-the-art recommendation algorithm SVD++ which inherently involves the explicit and implicit influence of rated items, by further incorporating both the explicit and implicit influence of trusted users on the prediction of items for an active user. To our knowledge, the work reported is the first to extend SVD++ with social trust information. Experimental results on the four data sets demonstrate that our approach TrustSVD achieves better accuracy than other ten counterparts, and can better handle the concerned issues.

The social wasp Vespula germanica (Fabricius) (Hymenoptera: Vespidae) population dynamics in England over 39 years.

2018 ◽  
Vol 154 (2) ◽  
pp. 149-155
Author(s):  
Michael Archer
Keyword(s):  
Population Dynamics ◽  
Population Dynamic ◽  
Ecological Factors ◽  
Social Wasp ◽  
Data Sets ◽  
Data Set ◽  
Vespula Germanica ◽  
The Social ◽  
Minimum Number ◽  
Suction Traps

1. Yearly records of worker Vespula germanica (Fabricius) taken in suction traps at Silwood Park (28 years) and at Rothamsted Research (39 years) are examined. 2. Using the autocorrelation function (ACF), a significant negative 1-year lag followed by a lesser non-significant positive 2-year lag was found in all, or parts of, each data set, indicating an underlying population dynamic of a 2-year cycle with a damped waveform. 3. The minimum number of years before the 2-year cycle with damped waveform was shown varied between 17 and 26, or was not found in some data sets. 4. Ecological factors delaying or preventing the occurrence of the 2-year cycle are considered.

Miradas a la Escuela de Adultos: perfil y condiciones de vida del alumnado

2020 ◽  
Vol 8 (1) ◽  
pp. 15-26
Author(s):  
José Ángel Martínez-López ◽  
Miriam López García
Keyword(s):  
Ad Hoc ◽  
El Sistema

La crisis económica iniciada hace más de una década "popularizó" el retorno al sistema educativo de personas sin cualificación laboral. El presente estudio tiene por objetivo conocer el perfil, las trayectorias educativas y las condiciones de vida de los asistentes a la Escuela de Adultos en la Región de Murcia. Para ello se ha desarrollado una metodología en dos etapas: análisis de datos secundarios y desarrollo de un cuestionario ad hoc. La principal motivación para cursar estos estudios es continuar en el sistema educativo reglado a través de un ciclo formativo de grado medio.

The Social Development Model

2018 ◽  
pp. 223-247 ◽  
Author(s):  
Christopher Cambron ◽  
Richard F. Catalano ◽  
J. David Hawkins
Keyword(s):  
General Theory ◽  
Social Development ◽  
Human Behavior ◽  
Explanatory Power ◽  
Development Model ◽  
Antisocial Behaviors ◽  
Future Directions ◽  
Social Development Model ◽  
The Social ◽  
Empirical Tests

This chapter presents an overview of the social development model (SDM)—a general theory of human behavior that integrates research on risk and protective factors into a coherent model. The goal of this synthesis is to provide more explanatory power than its component theories. This chapter first specifies the model constructs and their hypothesized relationships to prosocial and antisocial behaviors. It then provides a synthesis of what has been learned from empirical tests of social development hypotheses for predicting pro- and antisocial behaviors. This chapter also highlights interventions derived from the SDM and summarizes their impact on pro- and antisocial behaviors. Finally, the chapter concludes by presenting future directions for SDM-based research.

Language change across a lifetime: A historical micro-perspective

2021 ◽  
Vol 7 (s2) ◽  
Author(s):  
Alexander Bergs
Keyword(s):  
Communities Of Practice ◽  
Social Factors ◽  
Language Use ◽  
Language Change ◽  
Historical Data ◽  
Data Sets ◽  
The Social ◽  
Challenges And Opportunities ◽  
Linguistic Behavior ◽  
Micro Analysis

Abstract This paper focuses on the micro-analysis of historical data, which allows us to investigate language use across the lifetime of individual speakers. Certain concepts, such as social network analysis or communities of practice, put individual speakers and their social embeddedness and dynamicity at the center of attention. This means that intra-speaker variation can be described and analyzed in quite some detail in certain historical data sets. The paper presents some exemplary empirical analyses of the diachronic linguistic behavior of individual speakers/writers in fifteenth to seventeenth century England. It discusses the social factors that influence this behavior, with an emphasis on the methodological and theoretical challenges and opportunities when investigating intra-speaker variation and change.

scholarly journals The Social Aspects of Sexual Health: A Twitter-Based Analysis of Valentine’s Day Perception

Sexes ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 50-59
Author(s):  
Andrea Sansone ◽  
Angelo Cignarelli ◽  
Daniele Mollaioli ◽  
Giacomo Ciocca ◽  
Erika Limoncin ◽  
...  
Keyword(s):  
Social Networks ◽  
Sexual Behavior ◽  
Sexual Health ◽  
Ad Hoc ◽  
Healthcare Research ◽  
Social Aspects ◽  
The Social ◽  
The Us ◽  
Valentine's Day ◽  
The Uk

Sentiment analysis (SA) is a technique aimed at extracting opinions and sentiments through the analysis of text, often used in healthcare research to understand patients’ needs and interests. Data from social networks, such as Twitter, can provide useful insights on sexual behavior. We aimed to assess the perception of Valentine’s Day by performing SA on tweets we collected between 28 January and 13 February 2019. Analysis was done using ad hoc software. A total of 883,615 unique tweets containing the word “valentine” in their text were collected. Geo-localization was available for 48,918 tweets; most the tweets came from the US (36,889, 75.41%), the UK (2605, 5.33%) and Canada (1661, 3.4%). The number of tweets increased approaching February 14. “Love” was the most recurring word, appearing in 111,981 tweets, followed by “gift” (55,136), “special” (34,518) and “happy” (33,913). Overall, 7318 tweets mentioned “sex”: among these tweets, the most recurring words were “sexy” (2317 tweets), “love” (1394) and “gift” (679); words pertaining to intimacy and sexual activity, such as “lingerie”, “porn”, and “date” were less common. In conclusion, tweets about Valentine’s Day mostly focus on the emotions, or on the material aspect of the celebration, and the sexual aspect of Valentine’s Day is rarely mentioned.

scholarly journals Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chiara Barchielli ◽  
Cristina Marullo ◽  
Manila Bonciani ◽  
Milena Vainieri
Keyword(s):  
Social Influence ◽  
Ad Hoc ◽  
New Technologies ◽  
Management Strategies ◽  
Technological Innovations ◽  
Utaut Model ◽  
Use Of Technology ◽  
The Social ◽  
Depth Analysis ◽  
Facilitating Conditions

Abstract Background Several technological innovations have been introduced in healthcare over the years, and their implementation proved crucial in addressing challenges of modern health. Healthcare workers have frequently been called upon to become familiar with technological innovations that pervade every aspect of their profession, changing their working schedule, habits, and daily actions. Purpose An in-depth analysis of the paths towards the acceptance and use of technology may facilitate the crafting and adoption of specific personnel policies taking into consideration definite levers, which appear to be different in relation to the age of nurses. Approach The strength of this study is the application of UTAUT model to analyse the acceptance of innovations by nurses in technology-intensive healthcare contexts. Multidimensional Item Response Theory is applied to identify the main dimensions characterizing the UTAUT model. Paths are tested through two stage regression models and validated using a SEM covariance analysis. Results The age is a moderator for the social influence: social influence, or peer opinion, matters more for young nurse. Conclusion The use of MIRT to identify the most important items for each construct of UTAUT model and an in-depth path analysis helps to identify which factors should be considered a leverage to foster nurses’ acceptance and intention to use new technologies (o technology-intensive devices). Practical implications Young nurses may benefit from the structuring of shifts with the most passionate colleagues (thus exploiting the social influence), the participation in ad hoc training courses (thus exploiting the facilitating conditions), while other nurses could benefit from policies that rely on the stressing of the perception of their expectations or the downsizing of their expectancy of the effort in using new technologies.

scholarly journals Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1573
Author(s):  
Loris Nanni ◽  
Giovanni Minchio ◽  
Sheryl Brahnam ◽  
Gianluca Maguolo ◽  
Alessandra Lumini
Keyword(s):  
Vector Space ◽  
Image Classification ◽  
Ad Hoc ◽  
Feature Space ◽  
Medical Data ◽  
Training Data ◽  
Data Sets ◽  
Large Set ◽  
Clustering Methods ◽  
Siamese Networks

Traditionally, classifiers are trained to predict patterns within a feature space. The image classification system presented here trains classifiers to predict patterns within a vector space by combining the dissimilarity spaces generated by a large set of Siamese Neural Networks (SNNs). A set of centroids from the patterns in the training data sets is calculated with supervised k-means clustering. The centroids are used to generate the dissimilarity space via the Siamese networks. The vector space descriptors are extracted by projecting patterns onto the similarity spaces, and SVMs classify an image by its dissimilarity vector. The versatility of the proposed approach in image classification is demonstrated by evaluating the system on different types of images across two domains: two medical data sets and two animal audio data sets with vocalizations represented as images (spectrograms). Results show that the proposed system’s performance competes competitively against the best-performing methods in the literature, obtaining state-of-the-art performance on one of the medical data sets, and does so without ad-hoc optimization of the clustering methods on the tested data sets.

scholarly journals Perceptions of ‘Precision’ and ‘Personalised’ Medicine in Singapore and Associated Ethical Issues

2021 ◽  
Vol 13 (2) ◽  
pp. 179-194
Author(s):  
Serene Ong ◽  
Jeffrey Ling ◽  
Angela Ballantyne ◽  
Tamra Lysaght ◽  
Vicki Xafis
Keyword(s):  
Precision Medicine ◽  
Ethical Issues ◽  
Personalised Medicine ◽  
Large Population ◽  
Data Sets ◽  
Visual Aids ◽  
Policy Makers ◽  
The Social ◽  
Genomic Analyses ◽  
Common Understanding

AbstractGovernments are investing in precision medicine (PM) with the aim of improving healthcare through the use of genomic analyses and data analytics to develop tailored treatment approaches for individual patients. The success of PM is contingent upon clear public communications that engender trust and secure the social licence to collect and share large population-wide data sets because specific consent for each data re-use is impractical. Variation in the terminology used by different programmes used to describe PM may hinder clear communication and threaten trust. Language is used to create common understanding and expectations regarding precision medicine between researchers, clinicians and the volunteers. There is a need to better understand public interpretations of PM-related terminology. This paper reports on a qualitative study involving 24 focus group participants in the multi-lingual context of Singapore. The study explored how Singaporeans interpret and understand the terms ‘precision medicine’ and ‘personalised medicine’, and which term they felt more aptly communicates the concept and goals of PM. Results suggest that participants were unable to readily link the terms with this area of medicine and initially displayed preferences for the more familiar term of ‘personalised’. The use of visual aids to convey key concepts resonated with participants, some of whom then indicated preferences for the term ‘precision’ as being a more accurate description of PM research. These aids helped to facilitate dialogue around the ethical and social value, as well as the risks, of PM. Implications for programme developers and policy makers are discussed.

Sign in / Sign up

Export Citation Format

Share Document