Reviewerly/exHarmony huggingface dataset:
Continuous Face Authentication in Real Time using Web-Cam

Abstract: Face authentication is becoming increasingly important for security and identification purposes, but existing systems are often limited by factors such as lighting, facial expressions, and changes in appearance over time. This paper proposes a solution that combines deep learning techniques with adaptive face representation, enabling the system to continuously authenticate the user even in challenging conditions. this research paper also presents a newly developed model for face recognition. The model is based on a deep learning approach that combines convolutional neural networks (CNN) with a recurrent neural network (RNN) architecture. This approach allows the model to not only extract high-level features from facial images, but also to capture temporal dependencies between frames, resulting in a more accurate and robust recognition system. The model was trained and tested on several benchmark datasets, and achieved state-of-the-art performance in terms of accuracy and efficiency. Overall, The proposed model combines convolutional neural networks with a recurrent neural network architecture, allowing it to extract high-level features and capture temporal dependencies between frames for improved accuracy and robustness. The model was trained and tested on a benchmark dataset, achieving an impressive test accuracy of 100%, as well as a perfect precision, recall, and F1-score. Additionally, the paper compares the results of the proposed model to those of a traditional SVM model, which also achieved a perfect accuracy, precision, recall, and F1-score. The comparison highlights the effectiveness of the proposed approach and demonstrates its potential as a highly reliable and efficient authentication solution.
Dashboard Pre-Processing Data (DPD) as Data Analysis System with Technological Innovation to Perform Pre-Processing Quantitative Data

In essence, data in real-life always needs to be pre-processed or better known as pre-processing data. Pre-processing Data is one of the early techniques for converting raw data from various sources into cleaner information that can be used for further analysis. There are three types of pre-processing data, missing values, checking outlier data, and identifying the types of distribution in the data. Currently, statistical software that offers to be used in pre-processing data analysis has been widely and is quite familiar. However, the user is often can not run the analysis quickly. Therefore, there is the idea to create and develop an application or dashboard that can be used to solve these problems. The application this at is offered and trying to be developed is called "DPD (Dashboard Pre-Processing Data)". This application serves as a tool to pre-process data quickly and efficiently. In addition, with this application, it’s expected that users can identify missing values, data outliers, and some types of data distribution, so users can determine the analysis method that will be used on the research data they have.
Development of Learning Media Based on Gamification of Hijayyah Letters in Elementary Schools

Post-pandemic learning activities, especially in elementary schools, have been carried out face-to-face learning. Before all face-to-face learning activities are implemented, all parties must have implemented limited face-to-face learning. Limited face-to-face learning is a learning process that is carried out face-to-face between students and a limited number of school educators/teachers. Limited face-to-face meetings are carried out with 2 sessions, namely the morning session and afternoon session with 1 class in each session ranging from 10-16 students by implementing students and teachers wearing masks while learning takes place, seating between students is provided distance by emptying 1 table, before and after learning takes place students are required to use hand sanitizers. This study aims to produce a gamification-based learning media that can be used as an independent learning medium so that students can learn without being assisted by anyone and this media can be played anytime and anywhere. The research model used is the ADDIE model. The ADDIE development model consists of five stages including analysis, design, development, implementation, and evaluation. This application was tested on 19 grade 1st elementary school students. This research was conducted from January to October 2022. The results showed that this learning media was of interest to Grade 1st elementary school students and received a very good response.
Exploring English Learners’ Experiences of Using Mobile Language Learning Applications

Mobile language learning applications provide the potential to transform the way language is learned and it has been used for various purposes including language learning improvement. This investigation will contribute to which applications can support and be appropriate for students in learning English and explore more students’ experiences in using them. This research aimed to explore English learners’ experience of using Mobile Language Learning Applications in an informal learning context. This research employed a descriptive qualitative design with 25 college students. They share their experiences of using Mobile Language Learning Applications to learn English outside the classroom. The instrument used was an interview. The finding of this research showed all the participants confirm that they use mobile language learning to support their learning in English outside the classroom well which involves easy access to the materials, flexible place and time, and sophisticated features of the applications make students explore more and more learning English on the applications and they feel enjoy and fun regulate their learning pattern whenever and where ever, they find progress in learning English after they explore the apps, and students feel free to self-learning with their mobile device. It can be concluded that using Mobile Language Learning Applications outside the classroom allows learners to practice all the areas of English and these applications really supported learners’ experience to learn English based on their needs and self-learning.
English E-module Based on Mind Mapping to Enhance Student Achievement: A Study on Seventh Grade

The learning model applied today still uses conventional methods. Whereas today's students are those born and lived in the era of technological development, meaning they are the Gen-Z generation. Therefore, this study aims to develop a mind mapping-based English e-module that suits students' needs to improve their understanding of English lessons. The research method refers to Research and Development using 4D model development. Participants in this study were class VII students. Data collection techniques were carried out using observation, questionnaires, and interviews. Data analysis techniques using qualitative and quantitative descriptive analysis. The results showed that the English e-module product received a score of 4.00 from the material expert and a score of 3.60 from the media expert, which means that this product is feasible to use. This English e-module has also been tested on students and is proven to increase their understanding of learning English through their average score of 89. Thus, this English e-module provides benefits in an English-based learning model. Technology for Generation Z because of its effectiveness and practicality.
Research on the Reasons for Incomplete Learning of Mathematics Textbooks by Undergraduate Mathematics Students

Recently, the China government has increasingly attached importance to the development of basic science. As the reserve talents to promote the development of mathematics, undergraduates majoring in mathematics have received the attention of researchers for their mathematics learning. However, in practice, their learning of mathematics textbooks is not comprehensive. Through interviews, coding methods, and quantitative analysis methods, the main reasons are investigated and analyzed in this paper. The conclusions are as follows: (1) The content of the textbook and the exercises at the end of the lessons are too difficult and beyond students' ability. (2) Teachers have lazy behaviors and ask too little of their students. (3) Students themselves are lazy and take exams very seriously, lacking motivation and initiative to learn. To change this situation, the mathematics textbook can be improved to explain profound theories in simple language. Teachers can also tighten the requirements for their students. In addition, mathematics majors should also improve their requirements for themselves, overcome inertia, and reasonable scheduling, and pay more attention to the use and study of mathematics textbooks.
Generalized Net Model of Multimodal Biometric System for Authenticating an Individual by Keystroke Dynamics and Eye Tracking Techniques

In the current research work the behavioral biometrics eye tracking and keystroke dynamics are investigated. The methods are frequently used for integration between patients and medical devices. A GN model of the multimodal biometric system is constructed. It monitors the process of behavioral biometrics eye tracking and keystroke dynamics. The optimization step is added to provide the necessity for better results.
Comparison of the effect of cognitive-balance rehabilitation with Orton-Davis integrated method in the form of distance education on the overall performance of reading and understanding words and text comprehension of dyslexic children.

Comparison of the effect of cognitive-balance rehabilitation with Orton-Davis integrated method in the form of distance education on the overall performance of reading and understanding words and text comprehension of dyslexic children.
Coreference resolution algorithm for Ukrainian-language texts using decision trees

The paper examines the problem of coreference resolution in Ukrainian-language texts using decision trees. An application that uses vector representations of Elmo words and other characteristics for the automated formation of a decision tree has been developed. A set of prepared texts containing more than 360,000 words was used to form the decision tree and evaluate the accuracy of the algorithm. The decision tree created to determine whether a pair of objects is coreference was used to form clusters of coreference objects. Special metrics were used for comparison with the results obtained by other algorithms in the Ukrainian language.
First-order sequent calculi of logics of quasiary predicates with extended renominations and equality

The paper considers new classes of software-oriented logical formalisms – pure first-order logics of partial quasiary predicates with extended renomi- nations and predicates of strong equality and of weak equality.
Getting Started with Low-Code – A Data-Centric Primer for Oracle APEX

The demand for personnel being able to develop Web apps has grown tremendously. Not least to cope with this need, a plethora of “Low-Code Platforms” (LCPs) emerged, empowering “citizen developers” to build up Web apps without programming skills while enhancing productivity by removing repetitive and boring programming tasks. The comprehensive functionality of fullfledged LCPs allowing to specify every nitty gritty detail of a Web app, however, hampers their adoption. This has sparked research projects like our EU Erasmus+-project BeeAPEX, cutting a path through the feature jungle of LCPs and lowering the entry barrier for citizen developers. Based on these findings and by focusing on Oracle APEX as representative example, this paper puts forward (i) a systematic overview of low-code features to develop the main building blocks of Web apps, (ii) shade light on nature and determining characteristics of their development process and (iii) emphasize on reuse potential exploited by LCPs
A Long-lived Tunable Qubit for Bosonic Quantum Computing

This article reviews a recent experiment that demonstrated a new hybrid type of tunable superconducting qubit consisting of a two-dimensional (2D) superconducting capacitively shunted flux qubit coupled to a 3D microwave cavity.Such a 3D hybrid flux qubit has extremely long relaxation times, which are comparable to or exceed the best values reported for 2D flux qubits.This new design of frequency-tunable qubits is uniquely suited for applications in bosonic quantum computing, which exploits multiphoton states of 3D microwave cavities.
Prototyping as a Method in the Education of Software Developers and System Analysts

The aim of this paper is to position prototyping as an approach in the education of software developers and system analysts. Based on the literature analysis, the basic approaches and prototyping methods used in the development of software components and systems were analyzed and their classification was made. The purpose of the classification is not comprehensiveness, but the definition of sets of approaches and methods whose applicability in higher education curricula will be determined in the continuation of the research. The current availability of different types (approaches and methods) of prototyping in the education of software developers and system analysts is investigated. The research was conducted on the sample of undergraduate university studies curricula at the Faculty of Organization and Informatics of the University of Zagreb. Research results were compared, discussed, consolidated, and the conclusions are drawn.
SYSTEMATIC LITERATURE REVIEW: KINERJA SISTEM INFORMASI AKUNTANSI RUMAH SAKIT di INDONESIA

This study is about the factors that affect the performance of accounting information systems in hospitals in Indonesia. By using a systematic literature review method which consists of three stages, namely, planning, implementation, and reporting. The research data was obtained from Google Scholar which was published in 2013 to 2020, the initial study found in this study was 410 articles, and the total study used was 7 articles as data sources and will be analyzed further. This study only uses research with a quantitative approach. The results of a systematic literature review of all published studies state that the factors that affect the performance of accounting information systems in hospitals in Indonesia are very diverse, namely, user involvement factors, top management support, human resource capabilities, system development, and education and training programs. The main influencing factor is user involvement where hospitals should provide education and training programs for accounting information system programs so that they can improve user skills.
USING THE GOOGLE JAMBOARD INTERACTIVE BOARD IN TEACHING HIGHER MATHEMATICS

The paper considers the mechanism of using the Google Jamboard interactive board in the process of teaching higher mathematics in remote learning conditions. The main advantages and disadvantages of this digital tool are analyzed, as well as the results o
DISTANCE LEARNING OF ADVANCED TRAINING COURSE PARTICIPANTS DURING THE WAR

After the declaration of martial law on the territory of Ukraine, from March 2022, the Institute of Postgraduate Education of Kyiv University named after Borys Grinchenko, online classes were resumed. The article describes the features of distance educati
Ni vse v podatkih

The development of artificial intelligence, the growing power of computers and large amounts of data have had a significant impact on the possibilities for increasing the added value of data. Statistical data processing methods have been joined by machine learning methods and data visualization methods in various fields. In addition to numerical data, there are other forms, such as text, image, sound, etc. Until recently, data analytics dominated, which enabled the discovery of connections in data. In 2022, however, we were surprised by the generative use of large amounts of text, image and music data. Systems such as: GPT, DALL-E, RIFFUSION and others allow us to respond to our text requests with their compositions, images or music. With the available methods, the contents hidden in the data have become accessible to people in new ways. Despite everything, we must be aware that we evaluate the added value of the results obtained from the data with our knowledge and judgments. We are doing things we have never done before. Here we can find out that the data alone is not enough. So, what are they missing? It is necessary to add a "human" side to the data. It is mental interpretation to achieve knowledge, understanding and creative solutions. We will also look at modern "machine" data processing in an ambivalent light, i.e., in the light of dilemmas and some slips.
Attitude to uncertainty in students against the backdrop of post-COVID digital transformation of university education

Introduction. The article investigates the attitude to uncertainty in students against the backdrop of post- COVID digital transformation of university education. Materials and Methods. General theoretical methods were used as research methods: analysis of theoretical and practical sources, analysis of empirical studies, generalization, design. A pilot study was conducted among 182 students aged 20 to 30 using the McLane Uncertainty Tolerance Questionnaire (adapted by E. G. Lukovitskaya). Results. The study resulted in the classification of situations of uncertainty with unknown variables that emerge due to digitalization of education. These variables include: digital skills of students and teachers are not sufficient to work with different types of digital platforms; self-organization skills in students are not developed enough to achieve educational goals; no established patterns of interpersonal interaction among students; no formal or informal rules of digital ethics in digital educational environment; no rules or standards of digital hygiene for the stakeholders in education. Conclusions. The obtained data indicate that despite the ongoing digital transformation of university education, the indicators of the attitude towards uncertainty in students are within the age norm. The reason may be the students’ age as the period of mastering complex scientific and practice-oriented ways of cognizing the world as well as methods of obtaining and processing information. Another possible reason is that changes taking place in university education are not yet fully perceived by many students as situations of uncertainty. The reported data are obtained from local groups of students which does not allow for strong social and psychological predictions. A longitudinal study, however, is capable of determining the impact of uncertainty caused by the post-COVID digital transformation of university education on the attitude to uncertainty in youth.
FORMS OF ADULT EDUCATION IN THE CONDITIONS OF INFORMAL EDUCATION

The article highlights the forms of education for adults in the conditions of non-formal education.
Theoretical Approach to Overcome Difficulties in Implementing Quantum Computers

To develop large-scale fault-tolerant quantum computers, implementation technologies are required to meet extremely strict conditions.Basic research targeting such technologies is currently being conducted worldwide, and theoretical research can also make a relevant contribution.In this article, we introduce several theoretical research studies for deriving the maximum power of quantum computers with limited resources and/or restricted functions due to difficulties in physical implementation.
SIMULATION MODELING IN MODERN RESEARCH

The paper solves the problem of choosing hardware and software tools for the effective solution of scientific research and engineering problems, in connection with which a brief review of hardware and software tools used to build systems of simulation ful
Designing Quantum Computers

We have reached the stage in our development of quantum technologies at which we are now able to construct the building blocks necessary to create small-scale quantum processors and networks.The challenge is how we scale up to fully fault-tolerant quantum computers involving extremely large numbers of interacting quantum bits.
Klasifikasi Buku dan Renovasi Ruang untuk Mengoptimalkan Pengoperasian Perpustakaan Serta Minat Baca Siswa di MI Darul Huda Codo Kecamatan Wajak Kabupaten Malang

The purpose of this service is to carry out Book Classification and Room Renovation to Optimize Library Operations and Students' Interest in Reading at MI Darul Huda Codo. Based on the results of field observations it is known that the management and layout of the MI Darul Huda Codo library in Wajak District is still not good. This can be seen from the existence of a library room that is not well maintained and the existing library has not been operated. In addition, the layout and coding of the existing books has not been properly regulated and there is no adequate reading room for students who will read the books in the library. Even though the students at the school have a high interest in reading. The library functions as a vehicle for education, research, preservation, information and recreation to increase the intelligence and empowerment of the nation. The implementation mechanism for book classification activities and library room renovation at MI Darul Huda Codo starts with planning to evaluating activities which are described as follows; (1) planning improvement and development; (2) planning a library management mechanism; (3) to collect book data; (4) classifying and coding books according to the DDC system; (5) library room renovation; and Evaluation. From the results of the implementation of the book classification program and the renovation of the library space at MI Darul Huda Codo, Wajak District, Malang Regency, it can be concluded that the distribution of knowledge about book classification to library administrators makes it easier for administrators to manage the library, even libraries that were initially inoperable became operational. Apart from that, with the renovation of the library room, MI Darul Huda students feel comfortable in the library so that their interest in reading is getting higher.
Learner Autonomy and Agile Learner on Student Independence and Literacy

There are several problems in the learning process where students are forced to do learning at home. It impacts students' reading and writing literacy which is still low. This study aims to analyze the effect of Learner Autonomy and Agile Learner on the independence and literacy of elementary school students. The type of research used is a quantitative approach with the Ex-Post Facto method. The population was 159 students, using the non-probability sampling technique so that the research sample amounted to 51 students. The data collection method used in this study was a questionnaire. The data collection instrument is in the form of a questionnaire. The data analysis technique used in this research is the quantitative analysis and inferential statistics. The results of data analysis, namely the results of the t-test, are obtained in the coefficients table, which is 3.366, so learner autonomy directly affects student independence. The results of the t-test, obtained in the coefficients table, are 30.446 so that Agile Learner does not directly affect students' metacognition awareness. The coefficients table shows 30.446 showings 0.313, so Learner Autonomy does not directly affect literacy. The coefficients table shows 0.613. So Agile Learner does not directly affect students' literacy. The coefficients table shows 1.68, so independence directly affects students' literacy. It was concluded that students' Learner Autonomy was in a low category, students' Agile Learners were in a low category, students' independence was in the high category, and students' literacy and literacy were in the high category.