EFFECT OF MASSAGE ON RECOVERY AFTER AN EXERCISE

2021 ◽  
Vol 8 (3) ◽  
pp. 80-84
Author(s):  
Tülin ATAN
Keyword(s):  
Male Volunteer ◽  
Vertical Jump ◽  
Pairwise Comparison ◽  
The Other ◽  
Anaerobic Exercise ◽  
Data Sets ◽  
Resting Heart Rate ◽  
Jump Test ◽  
Sports Sciences ◽  
Paired T Test

The purpose of this study is to examine whether massage has an effect on recovery after high intensity exercise. 20 male volunteer students (age 23.00 ± 2.99 years) attending the Faculty of Sports Sciences were participated the study. Repeated vertical jump test (DST) was applied 30 seconds with one week intervals as an anaerobic exercise. Ten randomly selected subjects first recovered after DST without massaging the legs, while the other 10 subjects recovered by massage. A week later; the subjects recovered without massage were recovered by massage, while the subjects who were massaged were recovered without massage. The resting heart rate (HR) values of the athletes were taken before DST, and then subjected to the DST test. Recovery of the subjects was followed up for 15 minutes after the test. HR measurements were recorded every minute of recovery. Shapiro Wilk test was used to check whether the data showed normal distribution and parametric statistical analysis was used because data sets are normally distributed. Paired t test was used for the pairwise comparison. HR values at 1st and 2nd minutes of massage recovery after anaerobic exercise were lower than non-massage recovery HR values (p<0.05). Recovery by massaging reduced HR faster and accelerated recovery. Massage recovery values up to 5 minutes of recovery are lower, although not statistically significant. Between the 2nd and the 15th minutes of the recovery, HR values did not differ statistically (p>0.05). As a conclusion, when massage is performed, recovery occurs faster in the first 5 minutes after exercise. This result shows that starting massage immediately after exercise accelerates recovery.

A NOVEL FLOW-BASED METHOD USING GREY RELATIONAL ANALYSIS FOR PATTERN CLASSIFICATION

2013 ◽  
Vol 12 (01) ◽  
pp. 75-93 ◽  
Author(s):  
YI-CHUNG HU
Keyword(s):  
Grey Relational Analysis ◽  
Learning Algorithm ◽  
Pairwise Comparison ◽  
The Other ◽  
Data Sets ◽  
Classification Problems ◽  
Real World Data ◽  
Relational Analysis ◽  
The Difference ◽  
Grey Relational

Flow-based methods based on the outranking relation theory are extensively used in multiple criteria classification problems. Flow-based methods usually employed an overall preference index representing the flow to measure the intensity of preference for one pattern over another pattern. A traditional flow obtained by the pairwise comparison may not be complete since it does not globally consider the differences on each criterion between all the other patterns and the latter. That is, a traditional flow merely locally considers the difference on each criterion between two patterns. In contrast with traditional flows, the relationship-based flow is newly proposed by employing the grey relational analysis to assess the flow from one pattern to another pattern by considering the differences on each criterion between all the other patterns and the latter. A genetic algorithm-based learning algorithm is designed to determine the relative weights of respective criteria to derive the overall relationship index of a pattern. Our method is tested on several real-world data sets. Its performance is comparable to that of other well-known classifiers and flow-based methods.

scholarly journals LATIHAN HIGH INTENSITY PLYOMETRIC HURDLE HOPPING MENINGKATKAN KEMAMPUAN VERTICAL JUMP SPIKER

Jurnal Segar ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 63-67
Author(s):  
Herwin ◽  
Imam Subadi ◽  
Purwo Sri Rejeki
Keyword(s):  
High Intensity ◽  
Vertical Jump ◽  
T Test ◽  
Test Design ◽  
Jump Test ◽  
Post Test ◽  
Paired T Test

Abstrak. Keterampilan teknik spike membutuhkan kemampuan vertical jump yang baik. Penelitian ini bertujuan untuk mengetahui perbedaan kemampuan vertical jump setelah melakukan latihan high intensity plyometric hurdle hopping pada pemain bolavoli. Metode penelitian menggunakan metode eksperimen lapangan dengan one group pre test-post test design. Sembilan sampel atlet dipilih dari populasi atlet bolavoli klub pertamina Makassar secara random. Vertical jump test digunakan untuk mengukur tinggi lompatan. Sampel berpartisipasi dalam penelitian tiga hari dalam seminggu selama empat minggu dan menyelesaikan 12 sesi pelatihan, pada frekuensi 3 sesi per minggu. Hasil paired t-test menunjukkan perbedaan yang signifikan pada kemampuan tinggi lompatan (p<0,05). Disimpulkan dari penelitian ini bahwa pelatihan high intensity plyometric hurdle hopping meningkatkan kemampuan vertical jump pemain bolavoli.

scholarly journals Using historical data to facilitate clinical prevention trials in Alzheimer disease? An analysis of longitudinal MCI (mild cognitive impairment) data sets

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Manfred Berres ◽  
Andreas U. Monsch ◽  
René Spiegel
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Performance ◽  
Placebo Treatment ◽  
Drug Trial ◽  
The Other ◽  
Data Sets ◽  
Control Groups ◽  
Community Needs ◽  
Clinical Prevention

Abstract Background The Placebo Group Simulation Approach (PGSA) aims at partially replacing randomized placebo-controlled trials (RPCTs), making use of data from historical control groups in order to decrease the needed number of study participants exposed to lengthy placebo treatment. PGSA algorithms to create virtual control groups were originally derived from mild cognitive impairment (MCI) data of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. To produce more generalizable algorithms, we aimed to compile five different MCI databases in a heuristic manner to create a “standard control algorithm” for use in future clinical trials. Methods We compared data from two North American cohort studies (n=395 and 4328, respectively), one company-sponsored international clinical drug trial (n=831) and two convenience patient samples, one from Germany (n=726), and one from Switzerland (n=1558). Results Despite differences between the five MCI samples regarding inclusion and exclusion criteria, their baseline demographic and cognitive performance data varied less than expected. However, the five samples differed markedly with regard to their subsequent cognitive performance and clinical development: (1) MCI patients from the drug trial did not deteriorate on verbal fluency over 3 years, whereas patients in the other samples did; (2) relatively few patients from the drug trial progressed from MCI to dementia (about 10% after 4 years), in contrast to the other four samples with progression rates over 30%. Conclusion Conventional MCI criteria were insufficient to allow for the creation of well-defined and internationally comparable samples of MCI patients. More recently published criteria for MCI or “MCI due to AD” are unlikely to remedy this situation. The Alzheimer scientific community needs to agree on a standard set of neuropsychological tests including appropriate selection criteria to make MCI a scientifically more useful concept. Patient data from different sources would then be comparable, and the scientific merits of algorithm-based study designs such as the PGSA could be properly assessed.

scholarly journals DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Hossein Ahmadvand ◽  
Fouzhan Foroutan ◽  
Mahmood Fathy
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Processing Time ◽  
Experimental Results ◽  
The Other ◽  
Data Sets ◽  
Multiple Sources ◽  
Evaluation Phase ◽  
Dynamic Voltage ◽  
Processing Resources

AbstractData variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature of Big Data causes high variation in the consumption of processing resources such as CPU consumption. This issue has been overlooked in previous works. To overcome the mentioned problem, in the present work, we used Dynamic Voltage and Frequency Scaling (DVFS) to reduce the energy consumption of computation. To this goal, we consider two types of deadlines as our constraint. Before applying the DVFS technique to computer nodes, we estimate the processing time and the frequency needed to meet the deadline. In the evaluation phase, we have used a set of data sets and applications. The experimental results show that our proposed approach surpasses the other scenarios in processing real datasets. Based on the experimental results in this paper, DV-DVFS can achieve up to 15% improvement in energy consumption.

scholarly journals Theory and Applications of the Unit Gamma/Gompertz Distribution

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1850
Author(s):  
Rashad A. R. Bantan ◽  
Farrukh Jamal ◽  
Christophe Chesneau ◽  
Mohammed Elgarhy
Keyword(s):  
Stochastic Ordering ◽  
Real Data ◽  
Rate Function ◽  
The Other ◽  
Likelihood Method ◽  
Model Parameters ◽  
Data Sets ◽  
Gompertz Distribution ◽  
Probability And Statistics ◽  
Analytical Behavior

Unit distributions are commonly used in probability and statistics to describe useful quantities with values between 0 and 1, such as proportions, probabilities, and percentages. Some unit distributions are defined in a natural analytical manner, and the others are derived through the transformation of an existing distribution defined in a greater domain. In this article, we introduce the unit gamma/Gompertz distribution, founded on the inverse-exponential scheme and the gamma/Gompertz distribution. The gamma/Gompertz distribution is known to be a very flexible three-parameter lifetime distribution, and we aim to transpose this flexibility to the unit interval. First, we check this aspect with the analytical behavior of the primary functions. It is shown that the probability density function can be increasing, decreasing, “increasing-decreasing” and “decreasing-increasing”, with pliant asymmetric properties. On the other hand, the hazard rate function has monotonically increasing, decreasing, or constant shapes. We complete the theoretical part with some propositions on stochastic ordering, moments, quantiles, and the reliability coefficient. Practically, to estimate the model parameters from unit data, the maximum likelihood method is used. We present some simulation results to evaluate this method. Two applications using real data sets, one on trade shares and the other on flood levels, demonstrate the importance of the new model when compared to other unit models.

scholarly journals Assessment of Sampling Effects on Various Satellite-Derived Integrated Water Vapor Datasets Using GPS Measurements in Germany as Reference

2020 ◽  
Vol 12 (7) ◽  
pp. 1170 ◽  
Author(s):  
Cintia Carbajal Henken ◽  
Lisa Dirks ◽  
Sandra Steinke ◽  
Hannes Diedrich ◽  
Thomas August ◽  
...  
Keyword(s):  
Water Vapor ◽  
Pairwise Comparison ◽  
Weather Conditions ◽  
Satellite System ◽  
High Temporal Resolution ◽  
Data Sets ◽  
Frequency Distributions ◽  
Temporal Sampling ◽  
Global Navigation Satellite ◽  
Satellite Instruments

Passive imagers on polar-orbiting satellites provide long-term, accurate integrated water vapor (IWV) data sets. However, these climatologies are affected by sampling biases. In Germany, a dense Global Navigation Satellite System network provides accurate IWV measurements not limited by weather conditions and with high temporal resolution. Therefore, they serve as a reference to assess the quality and sampling issues of IWV products from multiple satellite instruments that show different orbital and instrument characteristics. A direct pairwise comparison between one year of IWV data from GPS and satellite instruments reveals overall biases (in kg/m 2 ) of 1.77, 1.36, 1.11, and −0.31 for IASI, MIRS, MODIS, and MODIS-FUB, respectively. Computed monthly means show similar behaviors. No significant impact of averaging time and the low temporal sampling on aggregated satellite IWV data is found, mostly related to the noisy weather conditions in the German domain. In combination with SEVIRI cloud coverage, a change of shape of IWV frequency distributions towards a bi-modal distribution and loss of high IWV values are observed when limiting cases to daytime and clear sky. Overall, sampling affects mean IWV values only marginally, which are rather dominated by the overall retrieval bias, but can lead to significant changes in IWV frequency distributions.

Data Documents

2021 ◽  
Vol 48 (4) ◽  
pp. 307-328
Author(s):  
Dominic Farace ◽  
Hélène Prost ◽  
Antonella Zane ◽  
Birger Hjørland ◽  
◽  
...  
Keyword(s):  
Citation Index ◽  
The Other ◽  
Data Sets ◽  
Bibliometric Data ◽  
Model Data ◽  
Other Hand ◽  
Data Citation ◽  
Philosophical Assumption ◽  
The One

This article presents and discusses different kinds of data documents, including data sets, data studies, data papers and data journals. It provides descriptive and bibliometric data on different kinds of data documents and discusses the theoretical and philosophical problems by classifying documents according to the DIKW model (data documents, information documents, knowl­edge documents and wisdom documents). Data documents are, on the one hand, an established category today, even with its own data citation index (DCI). On the other hand, data documents have blurred boundaries in relation to other kinds of documents and seem sometimes to be understood from the problematic philosophical assumption that a datum can be understood as “a single, fixed truth, valid for everyone, everywhere, at all times”

scholarly journals PENGARUH LATIHAN PLYOMETRIC TERHADAP PENINGKATAN KEMAMPUAN VERTICAL JUMP PESERTA KEGIATAN EKSTRAKURIKULER BOLABASKET SMAN 1 PAGELARAN

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Reza Adhi Nugroho ◽  
Aditya Gumantan
Keyword(s):  
Vertical Jump ◽  
Purposive Sampling ◽  
Jump Test

Latar belakang dari penelitian ini adalah kurang baiknya kemampuan vertical jump peserta yang mengikuti ektrakurikuler bolabasket SMA N 1 Pagelaran. Penelitian ini bertujuan untuk mengetahui pengaruh latihan lompat  terhadap peningkatan vertical jump dalam permainan bolabasket peserta didik yang mengikuti ekstrakurikuler bolabasket di SMAN 1 Pagelaran. Penelitian ini merupakan penelitian eksperimen dengan adanya disain pretest dan posttest. Teknik pengambilan sampel menggunakan purposive sampling, peserta yang memenuhi kriteria berjumlah 20 siswa dari 25 siswa yang mengikuti kegiatan ektrakurikuler bolabasket. Instrumen yang digunakan dalam penelitian ini yaitu vertical jump test. Sedangkan treatment yang diberikan berupa latihan plyometric dengan beberapa modifikasi. Teknik analisis data dengan menggunakan uji-t. Dari hasil penelitian dan pembahasan dapat ditarik kesimpulan bahwa ada pengaruh yang signifikan pada kebugaran jasmani peserta ekstrakurikuler setelah mendapatkan treatment berupa latihan plyometric dengan nilai thitung = 11,903 > ttabel = 1,729.

scholarly journals PENGARUH LATIHAN PLYOMETRIC BOX JUMP DAN PLYOMETRIC STANDING JUMP TERHADAP KEMAMPUAN VERTICAL JUMP PADA ATLET KLUB BOLA VOLI

MEDIKORA ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 64-69
Author(s):  
Bayu Adhitya Bagaskara ◽  
Suharjana Suharjana
Keyword(s):  
Vertical Jump ◽  
Male Athletes ◽  
Male Athlete ◽  
Significance Level ◽  
Analysis Techniques ◽  
Jump Training ◽  
Jump Test ◽  
Post Test ◽  
Jump Ability ◽  
Vertical Jumps

Penelitian ini bertujuan untuk mengetahui: 1) adakah pengaruh latihan Box jump terhadap vertical jump atlet putra Ganevo usia 14-17 tahun, 2) adakah pengaruh latihan standing jump terhadap vertical jump atlet putra Ganevo usia 14-17 tahun, 3) jenis latihan yang lebih efektif terhadap vertical jump atlet putra Ganevo usia 14-17 tahun. Penelitian ini adalah experiment dengan desain penelitian yang digunakan adalah “two groups pretest-posttest design”. Instrumen dalam penelitian ini tes vertical jump dengan reliabilitas 0,99 dan validitas 0,989. Subjek dalam penelitian adalah Atlet Klub Bola Voli Ganevo Usia 14 – 17 Tahun yang berjumlah 24 Atlet. Teknik analisis data menggunakan uji t dengan taraf signifikansi 5 %. Hasil penelitian menyimpulkan: (1) ada pengaruh latihan plyometric box jump terhadap vertical jump atlet bola voli putra Ganevo Usia 14-17 tahun, dengan t hitung (8,660) > t table (2,201), dan nilai Signifikansi (0,000) < dari (0,05), (2) ada pengaruh latihan plyometric standing jump terhadap vertical jump atlet bola voli putra Ganevo Usia 14-17 tahun, dengan t hitung (3,522) > t table (2,201), dan nilai Signifikansi (0,005) < dari (0,05), (3) latihan plyometric standing jump lebih baik untuk meningkatkan vertical jump atlet bola voli Ganevo putra Usia 14-17 tahun, dengan t hitung (2,133) > t table (1,720), dan nilai Signifikansi (0,026) < dari (0,05). Selisih posstest sebesar 1,75 cm. EFFECT OF PLYOMETRIC BOX JUMP AND PLYOMETRIC STANDING JUMP TOWARD VERTICAL JUMP ABILITY IN VOLLEY BALL CLUB ATHLETES AbstractThis study aims to determine: 1) is there any influence of Box jump training on vertical jumps of Ganevo male athletes aged 14-17 years, 2) is there any influence of standing jump exercises on vertical jumps of Ganevo male athletes aged 14-17 years, 3) is there any types of exercises give effective effect toward vertical jump of male athlete Ganevo aged 14-17 years. This research is an experiment study using two groups pretest-posttest design. The instrument in this study was a vertical jump test with a reliability of 0.99 and a validity of 0.989. Subjects in this study were Ganevo Volleyball Club Athletes Aged 14-17 Years, 24 Athletes in total as subjects. Data analysis techniques used the t test with a significance level of 5%.The results of the study concluded: (1) there was an effect of plyometric box jump training on the vertical jump of male volleyball athlete Ganevo Age 14-17 years, with t count (8,660)> t table (2,201), and the Significance value (0,000) < of (0 , 05), (2) there is the influence of plyometric standing jump training on the vertical jump of male volleyball athlete Ganevo Age 14-17 years, with t arithmetic (3,522) > t table (2,201), and the Significance value (0.005) < of (0 , 05), (3) plyometric standing jump training is better to increase vertical jump for volleyball athletes of Ganevo men aged 14-17 years, with t arithmetic (2,133)> t table (1,720), and significance value (0.026) <of ( 0.05). Post-test difference of 1.75 cm.

scholarly journals Intensidade do vento de dois ciclones tropicais obtida por diferentes conjuntos de dados

2020 ◽  
Vol 13 (1) ◽  
pp. 067
Author(s):  
Christie Andre Souza ◽  
Michelle Simões Reboita
Keyword(s):  
Tropical Cyclones ◽  
The Other ◽  
Data Sets ◽  
Global Forecast System ◽  
Forecast System ◽  
Wind Intensity

Os ciclones tropicais quando atingem ventos com intensidade igual ou superior a 119 km/h desenvolvem uma estrutura conhecida como olho em seu centro. Já os ventos mais intensos do sistema são encontrados imediatamente após o olho. Num estudo recente para os ciclones Haiyan e Haima foi levantada a questão da qualidade dos dados do Global Forecast System (GFS) em representar os ventos uma vez que os ventos máximos apareceram no olho do sistema. Diante disso, esse estudo tem como objetivo avaliar como diferentes conjuntos de dados (GFS, ERA5, ERA-Interim e CCMP) representam os ventos nesses dois ciclones tropicais. A ERA5 e o GFS mostram ventos mais intensos nos ciclones do que os outros dois conjuntos de dados. Todos, exceto o GFS, mostram claramente ventos mais fracos no olho dos ciclones.  Wind intensity of two tropical cyclones obtained by different data sets A B S T R A C TWhen the tropical cyclones reach winds with intensity equal or higher than 119 km/h, they develop a structure known as the eye at its center. The strongest winds in the system are found immediately after the eye. In a recent study for Haiyan and Haima cyclones, the question of the quality of the Global Forecast System (GFS) data in representing the winds once the maximum winds appeared in the system eye was raised. Therefore, this study aims to evaluate how different data sets (GFS, ERA5, ERA-Interim and CCMP) represent the winds in these two tropical cyclones. ERA5 and GFS show cyclones with more intense winds than the other datasets. Except the GFS, the other data clearly show weaker winds in the cyclone eye.Keywords: analyzes; cyclones; meteorology; reanalysis

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