Reviewerly/exHarmony huggingface dataset:
Proofs of Existence for Data in Cross-Company Blockchain Networks

The safe-UR-chain project is focused on the tamper-proof storage of production-related data and its exchange across company boundaries. The system is based on 'entangled' blockchains, i.e., each company maintains its own blockchain and sporadically integrates block hashes from the blockchains of other companies into it. This makes it possible, to verify the existence and integrity of data from another company’s blockchain later. To prove that the data has not been tampered with, an efficient cryptographic accumulator is used. This accumulator makes it possible to show, that a block is included at a certain position within a blockchain. Based on this proof, the existence and integrity of data in another company’s blockchain can be verified.
Use of Wireless Technologies in the Industrial Environment With Blockchain

This paper presents the development of an OpenThread network within the framework of a BMBF project, which is intended to transfer production data to a private blockchain in order to store the data in a tamper-proof and transparent manner. Among other things, special radio modules were developed for this purpose which support the OpenThread and Bluetooth Low Energy radio standards and thus additionally enable the connection of mobile devices to the private blockchain. During the conception and development of the radio modules as well as the communication protocols, emphasis was placed on ensuring that the radio network meets the high requirements for its use in an industrial environment, such as commissioning through plug &amp; play,robustness, availability, data transfer rate, latency and, above all, IT security.
Threat Modeling in Machine Learning

Because of the increasing globalization, the technological progress and the degree of networking, the number of threats is constantly increasing. Security requirements often only play a minor role. With the new version of the IT Security Act, its scope has been extended and affected companies need to take actions to increase IT security. Threat modeling is a structured process that is already used in secure hardware and software development. Both the nature of the attacks and the life cycle time differ from traditional SW development. Starting from the machine learning structure, this article offers a top-down approach to the system-oriented perspective of threat modeling.
Security and Configurable Storage Systems in Industry 4.0 Environments: A Systematic Literature Study

An increasing amount of Industry 4.0 data storages is highly configurable. As each variant includes individual features and interactions, ensuring data security becomes increasingly challenging. However, we are missing an analysis of research on security and configurable storages in Industry 4.0, especially those based on product-line engineering. To address this gap, we conducted a literature study covering relevant state-of-the-art publications (2013–2022). Overall, security for configurable systems seems under-explored. We highlighted that security standards and concrete mitigations techniques are usually not considered. In addition, we are missing an analysis of configurable storage and software systems in concert to identify threats, risks, and vulnerabilities caused by variability.
HBSBoost: A Hybrid Balancing Technique for Defaulting Enterprise Recognition

The identification of defaulting enterprises and the detection of abnormal behavior in the financial field are being faced with the problem of serious imbalance in the proportions of data samples, but numerous machine learning classification models are based on the assumption that the proportions of data samples are relatively close.Therefore, when faced with data imbalances, classification models often have low recognition rates for the minority classes and fail to achieve the desired effect of data classification.With the purpose of solving this problem, this paper proposes a data balancing technique based on a hybrid sampling technique and a boosting algorithm.This model uses a hybrid sampling technique to construct the balanced dataset.The boosting algorithm is then employed in order to improve the discriminative power of the machine learning algorithm with regard to the information on the minority class.The proposed method outperforms the random undersampling, SMOTE, hybrid sampling, SMOTEBoost, and RUSBoost algorithms for seven real-world datasets.
A Critical Review on Learning Behavior for Protection of User's Privacy using IOT

Changes and improvements to human existence have been made possible by recent advancements in communication and information technology, notably the internet of things (IoT). The IoT system is vulnerable to cyber-physical security and privacy assaults such denial of service, spoofing, phishing, obfuscations, and jamming because of the widespread availability and rising demand for smart devices. Cyber dangers to IoT systems, such as eavesdropping, attacks, and more. The new threats to cyber-physical security cannot be effectively avoided or mitigated using the same old methods. Keeping IoT systems safe calls on security measures that are not only effective, but also flexible and up-to-date. Among the various approaches to cyber-physical system security, machine learning (ML) is widely regarded as the most cutting-edge and promising since it has spawned several new lines of inquiry into the problem (CPS). This literature study provides an overview of the structure of Internet of Things (IoT) systems, explores the many attacks that may be launched against them, and discusses the current thinking on how to best use machine learning to ensure the security and safety of IoT infrastructure. It also covers the probable future research obstacles that may arise while implementing security measures in IoT systems.
CSRLoan: Cold Start Loan Recommendation with Semantic-Enhanced Neural Matrix Factorization

Recommending loan products to applicants would benefit many financial businesses and individuals. Nevertheless, many loan products suffer from the cold start problem; i.e., there are no available historical data for training the recommendation model. Considering the delayed feedback and the complex semantic properties of loans, methods for general cold start recommendation cannot be directly used. Moreover, existing loan recommendation methods ignore the default risk, which should be evaluated along with the approval rate. To solve these challenges, we propose CSRLoan for cold start loan recommendation. CSRLoan employs pretraining techniques to learn the embeddings of statements, which captures the intrinsic semantic information of different loans. For recommendation, we design a dual neural matrix factorization (NMF) model, which can not only capture the semantic information of both loan products and applicants but also generate the recommendation results and default risk at the same time. Extensive experiments have been conducted on real-world datasets to evaluate the effectiveness and efficiency of the proposed CSRLoan.
Refleksjoner rundt ny teknologi som supplement til etablert praksis

The Norwegian University museums responsibility and practice related to recording and documenting cultural heritage sites and archaeological objects, require solid management. Technologies, tools and methods that have emerged during the last 10-20 years demand new strategies of documentation as well as robust infrastructures. Digital transformations within archaeology, a profession based on material culture, require awareness of the nature of the technologies and possible impact on the epistemology of archaeology. At the Museum of Archaeology, University of Stavanger, we experience that innovative technologies affect our workflow, methodological development and data management strategies. Introducing state of the art tools as supplement to previous approaches might introduce new dimensions and perspectives, but our use of any tool, method or technology should be reasoned by its potential for additional learning and information. Recent practice of 3D-documentation of rock art in the county of Rogaland raises both challenges and new possibilities. Up to date-equipment might benefit research, but emergent technologies could impact our practice in unforeseen directions.
Promoting Digital Literacy in Higher Education: Case Study of a Medical Laboratory Program in Malaysia

Digital literacy has become a significant challenge in the education industry.Even the policymakers are now requiring digital literacy components to be incorporated in the learning domain.Thus, in reaching the goals, Medical Laboratory Technology educators should be digitally more literate.This study aims; 1) to investigate the perspectives of educators with regards to the implementation of digital literacy in teaching and learning for Medical Laboratory Programme; 2) to explore on how digital literacy in teaching and learning for Medical Laboratory Programme are implemented; 3) to identify the challenges of implementation of digital literacy in teaching and learning for Medical Laboratory Programme including ways to overcome it; 4) to identify the sustainability measures in implementing digital literacy in teaching and learning for Medical Laboratory Technology programme.This study employed a qualitative semi-structured interview to collect data from selected participants at a higher education institution in Kuala Lumpur.Following the theme analysis, the data was thoroughly examined in several stages before being reported.According to the findings, participants employed a variety of digital mediums or platforms to integrate digital literacy into teaching and learning.All of the participants expressed enthusiasm for the application of digital literacy in teaching and learning.They adhere to the syllabus requirements, design excellent instruction, utilise various literacies, and continually improve.However, difficulties such as a lack of digital competency, resources constraints, and a restricted budget were some of the identified barriers to digital literacy adoption.As a result, educators have to develop innovative planning and support strategies to address these issues.Therefore, this study suggests that greater consideration should be given to digital literacy by developing technical facilities, pedagogy, and policymakers.
Code-Mixing and Second Language Acquisition on Social Media by Digital Native Indonesian Children

The aims of this study are to (1) explain the forms of mixed-use of L1 to L2 codes in social media posts, (2) explain the factors that cause the use of L1 to L2 mixed codes and (3) describe language mastery. This study uses a qualitative descriptive analysis method. Data in code-mixing was obtained from secondary data, namely written posts with COVID-19 content on social media, Facebook and Twitter. A mixture of L1 and L2 codes in postings on social media includes words and phrases manifested in congruent insertion, change, and lexicalisation forms. The influencing factors are divided into (1) speaker factors, such as showing off, prestige, and language skills, and (2) linguistic factors, such as popular terms, topics, modes, speech partners, time and place/location. With the emergence of various terms related to COVID-19, the mastery of a second language for digital natives, in this case, English, is increasing. Although the use of code-mixing, there are some errors in writing, sentence structure, and cohesion, digital natives can master L2 through code-mixing, including accuracy of word writing, word selection, syntactic structure, cohesion, and coherence in the sentence.
Analysis of methods for detection of anomalies in video series of video surveillance camera on vehi-cles

Problem. Video surveillance is a process of monitoring various objects, which is implemented with the use of video cameras - optical-electronic and microprocessor devices, designed for visual control of the environment, with the aim of the safety of life, activity and property of a modern person. Such processes and objects can be, for example, cars moving at an intersection, on a street or on a country road, a road surface during the control of its condition and quality, a security system of any infrastructure object. Goal. The purpose of the study is the analysis of the technical composition of systems for detecting anomalies in the video of video surveillance cameras and a comparative review of computational methods for processing the results of this observation. To achieve the goal, it is necessary to research literary sources, that is, articles in scientific journals, reports at conferences, articles on non-thematic web portals, monographs and textbooks, the names of which indicate the possibility of finding information useful for this research. Methodology. As part of the research task, we are interested in the technologies, systems and methods that have been proposed and developed for obtaining, processing and analyzing video sequences and images, including machine vision tasks, image classification, object and anomaly detection, image segmentation, etc. Results. As a result of this research, the following was done: 1) An overview of the main modern systems for detecting anomalies in the video series of video surveillance cameras was conducted. It was concluded that the differences between the anomaly detection systems in the video series of video surveillance cameras are due to the choice of methods for processing video information. 2) An analysis of methods of detecting anomalies in the video series of video surveillance cameras was carried out. For this purpose, a classification of modern methods of detecting anomalies in the video series was developed and the basics of the theory of deep neural networks were considered in terms of the possibility of their application for classification, localization, segmentation, detection, identification and tracking of objects in the video series of surveillance cameras. Originality. An overview of the main modern systems for detecting anomalies in the video series of video surveillance cameras was conducted. It was concluded that the differences between the systems for searching for anomalies in the video series of video surveillance cameras are determined by the choice of methods for processing video information. An analysis of the methods of detecting anomalies in the video series of video surveillance cameras was carried out. Practical value. The developed information system is already used to provide students of all educational institutions of Ukraine of the III level of accreditation with the information about our university; regarding the specialties offered by the university and the corresponding professions; regarding open days, preparatory courses and much more.
Implementation of Couching Approach in the Professional Training of Future Teacher: Aspect of Reflexogenesis

The article examines the essence and structure of the coaching approach, which contains conceptual (related to the interpretation of the «coaching» phenomenon, its types and principles) and technological (implies the introduction of coaching techniques in the process of forming reflective competence of future teacher) components. The essence and structure of the reflexive competence of future teacher, which is the meta-competence of an individual, which contains motivational-value (a set of motives, attitudes, value attitudes towards reflective activity); cognitive (reflective knowledge, concepts and ideas) and operational-activity (a set of reflective skills) components, has been revealed. The logic and directions of reflexiogenesis as the process of gradual development of the components of reflective competence in the direction of their complication and range expansion of implementation of pedagogical reflection various types (personal, intellectual, communicative, cooperative) have been analysed. It has been proved that the motivational aspects of reflective competence are transformed in the direction of: motives, needs for reflective activity, reflective attitude, value attitude towards reflection. The cognitive and operational components of reflective competence are changing in the direction of expanding knowledge and skills that reflect personal, intellectual types of reflection – knowledge and skills related to cooperative and communicative reflection.
Security

In my teens, we used to hack a lot. I wasn’t a great hacker, but I was persistent. One of my first exposures to a debugger was the process of debugging a game’s assembly code so we could understand and circumvent its Digital Rights Management (DRM). This isn’t a unique experience. Debuggers are some of the most powerful tools in the hands of malicious hackers. Debuggers explain the code and application state; they let us manipulate and inspect the application. They are the best possible tools to analyze and attack an unfamiliar system.
EDUCATIONAL PROCESS IN HIGHER INSTITUTIONS: ISSUES OF ITS OPTIMIZATION

In the article are examined the questions of optimization of teaching and educational process of higher institutes of learning. The article shows the ways and forms of teachers work for optimization of educational process. The optimization of teaching and educational process increases a level of efficacy of teaching-cognitive activity of students. In the article is telling that process of optimization of teaching and educational work demands a higher level of professional training of teachers. The article gives necessary recommendations for increasing of level of efficacy of process of optimization of teaching and educational work of higher institutes of learning.
Open data policy as the basis of university image

in modern society, any organization is forced to compete in the market, is in a constant process of attracting new people, strive to occupy the top positions in the ratings. Higher education institutions are no exception. After the appearance of the concept «University 3.0.», one of the goals of which was to create integrated entrepreneurial ecosystems on the basis of educational organizations, where the university is assigned the role of a generator of innovations, and science and education also remain a priority, it became necessary to ensure maximum transparency of the processes that occur within each organization. Digitalization of the educational process has also played an important role, not only during the actual education, but also at the time of choosing a suitable university. The article examines the history of the development of the term «image of a higher educational institution» in Russia, its transformation, as well as its components, including the policy of open data. In addition, the paper describes the difference between the concepts of “open data” in the field of education: «open education» and «open data on education»; analyzes the problem of implementing open data policy by universities, and also examines the role of open data in working on the image of an educational institution.
PROFESSIONAL TRAINING OF FUTURE TEACHERS IN THE CONTEXT OF THE TRANSDISCIPLINARY PARADIGM

Introduction. The modern school does not achieve the main goal – preparing graduates for life. It is known that the main competences intended for formation at school are the competences to learn, communicate, work in a team, live (self-determination). It is about the formation of universal learning abilities and skills necessary to solve various problems in real and/or simulated situations. In the case of a monodisciplinary school, it is very difficult to achieve this. Purpose. To consider and substantiate the main provisions of the training of pedagogical personnel at the faculty in the context of the introduction of a new educational paradigm in the school – transdisciplinary training. Methods.The metods of analysis, synthesis, comparison, abstraction are used in the article. Results. It is necessary to introduce transdisciplinary approaches to educational programs and train future specialists to use a transdisciplinary approach in solving problems. We believe that in order to prepare teachers for the implementation of a transdisciplinary approach in education, the following courses should be studied at the faculties: didactics of transdisciplinary education in primary school; didactics of transdisciplinary education in gymnasium; didactics of transdisciplinary education at the lyceum (in high school). The curriculum of transdisciplinary education of future teachers should include sections:- general culture;- general professional;- professional;- transdisciplinary. Based on the fact that the focus of transdisciplinary education is not on subjects, but on problems that can be solved with their help, it is necessary to train future teachers to solve relevant problems. It is logical that one of the forms of transdisciplinary education in higher education institutions is mentoring, and students need several mentors. There should be 3 mentors for a group of students who come to practice at the school: 1) a teacher of the department of the university, responsible for the methodical/didactic training of the student in the specialty; 2) a teacher of the department responsible for the psycho-pedagogical training of the future teacher and 3) a teacher-mentor by specialty. Originality. The transdisciplinary section in higher education institutions should contain educational and methodological lines:1) conceptual foundations of the formation of students' transdisciplinary competence;2) transdisciplinary design;3) educational strategies and technologies for the implementation of a transdisciplinary approach in elementary school, gymnasium and lyceum;4) didactic provision of a transdisciplinary approach;5) assessment of school results in the context of the transdisciplinary model of education. In the Republic of Moldova, starting from 2019, in accordance with the Curriculum, elements of transdisciplinarity are introduced in primary school. Conclusion. In order to qualitatively implement a transdisciplinary approach in practice, it is necessary to train pedagogical personnel at the faculty today.