Reviewerly/exHarmony huggingface dataset:
Investigating Student's Listening Strategies and The Challenge in Digital Era

Listening is one of English skill which need different treatment because in the process of mastering it. The ability of the teacher in preparing the listening activity helps the students to get the skill in listening. The successful of the teacher start from understanding the students’ habit in learning listening. For this reason, this research investigates the students’ listening strategies, the application used, and their challenge in conducting the application. The populations of this research are new students of English Language Teaching Department (ELTD). Qualitative research is used to conduct this research. The data collected through interview, observation, and documentation. The finding data analyzed through coding, taking example and describing. The result shows that the students tend to use metacognitive strategy in learning listening than cognitive and socio-affective strategy. The application use by the students in learning listening are YouTube, Spotify, Podcast, BBC Learning, Cambridge Dictionary, U Dictionary, Instagram, Twitter, Joox, Dou Linggo, Praat, Google translate, TOEFL, Tune In, and Pronunciation in use. The students’ challenge in using application comes from internal (the students/listeners) factor and external (Internet bandwidth and the speakers) factor. This result hopefully can help the teacher to design the learning process on listening based on the students’ need and character.
Application Of Fuzzy Logic In The Measurement System Of Student Satisfaction Level Towards Lecturers Based On The Fuzzy Infrence Analysis Of The Mamdani, Sugeno And Tsukatomo Method System

Service to students is an important aspect for the comfort of students at universities in undergoing study process, one of the services that need to be considered is student satisfaction with lecturers, especially in private universities, student satisfaction with lecturers is very influential because it can have an impact on the absorption of knowledge provided to achievement. for students, it is necessary for the right method to measure the level of student satisfaction with lecturers, the purpose of this study is to perform a comparative analysis of the fuzzy Inference system of the Mamdani, Sugeno, and Tsukamoto methods to be able to measure the level of student satisfaction with lecturers accurately and with the right method, The stages of this research method are data collection from STMIK Pelita Nusantara, data identification as the basis for fuzzification formation, fuzzy inference system process with Mamdani, Sugeno, and Tsukamoto methods, then analysis of the three t-methods is carried out. This is to select which method is the most accurate, then carry out system development and system implementation. The results obtained in this study are the Fuzzy Inference System has been successfully created and can be applied to this research, and from the comparison of the 3 methods, it is known for level measurement research. student satisfaction with lecturers, the best method is the Sugeno method, in addition to its high accuracy, determining the constants to be values that match the criteria for the assessment range and also the calculations are not so complicated.
FORMATION OF GEOMETRIC CONCEPTS BASED ON INTERDISCIPLINARY RELATIONSHIPS IN PRIMARY SCHOOL STUDENTS WITH INTELLIGENCE DISABILITIES

The article reveals the content of the formation of geometric concepts on the basis of interdisciplinary connections in primary schoolchildren with intellectual disabilities. Analysis of technology for the formation of geometric concepts based on interdisciplinary connections in primary schoolchildren with intellectual disabilities
A Study of Cultural Elements in High Level Chinese Language Textbooks for Primary National School

This study examines the cultural elements in Teaching Chinese as a Second Language (TCSL) based on six high-level of National Primary School’s Chinese Language (BCSK) textbooks, which are textbooks of BCSK KBSR (Primary School Integrated Curriculum) Standard four to Standard six and textbooks of BCSK KSSR (Primary School Standard Curriculum) Standard four to Standard six in order to investigate the changes of cultural elements content and describe the features of cultural elements in this two sets of high-level BCSK textbooks. Researcher has used library research methods and information technology methods to collect data and then use quantitative and qualitative analysis methods to calculate cultural elements in high-level BCSK textbooks by referenced to the criteria of classification of cultural elements which designed by researcher based on previous studies as well as the references of TCSL experts. The results showed that (1) high level BCSK KSSR textbooks are found that had more cultural elements for the total number of 622 compared to 522 in high-level BCSK KBSR textbook with the increasing of 19.16% and (2) high-level BCSK KSSR textbooks can be said to be more ideal to fostering communicative competence as the cultural elements in this set of BCSK textbooks are more geared towards communicative cultural elements with a record rate of 46.30% compared to 39.27% only in high-level BCSK KBSR textbooks.
Pemanfaatan Argumen dalam Teks Diskusi pada BSE Bahasa Indonesia Kelas IX SMP: Media Pengembangan Kreativitas

This study aims to determine the use of the arguments contained in the discussion text in the BSE Indonesian Language textbook for class IX SMP, both in supporting and challenging arguments. This study uses a qualitative descriptive approach with content analysis method. Sources of data in this study are a number of discussion texts contained in the discussion text material in the BSE Indonesian Language textbook for class XI SMP. The results of this study indicate that the supporting and challenging arguments in the discussion text 1 under the title "Recycling for a Green Lifestyle" have a good rating category in the completeness of the content and pouring out the problems/issues discussed. Meanwhile, in supporting and challenging arguments, discussion text 2 under the title “Awareness of Paying Taxes” has a very good assessment in the completeness of the content and discussion of the problems/issues discussed. So that this discussion text book is able to become a learning material that can increase the creativity of students in utilizing the arguments described in the discussion text.Keywords: Discussion Text, Supporting Arguments, Challenging Arguments
Predicting 12-month mortality in a Scottish COPD cohort

<b>Introduction:</b> COPD is a common, progressive, preventable and treatable respiratory disorder that affects around 1.2million people in the UK. It will become the third leading cause of death worldwide by 2030. Accurately identifying high-risk patients is essential for proactive care re-orientation. <b>Aims and objectives:</b> Machine Learning (ML) models were applied to clinical data to improve 12-month mortality prediction following a severe COPD exacerbation. <b>Methods:</b> We used de-identified demographics, hospital admissions, diagnosis, prescribing and labs data from 55531 patients who had 913834 admissions to develop an XGBoost mortality prediction model. 15% of all patients were randomly held out for a final test set. An 80:20 split of the remaining 85% of patients was used for model training then validation. <b>Results:</b> The final model was tested on the hold-out test dataset. Due to the significant class imbalance two accuracy metrics were used. We achieved an area under the Receiver operating characteristic curve (AUC-ROC) of 0.93 and an area under the precision-recall curve (PR AUC) of 0.42 for prediction of 12-month mortality following a severe COPD exacerbation. Feature selection was used to improve model performance and reduce complexity. Feature drop-out analysis was used to evaluate model performance in the absence of specific data sources, enabling the prioritisation of source data for model integration <b>Conclusions:</b> The performance of our AI-based COPD mortality prediction model exceeds any published comparator and is ready for clinical adoption. Our COPD digital service support.nhscopd.scot will be expanded to include an AI actionable insights dashboard.
Project And Research Activities Organized In Modern School

The paper evaluates the theory and practice of managing project and research activities, studies the organizational features of research activities, describes an experiment towards the effectiveness of organizing project and research activities of learners at modern secondary school.It concludes that a current need for the formation of project and research skills in the younger generation is determined by the development needs of modern society.A modern person should consider education as a means of fulfilling his/her own educational, cultural, social, future prospects, as well as a way of forming basic competencies that guarantee the success of the entire human life.The most pivotal prerequisite for effective management of the quality of education delivered at modern schools will be the development of public forms of education management.It is important to note that social partnership and education management authorities, which establish organizational mechanisms, have a special impact on the way project and research activities are organized.The education system has a complete package of legislative and regulatory documents on the alliance of general and further education, which opens up wide opportunities for exploiting the potential of project and research activities in the educational process of a modern school.In recent years, various concepts, projects, forms to ensure the alliance of general and further education of children have been integrated into educational practice.However, an overwhelming majority of them do not have practical and theoretical significance, scientific novelty.
Analysis and review on fuzzy evaluation of the performance

In modern conditions a comprehensive analysis of development trends and their effectiveness in various areas of human activity increasingly requires the analysis of data accumulated in numerous documents stored on the global network. Such an analysis is based on annual results in many areas of research, time trends and keywords. This analysis has certain peculiarities: it requires an analysis of not always accurate numerical information, comparison of qualitative indicators, obtaining both qualitative and quantitative characteristics, as well as the use of reference information for researchers and decision makers in related fields. In this regard, in recent years, a fuzzy assessment based on fuzzy mathematics is increasingly used in all types of assessing the effectiveness of various activities. The paper deals with conducting a bibliometric study based on the Extended Science Citation Index (SCI-E) and fuzzy performance measures to understand research trends and areas of focus. This paper takes the relevant scientific papers in Web of Science database as the research object, and analyzes the research trends with the help of bibliometrics. The results show that the number of papers published in the world is on the rise. The number of papers published in China and Iran is higher than that in other countries and regions. However, the number of papers cited in the United States and Turkey is higher than that in other countries or regions. Islamic Azad University is the largest. The research topics focus on fuzzy sets, fuzzy logic, genetic algorithms and performance evaluation. The research hotspots before 2011 included expert systems, neuro-fuzzy systems, and pattern recognition. After 2011, the research hotspots became neural networks, fuzzy sets, and machine learning.
Taking a quantitative approach to collection assessment

Bibliometric analysis has been used in collection assessment activities in academic and research libraries for almost a century. Primarily focused on journal collections, citation counts can identify frequently used material as manifested in the references that authors make. The availability of increasingly sophisticated tools enables the collection of extensive quantitative data, on which bibliometric analysis is based. Although the data gathered in these analyses is limited in that it cannot explain different types of use, it can provide a strong foundation for assessing collections relevant to specific user groups and subject areas. This chapter presents the case for bibliometric analysis as an effective approach to collection assessment within a particular context. A brief historical overview of the use of bibliometrics in collection assessment is followed by a description of the tools available and the skills required to perform bibliometric analysis. A step-by-step description of a bibliometric analysis designed to mirror an authentic situation is presented, with advice about considerations and potential challenges. The chapter concludes with a discussion about how bibliometric analyses might be combined with other collection assessment approaches to achieve a robust dataset on which to make informed decisions.
PERANCANGAN SISTEM INFORMASI PENGGAJIAN PADA PT WANGSA INDAH NUSANTARA

The payroll information system in Aldomaru still uses Microsoft Excel, so there are often difficulties in finding payroll data if at any time the data is needed and it takes a long time to make data reports. This causes inefficient processing of payroll data. So we need a computerized system for processing payroll data in Aldomaru. So that it can be used as a fast, precise and accurate information in the form of an application.&#x0D; The research methods used are analytical methods and fact-finding methods: interviews, observations, and literature studies. Design method through database design and database application. The result achieved is the introduction of a payroll database system that facilitates the performance of the payroll department of PT Wangsa Indah Nusantara. The conclusion of this study is that the design of a new database can facilitate the payment of salaries.&#x0D; The objectives of this study include: finding the obstacles faced by the employee payroll department at PT Wangsa Indah Nusantara, designing an employee payroll information system. In this design, the author uses Visual Basic.NET programming language with database format using Microsoft Access 2010.&#x0D; The result to be achieved is the design of a payroll information system for management to make it more efficient and effective in making decisions on matters relating to payroll. The conclusion of this paper is that with the Payroll Application, the payroll administration section can easily make reports.
PERANCANGAN APLIKASI INVENTARISASI SUKU CADANG PERALATAN METEOROLOGI BERBASIS SISTEM OPERASI ANDROID DENGAN DATABASE SQLITE PADA SUB BIDANG INSTRUMENTASI REKAYASA PERALATAN METEOROLOGI BMKG

The object of this research is the sub-field of instrumentation and engineering of the Jakarta BMKG meteorological equipment. This sub-sector of instrumentation and engineering of meteorological equipment is that which provides spare parts for meteorological equipment for meteorological stations throughout Indonesia.&#x0D; In the inventory of spare parts in the sub-field of instrumentation and engineering of meteorological equipment, MS Excel is still used on the computer so it is not practical and cannot be carried anywhere.&#x0D; By using the spare parts inventory application on this android phone and with the SQLite database, it will make it easier for the spare parts inventory process and more practical and can be carried everywhere.
Organizational and pedagogical aspects of optimization of education and upbringing of students with special needs in higher education institutions

The authors of the article emphasize the need to form an effective system of higher education that would meet national interests and global development trends, provide training, as well as equal rights and opportunities for all actors in the educational process, including people with special educational needs. After all, the main goal of inclusive higher education is not only to eliminate barriers to access of students with special educational needs to the development of their natural potential, but also to enable them to achieve maximum independence, competence, competitiveness as necessary qualities and prerequisites for effective self-realization. It is proved that the effectiveness of the process of optimization of education and upbringing of students with special needs in higher education institutions depends on a set of organizational and pedagogical aspects. The first organizational and pedagogical aspect is the formation of a high level of readiness of teachers to carry out activities aimed at optimizing the teaching and education of students with special needs in higher education institutions. The second aspect of optimizing the education and upbringing of students with special needs is the development and implementation of a program of full inclusion of people with special educational needs in the educational process of higher education institutions. It provides primarily semantic and methodological support of this process on the basis of a holistic system approach. The third aspect optimization of education and upbringing of students with special needs is the formation of the educational space of higher education institution tolerant to the inclusion of people with special educational needs. The fourth organizational and pedagogical aspect of optimizing the education and upbringing of students with special needs in higher education institutions is defined - pedagogical monitoring of the relevant process.
THE PHENOMENON OF VIGILANTE GROUPS AND CRIME CONTROL IN BENUE STATE

The study examines the phenomenon of vigilante groups and crime control in Benue State. Conflict theory was the adopted theory for the study. The sample size of the study was 400 respondents. The population of the study was members of the vigilante, religious leaders, traditional rulers, and police officers. The study employed questionnaire, observation and interview as the instruments used for data collection. Data was presented using percentage distribution. The study finds that vigilante groups have positive impact on crime control in Benue state; the factors accounting for the proliferation of vigilante groups in Benue State include ineffectiveness of the police, increase in insecurity, need for affordable crime control system and accessible crime control mechanism, and the need for swift justice system. That the lower class of the society patronize vigilante groups more than any other classes of the society, the reasons people patronize vigilante groups, are: high cost of attaining formal justice system, delays in the formal justice system, desire for a cost effective justice, need for a swift justice system among others. The study recommends the following among others: provision of basic crime fighting equipment, adequate funding of vigilante groups, logistics should be made available for vigilante groups, respect for the fundamental human rights of suspects, proper and effective training of vigilante personnel, enactment of laws establishing vigilante groups.
Institutionalization and Provision of Qualifications for Secondary School Teachers after Liberation until the 1950s

This study set out to analyze the characteristics of the review process for the authorization of history textbooks during the period of the ‘Course of Study’. The main findings of this study are as follows: This study dealt with the establishment of teacher qualification standards and the problem of unqualified teachers in the expansion of secondary school teachers in Korea from the 1940s to the 1950s. As qualification certification was implemented in step with an increase of secondary education teachers after liberation, teacher qualification standards had to be made. Teacher qualification standards were established, starting with "Elementary and Secondary School Teacher Qualification Standards" (1948) and going through the legislation processes of "Educational Civil Service Qualification Standards" (1953) and Enforcement Regulations (1954). Accordingly, educational background, experience, and retraining standards needed for the provision of teacher certifications such as for regular teachers and assistant teachers were prepared. The establishment of standards led to the occurrence of unqualified teachers. While opportunities for qualification through retraining were provided, acquisition was difficult due to the Korean War. As unqualified people were on the verge of being expelled under the laws of 1945, educational authorities relieved them through simple screenings. Consequentially, policies to maintain teacher standards by establishing teacher qualification standards and certification expiration dates were not carried out and were refracted. This became a precedent and afterwards, it led to teacher policies busy with supply and demand during a period of secondary education expansion.
Detection Of Human Face Targets with Viola-Jones Method

This study aims to implement Viola Jones into a simple face detection system by utilizing the existing library in Open CV and using the Python programming language. In this study, there were 10 sample images consisting of 8 images of human faces and 2 images of animals. The results of the study were 9 images were successfully detected and 1 image was less precise in determining the face. The system can detect the presence of several (more than one) faces in an image. The system can also detect an object that resembles a face when the object has the same contour as a human face, for example, a face on a statue.
Enrich student learning experience by building a cybersecurity virtual lab with open-source tools

A lab session is an important component of a successful and effective cybersecurity curriculum in computer science. It gives students the opportunity to apply the cyber defense knowledge they have ...
Bounding Box Regression Based Image Composition Recommendation

Image composition recommendation aims to find the most aesthetically valuable crop in an image, which can assist the photographer to take beautiful, elegant, and coordinated photos.However, most of the previous methods based on neural network do not generate the composition boxes directly because it is difficult to accurately and completely mark all excellent composition bounding boxes.Instead, these methods first enumerate some pre-made boxes, regress their score and return the box with highest score, which will have a negative impact on the accuracy of regression results and algorithm efficiency.By proposing an end-to-end neural network model consisting of a feature extraction module, a bounding box regression module, and a score regression module, which can regress the composition bounding box, and designing the corresponding data construction method, training method and loss function, the above difficulties have been successfully overcome.In this paper, two public datasets, FCDB and FLMS, are selected as the test set.Compared with the existing methods, this method achieves the best IoU and Disp.