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INDONESIA
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 12 Documents
 1   2 
Search results for , issue "Vol 5, No 2 (2021): April" : 12 Documents clear
Sampling in Management Studies of Public Organizations: Elite Orientation Model vs. Multiple Informants Model Dimitris Karastathis; Georgia Yfantidou; Stella Kormikiari; Dimitris Gargalianos; Antonia Kalafatzi
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-2021-01272

Abstract

The selection of the sample in a survey constitutes a significant parameter for the research process. A disagreement of opinions is observed in the field of management between researchers regarding which sample fabricates better results in surveys administered in public organizations. Some of them support that only the senior levels of the management hierarchy should participate in (Elite Orientation Model), while others support the participation of representatives from all levels (Multiple Informants Model). A questionnaire was administered to people from the three levels of Hellenic Sport Federations (HSFs) management hierarchy (employees, directors/managers, Board members) in order to investigate their perception about the degree to which excellence processes (enablers / results) were implemented. The purpose of this paper was to investigate which is the most appropriate model, regarding the selection of participants in studies about the administration /management of public organizations. Statistically significant differences regarding their perceptions for the topic under investigation were revealed, which were directly related to their level in the hierarchy. It was concluded that in similar studies the Multiple Informants Model fabricates more reliable results. Doi: 10.28991/esj-2021-01272 Full Text: PDF
Left by the West? Academic Discourse on Corruption for a Better Social Resilience Pernica, Bohuslav; Pikhart, Marcel
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-2021-01266

Abstract

The paper deals with the topic of corruption that has been understood as a global social problem since the 1990s. Its theoretical background is rooted in the theory of social constructivism. Social constructivism highlights the social strategy in which increased social discourse about a particular topic implies and reflects a growing interest of the society in the topic to arouse a robust awareness of the issue as a social problem. It analyses academic journals and conference paper proceedings that appear in a well-known database of academic journals and texts, namely in Web of Science. The research follows PRISMA methodology and it was conducted as an analysis of the terms and collocations that are connected to the issue of corruption with the aim to identify relevant research papers which have appeared in Web of Science since 1995. The idea behind this analysis was not only to identify the journal papers and papers published as conference proceedings but to compare the results geographically with well-known officially acknowledged state and government data dealing with the issue of corruption, and then to look for connections between these two areas, i.e. academic and governmental data. The results show significant differences between post-communist countries versus the so-called West regarding how they present information about corruption in their academic discourse. Despite the fact that the West supports the East in its fight with corruption economically, it is not reflected sufficiently and adequately in the relevant academic discourse. This paper suggests that societal resilience against corruption can dramatically be supported by enhanced academic discourse about the topic that is still not sufficient. Doi: 10.28991/esj-2021-01266 Full Text: PDF
Overview of Biosignal Analysis Methods for the Assessment of Stress I. Ladakis; I. Chouvarda
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-2021-01267

Abstract

Objectives: Stress is a normal reaction of the human organism induced in situations that demand a level of activation. This reaction has both positive and negative impact on the life of each individual. Thus, the problem of stress management is vital for the maintenance of a person’s psychological balance. This paper aims at the brief presentation   of stress definition and various factors that can lead to augmented stress levels. Moreover, a brief synopsis of biosignals that are used for the detection and categorization of stress and their analysis is presented. Methods: Several studies, articles and reviews were included after literature research. The main questions of the research were: the most important and widely used physiological signals for stress detection/assessment, the analysis methods for their manipulation and the implementation of signal analysis for stress detection/assessment in various developed systems.  Findings: The main conclusion is that current researching approaches lead to more sophisticated methods of analysis and more accurate systems of stress detection and assessment. However, the lack of a concrete framework towards stress detection and assessment remains a great challenge for the research community. Doi: 10.28991/esj-2021-01267 Full Text: PDF
A Novel Framework for Multi-Document Temporal Summarization (MDTS) Kishore Kumar Mamidala; Suresh Kumar Sanampudi
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-2021-01268

Abstract

Internet or Web consists of a massive amount of information, handling which is a tedious task. Summarization plays a crucial role in extracting or abstracting key content from multiple sources with its meaning contained, thereby reducing the complexity in handling the information. Multi-document summarization gives the gist of the content collected from multiple documents. Temporal summarization concentrates on temporally related events. This paper proposes a Multi-Document Temporal Summarization (MDTS) technique that generates the summary based on temporally related events extracted from multiple documents. This technique extracts the events with the time stamp. TIMEML standards tags are used in extracting events and times. These event-times are stored in a structured database form for easier operations. Sentence ranking methods are build based on the frequency of events occurrences in the sentence. Sentence similarity measures are computed to eliminate the redundant sentences in an extracted summary. Depending on the required summary length, top-ranked sentences are selected to form the summary. Experiments are conducted on DUC 2006 and DUC 2007 data set that was released for multi-document summarization task. The extracted summaries are evaluated using ROUGE to determine precision, recall and F measure of generated summaries. The performance of the proposed method is compared with particle swarm optimization-based algorithm (PSOS), Cat swarm optimization-based summarization (CSOS), Cuckoo Search based multi-document summarization (MDSCSA). It is found that the performance of MDTS is better when compared with other methods. Doi: 10.28991/esj-2021-01268 Full Text: PDF
Optimal Management Energy System and Control Strategies for Isolated Hybrid Solar-Wind-Battery-Diesel Power System F. E. Tahiri; K. Chikh; M. Khafallah
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-2021-01262

Abstract

This paper proposes optimal control strategies of a standalone Hybrid Power System (HPS) to supply sustainable and optimal energy to an isolated site with improved quality of electrical energy. A topology of Isolated Hybrid Power System (IHPS) is proposed, consists of: a Photovoltaic System (PVS), a Wind Energy Conversion System (WECS), electronic power devices controlled to maximize energy production from renewable sources and to maintain the constant DC-link voltage, a Battery Energy Storage System (BESS), Diesel Generator (DG), and a Pulse Width Modulation (PWM) Voltage Source Inverter (VSI) located at the load-side end. In addition, a novel control strategy has been proposed, in this work, to maximize the power from the PVS. This presented strategy, based on the combination between Perturb and Observe (P&O) algorithm and the Fuzzy PI Controller (FPIC), presents a good performance, especially in the dynamic state compared to the classical algorithm P&O. A supervisory control algorithm has been elaborated to manage the energy flows between the devices of the hybrid system to make the decision of the optimal operating mode in order to ensure a continuous supply of the load with minimum usage of batteries and DG. The simulation results developed in the Matlab/Simulink environment are applied to show the efficiency and performance of the proposed control strategies in terms of power optimization and energy management. Doi: 10.28991/esj-2021-01262 Full Text: PDF
Servant Leadership Styles: A Theoretical Approach Thanh Nguyen Hai; Quang Nguyen Van
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-2021-01273

Abstract

The main objective of the article is to examine the leadership style through a number of analyses, evaluations and researches from available sources, in order to discover suggested facts related to leadership activities through the prisms of servant leadership theory. So far, many leadership theories have been developed, proposing different leadership styles. One of the most discussed leadership styles is the servant leadership, which implies that a person must be human first, leader second. Every leader must whole heartedly serves an organization to which he/she belongs. This is both an honor and a great responsibility for the leader. The main methods used in the article are analysis, synthesis, evaluation based on literature review. The article aims to point out the outstanding strengths of the servant leadership style that a leader needs. The article focuses on specifying the strengths in servant leadership that leaders need in the current context of ever changing world, and hence, proposes guidelines for leaders to learn and practice so that they can better serve their public organizations. Doi: 10.28991/esj-2021-01273 Full Text: PDF
Assessing the Social Media User’s Credibility Rating of Shared Content, and its Utilization in Decision Making Hadiza Wada
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-2021-01269

Abstract

This study seeks to ascertain the degree to which people rely on unprofessionally processed information from social media to make decisions or take critical actions. Professional media, in this case, refers to the traditional broadcast and print media who have been in the business of professionally processing and authenticating information for their audiences. While social media represent the various platforms for social exchange of information. Relevant to this study is the social media’s ability to reach multitudes of people with unsubstantiated information. The methodology employed is simple random sampling, using questionnaire as an instrument. 350 respondents provided input using three age ranges, 20-35, 36-50, and 50 and above. The results show social media usage as the only news source for the youngest age group at 38%. The 50 plus years mainly rely on professional media. While all three age groups admitted to sharing of unsubstantiated information at 68%, only 30% admit to using critical information from social media. Most importantly, the findings indicate; where prevalence and availability tends to overwhelm users, taking the time to seek more credible information takes a back seat, even in cases where the information sought is critical to decision making and use. Doi: 10.28991/esj-2021-01269 Full Text: PDF
Impact of Social Media on the Development of New Products, Marketing and Customer Relationship Management in Kosovo Rrezarta Gashi; Hana Gashi Ahmeti
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-2021-01263

Abstract

The main objective of this paper is to highlight the importance of social media in the development of enterprises, and in particular the development of new products, and highlight the role of social media in customer relations, where the development of a new product is one of the most important elements for an enterprise. For the realization of this paper, a special questionnaire was used, where its structure was divided into three parts, where in the first part are presented the demographic questions, in the second part are the questions related to the use of social media, as and the third part includes questions related to the productivity of products and the enterprise in general. Participants in this paper were 350 companies. The paper results are presented through descriptive analysis, correlation analysis, and regression. Based on the results of this paper, we can say that Kosovar companies through social media establish relationships with their customers and keep them informed, which also greatly influences the development of new products, as well as organizational performance. Also what is noticed in this paper is the enterprises have managed to improve the quality of products through the study of customer feedback. The results also show that the use of social media to create relationships with customers and inform them, statistically affect the organizational performance and product success of Kosovo enterprises. The results also show that social media have an impact on organizational performance, the success of the company, close customer relationships, and timely information. Doi: 10.28991/esj-2021-01263 Full Text: PDF
Identification of Sickle Cell Anemia Using Deep Neural Networks Sagar Yeruva; M. Sharada Varalakshmi; B. Pavan Gowtham; Y. Hari Chandana; PESN. Krishna Prasad
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-2021-01270

Abstract

A molecule called hemoglobin is found in red blood cells that holds oxygen all over the body. Hemoglobin is elastic, round, and stable in a healthy human. This makes it possible to float across red blood cells. But the composition of hemoglobin is unhealthy if you have sickle cell disease. It refers to compact and bent red blood cells. The odd cells obstruct the flow of blood. It is dangerous and can result in severe discomfort, organ damage, heart strokes, and other symptoms. The human life expectancy can be shortened as well. The early identification of sickle calls will help people recognize signs that can assist antibiotics, supplements, blood transfusion, pain-relieving medications, and treatments etc. The manual assessment, diagnosis, and cell count are time consuming process and may result in misclassification and count since millions of red blood cells are in one spell. When utilizing data mining techniques such as the multilayer perceptron classifier algorithm, sickle cells can be effectively detected with high precision in the human body. The proposed approach tackles the limitations of manual research by implementing a powerful and efficient MLP (Multi-Layer Perceptron) classification algorithm that distinguishes Sickle Cell Anemia (SCA) into three classes: Normal (N), Sickle Cells(S) and Thalassemia (T) in red blood cells. This paper also presents the precision degree of the MLP classifier algorithm with other popular mining and machine learning algorithms on the dataset obtained from the Thalassemia and Sickle Cell Society (TSCS) located in Rajendra Nagar, Hyderabad, Telangana, India. Doi: 10.28991/esj-2021-01270 Full Text: PDF
Bayesian Confidence Intervals for Coefficients of Variation of PM10 Dispersion Warisa Thangjai; Sa-Aat Niwitpong; Suparat Niwitpong
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-2021-01264

Abstract

Herein, we propose the Bayesian approach for constructing the confidence intervals for both the coefficient of variation of a log-normal distribution and the difference between the coefficients of variation of two log-normal distributions. For the first case, the Bayesian approach was compared with large-sample, Chi-squared, and approximate fiducial approaches via Monte Carlo simulation. For the second case, the Bayesian approach was compared with the method of variance estimates recovery (MOVER), modified MOVER, and approximate fiducial approaches using Monte Carlo simulation. The results show that the Bayesian approach provided the best approach for constructing the confidence intervals for both the coefficient of variation of a log-normal distribution and the difference between the coefficients of variation of two log-normal distributions. To illustrate the performances of the confidence limit construction approaches with real data, they were applied to analyze real PM10 datasets from the Nan and Chiang Mai provinces in Thailand, the results of which are in agreement with the simulation results. Doi: 10.28991/esj-2021-01264 Full Text: PDF

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