Correlation among Physico-Acoustic Properties of Boscia angustifolia and Albizia adianthifolia Wood

2020 ◽  
Vol 70 (4) ◽  
pp. 396-402
Author(s):  
Kayode Olaoye ◽  
Omolabake Okon-Akan ◽  
Olaoluwa Adegoke ◽  
A. O. Bobadoye
Keyword(s):  
Wood Species ◽  
Scientific Information ◽  
Predictor Variable ◽  
Sound Frequency ◽  
Acoustic Properties ◽  
Damping Factor ◽  
Velocity Of Sound ◽  
Tan Δ ◽  
Albizia Adianthifolia ◽  
The Relationship

Abstract Underutilization of some wood species can be largely attributed to a dearth of scientific information. Therefore, identifying the acoustic characteristics of lesser used wood species such as Boscia angustifolia and Albizia adianthifolia wood is expected to encourage their use in acoustic applications. Thus, studying their acoustic properties and the relationship among these properties will help reveal their use potential for acoustic purposes and also highlight possible predictor variable(s) for other acoustic parameters in wood acoustics. This study aimed at measuring the acoustic properties of B. angustifolia and A. adianthifolia wood and investigating the correlation among these properties. Three trees of each species were felled, and a total of 270 wood samples of 20 by 20 by 300 mm3 were collected. The samples were conditioned before acoustic measurement. The longitudinal free vibration method was adopted to measure the acoustic properties. Some of the mean acoustic results obtained for B. angustifolia and A. adianthifolia wood were 835.89 Hz, 3,657.51 m/s, 0.008, 13.59 GPa, 935.39 m4 kg−1 s−1, and 807.78 Hz, 3,542.66 m/s, 0.009, 12.65 GPa, 731.75 m4 kg−1 s−1, respectively, for fundamental sound frequency (FF), velocity of sound (V), damping factor (tan δ), specific dynamic modulus of elasticity (Es), and acoustic conversion efficiency (ACE). The correlation of FF with tan δ was negatively significant (−0.59), while it was positively significant with Es and ACE (0.99 and 0.74). This study found the two wood species suitable for making frame boards only and highlights sound frequency and velocity of sound as the major predicting acoustic variables for measuring good acoustic wood.

Identifying Physico-Chemical Laws from the Robotically Collected Data

2019 ◽  
Author(s):  
Liwei Cao ◽  
Danilo Russo ◽  
Vassilios S. Vassiliadis ◽  
Alexei Lapkin
Keyword(s):  
Experimental Data ◽  
Numerical Models ◽  
Predictor Variable ◽  
Physical Models ◽  
Training Data ◽  
Mixed Integer ◽  
Physico Chemical ◽  
Data Points ◽  
Future Work ◽  
The Relationship

<p>A mixed-integer nonlinear programming (MINLP) formulation for symbolic regression was proposed to identify physical models from noisy experimental data. The formulation was tested using numerical models and was found to be more efficient than the previous literature example with respect to the number of predictor variables and training data points. The globally optimal search was extended to identify physical models and to cope with noise in the experimental data predictor variable. The methodology was coupled with the collection of experimental data in an automated fashion, and was proven to be successful in identifying the correct physical models describing the relationship between the shear stress and shear rate for both Newtonian and non-Newtonian fluids, and simple kinetic laws of reactions. Future work will focus on addressing the limitations of the formulation presented in this work, by extending it to be able to address larger complex physical models.</p><p><br></p>

scholarly journals Sociometric types, behavioral categories and intellectual abilities in adolescents

2017 ◽  
Vol 7 (2) ◽  
pp. 69-85
Author(s):  
Cándido Inglés ◽  
David Aparisi ◽  
José García-Fernández ◽  
Juan Luis Castejón ◽  
María Martínez-Monteagudo
Keyword(s):  
Predictor Variable ◽  
Self Concept ◽  
Intellectual Abilities ◽  
Mental Abilities ◽  
Intellectual Skills ◽  
The Relationship

The aim of this study was to analyze the relationship between sociometric types, behavioral categories, and intellectual abilities in a sample of 1349 (51.7% boys) Spanish adolescents, ranging in age from 12 to 16 years. The students' sociometric nomination was performed by the Programa Socio and academic self-concept was measured by the Primary Mental Abilities Test (PMA; Thurstone, 1938; TEA, 1996). The hypotheses of the study suggest, firstly, that students positively nominated by their peers will present significantly higher scores on different scales of the PMA than students negatively nominated by their peers and, secondly, that intellectual skills will be a predictor variable statistically significant of sociometric types and behavioral categories. Results show that students nominated positively obtained significantly higher scores on the different intellectual abilities that nominees negatively. Intellectual abilities were a significant predictor of sociometric types because with increasing the score on the different intellectual abilities students were more likely to be nominated by their peers positively.

RELATIONS OF MOTOR ABILITY OF BALANCE AND SUCCESS OF PERFORMANCE OF GYMNASTICS ELEMENTS ON THE FLOOR EXERCISE

sportlogia ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. 34-43
Author(s):  
Saša Jovanović ◽  
◽  
Snežana Bijelić ◽  
Adriana Ljubojević ◽  
Dalibor Fulurija ◽  
...  
Keyword(s):  
Physical Education ◽  
Prediction Model ◽  
Motor Skills ◽  
Predictive Value ◽  
Predictor Variable ◽  
The Other ◽  
Motor Ability ◽  
Training Methodology ◽  
Balance Ability ◽  
The Relationship

The purpose of this study is to investigate the relationship between motor ability for balance and the performance of selected gymnastic elements on the floor in students aged 7-8 years, to provide an overview of the current motor status of the respondents at this age, and to develop suggestions for possible changes in the curriculum at this age, and to develop suggestions for supplementing training methodology. Training of selected gymnastics elements was conducted on a sample of 42 subjects who had no previous experience in performing gymnastics elements during regular physical education classes, and the predictor variable was tested using four tests assessing motor balance ability. The tests assessing motor balance ability showed a statistically significant predictive value for the performance of all three gymnastics exercises. It is noticeable that the value of the prediction model increased the more complex an item was derived, indicating the complexity of the motor balance space and the high and stable level of the same in the subjects at the time of testing. Regarding the tests used, it can be noted that the test FLAM was significantly involved in the prediction of performance success in all three gymnastic elements, while the other two tests showed their predictive value in the execution of the hand stand. On the other hand, the study shows that the gymnastic elements used should be used in physical education classes to contribute to the promotion and development of all motor skills of students and as part of the preparation for the execution of more complex elements on the floor and apparatus in higher grades.

scholarly journals PENGARUH KORUPSI, DEMOKRASI DAN POLITIK TERHADAP KEMISKINAN DI DELAPAN NEGARA ASEAN DENGAN PERTUMBUHAN EKONOMI SEBAGAI VARIABEL MODERASI

2019 ◽  
Vol 1 (3) ◽  
pp. 845
Author(s):  
Yolanda Yolanda
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Predictor Variable ◽  
Combination Method ◽  
Annual Reports ◽  
Series Data ◽  
Transparency International ◽  
Negative Effect ◽  
Asean Countries ◽  
The Relationship

This study aims the influence of corruption, democracy and politics on poverty in ASEAN countries with economic growth as a moderating variable. The method used is using the panel regression model. This data uses a combination method between time series data from 2013 - 2016 and a cross section consisting of 8 countries. Data obtained from World Bank annual reports, Transparency International and Freedom House. The results of this study indicate that (1) Corruption Perception Index (CPI) has a significant and negative effect on poverty, meaning that if the CPI increases then poverty will decrease (2) Democracy has no significant and negative effect on poverty. This means that if democracy increases, poverty will decrease (3) Politics has a significant and negative effect on poverty, meaning that if politics increases, poverty will decrease (4) Economic growth has a significant and positive effect on poverty, meaning if economic growth increases then poverty will decline (3) Economic growth unable to moderate the relationship between corruption, democracy and politics towards poverty in 8 ASEAN countries. Economic growth as an interaction variable is a predictor variable (Predictor Moderate Variable), which means that economic growth is only an independent variable.

scholarly journals The Relationship Between Corporate Governance Practices and Financial Performance: Evidence from Amman Stock Exchange

2021 ◽  
pp. 63-87
Author(s):  
Hussein Ahmad Bataineh ◽  
Sulaiman Salim Al Harthy ◽  
Raqiya Ali Al Balushi
Keyword(s):  
Corporate Governance ◽  
Financial Performance ◽  
Stock Exchange ◽  
Predictor Variable ◽  
P Value ◽  
Amman Stock Exchange ◽  
Governance Practices ◽  
Unit Increase ◽  
Beta Coefficient ◽  
The Relationship

The objective of the study was to establish the relationship between corporate governance Index and financial performance and evidence from Amman stock exchange. To achieve this objective, this study applied descriptive research structure. In this case, the research focused on the 181 firms listed at the Amman Stock Exchange (Appendix I). The statistical techniques that was applied to analyze collected data included descriptive statistics. The information analyzed revealed that the model summary indicated that the R² to be 0.243. This meant that 24.3% of the variation in performance (ROA) was due to the predictor variable captured in the study. This also implied that 75.7% of the variation in ROA was attributed to the measurements of error and other factors that could have had an effect on the ROA but were not captured in the study. The estimated model showed that ROA when other factors are held constant was 1.610. The outcomes also revealed that governance score had a beta coefficient of 0.573 indicating that for every unit increase in governance score on the ROA went up by 0.573. This relationship is significance since P-value of 0.025<0.05. Therefore, the model qualified as a good predictor. Keywords: Corporate Governance, Financial Performance, Amman stock Exchange.

scholarly journals Participatory communication as a key strategy in the construction of citizenship

2021 ◽  
Vol 5 (S1) ◽  
pp. 890-900
Author(s):  
Felipe Anderson Rios Incio ◽  
Enaidy Reynosa Navarro ◽  
Edith Gissela Rivera Arellano ◽  
Lindon Vela Meléndez
Keyword(s):  
Web Of Science ◽  
Scientific Information ◽  
Cultural Development ◽  
Scientific Journals ◽  
Participatory Communication ◽  
Social Actors ◽  
Constant Change ◽  
Study Results ◽  
Social Empowerment ◽  
The Relationship

This research set out to analyze the importance of participatory communication as a critical strategy in the construction of citizenship through an exhaustive review of the specialized literature; whose purpose was to update the knowledge related to citizenship and its structure, participatory communication and its contribution to the construction of citizenship, as well as updated approaches to participatory communication. The scientific information supporting the study results was fundamentally extracted from scientific journals indexed in Scopus, Web of Science, Scielo, Redalyc, and Dialnet. All citations and bibliographic references were managed using Mendeley. As preliminary results, it is found that participatory communication facilitates the integration and cohesion of the communities, based on joint projects, decision-making, participation, and actions that benefit citizens. It is concluded that citizenship is in constant change depending on the citizen; also, that it is essential to recover the relationship between citizenship and participation in pursuit of socio-cultural development; likewise, that community participation must be legitimate, holistic, and inclusive; also, that the contribution of communication lies in the dynamization of social actors; finally, that participatory communication approaches make it possible to dynamize the determining social behaviors to achieve social empowerment.

scholarly journals Towards functional modelling of relationships between the acoustics and perception of vowels

2005 ◽  
Vol 40 ◽  
pp. 133-144
Author(s):  
Hartmut R. Pfitzinger
Keyword(s):  
Steady State ◽  
Sufficient Accuracy ◽  
Acoustic Properties ◽  
Vowel Quality ◽  
Model Based ◽  
Functional Modelling ◽  
The Relationship ◽  
Vowel Height

This paper summarizes our research efforts in functional modelling of the relationship between the acoustic properties of vowels and perceived vowel quality. Our model is trained on 164 short steady-state stimuli. We measured F1, F2, and additionally F0 since the effect of F0 on perceptual vowel height is evident. 40 phonetically skilled subjects judged vowel quality using the Cardinal Vowel diagram. The main focus is on refining the model and describing its transformation properties between the F1/F2 formant chart and the Cardinal Vowel diagram. An evaluation of the model based on 48 additional vowels showed the generalizability of the model and confirmed that it predicts perceived vowel quality with sufficient accuracy.  

Intellectual capital in Ugandan service firms as mediator of board governance and firm performance

2014 ◽  
Vol 5 (3) ◽  
pp. 300-340 ◽  
Author(s):  
Stephen Korutaro Nkundabanyanga ◽  
Joseph M. Ntayi ◽  
Augustine Ahiauzu ◽  
Samuel K. Sejjaaka
Keyword(s):  
Firm Performance ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Predictor Variable ◽  
Mediating Effect ◽  
Board Governance ◽  
Content Type ◽  
Firm Financial Performance ◽  
Starting Point ◽  
The Relationship

Purpose – The purpose of this paper is to examine the mediating effect of intellectual capital on the relationship between board governance and perceived firm financial performance. Design/methodology/approach – This study was cross-sectional. Analyses were by SPSS and Analysis of Moment Structure on a sample of 128 firms. Findings – The mediated model provides support for the hypothesis that intellectual capital mediates the relationship between board governance and perceived firm performance. while the direct relationship between board governance and firm financial performance without the mediation effect of intellectual capital was found to be significant, this relationship becomes insignificant when mediation of intellectual capital is allowed. Thus, the entire effect does not only go through the main hypothesised predictor variable (board governance) but majorly also, through intellectual capital. Accordingly, the connection between board governance and firm financial performance is very much weakened by the presence of intellectual capital in the model – confirming that the presence of intellectual capital significantly acts as a conduit in the association between board governance and firm financial performance. Overall, 36 per cent of the variance in perceived firm performance is explained. the error variance being 64 per cent of perceived firm performance itself. Research limitations/implications – The authors surveyed directors or managers of firms and although the influence of common methods variance was minimal, the non-existence of common methods bias could not be guaranteed. Although the constructs have been defined as precisely as possible by drawing upon relevant literature and theory, the measurements used may not perfectly represent all the dimensions. For example board governance concept (used here as a behavioural concept) is very much in its infancy just as intellectual capital is. Similarly the authors have employed perceived firm financial performance as proxy for firm financial performance. The implication is that the constructs used/developed can realistically only be proxies for an underlying latent phenomenon that itself is not fully measureable. Practical implications – In considering the behavioural constructs of the board, a new integrative framework for board effectiveness is much needed as a starting point, followed by examining intellectual capital in firms whose mediating effect should formally be accounted for in the board governance – financial performance equation. Originality/value – Results add to the conceptual improvement in board governance studies and lend considerable support for the behavioural perspective in the study of boards and their firm performance improvement potential. Using qualitative factors for intellectual capital to predict the perceived firm financial performance, this study offers a unique dimension in understanding the causes of poor financial performance. It is always a sign of a maturing discipline (like corporate governance) to examine the role of a third variable in the relationship so as to make meaningful conclusions.

EVALUATION OF CITATION TRENDS BY ANALYSING PAPERS OF AN ISSUE OF THE JOURNAL SCIENTOMETRICS

2021 ◽  
pp. 91-104
Author(s):  
Sergei Egerev ◽  
Keyword(s):  
Subject Matter ◽  
Significant Variation ◽  
Scientific Information ◽  
Gender Issues ◽  
Research Papers ◽  
Middle Group ◽  
Publishing Policy ◽  
The Subject ◽  
The Relationship

The citation indicators of the research papers, published in a random issue of the journal Scientometrics , are analyzed. These papers, published at the same date, can be correctly ranked according to the citations accumulated by May 1, 2021. A significant variation in the citation of the papers was found. The article analyzes both the subject matter and structure of the leading papers, papers from the middle group, as well as papers from the outsider group. It is shown that the largest citation values are achieved by the papers dealing with gender issues in science, the development of methods for processing large amounts of scientific information, as well as issues of publication and publishing policy. The relationship between citation and demand for articles is investigated.

Application of Machine Learning in Predicting Crude Oil Production Volume

2021 ◽  
Author(s):  
Okechukwu Prince Innocent
Keyword(s):  
Machine Learning ◽  
Crude Oil ◽  
Predictor Variable ◽  
Oil Production ◽  
Water Volume ◽  
Production Volume ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Crude Oil Production ◽  
The Relationship

Abstract The production of oil is of great and immense significance as a source of energy worldwide. The major factors affecting the production volume of oil is classified into two groups namely the geological and the human factor. Each group comprises of factors affecting oilfield production volume. The challenge in this project is to find the variable for the crude oil production volume in an oilfield because there are numerous factors affecting the crude oil production volume in an oilfield. The objective of this paper is to provide a more accurate and efficient solution on how to predict the oil production volume. Furthermore, Machine Learning algorithm called Multiple Linear Regression was developed using Python programming Language to predict the production volume of oil in an oilfield. The model was developed and fitted to train and test the factors that affect and influence the oil production volume. After a several studies have been made, the affecting factors were provided from the oilfield which would be trained and tested in order to model the relationship between predictor variable and response variable which are the significant affecting factors and the oil production volume respectively. The predictor variables are the startup number of wells, the recovery percent of previous year, the injected water volume of previous year and the oil moisture content of previous year. The predictor variable is the oil production volume. Moreover, the model was found to possess greater utility in predicting the production volume of oil as it yielded an oil production volume output with an accuracy of 98 percent. The relationship between oil production volume and the affecting factors was observed and drawn to a perfect conclusion. This model can be of immense value in the oil and gas industry if implemented because of its ability to predict oilfield output more accurately. It is an invaluable and very efficient model for the oilfield manager and oil production manager.

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