Reviewerly/exHarmony huggingface dataset:
Vertex reconstruction in particle detectors using quantum computing algorithms

This work aims at testing a new quantum computing algorithm to reconstruct vertices in the context of a tracker-like particle detector. Input tracks have been generated using a simplified tracker simulator assuming they originate from two different vertices. The Point of Closest Approach of the tracks to the beam line has been considered as the nodes of a graph connected to the other nodes through a weight equivalent to the euclidean distance between the two. A Variational Quantum Eigensolver algorithm has been used in order to divide the graph in two groups that maximizes the total distance between the two groups. The algorithm has been implemented using Qiskit, the IBM framework, obtaining a track-vertex association accuracy of about 90% for distances between vertices of a few milimeters. This work represents a simple proof-of-concept that a quantum computing algorithm can be used to solve the problem of the vertex reconstruction.
PROMOTING ENGAGE STUDY ACTIVATE (ESA) TECHNIQUE TO TEACH SPEAKING SKILL

ESA (Engage, Study, Activate) technique is one of alternative ways to teach EFL students how to speak in English, comprising three steps: engage, study, and activate.It is believed that this technique can assist the teachers in arousing students' interest, curiosity, and emotion, as well as encouraging them to orally express their feelings, information, and language.The goal of the research was to see whether there was a significant difference in speaking performance between the students who learned using ESA technique and those who were not.A quasi experimental research was administered as the design of the research.The sample was taken by using purposive sampling technique.The researchers considered the number of the students and whether the sample was taught by the same English teacher as choosing the sample.The data was collected using an oral test.The data was analyzed using the t-test.Based on the result of independent sample t-test, it was found that tobtained was 3.174.It was higher than ttable (1.999).It indicated that H0 was rejected and Ha was accepted.Therefore, it confirmed that the students who were taught using ESA technique had better speaking achievement than the students who were not taught using ESA technique.
General Fitness Status of First Year Female Students of Tan Trao University

Through the use of observation method, seminar interview, pedagogical test method and statistical math method, the article conducts a general assessment of physical condition for first-year female students of at Tan Trao University, thereby contributing to improving the effectiveness of physical education for students of the university.
Integrating feature selection and mislaid data in thyroid classification using data mining algorithms

Automated diagnostic systems have become increasingly popular in the healthcare industry in recent years. In recent years, these systems have gained popularity for their diagnostic benefits. The operator-dependent existence of medical imaging systems can be minimized with this method, and the diagnostic process can be made more repeatable. In addition, it aids in the improvement of diagnostic accuracy. This effectively works with features that cannot be obtained by visual analysis or intuitive examinations (such as computational and statistical features). In this paper, we propose a new algorithm called "Optimized Weighted KNNI algorithm" (OWKNNI). In this research paper, we have addressed the topic of migration. This paper discusses the problem of dimensionality reduction and the use of feature selection algorithms, which is one of the most important tasks in feature engineering. The solution is given sorting out the problem is proposed as an algorithm.
PENERAPAN METODEPEMBELAJARAN SIMULASI UNTUK MENINGKATKAN PERCAYA DIRI DAN PRESTASI BELAJAR

The purpose of this study was to increase self-confidence and learning achievement in social studies at SD N 1 East Merapi, Lahat, class VI. The method used is CAR, with three cycles, followed by quasi-experimental. The research subjects for CAR were class VI.c, while the experimental class VI.a and control class VI.b. Data collection techniques using observation and tests. Data analysis used percentage, average and t test. Based on the data analysis, it can be concluded that the application of the simulation method can significantly increase self-confidence and social studies learning achievement
An Analysis of English Speaking Practice through Online Learning for Students (Case Study to The Students Majoring in Management Class 64.1H.05 and 64.1G.05 Kaliabang Branch University of Bina Sarana Informatika)

An Analysis of English Speaking Practice through Online Learning for Students: Practicing English speaking is always necessary for students to communicate globally. In this COVID-19 pandemic, the online learning is the only way for students to still receive the learning process. Students often find the difficulties when studying through online learning, especially when they practice their English speaking. Therefore, the researcher is interested in discussing about the process ofEnglish Speaking Practice through Online Learning, the supporting and obstacling factors. This research would help the lecturers in finding the right methods and teaching techniques, the institution to find and solve the problem and the students to improve their English speaking skills. The researcher will use a descriptive qualitative method. The qualitative research metod is aimed to find the best of an individual point of view and know more about the research in further ways. The researcher will give the quesioner to the respondents and an interview to some of the class representatives.
A Radical Shift in Education Practice and the Question of Ethical Reflection in Pandemic Era

The contemporary society is at a crucial point in the evolution of digital technology. An extensive usage of digital technology in education theory, policy, and practice poses the challenge of digital ethics. It is apt to be conversant with digital ethics, which is ‘doing the right thing at the intersection of technological innovation and accepted societal values’. On the contrary, these dazzling digital technologies capture the attention and inspire imagination of human beings in the framework of teaching and learning in the current era. The speed of digital technology change and the relativity of social values cannot ignore the indispensable questions about ethics in educational theory, policy, and practice. Therefore, this treatise draws attention to the indispensable necessity of averting the reality of relativity, contingency, and subjectivity as perceived in digital technology and affirming the relevance of authenticity as the hallmark of ethical deliberations in the realm of educational theory, policy, and practice.
Butsukusa: A Robot Describing Its Observations and Internal States

We propose an autonomous mobile robot Butsukusa, which describes its observations and internal states during the looking-around task. The proposed robot observes the surrounding environment and moves autonomously during the looking-around task. This paper examined several language generation systems based on different observation and interaction patterns to investigate better communication protocol with users.
An Italian Question Answering System Based on Grammars Automatically Generated from Ontology Lexica

The paper presents an Italian question answering system over linked data. We use a model-based approach to question answering based on an ontology lexicon in lemon format. The system exploits an automatically generated lexicalized grammar that can then be used to interpret and transform questions into SPARQL queries. We apply the approach for the Italian language and implement a question answering system that can answer more than 1.6 million questions over the DBpedia knowledge graph.
Training Information System at PT. Teknik Media Utama Banda Aceh City

The aim of this research is; 1) To find out the training information system at PT. Banda Aceh Main Media Engineering, and 2) To design a training information system at PT. Teknik Media Utama Banda Aceh City. FlowMap and data flow diagrams are used to show the general structure of an information. While the application development process using the waterfall model proposes a systematic and sequential approach to software development that starts at the level and progress of the system throughout analysis, design, code, testing, and maintenance. The research results include; 1) Management of training participant database at PT. Teknik Media Utama is ready to replace the old system gradually in a certain parallel period (4-6 months). During that time, the old system is still used to maintain data security and integrity if an error occurs in the new system, 2) The system will be very helpful for users or data managers of trainees at PT. Teknik Media Utama more quickly, easily and accurately in every activity related to training participant data, and 3) The system is very user friendly and in accordance with the needs of the object. Because in designing designs and others, the author does not design based on personal but always consults with users.
Let’s Play the Arcade Machines

Let's Play the Arcade Machines" showcases games made by children in schools in the Wester Hailes area of Edinburgh.The project aims to expose the children to a constructionist style of learning; supporting them to create and remix games about their local area using the Scratch programming environment, whilst
PENGEMBANGAN SISTEM AUTOMASI DI PERPUSTAKAAN SD ISLAM AL-AZHAR 21 PONTIANAK

AbstractThe title of the study is “Development of Automation System in the Library of Al-Azhar Islamic Elementary School 21 Pontianak”. The purpose of the discussion of this final assigment is to explain the development of automation system and the difficulties faced inre-preparing automation system that had stalled. The research used in the preparation of this final assigment is a desciptive method with a qualitative approach. Data collection techniques are carried out through observation, interviews, and documentation conducted by the author to librarians at Al-Azhar Islamic Elementary School 21 pontianak. The result of writing this final assigmment is known that the application system at Al-Azhar Islamic Elementary School 21 Pontianak has been started since 2018, but has been discontinued due to the application system used that is SLiMS is lost on the librarians work computer, so that by 2020 librarian try to re-develop this automation systemby studying the difficulties that occur so as not to repeat the same error, then the role of librarian here is needed as a person who performs or runs a series of processing activities in the library where he works.Keywords: Automation System, Elementary School Library Automation
Transforming teacher education in the context of the 4IR through the Internet of Things and social presence

The research presented in this scholarly book is all original, whether it is theoretical or empirical as it deals with a new phenomenon in the South African context and as it seeks answers to questions that have hitherto not been asked before.The 4IR has become an overarching framework within which education systems including teacher education are operating.Contingent upon the ideology of neo-liberalism, the 4IR seeks to transform societies in ways that respond to the relentless developments in technology, the Internet and digital capacities, which, by design and intent, are purposed at increasing both the productivity and the associated quality, while at the same time reducing human intervention in the same processes.In teacher education, how we teach and train student teachers will be substantially influenced by the imperatives of the 4IR.There are multiple unresolved questions as the 4IR takes centre stage.For example, what will it mean for teaching and learning in schools that have severe technological and digital deficits; for teachers and students who have minimal technological literacies; for delivering high-quality teaching and learning; for transforming both the content and pedagogies of teacher education and, above all, for delivering socially just educational experiences for all our learners, regardless of class, race and privilege.The discourse of the 4IR is contemporary and requires multiple perspectives to explore what it means in different contexts and settings, and the understandings it engenders in people, what it implies across a wide range of educational decision-making levels, and that its fundamental assumptions cohere with national and societal assumptions about equality, equity and social justice.Multiple methodological approaches were utilised in the interrogation of the idea of the 4IR in teacher education in South Africa, including theoretical, empirical, small-scale case studies amongst others.The data these approaches provide are equally valued based on the purposes for which they have been derived.Prior to publication, each chapter was subjected to a similarity analysis to determine any textual similarities.In all cases, authors were required to respond to the similarity reports to assure that the substantiation of argumentation is based on appropriate, sound and scholarly responsible recognition of relevant sources.
Classification of toddler nutrition status using data mining with algorithm C4.5 (Case study: Integrated service centers in Ciasihan Village)

Toddlers need an excellent nutritional intake to grow up healthy and get used to a healthy lifestyle. Determining nutritional status is also equally important because it can monitor proper health growth in toddlers. Dietary disorders, including malnutrition, are caused by insufficient food levels and the amount of food not for the needs of each person’s body. There is a special health service to monitor the health of toddlers and their vaccinations called an integrated service center. Examination and assessment of the nutritional status of toddlers are carried out in public health services such as an integrated service center. The report of toddler data is still recorded non-digitally, which causes much time to classify their nutrition and data stack. Hence, the nutritional predicate of toddlers can not be monitored constantly. For this reason, a system was built to classify and monitor the nutritional status of toddlers to avoid data accumulation. This system organized the food of toddlers based on anthropometric age weight. Classifying nutrition toddlers digitally using data mining with the C4.5 algorithm included data collection, data selection, data transformation, data mining, and ended with evaluation and knowledge presentation. The results of this study digitally classified toddlers’ nutrition using data mining with the C4.5 algorithm at the integrated service centers in Ciasihan Village, with an evaluation value rate of 92% using 50 testing data. In conclusion, the system could classify toddlers’ nutrition with data mining using the C4.5 algorithm and help the RED integrated service center officers in the Ciasihan Village determine the nutritional classification of toddlers appropriately.
Permainan Ular Tangga: Media Pembelajaran Siswa Kelas V Sekolah Dasar

The lack of availability of learning media that adapts a traditional game causes teaching and learning activities to become monotonous, especially in social studies content. This affects the decreasing interest of students to be active in learning. The purpose of this research is to create a social media snake and ladder game for fifth grade elementary school students. This type of research is development research based on the ADDIE development model. The subjects of this study consisted of 2 material experts, 2 media experts, 2 practitioners, and 10 students for the small group test. The data collection method in this study applies a questionnaire method with a rating scale instrument as a data collection instrument. The data analysis technique used is descriptive qualitative and quantitative analysis techniques. The data obtained were then analyzed to calculate the validity, feasibility, and practicality of the media. The results of the validity analysis are in the range of scores of 4.21 ≤ Va &lt; 5.00 with very valid criteria. The average media feasibility assessment score shows a percentage above 90% in the very feasible category, and the media practicality assessment in terms of student responses gets a score of 92.2% which is categorized as very practical. Based on the results of the analysis, the Social Sciences Snakes and Ladders game media for fifth grade elementary school students on the topic of our friend's environment was declared to be very valid, feasible, and practically applied to teaching and learning activities.
Penerapan Metode OCRA dalam Menentukan Media Pembelajaran Online Terbaik di Masa Pandemi Covid-19 dengan Pembobotan ROC

Right now the Covid-19 pandemic is very troubling where people must comply with regulations that have been made by the government, namely reducing non-essential activities outside the home so that there are no crowds, at this time many educational institutions are closed for face-to-face learning activities and then online or online learning is applied. online. In this online learning there are many media that can be used so that it makes teachers and students confused to determine which media is the most appropriate to use. This study uses a Decision Support System as a system in selecting which online learning media is the best. In determining the best online learning media, it must meet criteria such as User Capacity, Visual Interaction, Friendly Features, Application Features and Internet Data Usage. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the ROC (Rank Order Centroid) and OCRA (Operational Competitiveness Rating Analysis) methods that can generate weight values and preference values from the first ranked alternative. So that the best online learning media during the Covid-19 pandemic lies in the A3 alternative, namely Moodle with a value of 2,296.
Instructional Design Map for Immersive Fencing Training in Virtual Reality

Education and learning are evolving because of the rapid speed of technological advancement in the 21st Century. Virtual Reality (VR) has emerged as one of the high-potential learning technologies for education and training purposes across a vast range of fields. In sport education VR has been utilised to enable learners to access learning environments and experiences for drill-training, complex conceptualisation and problem-solving skills. This paper presents an instructional design map for developing and improving fencing skills utilising VR technology. This interactive fencing training simulation is aimed to help to develop a solid en garde position, balanced movements, correct weapon and body position, as well as providing tactical advice and support for advanced principles of performance. Fencing is a combat sport where fencers compete in three weapon disciplines. This study focuses on one of these weapon disciplines – the foil. To develop a proposed solution three main tasks were undertaken – study of current scientific literature as well as analysis of existing VR fencing training solutions and expert interviews with professional coaches and the professional athletes. This research addresses the lack of a systematised knowledge base by examining scientific literature and analysing case study experience in order to design the basic criteria that will be used in the development of a VR learning experience for fencing training in an immersive VR environment.
Financial Data Sharing Mechanism Based on Blockchain Technology

Continuous breakthroughs in IT (Internet information technology) have added new momentum to the development of the financial industry.As one of the information technologies with great development potential in recent years, BT (blockchain technology) has the characteristics of immutability, traceability, decentralization, and complete distribution, which are different from other IT.The important reason for the rapid development of the application of BT is that it can establish trust transfer between peers without relying on third-party trusted institutions, which helps the various problems faced in the process of data exchange.BT has subverted the traditional model of finance, medical and other industries to a certain extent.At present, in the financial industry, there are often problems such as untimely updating of information and mutual trust between interdepartmental departments.BT can easily complete the construction and maintenance of financial information databases.Therefore, this article is mainly based on the research of FD(financial data) sharing mechanism based on BT.First, the data reliable connection mechanism of the BIZi network is analyzed.The results show that the three technologies that make up the BIZi network have their own characteristics.Blockchain has the strongest fault tolerance, with a fault tolerance rate of 87%.IPFS and Zigzag have advantages in storage capacity and scalability respectively.Secondly, the effect of the establishment of the FD sharing mechanism of BT is analyzed.The survey data shows that nearly half of the people believe that the establishment of the financial industry data sharing mechanism is conducive to reducing cooperation costs, 26% of people pointed out that the establishment of a sharing mechanism helps to strengthen communication between departments, and 21 people also pointed out that the data sharing mechanism can improve the efficiency of financial capital operations.
Automatic Text Summarization using Document Clustering Named Entity Recognition

Due to the rapid development of internet technology, social media and popular research article databases have generated many open text information.This large amount of textual information leads to 'Big Data'.Textual information can be recorded repeatedly about an event or topic on different websites.Text summarization (TS) is an emerging research field that helps to produce summary from a single or multiple documents.The redundant information in the documents is difficult, hence part or all of the sentences may be omitted without changing the gist of the document.TS can be organized as an exposition to collect accents from its special position, rather than being semantic in nature.Non-ASCII characters and pronunciation, including tokenizing and lemmatization are involved in generating a summary.This research work has proposed an Entity Aware Text Summarization using Document Clustering (EASDC) technique to extract summary from multidocuments.Named Entity Recognition (NER) has a vital part in the proposed work.The topics and key terms are identified using the NER technique.Extracted entities are ranked with Zipf's law and sentence clusters are formed using k-means clustering.Cosine similarity-based technique is used to eliminate the similar sentences from multi-documents and produce unique summary.The proposed EASDC technique is evaluated using CNN dataset and it shown an improvement of 1.6 percentage when compared with the baseline methods of Textrank and Lexrank.