Assessment of maximal aerobic speed in runners with different performance levels: Interest of a new intermittent running test

2021 ◽  
Author(s):  
S. Benhammou ◽  
L. Mourot ◽  
M.I. Mokkedes ◽  
A. Bengoua ◽  
A. Belkadi
Keyword(s):  
Performance Levels ◽  
Maximal Aerobic Speed

Comparison of Two Tests to Determine the Maximal Aerobic Speed

2020 ◽  
Vol 60 (2) ◽  
pp. 252-262
Author(s):  
Benhammou Saddek ◽  
Jérémy B.J. Coquart ◽  
Laurent Mourot ◽  
Belkadi Adel ◽  
Mokkedes Moulay Idriss ◽  
...  
Keyword(s):  
Physiological Responses ◽  
Intraclass Correlation ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Random Order ◽  
Standard Test ◽  
Maximal Heart Rate ◽  
Distance Runners ◽  
Gold Standard Test ◽  
Maximal Aerobic Speed

SummaryThe aims of this study were (a): to compare maximal physiological responses (maximal heart rate: HRmax and blood lactate concentration: [La-]) and maximal aerobic speed (MAS) achieved during a gold standard test (T-VAM) to those during a new test entitled: the 150-50 Intermittent Test (150-50IT), and (b): to test the reliability of the 150-50IT. Eighteen middle-distance runners performed, in a random order, the T-VAM and the 150-50IT. Moreover, the runners performed a second 150-50IT (retest). The results of this study showed that the MAS obtained during 150-50IT were significantly higher than the MAS during the T-VAM (19.1 ± 0.9 vs. 17.9 ± 0.9 km.h−1, p < 0.001). There was also significant higher values in HRmax (193 ± 4 vs. 191 ± 2 bpm, p = 0.011), [La-] (11.4 ± 0.4 vs. 11.0 ± 0.5 mmol.L−1, p = 0.039) during the 150-50IT. Nevertheless, significant correlations were noted for MAS (r = 0.71, p = 0.001) and HRmax (r = 0.63, p = 0.007). MAS obtained during the first 150-50IT and the retest were not significantly different (p = 0.76) and were significantly correlated (r = 0.94, p < 0.001, intraclass correlation coefficient = 0.93 and coefficient of variation = 6.8 %). In conclusion, the 150-50IT is highly reproducible, but the maximal physiological responses derived from both tests cannot be interchangeable in the design of training programs.

Deep Learning for text in limted data settings

2020 ◽  
Author(s):  
Pathikkumar Patel ◽  
Bhargav Lad ◽  
Jinan Fiaidhi
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Deep Learning ◽  
Sentiment Analysis ◽  
Transfer Learning ◽  
Text Classification ◽  
State Of The Art ◽  
Time Series Forecasting ◽  
Text Data ◽  
Performance Levels

During the last few years, RNN models have been extensively used and they have proven to be better for sequence and text data. RNNs have achieved state-of-the-art performance levels in several applications such as text classification, sequence to sequence modelling and time series forecasting. In this article we will review different Machine Learning and Deep Learning based approaches for text data and look at the results obtained from these methods. This work also explores the use of transfer learning in NLP and how it affects the performance of models on a specific application of sentiment analysis.

scholarly journals Disentangling general achievement levels and subject-specific strengths and weaknesses in mathematics, reading, and science

2020 ◽  
Author(s):  
Olesya Gladushyna ◽  
Rolf Strietholt ◽  
Isa Steinmann
Keyword(s):  
Reading Literacy ◽  
Performance Levels ◽  
Fourth Grade Students ◽  
Subject Specific ◽  
The Subject ◽  
Overall Performance ◽  
Cross Country ◽  
And Gender ◽  
Mathematics And Science ◽  
Achievement Levels

AbstractThe paper uses data from the combined TIMSS (Trends in International Mathematics and Science Study) and PIRLS (Progress in International Reading Literacy Study) assessment in 2011 to explore the subject-specific strengths and weaknesses among fourth grade students worldwide. Previous research came to the conclusion that students only differed in overall achievement levels and did not exhibit subject-specific strengths and weaknesses. This research did, however, not control for differences in overall performance levels when searching for profile differences. Therefore, the present study uses factor mixture analysis to study qualitatively different performance profiles in mathematics, reading, and science while controlling for differences in performance levels. Our findings suggest that the majority of students do not show pronounced strengths and weaknesses and differ mainly in performance levels across mathematics, reading, and science. At the same time, a smaller share of students does indeed show pronounced subject-specific strengths and weaknesses. This result does not represent an artefact, but we find clear and theory-conforming associations between the identified profiles and covariates. We find evidence for cross-country differences in the frequency of subject-specific strengths and weaknesses and gender differences, as well as differences between students who do not or only sometimes speak the language of test at home.

TECHNO21: Design and Implementation of a New Performance Management System

2021 ◽  
pp. 097282012199495
Author(s):  
Asfia Obaid ◽  
Saman Rahman ◽  
Asia Mehmood ◽  
Neelab Kayani
Keyword(s):  
Organizational Culture ◽  
Organizational Performance ◽  
System Design ◽  
Performance Management ◽  
Management System ◽  
Performance Management System ◽  
Performance Levels ◽  
Strategic Objectives ◽  
Design And Implementation ◽  
The Face

The case highlights the key concerns and issues an organization may face if its performance management system (PMS) does not serve its intended purpose and how it can cause demotivation and dissatisfaction among employees and result in an overall decline in organizational performance. It also illustrates how employees’ organizational culture and perception can be as important as the system design and can present challenges even if an elaborate system is planned. In the face of increasing turmoil among employees towards management and the decreasing performance of the organization, TECHNO21 decided to change its current PMS, which seemed a difficult but necessary step to achieve the desired performance levels and overall strategic objectives of the organization.

Performance management in public universities: overcoming bureaucracy

2018 ◽  
Vol 67 (4) ◽  
pp. 736-753 ◽  
Author(s):  
Nunzio Angiola ◽  
Piervito Bianchi ◽  
Letizia Damato
Keyword(s):  
Performance Management ◽  
Public Universities ◽  
Organizational Factors ◽  
Public University ◽  
Management Systems ◽  
Management Tools ◽  
Performance Levels ◽  
Content Type ◽  
Performance Management Systems ◽  
Adoption And Implementation

Purpose Considering a micro performance perspective, the purpose of this paper is to analyze whether and to what extent the adoption of better performance management systems could improve the performance levels of a public university. Design/methodology/approach With reference to a period of four years (2011-2014), the quality of performance management systems of 29 Italian universities (response rate: 48 percent) was examined and the possible effects on performance levels of these institutions were analyzed by means of statistical methodologies (multiple regression analysis). Outcome indicators were considered. Findings The findings indicate the need to go further “measurement,” and to take care of performance “management,” especially in complex organizations as universities, where academicians identify themselves more with their professions than with the organization and where technicians and administrative employees might look at the performance-based reform with “bureaucratic eyes.” A fruitful cooperation between the professional soul and the bureaucratic one is paramount. Originality/value Studies which analyze organizational factors that could affect the adoption and implementation of performance management systems are rare, and use in prevalence qualitative methods or refer to machine bureaucracies, not many to professional ones as public universities. Moreover, the performance management literature in a public university context deepens the topic of the selection of KPIs and the focus is mainly on macro performance or on management tools for gathering and analyzing performance measures.

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