scholarly journals Improving on Half-Lightweight Male Judokas' High Performance by the Application of the Analytic Network Process

2021 ◽  
Vol 12 ◽  
Author(s):  
Sugoi Uriarte Marcos ◽  
Raúl Rodríguez-Rodríguez ◽  
Juan-José Alfaro-Saiz ◽  
Eduardo Carballeira ◽  
Maier Uriarte Marcos
Keyword(s):  
High Performance ◽  
Analytic Network Process ◽  
Added Value ◽  
Strategic Objectives ◽  
Strategic Performance ◽  
Crucial Difference ◽  
Network Process ◽  
Daily Training ◽  
And Performance ◽  
High Level

Judo is a multifactorial sport where many variables or key performance indicators (KPIs) such as force-velocity profile, bioenergetic capacity, technical and tactical skills, and cognitive and emotional competence play a role and influence the final result. While there have been many academic studies of these variables, usually in isolation, none have examined KPIs holistically or analyzed their impact on strategic performance. The main objective of the present study, therefore, is to apply a novel and easily replicable methodology to identify and prioritize the main KPIs affecting performance in professional judo. Such a methodology was applied to the High-Performance Judo Centre of Valencia, using a multi-criteria decision aid technique: the analytic network process (ANP). The ANP is used to identify and quantify cause and effect relationships not only between KPIs but also between KPIs and performance objectives. Further, the ANP offers effective results when there is a lack of historical KPI data, because it is based on experts' opinions and judgments. A judo expert group (JEG) comprising elite judo coaches and half-lightweight (under 66 kg) male judokas applied the methodology to discriminate between the characteristics required when aiming to reach high-level strategic objectives (such as participating in the Olympic Games or winning a medal in a Grand Slam/Gran Prix). The JEG, which consisted of five elite judokas, national and international champions, and three Olympic coaches—including a former European champion and silver medalist in a world championship—provided high added value to the study. The main findings were that the KPIs that made the most difference were mostly psychological, specifically motivation, stress, and team cohesion. Of these, motivation was by far the most important KPI for success in our case study, so judokas should make sure that they analyze it properly. Motivation is usually intrinsic to the competitor and should be maintained at a high level, not only during tournaments but also during daily training and lifestyle activities. Physical and other specific forms of training, as well as lifestyle KPIs, are very important for the elite competitor but are not sufficient to reach high-level objectives. The most important of these KPIs were Kumi-Kata (grip work), dual career, focus and concentration level, scouting, nutrition, and basic technique. Power and strength were the most important physical KPIs. In general, these are essential for meeting strategic objectives, but they do not make the crucial difference. This suggests that professional psychological support should be provided in daily training and that international team composition and internships should be fostered.

https://imsciences.edu.pk/files/journals/vol12_2/New%201%20MA.864.pdf

2020 ◽  
Vol 12 (2) ◽  
pp. 19-50 ◽  
Author(s):  
Muhammad Siddique ◽  
Shandana Shoaib ◽  
Zahoor Jan
Keyword(s):  
Organizational Performance ◽  
Structural Equation ◽  
High Performance ◽  
Service Sector ◽  
Performance Outcomes ◽  
Theory And Practice ◽  
Relational Coordination ◽  
Multiple Sources ◽  
And Performance ◽  
High Level

A key aspect of work processes in service sector firms is the interconnection between tasks and performance. Relational coordination can play an important role in addressing the issues of coordinating organizational activities due to high level of interdependence complexity in service sector firms. Research has primarily supported the aspect that well devised high performance work systems (HPWS) can intensify organizational performance. There is a growing debate, however, with regard to understanding the “mechanism” linking HPWS and performance outcomes. Using relational coordination theory, this study examines a model that examine the effects of subsets of HPWS, such as motivation, skills and opportunity enhancing HR practices on relational coordination among employees working in reciprocal interdependent job settings. Data were gathered from multiple sources including managers and employees at individual, functional and unit levels to know their understanding in relation to HPWS and relational coordination (RC) in 218 bank branches in Pakistan. Data analysis via structural equation modelling, results suggest that HPWS predicted RC among officers at the unit level. The findings of the study have contributions to both, theory and practice.

scholarly journals MG-RAST version 4—lessons learned from a decade of low-budget ultra-high-throughput metagenome analysis

2017 ◽  
Vol 20 (4) ◽  
pp. 1151-1159 ◽  
Author(s):  
Folker Meyer ◽  
Saurabh Bagchi ◽  
Somali Chaterji ◽  
Wolfgang Gerlach ◽  
Ananth Grama ◽  
...  
Keyword(s):  
Performance Optimization ◽  
High Performance ◽  
Lessons Learned ◽  
Added Value ◽  
Data Sets ◽  
Real World Data ◽  
Metagenome Analysis ◽  
Trade Offs ◽  
And Performance ◽  
The Right

Abstract As technologies change, MG-RAST is adapting. Newly available software is being included to improve accuracy and performance. As a computational service constantly running large volume scientific workflows, MG-RAST is the right location to perform benchmarking and implement algorithmic or platform improvements, in many cases involving trade-offs between specificity, sensitivity and run-time cost. The work in [Glass EM, Dribinsky Y, Yilmaz P, et al. ISME J 2014;8:1–3] is an example; we use existing well-studied data sets as gold standards representing different environments and different technologies to evaluate any changes to the pipeline. Currently, we use well-understood data sets in MG-RAST as platform for benchmarking. The use of artificial data sets for pipeline performance optimization has not added value, as these data sets are not presenting the same challenges as real-world data sets. In addition, the MG-RAST team welcomes suggestions for improvements of the workflow. We are currently working on versions 4.02 and 4.1, both of which contain significant input from the community and our partners that will enable double barcoding, stronger inferences supported by longer-read technologies, and will increase throughput while maintaining sensitivity by using Diamond and SortMeRNA. On the technical platform side, the MG-RAST team intends to support the Common Workflow Language as a standard to specify bioinformatics workflows, both to facilitate development and efficient high-performance implementation of the community’s data analysis tasks.

scholarly journals The life of high-level athletes: The challenge of high performance against the time constraint

2016 ◽  
Vol 53 (2) ◽  
pp. 234-249 ◽  
Author(s):  
Fabrice Burlot ◽  
Rémi Richard ◽  
Helene Joncheray
Keyword(s):  
High Performance ◽  
Elite Athletes ◽  
Time Constraint ◽  
Sport Expertise ◽  
Pace Of Life ◽  
And Performance ◽  
High Level ◽  
State Of Tension ◽  
Sporting Performance

The conditions for high performance have changed considerably over the last few years. Athletes must spend more time training and competing, devote a lot of time to mental, physical and nutritional professionals and continue to respond to some constraints such as studying, spending time with their families, friends and quality of life. In this context and based on the work of Rosa, we wonder about the capacity of elite athletes to combine all these constraints, namely to manage the acceleration in their pace of life, in order to be able to achieve always more and better in the same time unit. To address this issue, we interviewed 42 French high-level athletes who train at the National Institute of Sport, Expertise and Performance (INSEP). Results show that to suit their goals, athletes implement arrangement and adjustment strategies aimed at making the time they have wholly useful and efficient. This time constraint puts athletes in a perpetual state of tension, on the verge of a good or poor life. The paper shows how the question of time, and particularly the acceleration of pace of life, is vital for modern sporting performance.

scholarly journals What Makes Employees Productive and Have High Performance? Human Capital Investment in Universities

2020 ◽  
pp. 21-36
Author(s):  
Fitri Nurmahmudah ◽  
Eka Cahya Sari Putra
Keyword(s):  
Human Capital ◽  
Capital Investment ◽  
High Performance ◽  
Evaluation Method ◽  
Net Present Value ◽  
Pearson Correlation ◽  
Human Capital Investment ◽  
Correlation Technique ◽  
And Performance ◽  
High Level

The study describes the evaluation results concerning the improvement of the education levels among the employees of a university in Indonesia by making an investment in education. The study is aimed at investigating the employees’ productivity and performance after making an investment in education. This study with evaluation method using discrepancy model. The sample of the study consisted of 255  non-academic university employees. Data were collected by way of a questionnaire on Guttmann scale. The questionnaire was validated by using logical and empirical validation by a Pearson correlation technique and reliability by KR-20 technique. The data analysis with descriptive. To calculate the capital human investment, the human capital investment formula was used for finding payback period, benefit/cost ration, return-on-investment, net-present-value, and internal-rate-of-return. The results of the study showed that the employees who made human capital investment in education were able to increase their productivity and performance as their insights, knowledge, and skills improved. The research findings were able to give insights to leaders in high-level institutions or government institutions that investing in education is truly essential, needs more attention, and needs to be done by employees.

High-End Storage

2012 ◽  
pp. 132-152
Author(s):  
Isabel Schwerdtfeger
Keyword(s):  
Real Time ◽  
Data Storage ◽  
High Performance ◽  
Storage System ◽  
Real Time Processing ◽  
Storage Solutions ◽  
Future Demands ◽  
And Performance ◽  
Extreme Scale ◽  
High Level

This chapter discusses the challenges high-end storage solutions will have with future demands. Due to heavy end-user demands for real-time processing of data access, this need must be addressed by high-end storage solutions. But what type of high-end storage solutions address this need and are suitable to ensure high performance write and retrieval of data in real-time from high- end storage infrastructures, including read and write access from digital archives? For this reason, this chapter reviews a few disk and tape solutions as well as combined disk- and tape storage solutions. The review on the different storage solutions does not focus on compliance of data storage management, but on available commercial high-end systems, addressing scalability and performance requirements both for online storage and archives. High level requirements aid in identifying high-end storage system features and support Extreme Scale infrastructures for the amount of data that high-end storage systems will need to manage in future.

scholarly journals Fabrication and Characterisation of Aligned Discontinuous Carbon Fibre Reinforced Thermoplastics as Feedstock Material for Fused Filament Fabrication

Materials ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 4671
Author(s):  
Lourens Blok ◽  
Marco Longana ◽  
Benjamin Woods
Keyword(s):  
High Performance ◽  
Mechanical Performance ◽  
Selection Process ◽  
Fibre Composite ◽  
Fibre Length ◽  
Fused Filament Fabrication ◽  
Continuous Fibre ◽  
And Performance ◽  
Reinforced Thermoplastics ◽  
High Level

In this work, aligned discontinuous fibre composite (ADFRC) tapes were developed and investigated as precursors for a novel 3D printing filament. ADFRCs have the potential to achieve mechanical performance comparable to continuous fibre reinforced composites, given sufficient fibre length and high level of alignment, and avoid many of the manufacturing difficulties associated with continuous fibres, e.g., wrinkling, bridging and corner radii constraints. Their potential use for fused filament fabrication (FFF) techniques was investigated here. An extensive down-selection process of thermoplastic matrices was performed, as matrix properties significantly impact both the processing and performance of the filament. This resulted in four candidate polymers (ABS, PLA, Nylon, PETG) which were used to manufacture ADFRC tapes with a Vf of 12.5% using the high performance discontinuous fibre (HiPerDiF) technology and an in-house developed continuous consolidation module. Tensile stiffness and strength up to 30 GPa and 400 MPa respectively were recorded, showing that a discontinuous fibre filament has the potential to compete with continuous fibre filaments.

Special Issue High Performance Parallel Functional Programming

2005 ◽  
Vol 15 (3) ◽  
pp. 351-352
Author(s):  
P. W. TRINDER
Keyword(s):  
Performance Analysis ◽  
Functional Programming ◽  
High Performance ◽  
Parallel Programs ◽  
Special Issue ◽  
Parallel And Distributed Computing ◽  
Multiple Processors ◽  
Programming Effort ◽  
And Performance ◽  
High Level

Engineering high-performance parallel programs is hard: not only must a correct, efficient and inherently-parallel algorithm be developed, but the computations must be effectively and efficiently coordinated across multiple processors. It has long been recognised that ideas and approaches drawn from functional programming may be particularly applicable to parallel and distributed computing (e.g. Wegner 1971). There are several reasons for this suitability. Concurrent stateless computations are much easier to coordinate, high-level coordination abstractions reduce programming effort, and declarative notations are amenable to reasoning, i.e. to optimising transformations, derivation and performance analysis.

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