Reviewerly/exHarmony huggingface dataset:
Organization of independent work technical university students studying higher mathematics

Науковий часопис НПУ імені М. П. Драгоманова Podoprygora N., Cherednyk D. Development of educational and cognitive competence of students in the process of performing practice-oriented tasks in physics in the Vernier Digital LaboratoryThe article is devoted to the educational and cognitive competence of students of general secondary education institutions in Ukraine, in the process of performing practice-oriented tasks in physics.The methodical work of the authors is presented regarding the organization and implementation of a cycle of research activities and the development of students' general education skills in the process of setting experimental tasks in physics: research on the process of freezing water; study of the ice thawing process.For various reasons, students' interest in studying physics is constantly decreasing.Therefore, the teacher must actively introduce into the educational process methods that will constantly increase the curiosity of students, maintain their interest and activity not just in one lesson, but throughout the study of the entire topic, the entire course of physics.It has been proven that the application of practice-oriented tasks in the educational process ensures the formation of deeper theoretical knowledge and practical experience of their use in explaining natural phenomena, and the preparation of students for practical activities.Laboratory equipment includes simple digital measuring devices: an analog-to-digital converter with a Vernier LabQuest data processing screen, a Vernier stainless steel temperature sensor, and the author's home-made equipment: test tube PH -16x150 mm, measuring cylinder for 10 ml, sodium chloride (NaCl), commonly known as salt, a laboratory tripod with a holder or a foot (the test tube is immovably fixed in the foot), ice, tap water, a 400 ml measuring cup, a porcelain spoon (for pouring loose substances), a 15x4 mm glass stick (used during the experiment), which enables the implementation of the proposed tasks in the educational physical experiment.The results of measurements of physical studies are displayed on the screen of the digital unit and, thanks to the use of wireless technologies, are transmitted to the screen of a computer, tablet or smartphone.The processing of measurement results and their visualization (graphs, tables) were carried out using specialized software, which also enables the teacher to conduct educational research, observe and, if necessary, correct the student's research work.
Exploring Life trough Design. New questions, a new imagery

Design nowadays merges in new forms with chemical research and bioengineering, to create specific systems and processes and to use them for objects and tools.
Implementation of a faster R-CNN algorithm for identification of metastatic tissue using lymphoma histopathological images

Procedures for diagnosis of lymphoma includes blood tests, CT scan or MRI, and histopathological examination through a biopsy. Histopathological examination is the gold standard of diagnosis. Pathology diagnosis of lymphoma is challenging and difficult in the field of diagnostic pathology. This study aims to identify lymph node metastases using the Faster R-CNN algorithm using histopathological images of lymph nodes so that the Faster RCNN system design can help the medical team to make diagnostic decisions. Identification carried out by Faster R-CNN is by classifying histopathological images into normal classes and metastatic classes. Loss values that are not indicated for underfitting and overfitting are shown from the 10th epoch to the 20th epoch. The optimizer and the number of epochs for the optimal value of 83.3% accuracy and 71.8% recall are ADAM with 20 epochs. The accuracy and recall results obtained are quite good. 1113 metastatic images and 1478 normal images were predicted correctly, while 437 metastatic images and 82 normal images were predicted incorrectly.
Mask Detection System with Computer Vision-Based on CNN and YOLO Method Using Nvidia Jetson Nano

Health is an essential aspect of life. The World Health Organization (WHO) has officially declared the Corona Virus (Covid-19) a global pandemic that has spread to Indonesia. For preventive measures against Covid-19, the Indonesian government is trying to deal with the Covid-19 pandemic with 3M health protocol aimed at community activities, such as Memakai Masker (wearing masks), Mencuci Tangan (washing hands), and Menjaga Jarak (maintaining distance). In this study, software and hardware design was carried out to detect mask users and immediately warn violators who do not use masks automatically and can function automatically offline by utilizing digital image processing using NVIDIA Jetson Nano using the YOLO (You Only Look Once) method. The CNN YOLOv4-tiny model is chosen to obtain measurement results for mask user detection accuracy because it has a relatively minor computational value and is faster. The best camera detection angle is obtained at a vulnerable angle of 45O-90O or in the range of 90O-135O with value confidence that the average is 99.94% and the best accuracy is at a lux value greater than 70, and a minimum camera height of 1 meter and a maximum of 3 meters. Under conditions of lux 96 (bright), the maximum distance for detecting a face object is 12 meters, and the ability of the system to output a warning sound has been successfully integrated with a relay to run the mp3 module separately from the system, so as not to interfere with the Jetson Nano computation process and the model is successfully run on the Jetson Nano with an average computation of 13 frames per second.
Decision Support System for Program Indonesia Pintar Recipients Using the Fuzzy Multi-Criteria Decision-Making Method

Program Indonesia Pintar (PIP) is the development of Bantuan Siswa Miskin (BSM) program, which covers students from the learning stages of SD or MI, SMP or MTs, SMA or Sekolah Menengah Kejuruan (SMK), the PIP Program is a National Program that aims to eliminate barriers to poor students participating in studying by helping poor students get access to appropriate learning services, avoiding dropping out of school, attracting poor students to return to study, helping students fulfill their desires in upgrading activities. Through the Program Indonesia Pintar (PIP), school-age children from poor households or families can continue to study, do not drop out of school. No recipients are on the wrong target for assistance from the Smart Indonesia Program at SMP Negri 39 Pekanbaru City. The method used in the decision support system is Fuzzy Multi-Criteria Decision Making (FMCDM) which assesses alternative determinants so that they can be used in policy analysis in decision-making. The results of this decision support will help decide the best choice of several substitutes based on the selected criteria.
The Aesthetics of Consumer Tech

What makes electronics for general use, also referred to as ‘consumer tech’, so widespread and ubiquitous? Digital products and services are ideated, designed and marketed according to four fundamental characteristics: speed, simplicity, customization and gratuity. First, digital technology relates to time in an inverse proportionality ratio. The shorter the interval between the action performed by the user (and the expected result consequential to that action) the higher the level of satisfaction with the service. Second, technology and simplicity are bound together in a direct proportionality ratio. Users’ incompetence ceases to be a limitation with digital products and services; it becomes an asset. Third, digital singularity consists of digital services and products tailored on the needs of individual users. Fourth and finally, gratuity induces consumers to believe that digital technology is affordable and will become cheaper over time. The preference given by consumers to products and services designed according to these four parameters, may be represented as an ‘opportunity cost’, with important consequences on their expectations towards digital technology.
OPPORTUNITIES OF CYBERSPACE IN THE ORGANIZATION AND MANAGEMENT OF MODERN EDUCATION

In this article, the need to further improve the mechanisms of organizing education and training and make changes to its management method based on modern requirements is emphasized, the cyberspace factor is emphasized in revealing the essence of the problem, and the concepts in this direction are analyzed. The trends of correlation between the results obtained in the research process were analyzed through the law of moving from individuality to generality and from generality to particularity, and scientific-theoretical proposals and recommendations were developed through the conclusions of the research process. KEY WORDS: theory of education and training, cyberspace factor, educational platform, educational process, electronic education, virtual education, information and communication technologies, educational modernization, personalized education, cyberspace techniques, computer technology.
Naive Bayes and KNN for Airline Passenger Satisfaction Classification: Comparative Analysis

Air transportation is vital due to technological advancements and globalization. It is affordable and accessible worldwide, providing efficient services to reach destinations globally. This discussion focuses on full-service airlines that offer online-based services. Previous research indicates that available facilities and services influence passenger satisfaction. Previous research on customer satisfaction showed a correlation between satisfaction and services without accurate figures. In the present study, the customer satisfaction figure is measured using the Naive Bayes and K-Nearest Neighbour (K-NN) algorithm to obtain a tested level of accuracy. In this analysis, we will compare the effectiveness of Naive Bayes and K-NN algorithms in classifying airline passenger satisfaction. The results show that the accuracy of the Naive Bayes method of the two algorithms is higher than the K-NN method. The accuracy value of the Naive Bayes method is 84.48%, while the accuracy value of the K-NN method is 65.38%. From the test results, the precision value for Naive Bayes is 82.25%, and K-NN is 67.35%. Furthermore, the recall value for Naive Bayes is 82.43%, and K-NN is 74.33%.
Application go-sport as a solution to search information on facilities, places, partners, and sports events for students

Sport is a physical and mental activity that is beneficial for people to maintain the body and develop the quality of health. This makes exercise an activity that needs to be done for everyone to maintain their stamina. However, the lack of information about places, facilities, partners, and sports events is a strong reason in terms of reducing student motivation in carrying out sports activities themselves. The purpose of this research is none other than to design an application that can help students get all sports information. These things are none other than to foster a strong desire to do sports activities. Through technology smartphone which has been owned by the wider community, this research creates a solution by designing an application called "Go-Sport". This study uses the "Design Thinking" method, which focuses on finding and understanding user needs to obtain an optimal solution in the form of the results of the features to be made. From this research, a design or prototype of the "Go-Sport" application was produced which is ready to be implemented and tested on users.
Machine Learning is Employed to Detect Counterfeiting of Insurance Settlements

An insurance company has been grappling with widespread fraud across various types of claims, prompting collaboration with government and organizations. This fraud issue poses serious financial risks due to significant fraudulent claims. The project's goal is to employ machine learning algorithms to analyze claim data, pinpointing fraud and inflated claims, particularly in severe cases like false accident claims in auto insurance. The project involves creating a model to assess and label claims, comparing machine learning algorithms using metrics like accuracy, precision, and recall via a confusion matrix. The PySpark Python library is used to build a fraud detection model. This industry- wide problem costs billions yearly, necessitating effective solutions to reduce fraud and unnecessary expenses. Key Words: learning, pyspark, crime identificaton
The algorithm for predicting the cryptocurrency rate taking into account the influence of posts of a group of famous people in social networks

This article presents an algorithm for predicting the rate of a selected cryptocurrency, taking into account the posts of a group of famous people in a particular social network. The celebrities chosen as experts, i.e., famous personalities whose posts on social networks were studied, are either familiar with the financial industry, particularly the cryptocurrency market, or some cryptocurrency. The dataset used was the actual rates of the cryptocurrency in question for the selected period and the statistics of expert posts in the selected social network. The study used methods such as the full probability formula and the Bayesian formula. It was found that posts by famous people on social media differently affected cryptocurrency rates. The “main” expert was identified, and his posts were used to forecast the selected cryptocurrency’s rate.
Information technology for creating intelligent computer programs for training in algorithmic tasks. Part 2: Research and implementation

Information technologies, particularly artificial intelligence methods, involve more and more deeply into all spheres of human activity: science, technology, art, and education. Ukraine also has sufficient potential and needs to develop educational support, which is the subject of this paper. The work aims to demonstrate the components of information technology for the creation of Intelligent Tutoring Systems (ITS), which are involved in studying various engineering disciplines. The work includes methods of system analysis, mathematical and simulation modeling, technical diagnostics, and artificial intelligence. The proposed models and methods are implemented in ITS prototypes for teaching mathematics, programming, and the automatic control theory. The Intelligent Tutoring Systems were implemented in the educational process of KhAI University and other institutions in Ukraine, Great Britain, Austria, and China. Experimental studies have shown increased student learning success rates using ITS compared to traditional methods. Improved and adapted for computer training methods of technical diagnostics, Bayesian networks, and developed models of algorithmic tasks, the learning process and the learner are valuable from a scientific point of view. In a practical sense, the obtained results can be used to create new specialized ITSs and build an expandable common learning platform integrating the basic disciplines of a specific educational field.
Pendekatan STEM dalam Pembelajaran Online Karya Sastra Menulis Kreatif di Era Covid-19

The research is motivated by the problem of creative writing of student literary works that is not optimal. Therfore, the research aims to determine the extent to which the STEAM approach can influence online learning of creative writing of student literary works. The research method used a qualitative descriptive. The subjects of this research were students of class 2017-B1. The process of collecting data through the task of writing an anthology of poetry and the results of a short story test. The results of this research point to a pre-implementation STEM approach with an average short story writing quality of 59.47% and a poetry writing score of 57.98% which should have a minimum target score of 75%. After the post-implementation STEM approach was carried out, the final score for writing short stories was 83.40% or an increase of 3.34%, while writing short stories obtained a score of 82.34% or an increase of 3.29% from the previous target score. It can be said that the STEAM approach in online learning of creative writing of literary works is different from previous learning. AbstrakPenelitian dilatarbelakangi oleh permasalahan menulis kreatif karya sastra mahasiswa yang belum optimal. Maka penelitian bertujuan untuk mengetahui sejauh mana pendekatan STEAM dapat mempengaruhi pembelajaran daring menulis kreatif karya sastra mahasiswa. Metode penelitian menggunakan deskriptif kualitatif. Subjek penelitian ini adalah mahasiswa angkatan 2018-B1. Proses pengumpulan data melalui tugas menulis antologi puisi dan hasil tes cerpen. Teknik analisis data dalam penelitian ini dengan cara mendeskripsikan hasil menulis antologi puisi dan hasil tes cerpen. Hasil penelitian ini menunjukkan pendekatan STEM pra implemntasi dengan rata-rata kualitas menulis cerpen 59,47% dan nilai menulis puisi sebesar 57,98% yang seharunya target skor nilai sebesar 75% minimal. Setelah dilakukan pendekatan STEM pasca implementasi diperoleh skor akhir menulis cerpen sebesar 83,40% atau meningkat sebanyak 3,34% sedangkan menulis cerpen diperoleh skor sebesar 82,34% atau meningkat sebanyak 3,29% dari target nilai sebelumnya. Dapat dikatakan pendekatan STEAM dalam pembelajaran daring menulis kreatif karya sastra memiliki perbedaan dari pembelajaran sebelumnya.
Quantum Technologies and the Engineering of Josephson JunctionBased Sensors: Disruptive Innovation as a Strategic Differential for National Security and Defense

The so-called area of quantum technologies is a new and disruptive technological field, essentially from physics and engineering, with the ability to affect almost all human activities. They are based on the properties of quantum mechanics like quantum tunneling, quantum entanglement, and quantum superposition. Examples of areas of application of these emerging technologies are quantum computing, quantum communications, quantum sensing, quantum cryptography, quantum internet, quantum imaging, quantum metrology, quantum biology, among others. These technologies are of the interest of both the defense and security industry, and military and governmental actors. For military applications, and after a strong advanced engineering process, these technologies introduce new capabilities, improving effectiveness and increasing precision, thus leading to the so-called quantum warfare, wherein new military strategies, doctrines, policies, and ethics should be established. In particular, these military applications of quantum technologies can be described for various warfare domains like land, air, space, electronic, cyber, and underwater warfare and also for intelligence, surveillance, target acquisition and reconnaissance. Among those applications mentioned before, quantum computing is expected to have a number of important uses such as optimization and machine learning, associated to both artificial intelligence and blockchain. Quantum computers are perhaps best known for their expected ability to carry out Shor’s algorithm, which can be used to factorize large numbers and is an important process in the securing of data transmissions, essential for military applications. In this review of our own work, we show the physics and some of the applications of the Josephson junction which plays and important and essential role in the fabrication of quantum computers with superconducting qubits. Nowadays, applications of Josephson junction devices go from the most sensitive sensor to measure magnetic flux, called S.QU.I.D. (from Superconducting Quantum Interference Device) to the core of quantum computers, the quantum bits. The Josephson junction is an old quantum engine for a rising new world with incredible disruptive technological possibilities in engineering, especially in military applications where it plays a fundamental strategic differential for National Security and Defense.
DAMPAK DEFISIT UNSUR KALIMAT PADA FUNGSI PRAGMATIS TINDAK TUTUR ANAK DISABILITAS GANDA (Impact of Deficit Elements of Sentence there is a Pragmatic Function Speech Act of Children with Multiple Disabilities)

The limitations of children with multiple disabilities lead to distinctiveness in the sentences produced and have an impact on the understanding of speech partners. This study aims to describe the form of sentences in Indonesian children with multiple disabilities and their impact on pragmatic functioning. This qualitative descriptive research uses a longitudinal data collection method. The study subjects were three children with multiple disabilities who were severely deaf and slow to learn. Data in the form of utterances that inform the form of sentences of children with multiple disabilities and their impact on pragmatic functioning. Data collection using observation and fishing is supported by field recording and recording. The analysis uses sorting, reverse, and connecting techniques. The validity of the data uses triangulation of theories, methods, and sources. There are two results of this study. First, the sentences produced by children with multiple disabilities are holophrases sentences or one-word sentences. Second, the deficit of sentence elements gives rise to misunderstandings because it can refer to some pragmatic function so that the speech partner often does not understand fully even though the child has replaced it with a gesture. Hearing and cognitive development limitations cause disabilities to accept and understand exposure, thus impacting the sentences produced. Children with multiple disabilities experience cognitive developmental delays of 5;6–6;0. Abstrak Keterbatasan anak disabilitas ganda menyebabkan ke-khas-an pada kalimat yang diproduksi dan berdampak pada pemahaman mitra tutur. Tujuan penelitian ini untuk mendeskripsikan wujud kalimat bahasa Indonesia anak disabilitas ganda dan dampaknya pada fungsi pragmatis. Penelitian deskriptif kualitatif ini menggunakan metode pengumpulan data longitudinal. Subjek penelitian tiga anak disabilitas ganda yang menyandang tunarungu berat dan lamban belajar. Data berupa tuturan yang menginformasikan wujud kalimat anak disabilitas ganda dan dampaknya pada fungsi pragmatis. Pengumpulan data menggunakan pengamatan dan pemancingan didukung perekaman dan pencatatan lapangan. Penganalisisan menggunakan teknik pilah, balik, dan hubung. Keabsahan data menggunakan triangulasi teori, metode, dan sumber. Ada dua hasil penelitian ini. Pertama, kalimat yang dihasilkan anak disabilitas ganda berupa kalimat holofrase atau kalimat satu kata. Kedua, defisit unsur kalimat menimbulkan kesalahpahaman karena dapat merujuk pada beberapa fungsi pragmatis sehingga mitra tutur sering tidak memahami secara lengkap meskipun anak sudah mengganti dengan isyarat. Keterbatasan pendengaran dan perkembangan kognitif menyebabkan hambatan untuk menerima dan memahami pajanan sehingga berdampak pada kalimat yang diproduksi. Anak disabilitas ganda mengalami keterlambatan perkembangan kognitif 5;6–6;0.