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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 903 Documents
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Perceived Effects of the COVID-19 Pandemic on Loneliness: The Most Vulnerable Population Groups Margarita Gedvilaitė-Kordušienė; Sarmitė Mikulionienė
Emerging Science Journal Vol 7 (2023): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SPER-020

Abstract

COVID-19 pandemic lockdown measures reasonably limited the social contacts of people in many countries. It is crucial to understand the effect of such policies on people’s social ties and the possible need for evidence-based public policy amendments. Therefore, this study examines 1) the prevalence of loneliness in the population aged 15+ in Lithuania in late 2021 and 2) the self-rated effect of the COVID crisis on loneliness in population groups with different levels of loneliness. It also focuses on the socio-demographic characteristics of these population groups. Data from a representative cross-sectional quantitative survey (N = 1067), carried out in November–December 2021, was used. Based on the 6-item De Jong Gierveld Loneliness Scale, descriptive statistics analysis revealed the high prevalence (51% of a medium level of loneliness) in the Lithuanian population. One in three people (36%) declared low-level loneliness, and each seventh or eighth (13%) reported high-level loneliness. The feelings of respondents who reported a high level of loneliness were also less stable; they more often stated that their feelings of loneliness increased during the pandemic. These research findings make contributions to studies of loneliness within the context of sudden crises. They emphasise the importance of policymakers focusing on additional measures when preparing for future emergencies and providing special attention to residents who experience the highest levels of loneliness. Doi: 10.28991/ESJ-2023-SPER-020 Full Text: PDF
Impact of Continuing Education on Employee Productivity and Financial Performance of Banks Muhamet Hajdari; Fidan Qerimi; Arbëresha Qerimi
Emerging Science Journal Vol 7, No 4 (2023): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-04-09

Abstract

Objectives: This research aims to measure the impact of continuing education on employee productivity and that of the latter on the financial performance of commercial banks in Kosovo. Methods: A quantitative approach was employed to achieve the research objectives and questions. The statistical population comprised 3636 employees working at commercial banks operating in Kosovo. We obtained data from the Central Bank of Kosovo (CBK). A sample of 360 employees was then determined using Slovin's formula to include the representative sample. Findings: The Ordinary Least-Squares (OLS) model demonstrated that continuing education affects employee productivity, and the latter affects the financial performance of commercial banks in Kosovo. The findings indicated that 40.2% of employee productivity is explained by continuing education, while 20.4% of financial performance is explained by employee productivity. Novelty/improvement:This research showed that commercial banks could receive feedback on the importance of employees’ continuing education in increasing their productivity and, subsequently, the bank's financial performance. This can improve effectiveness and productivity at work and the organization's financial results, especially cost optimization and income generation. Doi: 10.28991/ESJ-2023-07-04-09 Full Text: PDF
Industrial, Collaborative and Mobile Robotics in Latin America: Review of Mechatronic Technologies for Advanced Automation Jose Cornejo; S. Barrera; C. A. Herrera Ruiz; F. Gutierrez; M. O. Casasnovas; Leonardo Kot; M. A. Solis; R. Larenas; F. Castro-Nieny; M. R. Arbulú Saavedra; R. Rodríguez Serrezuela; Y. Muñoz Londoño; Alejandro Serna; D. Ortega-Aranda; S. Aranda-Miramontes; I. Chang; M. Cardona; A. Carrasquilla-Batista; R. Palomares; R. Rodriguez; Ruben Parisuaña; Miguel Bórquez; Oscar Navarro; Fernando Sanchez; I. A. Bonev; Jonathan Coulombe; F. Martín Rico; B. L. Treviño-Elizondo; H. García-Reyes; A. Sollazzo; A. Dubor; A. Markopoulou; C. De Marinis; Marco Chacin; Andres Mora; M. Pérez-Ruiz; A. Ribeiro; E. A. L'Huillier
Emerging Science Journal Vol 7, No 4 (2023): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-04-025

Abstract

Mechatronics and Robotics (MaR) have recently gained importance in product development and manufacturing settings and applications. Therefore, the Center for Space Emerging Technologies (C-SET) has managed an international multi-disciplinary study to present, historically, the first Latin American general review of industrial, collaborative, and mobile robotics, with the support of North American and European researchers and institutions. The methodology is developed by considering literature extracted from Scopus, Web of Science, and Aerospace Research Central and adding reports written by companies and government organizations. This describes the state-of-the-art of MaR until the year 2023 in the 3 Sub-Regions: North America, Central America, and South America, having achieved important results related to the academy, industry, government, and entrepreneurship; thus, the statistics shown in this manuscript are unique. Also, this article explores the potential for further work and advantages described by robotic companies such as ABB, KUKA, and Mecademic and the use of the Robot Operating System (ROS) in order to promote research, development, and innovation. In addition, the integration with industry 4.0 and digital manufacturing, architecture and construction, aerospace, smart agriculture, artificial intelligence, and computational social science (human-robot interaction) is analyzed to show the promising features of these growing tech areas, considering the improvements to increase production, manufacturing, and education in the Region. Finally, regarding the information presented, Latin America is considered an important location for investments to increase production and product development, taking into account the further proposal for the creation of the LATAM Consortium for Advanced Robotics and Mechatronics, which could support and work on roboethics and education/R+D+I law and regulations in the Region. Doi: 10.28991/ESJ-2023-07-04-025 Full Text: PDF
Mapping of Sensing Performance of Concentric and Non-Concentric Silver Nanoring Mulda Muldarisnur; Ilham Perdana; E. Elvaswer; Dwi Puryanti
Emerging Science Journal Vol 7, No 4 (2023): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-04-04

Abstract

Sensors play a critical role in improving overall human quality of life. They have been employed in most aspects of our lives. A recently emerging sensing platform is based on plasmonic resonance at the boundary of metals and dielectrics. Localized surface plasmon resonances–based sensors offer miniaturization, a simple setup, and relatively high sensitivity for real-time measurements. The reported figure of merit (FOM) of the LSPR-based sensor is generally limited, primarily due to its broad resonance peak. Nanorings composed of metal nanoparticles are known for their broad-range resonance tunability, high field localization, and large sensing area. Asymmetry of the nanoring with the introduction of core offset relaxes the selection rule for mode mixing, thus resulting in a narrower resonance peak. This may overcome broad resonance peak restriction. Concentric and non-concentric nanorings were simulated using the boundary element method implemented with the MNPBEM toolbox. We map the performance of nanoring sensors over a wide range of geometrical variations, namely, diameter, ring shell thickness, and the offset of the inner ring to the center of the outer ring wall (core offset). Sensitivity and FOM were found to rely substantially on the nanoring size parameters. The sensing performance map helps to obtain optimized nanoring parameters for the intended spectral range region. The obtained high sensitivity and FOM are much higher than the data available in the literature over visible and NIR ranges. The findings demonstrate the potential of nanorings for biosensing applications. Doi: 10.28991/ESJ-2023-07-04-04 Full Text: PDF
The Effect of Physical Cues on Customer Loyalty: Based on the Mediating Effect of Customer Engagement and Value Co-creation Xin-Mei Ye; Hira Batool; Shi-Zheng Huang
Emerging Science Journal Vol 7, No 4 (2023): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-04-020

Abstract

As a new business model, e-commerce live broadcasting has great value in the commercial field. Based on value co-creation theory and the stimulus-organic-response model, this study explores the influence of physical cues in e-commerce live broadcast scenes on customer loyalty. Using the audience of China's e-commerce live broadcasting platform as the research object, 404 valid data points were collected through a questionnaire survey, and a structural equation analysis model was adopted to explore the relationship among the physical clues of the e-commerce live broadcasting scene, customer engagement, value co-creation, and customer loyalty and to verify the mediating effect of customer engagement and value co-creation. The research shows that aesthetic appeal, layout, and function have a positive impact on customer engagement, but financial security has no positive impact on customer engagement. In addition, value co-creation has an intermediary effect, and customer engagement and value co-creation have a double intermediary effect on physical cues and customer loyalty in e-commerce live broadcast scenes. The research not only expands the theory of value co-creation and scene but also provides practical reference value for e-commerce live broadcasting platforms and enterprises and promotes the design of physical cues in e-commerce live broadcasting scenes to improve customer loyalty. Doi: 10.28991/ESJ-2023-07-04-020 Full Text: PDF
Stand up Against Bad Intended News: An Approach to Detect Fake News using Machine Learning Nafiz Fahad; K. O. Michael Goh; Md. Ismail Hossen; K. M. Shahriar Shopnil; Israt Jahan Mitu; Md. A. Hossain Alif; Connie Tee
Emerging Science Journal Vol 7, No 4 (2023): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-04-015

Abstract

The purpose of this approach is to find out the effects and efficiently detect fake news by using a publicly available dataset. However, it is difficult for human beings to judge an article's truthfulness manually, which is why This paper mainly wanted to cure the effect and to found out an automated fake news detection system with benchmark accuracy by using a machine learning classifier, which must be higher than other recent research works. In essence, this work’s target is to find out an efficient way to detect fake and real news, and it also the target is to compare with existing work where researchers used machine learning classifiers and deep learning architecture. The proposed approach depended on a systematic literature review and a publicly available dataset where 7796 news data are recorded with 50% real and 50% fake news. The best and benchmark accuracy is 93.61%, achieved by the Support Vector Machine (SVM) among the used Random Forest, Decision Tree, KNN, and Logistics Regression classifiers, and the achieved accuracy is better than the exciting recent research works. Moreover, fake news is detected, people are able to differentiate between fake or real news, and effects are cured when people used SVM. Doi: 10.28991/ESJ-2023-07-04-015 Full Text: PDF
Determinants of the Realization of Second Chance Education Lenka Pasternáková; Silvia Barnová; Miron Zelina; Slávka Krásna; Gabriela Gabrhelová
Emerging Science Journal Vol 7 (2023): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SIED2-015

Abstract

The aim of the study is to present a newly developed research instrument examining the determinants of second chance programmes’ success or failure from the perspective of teachers. In the theoretical part of the study, the authors elaborate on the issues of second chance education and focus on factors having a direct impact on the results of its realization. Subsequently, the Second Chance Education Indicators Questionnaire developed by the authors, the results of the carried out internal factorial analysis, as well as the calculated correlations, are presented. Based on the gathered data from 1,038 teachers, seven factors – "Satisfying employers’ needs in the field of education"; "Promoting the development of teachers’ competencies for second chance education"; "Providing teachers with support in developing their professional skills in the field of second chance education"; "Funding schools providing second chance education"; "The system of dual VET in second chance education"; and "Potentials for increasing the quality of second chance education" – were identified, and the existence of an internal factorial structure was confirmed. Since there is no other available research tool for identifying these determinants, it can be assumed that the Second Chance Education Indicators Questionnaire is a unique research tool, which can be used for further research activities and can contribute to broadening the current knowledge in the field. Doi: 10.28991/ESJ-2023-SIED2-015 Full Text: PDF
An Optimized Machine Learning and Deep Learning Framework for Facial and Masked Facial Recognition Putthiporn Thanathamathee; Siriporn Sawangarreerak; Prateep Kongkla; Dinna Nina Mohd Nizam
Emerging Science Journal Vol 7, No 4 (2023): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-04-010

Abstract

In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques. Prior studies only used a single machine learning model for classification and did not report optimal parameter values. In contrast, we utilized a grid search with hyperparameter tuning and nested cross-validation to achieve better results during the verification phase. We performed experiments on a large dataset of facial images with and without masks. Our findings showed that the SVM model with hyperparameter tuning had the highest accuracy compared to other models, achieving a recognition accuracy of 0.99912. The precision values for recognition without masks and with masks were 0.99925 and 0.98417, respectively. We tested our approach in real-life scenarios and found that it accurately identified masked individuals through facial recognition. Furthermore, our study stands out from others as it incorporates hyperparameter tuning and nested cross-validation during the verification phase to enhance the model's performance, generalization, and robustness while optimizing data utilization. Our optimized approach has potential implications for improving security systems in various domains, including public safety and healthcare. Doi: 10.28991/ESJ-2023-07-04-010 Full Text: PDF
The Fundamental Strategies that will Drive Higher Educational Sector Towards Digital Transformation in Industry 4.0 David Mhlanga
Emerging Science Journal Vol 7 (2023): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SIED2-010

Abstract

Digital transformation is the coordination of digital technologies with organizational aspects and human variables in a specific setting. It goes beyond simply implementing a technology solution. Additionally, it calls for the thoughtful and complete application of digital technology to the creation of new skills and theoretical frameworks. The goal of the current study is to examine the basic practices that will propel Industry 4.0's digital transformation of the educational sector. Utilizing a qualitative research approach that included a comparison and analysis of the relevant body of earlier work, the study discovered that digital transformation in education can be driven by several factors, including campus safety, data security, student achievement, strategy, data enablement, student-cantered services, cost and availability, digital integration, and artificial intelligence. The study concluded with a variety of strategies that can aid in the digital transformation of universities and other institutions of higher learning, like establishing a solid foundation for information and communication technology systems and delivering cyber security that is up to date with current best practices, among the many strategies suggested. Doi: 10.28991/ESJ-2023-SIED2-010 Full Text: PDF
Improving the Theoretical and Methodological Framework for Implementing Digital Twin Technology in Various Sectors of Agriculture Alexander Semin; Denis Mironov; Mikhail Kislitskiy; Alexander Zasypkin; Valery Ivanov
Emerging Science Journal Vol 7, No 4 (2023): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-04-05

Abstract

The aim of this study is to systematize and improve the theoretical and methodological framework for implementing digital twin technology. The study focuses on digital twins in agriculture. This paper is designed to solve the scientific problem associated with the development of a methodological framework for the implementation of digital twins in the work of agricultural organizations. Using methods of analysis of socio-economic phenomena and processes on the basis of a set of scientific approaches, economic-statistical analysis, and others, the study considers the importance of digital twins of agricultural machinery and equipment, identifies trends in agriculture determined by digitalization, and suggests promising areas for digital twins of agricultural machinery and equipment. This paper also examines the theoretical basis for the implementation of digital twin technology in the agricultural sector of production. New research results complement the theoretical provisions on the essence of digital twin technology; develop the methodological provisions of digital twin technology, represented by the study of their significance, principles, and features of operation. The study may be seen as academically novel as it reveals the prerequisites for implementing digital technology in agriculture as well as clarifies and improves the theoretical and methodological provisions of the application of digital twin technology in various sectors of agriculture. Doi: 10.28991/ESJ-2023-07-04-05 Full Text: PDF

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