Reviewerly/exHarmony huggingface dataset:
Determination of Temperature Distribution of Rohri, Sindh using Artificial Neural Network and Regression Analysis

As time passes, the world is facing the problem of global warming, which results in a rise in average daily temperature. Proper knowledge of temperature distribution and future prediction may help to cope with the situation in the near future. Climate forecasting has gone through various faces; in the early days’ people used to predict the behavior qualitatively. Now environmental scientists have developed a quantitative method for forest climate behavior with certain uncertainties. Empirical models have been developed based on regression analysis to estimate temperature distribution. Two models, linear and non linear, use dew point temperature and relative humidity as independent variables. In addition to regression analysis, Artificial Neural Network (ANN) has been utilized to predict the average daily temperatures of Rohri Sindh, a city in Pakistan in the Sindh province. Both empirical models and ANN estimates are in good agreement with the known values of average daily temperatures.
Ways to Reduce the Duration of Study at the University

At present, periods of technological change are becoming comparable to the duration of education in higher education. Therefore, along with the need to use the concept of lifelong education, there is a need to reduce the duration of obtaining basic higher education. Analysis and identification of possible ways to reduce the duration of study at a university while maintaining the required level of graduates' education is the subject of this article. The methodological basis of the work is the integration and generalization of previous studies to improve the effectiveness of training. The article discusses in detail the following complementary ways: changing the content of education and the use of new, more effective teaching methods. It is shown that the reduction of overall time of studying in university while maintaining the required level of education can only be achieved by the joint application of various approaches. The following complementary ways are proposed: changing (optimizing) the content of basic professional knowledge, using more effective teaching methods and individualized learning, reducing auxiliary (transactional) costs for students and increasing the level of motivation of students. More effective teaching methods, in particular, involve improving the lecture system, monitoring progress, and optimizing the speed of introducing new material in group classes. Taking into account the concept of continuous education, a certain fundamental educational background obtained at the university can subsequently be supplemented with short-term modules in the course of additional professional education.
Tasks on the topic «Artificial Intelligence» in School Informatics

Artificial intelligence is a branch of computer science in which programs are written and devices are created that imitate the intellectual functions of a person. These programs and devices are used in a variety of areas, such as technology, science, art, games, medicine, commerce, finance, education. If the disciplines with the names «Fundamentals of Artificial Intelligence», «Intelligent Information Systems», «Data Mining» and «Machine Learning» are already included in the standards of higher education, then artificial intelligence is not considered at school, neither at the theoretical level, nor at the practical level. Therefore, the subject of this research is the content of the topic «Artificial Intelligence» in the school course of computer science. As a result of a theoretical analysis of school and university educational standards and teaching aids, as well as observation of learning, a positive answer was received to the question of the possibility of studying the topic «Artificial Intelligence» in the school course of computer science. It turned out that from this complex topic, you can choose tasks that, after simplification and adaptation, will be interesting and accessible to schoolchildren. In the article, for example, four such tasks are given, namely, clustering, classification, recognition and control. Their solution allows not only to introduce students to a new and promising area of informatics, but also brings learning closer to the activities of a scientist, and therefore develops their intelligence.
A Study on the Development of the Community Linkage Extracurricular Program Based on Engaged Learning: Focused on international students at S University

This study designs and presents a community-linked sociocultural education program based on S University's Engaged Learning for international students. The extracurricular programs for international students were classified into college adaptation, language ability improvement, cultural adaptation, academic promotion, career and employment, and psychological support. Through this, it was found that the types that need to be supplemented in S University's extracurricular programs are cultural adaptation and career and employment. A participatory extracurricular program related to cultural adaptation was designed as one of the methods to compensate for this. A participatory extracurricular program consists of Flip Learning, Digital Literacy, Team-Based Learning, and Teacher Modeling Classes based on S University's Engaged Learning. This study is significant in that it links the extracurricular activities of international students to communities based on Engaged learning.
Kim Seok-joo's Literary Study of the Gonganpa

The purpose of this study is to trace the traces of Sik-am Kim Seok-ju's acceptance and enjoyment of Gonganpa literature. The literature of the Gonganpa emerged in the middle of the Ming Dynasty, criticizing the Uigopa. The literature of the Kongan School, which insisted on expressing individual emotions naturally, had a great influence on the literary world in the late Joseon Dynasty. The research method is to analyze data in the field of poetry and prose related to the literature of the Kongan sect among Kim Seok-ju's activities. Kim Seok-joo published an anthology called Geumbeomjip, which was a compilation of the works of Gonganpa literati, and described a prose work called &lt;Yewagapgi&gt;, in which Chuang-tzu's thought was deeply revealed. This study analyzed Kim Seok-joo's literary theories centering on the above two data. As a result of the study, it can be evaluated that Kim Seok-ju played a key role in introducing Gonganpa literature to Joseon, and also contributed to enabling the Silhak literary style in the late Joseon Dynasty.
A Study on Convergence Culture and Arts Education Based on Creative Collaboration

The revolution in science and technology in the 21st century has brought about great changes in human life, and demands for innovation in the paradigm of education. Convergence culture and arts education, which aims for non-genre art works, media convergence, creative problem-solving ability, and holistic education, reflects it. However in terms of practice, important issues such as active communication and cooperation of each member remain. This study aims to help the practice of convergence culture and arts education by seeking a plan for convergence culture and arts education based on creative collaboration. For this purpose, this study derives the meaning and nature of creative collaboration and analyzes the meaning, character, and practical problems of convergence culture and arts education. After all, the characteristics and plans of convergence cultural arts education based on creative collaboration, and practical examples were presented to make it a more specific and practical study.
ICT Utilization Variables and Gender Differences in Predicting Science Achievement and Global Competency by Randomforest

The study analyzed the difference in ICT competency between genders as a predictive variable for science achievement and global competence using PISA 2018 data. By examining the influence of gender as a predictive variable, the study also investigated differences by gender in ICT education. In this study, ICT competency was set as an independent variable and science achievement and global competence as dependent variables in order to more accurately distinguish the predictive differences between ICT competencies and provide objective results as guidance for improving students' ICT utilization in different situations. The PISA data released to date does not reflect changes due to the COVID-19 situation. Based on the results of this study, analyzing the results reflecting the COVID-19 situation will be suggested as a future research topic. The study used the random forest analysis method and partial dependence plots to confirm feature importance and static/non-static effects. The results were visualized to facilitate analysis of the differences using data visualization materials.
Suggestions on the Method of Poetry Creative Education for the Scalability of Korean Poetry

The purpose of this study is to propose a poetry creation education plan for the scalability of Korean poetry by presenting a plan to implement narrative and build convergence content for Korean poetry as a way to overcome the limitations of translation of Korean poetry. This is because Korean poetry considered that translation is much more difficult than other genres, and recognized the limitations and necessity of the poetry’s creative education method to realize the scalability of “K-Poetry” in the field of creative creation and creative education. For this reason, it was inspired by the expression method of K-culture, which is popular around the world, in how to build it as a convergence content for the leap and scalability of Korean poetry, and presented it as the third stage of poetry creation education. In the future, we hope that the convergence content that breathes the breath of a new narrative into Korean poetry will actually realize the scalability of “K-Poetry” through an online digital platform based on YouTube and metaverse.
A Case Study on Teaching Korean Literature for Master's Course Korean Language Teachers Using TBL

This study aims to develop literature and culture for prospective Korean language teachers through the design, execution, and analysis of classes that apply team-based learning (TBL) to lectures on Korean literature education for foreigners, which is a major subject in the master's course in Korean education as a foreign language at the Graduate School of International Studies. Its purpose is to present a practical plan for education. TBL was used as a way to cultivate and strengthen the teaching-learning capacity in terms of the fact that the practical aspect should be considered together with the intellectual aspect and the competency-based curriculum. As a result of class operation, students showed satisfaction and academic achievement in systematic team-based learning, and in the process of carrying out TBL, problem-solving ability as a teacher or practical ability related to the educational field was strengthened. However, more detailed design will be needed for the amount of tasks and the degree of instructor's involvement.
A Study on Student Opinion Survey in the Basic Liberal Arts Area of the Liberal Arts Curriculum: Focused on Humanities and Sciences

The purpose of this study is to develop and conduct a student opinion survey on the humanities and sciences of basic liberal arts in the liberal arts curriculum of K University, and to identify the operation status based on the analysis results, and to discuss future educational directions and improvement plans. These subjects are required areas and are encouraged to be taken by first-year students as credits for graduation. In order to develop this student opinion survey, in the second semester of 2022, the liberal arts education student monitoring group took the lead to case studies and the survey development. After that, the survey was conducted and the results were analyzed to confirm the operation status of the area and subject opening, class/test difficulty, and course application, and constructive improvement plans were derived. Through this study, it will be possible to confirm students' awareness of the current state of the humanities and sciences of the basic liberal arts and to seek ways to improve the quality of the liberal arts curriculum.
Current Status and Prospects of Korean Studies Education in China

The purpose of this study is to review the current status of Korean studies education and research in China and to seek the direction of development of Korean studies education and research in China. Although Korea and China are geographically close, the discussion began in that it is necessary to examine the problems and the direction of continuous development of Korean studies in China at a time when research and education related to Korean studies in China are shrinking due to recent problems. This paper first reviewed the opening status of Korean language departments in China, and then examined the opening status of graduate schools related to Korean studies and the establishment status of research institutes related to Korean studies. Through various considerations related to Korean studies, it has pointed out the problems that have emerged in the development process of Korean studies in China so far.
The Effect of Resistance Exercise using Props on Development of Health-Related Physical Fitness and FMS(Functional Movement Screen) Score of Middle-age Women

The purpose of this study was to investigate the effect of props resistance exercise program on health-related fitness and FMS score in middle-age women. Subjects were women aged 30-65 living in C-City. The exercise group participating in the props resistance exercise program performed 60minute exercise 3times a week for 12weeks and the control group performed the exercise as usual. Data collection quantified health-related physical fitness and FMS score before and after exercise. The collected data was calculated using the SPSS 26.0 version program. A paired t-test was conducted to differences within the group. And one-way ANOVA was conducted to differences between groups. The results obtained in this study are as follows. First, the change in all factors of health-related physical fitness before and after exercise in the props resistance exercise group were statistically significant (p.05SUP*/SUP, p.01SUP**/SUP, p.001SUP***/SUP). Second, the change in Hurdle step, Rotary stability, total score of FMS before and after exercise in the props resistance exercise group were statistically significant (p.05SUP*/SUP, p.001SUP***/SUP). Finally, there was a statistically significant difference between the groups only in the fat% and Hurdle step(p.05SUP*/SUP). In conclusion, if an exercise program suitable for the characteristics of middle-age women is designed, it will have a positive effect on health-related physical fitness and FMS score, which will help prevent physical aging.
impact of the Covid-19 pandemic on teaching and learning Business English:

This paper explores the impact of the Covid-19 pandemic on the effectiveness of face-to-face, online and the combination of both modalities in the teaching and learning of Business English, which is a discipline included in the English for Specific Purposes approach, known by its acronym ESP. In order to determine the differences between these two modalities, I created a questionnaire to gather information from fourth-year undergraduate students of Business Administration and Management from the University of Barcelona, and also from teachers who have taught Business English and other modes of English language teaching. This research analyzes the benefits and pitfalls of traditional and virtual classrooms, and emphasizes that the meeting of these two modalities affects not only student-teacher communication but also the performance of exams, tasks, oral presentations and practical exercises. The results of the questionnaire may elucidate whether the two modalities are compatible and to what extent merging them will enhance teachers’ performance and will strengthen learners’ knowledge of the target language.
Senegal

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 60, Issue 1 p. 24160B-24160B Policy and Practice Senegal First published: 13 March 2023 https://doi.org/10.1111/j.1467-6346.2023.10970.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume60, Issue1March 2023Pages 24160B-24160B RelatedInformation
From Books to Knowledge Graphs

The digital transformation of the scientific publishing industry has led to dramatic improvements in content discoverability and information analytics. Unfortunately, these improvements have not been uniform across research areas. The scientific literature in the arts, humanities and social sciences (AHSS) still lags behind, in part due to the scale of analog backlogs, the persisting importance of national languages, and a publisher ecosystem made of many, small or medium enterprises. We propose a bottom-up approach to support publishers in creating and maintaining their own publication knowledge graphs in the open domain. We do so by releasing a pipeline able to extract structured information from the bibliographies and indexes of AHSS publications, disambiguate, normalize and export it as linked data. We test the proposed pipeline on Brill's Classics collection, and release an implementation in open source for further use and improvement.
Comparison of Naïve Bayes and K-Nearest Neighbor for DKI Jakarta Air Pollution Standard Index Classification

Data mining is the process of extracting and searching for useful knowledge and information using certain algorithms or methods according to knowledge or information. The data mining classification methods used in this study are Naïve Bayes and K-Nearest Neighbor. By using the Naïve Bayes and K-Nearest Neighbor methods, it is possible to classify the DKI Jakarta air pollution standard index in 2021 based on six air pollutants, namely dust particles (PM10), dust particles (PM2.5), sulfur dioxide (SO2), carbon monoxide. (CO), ozone (O3) and nitrogen dioxide (NO2). The test was carried out to determine the accuracy in predicting the DKI Jakarta air pollution standard index in 2021 using the confusion matrix evaluation value. So that the best performance of the two methods is found in the Naïve Bayes algorithm with high Naïve Bayes sensitivity values ​​for all categories even though there are data in minority or unbalanced categories, and the frequency of data from each category or in this case the data is not balanced, the Naïve Bayes algorithm shows good performance in accuracy, sensitivity, specificity.
Multivariate Adaptive Regression Spline Method for Study Timeliness of the 2017 FMIPA UNP Student

The punctuality of study is the time period to complete an education, for undergraduate students is 4 years. One of the quality’s determining of higher education is students’ ability to complete their education on time. The purpose of this study is to see the best modeling results and the accuracy of the punctuality of study of class 2017 FMIPA UNP undergraduate students using MARS. MARS is a method of multivariate nonparametric regression between response variables and predictor variables. The type of research used is applied research. The predictor variables used in this study are Grade Point Average (GPA), gender, university entrance, major, school origin status and place of origin. While the response variable is punctuality of learning time. The results of trial and error showed that the best model was obtained from a combination (BF = 18, MI = 3 and MO = 2), with a minimum GCV value of 0.23182 and R2 value of 0.10045. From the model, it can be seen that the factors that significantly affect punctuality of learning time for FMIPA UNP students class 2017 are the X4 (majors) with an importance level of 100%, the X1 (GPA) with an importance level of 96.61%, X3 (university entrance) and the X5 (school origin status) with an importance level of 16.78 %. The classification accuracy on the 2017 student study timeliness is 64% based on graduating on time and not on time, with a classification error rate of 36%.
Comparison of Naive Bayes Method and Binary Logistics Regression on Classification of Social Assistance Recipients Program Keluarga Harapan (PKH)

Population density is one of the causes of economic inequality in society. One of the solutions provided by the government is to distribute social assistance. In 2007 the government created a social assistance program called the “Program Keluarga Harapan” (PKH) with the aim of alleviating poverty. There are several problems in the distribution of social assistance, one of which is receiving aid that is not right on target. Therefore, an appropriate method is needed in classifying the recipients of social assistance properly. This study will use two methods, namely Naive Bayes and Binary Logistic Regression to compare which method is better on the data used. The data used is the DTKS data for PKH assistance recipients in the Anduring Village in 2020. Based on the results obtained, the accuracy of the Naive Bayes method is 70% and Binary Logistic Regression is 73%. So the best method in measuring classification is Binary Logistic Regression.
Comparison of the Performance of the K-Means and K-Medoids Algorithms in Grouping Regencies/Cities in Sumatera Based on Poverty Indicators

K-Means is a non-hierarchical approach that separates data into a number of groups according on how far an object is from the closest centroid. K-Medoids is a non-hierarchical clustering technique that separates data into a number of groups according on how far away an object is from the closest medoid. The two approaches were put to the test using data on poverty in Sumatra in 2021, when the Covid-19 outbreak had caused the poverty rate to increase from the year before. This research is an applied research which begins by studying relevant theories. The data used in this study is secondary data sources from the BPS website regarding poverty indicators. This study aims to determine regional groups and compare the results of grouping with the k-means and k-medoids methods. To find out the best performance between the two methods, that is by looking at the lowest Davies Bouldin Index (DBI). The results of this study are the k-means algorithm produces as many as 34 districts/cities incorporated in cluster 1, 52 districts/cities in cluster 2, 23 districts/cities in cluster 3, and 45 districts/cities in cluster 4. k-medoids, namely in clusters 1, 2, 3, and 4, respectively, as many as 53, 40, 37, and 24 districts/cities. Based on the results of the grouping, the DBI k-means of 1,584 and k-medoids of 2,359 were obtained. This means that the k-means algorithm is better than the k-medoids, because the k-means DBI is smaller than the k-medoids.