Reviewerly/exHarmony huggingface dataset:
A Survey of the Interpretability Aspect of Deep Learning Models

Deep neural networks have attained near-human degree of quality in images, textual, audio, and video recording categorization and predictions tasks. The networks, on the other hand, are still typically thought of as black-box functional probabilistic models that transfer an input data to a trained classifier. Integrating these systems into mission-critical activities like clinical diagnosis, scheduling, and management is the next stage in this human-machine evolutionary change, and it necessitates a degree of confidence in the technology output. Statistical measures are often employed to estimate an output's volatility. The idea of trust, on the other hand, is dependent on a human's sight into a machine's inner workings. To put it another way, the neural networks must justify its outputs in a way that is intelligible to humans, leading to new insights into its internal workings. "Interpretable deep networks" is the name we give to such networks. The concept of interpretability is not one-dimensional. Indeed, the variability of an interpretation owing to varying degrees of human comprehension necessitates the existence of a plethora of characteristics that together define interpretability. Furthermore, the model's interpretations may be expressed in terms of low-level network variables or input properties. We describe several of the variables that are helpful for model interpretability in this study, as well as previous work on those dimensions. We do a gap analysis to determine what remains to be improved to increase models interpretability as step of the procedure.
An Analysis of Evolutionary Methodology for Interpretable Logical Fuzzy Rule-Based Systems

Machine modeling approach entails constructing dynamical prototypes explaining the performance of real networks from measurable data using analytical models and technologies. Using Fuzzy Logic (FL) necessitates a trade-off between interpretability and efficiency. According to essential theories and system identification techniques, achieving precise and also human-comprehensible FL plays is fundamental and plays a crucial role. Prior to the introduction of soft computing, however, FL model makers' primary priority was reliability, bringing the resultant FL nearer to black-box frameworks like neural networks. Fortunately, the Infinite-valued modelling scientific world has returned to its roots by exploring design strategies that address the interpretability and accuracy tradeoff. Because of their intrinsic versatility and capacity to examine several optimization criteria simultaneously, the application of evolutionary FL control has been greatly expanded. This paper is a study of the most typical evolutionary Infinite-valued technologies that use Mamdani Infinite-valued rule-based approaches to produce interpretable logical Fuzzy Rule-Based Systems (FRBSs), which are highly interpretable.
A Study on the Integration of Teaching, Learning and Evaluation in Senior High School English Classroom Based on the Core Competence of English Subject

English Curriculum Standards for General High School (2017 edition, Revised in 2020) proposes that the complete teaching activities should include teaching, learning and evaluation, which requires English teachers to revolve around the idea of the integration of teaching-learning-evaluation to carry out teaching practice in high school English classes, which can effectively develop each student's core competencies of English subject.Through observing four classes in the first grade of a high school and interviewing four English teachers of these classes, aiming to answer the following questions: 1) What is the current situation of the implementation of the integration of teaching-learning-assessment in senior English class based on the core competences of English subjects?2) What are the causes of these problems?The study finds that the current problems are as follows: there is inconsistency in the goals of teaching, learning and assessment; and the class lacks assessment and its method is simple; besides, the students' learning situation cannot achieve the learning goals.Through interviews, the reasons are as follows: first, teachers' awareness of the integration of teaching, learning and assessment isn't strong enough; Second, teachers lack the awareness of evaluation; Third, teachers' awareness of students' analysis is slight weak.At last the study puts forward the following suggestions to solve these problems: first, teachers should strengthen the understanding of the integration of teaching, learning and assessment; Second, teachers should enhance the awareness of evaluation in the classroom; Thirdly, teachers should strengthen the connection between learning situation and teaching design.
Comparing the characteristics of blockchains via building a NFT marketplace

Blockchain is a ground-breaking technology that will soon have a significant positive impact on our commercial environment. Non-Fungible Token is referred to as NFT. A digital representation of a real-world item, such as music, art, in-game items, or films, can be referred to as an NFT. They are typically exchanged online using various cryptocurrencies. Different from fungible tokens that are bought or sold on numerous centralised or decentralised exchanges, non-fungible tokens transacted on an NFT marketplace. NFTs are unique. Every NFT has a digital signature that prevents them from being altered for another NFT. Each has a unique value based on a number of variables, including metadata, creator,features, etc. The NFT marketplace, which gives users a platform to create and exchange Non-Fungible Tokens, is meant to be at the centre of all the fantastic use cases for NFTs. The software will be compared to other well-known systems like Opensea, etc., whose major transaction volume is on the Ethereum blockchain network. In this endeavour, we will focus on establishing an NFT Marketplace using the Internet computer. We would interact with the internet computer using Motoko, and the front end of the application would be made with Reactjs.
Models for implementing blogs from the perspective of sustainable media development

The information leap in demand for online products during the global pandemic has formed an aggregate, integrated part of the world’s media system on the scale of the Internet’s unified information space. Their sustainable development is a necessary element of media development in general. This study shows the upwardly steady tendencies of blogosphere development as a relatively new mass media trend. The article deals with the typology of blogs and reveals the regularities of their integration into the culture of modern mass media and Internet users. Blogs are an aggregate of various elements: artistic, graphic and illustrative; they have different forms of presentation and perform specific functions. As a body of information they complement each other. The system of elements is arbitrary and inconstant, but it is the way they are organized on a given site that determines the features that are striking immediately upon reading the blog materials. Each element performs a well-defined function, “working” towards the goal, the intended totality, as shown in the article.
Analysis of the occurrence of evacuation assistance for wheelchair users by tsunami evacuation drill observations

Abstract In 2011, the Great East Japan Earthquake caused great damage to the elderly and disabled, as well as many of the people who supported their evacuation. Various measures and evacuation drills are under way for evacuation of vulnerable people, and when evacuating, it is often decided who will support the evacuation of the vulnerable people. However, there is a need for a mindset that anyone can become an evacuation supporter because there is a possibility that it will not go as set in the actual situation. Therefore, in this study, in order to enable more efficient evacuation of wheelchairs, we measured the evacuation speed and observed an evacuation drill conducted in Nakatosa Town, and examined them separately in 4 phases: preparation, evacuation start time, evacuation action time, and evacuation spare time. As a result, factors to be reflected in evacuation drill and assistance action types for wheelchair evacuation were derived. By incorporating the verification used in this study into the tsunami evacuation plan, we hope to contribute to reducing human damage, including those who vulnerable people and their supporters.
Components and criteria of economic culture of future teachers

This article provides an integrated description of the teachings of Eastern and Western pedagogical psychologists on economics and economic culture, economic culture, a comprehensive approach to this process in relation to philosophical, legal, economic, sociological, psychological and pedagogical aspects. information is required. The components of economic culture are defined as economic education, economic education, economic activity, and the criteria for the development of economic culture: cognitive, motivational, creative-activity, and on the basis of these criteria are identified indicators corresponding to three (high, medium and low) levels. It has been proven that the formation of financial literacy of future educators is a social necessity.
The study of the effectiveness of tools and functionality of the Tilda platform for website development

This manuscript constitutes a comprehensive investigation designed to evaluate the potentiality of the Tilda platform’s instruments and functionalities for web development. The inquiry rigorously scrutinizes the inherent features of Tilda, incorporating, but not circumscribed to, its compatibility with prevalent web technologies such as HTML, CSS, and JavaScript, its expansive template library, its search engine optimization (SEO) utilities, the adaptability of its Zero-block functionality, and its interfacing with supplementary third-party services. Concurrently, the study undertakes a systematic comparative assessment that juxtaposes Tilda against analogous website development platforms. The study culminates with demonstrative applications of the platform, integration with a popular messaging service, and an exposition of its pricing policy.
Basis of the digital economy: use of information and communication technologies in higher education

The intensification of the processes of the digital economy development is leading to the transformation of the higher education system. Universities are forced to digitalize their own educational, research, international, marketing, financial and economic activities in order to maintain a competitive position in the global market of educational services. The purpose of the article is to study the role of information and communication technologies in the development of the higher education system and to ensure its adaptability to modern challenges of digital economy. To achieve this goal, methods of content analysis, logical generalization, systematization and a structural-functional method are used. In the article, the authors substantiate the urgency of forming a holistic strategy to ensure the adaptability of higher education to the challenges of digital economy. In the structure of this strategy, the information-technological block is singled out and described. The authors specified a set of positive synergetic effects from the introduction of modern information and communication technologies in the activities of universities. The main information threats to the digitalization of higher education related to the protection of personal data and university systems from cyberattacks and fraudulent schemes are identified. In conclusion, the authors detail the measures for the strategy implementation to ensure the adaptability of higher education to digital economy.
Description of the Basic Tools of Augmented Reality in the Design of Computer Models in Unity

The creation of computer models is an integral part of the design and analysis of various processes. We can see them in almost all areas of our life. The individual procedures and methods used in these activities were constantly developed and improved over the years. Several activities played a major role in this, such as the rapid development of information technologies, not only in the field of software but especially in the field of hardware. With each passing year, we have more powerful devices at our disposal, which enable high efficiency and have the required performance. A related area in which rapid development has occurred is mobile devices, in which their operating systems and hardware enable the implementation of previously impossible programs. If we consider all these factors, it is understandable that new tools are used for simulations or computer models creation. The presented contribution aims to describe the possibilities of using the selected tools of the Unity and Vuforia development environments when using augmented reality elements in the computer model design. We will describe the insertion of an external robot model, the connection with the Vuforia environment, and the simple creation of animation without the need to create a script.
The development of critical thinking as the main factor in the competitiveness of an ecologist

The purpose of the research : to consider the problem of the development of critical thinking among students in the educational process of a technical university. Scientific hypothesis : The emergence of a new generation of high technologies has caused an urgent need to review the skills necessary for a future specialist for successful professional activity, placing emphasis on teamwork and creativity, learning through games and research that develop critical thinking, student initiative outside the educational program. The concept of education development notes that quality education is one of the main factors of a person’s success, and the teacher who provides it is both an object and a conductor of positive changes in a person’s personality. As a result, the training programs for future specialists in technical areas must meet the standards of global trends, social needs and professional standards. Employers increasingly need new generation specialists who will be in demand in modern high-tech industries in the country. At the moment, the task is to prepare a highly qualified specialist who is able to professionally apply, in practice, modern forms, methods, and techniques based on the formed competencies and abilities, and also be ready to solve actual problems in practice [1]. Achievement of the set goal should occur through methods and technologies that will allow solving practical problems to ensure the effectiveness of the educational process in higher education.
Standardization perspectives applicable in the field of artificial intelligence

This paper presents a study of the current state of standardisation opportunities in the field of Artificial Intelligence looking forward to 2030. As an example of the artificial intelligence technologies use for development purposes, the team of authors considered general education activities. The study analysed and established the potential risks of using AI technologies in educational activities and cited factors which, according to the authors, could constrain the development of the AI field. The characteristics of GOST 59895-2021, GOST 59900-2021 and GOST R 59899-2021, which came into force in 20022, are given. As a conclusion to the paper, practical recommendations on the application of new GOSTs in the field are given. The mentioned GOSTs in perspective should allow removing restrictions on the use of AI technologies in education, overcoming the difficulties of assessing the applied effect of the use of artificial intelligence systems.
Approach to environmental issues

Z-numbers have been used to address environmental monitoring issues. A computational experiment based on a combination of odd and even numbers was also performed and their comparative analysis was considered. Results of experimental research using Z-assessment in obscure conclusion systems have been applied, and this approach has been used to address environmental monitoring issues in the case of a poorly formed process.
Decentralized energy: a prerequisite for the distribution of decentralized technology

The emergence of decentralized technology has brought about significant advancements in various industries, promising increased transparency, efficiency, and trust in transactions and data exchange. However, for decentralized technology to truly flourish and realize its full potential, it is crucial to establish a foundation of decentralized energy sources. This article explores the critical relationship between decentralized energy and the distribution of decentralized technology. By examining the limitations of centralized energy systems, the benefits of decentralized energy, and the synergies between decentralized energy and technology, we highlight the necessity of decentralized energy as a prerequisite for the widespread adoption of decentralized technology.
Classification methods and models for automatic determination of goods code by foreign economic activity goods nomenclature

Classification methods and models for automatic determination of goods code according to the commodity nomenclature of foreign economic activity (CN FEA) are considered. In the classification procedure, the object is reduced to one or more classes based on the results of the comparison to evaluate the proximity and make a conclusion. The relationship between vectors calculated by scalar multiplication was used as a measure of proximity. In order to determine the most informative symbols for classes, linguostatistical methods based on the information about the a priori probability of occurrence of terms and symbols were used. In doing so, macro-average and micro-average methods, which are considered effective in assessing the quality of classification for several classes, were used. Also, on the basis of syntactic and linguostatistical analysis, a generalized scheme of the process of automatic classification of goods in column 31_1 of the goods declaration graph is proposed. This recommended method of automatic identification of the CN FEA code allows participants of foreign economic activity to ease the processes of filling out declarations for goods.
Ensuring the security of web applications operating on the basis of the SSL/TLS protocol

SSL/TLS (Secure Socket Layer/Transport Layer Security)-enabled web applications are designed to provide authentication based on a public key certificate, as well as generating a secure session key and traffic privacy based on a symmetric key. Today, a large number of e-commerce applications such as stock trading, banking, shopping and gaming rely on the robustness of the SSL/TLS protocol. Recently, a potential threat known as a Man-in-the-Middle or main-in-the-middle (MITM) attack has been used by attackers to attack SSL/TLS-enabled web applications, especially when users want to connect to an SSL/TLS-enabled web server. SSL/TLS. The current article discusses the Man-in-the-Middle attack threat for SSL/TLS-enabled web applications. The existing solution space for countering a MITM attack on SSL/TLS-enabled applications is also considered, and an effective solution is proposed that can resist a MITM attack on SSL/TLS-enabled applications. The proposed solution uses a soft token approach for user authentication in addition to SSL/TLS security features. The proposed solution is claimed to be safe, effective and user-friendly compared to similar approaches.
Application of machine learning in the classification of traffic in telecommunication networks: working with network modeling systems

The issues of classification of online traffic in the framework of the work of network infrastructure modeling systems are considered. The main classifiers C4.5 Decision Tree, Random forest Method, SVM, KNN are considered. The parameters responsible for the speed of the platform are substantiated. The 8CoS model is described. The parameters Accuracy, Sensitivity, Specificity are defined. As part of load testing, a method with the least load on the computing power of the platform, C4.5, was identified. The parameters of the model building time and the general processing time for the case with the number of classification instances up to 2000 are determined. The points at which the C4.5 model gives advantages are identified. Each method was evaluated in terms of classification accuracy and processing time. C4.5 achieved a high percentage of accuracy - 98% with a CPU load of 23.
Internet platform for analyzing computer memory of Windows operating systems for conducting information security investigations

Within the framework of this article, an analysis of the dynamics of the growth of information security incidents identified in companies by specialists of the department of monitoring and responding to information security threats was carried out. The study examined the problems faced by information security specialists in companies, and what tools they use to perform their tasks. Countering cyberattacks requires timely response to a recorded incident and accuracy in its investigation. As part of this scientific work, an automated digital platform was developed for analyzing RAM dumps of Windows operating systems for conducting investigations in the field of information security. This tool will provide a digital forensics specialist with additional time to investigate information security incidents by minimizing routine tasks and a centralized information processing location.
Quaternionic Moments

This short chapter surveys five papers containing a variety of quaternionic moment applications in fields like color image watermarking, image representation and recognition, bio-signal watermarking, and quaternionic fractional-order pseudo-Jacobi Fourier moments.
Quaternion Wavelet Transform (QWT)

Fourier transforms lack localization, this is remedied using localized wavelets of various shapes that can be shifted, scaled and rotated. Naturally this has also been applied for obtaining quaternionic wavelet transforms.
Quaternion Fourier Transform

This chapter first focusses on the theoretical foundations of quaternion Fourier transforms. Basically, in the complex Fourier transform the imaginary complex unit i is replaced by any constant unit pure quaternion squaring to −1. Since quaternion multiplication is generically non-commutative, a kernel factor can either be placed to the right or the left of the signal to be transformed, the signal itself may be scalar or quaternion valued as well. Furthermore, two kernel factors can be used, one on the left and one on the right, yielding a two-sided QFT. Due to quaternion non-commutativity it is not trivial to derive the properties of QFTs. A recent comprehensive treatment is given in E. Hitzer, Quaternion and Clifford Fourier Transforms, Chapman and Hall/CRC, London, 1st edition (September 22, 2021). The one-sided QFT had been implemented for quite a while in the Quaternion Toolbox for Matlab (QTFM) by S. Sangwine, and most recently he has expanded this in version 3.4 to include the two-sided QFT as well ( https://sourceforge.net/projects/qtfm/ ).