scholarly journals Task experience influences coordinative structures and performance variables in learning a slalom ski-simulator task

2018 ◽  
Vol 28 (5) ◽  
pp. 1604-1614 ◽  
Author(s):  
A. Dutt-Mazumder ◽  
K. M. Newell
Keyword(s):  
Performance Variables ◽  
And Performance ◽  
Task Experience

Physical and performance variables for talent identification in water polo

2020 ◽  
Vol 60 (10) ◽  
Author(s):  
Valerio Viero ◽  
Tamara Triossi ◽  
Daniele Bianchi ◽  
Alessandro Campagna ◽  
Giovanni Melchiorri
Keyword(s):  
Talent Identification ◽  
Performance Variables ◽  
Water Polo ◽  
And Performance

PSIV-2 A comparison of feedlot growth and performance of beef x Holstein crossbred steers and Holstein steers

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 298-299
Author(s):  
Bailey L Basiel ◽  
Chad D Dechow ◽  
Tara L Felix
Keyword(s):  
Feed Intake ◽  
Feed Efficiency ◽  
Average Daily Gain ◽  
Corn Silage ◽  
Department Of Agriculture ◽  
Feedlot Performance ◽  
Performance Variables ◽  
Dried Distillers Grains ◽  
And Performance ◽  
Daily Gain

Abstract Objectives were to compare feedlot performance and carcass traits of F1 beef × Holstein steers and Holstein steers. Angus or Limousin × Holstein crossbred [n = 27; age = 12 ± 3 months; body weight (BW) = 435 ± 8 kg] and Holstein (n = 20; age = 11 ± 2 months; BW = 400 ± 9 kg) steers were fed at the Pennsylvania Department of Agriculture Livestock Evaluation Center for 111 days. Feed intake was recorded using the GrowSafe Feed Intake Monitoring System (Model 4000E, GrowSafe Systems Ltd., Calgary AB, Canada). The diet contained corn silage, dried distillers grains, soybean meal, and cracked corn and was formulated to meet or exceed the requirements of beef cattle (NASEM, 2016). Growth performance variables of interest and carcass measurements were analyzed with the Mixed procedure of SAS (SAS 9.4; SAS Institute Inc., Cary, NC). USDA assigned quality grades (QG) and yield grades (YG) were analyzed the with GLIMMIX procedure of SAS. Breed was a fixed effect in all models. There were no differences (P > 0.05) between breeds in average daily gain or feed efficiency. Crossbreds exceeded Holsteins in initial (P < 0.01) and final BW (P = 0.01), dry matter intake (P = 0.03), hot carcass weight (P < 0.01), backfat (P = 0.03), and ribeye area (REA; P < 0.01). Thirty-five percent (35%) of the Holsteins received a QG of Choice or above while 74% of crossbreds graded USDA Choice or above (P = 0.01). However, 75% of Holsteins were YG 2 or lower while only 45% of crossbreds achieved YG 2 or less (P = 0.05). There was no improvement in efficiency when crossbreds were compared to Holsteins; however, carcasses from crossbreds were more likely to grade USDA Choice or above while yielding greater REA and backfat than Holsteins.

The Development of Sweden's R&D-Intensive Electronics Industries: Exports, Outsourcing, and Territorial Distribution

1996 ◽  
Vol 28 (5) ◽  
pp. 783-817 ◽  
Author(s):  
L Suarez-Villa ◽  
C Karlsson
Keyword(s):  
Export Performance ◽  
Plant Size ◽  
Production Costs ◽  
Export Market ◽  
Small Scale ◽  
Performance Variables ◽  
Continuous Innovation ◽  
Spatial Differences ◽  
And Performance ◽  
Employment Characteristics

Sweden's research-intensive electronics industries have thrived by developing export-market niches that rely greatly on continuous innovation and substantial expenditures in R&D. Over the past two decades, three R&D-intensive sectors (telecommunications equipment, electronic instruments, and computing-equipment manufacturing) have experienced a progressive territorial distribution, that has made them less reliant on the metropolitan concentration of the capital for their outsourcing and research arrangements. In this article we explore the relationship between R&D intensity, territorial distribution, subcontracting, and establishment performance in the R&D-intensive electronics industries. The export performance of these industries is considered first, along with its relationship with employment characteristics and territorial location. An analysis of the territorial distribution, and its relationship with establishment downsizing and subcontracting, provides insights on the significance of lower costs and higher R&D intensity for small-scale operations. Statistical analyses of R&D intensity and performance variables that include labour skills, plant size, production costs, fixed capital assets, and profitability, with establishment-level survey data, provide important insights on the effects of subcontracting and any spatial differences resulting thereof.

Changes in physiological and performance variables in non-professional triathletes after taking part in an Olympic distance triathlon

2018 ◽  
Vol 26 (3) ◽  
pp. 323-331 ◽  
Author(s):  
Guillermo Olcina ◽  
Rafael Timón ◽  
Javier Brazo-Sayavera ◽  
Ismael Martínez-Guardado ◽  
Marta Marcos-Serrano ◽  
...  
Keyword(s):  
Performance Variables ◽  
And Performance

scholarly journals Influence of COVID-19 Restrictions on Training and Physiological Characteristics in U23 Elite Cyclists

2021 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Peter Leo ◽  
Iñigo Mujika ◽  
Justin Lawley
Keyword(s):  
Power Output ◽  
Ventilatory Threshold ◽  
Training Load ◽  
Peak Power Output ◽  
Physiological Performance ◽  
Performance Variables ◽  
Elite Level ◽  
And Performance ◽  
Power Outputs ◽  
Elite Cyclists

PURPOSE: The COVID-19 pandemic and its associated mobility restrictions caused many athletes to adjust or reduce their usual training load. The aim of this study was to investigate how the COVID-19 restrictions affected training and performance physiology measures in U23 elite cyclists. METHODS: Twelve U23 elite cyclists (n = 12) participated in this study (mean ± SD: Age 21.2 ± 1.2 years; height 182.9 ± 4.7 cm; body mass 71.4 ± 6.5 kg). Training characteristics were assessed between 30 days pre, during, and post COVID-19 restrictions, respectively. The physiological assessment in the laboratory was 30 days pre and post COVID-19 restrictions and included maximum oxygen uptake (V̇O2max), peak power output for sprint (SprintPmax), and ramp incremental graded exercise (GXTPmax), as well as power output at ventilatory threshold (VT) and respiratory compensation point (RCP). RESULTS: Training load characteristics before, during, and after the lockdown remained statistically unchanged (p > 0.05) despite large effects (>0.8) with mean reductions of 4.7 to 25.0% during COVID-19 restrictions. There were no significant differences in maximal and submaximal power outputs, as well as relative and absolute V̇O2max between pre and post COVID-19 restrictions (p > 0.05) with small to moderate effects. DISCUSSION: These results indicate that COVID-19 restrictions did not negatively affect training characteristics and physiological performance measures in U23 elite cyclists for a period of <30 days. In contrast with recent reports on professional cyclists and other elite level athletes, these findings reveal that as long as athletes are able to maintain and/or slightly adapt their training routine, physiological performance variables remain stable.

Simulation of human judgement in a robot-based adjustment system

Robotica ◽  
1984 ◽  
Vol 2 (4) ◽  
pp. 209-214 ◽  
Author(s):  
Fazel Naghdy ◽  
John Billingsley ◽  
David Harrison
Keyword(s):  
Decision Making ◽  
Quality Control ◽  
Automatic System ◽  
Computer Modelling ◽  
Performance Variables ◽  
Adjustment Procedure ◽  
And Performance ◽  
Adjustment System

SUMMARYA robot-based automatic system for adjusting energy regulators in electric cookers is described in this paper. It is claimed that this system improves the quality of the regulators and increases productivity. First, the operator's intuitive judgement and decision-making are simulated on a microcomputer; the structure and performance variables of the regulator are then described. A discussion of computer modelling of the regulator then follows, leading to the development of an algorithm for the adjustment procedure and overall strategy of the system. Experiments on 2,000 regulators showed that this automated operation was superior to the manual procedure as regards consistency and accuracy. This technique based on a robot may be applied to quality control and manufacture of a variety of similar products.

The relationship between physiological and performance variables during a hot/humid international rugby sevens tournament

2021 ◽  
pp. 1-23
Author(s):  
Stephen P. Fenemor ◽  
N. D Gill ◽  
M. W. Driller ◽  
B. Mills ◽  
J. R. Casadio ◽  
...  
Keyword(s):  
Performance Variables ◽  
And Performance ◽  
The Relationship

Determining the Optimal Interval Exercise Intensity Dose for Improving Exercise Performance

2016 ◽  
Author(s):  
Norah MacMillan
Keyword(s):  
Interval Training ◽  
Active Recovery ◽  
Performance Variables ◽  
Interval Exercise ◽  
Optimal Interval ◽  
Positive Effects ◽  
Long Duration ◽  
Before And After ◽  
And Performance ◽  
Type Of Exercise

Short duration interval training is a time-efficient exercise strategy that can improve fitness through changes in metabolic, cardiovascular and performance related variables. Studies have examined the positive effects of maximal intensity exercise (≥100% VO2max) on metabolic and performance variables in recreationally active individuals and trained athletes. The intensity of interval training required to cause improvements in aerobic fitness is unknown. This study will look at the performance related adaptations that occur with three different exercise intensities of interval training matched in terms of duration, frequency and type of exercise. Sixteen recreationally active individuals, both males (n=9, age = 23.3±3.3, VO2max = 44.2±6.5) and females (n=6, age = 21.5±0.7, VO2max = 39.7±5.4) were randomly assigned to one of three groups who trained using intervals at 120% VO2max (n=5), 90% VO2max (n=4) or 65% VO2max (n=7). The participants performed 14 days of training spread over 4 weeks that consisted of 8-12 repeats of 1-minute cycling at the prescribed intensity with 1-minute active recovery between intervals. Training increased time to fatigue in the 90% VO2max and 120% VO2max group however not in the 65% VO2max group. The changes in VO2max before and after training were significant in the 90% VO2max group and the 120% VO2max group, however not between the 120% VO2max and 90% VO2max group (p≤0.05). Interval training at 90% and 120% VO2max stimulates analogous improvements in fitness. These results may be important for diseased or sedentary populations where very high-intensity and long duration exercise may not be well tolerated.

Time-Based Modeling of Human Performance

2005 ◽  
Vol 49 (12) ◽  
pp. 1200-1204 ◽  
Author(s):  
Esa M. Rantanen ◽  
Brian R. Levinthal
Keyword(s):  
Human Performance ◽  
Mental Workload ◽  
Probabilistic Approach ◽  
The Other ◽  
Performance Variables ◽  
The Mean ◽  
And Performance ◽  
Methods Of Measurement

This paper presents a probabilistic approach to modeling human performance. Instead of focusing on mean performance, the effects of taskload on the distributions of performance variables are examined. From such data, probabilities of given levels of performance can be derived and methods of measurement that expand the analyses beyond those of the mean developed. Results from two experiments, one abstract, the other realistic, are presented in terms of timely performance on required tasks. As taskload increased, the participants were less likely to act on the experimental tasks at an earliest opportunity than under low taskload, resulting in increase of “too late” errors. Measurement of taskload and performance in temporal terms also allowed for bracketing and making inferences about mental workload, which is not directly measurable.

Towards a Conceptual Design Explorer Using Metamodeling Approaches and Constraint Programming

2003 ◽  
Author(s):  
Bernard Yannou ◽  
Timothy W. Simpson ◽  
Russell R. Barton
Keyword(s):  
Conceptual Design ◽  
Constraint Programming ◽  
Degrees Of Freedom ◽  
Practical Interest ◽  
Preference Aggregation ◽  
Surface Model ◽  
Performance Variables ◽  
Performance Constraints ◽  
And Performance ◽  
Mechanical Performances

Constraint Programming (CP) is a promising technique for managing uncertainty in conceptual design. It provides efficient algorithms for reducing, as quickly as possible, the domains of the design and performance variables while complying to the engineering and performance constraints linking them. In addition, CP techniques are suitable to graphically represent 3D projections of the complete design space. This is a useful capability for a better understanding of the product concept’s degrees of freedom and a valuable alternative to optimization based upon the construction of an arbitrary preference aggregation function. Unfortunately, one of the main impediments for using Constraint Programming on industrial problems of practical interest is that constraints must be represented by analytical equations, which is not the case of hard mechanical performances — such as meshing and finite element computations — that are usually obtained after lengthy simulations. We propose to use metamodeling techniques (MM) to generate approximated mathematical models of these analyses which can be employed directly within a CP environment, expanding the scope of CP to applications that previously could not be solved by CP due to the unavailability of analytical equations. We show that there is a tradeoff between the metamodel fidelity and the resulting CP constraint tractability. A strategy to find this compromise is presented. The case study of a combustion chamber design shows amazingly that the compromise is to favor the simplest and the coarsest first-order response surface model.

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