scholarly journals Creating a Live and Flexible Normative Dataset for Netball

2021 ◽  
Vol 3 ◽  
Author(s):  
Hayden Croft ◽  
Kirsten Spencer ◽  
Noeline Taurua ◽  
Emily Wilton
Keyword(s):  
Normative Data ◽  
Ecological Validity ◽  
Systems Design ◽  
Large Data ◽  
Population Data ◽  
Fitness Testing ◽  
Physical Conditioning ◽  
Performance Statistics ◽  
Player Positions

A previous research has identified large data and information sources which exist about netball performance and align with the discussion of coaches during the games. Normative data provides context to measures across many disciplines, such as fitness testing, physical conditioning, and body composition. These data are normally presented in the tables as representations of the population categorized for benchmarking. Normative data does not exist for benchmarking or contextualization in netball, yet the coaches and players use performance statistics. A systems design methodology was adopted for this study where a process for automating the organization, normalization, and contextualization of netball performance data was developed. To maintain good ecological validity, a case study utilized expert coach feedback on the understandability and usability of the visual representations of netball performance population data. This paper provides coaches with benchmarks for assessing the performances of players, across competition levels against the player positions for performance indicators. It also provides insights to a performance analyst around how to present these benchmarks in an automated “real-time” reporting tool.

Classifying player positions in second-tier Australian football competitions using technical skill indicators

2021 ◽  
pp. 174795412110102
Author(s):  
Adrian J Barake ◽  
Heather Mitchell ◽  
Constantino Stavros ◽  
Mark F Stewart ◽  
Preety Srivastava
Keyword(s):  
Positional Information ◽  
Multinomial Logistic Model ◽  
Sports Science ◽  
Lower Tier ◽  
Australian Football League ◽  
Australian Football ◽  
Second Tier ◽  
Performance Statistics ◽  
Player Performance ◽  
Player Positions

Efficient recruitment to Australia’s most popular professional sporting competition, the Australian Football League (AFL), requires evaluators to assess athlete performances in many lower tier leagues that serve as pathways. These competitions and their games are frequent, widespread, and challenging to track. Therefore, independent, and reliable player performance statistics from these leagues are paramount. This data, however, is only meaningful to recruiters from AFL teams if accurate player positions are known, which was not the case for the competitions from which most players were recruited. This paper explains how this problem was recently solved, demonstrating a process of knowledge translation from academia to industry, that bridged an important gap between sports science, coaching and recruiting. Positional information which is only available from the AFL competition was used to benchmark and develop scientific classification methods using only predictor variables that are also measured in lower tier competitions. Specifically, a Multinomial Logistic model was constructed to allocate players into four primary positions, followed by a Binary Logit model for further refinement. This novel technique of using more complete data from top tier competitions to help fill informational deficiencies in lower leagues could be extended to other sports that face similar issues.

Model-Based Aeration Systems Design - Case Study Nansemond WWTP

2012 ◽  
Vol 2012 (14) ◽  
pp. 2445-2471 ◽  
Author(s):  
Leiv Rieger ◽  
Charles B. Bott ◽  
William J. Balzer ◽  
Richard M. Jones
Keyword(s):  
Systems Design ◽  
Model Based ◽  
Design Case ◽  
Design Case Study

scholarly journals Machine Learning Improves the Precision and Robustness of High-Content Screens

2011 ◽  
Vol 16 (9) ◽  
pp. 1059-1067 ◽  
Author(s):  
Peter Horvath ◽  
Thomas Wild ◽  
Ulrike Kutay ◽  
Gabor Csucs
Keyword(s):  
Machine Learning ◽  
User Interaction ◽  
Texture Features ◽  
Large Data ◽  
Complete Analysis ◽  
Data Sets ◽  
Reporter Protein ◽  
Fluorescent Intensity ◽  
Analysis Workflow

Imaging-based high-content screens often rely on single cell-based evaluation of phenotypes in large data sets of microscopic images. Traditionally, these screens are analyzed by extracting a few image-related parameters and use their ratios (linear single or multiparametric separation) to classify the cells into various phenotypic classes. In this study, the authors show how machine learning–based classification of individual cells outperforms those classical ratio-based techniques. Using fluorescent intensity and morphological and texture features, they evaluated how the performance of data analysis increases with increasing feature numbers. Their findings are based on a case study involving an siRNA screen monitoring nucleoplasmic and nucleolar accumulation of a fluorescently tagged reporter protein. For the analysis, they developed a complete analysis workflow incorporating image segmentation, feature extraction, cell classification, hit detection, and visualization of the results. For the classification task, the authors have established a new graphical framework, the Advanced Cell Classifier, which provides a very accurate high-content screen analysis with minimal user interaction, offering access to a variety of advanced machine learning methods.

scholarly journals Consequences of Promoting Less-Populated Rural Areas to Urban Areas: A Case Study, Bushehr Province

2015 ◽  
Vol 10 (1) ◽  
pp. 91-100
Author(s):  
Ali Bastin
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Residential Buildings ◽  
Urban System ◽  
Population Data ◽  
Target Population ◽  
Positive Outcomes ◽  
Negative Consequences

The modified law of Iranian Administrative divisions has greatly altered the pattern of settlement in recent decades. The promotion of rural areas to urban areas has shifted from mere population standard to combined population-administrative standards. However, all censuses suggest that many rural areas reported as smaller than the minimum population standard have been promoted to urban areas. In the last two decades, this is a clearly prominent phenomenon in the urban system of Iran. This paper evaluates the effects and consequences of promoting small and sparsely populated rural areas to urban areas in the Bushehr province. The used methodology is analytic-descriptive using a questionnaire distributed among 380 members of the target population. Data analysis is conducted in physical, economic, social and urban servicing domains using one-sample T-test and the utility range. The results show that promotion of rural areas to urban areas has positive outcomes such as improved waste disposal system, improved quality of residential buildings, increased monitoring of the construction, increased income, prevented migration and improved health services. However, the results of utility range show that the negative consequences of this policy are more than its positive outcomes, which have been studied in detail.

Vitamin D-enhanced pork meat consumers’ purchase intention: an exploratory case study in Spain

2021 ◽  
Vol 24 ◽  
Author(s):  
Begoña Panea ◽  
Guillermo Ripoll
Keyword(s):  
Vitamin D ◽  
Purchase Intention ◽  
Uv Light ◽  
Population Data ◽  
Age Group ◽  
Pork Meat ◽  
Willingness To Buy ◽  
Gender And Age ◽  
Consumption Habit

Abstract: This paper investigated if Spanish consumers would be willing to consume vitamin D-enhanced pork meat from animals fed on mushrooms treated with ultraviolet (UV) light. The questionnaire briefly explained the context of the study (vitamin D deficiency) and asked the consumers to choose answers with which they were most in agreement (non-enriched meat, enriched meat with synthetic vitamin D or enriched meat with vitamin D from UV-irradiated mushrooms). A survey was conducted to 400 non-vegan nor vegetarian consumers in Aragón (Spain) by direct invitation. Sampling was carried out in a random and stratified manner, by province, gender and age group using the Aragón population data for 2017 (INE). Some sociodemographic, health and consumption habit data were requested. Most consumers preferred non-enriched meat. Treatment with UV-irradiated mushrooms was rejected by most consumers, and the consumers who presented any willingness to buy meat enriched with UV-irradiated mushrooms were in the youngest age group.

Applying Contextual Design to Educational Software Development

2004 ◽  
pp. 74-103
Author(s):  
Mark Notess
Keyword(s):  
Software Development ◽  
Music Education ◽  
Educational Software ◽  
Systems Design ◽  
Work Practice ◽  
Instructional Designers ◽  
Music Listening ◽  
Instructional Systems ◽  
Contextual Design

Contextual Design is a methodology for developing information systems from a rich understanding of customer work practice. This chapter considers how Contextual Design can be applied to educational software development and how Contextual Design might interact with Instructional Systems Design (ISD). Following a brief overview of ISD, I describe Contextual Design and provide a detailed case study of its application to educational software development — to the design of an online tool for music listening and analysis in undergraduate and graduate music education. I conclude with some reflections on the relevance of Contextual Design to instructional designers.

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