Reviewerly/exHarmony huggingface dataset:
General-Purpose Software Tools in Teaching MMS

Nowadays, teaching of MMS involves the use of multimedia and software toolsSoftware tools and that facilitate the understanding of theoretical contents and the development of practical activities. In recent years, specific purpose tools have been developed for this purpose. However, since the constant improvement of general-purpose programs in the field of mathematics or computer-aided design, which increasingly include more toolboxes and more intuitive interfaces, this paper presents novel training methodologies based on the use of these types of programs. Specifically, the use of GeoGebra, MATLAB/Simulink and Autodesk Inventor is proposed. In view of the results obtained after the first test courses, the teaching experience can be considered satisfactory and with great potential for the future.
Optimal progressive classification study using SMOTE-SVM for stages of lung disease

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Communication for Blind Individual Using CNN and Text Summarization

Abstract: In order to bridge the communication gap between the deaf and the dumb, sign language is a special kind of communication language. There are several signs in each sign language with differences in palm size, shape, motion, and positioning of the hand, all of which are important components of each sign. Many different researchers have proposed numerous applications. Utilising deep learning principles, several notable advancements have been made in these applications during the last few years. Throughout this survey, we evaluated various hand gesture detection applications utilising recent deep learning theories. Despite significant advancements in hand gesture detection accuracy, there are still a number of issues that need to be handled. In our proposal,
Amazon’s Fake Review Detection using Support Vector Machine

Online user data is crucial to the marketing process since it affects consumers' daily lives. False product reviews have a negative impact on the enterprise's capacity to analyse data and make decisions with confidence. Some users have a propensity todisseminate unconfirmed fake news on internet sites.Today, it is crucial to be able to recognise fake reviews.Many websites provide things for sale to consumers online. Purchasing decisions can be made based on product reviews and market demand. On the basis of reviews, consumers determine whether a product is acceptable for use or not. There will be hundreds of comments about the product, some of which may be false. We provide a mechanism to identify fake reviews of items and indicate whether they are reliable or not in order to distinguish between them. This approach for identifying false reviews describes the use of supervised machine learning. This methodology was devised in response to gaps because traditional fake review detection methods classified reviews as authentic or false using either sentiment polarity scores or categorical datasets. By taking into account both polarity ratings and classifiers for false review identification, our method contributes to closing this gap. A survey of already published articles was conducted as part of our effort. Support Vector Machine[2], a machine learning technique, used in our system produced accuracy of 80%.
A novel reformed normaliser free network with U-Net architecture for semantic segmentation

Recently developed semantic segmentation network architectures include BatchNorm layer and skip connections. They are outperforming with latest training techniques, but the BatchNorm has implicit limitations such as gradients calculation and memory overhead. Hence this paper proposes a novel architecture named as NF-Unet, that combines the simple, flexible and general framework of NF-Nets and the unique architecture of encoder decoder format of U-Net network that can train with huge batch sizes. The backbone of the contracting path consists of NF-net UNet for encoding the image, for identifying the objects in the image. The proposed architecture achieved 87.37 and 70.12 mean intersection over union (mIoU) on train and test dataset and outperforms the other approaches in the literature in terms of number of parameters.
IMPROVING STUDENTS` READING COMPREHENSION THROUGH COLLABORATIVE STRATEGIC READING (CSR)

The goal of this research was to examine whether or not Collaborative strategic reading (CSR) might increase students' reading comprehension. In this study, students struggled to understand narrative texts. Researchers used one class with pre-experimental design, and the sample consisted of 28 students of class X High School Swadharma Werdhi Agung. Multiple choice is a method of data collection. Before being given treatment, students were given a pre-test and after ended treatment, students were given post-test. Based on calculations, the results of the data analysis show that the average value in the pre-test is 46.25, while the average value in the post-test is 81.42. The findings show that there is an increase between the pre-test and post-test values. This shows that CSR was able to improve the understanding of reading students in the class X of the Swadharma Werdhi Agung High School. Conclusion: Collaborative Strategic Reading (CSR) succeeds, and it is recommended that English instructors use it to teach understanding of reading narrative text.
ENGLISH TEACHING IN THE LENS OF MIND MAPPING: EXAMINING ITS EFFECTIVENESS IN IMPROVING STUDENTS’ READING SKILLS

The aim of this research is to reveal the effectiveness of using mind map technique in teaching English to improve students’ reading skills at one vocational high school in North Sulawesi. Experimental study is applied to the controlled and experimental classes. The students in the controlled class were taught using traditional method and in the experimental class by Mind Map Technique. The result of this study shows the mean scores of the test in the experimental class were 81, while the mean scores of the test in control class were 53.3. The finding shows there is an influence of using mind map technique on student reading ability. The students show responsibility and enjoy the learning process. It could be argued that Mind-Map technique can be used as one of the alternatives in teaching reading. Thus, it can be concluded that Mind Map technique is considered effective in teaching reading to students at this school. It helps them to learn the reading content as well as teaches them how to understand the content of English texts. With mind map technique, it was found that the students easily understand the texts. They could also retell the text and were able to answer the questions. Mind Map technique could improve the students’ achievement in reading comprehension text. Teaching reading by using Mind Map technique is effective rather than traditional method
The Dynamics of the Codification of Indonesian Post-Publication Republic of Indonesia Government Regulation Number 57 Year 2014

The issuance of Government Regulation of the Republic of Indonesia (PP) Number 57 of 2014 concerning Development, Development and Protection of Language and Literature, as well as Improvement of the Function of Indonesian Language has made the dynamics of the Indonesian codification even more current. Before the regulation was published, the Indonesian language codification conducted by the government was limited to publishing the Big Indonesian Dictionary IV (KBBI) IV, General Guidelines for the Formation of Terms (PUPI), and General Guidelines for Improved Indonesian Spelling (PUEYD). The research method used is descriptive qualitative method. The data collection methods and techniques used include the listening method, with the basic tapping techniques and the advanced, competent free listening (SBLC) techniques. Meanwhile, the data analysis methods and techniques used include the orthographic equivalent method, with the basic technique of determining the deciding element (PUP) and the advanced comparative relationship technique equalizing the subject matter (HBSP). The results showed that the codification of Indonesian language after the issuance of PP Number 57 Year 2014 included updating the KBBI, PUPI Workshops, and publishing a number of bilingual dictionaries (Indonesian-regional languages).
The Economics of Literature Study of Bidadari Bermata Bening Novel by Habiburrahman El Shirazy

This study aims to find the economic values contained in the novel Bidadari Bermata Bening by Habiburrahman El Shirazy. This research is a qualitative descriptive research that uses primary and secondary data sources. This study uses content analysis techniques by describing the contents of literary texts in novels and then relating them to economic theories. The results of the study found that there are many economic values contained in the novel Bidadari Bermata Bening, including: consumption, distribution, marketing, investment, production, and management. Consumption that occurs when the character buys tuna with a price difference that is not far from the market price. The distribution value is reflected in the giving of a certain amount of money for library books. Marketing is described when a merchant offers his product as an alternative to other products. Investments in novels are in the form of financing for children to study abroad. The production value is shown in figures who work in textile factories and in the operation of a service agency for the distribution of labor abroad. Management practices exist in collaboration between pesantren and local residents to provide lodging for student guardians.
ORGANIZATION OF BLENDED EDUCATION OF SENIOR PRESCHOOLERS IN CONDITIONS OF ADDITIONAL EDUCATION (PRACTICAL EXPERIENCE)

This article describes the results from our own experience of the practical use of a blended format of teaching older preschool children (children from five to seven years old) in the conditions of additional education in a number of preschool educational institutions of Moscow. Blended learning involves the possibility of switching the traditional (off-line) format of learning to distance learning (online) and back using information and communication technologies. The possibility of ensuring the continuity of the educational process of older preschoolers in force majeure circumstances through the use of blended learning in preschool educational institutions is shown. The data on the attendance of senior preschoolers in the framework of additional education for the last three academic years on the basis offive preschool institutions in the framework of off-line and blended learning formats are presented.
Theoretical Foundations of Software Relativization in Technological Programming Systems

The research claims the need for paradigmatic changes in the technological foundations of programming, which involve a transition from an individual-subjective programming paradigm to an intersubjective one. The proposed intersubjective paradigm is based on the understanding of programming as an activity conditioned by program likeness, and subject-oriented complementarity of its active and passive forms. To implement such a transition, the objectification of active-passive complementarity is considered, which is the main prerequisite for the real modernization of the understanding of programming as a reflexive-transitive closure of the programming analogy generated by the subject. The Determinant for the objectification of the active role of the subject in the context of technological programming environments is a concept — essence—simile, presented in the form of one or another specification. Passive constituent conditioning is objectified by similitude as a whole consequence of assimilation, namely by a program. To achieve this goal, a tool for logical-mathematical specifications of semantic-syntactic aspects of programming is proposed. This tool was tested on examples that demonstrated the general features of the application of the technological programming environment to the generation of subject-oriented technological programming systems and their use. In particular, the use of this tool allows to create more efficient technological programming systems that have higher quality and flexibility in performing tasks. The obtained results confirm the need for paradigmatic changes in the technological foundations of programming and are one of the possible options for solving the problem of paradigmatic changes and further technologization of programming, and also demonstrate the general features of the application of a technological programming environment for the generation of subject-oriented technological programming systems and their use.
Class-Aware Pseudo-Labeling for Non-Random Missing Labels in Semi-Supervised Learning

Semi-supervised learning (SSL) is a classic missing label problem. Existing SSL algorithms always rely on the basic assumption, label missing completely at random (MCAR), where both labeled and unlabeled data share the same class distribution. Compared to MCAR, the label missing not at random (MNAR) problem is more realistic. In MNAR, the labeled and unlabeled data have different class distributions resulting in biased label imputation, which leads to the performance degradation of SSL models. Existing SSL algorithms can hardly perform well on tail classes (the classes with few training examples) in MNAR setting, since the pseudo-labels learned from unlabeled data tend to be biased toward head classes (the classes with a large number of training examples). To alleviate this issue, we propose a class-aware pseudo-labeling (CAPL) for non-random missing labels in SSL, which utilizes the unlabeled data by dynamically adjusting the threshold for selecting pseudo-labels. Under various MNAR settings, our method achieves up to 15.0% overall accuracy gain upon FixMatch in CIFAR-10 compared with existing baselines.
ENRICHMENT OF THE EMOTIONAL AND SENSORY EXPERIENCE OF YOUNGER SCHOOLCHILDREN DURING THE STUDY OF CIVIC AND HISTORICAL EDUCATION

Current events in Ukraine, the conditions of constant danger require orientation of the educational process on the emotional and value component, activation of the emotional and sensory sphere of schoolchildren, education of a valuable attitude towards oneself, others, and the world. The formation of civic competence, one's own identity, an active civic position, enrichment of the emotional and sensory experience of education seekers is determined by the task of studying the civic and historical educational field in primary grades. The purpose of the study is to consider the theoretical and practical aspects of enriching the emotional and sensory experience of younger schoolchildren during the study of the civic and historical educational field. In order to identify the state of the investigated problem, methods of analysis of scientific sources, comparison, systematization and generalization of data were used. An analysis of the definitions of the main concepts «experience», «emotional experience», «emotional-sensual experience» was carried out. An understanding of the concept of «emotional-sensual experience of primary school pupils» is presented as acquired in the process of direct practical interaction with the world, a set of ideas, knowledge, abilities, skills in the emotional sphere, which determines the system of attitudes and values of a person. The functions of the emotional-sensual experience of younger schoolchildren are determined: valuable, emotional, evaluative, motivational, regulatory. Content components of emotional-sensual experience, the sequence of its formation in primary school age are presented. The basic skills of pupils in the study of civics and historical education are outlined in accordance with the State Standard of Primary Education. Methods of enriching the emotional and sensory experience of younger schoolchildren in the lessons of the integrated course «I explore the world» are described. A conclusion was made about the significant potential of the «I explore the world» lessons for enriching the emotional and sensory experience of younger schoolchildren. Key words: experience, emotional-sensual experience, values, civic and historical educational field, lessons of the integrated course «I explore the world», younger schoolchildren.
Enabling Efficient Personally Identifiable Information Detection with Automatic Consent Discovery

Personal data leakage prevention has now become a critical issue for implementing data management and sharing in many industries. Several data privacy regulations such as General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPPA), California Consumer Privacy Act (CCPA), and Thailand's Personal Data Protection Act (PDPA) have been issued to enforce organizations to collect, process, and transfer personally identifiable information (PII) securely. In this paper, we propose a design and development of PII RapidDiscover, an efficient Thai and English PII discovery system featured with automatic consent discovery. At the core of our proposed system, we introduce the PII scanning algorithm based on the Presidio library and a natural language processing (NLP) technique to improve the scan result of PII written in Thai and English. Finally, we conducted the experiments to demonstrate the efficiency of our proposed system.
Generating a sitemap with Quarto

Sitemaps are an easy way to list all pages that a search engine should crawl and index. Quarto supports the standard, XML based Sitemap Protocol, although that fact is a bit hidden in the docs. Quarto will automatically produce a sitemap if the website’s URL is given as site-url property: website: title: tarleb site-url: 'https://tarleb.com' site-path: '/' The URL will contain a colon :, which is why the YAML value must be put in quotes. You’ll find the sitemap.xml file in your _site...
STANDARDIZATION OF IT EDUCATION AT THE PRESENT STAGE: A COMPARATIVE ASPECT

The field of information technologies is one of the most promising both in the world and in Ukraine. Currently, there are much more vacancies for IT specialists on the labor market than, in fact, for specialists. The issue of improving the quality of professional training of future information technology specialists, the level of their professional competence, which would meet the needs of the IT industry and the requirements of employers, is becoming urgent. The article is devoted to the correlation and comparison of the standards of higher education for the training of IT specialists with international requirements and classifications of professions. To achieve the goal of the research, the requirements of the standards of higher education in the field of knowledge 12 Information Technologies, the National Classifier of Professions and international documents: Standard Occupational Classification (SOC) system, Computing Curricula 2020, European e-Competence Framework (e-CF) were analyzed and summarized. The distribution of higher education applicants in Ukraine by the number of educational institutions that train IT specialists was analyzed, it was found that the largest number of institutions focused on training future specialists in the specialty 122 Computer science. A comparison of professional types of work testified to the incompleteness of the National Classifier of Professions regarding the nomenclature of modern professions in the IT industry, in particular in the "Specialists" section. The interrelationship of IT specialties is analyzed through the analysis of the objects of activity and the theoretical content of the subject areas described in the standards of higher education, the importance of fundamental mathematical training in educational institutions is noted. The connection and differences between the basic profiles of Computing Curricula 2020 and specialties of the field of knowledge 12 Information technologies are determined.
PROLEAD_SW

A decisive contribution to the all-embracing protection of cryptographic software, especially on embedded devices, is the protection against Side-Channel Analysis (SCA) attacks. Masking countermeasures can usually be integrated into the software during the design phase. In theory, this should provide reliable protection against such physical attacks. However, the correct application of masking is a non-trivial task that often causes even experts to make mistakes. In addition to human-caused errors, micro-architectural Central Processing Unit (CPU) effects can lead even a seemingly theoretically correct implementation to fail to satisfy the desired level of security in practice. This originates from different components of&lt; the underlying CPU which complicates the tracing of leakage back to a particular source and hence avoids making general and device-independent statements about its security.PROLEAD has recently been presented at CHES 2022 and has originally been developed as a simulation-based tool to evaluate masked hardware designs. In this work, we adapt PROLEAD for the evaluation of masked software, and enable the transfer of the already known benefits of PROLEAD into the software world. These include (1) evaluation of larger designs compared to the state of the art, e.g. a full Advanced Encryption Standard (AES) masked implementation, and (2) formal verification under our new generic leakage model for CPUs. Concretely, we formalize leakages, observed across different CPU architectures, into a generic abstraction model that includes all these leakages and is therefore independent of a specific CPU design. Our resulting tool PROLEAD_SW allows to provide a formal statement on the security based on the derived generic model. As a concrete result, using PROLEAD_SW we evaluated the security of several publicly available masked software implementations in our new generic leakage model and reveal multiple vulnerabilities.