Reviewerly/exHarmony huggingface dataset:
Student Competency Association Analysis For Learning Evaluation Using Apriori Algorithm

Evaluation activities as a process in a learning program are one of the keys to improving the quality of education that will be accepted by students in learning. Therefore it is important for a teacher in how to understand the lack of learning given to students. Based on this, an analysis was carried out using the Association method with the Apriori Algorithm in finding relationships in the competency value data for each subject. In the Apriori method, it will produce a value that will determine the formation of the pattern. The data used is competency data based on student grades of English class 11 odd semester year class 2019 - 2020 SMK Ar - Rizqi Bina Insani with a total of 108 records with a maximum itemset of 3 itemset. The results of this association analysis produce a relationship between competencies that appear simultaneously, so that it can be used as an evaluation of learning for teachers as a learning improvement strategy for students based on the competence of each subject.
The Pragmatic Function of Speech for Elementary Students: Indonesian Teaching in Australia

This study aimed to describe the pragmatic function of an Indonesian language teaching in Australia and describe the speech act strategies used by foreign teachers to teach Indonesian in Australia. It employs a descriptive qualitative method with a case study approach to the pragmatic function construction in the classroom context. The data are negatively-constructed speeches of a teacher and students who join an Indonesia language learning program, The Apec Lesson Study Project, in Australia. Data are collected through documentation with extended techniques, listening, and recording. Meanwhile, the data are analyzed by using a method of padan pragmatics. The research results show that the pragmatic functions in Indonesian language teaching in Australia can be estimated into various categories and subcategories of speech acts: (1) combinative speech act, manifested into sub-speech acts asking-praising; and (2) directive speech act, manifested into sub-speech acts asking. These findings show how materials, methods, techniques are combined with speech constructions that are appropriate to the student's level. Meanwhile, the speech act strategy used by foreign teachers is a direct literal speech act strategy.
Role of Website Intranet Portal Quality Analysis on User Satisfaction at PT. XYZ

Website Portal Intranet is a system that manages information and data efficiently, as media for communication and collaboration between departments. The problems faced by PT. XYZ is that the use of the Intranet Portal website is still not optimal, due to the habit of employees who always exchange data using external storage media, and the habit of sending progress reports via email and the lack of socialization using the Intranet Portal information system. Based on the above problems, this research analyzes the role of the quality of the Intranet Portal website on user satisfaction using the WebQual 4.0 dimensions, Usability, Information Quality and Interaction Quality and EUCS (End User Computing Satisfaction) dimensions, namely Content, Accuracy, Format, Ease of Use and Timeliness. The test results show that the quality of the Intranet Portal website has good result, 60.67% and user satisfaction also has good enough criteria, 54.9%, while the role of the Intranet Portal website quality on user satisfaction is 41.86% which indicates the quality of the website Internet portals do not have a big impact on user satisfaction.
Development of Lecture Attendance System Using QR Code in Information and Computer Engineering Education Study Program of Universitas Negeri Makassar

This research is a software development research that aims to develop a lecture attendance system because from the past until now the computer engineering and informatics education study program did not have an attendance database, therefore the attendance data collection itself was done manually which could trigger human error and attendance fraud which is often done by students. Therefore it is necessary to develop a student attendance information system using a QR Code. The application quality based on ISO 9126 quality standards. In this study, system data analysis and collection, prototyping, prototyping, system coding, system testing, system evaluation, and system use. Data was collected using interviews, observation, and survey techniques. The system was validated by two system experts and evaluated by 40 students from the In-formation Technology and Computer Engineering study program at UNM. Data analysis used descriptive statistical analysis techniques. Based on these findings, we created an application that can manage wedding guest data. Based on the test results, you will get the following results: (a) Very good functionality in this category; (b) The maintainability aspect has met the maintainability standard; (c) The portability aspect is rated 1 or very good category; (d) Aspect of reliability with a percentage value of 99.9 so that it meets the reliability standards set in the Telcordia standard; (e) The efficiency aspect of this application is Grade B with a performance percentage of 83; and (f) The system user rating (usability aspect) has a score of 88.05 or very good in the category.
Design and Development of Aluminum Frame Unmanned Aerial Vehicle Hexacopter Configuration to Support Heavy Payload

Previous research has proven that the use of Unmanned Aerial Vehicles (UAVs) can increase the efficiency of human work. However, the design of the usefulness of UAV is considered to be limited. This limitation, for example, is that the UAV's lifting capacity is only capable of lifting 3-5 kilograms of load on average. In addition, the main material of the UAV frame also uses carbon fiber produced by build-up factories abroad, this makes the UAV design less economical. Furthermore, this study discusses the development of the UAV's lifting capacity of 25 kilograms to be able to lift the pesticide liquid load and considers the economic value. The hexacopter type multicopter UAV design was chosen in this study, equipped with 6 main propulsion rotors capable of carrying out its main task of lifting heavy loads, compared to the multicopter type of fewer than 6 rotors. The design is carried out by calculating the lifting force and analyzing the strength structure of the frame material with the help of AutoDesk Inventor software. The final result of the study was that the aluminum-based heavy-lift hexacopter drone was able to support heavy loads, as evidenced by structural analysis simulations resulting in a safety factor value of 1.67 ul, equipped with a 120KV rotor, 23x88 inch propeller, and 6S lipo battery 16,000 mAh, with a total weight of the frame 15kg drone flying for 19 minutes, with an additional 10kg of load the drone can fly for 6 minutes. This research can be developed by adding a nozzle or griper so that it can lift the pesticide spraying tank on a large enough agricultural land.
INTERACTION OF TEACHERS AND STUDENTS IN THE DIGITAL EDUCATIONAL ENVIRONMENT IN THE PROCESS OF TEACHING A PROFESSIONAL FOREIGN LANGUAGE

The process of digitalization of higher professional education actualizes the need for theoretical understanding and justification of the established and sustainable pedagogical phenomenon of interaction between participants in the educational process in the new conditions.The State standard of higher education requires a modern graduate to have a high level of competence in foreign language communication.Therefore, improving the quality and efficiency of the educational process is currently an important part of the educational process at the university.Pedagogical interaction, as a structural component of the educational system, which allows increasing the level of students` knowledge of a foreign language, is becoming an object of growing scientific interest.The purpose of the article is to reveal the level of students` motivation for the interaction with teachers in foreign language lessons at the university, considering work in a digital educational environment.Methods of studying, generalizing, analyzing pedagogical literature and pedagogical experience were used in the study as well as the method of questionnaire survey.As a result of the study, empirical data on the students` motivation to interact with teachers in the digital educational environment of the university were obtained; the concept, the essence, the structure and specifics of the interaction between teachers and students in the process of teaching a foreign language were clarified.The materials of the article can be useful for undergraduates, graduate students, researchers in the field of pedagogy.
Japan Association of Mineralogical Sciences

She applies Raman and infrared spectroscopy to minerals to extract properties of various types of rocks and applies these methods to petrology and geology.One of the most notable achievements in the field of Raman spectroscopy is the successful introduction of a pressure scale to quartz Raman barometry, which had been conventionally used for qualitative pressure constraints.This research is the forerunner of Raman geobarometry research, which is still being refined by many researchers.Yui's group also proposed a Raman geothermometer applicable to low-grade metamorphic rocks below 400 °C, using the FWHM of the Raman peak of the carbonaceous material as a parameter.The proposed method can be used to estimate temperatures over a wide metamorphic range in combination with existing geological thermometers that can be applied at temperatures above ~340 °C.She applied these geothermometers to the Sanbagawa metamorphic belt in central Shikoku (SW Japan) and combined the results with detailed descriptions of the minerals included in the garnet porphyroblast to verify the metamorphic history of this area.As a result, the boundary between eclogite/non-eclogite units was determined and a wider area than previously assumed was recrystallized under eclogite facies conditions.In addition, a more precise regional thermal structure was revealed when using the Raman carbonaceous material geothermometer.These results are extremely important for understanding the formation and exhumation processes of subduction-type metamorphic zones.
MCANet: Multiscale Cross-Modality Attention Network for Multispectral Pedestrian Detection

Multispectral pedestrian detection is an important and challenging task, that can provide complementary information of visible images and thermal images for high-precision and robust object detection results. To fully exploit the different modalities, we propose a Multiscale Cross-Modality Attention (MCA) module to efficiently extract and fuse features. In this module, the transformer architecture is used to extract features of two modalities. Based on these features, we design a novel spatial attention mechanism that can adaptively enhance object details and suppress background. Finally, the features of each branch are fused using the channel attention mechanism and sent to the detector. To verify the effect of the MCA module, we propose the MCANet. The MCA modules are embedded at different depths of the two-stream network and interconnected to share multiscale information. Extensive experimental results demonstrate that MCANet achieves state-of-the-art detection accuracy on the challenging KAIST multispectral pedestrian dataset.
TRAINING OF FUTURE DOCTORS OF PHILOSOPHY IN THE FIELD OF SPECIAL AND INCLUSIVE EDUCATION: U.S. EXPERIENCE

The article reveals the content and features of the organization of the process of PhD training in special and inclusive education in American higher education institutions using the example of the educational and scientific program “Special education: PhD in the field of social, emotional and behavioral health and inclusive education”, introduced by the College of Education and Social Services of the University of Vermont. It is shown that the studied educational and scientific program is interdisciplinary and covers such subject areas as special education, social work and health care, involves post-graduate students within the educational and scientific component in interdisciplinary cooperation for the promotion of justice and inclusiveness in education. The specified program envisages the involvement of PhD students in joint applied research aimed at the development and testing of programs and practices in schools and local communities. The requirements for admission to the educational program and the content of the core courses of the educational component are outlined. Features that can be creatively implemented in the practice of training post-graduate students in Ukrainian higher education institutions have been identified, in particular: a) the interdisciplinary nature of educational and scientific programs, which allows students to form a more thorough understanding of the subject of research and focus on the aspect that best suits their scientific interests; b) sequential mastering of the educational and scientific components of the educational and scientific program with the mandatory completion of a comprehensive qualification exam, which opens the possibility to register for mastering the credits of the scientific component (writing and defending a dissertation); c) applied nature of scientific research of graduate students, their practical orientation, focus on solving problems related to the functioning of the local community, education institutions and families that belong to it.
The Effect of Family Literacy on Students' Interest in Reading

Interest in reading among children in Indonesia is still at a low level. Low reading interest requires supporting factors that can influence reading interest. The purpose of this study was to examine the effect of family literacy on students' reading interest. This study uses a type of quantitative research with the type of ex post facto. Data collection techniques using observation and questionnaires. The analysis used in this research is an analysis using descriptive associative research. In this study the statistical technique used is simple linear regression analysis. Simple linear regression is used only for one independent variable and one dependent variable. The results of the research show that family literacy has an influence on students' interest in reading. Evidenced by the t test which shows the number 5.245. From the results of the t test which shows that the family literacy variable partially influences the variable interest in reading with a significance level of 0.000. The results of the determinant test showing the influence of family literacy on reading interest is the R result of 0.258
Judging the Trend of Curriculum Development Based on Correlation Analysis Algorithm

Emerging Engineering Education began in 2017.With the positive response of education departments and universities, the construction of Emerging Engineering Education courses is making progress.Facing the courses with different research directions, how to find out the internal relations and correlation characteristics between them with scientific algorithms is the necessary premise for universities to open multiple Emerging Engineering Education courses.We collected the data of big data and AI related professional courses offered by domestic colleges and universities in the past five years, and used these data as samples for statistical analysis and calculation.With the famous data statistical analysis software IBM SPSS as a tool, we used the results obtained from the correlation analysis algorithm as the basis for inferences made a scientific analysis of their correlation and made a judgment on their development trend.These results obtained by this inference algorithm are detailed and reliable, and have certain value in popularization and application.
Using personas to allow greater input by home dialysis patients to the innovation process

Background: The target is for at least 30 per cent of dialysis patients to be treated at home.Close monitoring by the specialist health service is vital for boosting the patients' confidence and sense of coping with home dialysis.The study originated in a renal outpatient clinic where the renal nurses were using routines and support tools that provided no scope for increasing the share of patients on home dialysis.A digital monitoring tool needed pilot testing.The objective was to establish the practical value of the tool, and how it would need to be further developed in order to meet the needs of the hospital and the patients.Objective: During the innovation process, the renal nurses at the outpatient clinic played an active part in the pilot project, while it proved more difficult to bring out the patients' perspective due to their poor health.We therefore wanted to investigate how personas might be developed to provide a clearer picture of the patients' needs and the relationship between the patients and the health service.We also wanted to promote a more user-centred focus for the development of monitoring technology for home treatment programmes. Method:The study is an explorative, qualitative and longitudinal case study designed to test the digital monitoring tool.We collected data through interviews, observations and workshops with patients and renal nurses at the renal outpatient clinic as well as with hospital and community nursing staff, and the supplier's employees.Our thematic analysis of case data gave us a base from which to develop personas that were later presented to the specialist renal nurses for validation.Results: Our results show considerable variation in the patients' need for monitoring and their access to methods that allow them to cope with home dialysis in their everyday lives.These varied needs are met by the renal nurses, who spend a considerable amount of time on communication, logistics and facilitation to secure the best possible treatment compliance.The personas were designed to take account of this interaction. Conclusion:The use of personas has attracted criticism because the practice may be perceived to cause reduced involvement in the process by genuine service users.In this study, however, we have used personas precisely because there was limited opportunity to involve severely ill patients with the innovation process.To a large extent, personas can illustrate the interaction between renal nurses and patients, and the choices made by patients.Further work on personas should include descriptions of characters other than patients, e.g.members of the community nursing team and the patient's relatives. LES OGSÅ
The Global Equity Evaluation for Asteroid Mining based on Principal Component and Hierarchical Analysis

As scientific and technological development progresses and asteroid mining gradually becomes a reality, the Outer Space Treaty provides the legal basis for promoting the participation of countries in this project.The fairness of this international commitment is fully guaranteed, and the international division of responsibilities among countries is reasonably quantified.Starting from global equity, a comprehensive evaluation based on principal component analysis (PCA) and hierarchical analysis is carried out to reasonably allocate resources based on population, while integrating evaluation scores.Based on Kmeans cluster analysis, we classify global countries in four dimensions: economic strength, scientific and technological strength, labor input, and industrial output, and based on the classification results, we delineate the international division of labor responsibilities of each country.Based on grey correlation analysis (GCA), the direct factors affecting asteroid mining are assessed as economic strength and industrial output.Based on the results of the above analysis, reasonable suggestions are made to ensure maximum global equity and promote the development of asteroid mining.
Adapting K-Medoids and Random Swap for Clustering Sets

This paper proposes two algorithms for clustering data which are variable sized sets of elementary items. The first one is based on K-Medoids. The second extends the Random Swap algorithm which has proved of being capable of efficient and careful clustering. Both algorithms depend on a distance function among data objects (sets) which can exploit application-sensitive weights or priorities. The proposed distance function makes it possible to exploit several seeding methods which can improve the clustering quality. A key factor of the two algorithms is their parallel implementation in Java, based on functional programming using streams and lambda expressions. The use of parallelism smooths out the Â computational cost behind K-Medoids and clustering indexes like the Silhouette, and allows to approach non trivial datasets. The paper applies the algorithms to several benchmark case studies of sets, and demonstrates how accurate and time efficient clustering solutions can be achieved.
Research on Positioning Method of Irregular Table of Mechanical Process Card

The retrieval of paper form data is large, and the storage cost is high and wasteful, and the digital reproduction of form data has become more and more common.Due to the immaturity of the early watchmaking technology of the mechanical craft card, there were problems such as dotted vertical frame lines, misplaced frame lines, and table spreads.First, a table document tilt correction algorithm based on straight line detection is used, which is convenient for better realization of table extraction and positioning and identification of effective information.Homogeneous, according to the characteristics of irregular table style, an irregular table extraction algorithm based on double histogram statistical clustering is designed to achieve precise positioning of table areas.Then, according to the sample characteristics of the cross-page table, a cross-page table splicing algorithm based on local characteristics is designed to ensure the integrity of the data.Finally, by extracting irregular table cell images and bi-histogram projection, a nonregular table cell extraction algorithm based on image statistics clustering is realized.
Effectiveness of Swarm Robotics in Coordination of Multiple Robots as a System That Consists of Large Numbers of Mostly Simple Physical Robots

The concurrent work in a task with multiple robots is gaining faster achievement with different tasks. Swarming is able to ensure a new way of collaboration which is helping to provide diverse skill growth in the environment. The combined goal and also development of different new skills are gained from swarm robotics. Inspiration for swarm robotics is gained with social insects as they are able to exchange information with each other and modify their behaviors according to the environment. The formation of the swarm is developed with the help of multiple robots as these can build progress in work. Moving in the same direction as their neighbours are the most simple rule that is followed by swarm robotics which can be ensured a better improvement compared with single robots. Multiple robots are helping to produce better improvements in different sectors such as agriculture, military operation, rescue operation, and much more. Different designs of machines are helping to assist humans to solve different real-life issues of the people. With the help of multiple robotic functions, safety and speed are ensured which can also solve any hard issues for people. Robotics are helping to provide errorless development which is important for gaining growth and assurance for improving the quality of humans. Keywords : Autonomous mobile robots, Swarm robotic functions, Swarm intelligence theory.