Evaluation of the Uniformity Coeffi cients

2014 ◽  
pp. 72-83
Keyword(s):  
Coeffi Cients

Heart Rate Recovery Changes during Competition Period in High-Level Basketball Players

2018 ◽  
Vol 1 (80) ◽  
Author(s):  
Audrius Gocentas ◽  
Anatoli Landõr ◽  
Aleksandras Kriščiūnas
Keyword(s):  
Heart Rate ◽  
Heart Rate Recovery ◽  
Team Sports ◽  
Basketball Players ◽  
Coeffi Cients ◽  
Competition Period ◽  
Monitoring Training ◽  
Intense Training ◽  
High Level

Research background and hypothesis. Replete schedule of competitions and intense training are features of contemporary team sports. Athletes, especially the most involved ones, may not have enough time to recover. As a consequence, aggregated fatigue can manifest in some undesirable form and affect athlete’s performance and health.Research aim. The aim of this study was to evaluate the changes in heart rate recovery (HRR) and investigate possible relations with sport-specifi c measures of effi cacy in professional basketball players during competition season.Research methods. Eight male high-level basketball players (mean ± SD, body mass, 97.3 ± 11.33 kg; height 2.02 ± 0.067 m, and age 23 ± 3.12 years) were investigated. The same basketball specifi c exercise was replicated several times from September till April during the practice sessions in order to assess the personal trends of HRR. Heart rate monitoring was performed using POLAR TEAM SYSTEM. Investigated athletes were ranked retrospectively according to the total amount of minutes played and the coeffi cients of effi cacy. Research results. There were signifi cant differences in the trends of HRR between the investigated players. The most effective players showed decreasing trends of HRR in all cases of ranking.Discussion and conclusions. Research fi ndings have shown that the quality of heart rate recovery differs between basketball players of the same team and could be associated with sport-specifi c effi cacy and competition playing time.Keywords: adaptation, autonomic control, monitoring training.

scholarly journals Person - job fi t and the work commitment of IT Personnel

2016 ◽  
Vol 26 (2) ◽  
pp. 218 ◽  
Author(s):  
Therasa C. ◽  
C. Vijayabanu
Keyword(s):  
Regression Analysis ◽  
Principal Component ◽  
Attrition Rate ◽  
P Value ◽  
Work Commitment ◽  
Key Factors ◽  
Coeffi Cients ◽  
Work Autonomy ◽  
Major Factors ◽  
The Impact

Introduction: There have been given a much higher importance to employee commitment and retention since India is experiencing the highest attrition rate globally Economic Times, 2015. Hence, considering the factors of Person-job fi t to interpret the impact towards work commitment is very well essential, especially in the current scenario. Work Commitment is a vital element in any organization which has outstanding impact on productivity and functioning and hence it is very much vital to have a committed workforce which is necessary in this competitive environment and tight labour market. In the same way, there is considerable amount of evidence that if P-J fi t is high then it will have a direct impact on organization commitment also. Person-job fi t is the compatibility between person’s competency and abilities and the requirements of the job Zheng et al.2. If there exists a mismatch between person-job fi t then the consequences might result in poor work commitment, low job satisfaction and extremely lower involvement in the job. Objective: This study analyzed the key factors that contribute to Person- job compatibility among IT workers and also analyzed the relationship and impact of Person- job compatibility towards work commitment. Methods: Exploratory Factor Analysis (EFA) was used to fi lter the key factors initially, followed by a linear regression technique to determine the impact of Person- job compatibility factors in work commitment on a sample of 300 employees. EFA used Principal Component analysis for extraction and Promax for rotation. Finally regression analysis was carried out to predict the work commitment through statistically significant person-job compatibility variables. Results: The impact of person-job compatibility on work commitment was studied through regression analysis and it imply that for every unit increase in HR Policy, a 0.52 (unstandardised coeffi cients) increase in work commitment is predicted and it has been turned out as a most impacting variable to predict work commitment. The coeffi cients for Relationship (B =.330, sig =.000), HR Policies (B =.519, sig =.000), Pay and Benefi ts (B =.386, sig =.000) and Employee Growth (B =.290, sig =.001) were statistically significant, since its p-value is .000 which is smaller than .05. The coeffi cients for Work Autonomy (B =.154, sig = .081) was not statistically signifi cant, since its p-value is 0.081 which is greater than.05. Conclusion: The major factors responsible for creating work commitment among IT employees are Relationship, HR Policies and strategies, Pay and benefi ts, Work autonomy and Employee growth. The most contributing regressors which accounts for creating work commitment are HR policies, Pay and benefi ts, Employee growth and work autonomy.

scholarly journals DETERMINATION OF THE AVERAGE WALL TEMPERATURE OF THE PLATE IN A RECUPERATIVE HEAT EXCHANGER WITH A CORRUGATED MESH INSERT

2021 ◽  
Vol 11 (1) ◽  
pp. 46-55
Author(s):  
Arman B. KOSTUGANOV ◽  
Vitaly V. DEMIDOCHKIN
Keyword(s):  
Heat Transfer ◽  
Heat Exchanger ◽  
Heat Exchange ◽  
Wall Temperature ◽  
Arithmetic Means ◽  
Average Value ◽  
Average Temperature ◽  
Coeffi Cients ◽  
Heat Transfer Coeffi ◽  
Recuperative Heat Exchanger

This article discusses the issue of determining the value the average wall temperature of the plate of a recuperative heat exchanger type “air-to-air” with a corrugated mesh insert based on the results processing the data of a physical experiment to determine the thermohydraulic characteristics such heat exchange surfaces. It has been established that the temperature fi eld of heat exchange surfaces of this type is nonuniform, depends on the conditions of heat exchange and hydraulic regimes of air fl ow. Therefore, the adoption of the arithmetic means value of the measured surface temperatures as the calculated average temperature of the heat exchanger wall entails signifi cant errors in the subsequent processing of experimental data and fi nal the values of the heat transfer coeffi cients, the values the Nusselt criterion and the criterion equations of heat transfer. It is proposed to determine the average value the wall temperature of the heat exchanger based on the results of measurements the wall’s temperatures, the estimate of the coordinates the center of distribution the results of measurements the wall temperatures, the equations of heat balance and heat transfer.

Two-Group Neutron Transport Theory with Anisotropic Scattering

1970 ◽  
Vol 25 (5) ◽  
pp. 587-594
Author(s):  
K. O. Thielheim ◽  
K. Claussen
Keyword(s):  
Integral Equation ◽  
Transport Theory ◽  
Neutron Transport ◽  
Full Range ◽  
Completeness Theorem ◽  
Anisotropic Scattering ◽  
Neutron Transport Theory ◽  
Coeffi Cients ◽  
Group Transport ◽  
Homogeneous Media

Abstract Two-group transport theory with anisotropic scattering in infinite homogeneous media is pre-sented in this paper. The kernel of the integral equation is expanded into a finite series of Legendre polynomials. Eigenfunctions and eigenvalues of the transformed integral equation are found and the number of discrete eigenvalues is calculated. The full-range completeness theorem as well as the orthogonality and normalization relations are presented. As an example the expansion coeffi-cients of the infinite-medium Green's function are explicitly calculated.

Frameworks Application for Estimation of Lyapunov Exponents for Systems with Periodic Coeffi cients

2020 ◽  
Vol 21 (1) ◽  
pp. 3-13
Author(s):  
N. N. Karabutov
Keyword(s):  
Lyapunov Exponents ◽  
Identification Problem ◽  
Almost Periodic ◽  
Histogram Method ◽  
Index Set ◽  
Periodic Coefficients ◽  
Order Estimation ◽  
Coeffi Cients ◽  
Problem Solve ◽  
System Order

The identification problem of Lyapunov exponents is considered for dynamic systems with periodic coefficients under uncertainty. Indexes identification is based on the analysis of a special class of frameworks describing dynamics of indexes change. The method of frameworks obtaining is described. The adequacy concept of obtained estimations Lyapunov exponents is introduced. The adequacy criterion is based on the analysis of the structure definition domain. The domain which belongs to the set of Lyapunov exponents estimates is determined. The method proposed for the order estimation of the system. The method is based on the properties analysis of almost periodic to Bohr functions and proposed frameworks. The case when lineals for Lyapunov exponents are crossed is considered. WE obtain to an infinite spectrum of Lyapunov exponents. Upper bound for the smallest index and mobility limit for the large index are obtained and the index set of the system is determined. The graphics criteria based on the analysis of framework properties are proposed for the adequacy estimation of obtained indexes. The histogram method is applied to check of estimations set. It is shown that a dynamic system with periodic coefficients can have a set of Lyapunov exponents. The extension of almost periodic functions on Bohr is proposed to the problem solve of Lyapunov exponents evaluation. The system order estimation is obtained on the basis of the framework property analysis.

scholarly journals Polymorphic DNA fingerprinting patterns in distinct Chromobacterium violaceum strains using ERIC-PCR analysis

2009 ◽  
Vol 31 (73/75) ◽  
Author(s):  
Jane Eyre Gabriel ◽  
Érica da Silva Lopes ◽  
Eloise Pavão Guerra Slompo ◽  
Humberto Maciel França Madeira ◽  
Kárita Cláudia Freitas Lidani
Keyword(s):  
Clustering Analysis ◽  
Genetic Similarity ◽  
Repetitive Element ◽  
Gene Diversity ◽  
Chromobacterium Violaceum ◽  
Pcr Analysis ◽  
Bacterial Strains ◽  
Coeffi Cients ◽  
Pcr Products ◽  
Pcr Assays

In the present study, distinct Chromobacterium violaceum strains were genetically characterized from polymorphicDNA fi ngerprinting patterns. Such assays were performed in presence of primer ERICII,originally designed from enterobacterial intergenic repetitive element sequences. Clustering analysis ofthe ERIC-PCR products and genetic similarity phenogram were estimated by using the coeffi cient ofSorensen-Dice and the UPGMA algorithm in the NTSYS-pc computer program. Genotypic diversityand the Shannon gene diversity indexes among the bacterial strains were calculated using the populationgenetics package POPGENE. Four main groups including individuals belonged to specifi c strainswere defi ned by clustering analysis of ERIC-PCR products, in which similarity coeffi cients varied from0.57 to 1 The inter-strain genetic distance and identity calculations revealed that the largest distancewas observed between C. violaceum ATCC12472 and 07.1 strains (0.6414) and that the greatest identitybetween those identifi ed as C. violaceum ATCC12472 and CBM strains (0.7622), confi rming the patterngenerated in the similarity phenogram. Considering the accentuated reproducibility in amplifi cation reactions and the highly polymorphic DNA fi ngerprinting profi le observed for each bacterial strain,these fi ndings create real possibilities for the detection of C. violaceum strains in microbial mixed culturesthrough ERIC-PCR assays.

scholarly journals Performance of ANN in Predicting Internal Bonding of Cement Particleboard Manufactured from Giant Reed and Bagasse

2021 ◽  
Vol 72 (3) ◽  
pp. 255-271
Author(s):  
Morteza Nazerian ◽  
Hossin Assadolahpoor Nanaii ◽  
Elham Vatankhah ◽  
Mojtaba Koosha
Keyword(s):  
Cement Paste ◽  
Bonding Strength ◽  
Microstructural Analysis ◽  
Giant Reed ◽  
Hardened Cement ◽  
Data Sets ◽  
Internal Bonding ◽  
Cement Pastes ◽  
Coeffi Cients ◽  
Artificial Neural Network Ann

The present article investigates the microstructure of the cement matrices and the products of cement hydration by means of scanning electron microscopy, Fourier transform infrared spectroscopy and X-Ray diffraction. Then, the internal bonding strength (IB) is measured for the mixtures containing various amounts of nanosilica (NS), reed and bagasse particles. Finally, an Artificial Neural Network (ANN) is trained to reproduce these experimental results. The results show that the hardened cement paste including NS features the highest level of C-S-H. However, it has a lower level of C-S-H polymerization if reed or bagasse particles are applied. A relatively new dense microstructural degree is considered in the cement pastes containing NS, and a lower agglomeration is observed in the samples including reed or bagasse particles with NS. According to the microstructural analysis, the addition of NS to the samples containing reed or bagasse particles increases the unhydrated amount of C2S and C3S in the cement paste due to the decrease in the water needed for fully hydrated cement grains through portlandite (Ca(OH)2), C-S-H and ettringite increase. Besides, it is shown that the ANN prediction model is a useful, reliable and quite effective tool for modeling IB of cement-bonded particleboard (CBPB). It is indicated that the mean absolute percentage errors (MAPE) are 1.98 % and 1.45 % in the prediction of the IB values for the training and testing datasets, respectively. The determination coeffi cients (R2) of the training and testing data sets are 0.972 and 0.997 in the prediction of the bonding strength by ANN, respectively.

scholarly journals Spatial and temporal variation of extremely abundant maxima of precipitation in Hungary during the period between 1951 and 2010

2012 ◽  
Vol 18 (2) ◽  
Author(s):  
L. Lakatos ◽  
Z. Sümeghy ◽  
M. Soltész ◽  
J. Nyéki
Keyword(s):  
Extreme Values ◽  
Temporal Structure ◽  
Temporal Distribution ◽  
Point Of View ◽  
Spatial And Temporal Variation ◽  
Long Run ◽  
Coeffi Cients ◽  
Monthly Distribution ◽  
Geographical Maps ◽  
Short Time

The study deals with the accumulated database of 16 meteorological stations in Hungary during a period of 60 years. The purpose was to reveal the spatial and temporal structure of the appearance of extreme values in the daily distribution of data concerning precipitation. We strived to answer the question whether the frequency of incidences of daily maxima did they change or not during the 60 year-long period in the main growing regions of the country. It is demonstrated on geographical maps how the size and frequency of precipitation episodes ensued, and what are the typical traits of changes in intensity as well as in frequency of happenings projected according to their spatial and temporal distribution. From the point of view of fruit and vegetable growing, it is of prime interest what kind of frequency and intensity of changes occurred in precipitation. The temporal distribution of extremities though did not seem to change signifi cantly in some areas, but the recognition of changes may help conspicuously the planning and the choice between alternatives of species and varieties as well as technologies of horticultural managements for the long run. Extremely intense rains during a short time may cause erosion and stagnant water, thus we have to know what are the odds of risk. The temporary distribution of changes helps us to judge upon the reality of anxieties, which are expected according to the existence of trends. Seasonal or monthly distribution is visualised by maps, what is expected and what is accidental as for a decision in planning. The spatial distribution of coeffi cients of variation help us to decide what is the local chance of extreme happenings at different parts of the country and what is its coeffi cient of uncertainty. The risk of any undertaking dependent on conditions of weather could be expressed numerically by a coeffi cient of risk.

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