Reviewerly/exHarmony huggingface dataset:
K-affinity propagation clustering algorithm for the classification of part-time workers using the internet

There has been a significant increase in the number of part-time workers in the last 3 years. Data collected from sakernas BPS showed that the number of part-time workers was 125,443,748 in the second period of 2016. This number rapidly increased in 2017, 2018 and 2019 in the same period, by 128,062,746, 131,005,641, and 133,560,880 workers. Based on the increase in the last 3 years, East Java province has the highest number of part-time workers that use the internet. This research aims to determine the number of part-time workers that use the internet by using the k-affinity propagation (K-AP) clustering. This method is used to produce the optimal number of cluster points (exemplar) is the affinity propagation (AP). Three clusters were used to determine the sum of the smallest value ratio. The result showed that clusters 1, 2, and 3 have 3, 23, and 5 members in Bondowoso, Jombang, and Surabaya districts.
Discrete Listwise Collaborative Filtering for Fast Recommendation

Listwise collaborative filtering, which directly predicts a ranking list of items for the given user, achieves superior accuracy performance since it is aligned with the ultimate goals of recommender systems.However, in corpus with the enormous number of items, the calculation cost for the learnt model to predict all user-item preferences is tremendous, which makes full corpus retrieval extremely difficult.In this paper, we propose a binarized collaborative filtering method, called Discrete Listwise Collaborative Filtering (DLCF), to represent users and items as binary codes for fast recommendation.As such, the proposed method could accelerate the retrieval procedure, since the user-item similarity could be efficiently computed via Hamming distance.We further adopt the discrete coordinate descent method to jointly optimize our proposed model.Extensive experiments performed on three real-world datasets demonstrate that 1) DLCF significantly outperforms the state-of-the-art binarized recommendation methods, and 2) DLCF shows very competitive ranking accuracy compared to its real-valued version while significantly improving the retrieval efficiency.
Implementation of Instructor Teaching Method to Promote Active Participation of Computer Training Participants

This research is motivated by the success of the participants in achieving the goal of developing knowledge and skills about computers. The existence of the Putri Gumanti Community Learning Activity Center (PKBM) through computer training programs helps to realize the wishes of participants in achieving the program implementation goals provided by the institution. The research approach is qualitative, with the type of case study research. Sources of data in this study consisted of training participants as subjects, and instructors and managers as informants. Data collection techniques used are interviews, observation and documentation. Data analysis techniques used are data reduction, data presentation, and drawing conclusions. The data validity technique uses source triangulation and method triangulation. The results of this study indicate that: (1) The trainees are active and enthusiastic in listening to the instructor in delivering the material; (2) The instructor provides space for participants to ask questions, have opinions, discuss and work together in the learning process, the effort is made so that the participants are active in participating in the training; (3) In carrying out the practice the participants help each other if someone is having difficulties; (4) The use of varied methods is considered very effective in the implementation of the training so that participants do not get bored easily.
Issues of Definition and Potentialities of Transdisciplinary Approach in Post-non-classical Science

The main task of the article is an in-depth theoretical analysis of the transdisciplinarity phenomenon. To accomplish it, we carried out a comparative analysis of the main integrative forms of modern scientific knowledge. The basic approaches to the definition of transdisciplinarity are considered. We explored two dominant areas that stand out in Western European transdisciplinary research and methodological works: ontological and methodological. The analysis of B. Nicholescu’s onto-epistemological approach led to the conclusion that, unlike particular disciplines that study specific fragments or levels of reality, a transdisciplinary strategy is an attempt to understand the dynamics of the process at several levels of reality at the same time. That is why it crosses the boundaries of specific disciplines and creates a universal picture of the process under study. The methodological framework of transdisciplinary research is outlined and its specific purpose is defined. The realization of this purpose is possible only if the respective requirements are met.
Active Processes At The Junction Of Word-Formation And Morphology In Internet Communication

The paper demonstrates the significance of computer-mediated discourse as an object of linguistic research.The author points out the ability of this discourse, on the one hand, to reflect the latest trends in the development of the national language and, on the other hand, to influence its current state and development.It is noted that there are units and categories in the Internet language that are difficult to interpret unambiguously both due to their ambiguous/uncertain nature and to the theoretical, methodological and philosophical reasons.We point out that specific features of such units need to be determined as a means that would facilitate research in related areas.A number of linguistic phenomena at the junction of word formation and morphology are identified and characterised.Some cases of syncretism of the word-formation and morphological means are noted.The issue of the relationship between speech anomalies and language development processes is discussed; attention is also drawn to units whose grammatical semantics is in conflict with their lexical meanings and/or the meaning they form.Specific difficulties arising in qualification of new derivatives as parts of speech are indicated.The descriptive method is cited as the principal method that meets the local objective of the research; attention is paid to the techniques for collecting linguistic material on the Internet.
MODELING A DYNAMIC THREE-DIMENSIONAL BODY USING INTERFLATATION AND BLENDING APPROXIMATION

The paper deals with the problem of reconstruction of the internal structure (density, absorption or attenuation coefficient) of a three-dimensional body by the information about it in the form of tomograms, given on a certain system of planes intersecting the object of study. This problem arises in practice in cases where there is no plane among the planes that are included in the experimental data, which consists of one or another set of points that are of interest to the researcher. For example, such a problem may arise after a patient has undergone examinations on a medical tomograph. After analyzing the obtained tomograms, it becomes necessary to find with their help one or more tomograms in the planes intersecting the body, but not coinciding with any of the given planes. It is noted that the operators of interflatation of functions is a natural generalization of the interpolation operators for the functions of three variables. Therefore, as in the case of interpolation, errors in the experimental data (in this case, in tomograms) are also introduced into the interflatation operators. In mathematics, there is an alternative to interpolation operators, namely approximation operators. These are operators constructed by smoothing experimental data using polynomials, rational functions, trigonometric polynomials, wavelets, and the like. An operator of mixed approximation of a function of three variables is constructed using Bernstein polynomials; the general form of the approximation error by the constructed operator and the estimate of this error are given. In the paper a four-dimensional mathematical model of a three-dimensional body that changes over time is also built and studied. A computational experiment is presented to restore the internal structure of the human heart from tomograms lying on a system of mutually perpendicular planes, which come from an actually operating computer tomograph. The article presents some possibilities of working with tomograms when restoring the internal structure of a three-dimensional body from the known projections of this body (tomograms).
Choosing a web service for conducting streaming lectures for engineering students

Introduction. The relevance of the topic is due to the massive transition of educational institutions to distance learning, caused by the pandemic of the new coronavirus infection in 2020. In this regard, educational institutions are faced with the need to choose web services for conducting training sessions in the format of webinars. The object of the research is web services used for conducting classes in a distance format. The subject of the research is the criteria for choosing a suitable web service for conducting streaming lectures. The theoretical significance of the work lies in determining the criteria for choosing a web service for streaming lectures, taking into account the specifics of the lesson. Scientific novelty – the rationale for choosing a web service for organizing continuous distance learning during a coronavirus pandemic. Materials and Methods . When writing the article, the author used empirical methods (survey of pedagogical staff of the Nizhny Novgorod region; pedagogical experiment on the basis of Minin University); theoretical (analysis of domestic and foreign literature, study of pedagogical, methodological literature and other documents, generalization, comparison, forecasting). Results. A survey of teachers in the field of teaching made it possible to determine the most popular web services that allow organizing lessons in a distance format. These services include: Webex, Zoom, Skype, MS Teams, Google meet. The main criteria to consider when choosing a web service for streaming lectures are the number of participants who can simultaneously participate in the webinar and the duration of the group video call. Discussions and Conclusions. The advanced functionality of the web services is provided with a paid license. Free versions of services for organizing streaming lectures have a number of functional limitations. Therefore, the choice of a web service is an individual process and depends on the requirements of the teacher to the educational process.
Pengujian Usability Pada Aplikasi Auto Reply For Messenger Menggunakan SUS

Marketplace is an important intermediary between sellers and buyers in cyberspace. Marketplace sites are third parties in online transactions. Many resellers use the site to make sales transactions. However, when we engage in online sales, there are many factors that must be considered, one of which is replying to customer chat messages. This is very important in the world of sales even required to respond quickly. The problem is that sometimes resellers have activities other than selling online, so sometimes customer messages are late in responding and even unresponsive. This study aims to determine how effective and efficient it is in handling customers using Chat Bot Messenger. The research method used is blackbox to determine the application function is running well and to evaluate the usability of the system using the System Usability Scale (SUS). The test results produce an average value of 81 which means users like the application that is used because it is able to provide convenience during sales transactions.
Optimizing Multimodal Literacy in Elementary School Learning

&lt;em&gt;This article is a theoretical review for describing multimodal literacy in elementary school learning. The exposure in this article is based on the application of multimodal literation. This paper relates to the pedagogic aspect of the implementation of multimodal literacy learning in the view of constructivism. Learning aims to prepare students for the era of the 4.0 Industrial Revolution. The idea of Literation has now changed because at this time it relates to digital content. Thus, multimodal literacy needs to be examined to explain the role of multimodal literacy in elementary school learning&lt;/em&gt;
Revisiting UML Class Relationship Recovery for Online Education (SEKEEO) (S)

UML recovery has been a long-standing challenge for the software-engineering community.The complete recovery of UML class relationships needs the employment of both static and dynamic code analyses.However, the dynamic-code analysis is not usually applicable at the design time of programs and especially for incomplete programs in online education.To overcome this restriction, we propose a formally defined set of mappings between UML relationships and object-oriented relationships that are based on static-code analysis exclusively.We evaluate the precision and the recall of our mappings on student projects against ground-truth UML diagrams and against diagrams recovered by existing UML class recovery tools.
Blockchain Technology: A Catalyst for Change in Finance

Blockchain is one of the most disruptive innovations in the field of technology in 21st century. Blockchain, a distributed ledger technology (DLT) and smart contracts, has emerged as a ground-breaking application in the financial sector. The three key properties of Blockchain technology, Decentralization, Transparency and Immutability have created a huge impact on the banking and finance industries. As technology is the main driving force in Blockchain and its various applications, it will also act as an enabler to sustainable finance which will ultimately lead towards achieving sustainable economy and also sustainable development. This study is an attempt to understand the far-reaching potential of Blockchain technology and its applications such as Bitcoin in the banking and financial services sector. This study has also highlighted the benefits and disadvantages of using Blockchain technology on the banking and finance industries. This study is entirely a theoretical overview based on the available research in the area of Blockchain technology and its application in financial sector. This study will help to understand the future of financial sector in the advent of incorporation of Blockchain technology.
Integrating Politeness Principles and Strategies in Counselling Technique: A Phenomenological Study

Politeness is an important academic topic. An action must be taken to prevent rudeness. As a result, this study investigates how counseling techniques can modify students' behavior to be more courteous by implementing politeness tactics and concepts. Furthermore, the purpose of this study is to determine why counseling strategies may alter students' perspectives. The research was conducted using a phenomenological study using an observation checklist and interview guideline. The instruments were triangulated for validity. Data collection, data condensation, data display, and conclusion were all used in the data analysis. The findings revealed that Counselling Technique could have an impact on the outcome. The findings revealed that Counselling Technique had the ability to change students' conduct to become more polite. The students used negative politeness methods to consult with the instructors during its execution. Furthermore, students used all of the politeness standards, including the tact principle, generosity principle, modesty principle, approval principle, compassion principle, and agreement principle. In summary, the counseling strategy could be employed to help pupils with their behavioral issuesKeywords: Politeness principles, strategies; counselling technique, Phenomenological study
DIRECTIONS FOR IMPROVING THE METHODOLOGY OF TEACHING EDUCATIONAL DISCIPLINES TO MASTER OF EDUCATION, PEDAGOGICAL SCIENCES

The article examines the problems of professional training of masters in pedagogical sciences in higher education institutions; analyzes theoretical and methodological bases for improving the methods of teaching academic disciplines in the professional training of masters; proves the necessity of their modernization by introducing innovative methods and teaching technologies, dialogical interaction of the subjects of the educational process. Implemented the methodology of teaching academic disciplines to masters of educational, pedagogical sciences in a distance learning environment.
Professional education transformation: the impact of globalization and digital technologies

The article analyzes the current conditions for the development of vocational education; the historically formed preconditions for the current situation are formulated, possible points of growth are identified.
Мотивація як корелят розвитку психолінгвістичної компетентності у студентів

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Machine Learning Models: Learning Algorithms in Crime Investigation

This article introduces machine learning, which is all around you, although you may not even know it.Thanks to machine learning, the search engine understands what results (and advertising) to display in response to your query.When you scan your mail, most of the spam passes you by because it has been filtered out by machine learning.If you decide to buy something on Rozetka.com.ua or watch YouTube to watch a movie, the machine learning system will helpfully offer options that you may like.With machine learning, Facebook decides what news to show you, and Twitter selects the appropriate tweets.Every time you use a computer, machine learning is involved.The only way to get the computer to do something is to write an algorithm that carefully explains to the machine what is required of it.However, machine learning algorithms guess everything themselves, drawing conclusions from the data, and the more data, the better they become.Computers don't need to be programmed; they program themselves.Artificial intelligence techniques have proven to be a promising tool in crime investigation.With the help of these methods, effective diagnostic and predictive tools can be developed to detect various crimes.In the future, artificial intelligence programs may become an integral part of the investigation of crimes.The police must be proactive in understanding theories of artificial intelligence and its usefulness in investigating crimes.
Influencing Factors of Athletes’ Injury Rehabilitation from the Perspective of Internal Environment

Athlete’s injury recovery is related to the athlete’s personal value. A scientific and effective rehabilitation program will help athletes overcome their illnesses and return to the game as soon as possible. Based on the literature review and the internal environment perspective, this paper constructs a model of factors affecting athletes’ injury rehabilitation. Through the empirical analysis of 129 questionnaires, we have verified the research hypothesis of each factor. The research results show that psychological adjustment, rehabilitation learning, and video reflection have a significant positive impact on athletes’ injury rehabilitation, while imagery has no significant impact. This research provides a reference plan for athletes to adopt effective injury rehabilitation training methods. At the same time, we have also enriched the research literature on athletes’ injury rehabilitation solutions.
Criminal procedure and criminalistics aspects of obtaining information about Internet users in the course of investigative actions

This article states that against the background of user interaction with the Internet resources, several groups of traces are formed: the first characterizes the formal or technical side of the user’s connection to the Internet (IP address, MAC address or IMEI, time and period connections); the second group of traces reflects the content or informational component of the connection (personal data of the user; his actions with multimedia content; reflects the interaction with subscribers: correspondence, sending information), for obtaining information about which there are significant difficulties. Therefore, it is proposed to consider the features of the production of individual investigative actions in order to extract forensically significant information from the Internet.
Learning Literature Using 4M Methods as an Effort to Increase Reading Interest of Elementary School

Indonesia has implemented online learning in the past 2 years as an effort to minimize the transmission of the Covid-19 virus. The purpose of this study is to determine and measure reading literacy skills by providing treatment which is expected to increase reading interest in school students. The implementation of this community service program is expected to increase student interest in learning and be able to help facilitate teachers and parents in guiding and assisting children in online learning. Included in literacy learning using the 4M method as an effort to increase student interest in reading in elementary schools with inclusive education is carried out online. The method in this study uses quantitative methods. The results showed that there are still many elementary school students who do not know and understand literacy learning using the 4M method. Students' understanding of literacy learning using the 4M method can be improved by providing material through learning videos that can be accessed on YouTube provided by educators. The results showed that the average post-test score of students was 87.0% greater than the average pre-test score of 47.75% with a difference of 39.25%. Therefore, core competencies can increase students' interest in reading literacy.
Marc-doa for Cognitive and Psychomotor Learning: Preliminary Design and Evaluation

Marc-doa application is Mobile Augmented Reality cubes used as a learning media for children, focusing on cognitive and psychomotor learning. The contents of this application are daily prayers for Muslim children and designed in the form of audio-video animations. The development of the Marc-doa application uses the Multimedia Development Life Cycle method. This research aims to discuss the design and evaluation of Marc-doa. Evaluation and technical tests are conducted on several aspects, specifically on the detection process, distance, angle, and surface area. In addition, the testing process is to identify the ideal conditions for the use of Marc-doa. From the evaluation and testing process, four markers showed good results. Only one marker does not show the results as expected. The ideal distance for using Marc-doa application between 25-40 cm. The angle for ideal reception between 0-30 degrees and the surface area Marc-doa application can detect markers correctly between 50%-100% surface area. The ideal distance, surface area, and conditions for utilising Marc-doa application were obtained from this research.