bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Convergence of The Systems of Education at Scottish and Ukrainian Universities in the Context of Ethic Leadership
Authors: Zagirniak Denys , Khovrak Inna , Perevozniuk Viktoriia 
Published: April 2019

The globalization of educational space shows that university education should meet the needs of society based on the ethical principles of interaction between participants of educational process and use innovative teaching methods. Therefore the purpose of the study is to substantiate the importance of convergence of systems of education at Scottish and Ukrainian universities in order to provide ethical leadership in the field of education. A systematic approach to the realization of the purpose of the study allowed solving the main tasks: systematization of the strengths of Scottish education, justification of the impact of university social responsibility on providing ethical leadership in education, comparing the main indicators of the process of providing educational services in Scotland and Ukraine.As a result, it is established that the synergetic effect from the application of the concept of ethical leadership is achieved as a result of the interaction of all participants in the educational process, namely: the state (awareness and realization of the social mission to develop the potential of youth); universities (development of educational programs taking into account the needs of modern society and the use of teaching methods capable of forming the necessary competences for future specialists); students (interest in obtaining quality education).Â Â
Marketing Research as a Way to Increase Competitiveness of Railway Company and Forecasting of Demand for Transport
Authors: Yanovska Viktoriia , Pylypenko Olena , Tvoronovych Viktoriia , Bozhok Anastasiia 
Published: April 2019

Justification of management decisions for railway companies, under the conditions of the transport market liberalization, requires the search and collection of reliable information which is related with both the internal and external environment. Alongside, the need to provide competitiveness of the railways involves marketing research. The main objective of this paper is to determine the specific features of applying marketing tools for promotion of competitiveness and formation of the railway companyâ€™s strategy. The dynamics of passenger traffic reflects the competitiveness of types of transport in terms of the ability to provide transport services for a better ratio of â€œprice / qualityâ€. The performed researches confirm the presence of opposite tendencies in the long-distance and suburban connections, as well as specific factors of elasticity of demand for passenger transportation at a price. It is established that for the population (the consumer of transport services) the rate of tariffs for transportation is the determining factor of the attractiveness of the carrier in suburban transportation, and therefore it is the factor of its competitiveness, while the rate of tariffs is not the most significant factor in choosing a carrier in long distance transportation. There are subjective technical parameters of competitiveness which do not fit into the â€œprice / qualityâ€ system among the factors of choosing a carrier. During the choice of transportation, the consumer is guided by his own system of values which is not universal and leaves each transport company its â€œnicheâ€ for operation in the market as well as the opportunity to win its â€œownâ€ consumer. Models of forecasting demand for passenger long-distance and suburban transportation by railway and automobile transport are proposed on the basis of forecast of macrofactors. The using of these models will allow railway and automobile companies to form their development strategies.Â Â
Managerial Decision Support Making in Economic Systems Based on Cognitive Modeling
Authors: Filipkovska L. , Matviienko O. 
Published: April 2019

The research is devoted to the search for the technologies to support managerial decisions in the transport industry economic systems. The problems of the complex economic systems modelling have been identified. Cognitive modelling is considered as a tool of supporting intelligent decision making in economic systems. The modelling is based on methods of pattern recognition theory. The results of the scientific research are presented with structural-analytical models of decision support systems. Such models represent the knowledge processing to formulate recommendations for making managerial decisions. Knowledge based on the experience of managing a production situation should be stored in the knowledge base of the information decision making support system. Cognitive modeling will make it possible to study the problems that arise in unstable, weakly structured dynamic economic systems, taking into account changes of the external environment and the object of management itself, systematizing and verifying the expert's perception of the management object and its external environment, forecasting the values of economic system factors and generating optimal management strategies.Â Â
Assessment of the Transport Complex in Providing Economic Spatial Development of the Territories
Authors: Rodchenko V. , PrusSvidenska Yu. , Svidenska M. , Khripunova D. 
Published: April 2019

The role of the transport component in ensuring economic development processes of the territories was considered. Works of many scientists were analyzed, systematized and generalized, it was discovered that the key task of forming a single economic space in Ukraine is to overcome inter-territorial differentiation, spatial integration of territories, which provides the maximum intensive interaction of business entities of certain territories through all possible channels of communication. One of the key factors in such integration is transport. The peculiarities and main tendencies of the transport network development in Ukraine were highlighted. The results the qualitative indicators of socio-economic development of Kharkiv region territorial communities study, was confirmed by the hypothesis that the transport factor directly influences the quality of the population life of a certain territory, significantly increasing the level of social inclusion of its population. The results of the residents’ survey in terms of assessing the quality of life in the community and perceiving their inclusion in community development processes, taking into account the results of the groupings and organization, are representative for all communities of the state. The proposed approach of territorial communities clustering is based on four main indicators: population size, length of roads, area and revenues of the community budget, as well as the share of community territories in the total area of the district. Two-parameter graphs were illustrated to generalize the characteristics of the communities distribution, which provide an ordered cumulative visualization based on the main indicators.
Design of a storage mechanism designed for a railway vehicles producer
Authors: Blatnický Miroslav , Dižo Ján , Falendysh Anatoliy 
Published: April 2019

In this article the engineering design and strength analyses of a storage mechanism are presented. The handling device is intended to be placed in a warehouse and it will serve as a storage mechanism for longer metallurgical material in a railway vehicle manufacturing company. Stored material will be used for creation of some parts of railway wagons. It will allow to storage material in several levels in shelves. To meet requirements for manual control of the pull-out mechanism it will be necessary to design a pull-out mechanism with the sufficiently large transmission ratio in order to handle a shelf block weighing up to given load. Consequently, there are conducted the numeric strength analysis of steel construction which has to safely carry the total load of ten shelves.
Identifying the Ideal Number Components of the Bayesian Principal Component Analysis Model for Missing Daily Precipitation Data Treatment
Authors: Chuan Zun Liang , Senawi Azlyna , Yusoff Wan Nur Syahidah Wan , Ismail Noriszura , Ken Tan Lit , Chuan Mu Wen 
Published: April 2019

The grassroots of the presence of missing precipitation data are due to the malfunction of instruments, error of recording and meteorological extremes. Consequently, an effective imputation algorithm is indeed much needed to provide a high quality complete time series in assessing the risk of occurrence of extreme precipitation tragedy. In order to overcome this issue, this study desired to investigate the effectiveness of various Q-components of the Bayesian Principal Component Analysis model associates with Variational Bayes algorithm (BPCAQ-VB) in missing daily precipitation data treatment, which the ideal number of Q-components is identified by using The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm. The effectiveness of BPCAQ-VB algorithm in missing daily precipitation data treatment is evaluated by using four distinct precipitation time series, including two monitoring stations located in inland and coastal regions of Kuantan district, respectively. The analysis results rendered the BPCA5-VB is superior in missing daily precipitation data treatment for the coastal region time series compared to the single imputation algorithms proposed in previous studies. Contrarily, the single imputation algorithm is superior in missing daily precipitation data treatment for an inland region time series rather than the BPCAQ-VB algorithm. Â Â
Empirical Bayesian Binary Classification Forests Using Bootstrap Prior
Authors: Olaniran Oyebayo Ridwan , Abdullah Mohd Asrul Affendi Bin , Pillay Khuneswari A P Gopal , Olaniran Saidat Fehintola 
Published: April 2019

In this paper, we present a new method called Empirical Bayesian Random Forest (EBRF) for binary classification problem. The prior ingredient for the method was obtained using the bootstrap prior technique. EBRF addresses explicitly low accuracy problem in Random Forest (RF) classifier when the number of relevant input variables is relatively lower compared to the total number of input variables. The improvement was achieved by replacing the arbitrary subsample variable size with empirical Bayesian estimate. Â An illustration of the proposed, and existing methods was performed using five high-dimensional microarray datasets that emanated from colon, breast, lymphoma and Central Nervous System (CNS) cancer tumours. Results from the data analysis revealed that EBRF provides reasonably higher accuracy, sensitivity, specificity and Area Under Receiver Operating Characteristics Curve (AUC) than RF in most of the datasets used.
Forecasting Electricity Consumption Using Time Series Model
Authors: Lee Y.W. , Tay K.G. , Choy Y.Y. 
Published: April 2019

Electricity demand forecasting is important for planning and facility expansion in the electricity sector.Â Accurate forecasts can save operating and maintenance costs, increased the reliability of power supply and delivery system, and correct decisions for future development. Â Universiti Tun Hussein Onn Malaysia (UTHM) which is a developing university in Malaysia has been growing since its formation in 1993. Â Thus, it is important for UTHM to forecast the electricity consumption in future so that the future development can be determined.Â Hence, UTHM electricity consumption was forecasted by using the simple moving average (SMA), weighted moving average (WMA), simple exponential smoothing (SES), Holt linear trend (HL), Holt-Winters (HW) and centered moving average (CMA). Â The monthly electricity consumption from January 2011 to December 2017 was used to forecast January to December 2018 monthly electricity consumption. Â HW gives the smallest mean absolute error (MAE) and mean absolute percentage error (MAPE), while CMA produces the lowest mean square error (MSE) and root mean square error (RMSE). Â As there is a decreasing population of UTHM after the moving of four faculties to Pagoh and HW forecasted trend is decreasing whereas CMA is increasing, hence HW might forecast better in this problem.
Optical Absorption of Plasmonic Cylindrical Gold Nanoparticle in Hexagonal Geometry
Authors: Nasar Norasikin M , Kahar Rosmila Abdul- , Hamzah Nor Shamsidah Amir , Esa Fahmiruddin 
Published: April 2019

A high quality solar cell depends on how good the design of the solar cell can absorb light.Â In this study, cylindrical gold nanoparticles were embedded into indium tin oxide (ITO) layer and silicon layer arranged in hexagonal geometry on plasmonic solar cell simulation design. The aim is to investigate the optical absorption percentage in terms of wavelength and angle of incidence for the solar cell design. The numerical results showed that the highest absorption has occurred in 480 nm in the range of visible spectrum. In this wavelength, the highest absorption occurred at the incidence angle of 48 degree.
Probing Dynamic Mechanical Analysis and Atomic Force Microscopy of Polypropylene/Kaolin Nanocomposite
Authors: Zago Dagaci Muhammad , Jika Suzi Salwah Binti , Badarulzaman Nur Azam Bin , Ruslan Nurun Najwa Binti , Nuhu Awwal Hussain , Bano Nazia 
Published: April 2019

The Dynamic mechanical analysis (DMA) and Atomic force microscopy (AFM) studies were conducted and evaluated on polypropylene/kaolin (P/K) nanocomposite treated with maleic anhydride (MA) and dicumyl peroxide (DCP) as additives in an in- situ process. Two-roll mill was used in compounding of the nanocomposites while moulding were done by injection moulding machine. Investigation in to the effect of K and MA/DCP on the nanocomposites (NCs) indicates that interfacial interactions between PP and K as filler was eminent. DMA analysis reveals an increase in the storage modulus which was at maximum significantly in P/K NC with 3 wt% and decrease in damping factor tan δ also at P/K NC of 3 wt%. The AFM study indicates that there was uniform and smooth surface roughness among the NCs. Thus, addition of MA/DCP on to P/K NC improves the reinforcing influence on the nanocomposites for better improvement.
A Correlational Analysis of Social Factors with Obesity among Malay Obese People
Authors: Ullah Saif , Abdul Ghani Norizan , Ameen Baig Atif 
Published: April 2019

This study examines the correlation between social factors and obesity among Malay obese people (age: 20-59 years old) in Terengganu, Malaysia. Comprised of cross-sectional research design, this study has been applied a convenience sampling technique. Clinical Practice Guidelines on Management of Obesity (2004) criteria was adopted < 27.49kg/m2 to measure the body mass index. The number of participants were included in this study n = 150 (male = 80 & females = 70). Data is collected by using close-ended self-administrated questionnaire. SPSS version 21.0 was used for the data analysis. The results reveals that obesity is significantly correlated with feelings (low self-esteem), body image dissatisfaction, eating and dieting frequency (eating habits), frequency of exercise (physical inactivity), physical activity barriers, and media influence. Moreover, obesity has found insignificant with health knowledge, religious knowledge, religious practices and their relation with obesity. It is a pioneer study that has assessed the correlation of social factors and obesity among Malay obese adults in Terengganu, Malaysia. This study reports that majority of the social factors are significantly correlated with obesity. Therefore, interventional programs should be arranged by government based on the social factors in order to decrease the level of obesity in Terengganu, Malaysia.Â Â
Consumer Awareness Towards Rainwater Harvesting System in Selangor, Malaysia
Authors: M. Aminuddin Normadihah , Afgani @ Eusoff Yendo , Adeena Raslee Nor , Puad Mat Som Ahmad 
Published: April 2019

Reusing water and implementing rainwater-harvesting system are an effective way to reduce the usage of treated water at home. A study on consumerâ€™s awareness towards Rainwater Harvesting System (RWHS) in urban areas of Malaysia is less explored among researchers. This study was to identify the level of consumerâ€™s awareness on RWHS among domestic water users in Gombak District, Selangor. Quantitative approaches were applied through individual distribution of structured questionnaires to 397 domestic water users in the study area from December 2016 to February 2017. The data was analyzed using SPSS version 21. Based on the results of quantitative analysis, four major constructs emerged namely â€˜the advantages of RWHSâ€™, â€˜alternative water sourcesâ€™, â€˜consumersâ€™ concernâ€™ and â€˜consumersâ€™ willingnessâ€™. The total mean scores (total average score) for each construct in ascending order are 3.48 for consumers' readiness, 3.81 for advantages of RWHS, 3.98 for alternative source, and 4.09 for consumers' concern. The findings provide important contribution to water conservation practices in the country as RWHS is considered greener, more efficient, more self-reliant with sound technology.Â Â
A Sociocultural Theory to Learning: Malaysiaâ€™s Experience
Authors: Abu Bakar Norsuhaily , Puad Mat Som Ahmad 
Published: April 2019

The study explores and analyses some of the challenges inherent to incorporating play into classroom practice, which occurs in two types of preschool classroom settings in Malaysia. It investigates the implementation of play in each of these settings. This study builds an understanding of the processes involved. It demonstrates a theory of learning that supports analysis of participation in social activity where participants work towards social goals within a view of learning being based on a cultural and collective foundation. The discussion is designed to convince the reader the value of the underpinning theory for this study and to explain the interpretive lens on learning through play that emerges. The approach recognizes that this interpretive lens offers a particular way of guiding the data collection and interpreting the data. In developing a conceptual framework for this study, it provides not only a way to interpret what is learning through play, but also to report the research findings within a sociocultural frame.Â Â Â
A Measurement Model for River Conservation Behavior Using Confirmatory Factor Analysis (CFA)
Authors: Nor Azilawanie Tun Ismail Wan , Amin Aziz 
Published: April 2019

River conservation represents important environmental behavior for a sustainable environment. This research is to measure the validity and reliability of the instrument for measuring river conservation behavior model. The research instrument was administered to 373 respondents who were selected trough cluster sampling in 10 polluted rivers in the Terengganu state, Malaysia. Confirmatory Factor Analysis (CFA) was used to validate the measurement model for items in the behavioral instrument. The findings of the study have dropped 36 items and retained 48 valid and reliable items to measure eleven constructs that affected the residentâ€™s behavior. These behavioral instruments can be used to obtain a community profile as an indicator to improve the behavior of the residents towards river conservation.Â Â
Assessment on Regional Flood Risk Trend in Northern Region of Malaysia: Case Study in Muda River Basin, Kedah
Authors: Abd Halim Marhanisa , Shakir Mohd Saudi Ahmad , Khairul Amri Kamarudin Mohd , Mahmud Muaz , Bala Krishnan Arvind , Nizam Mohd Isa Khairul 
Published: April 2019

Flood is a major issue during monsoon season in Northern region of Malaysia especially in Muda River Basin. This study focused on the specific hydrology parameters that lead to the flood events in Muda River Basin, Kedah. There were 4 hydrologic parameters for thirty years of collected data from selected hydrology monitoring stations provided by Department of Irrigations and Drainage, Malaysia. The study applied Principal Component Analysis (PCA) and result shown that stream flow and suspended solid stand with highest correlation of coefficient variables with the changes of water level in the study area. Statistical Process Control (SPC) applied in this study was to determine the control limit for every selected parameter obtained from PCA. The Upper Control Limit value for water level reported from SPC analysis in the study area was 7.568m and starting from this level and above, the risk of flood is high to occur in the study area. This research proved that the flood risk model created in this study was accurate and flexible for flood early warning system at Muda River Basin.Â Â
The Impact of Smartphone Adoption on Marketing Therapeutic Tourist Sites in Jordan
Authors: Alghizzawi Mahmoud , Abd. Ghani Mazuri , Puad Mat Som Ahmad , Fazil Ahmad Muhamad , Amin Aziz , Abu Bakar Norsuhaily , A. Salloum Said , Habes Mohammed 
Published: April 2019

The aim of the study is to find out the effect of smartphone on marketing therapeutic tourist sites in Jordan. Several factors contribute to this study, including market type templates, therapeutic, demographic and their impact on tourist behavior in Jordan. We apply the technology acceptance (TAM) model to study through the incorporation of smartphone applications on marketing therapeutic tourist sites in Jordan. To achieve this, we use the quantitative research design and rely on appropriate data to test the hypothesis. We distributed questionnaire to 400 tourists as a sample of study but two hundred and four were collected. The researchers had used the structural equation modeling (PLS-SEM) for measuring relationships and correlations between variables and their impact on the behavior of tourists in Jordan. According to the study findings, there was a positive impact on market type template, therapeutic, and demographics on tourists' perceived ease of use of smartphone on marketing therapeutic tourist sites in the country. Perceived usefulness and perceived ease of use also led to an increase in tourists' intention to use smartphone.Â Â
Examining Certification Values of Certified Employees in Indonesiaâ€™s Tourism Industry
Authors: Marannu Eppang Buntu , Puad Mat Som Ahmad 
Published: April 2019

The study of values of certification is lacking in the tourism industry. This study is an exploratory study based on the perception of tourism workforce in tourism industry in Indonesia as a developing country. Initially, a descriptive analysis was used to provide professional's viewpoints about values of certification. Later a confirmatory factor analysis was employed to explore parameters which construct values of certification in the tourism industry. The result of the study shows that parameters of intrinsic values dominate the construct of values of certification. This finding implies that the implementation of values of certification is beyond the expectation and there is a need to enforce regulations related to values of certification in developing country.Â Â
Organizational Justice from the Perspective of Potential Applicants
Authors: Anip Bustaman1 Hasnun , Malek A. Tambi Abdul 
Published: April 2019

This paper reviews the recent advancement of organizational justice influencing the people from outside organizations, which has been gaining keen attention from scholars lately. Precisely, this paper aims to construe organizational justice with a greater emphasis on the potential applicant attraction. The discussion involved the elementary of four justices encompassing procedural justice, distributive justice, interpersonal justice and informational justice in the eye of potential applicant. Finally, this paper enlarged the conceptuality of study by providing some arguments of appropriate methodology for empirical testing.Â Â