Search results

1

Prediction of vo2max based on age, body mass, and resting heart rate

100%

Rexhepi A. M., Brestovci B.

Human Movement

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2014

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vol. 15

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issue 1

56-59

EN

Purpose. The aim of the present study was to develop a non-exercise regression model for predicting maximal oxygen uptake (VO2max) using age, body mass, and resting heart rate as predictor variables. Methods. The VO2max of 1502 active football players aged 16-35 years was measured using the Astrand Bike Test. The obtained data were analyzed by calculating basic statistical parameters and performing correlation and regression analysis. Results. The results of regression analysis indicated that all three independent variables could significantly (p = 0.000) predict the VO2max of the studied athletes. Measured VO2max showed significant correlation (0.688) with predicted VO2max. Student’s paired samples t test indicated no significant differences between measured VO2max and predicted VO2max (p = 0.782). Conclusions. The results suggest that the nonexercise variables of age, body mass, and resting heart rate, may significantly predict the endurance abilities of athletes (VO2max).

2

Predicting students performance in giant slalom

100%

Mujanović E., Atiković A., Nožinović Mujanović, A., Nurković N.

Central European Journal of Sport Sciences and Medicine

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2014

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vol. 7

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issue 3

45-54

EN

The aim of this research is to determine the impact of specific motor knowledge of alpine skiing on success in giant slalom race of students. On a sample of 18 students of the Faculty of Physical Education and Sport there has been used set of four variables of specific motor knowledge of alpine skiing, as predictor variables, to determine the impact on the criterion variable modified giant slalom race. It was found that the variables dynamic long radius turns and skiing with the changes of rhythm and tempo together have a greatest predictor validity, at statistically significant level of p = 0.01, and that they are critical for success in modified giant slalom race of students. It can be concluded that the impact on the result in the modified giant slalom race for students have the level of mastering of advanced elements of ski technique, which at this level of knowledge is crucial in giant slalom competition. The results of this study may be of importance in creating programs for different levels of mastering of skiing techniques in both advanced ski school and some stages of competitive skiing, which is of great importance for the result in giant slalom and skiing in general.

3

Track planarity and verticality of the warehouse racks for the quality assessment of further operation

88%

Labant S., Bindzárová G. o. M., Rákay Š., Weiss E., Zuzik J., Labant S., Bindzárová G. o. M., Rákay Š., Weiss E., Zuzik J.

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2019

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vol. 68

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issue 2

4

Time Series Approach To Athletes Motor Potential

88%

Maszczyk A., Roczniok R., Pietraszewski P., Stanula A., Zając A., Gołaś A.

Polish Journal of Sport and Tourism

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2012

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vol. 19

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issue 2

103-106

EN

Introduction. The aim of this study was to determine the dynamics of changes in selected motor abilities of javelin throwers and to determine predictors of javelin throw distances. Material and methods. Research material included the results obtained from a group of 60 competitors from the Silesia Region of Poland, aged 14 - 15 years. In order to answer the research question, the following statistical analysis were employed: Pearson's linear correlation coefficients, vectors R0 and R1, time series analysis, distributed lag analysis and Almon distributed lag analysis and coefficient of concordance φ2Results. The correlation analyzes allowed for a selection of two variables for further analyses: specific strength of arms and trunk (SSAT) and specific strength of shoulders girdle and trunk (SSGT). Calculated indexes revealed that the level of SSAT showed a constant upward tendency (+15%). The highest rise in SSAT level was recorded in the 4th and 5th quarter (+9%). The level of SSGT showed an upward tendency nearly (+6%). In this case, the highest rise was observed in the 7th and 8th quarter (+4.5%). Conclusions. The standardized regression analysis revealed that the variable of specific power of arms and trunk (SOBT) is the most important predictor for javelin throw distance with a full approach run.

5

The Fluidity of Al-Si Alloy: Computer Simulation of the Influence of Temperature, Composition, and Pouring Speed

75%

Futáš P., Petrík J., Pribulová A., Blaško P., Palfy P.

Archives of Metallurgy and Materials

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2018

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vol. 63

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issue 4

6

Simulation Tests of the Method for Determining a CAD Model of Free-Form Surface Deterministic Deviations

75%

Poniatowska M., Werner A.

Metrology and Measurement Systems

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2012

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issue 1

7

Assessment of Deformation Properties of Coal Measure Sandstones Through Regression Analyses and Artificial Neural Networks

75%

Köken E., Köken E.

Archives of Mining Sciences

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2021

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vol. 66

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issue 4

8

Multiresponse optimization of EDM process with nanofluids using TOPSIS method and Genetic Algorithm

71%

Prabhu S., Vinayagam B. K., Prabhu S., Vinayagam B. K.

Archive of Mechanical Engineering

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2016

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vol. 63

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issue 1

9

Optimization of process parameters during end milling and prediction of work piece temperature rise

71%

Bhirud N. L., Gawande R. R., Bhirud N. L., Gawande R. R.

Archive of Mechanical Engineering

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2017

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vol. 64

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issue 3

10

An influence of parameters of micro-electrical discharge machining on wear of tool electrode

71%

Puthumana G., Puthumana G.

Archive of Mechanical Engineering

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2017

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vol. 64

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issue 2

11

Impact of epidemiological factors on occurrence of platypodia in children

63%

Pauk J., Ezerskiy V., Rogalski M.

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2010

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vol. 18

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issue 2

21-27

PL

Celem pracy jest weryfikacja wpływu wybranych czynników epidemiologicznych na wystąpienie płaskostopia u dzieci oraz opracowanie modelu matematycznego zależności wysokości łuku podłużnego stopy od takich czynników, jak: wiek, płeć, wskaźnik wagowo-wzrostowy Cole'a oraz miejsce zamieszkania dziecka. W badaniach przesiewowych uczestniczyło 450 uczniów z północno-wschodniej Polski. Po wstępnej analizie danych wytypowano 80 dzieci ze stopą płasko-koślawą w wieku 7-15 lat. W oparciu o uzyskane dane opracowano model matematyczny, za pomocą którego wykryto, że największy wpływ na wysokość łuku podłużnego stopy wykazują wiek i wskaźnik wagowo-wzrostowy Cole'a. Zaobserwowano, że wysokość łuku zwiększa się z wiekiem. Natomiast zwiększeniu wskaźnika Cole'a towarzyszy zmniejszenie się wysklepienia stopy. U chłopców wysokość łuku podłużnego była mniejsza niż u dziewczynek.

EN

The aim of this study was to verify the effect of selected epidemiological factors on the occurrence of platypodia in children and to establish a mathematical model of correlations for the impact of the following factors on the height of the longitudinal arch of the foot: gender, age, domicile and Cole's coefficient. 450 children from north-eastern parts of Poland were screened for the purpose of this study. After initial analysis, 80 children with valgus flat foot aged 7-15 years were chosen for further examination. The results of further examination were used to establish the mathematical model, which helped find out that age and the Cole coefficient have the highest impact on the height of the longitudinal arch of the foot. It was observed that the height of the arch increases with age, but decreases when the Cole coefficient rises. The height of the arch was greater in girls.

12

Predicition of compressive strength in light-weight Self-Compacting Concrete by ANFIS analytical model

63%

Vakhshouri B., Nejadi S., Vakhshouri B., Nejadi S.

Archives of Civil Engineering

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2015

|

issue 2

Refine search results

Prediction of vo2max based on age, body mass, and resting heart rate

Predicting students performance in giant slalom

Track planarity and verticality of the warehouse racks for the quality assessment of further operation

Time Series Approach To Athletes Motor Potential

The Fluidity of Al-Si Alloy: Computer Simulation of the Influence of Temperature, Composition, and Pouring Speed

Simulation Tests of the Method for Determining a CAD Model of Free-Form Surface Deterministic Deviations

Assessment of Deformation Properties of Coal Measure Sandstones Through Regression Analyses and Artificial Neural Networks

Multiresponse optimization of EDM process with nanofluids using TOPSIS method and Genetic Algorithm

Optimization of process parameters during end milling and prediction of work piece temperature rise

An influence of parameters of micro-electrical discharge machining on wear of tool electrode

Impact of epidemiological factors on occurrence of platypodia in children

Predicition of compressive strength in light-weight Self-Compacting Concrete by ANFIS analytical model