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Training cognition : optimizing efficiency, durability, and generalizability
\"This book describes research on training using cognitive psychology to build a complete empirical and theoretical picture of the training process. It includes a review of relevant cognitive psychological literature, a summary of recent laboratory experiments, a presentation of original theoretical ideas, and a discussion of possible applications to real-world training settings\"--Provided by publisher.
Book
Criterion Validity of Catapult ClearSky T6 Local Positioning System for Measuring Inter-Unit Distance
The validity of a local positioning system (LPS) to measure inter-unit distance was investigated during a team sport movement circuit. Eight recreationally active, female indoor team-sport players completed a circuit, comprising seven types of movements (walk, jog, jump, sprint, 45° change of direction and shuffle), on an indoor court. Participants wore a receiver tag (ClearSky T6, Catapult Sports) and seven reflective markers, to allow for a comparison with the reference system (©Vicon Motion Systems, Oxford Metrics, UK). Inter-unit distance was collected for each combination of participants. Validity was assessed via root mean square error, mean bias and percentage of variance accounted for, both as an overall dataset and split into distance bands. The results presented a mean root mean square error of 0.20 ± 0.05 m, and mean bias detected an overestimation for all distance bands. The LPS shows acceptable accuracy for measuring inter-unit distance, opening up opportunities to utilise player tracking for tactical variables indoors.
Journal Article
Beethoven's 32 piano sonatas : a handbook for performers
\"The thirty-two piano sonatas of Ludwig van Beethoven comprise one of the most important parts of the piano literature, yet true mastery of these works can be elusive to even the most seasoned performer. With years of experience performing and teaching the literature and intimate knowledge of the works, their history and context, renowned pianist and pedagogue Stewart Gordon guides today's pianist performer through each of the thirty-two sonatas in stunning detail.\"--Page 4 of cover.
BOOK
Key Performance Indicators Predictive of Success in Soccer: A Comprehensive Analysis of the Greek Soccer League
Previous research emphasizes the significance of key performance metrics in determining match outcomes. The purpose of this study is to enhance the understanding of success in professional soccer by analyzing the relationship between match outcomes (win, lose, draw) and various Performance Indicators extracted from the Greek soccer league, as well as to develop a regression model of success in soccer. The sample consisted of all 91 matches from the first round of the 2020–2021 season of the Greek Football League. Utilizing Kruskal–Wallis tests, significant differences were found in goals scored, shots, and shots on target, ball possession, passing metrics, touches in the penalty area, and average shot distance (p < 0.05), with winning teams having demonstrated superior performance metrics. Moreover, winning teams engaged more in positional attacks and counterattacks with shots (p < 0.05). The binary logistic regression model applied to predict match outcomes identified shots on target, counterattacks, passes metrics, offensive duels and set pieces (penalties, free kicks) as key factors influencing the likelihood of winning (p < 0.05). These findings collectively highlight the importance of effective offensive play, including goal scoring, shooting accuracy, and ball possession, in determining the outcomes of soccer matches, with the regression model offering a nuanced understanding of these relationships.
Journal Article
Assessing n‐type organic materials for lithium batteries: A techno‐economic review
The high demand for critical minerals such as lithium, copper, nickel, and cobalt, required for lithium‐ion batteries, has raised questions regarding the feasibility of maintaining a steady and affordable supply of raw materials for their production. In the last years, researchers have shifted their attention toward organic materials, which are potentially more widely available, affordable, and sustainable due to the ubiquitous presence of the constituent organic elements. The n‐type materials have a redox mechanism analogous to that of lithium‐ion cathodes and anodes, hence they are suitable for a meaningful comparison with the state‐of‐the‐art technology. While many reviews have evaluated the properties of organic materials at the material or electrode level, herein, the properties of n‐type organic materials are assessed in a complex system, such as a full battery, to evaluate the feasibility and performance of these materials in commercial‐scale battery systems. The most relevant cathode materials for organic batteries are reviewed, and a detailed cost and performance analysis of n‐type material‐based battery packs using the BatPaC 5.0 software is presented. The analysis considers the influence of electrode design choices, such as the conductive carbon content, active material mass loading, and electrode density, on energy density and cost. The potential of n‐type organic materials as a low‐cost and sustainable solution for energy storage applications is highlighted, while emphasizing the need for further advancements of organic materials for energy storage applications. The authors analyze the properties of n‐type organic materials in a complex system, providing a detailed cost and performance evaluation of battery packs. The study highlights the potential of n‐type organic materials as a low‐cost and sustainable solution for energy storage applications but emphasizes the need for further developments in organic materials research.
Journal Article
Analysis of Performance Parameters of the Smash in Male and Female Professional Padel
The aim of this study was to analyze the distribution and effectiveness of the different types of smash in professional padel according to the area and direction of the strokes and the gender. Through systematic observation, 1.015 smashes from eight finals (four men’s and four women’s) of the professional matches were analyzed. The smashes were categorized into four types of smash: tray, flat, topspin and off the wall. The results showed both men’s and women’s that the tray is the most used smash by padel players, presenting a percentage of point continuity of almost 90%. The flat and topspin smashes are the strokes that achieve the highest percentage of winning points (near 60%), although this efficiency decreases significantly when the players move away from the net area (p < 0.05), especially in the flat smash. Men perform a higher percentage of winning smashes than women, mainly in the flat smash (p = 0.02). Furthermore, with regards to direction, flat and off the wall smashes are predominantly down the line strokes and women perform significantly more cross court topspin smashes than men (p = 0.005). The results shown could be used to design tasks and exercises by padel coaches at professional players.
Journal Article
Integrating TOPSIS and three-dimensional importance-performance analysis to formulate the career competitiveness evaluation model under the MAES
Taiwan's declining birth rate and the lack of personnel in the national army have worsened. In particular, the loss of human resources caused by the lack of career competitiveness among national army officers has been increasing daily. Effective career competitiveness not only aligns personal interests with job roles but also enhances self-confidence and increases workplace value. The professional competitiveness of military officers depends on the nurturing of the Military Academy Education System (MAES), which involves the comprehensive consideration and evaluation of individual performance such as university education (UE), sport and combat ability (SCA), and military skill (MS); it is a complex multiple attribute decision making (MADM) problem. However, the current method fails to effectively consider individual attributes, which may result in cadets being assigned to unsuitable units or positions, leading them to consider retirement and thereby weakening national defense capabilities. To solve this problem, this research integrated the technique for order preference by similarity to an ideal solution (TOPSIS) and three-dimensional importance-performance analysis method to propose a novel three-dimensional TOPSIS (3D-TOPSIS) model, aimed at improving the evaluation process of cadets’ career competitiveness. The results demonstrate that this model accurately assesses cadets' attributes and distribution, providing valuable insights for personnel assignments and the allocation of educational resources.
Journal Article
Designing Performance Improvement Strategy in Automotive Companies Using SCOR Model and Importance Performance Analysis
This research begins by determining and validating indicators (KPIs) that will be used to measure performance in the company’s supply chain, and making questionnaires to compare priorities between indicators and also each attribute and process at each SCOR level. This study has five general processes of supply chain. Each process is further divided into several attributes that are included at level two within the SCOR framework, namely reliability, responsiveness, flexibility, cost, and assets. Furthermore, each of these attributes has a total of 49 performance indicator indicators. The next step is to validate and ensure each indicator can be measured in research by holding discussions with the company. This paper aims to obtain the value of the company's supply chain performance to determine the supply chain performance improvement strategy of PT. X so that the performance of the company's supply chain can improve.
Journal Article
Examining the evolution and classification of player position using performance indicators in the National Rugby League during the 2015–2019 seasons
This study aimed to: 1) examine recent seasonal changes in performance indicators for different National Rugby League (NRL) playing positions; and 2) determine the accuracy of performance indicators to classify and discriminate positional groups in the NRL.
Retrospective, longitudinal analysis of individual performance metrics.
48 performance indicators (e.g. passes, tackles) from all NRL games during the 2015–2019 seasons were collated for each player´s match-related performance. The following analyses were conducted with all data: (i) one-way ANOVA to identify seasonal changes in performance indicators; (ii) principal component analysis (PCA) to group performance indicators into factors; (iii) two-step cluster analysis to classify playing positions using the identified factors; and (iv) discriminant analysis to discriminate the identified playing positions.
ANOVA showed significant differences in performance indicators across seasons (F=2.3–687.7; p=0–0.05; partial η2=0.00–0.075). PCA pooled all performance indicators and identified 14 factors that were included in the two-step cluster analysis (average silhouette=0.5) that identified six positional groups: forwards, 26.7%, adjustables, 17.2%, interchange, 23.2%, backs, 20.9%, interchange forwards, 5.5% and utility backs, 6.5%. Lastly, discriminant analysis revealed five discriminant functions that differentiated playing positions.
Results indicated that player’s performance demands across different playing positions did significantly change over recent seasons (2015–2019). Cluster analysis yielded a high-level of accuracy relative to playing position, identifying six clusters that best discriminated positional groups. Unsupervised analytical approaches may provide sports scientists and coaches with meaningful tools to evaluate player performance and future positional suitability in RL.
Journal Article