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Emerging Science Journal
Published by Ital Publication
ISSN : 26109182     EISSN : -     DOI : -
Core Subject : Social,
Environmental Science
Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.
Arjuna Subject : -
Articles 874 Documents
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The Uncertainty Index and Foreign Direct Real Estate Investments in Developing Economies Haydar Karadag
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01293

Abstract

Attainment of standards in a country’s real estate market to meet international investors’ expectations contributes significantly to the real estate sector. However, in developing economies characterized by an environment of uncertainty where stability cannot be achieved, direct investments in real estate can bring returns to foreign investors. This is because economic uncertainty in developing countries raises the exchange rate. An increase in the exchange rate keeps real estate prices in developing countries relatively low. Foreign investors then take advantage of the low prices to invest in real estate in that country. The study aims to research whether the uncertainty in developing countries increases the foreign direct real estate investments. The study examines the relationship between the uncertainties in selected developing economies in Europe and the real estate investments by foreigners in the period 2008–2018. Gengenbach, Urbain, and Westerlund Panel Cointegration test and PDOLS coefficient estimation methods were used in the study. According to the analysis results, a 1% increase in the uncertainty index in the economies examined increases foreign direct investments by 5.731%. Since this study is one of the most detailed studies measuring foreign direct real estate investments under uncertainty conditions in the economy, it contributes to the literature. To sustainably increase foreigners’ direct real estate investments in developing countries, economic and political stability should be prioritized. Facilitating the bureaucratic process, providing tax reductions, making real estate suitable for demand, following the appropriate price policy, and making various environmental regulations will also increase foreigners’ direct real estate investments. Doi: 10.28991/esj-2021-01293 Full Text: PDF
Use of TRIZ, and TRIZ with Other Tools for Process Improvement: A Literature Review Vladimír Sojka; Petr Lepšík
Emerging Science Journal Vol 4, No 5 (2020): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2020-01234

Abstract

Paper reviewing the use of TRIZ tools and methods in combination with other tools for better manufacturing and production processes improvement. A weakness of the current state of process improvement is mainly solving problems by trivial tools as Brainstorming, which leads to not ideal resolutions to problems in the process. This could be improved by the use of TRIZ. A literature review was used for examination of the current state and history of the use of TRIZ principles in a field of production processes. The review is chronologically structured and focuses on attempts to use TRIZ itself or in combination with other tools with a goal improvement of processes or activities related to the process. The research begins before the year 2000 and it ends by the year 2019. The use of TRIZ for process improvement was described by many authors, and many approaches were tried. From the results, it is seen that TRIZ methods should be beneficial for use in practice. Unfortunately, found solutions are either too complex or without specific descriptions. That could be a cause of why the implementation of TRIZ tools is not spread. Results of review lead to a need for a new, more user-friendly approach based on TRIZ principles for use by engineers in real practice.
Explanatory Factors of the Capital Structure Marta Silva; Luís Pereira Gomes; Isabel Cristina Lopes
Emerging Science Journal Vol 4, No 6 (2020): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2020-01249

Abstract

This paper presents an empirical study of the capital structure of Portuguese companies where the main objective is to find key explanatory factors for indebtedness decisions. The relations between indebtedness and its determinants are tested in the light of the Trade-Off Theory and the Pecking-Order Theory. The motivation of this work was to contribute to the scientific research on the influential determinants of the capital structure and to deepen the knowledge of the Portuguese market. The quantitative methodology is used, through an econometric model for panel data using accounting information of 55 Portuguese companies between 2014 and 2016. Statistical tests such as the F test, the Lagrange Multiplier Breusch-Pagan test and the Hausman test were used to identify the most appropriate method of estimation, which resulted in a panel data model with random effects for individuals. The findings of this study suggest that indebtedness have a positive relation with tangibility and the size of the company, which supports the Trade-Off Theory. However, the positive relationship with the non-debt tax benefits suggests the importance of taxes, contrary to Trade-Off Theory. The negative relationship with cash flows, coupled with the positive relationships between size and growth opportunities, suggest the use of funding only when internal funds become insufficient, supporting the Pecking-Order Theory. The general results support that both theories partially explain the financing decisions of Portuguese companies. Doi: 10.28991/esj-2020-01249 Full Text: PDF
Effect of Addition of Alccofine on the Compressive Strength of Cement Mortar Cubes Balamuralikrishnan R.; Saravanan J.
Emerging Science Journal Vol 5, No 2 (2021): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01265

Abstract

In the modern era, many research works are going on throughout the world for finding suitable cementitious material for the replacement of cement since it causes environmental pollution. In this order Fly ash, Silica fume, GGBS, Metakaolin, Micro materials, Quartz powder, etc. are tried out for replacing partially or fully the cement in concrete. A new ultrafine material called Alccofine (AF) which is manufactured from glass wastes is tried out for replacing partially in this research. Compressive strength is one of the important properties of cement. Strength tests are not made on neat cement paste because of difficulties of excessive shrinkage and subsequent cracking of neat cement. Cement mortar of 1:3 mix proportion is used to cast the cubes having an area of 50 cm2 are used for the determination of compressive strength of cement as per IS: 4031-1988 (Part-6). The graded Indian Standard sand (Ennore Sand -ES) confirming to IS: 650-1991 is used for preparing the cubes. In the same mix proportion, the same size cubes are cast with the River Sand (RS) to study the difference of the compressive strength between the Indian standard sand and river sand. Ordinary Portland cement (OPC) and Portland Pozzolana Cements (PPC) are used. The present study is the influence of Alccofine on cement mortar cubes by replacing the cement by Alccofine with various proportions like 5%, 10%, 15%, 20% were cast and tested in the laboratory as per Indian Standard 4301-1988 (Part-6) and the results were analysed and presented in the form of charts and graphs. It is observed that the early age strength is obtained for all the combinations but 10 percent of Alccofine yields more strength than other dosages. Doi: 10.28991/esj-2021-01265 Full Text: PDF
A Comparative Study of Bluetooth SPP, PAN and GOEP for Efficient Exchange of Healthcare Data Athanasios Kiourtis; Argyro Mavrogiorgou; Dimosthenis Kyriazis
Emerging Science Journal Vol 5, No 3 (2021): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01276

Abstract

Objectives: Current research aims to address the challenges of exchanging healthcare information, since when this information has to be shared, this happens by specifically designed medical applications or even by the patients themselves. Among the problems that the Health Information Exchange (HIE) initiative is facing are that (i) third party health data cannot be accessed without internet, (ii) there exist crucial delays in accessing citizens’ data, (iii) the direct HIE can only happen among Healthcare Institutions. Methods: Towards the solution of these issues, a Device-to-Device (D2D) protocol has been specified, running on top of the Bluetooth protocol for efficient data exchange. This research is focused on this D2D protocol, by comparing the different Bluetooth profiles that can be used for transmitting this data, based on specific metrics considering the probabilities of transferring erroneous data. Findings: An evaluation of three Bluetooth profiles takes place, concluding that two of the three profiles must be used to respect the D2D protocol nature and be fully supported by the main market vendors’ operating systems. Novelty:Based on this evaluation, the specified D2D protocol has been built on top of state-of-the-art short-range distance communication technologies, fully supporting the healthcare ecosystem towards the HIE paradigm. Doi: 10.28991/esj-2021-01276 Full Text: PDF
Confidence Intervals for the Coefficient of Quartile Variation of a Zero-inflated Lognormal Distribution Noppadon Yosboonruang; Sa-Aat Niwitpong
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01289

Abstract

There are many types of skewed distribution, one of which is the lognormal distribution that is positively skewed and may contain true zero values. The coefficient of quartile variation is a statistical tool used to measure the dispersion of skewed and kurtosis data. The purpose of this study is to establish confidence and credible intervals for the coefficient of quartile variation of a zero-inflated lognormal distribution. The proposed approaches are based on the concepts of the fiducial generalized confidence interval, and the Bayesian method. Coverage probabilities and expected lengths were used to evaluate the performance of the proposed approaches via Monte Carlo simulation. The results of the simulation studies show that the fiducial generalized confidence interval and the Bayesian based on uniform and normal inverse Chi-squared priors were appropriate in terms of the coverage probability and expected length, while the Bayesian approach based on Jeffreys' rule prior can be used as alternatives. In addition, real data based on the red cod density from a trawl survey in New Zealand is used to illustrate the performances of the proposed approaches. Doi: 10.28991/esj-2021-01289 Full Text: PDF
RETRACTED: Conceptualizing Post-COVID-19 Malaysia’s Tourism Recovery: An Auto-Regressive Neural Network Analysis Anantha Raj A. Arokiasamy; Philip Michael Ross Smith; Thanapat Kijbumrung
Emerging Science Journal Vol 5 (2021): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SPER-10

Abstract

This article has been retracted: please see Emerging Science Journal policies:(https://ijournalse.org/index.php/ESJ/about/editorialPolicies).Reason: The present article has been retracted at the request of the Research Ethics, Integrity, and Governance team at RMIT University, Australia. Following a research integrity investigation into multiple allegations against former staff member Dr. Alex Arokiasamy, it was found, on the balance of probabilities, that Dr. Arokiasamy breached the Australian Code and/or RMIT Policy by: 1) assigning authorship to individuals who did not make a significant intellectual or scholarly contribution, and 2) publishing a paper with a 40% similarity to other publications.
Assessing the Impact of COVID-19 on Corporate Investment Behavior Umar Farooq; Mosab I. Tabash; Suhaib Anagreh; Mohammed Alnahhal
Emerging Science Journal Vol 5 (2021): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SPER-11

Abstract

The current wave of COVID-19 outbreak has created new strategical challenges for policy officials of the industrial sector across the world. The effect of COVID-19 is more in developing economies where industrial sector is already struggling for its stability. This study introduces the impact of COVID-19 on the corporate investment behavior of non-financial publicly listed firms of Pakistan. To achieve the objective, we employ the panel data ranging from 2010 to 2020 and apply the difference-in-differences (DID) model to quantifies the empirical relationship. The outcomes of DID model suggest that the pandemic period and treatment have a significant and negative impact on corporate capital investment behavior. During pandemic spread period, the enterprises have limited their investment into fixed assets due to less productive use of such assets. Similarly, industries that exist in high-impact areas face a negative investment growth rate due to quarantine policy, fewer social movements, and high installing cost of new machinery. However, this negative effect diminishes across those firms that have a quick cash inflow rate and more availability of bank loans. These two factors serve as a financial setback against the adversities of pandemic. By drawing upon the empirical reasoning on the effect of COVID-19, this study also presents possible solutions to alienate unfavorable impacts of this pandemic. Current analysis can be considered as an early attempt towards investigating the consequences of COVID-19 on investment decisions of industrial sector.JEL Classification: G32: G31: G40: C33 Doi: 10.28991/esj-2021-SPER-11 Full Text: PDF
Secondary Socialization of Homeschoolers during the Covid-19 Pandemic Václav Šimek; Albert Oláh; Kateřina Bočková
Emerging Science Journal Vol 5 (2021): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SPER-12

Abstract

The presented article deals with the description of the socialization of basic school pupils, i.e. pupils in younger and middle school age, who fulfill the compulsory school attendance in the form of individual education (homeschooling) in the context of the legislation of the Czech Republic. In the context of fulfilling the article aim, we formulated three research questions, which were evaluated using quantitative research in the form of a questionnaire survey. The research confirmed that parents of homeschoolers significantly support their children in participating in organized leisure activities and are actively involved in mediating their child's contact with other children. In the comparison of the examined groups there were no significant differences in how the children perceive their friends, what their favorite activities are or how much time they spend with them. The difference was more noticeable in the parental approach in education, when setting some rules. This article can outline areas that can be further explored in more detail and compared in context. Doi: 10.28991/esj-2021-SPER-12 Full Text: PDF
Support Directional Shifting Vector: A Direction Based Machine Learning Classifier Md. Kowsher; Imran Hossen; Anik Tahabilder; Nusrat Jahan Prottasha; Kaiser Habib; Zafril Rizal M. Azmi
Emerging Science Journal Vol 5, No 5 (2021): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01306

Abstract

Machine learning models have been very popular nowadays for providing rigorous solutions to complicated real-life problems. There are three main domains named supervised, unsupervised, and reinforcement. Supervised learning mainly deals with regression and classification. There exist several types of classification algorithms, and these are based on various bases. The classification performance varies based on the dataset velocity and the algorithm selection. In this article, we have focused on developing a model of angular nature that performs supervised classification. Here, we have used two shifting vectors named Support Direction Vector (SDV) and Support Origin Vector (SOV) to form a linear function. These vectors form a linear function to measure cosine-angle with both the target class data and the non-target class data. Considering target data points, the linear function takes such a position that minimizes its angle with target class data and maximizes its angle with non-target class data. The positional error of the linear function has been modelled as a loss function which is iteratively optimized using the gradient descent algorithm. In order to justify the acceptability of this method, we have implemented this model on three different standard datasets. The model showed comparable accuracy with the existing standard supervised classification algorithm. Doi: 10.28991/esj-2021-01306 Full Text: PDF

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