Reviewerly/exHarmony huggingface dataset:
USE OF ENGLISH IN IMUN (INTERNATIONAL MODEL UNITED NATIONS)

English is an international language that needs to be mastered by people who want to connect with other people from all over the world. Studying at a school or course institution is not enough to facilitate someone in speaking English quickly. There must be direct communication that is done to improve speaking skills. One of the international organizations that gives a person free space to use English is IMUN (International Model United Nations). IMUN is a simulation forum for the UN session that aims to mobilize young people from all over the world to express their opinions on international issues, which ultimately seeks to find a solution to a series of existing problems. This study's objective is to investigate English use in IMUN. The researchers use the descriptive qualitative method with the participation method as the primary data, and the screen captures of video or photo method to obtain additional data. One of the author's direct involvements in the Internship at IMUN (Campus Ambassador) and the simulation of the UN session (Online Conference) reinforce the fact that IMUN is truly an international organization that can be used as a forum to improve English language skills. With those experiences, the participants can improve their English skills quickly.
An integrated neural network model for eye-tracking during human-computer interaction

Improving the efficiency of human-computer interaction is one of the critical goals of intelligent aircraft cockpit research. The gaze interaction control method can vastly reduce the manual operation of operators and improve the intellectual level of human-computer interaction. Eye-tracking is the basis of sight interaction, so the performance of eye-tracking will directly affect the outcome of gaze interaction. This paper presents an eye-tracking method suitable for human-computer interaction in an aircraft cockpit, which can now estimate the gaze position of operators on multiple screens based on face images. We use a multi-camera system to capture facial images, so that operators are not limited by the angle of head rotation. To improve the accuracy of gaze estimation, we have constructed a hybrid network. One branch uses the transformer framework to extract the global features of the face images; the other branch uses a convolutional neural network structure to extract the local features of the face images. Finally, the extracted features of the two branches are fused for eye-tracking. The experimental results show that the proposed method not only solves the problem of limited head movement for operators but also improves the accuracy of gaze estimation. In addition, our method has a capture rate of more than 80% for targets of different sizes, which is better than the other compared models.
Measuring the Effect of Total Injection Elements on Economic Growth in Iraq for the Period (2004-2020) Using the Error Correction Model

Purpose: The paper aims to measure the impact of the dynamic relationship between the elements of total injection (private investment spending, comic spending, exports) on the one hand and the GDP growth rate that expresses economic growthusing the ARDL model. Theoretical framework: The elements of total injection are one of the main components of total demand: private investment spending, government spending, and exports. Private spending is one of the main activities that play an essential role in the country's economic development Government spending is one of the most crucial fiscal policy tools used by the government to influence and stimulate economic activity. Good export performance is an essential indicator of that government's foreign trade. All these elements significantly impact economic activity by producing and employing these elements in GDP and its growth. Design/methodology/approach: To test the hypothesis that there is a direct relationship between the elements of total injection and GDP growth. Quarterly data were used for the duration of (2004-2020). Findings: The results of the non-tests showed a common complementarity and a long-term equilibrium relationship between the total injection and the rate of economic growth. Therefore the results of the models proved the validity of the paper's hypothesis. Research, Practical &amp; Social implications: the article suggested the need for the government to support the private sector, build complementary relations with it, restructure government spending and seek to increase its productivity to achieve financial returns. Originality/value: The research provides the government with support to the private sector, building complementary relations with it, restructuring government spending, and striving to increase its productivity to achieve financial returns from it, in addition to the need to diversify the economy and try to get rid of the unilateral economy.
Development of Facilitator Capacity of Culture and Arts Education Mediators

본 연구는 문화예술교육 매개자의 퍼실리테이터로서 갖춰야 할 의미와 역할을 사례를 통해 탐색하는데 목적이 있다. 문화예술교육자가 교육함에 있어 수행하는 퍼실리테이터의 의미와 가치를 살펴보고 이에 따른 역량을 규명함으로써 향후 문화예술교육자의 학습 효율성을 도모할 수 있는 교육자의 역할에 대한 시사점을 제공하고자 한다. 이를 위해 질적 사례연구방법을 적용하여 충남 공주지역 문화예술매개자의 퍼실리테이터 양성과정 수료자 6명을 대상으로 심층면담을 진행한 내용을 반복적 비교분석법으로 의미와 역할에 대해 분석하였다. 그 결과 첫째, 문화예술교육 매개자의 퍼실리테이터로서의 의미는 융합교육 실천, 다양한 상호작용, 능동적 참여유발, 과정중심의 교육으로 나타났다. 둘째, 문화예술교육 퍼실리테이터의 역할은 촉진자, 갈등중재자, 중립자의 역할로 나타났다. 문화예술교육 매개자가 퍼실리테이터로의 역량을 지속하기 위해서는 네트워킹을 통한 자조 모임 구성, 연구체계 마련, 역량강화 교육 등 교육공동체를 구성하여 문화예술교육 생태계 조성이 뒷받침될 필요가 있다. The purpose of this study is to explore the meaning and role to be equipped as a facilitator of cultural arts education mediator through examples. The purpose of this study is to examine the role, meaning, and value of cultural arts educators as facilitators in educating. By identifying the capabilities of facilitators, this study intends to provide implications for the role of educators who can promote the learning efficiency of arts and cultural educators in the future. To this end, in-depth interviews were conducted with six people who had completed the facilitator training course of cultural art mediators in Gongju, Chungcheongnam-do by applying a qualitative case study method. The contents collected through the interviews were analyzed for their meaning and role through an iterative comparative analysis method. As a result, first, the meaning of a facilitator as a mediator of cultural arts education was found to be convergence education practice, various interactions, active participation induction, and process-oriented education. Second, the role of the cultural arts education facilitator appeared to be that of a facilitator, conflict mediator, and neutral. In order for cultural arts education mediators to continue their capacity as facilitators, it is necessary to create a culture and arts education ecosystem by forming an educational community such as organizing self-help groups through networking, preparing a research system, and education for strengthening competence.
MULTIMODAL PERSON RE-IDENTIFICATION IN AERIAL IMAGERY BASED ON CONDITIONAL ADVERSARIAL NETWORKS

Abstract. Person Re-Identification (Re-ID) is the task of matching the same person in multiple images captured by different cameras. Recently deep learning-based Re-ID algorithms demonstrated an exciting progress for terrestrial-based cameras, still, person Re-ID in aerial images poses multiple challenges including occlusion of human feature parts, image distortion, and dynamic camera location. In this paper, we propose a new Person Aerial Re-ID framework Robust to Occlusion and Thermal imagery (ParrotGAN). Our model is focused on cross-modality person Re-ID in aerial images. Furthermore, we collected a new large-scale synthetic multimodal AerialReID dataset with 30k images and 137 person ID. Our ParrotGAN model leverages two strategies to achieve robust performance in the task of person Re-ID in thermal and visible range. Firstly, we use a latent space of StyleGAN2 model to estimate the distance between two images of a person. Specifically, we project each real image into the latent space with a correspondent latent vector z. We use the distance between latent vectors to provide a Re-ID similarity metric. Secondly, we use a generative-adversarial network to translate a color image to a synthetic thermal image. We use synthetic image for a cross-modality Re-ID. We evaluate our ParrotGAN model and basleines on our AerialReID and PRAI-1581 datasets. The results of the evaluation are encouraging and demonstrate that our ParrotGAN model competes with baselines in visible range aerial person Re-ID and outperforms them in the cross-modality setting. We made our code and dataset publicly available.
Examining the Impact of Covid-19 Pandemic on Jordan's Tourism Industry: Income, Expenditures, and Revenues

Purpose: The worldwide COVID-19 pandemic will undoubtedly harm the world economy, according to the majority of economists, even though it is impossible to estimate the economic harm it will cause. This paper examines the Corona pandemic's economic effects on Jordan's tourism industry. Theoretical Framework: In light of the changes that the world went through as a result of the Corona pandemic and its economic and social repercussions on most countries of the world, The industry of tourism and travel has been devastated by the Corona pandemic to a much greater extent than previous studies have suggested, and the recovery process is taking longer than the anticipated 10-month average recovery time. In order to ensure the expansion of the tourism sector's operational sustainability and capacity, both private and government procedures support needs to be coordinated. Design/methodology/approach: By studying the monthly tourism income and the variables affecting it, such as the number of travelers coming to Jordanian airports, the number of booked hotel rooms, the number of overnight tourists and one-day visitors, and tourism spending, which is mainly affected by the number of Jordanians leaving the country for tourism purposes, using monthly data for the period from 2017 to the end of 2020. Findings: The study showed the enormous effects of the Corona crisis on the tourism sector, as tourism income decreased by more than From 3 billion JOD, and the rate of decline in tourism income and spending for the year 2020 was more than 70% which resulted from a decrease in all variables affecting them at high rates that reached 100% in some months that witnessed complete closures. Research, Practical &amp; Social implications: This paper Focus on the tourism industry sectors. The Chow Breakpoint test was applied to look at the crisis's starting point and determine whether there was a structural change. In this test, the data was split into two sub-samples (pre-crisis from 1/2017 to 2/2020 and the second period from 3/2020 to 12/2020) in order to see if there were any significant differences between the two periods, which determine whether there is a structural change or not. The test contrasts the squared remainders of each subsample equation and the entire sample equation. Originality/value: A disease known as Corona (COVID-19) has recently taken over the world. As a result of industrial closure projects, this disease has forced changes in the industry's performance and operations, adding to the study's originality and raising important questions about its recovery implications. About Jordan's tourism industry. The knowledge gap between economic science and the general public is characterized and critically analyzed in this paper after COVID-19.
Perceptions of Didactic Strategies among Pupils and Teachers in Primary School

The quality of educational work is inextricably linked to many factors at the system, school, teacher, and student levels. This research was carried out within the project ‘Education of Teachers as a Factor of Providing High-quality Life-long Learning in the Learning Society/The Society of Fast Socio-economic Changes and Unsure Future’, funded by the Slovenian Research Agency. This paper provides a basic overview of the characteristics of open instruction, an umbrella term that combines active and learner-centred didactic strategies. The empirical section focuses on the use of didactic strategies. The survey was carried out with 1,536 primary school[1] pupils in Grades 7 and 9 and 263 of their teachers. Both pupils and teachers cited problem-based learning and research-based learning as the most commonly used didactic strategies, while project-based learning was the least frequently used. Despite the agreement on the most and least frequently used didactic strategies, there are statistically significant differences between pupils’ and teachers’ perceptions of all selected didactic strategies. Teachers reported that they used these strategies more often than was perceived by their pupils. We also found a statistically significant impact of better learning performance on the perception of certain didactic strategies. The results of the study raise new research questions, especially in the design of more detailed analyses of the use of didactic strategies in pedagogical practice.&#x0D; &#x0D; [1] Slovenian basic education lasts nine years. Students enter primary school at the age of 6 and complete it at the age of 15.
ANALYSIS OF ELEMENTARY STUDENTS’ PUBLIC SPEAKING SKILLS

This paper describes students' public speaking skills and barriers, and its solution. The research used a qualitative descriptive approach and data collection techniques used interviews, observations, and documentation. It was conducted for students in Class VI at one of the private elementary schools in Malang. The results of students' public speaking skills in elementary school are still low. The test results show that 61.3% of students still did not complete KKM score (77). Internal factors come from a lack of self-confidence and lack of courage in expressing ideas when public speaking, difficulty in choosing appropriate and correct words in Indonesian, and difficulty to express opinions or ideas in speaking. External factors are the community's living environment (local language use) that influences students' skills to speak.
The Implementation of Think-Pair-Share Technique to Increase Students’active Involvement in Their Speaking Ability

This research was conducted to increase students’active involvement in their speaking ability by using the Think-Pair-Share Technique. The researcher wanted to find out whether or not Think-Pair-Share Technique can increase the students speaking skill and to analyze the classroom situation when the Think-Pair-Share Technique is implemented in speaking class. This research used Classroom Action Research (CAR) and composed for two or more cycles then it observed and evaluated to identify all facts including the success and the failure of the action. It means that the action should be stopped or continued and revised to the next cycle based on the selected criteria of success. After the implementation of Think-Pair-Share Technique in every cycle, the students’ speaking score were getting better. It can be seen from the result of students averagescore Cycle 1 was 65.17 and Cycle 2 was 74.81. It can be concluded that Think-Pair-Share Technique canincrease students’active involvement in their speaking ability.
PROJECT BASED LEARNING AND ITS ROLE IN THE PROCESS OF TRAINING FUTURE PROFESSIONAL LEADERS IN UKRAINIAN TECHNICAL UNIVERSITIES

Absrtact: the article is devoted to the problem of training future professional leaders of various specialties as organizers of the scientific, technical and social revival of Ukraine. The study found that it is expedient to organize the training of such leaders in engineering higher education institutions, which is especially important in the context of russia's aggression against Ukraine. The analysis of literary sources has shown that the key problems of modern social progress are related to leadership, competitive strategies, and a creative approach to teaching in higher education using innovative learning technologies. An experiment was conducted on the application of problem-based learning technology in the process of training future specialists-leaders at the National Technical University “Kharkiv Polytechnic Institute”. The article presents a number of factors that determine the feasibility of using various forms of problem-based learning in combination with other interactive technologies to solve the problem of improving the quality of training of leaders-specialists in various specialties.
The Relationship Between Green Management Commitment and Effectiveness of Occupational Safety and Health Committee

Purpose: The aim of this research is to determine the factors that drive effectiveness of occupational safety and health committee and to identify factors that influence the effectiveness of occupational safety and health committee. Theoretical Framework: The theoretical framework is adapted from two framework model. The first framework model were adapted from Ummu Kalsome Farouk (2016) study, where the aim is to determine the factors that influence the effectiveness of occupational safety and health committee (OSHC) in certain area such as manufacturing. The second framework model were adapted from Irwan Ibrahim et.al (2018) study, where the aim is to determine the factors that influence reverse logistic performance in logistics area. Design/methodology/approach: The analysed factors are passive management commitment, active management commitment, and environment awareness and attitudes. In this study, quantitative research was used which involved the distribution of questionnaires to 129 Malaysia pharmaceutical companies. The data were analysed using Statistical Package for Social Science (SPSS) Version 23. Furthermore, the results were analysed using reliability analysis, descriptive analysis, Pearson Correlation Analysis and Multiple Regression Analysis. Findings: The findings revealed that all variables used in this study were positively correlated to employee retention. In addition, the result found out that passive management commitment had the most influence on effectiveness of occupational safety and health committee (OSHC) in Malaysia pharmaceutical companies. Research, Practical &amp; Social Implications : From researcher observation, the green management commitment is a success if these factors are being implemented by Malaysia pharmaceutical companies, because all the three independent variables which is passive management commitment, active management commitment, and environment awareness and attitudes, have a positive relationship with the dependent variables which is effectiveness of occupational safety and health (OSHC). Originality/Value: This study may give valuable information to the researcher, other organizations and the business management personnel which is useful for basic knowledge on green management Mokhlis et al., (2021) commitment and occupational safety and health.
An overview of energy management using fuzzy cognitive maps

Soft computing, especially fuzzy cognitive maps (FCMs), has become increasingly applicable to energy management and policy-making. In recent decades, there has been a worldwide effort to minimize energy consumption and manage energy flow in private and public buildings. We present a critical overview of today’s applications of FCM-based methods in the energy domain. We analyzed FCM methods related to energy planning, efficiency, sustainability, transition, forecasting, energy policy, and scenario analysis. We highlight FCM's applicability in the energy domain, especially its contribution to the academic and research communities. Specific drawbacks and limitations were identified while using FCM methods on several challenging applications, primarily when learning algorithms are used. A new approach addressing these issues is provided and defined as the advanced fuzzy cognitive maps (AFCM) approach. These drawbacks are considered when providing future research challenges of FCMs for building energy management and efficiency. Finally, research gaps are identified, and we suggest solutions, especially AFCM is advanced fuzzy cognitive maps.
Development of Interactive Media Based on Adobe Animate Creative Cloud to Improve Student Learning Outcomes

The objectives of the research were (1) to produce interactive learning media based on Adobe Animate Creative Cloud for Social Studies class IV at Amaliyah Sunggal Private Elementary School, the sub-theme of the beauty of the cultural diversity of my country which was developed to be suitable for use as learning media, (2) to produce the use of Adobe-based interactive learning media. Animate creative cloud on social studies subjects in class IV Amaliyah Sunggal Private Elementary School on the sub-theme of the beauty of the diversity of my country which was developed effectively to improve learning outcomes. The research method uses research and development. Subjects were material expert validators, media experts, instructional media design experts, linguists, teachers and twenty five students. Product development is evaluated using a questionnaire. The results of the evaluation of the test subjects were analyzed descriptively qualitatively. The development model used in this study is the Thiagarajan model, known as the Four-D (4-D Model). The results showed that social studies interactive learning media based on Adobe Animate Creative Cloud in class IV Amaliyah Sunggal Private Elementary School was appropriate and effective for improving student learning outcomes in learning the theme of the beauty of the diversity of my country.
Escapism Towards the Surreal Arena in Negeri Senja

“Negeri Senja” tells the story of a country that never has morning, noon, or night because there is only dusk every day. The surreal arena built into the story brings anxiety during the reading process even to the end of the open ending. The problems in this novel are framed textually. This research aims to express these concerns based on textual analysis of the novel “Negeri Senja” by Seno Gumira Ajidarma. The research method used is literary psychology, specifically Carl Gustav Jung's psychoanalysis of consciousness and unconsciousness. Content and discussion are presented in the form of qualitative descriptive analysis. The results of the textual study show that the main character in the story is undergoing a process of escapism or attitude that avoids reality and avoids all difficulties. The surreal arena in the form of “Negeri Senja” is interpreted as the center of the main character's escapism so that all reading concerns can be explained.
Interpretable Stratification for Chronic Kidney Disease Progression Based on Time to Event Analysis.

In Chronic Kidney Disease (CKD), kidneys are damaged and lose their ability to filter blood, leading to a plethora of health consequences that end up in dialysis. Despite its prevalence, CKD goes often undetected at early stages. In order to better understand disease progression, we stratified patients with CKD by considering the time to dialysis from diagnosis of early CKD (stages 1 or 2). To achieve this, we first reduced the number of clinical features in a predictive time-to-dialysis model and identified the top important features on a cohort of ∼ 40, 000 CKD patients. The extracted features were used to stratify a subpopulation of 3, 522 patients that showed anemia and were prescribed for cardiovascular-related drugs and progressed faster to dialysis. On the other side, clustering patients using conventional clustering methods based on their clinical features did not allow such clear interpretation to identify the main factors for leading fast progression to dialysis. To our knowledge this is the first study extracting interpretable features for stratifying a cohort of early CKD patients using time-to-event analysis which could help prevention and the development of new treatments.