Reviewerly/exHarmony huggingface dataset:
Effective Key Region-Guided Face Detail Optimization Algorithm for 3D Face Reconstruction

Low-cost and highly efficient 3D face reconstruction is a significant technique for developing virtual interaction applications. While the Kinect, a typical low-cost 3D data collection device, has been widely used in many applications, in this work, we propose a highly efficient 3D face point cloud optimization method for face reconstruction based on Kinect. Based on the different characteristics of the Kinect point cloud, diverse optimization strategies were delicately applied to improve the reconstruction quality. Our extensive experiments clearly show that our approach outperforms traditional approaches in terms of accuracy.
DEVELOPING THE ELECTRONIC BOOK USING AUTORUN PRO ENTERPRISE APPLICATION FOR VIRTUAL SPEAKING CLASS AT KOKSANGA SCHOOL THAILAND

The aim of the research is to develop an electronic book of learning speaking for the fourth grade of Koksanga primary school Thailand that is conducted virtually. The method used in this research is Research and Development method with the ADDIE model. It includes five phases: students’ need analysis, designing the prototype, developing the product, implementing the product, and evaluating the product. The instruments used are interviews, expert judgment rubric, and summative test scores conducted before and after the implementation. The results show that the e-book media has a very valid category both from material suitability in the score 87,78 and physical design suitability in the score 77,78. Moreover, the difference in students’ scores before and after the implementation of the e-book shows significant improvement from the mean score of 52,7 in the pre-test to 75,3 in the post-test, which is the improvement is 22,6. Therefore, it means that the electronic book is suitable for the fourth-grade primary students in improving their speaking skills.
Employees’ Performance and Organisational Culture in the Utility Sector

The study investigated the influence of organizational culture towards employee performance at utilities sector. The purpose of the study was to analyze the relationships between factors that influence employee performance, which are employee participation, openness to communication and reward systems among employees of utilities sector. The researchers have selected the employees working at the utilities sector as the study population, which included 134 employees. A set of questionnaires has been used to collect and analyze data and distributed via Google Form to respondents. The statistical analyses were performed using version 23 of the Statistical Package for Social Science (SPSS). In order to identify the impact of organizational culture among employees at this sector, the Correlation and Multiple Regressions analyses were used. The results showed that there is a strong relationship between independent and dependent variables. The results also indicate that the three hypotheses were accepted. The researchers hope that the results will also provide benefits to the organization.
A MACHINE LEARNING MODEL FOR AN EARTHQUAKE FORECASTING USING PARALLEL PROCESSING

Earthquake is a devastating natural hazard which has a capability to wipe out thousands of lives and cause economic loss to the geographical location. Seismic stations continuously gather data without the necessity of the occurrence of an event. The gathered data is processed by the model to forecast the occurrence of earthquakes. This paper presents a model to forecast earthquakes using Parallel processing. Machine Learning is rapidly taking over a variety of aspects in our daily lives. Even though Machine Learning methods can be used for analyzing data, in the scenario of event forecasts like earthquakes, performance of Machine Learning is limited as the data grows day by day. Using ML alone is not a perfect solution for the model. To increase the model performance and accuracy, a new ML model is designed using parallel processing. The drawbacks of ML using central processing unit (CPU) can be overcome byGraphic Processing unit (GPU) implementation, since the parallelism is naturally provided using framework for developing GPU utilizing computational algorithms, known as the Compute Unified Device Architecture (CUDA). The implementation of hybrid state vector machine (H-SVM) algorithm using parallel processing through CUDA is used to forecast earthquakes. Our experiments show that the GPU based implementation achieved typical speedup values in the range of 3-70 times compared to conventional central processing unit (CPU). Results of different experiments are discussed along with their consequences.
Designing a New Data Encryption Algorithm Using a Genetic Code Method

Today, the widespread use of information and communication tools along with the developing technology has facilitated access to information.These developments have revealed the importance of data security.Many encryption algorithms have been developed to ensure secure data transfer.In this article, we have developed a new Genetic Encryption Algorithm (GEA) inspired by the DNA structure.The GEA is compared to a DES (Standard Encryption Algorithm), an AES (Advanced Encryption Algorithm) and a RSA encryption algorithm.A short evaluation is made, presenting the results, along with tables and graphs.
A Study on Creativity of University Students

Daily innovation and improvement activities within the company are important for a company to carry out sustainable management. In addition, in-house innovation and improvement activities are also required to be efficient, such as shortening the time required to solve problems. Therefore, it is important for employees to discover issues, execute, and teamwork. Among them, creativity is especially required. In terms of creativity, many researchers have suggested the importance of fostering creativity in childhood and youth. Therefore, in this study, we focus on youth students, collect cases of daily successful experiences from childhood to youth based on interview surveys, analyze them, and clarify their characteristics.
SEMI-AUTOMATED CRICKET BROADCAST HIGHLIGHT GENERATION

This paper provides an improvement to automated cricket highlight identiﬁcation from full broadcasts. Further reﬁnement is provided through semi- automated user veriﬁcation. This visual result is synchronized with an automated text extraction process. The visual result was successfully extracted at a rate of 97.5% using the ORB function. With user validation a false detection rate of 0% was realized. The metadata from the commentary was then successfully extracted and combined with the visual results to allow for easy searching of the highlight video using any search ﬁeld.
Tenth Grade Students’ Ability in Writing Descriptive Text Using Magic Card

English language teachers nowadays are challenged to present interesting and innovative ways of teaching English in order to motivate their students to learn. Magic card can be used as an alternative learning medium toward the students’ ability to write descriptive text. The present study attempts to figure out students’ ability in writing descriptive text utilizing magic card and to describe the students’ perceptions about the use of magic card in writing descriptive text. Therefore, a quantitative descriptive research design was applied. Furthermore, to obtain the data needed, a set of test and questionnaire were administered to 36 participants (29 females and 7 males) of the tenth-grade students. The findings revealed that the total mean of students’ ability was categorized into good criteria (84%). It means that the students’ ability in writing descriptive text is significantly improved. Moreover, the results of questionnaire showed that students like using magic card because magic card is an interesting medium which would make students enjoy in studying, active in writing and creative in thinking. Besides, magic card can enrich students’ vocabulary as it promotes students’ creativity.
Burden of Malaria in Dumka District of Jharkhand, India

Malaria is a major public health problem in India particularly in states having tribal population. Jharkhand state consisted 7% of total malaria cases in India. The objective of this analysis was to find out the burden of malaria in Dumka District, Jharkhand. Method –It was conducted in 10 Blocks of District Dumka, Jharkhand. Convenience sampling technique was used in this study. Data analysis was done from the line-list of District Vector Borne Disease Control Office, Dumka from the year 2016-2020. This was a cross-sectional study. Result – Gradual decline in number of malaria cases was observed during the study period. But a sharp decline in cases were seen in the year 2020 i.e. during Covid-19 pandemic. Male cases were more predominant. Majority of the affected population were tribal in origin. Maximum number of Malaria cases were observed in Blocks like Masalia, Gopikandar and Kathikund. Conclusion- Our analysis showed annual reduction of Malaria cases. Thus existing control programmes can further reduce Malaria burden in Dumka District. Consistent and vigilant surveillance is required. Keywords: Malaria, Plasmodium falciparum, Plasmodium vivax, tribal malaria, Jharkhand, India.
Supplemental Material: Kinematic evolution of the central Andean retroarc thrust belt in northwestern Argentina and implications for coupling between shortening and crustal thickening

Figure S1: Radial plots for AFT samples in the Sierra Alta (Coraya and Yacoraite Valleys). Figure S2: Radial plots for AFT samples from the Tilcara Range, Cianzo area and east side of the Eastern Cordillera.
Can Artificial Intelligence Enhanced Robotic Teaching Assistant Be a Game Changer in Enhancing Classroom Engagement and Learning Among Undergraduate Students in Our Higher Education Institutes?

The author has taught Business and Management courses in four different types of higher education institutes across four separate states in the United and has noticed a common trend among undergraduate students. There is deep reluctance to read academic content and remain engaged in the classroom among a significantly large number of the students. The author would like to examine whether an Artificial Intelligence enhanced “chat-bot” can help improve engagement and improve course performance in classrooms.
Challenges Encountered in the Implementation of the Education Program among Senior High School Students in The Philippines

The K-12 Education Program is a new education curriculum in the Philippines that further develops students' skills and concepts in different strands to prepare them for tertiary education and exhibit competence as lifelong learners; however, its implementation has several drawbacks. Thus, researchers identified and analyzed the typical issues that Sultan Kudarat State University –Laboratory High School SHS students faced in implementing the K-12 Education Program and dealt with those challenges and coping strategies. This study employed the qualitative research design, specifically, the phenomenological approach. Focus group discussion and individual interviews were employed to get the needed data. Based on the study findings, students perceive the new curriculum as a significant burden, with the top challenges of having more years in high school, lack of assistance, and learning facilities. They also agreed on the benefits of the new educational system, which include more knowledge and learning, increased competency, and future career chances. Despite the difficulty adjusting to the K-12 program, they tend to cope with the challenges using various coping strategies such as time management, adjustment, acceptance, peer support, as they are aware of the program's value to their academic advancement. As a result, this research can assist students in preparing for the obstacles they may face in senior high school and recommend possible coping mechanisms.
Data Security in Decentralized Cloud Systems: A Case for the Deployment of Blockchain Technology.

The technological advancement and growth of the cloud computing technologies is changing network service provisioning and operation. Cloud based services represented as XaaS where X refers to service offering such as Platform, Software and Infrastructure as a service, provides flexible on-demand provisioning along with its security concerns that goes with the adoption of the cloud computing. Despite all the advantages of adopting the cloud computing option, the security and privacy of the clients’ data cannot be overlooked. Understanding these security concerns is a fundamental requirement to choosing the cloud solution. This paper focuses on the use of Blockchain technology to mitigate the security challenges of the cloud computing. Literature reviews have discussed other security options for the cloud, but little discussions have centered on the adoption of the Block Chain technology to secure the cloud and open doors for future research of cloud computing using smart contract. Keywords: Blockchain, Distributed Database Systems, Data Integrity, cryptography, Cloud Infrastructure Security, Confidentiality, Distributed Ledger
Barriers in Learning Rhythmic Motion

The purpose of this study was to determine the barriers in learning rhythmic motion in elementary schools.The research method used is descriptive quantitative using a survey method with data collection techniques using a questionnaire.The population of this research is Physical Education Teachers in Yogyakarta, Indonesia.The data analysis technique used descriptive analysis as outlined in percentages.The results showed that the barriers in learning rhythmic motion were based on five aspects, namely the teacher's aspect of 46%, the student's aspect of 55%, facilities and infrastructure 35%, 6% curriculum and 14% environment.
Sistem Monitoring dan Notifikasi Kualitas Udara Dijalan Raya Dengan Platform IOT

Air pollution and air pollution on the highway is a very bad impact on humans because polluted air can cause various kinds of diseases, therefore in this study, a tool was designed that can be used to monitor air quality over long distances, using Wemos. d1 as a liaison between the MQ-135 sensor with the Internet of Things (IoT) platform and the blynk application which is a monitoring system that if the air quality on the highway where many vehicles pass makes air pollution on the highway less healthy so that it threatens the physical health of living things. One of the efforts to overcome air pollution is by measuring the quality of the air on the highway. connected using the IoT platform as an air quality monitoring system by using the internet as a means of providing information presentation about the air quality on the highway. The results of field testing at 2 points in the East Lombok area found that the quality was still moderate where the air quality was in the range of 400-800. But if the air conditioner is Normal, the range is 0-400 and the last is Abnormal air quality, the range is 800 and above.
The Effect of Role Playing Type of Cooperative Model on the Indonesian Learning Outcomes of Elementary Students

This study aims to determine the effect of the role playing type of cooperative model on student learning outcomes in the Indonesian language learning process. This study used experimental research design. Subject of this study are student in fourth grades at Kemantren 1 Elementary School. The researches variables consist of independent variable that is role playing models and lecture methods. Independent variable is the result of learning Indonesian. Students in fourth A grade as an experimental class and Fourth B grade as a control class. The instrument used in this study is the result of learning process. Data analysis techniques for cognitive domain using several steps. They are descriptive analysis, prerequisite test of normality and homogeneity, and hypothesis testing using t-test. The results showed that the role playing model influenced the learning outcomes of Indonesian language in fourth grade students at Kemantren 1 Elementary School. The average Indonesian learning in control class with the lecture method was 67,78 while the Indonesian learning outcomes in experimental class with role playing models was 74,07. Process data analysis of two groups using t-test results obtained t value of 2.896 &gt; t table of 2.006. That is show that there are some influences in learning role playing models toward the result of Indonesian language study.
Students’ Communication Skills Development in Advertisement Contents Through A Communicative Language Approach

This study is designed in attempt (1) to develop English learning in advertisement contents through a communicative language approach to develop achievement with an efficiency of 75/75, (2) to compare the students’ communication skills development between before learning and after learning, and (3) to compare the students’ attitude towards English learning in advertisement contents through a communicative language approach between before learning and after learning. The research tools consisted of 12 lesson plans of advertisement contents, communication assessments for learning English in advertisement contents, and the evaluation of students’ attitude towards English learning in advertisement contents through a communicative language approach. The results of this study indicated that (1) the development of English communication skills teaching method had the efficiency of 81.23/82.34, (2) the students’ development in communication after using English learning in advertisement contents was higher than before statistically at the .05 level of significance, and (3) most participants’ attitude toward English learning in advertisement contents were very satisfied.
Arabic Keywords Extraction using Conventional Neural Network

Keywords provide the reader with a summary of the contents of the document and play a significant role in information retrieval systems, especially in search engine optimization and bibliographic databases. Furthermore keywords help to classify the document into the related topic. Keywords extraction included manual extracting depends on the content of the document or article and the judgment of its author. Manual extracting of keywords is costly, consumes effort and time, and error probability. In this research an automatic Arabic keywords extraction model based on deep learning algorithms is proposed. The model consists of three main steps: preprocessing, feature extraction and classification to classify the document tokens into keyword or not, Conventional Neural Networks (CNN) is used as a classifier.&#x0D; Two types of dataset are building in this research to test the proposed model, the first dataset form Arab Journal for Scientific Publishing (AJSP), the other dataset from Jordan Journal of Social Sciences (JJSS). The experiment results indicate promising results in the field of Arabic keyword extraction; the average accuracy of Conventional Neural Networks is found 0.97 with average precision 0.92.
The challenging journey to floating: How did both the steering of the transition and COVID19 transform the domestic Forex Market in Africa?

This article investigates the impacts of transition process steering and the COVID19 pandemic on domestic forex market behavior. To do so, we conducted a comparative analysis based on various GARCH family models and the case of four African countries which adopted different transition paths from fixed to intermediary and/or floating regimes. Our main empirical result is that smooth and gradual transition allows for a better adaptation of the domestic market actors, resulting in improved liquidity management and shocks absorption than countries with forced regime switch. We also notice a significant fallout from the COVID19 pandemic on economies where the regime transition was abrupt as the domestic forex market became more sensitive to endogenous factors. Finally, we presented critical policy implications and some suggestions for future studies.
System-Parametric Analysis of a Creative Person: New Facets of Comprehension

The article considers possible issues connected with using contemporary systematic methods in studying human existence during the crisis stages of life. We suggest that the role of science, art and culture in human life be considered as a way to overcome crises. The system-parametric method developed by Avenir Uyemov allows us to explore the nature of human creativity. This method is based on the dual definition of a system, which may represent any object. When an object is defined, the concept, structure and substrate can be identified. This hierarchy constitutes integrity in the system. The use of such a system-parametric method in studying an object provides new perspectives, especially when it comes to arts and humanities. This paper endeavors to characterize the “creative human” system. The definitions of the “creative human” system used herein indicate that the two definitions are different, but yet still meet the complementarity principle. Both systems are characterized using first-order parameters (concept, structure, and substrate). For an in-depth analysis, we can use second-order parameters: attributive and relational. In this study five attributive second-order system parameters were used to characterize “creative human” systems.
Law, Politics and Leadership in Contemporary Africa – An Examination of Facts

Every society need to deal with legal matters, solve political and leadership problems, and, because of the nature of legal, political and leadership tasks as daunting issues, a scholarly solicitor and/or advocacy approach may be very necessary to prevent disputes and prosecution problems of leadership issue in Africa. Corruption and Fraud has been an endemic issue in the global political affairs for ages, and recently cybercrime has joined the litany of the cankerworm that impede success of democracy and development and social tranquility of nations, especially arising from electoral issue fraud. To control and manage human resource capital, in relation to stock of or supply of mineral resources, material and financial, money, and other assets that can be drawn on by a person, organization or state, to establish an effective and viable economy, individuals, organizations and governments need to maintain true leadership principles and political order that follow rules of law. It is a fact that Africa as a part of the world, especially in the new global politics tries to align to the protection of its environment against corruption and fraud. This study examines the level, and the indices of corruption and fraud in relation to true leadership principles and political order that follow rules of law in Africa. Primary and secondary data were used in this research, which aims at discovering appropriate measures to squarely or effectively address crimes related to misuse of political and leadership powers and corruption, economic fraud and cybercrime in Africa. Binary logistic regression and chi-square were applied. The findings reveal that economic development, politics, democracy and rule of law has a nexus to addressing the complex nature of entrenching true democracy; fighting corruption, fraud, and cybercrime in individual, organization, and government. The findings further indicate that coordinated and coherent academic/intellectual crossroad crusade is what is needed/required to restore Africa to glory land. Keywords: Law, Politics, Leadership, Contemporary Africa, Corruption, Fraud, Cybercrime, Economic Development Proceedings Reference Format