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<![CDATA[Support Directional Shifting Vector: A Direction Based Machine Learning Classifier ]]>
<![CDATA[Md. Kowsher]]>;
<![CDATA[Imran Hossen]]>;
<![CDATA[Anik Tahabilder]]>;
<![CDATA[Nusrat Jahan Prottasha]]>;
<![CDATA[Kaiser Habib]]>;
<![CDATA[Zafril Rizal M. Azmi]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01306
<![CDATA[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]]>
<![CDATA[Emotions and Self-efficacy as Mediators of Pre-Service Teachers' Adoption of Digital Tools ]]>
<![CDATA[Daher, Wajeeh]]>;
<![CDATA[Baya'a, Nimer]]>;
<![CDATA[Anabousy, Ahlam]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01301
<![CDATA[The present research examines whether the pre-service teachers’ preparation in using digital tools in their teaching develops their acceptance of these tools for teachings. The research also examines the mediation of self-efficacy, anxiety of using digital tools for teaching mathematics and science and enjoyment of this use between the constructs of acceptance of digital tools for teaching. We used the TAM questionnaire in addition to scales that measure enjoyment, self-efficacy and anxiety. Forty-eight mathematics and science pre-service teachers participated in the study. We analyzed the collected data using SPSS 21. The research results indicate that the pre-service teachers’ preparation resulted in significant differences in their scores of affective and usage constructs associated with their acceptance of digital tools for mathematics and science teaching, except in the scores of anxiety. Self-efficacy proved to be a partial mediator between attitude and intention-to-use. Enjoyment proved to be a partial mediator between ease-of-use and attitude, but not between usefulness and attitude. Moreover, enjoyment proved to be a partial mediator between attitude and intention-to-use. These findings contribute to the understanding of mediators that affect the acceptance of digital tools for teaching. Doi: 10.28991/esj-2021-01301 Full Text: PDF]]>
<![CDATA[Relationship between Transformational Leadership Style and Leadership Thinking of Provincial Administration Leaders ]]>
<![CDATA[Thanh Nguyen Hai]]>;
<![CDATA[Tung Trinh Van]]>;
<![CDATA[Hien Nguyen Thi]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01307
<![CDATA[Objectives: The transformational leadership style is accepted as suitable for leading administrative agencies to achieve outstanding results and help organizations cope with challenges. Besides, leadership thinking is also considered to have a very important role in leadership performance in administrative agencies. Therefore, the main objective of the study is to explore the relationship between transformational leadership style and leader thinking to organization's performance. Methods: The article focuses on explaining the views on transformational leadership style, healthy thinking, and the relationship between transformational leadership style and leadership thinking, and at the same time points out the current status of transformational leadership style, transformational leadership, leadership thinking as well as this relationship in practice among the leaders of provincial agencies in Vietnam. Descriptive, inductive, deductive, synthetic, and quantitative statistical methods were applied to interpret the results. Findings: Research results show that transformational leadership style, leadership thinking in the team of leaders of provincial agencies is quite average, there is a strong positive correlation between transformational leadership style. In contrast to leadership thinking, a more transformative leadership style means that it requires an innovative leadership thinking. Novelty:The results achieved when applying a transformational leadership style are quite closely related to the application of leadership thinking to solve leadership challenges. Doi: 10.28991/esj-2021-01307 Full Text: PDF]]>
<![CDATA[Planning, Accounting and Control as Risk Management Tools for Small Business Investment Projects ]]>
<![CDATA[Svitlana Bondarenko]]>;
<![CDATA[Natalya Shlafman]]>;
<![CDATA[Nataliia Kuprina]]>;
<![CDATA[Olga Kalaman]]>;
<![CDATA[Olena Moravska]]>;
<![CDATA[Natalia Tsurkan]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01302
<![CDATA[The purpose of this study is to develop scientifically sound proposals and recommendations for the implementation of planning, accounting and control tools in risk management of investment projects of small businesses. The relevance of this study is due to the need to provide small businesses with effective methods of risk management of the investment project, which can significantly reduce the negative impact of risk factors and achieve a significant effect from the investment. To achieve the goal of the study, methodological approaches were used to assess the risk sustainability of the enterprise, based on the assessment of the resource potential of the enterprise. A system of indicators is proposed to assess the quality of enterprise resources. Theoretical and methodological approaches to the formation of an early warning system in risk management have been developed. The proposed concept of indicative management includes tools for indicative control of investment projects in relation to the risk sustainability of the enterprise from the standpoint of its resource provision. Risks in this case become key indicators to which management actions should be directed. The introduction of a risk passport is proposed as a tool for early warning of crisis phenomena in small enterprises. The authors proved that the risk prevention system should be integrated into the overall organizational structure and become part of the enterprise management system. Indicative management is proposed as a tool for implementing functional strategies to prevent or eliminate threats and maximize their strengths and capabilities. Doi: 10.28991/esj-2021-01302 Full Text: PDF]]>
<![CDATA[Utilization of Alkin-WP-Based Digital Library Evaluation Software as Evaluation Tool of Digital Library Effectiveness ]]>
<![CDATA[Dewa Gede Hendra Divayana]]>;
<![CDATA[I Putu Wisna Ariawan]]>;
<![CDATA[I Made Ardana]]>;
<![CDATA[P. Wayan Arta Suyasa]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01308
<![CDATA[One source of learning in universities is a digital library. In the era of industry 4.0, most universities have implemented digital libraries in supporting the learning process. However, the reality shows that digital library management is still ineffective. Therefore, the implementation of digital libraries needs to be evaluated for determining the digital library effectiveness used as learning resources in supporting the learning process in universities. Many evaluation tools are used to evaluate the effectiveness of digital libraries but have not provided accurate recommendation results to support decision-making. This research presents an innovation in the form of an evaluation tool that can be used to evaluate the digital library effectiveness in universities. That evaluation tool is called the Alkin-WP-based digital library evaluation software. This software is a desktop platform that contains aspects of measuring the digital library effectiveness by referring to the components of the Alkin evaluation model and the WP (Weighted Product) method. This research aimed to show the effectiveness level of the utilization of Alkin-WP-based digital library evaluation software. This research method was R & D (Research & Development) which refers to the ten development stages of the Borg and Gall model. In this research, development was focused only on a few stages, included: usage trials, final product revision, dissemination, and implementation. The subjects involved in assessing the implementation/utilization of the Alkin-WP-based digital library evaluation software were 35 people, in the usage trials were six people, in product revision were three people, and at the stage of dissemination were 15 people. The tools used to collect data were questionnaires and interview guidelines. The data analysis technique used was descriptive quantitative. The effectiveness level of utilizing the Alkin-WP-based digital library evaluation software was 88.34%. It showed that the evaluation software had effective. The impact of this research results on the scientific field of educational evaluation is being able to show the existence of a new evaluation tool based on educational evaluation and artificial intelligence. That evaluation tool can easier for library heads to make policies for revamping digital library services based on accurate recommendations. Doi: 10.28991/esj-2021-01308 Full Text: PDF]]>
<![CDATA[Applying Conflict Management Styles to Resolve Task Conflict and Enhance Team Innovation ]]>
<![CDATA[Anh Tho To]]>;
<![CDATA[Thi Siem Tran]]>;
<![CDATA[Kieu Oanh Nguyen]]>;
<![CDATA[Van Trung Hoang]]>;
<![CDATA[Kim Phong Thai]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01303
<![CDATA[Task conflicts among group members have a significant impact on team creativity, so it is critical to identify which conflict resolution styles should be used. This paper aims to examine how various conflict management styles influence team creativity via task conflict. The empirical research was conducted using the Structural Equation Model (SEM) for a sample of 257 employees working for Vietnamese organizations. The results show that dominating style increases task conflict while combining and obliging styles reduce it. To take advantage of the creativity-related benefits associated with task conflict, team leaders should develop an open atmosphere that encourages participants' integrating styles, rather than dominating styles. The negative influence of obliging style reflects Vietnamese culture's high collectivism. The study provides various approaches for task conflict management and also highlights the role of controlling task conflicts in enhancing team innovation. It implies that employees will be able to work better as a team in practice if conflict management strategies are used in a flexible manner. It helps them to build a good connection and successfully implement new ideas. Further research should extend the conclusion of this analysis in various contexts to generalize the findings. Doi: 10.28991/esj-2021-01303 Full Text: PDF]]>
<![CDATA[Machine Learning Bias in Predicting High School Grades: A Knowledge Perspective ]]>
<![CDATA[Ricardo Costa-Mendes]]>;
<![CDATA[Frederico Cruz-Jesus]]>;
<![CDATA[Tiago Oliveira]]>;
<![CDATA[Mauro Castelli]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01298
<![CDATA[This study focuses on the machine learning bias when predicting teacher grades. The experimental phase consists of predicting the student grades of 11th and 12thgrade Portuguese high school grades and computing the bias and variance decomposition. In the base implementation, only the academic achievement critical factors are considered. In the second implementation, the preceding year’s grade is appended as an input variable. The machine learning algorithms in use are random forest, support vector machine, and extreme boosting machine. The reasons behind the poor performance of the machine learning algorithms are either the input space poor preciseness or the lack of a sound record of student performance. We introduce the new concept of knowledge bias and a new predictive model classification. Precision education would reduce bias by providing low-bias intensive-knowledge models. To avoid bias, it is not necessary to add knowledge to the input space. Low-bias extensive-knowledge models are achievable simply by appending the student’s earlier performance record to the model. The low-bias intensive-knowledge learning models promoted by precision education are suited to designing new policies and actions toward academic attainments. If the aim is solely prediction, deciding for a low bias knowledge-extensive model can be appropriate and correct. Doi: 10.28991/esj-2021-01298 Full Text: PDF]]>
<![CDATA[Synthesis of Water-Repellent Coating for Polyester Fabric ]]>
<![CDATA[Nur Nabilah Mohd Za’im]]>;
<![CDATA[Hartina Mohd Yusop]]>;
<![CDATA[Wan Norfazilah Wan Ismail]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01309
<![CDATA[A new hydrophobic hexyltrimethoxysilane (HTMS) coating for polyester fabric was successfully synthesized via a one-step water-based sol-gel method under acidic condition. Five different molar ratios of HTMS: water (1;40, 1:30, 1:20, 1:12 and 1:3) were prepared and the solution was deposited onto the polyester fabric by a simple dip-pad-cure process. The effect of water content on hydrophobicity was evaluated by manual testing on the treated polyester fabric samples. The effectiveness of hydrophobicity properties was further characterized using water contact angle (WCA) measurement. The optimized molar ratio of 1:3 was found to obtain the best hydrophobic property of 136.2° with particle size 115.3 µm measured using Particle Size Analyzer (PSA). Fourier transform infrared spectroscopy (FTIR) analysis confirmed the success of sol gel process with the presence of Si-O-Si band, which was also determined using energy dispersive X-ray spectroscopy (EDX). The Scanning Electron Microscopy (SEM) images revealed a good surface morphology of the homogenous thin xerogel coating with no visible cracks. Using HTMS without combinations of other precursors resulted in rough surface structure due to the low surface energy caused by long-chain alkyl silane in the HTMS coating and this provided the treated polyester fabric with good hydrophobicity. Doi: 10.28991/esj-2021-01309 Full Text: PDF]]>
<![CDATA[Music Stimulation as a Method of Optimizing Autobiographical Memory in Patients Diagnosed with Alzheimer’s Disease ]]>
<![CDATA[Ariana Ponce-Pardo]]>;
<![CDATA[Pamela Acosta-Rodas]]>;
<![CDATA[Jorge Cruz-Cárdenas]]>;
<![CDATA[Carlos Ramos-Galarza]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01304
<![CDATA[Alzheimer’s is a neurodegenerative disease characterized by the progressive deterioration of cognitive functions, with memory being the most affected. Several studies have shown the benefits of music as a complementary treatment for dementia, improving patients’ quality of life. A scientific contribution is needed to show how autobiographic memory could be improved by using musical activities. Objective: The aim of this investigation is to analyze the impact of a musical stimulation protocol on the performance of autobiographical memory in elderly people suffering from Alzheimer’s. Participants and Method: This research was conducted with three patients diagnosed with Alzheimer’s disease: two females (66.7%), and one male (33.3%). One (33.3%) was in the early stages, and two were in the middle stages. This investigation used a quantitative, pre-experimental, longitudinal study with the application of two tests before and after the intervention. Findings: Changes in the performance of autobiographical memory (t=-5.79, p=0.002), and in the semantic component (t=-10.14, p=0.01) were found to be statistically significant, but no changes were evident for episodic memory (t=-0.19, p=0.86). Conclusion: This study provides preliminary evidence of the potential effectiveness of using a music protocol to improve the performance of autobiographical memory in patients with Alzheimer's Disease. Doi: 10.28991/esj-2021-01304 Full Text: PDF]]>
<![CDATA[Design Low Order Robust Controller for the Generator’s Rotor Angle Stabilization PSS System ]]>
<![CDATA[Vu Ngoc Kien]]>;
<![CDATA[Nguyen Hien Trung]]>;
<![CDATA[Nguyen Hong Quang]]>
<![CDATA[ Emerging Science Journal Vol 5, No 5 (2021): October ]]>
Publisher : <![CDATA[Ital Publication ]]>
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DOI: 10.28991/esj-2021-01299
<![CDATA[The electrical system's problem stabilizes the electrical system with three primary parameters: rotor angle stability, frequency stability, and voltage stability. This paper focuses on the problem of designing a low-order stable optimal controller for the generator rotor angle (load angle) stabilization system with minor disturbances. These minor disturbances are caused by lack of damping torque, change in load, or change in a generator during operation. Using the RH∞optimal robust design method for the Power System Stabilizer (PSS) to stabilize the generator’s load angle will help the PSS system work sustainably under disturbance. However, this technique's disadvantage is that the controller often has a high order, causing many difficulties in practical application. To overcome this disadvantage, we propose to reduce the order of the higher-order optimal robust controller. There are two solutions to reduce order for high-order optimal robust controller: optimal order reduction according to the given controller structure and order reduction according to model order reduction algorithms. This study selects the order reduction of the controller according to the model order reduction algorithms. In order to choose the most suitable low-order optimal robust controller that can replace the high-order optimal robust controller, we have compared and evaluated the order-reducing controllers according to many model order reduction algorithms. Using robust low-order controllers to control the generator’s rotor angle completely meets the stabilization requirements. The research results of the paper show the correctness of the controller order reduction solution according to the model order reduction algorithms and open the possibility of application in practice. Doi: 10.28991/esj-2021-01299 Full Text: PDF]]>
