• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.247-253
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• 2021

The outbreak of the deadly virus COVID-19 is said to infect 17.3Cr people around the globe since 2019. This outbreak is continuously affecting a lot of new people till this day and, most of it is said to under control. However, vaccines introduced around the world can help mitigate the risk of the virus. Apart from medical professionals, prediction models are also said to combinedly help predict the risk of infection based on given datasets. This paper is based on publication of a machine learning approach using regression models to predict the output based on dataset which have indictors grouped based on active, tested, recovered and critical cases along with regions and cities covering most of it from Dubai. Hence, the active cases are tested based on the other indicators and other attributes. The coefficient of the determination (r²) is 0.96, which is considered promising. This model can be used as an frame work, among others, to predict the resources related to the dangerous outbreak.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.23-32
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• 2017

Music therapy has been proved to be effective in treatment of diseases such as Alzheimer's disease. Many studies have investigated the effect of music therapy techniques on symptoms of a given disease but there has been no efforts in classifying those studies by specific symptoms of diseases, although patients, caregivers and music therapists have difficulty in discovering documents that they need to treat certain diseases. Thus, in the study, we propose a method to group music therapy-related publications by the music therapy techniques mainly used for a given disease. We expect that it will help music therapists and patients to find papers to help them to cure a specific disorder.

• Coupled systems mechanics
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• v.10 no.2
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• pp.103-121
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• 2021

The present research deals with the investigation of the effect of hall current in an orthotropic magneto-thermoelastic medium with two temperature in the context of multi-phase-lag heat transfer due to thermomechanical sources. The bounding surface is subjected to linearly distributed and concentrated loads(mechanical and thermal source).Laplace and Fourier transform techniques are used to solve the problem. The expressions for displacement components,stress components and conductive temperature are derived in transformed domain and furtherin physical domain with the help of numerical inversion techniques. The effect ofrotation and hall parameter hasshown with the help of graphs.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.168-176
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• 2021

This study developed and evaluated a learning model to improve collaborative problem-solving skills for nursing students taking physiology courses. This one-group pretest-posttest design used the jigsaw cooperative learning method on 30 nursing students from one local university. We analyzed the effect of a cooperative problem- solving learning model using SPSS 21.0 to compare changes in the students' collaborative self-efficacy, problem-solving abilities, and team-member exchange. As a result, the participants showed significant increases in collaborative self-efficacy, problem-solving ability, and team-member exchange after experiencing cooperative problem- solving learning model. Therefore, we will help nursing students improve their communication skills by enhancing their collaborative self-efficacy and help them solve problems effectively in conflict situations.

• Journal of Korea Multimedia Society
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• v.24 no.2
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• pp.328-335
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• 2021

In the era of 'Untact', virtual reality-based job training platforms are actively being used as part of non-face-to-face education for students with developmental disabilities. Because the people with developmental disabilities may lack sufficient cognitive abilities, it is difficult to conduct untact training seamlessly without the help of a third party. Therefore, it is necessary for training programs to identify the right timing to provide help so that the training can be continued. This research analyzed the visual attention of students with developmental disabilities in virtual reality-based job training program in order to determine the point of time when an intervention is required by the trainee. Results showed that students who completed the mission tended to have intense visual attention on a small number of objects for a certain period of time; the visual attention of the students who failed tended to shift erratically among multiple objects.

• SUVANNABHUMI
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• v.13 no.1
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• pp.89-110
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• 2021

The Ramayana is a very popular epic in Southeast Asia. It is the story of King Rama who must save his kidnapped wife, Sita. After Sita was abducted by the Demon King Ravana (Tosakanth) and taken to Lanka, Rama and his brother rescued her with the help of the monkey warriors, especially with the help of the Monkey King Hanuman. Along the way, the epic teaches Hindu life lessons. Today The Ramayana is told and retold through literature, theatre, orally, in movies, and is referenced in many other forms of popular culture. Nowadays, in Thailand, Ravana and Hanuman deconstruct the role of divine and become folk deities that also find their places in calendar art, advertising and stamps, etc. And in Vietnam, Ravana and Hanuman have become the two figures that can't be absent from Southern Vietnam Khmer ceremonies. In this article, our aim is to show how Ravana and Hanuman became symbols of popular culture (case studies in Thailand and Vietnam). The data provided in this article is drawn from field surveys with reliable reference resources.

• Journal of Distribution Science
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• v.19 no.8
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• pp.57-67
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• 2021

Purpose: The purpose of this study was to explain the application of TPB and personal happiness on donation behavior and willingness to donate. Research design, data, and methodology: The population of this research is people in Indonesia who have a tendency in its culture to donate. The sample size used was 245 people with a purposive sampling method. The analysis technique used is Path Analysis using SEM-PLS. Result: The results show that the subjective norm had appositive and significant effect on attitude to donate; subjective norm has appositive and significant effect on the donation behavior. Personal happiness has a positive and significant effect on attitude to donate, and personal happiness also has a positive and significant effect on the donation behavior, and the donation behavior has a positive and significant effect on the attitude to donate. Conclusions: Being a responsible person to other people's conditions, as you see other people needing help, you will feel that you have the power to help them. you are often helping people in need, which concludes you are a compassionate person.

• Composite Materials and Engineering
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• v.3 no.3
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• pp.241-262
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• 2021

In this article, we studied the effect of two-temperature in a two-dimensional orthotropic thermoelastic media with fractional order heat transfer in generalized thermoelasticity with three-phase-lags due to thermomechanical sources. The boundary of the surface is subjected to linearly distributed and concentrated loads (mechanical and thermal source). The solution of the problem is obtained with the help of Laplace and Fourier transform techniques. The expressions for displacement components, stress components and conductive temperature are derived in transformed domain. Numerical inversion technique is used to obtain the results in physical domain. The effect of two-temperature on all the physical quantities has been depicted with the help graphs. Some special cases are also discussed in the present investigation.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.332-338
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• 2022

The article is dedicated to the phenomenon of modern ex-libris created with the help of computer graphics. The process of evolution in the use of various techniques of book plate creating is analyzed, the role of computer technologies in the popularization of the modern book plate is emphasized. The debatable nature of the issue of the danger of displacement, replacement of traditional techniques of printed graphics with computer technologies is emphasized. Computer graphics are positioned as an effective way to popularize the Ukrainian ex-libris in the foreign art space. The characteristic features of the Ukrainian computer ex-libris are highlighted, a parallel with the book plate created with the help of computer graphics by masters of other countries (Belgium, China, the Netherlands, Poland, Turkey) is drawn

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.221-227
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• 2021

An early warning system was developed to help identify stock status as early as possible. For performance to improve, there needs to be a feature to predict the amount of stock that must be provided and a feature to estimate when to buy goods. This research was conducted to improve the inventory early warning system and optimize the Reminder Block's performance in minimum stock settings. The models used in this study are the single exponential smoothing (SES) method for prediction and the economic order quantity (EOQ) model for determining the quantity. The research was conducted by analyzing the Reminder Block in the early warning system, identifying data needs, and implementing the SES and EOQ mathematical models into the Reminder Block. This research proposes a new Reminder Block that has been added to the SES and EOQ models. It is hoped that this study will help in obtaining accurate information about the time and quantity of repurchases for efficient inventory management.