Reviewerly/exHarmony huggingface dataset:
Towards a blockchain-based API to ensure data interoperability and transparency in the registration and inspection processes of Brazilian water dams

Context: the rupture of water dams leads to social, economic, and environmental catastrophes. To mitigate this threat, the Brazilian National Dam Safety Policy was designed to regulate safety actions, including requirements for dam registration, technical inspection, and accountability. Problem: even with the continuous effort to guarantee the safety of water dams, there are critical issues regarding data interoperability and transparency concerning dam registration and inspection processes. In regions of Brazil, part of this data is still collected on paper forms and reports are available as spreadsheets, for example. Solution: a blockchain-based Application Programming Interface (API) to support the registration and inspection of water dams. Blockchain technology has proved to be especially relevant due to its property of recording digital events in an immutable, transparent, and resilient way. IS Theory: we followed Design Theory by gathering an understanding between social and technical perspectives of the artifact. Method: a multi-method strategy based on Design Science Research to understand the problem and develop a proof of concept. For evaluation, a computational experiment was carried out (focusing on performance analysis covering different elapsed time, throughput, and latency time) that showed the preliminary viability of the artifact in terms of computational performance. Contributions and Impact in the IS area: a novel blockchain-based API for water dam registration and inspection in line with Brazilian legislation. This API drives to a rich opportunity for advancing knowledge at the intersection between the fields of Information Systems and Dam Management from a sociotechnical point of view, which is quite scarce in the literature.
Tuhm: A Tool for Supporting Usability Tests on Mobile Applications

Context: A heuristic evaluation is an investigation method used by practitioners to perform usability tests on interfaces. Problem: Notwithstanding the importance of a heuristic evaluation in the execution of usability tests, it is a lengthy process that requires practitioners to explore all parts of a system with critical and meticulous attention to detail. Solution: This work proposes the development of a tool called Tuhm to support practitioners in the execution of heuristic evaluations on mobile applications. IS Theory: Design Theory relates to the heuristic evaluation of the development process of systems and Software Systems Theory relates to the ethical aspect of tools. Method: A validation study was conducted in which specialists were divided into two groups to evaluate a given application using Tuhm. One group used Tuhm during evaluation, and the other group performed the manual analysis of the application. Summary of Results: Our findings reveal that Tuhm made the evaluation process faster and more objective. In addition, it is easy to use, having a fast data entry format and an organized categorization of the problems found. Contributions and Impact in the IS area: Our findings also revealed a difficulty for specialists in reading the set of usability heuristics, as it is an overlong set. Therefore, it was identified the need for improving the presentation of the usability heuristics.
Housing Profile and Recommendation for Housing Provident Fund Using Two-Tower Neural Collaborative Filtering

The housing provident fund system has provided tremendous assistance in helping provident fund users take out loans for home purchase services since its inception. Currently, as digitalization and information technology continue to strengthen, the country emphasizes the need to use digital technology (e.g., big data, artificial intelligence, etc.) extensively in government management services and to drive innovation in housing fund management, service, and supervision. Profile and recommendation technologies were mostly used in the field of financial technology, such as e-commerce platforms and commercial banks, but we innovatively apply the big data profile and artificial intelligence recommendation methods in the provident fund. We propose a multi-dimensional profile model based on the big data from the Housing Provident Fund Center and establish a housing profile labeling system to help the center in digital management better. At the same time, based on the two-tower neural network collaborative filtering algorithm, we built a housing recommendation model based on the past purchase transaction history, which can be used to improve the digital service level of the center. After experiments, our model is much more accurate than the compared traditional collaborative filtering algorithms. Through our study, the Housing Provident Center can enhance digital management techniques, improve service level, and promote intelligent government construction.
Architecture and Integrated System of Autonomous Intelligent Robot Based on Multi-perception

With the gradual expansion of the application field of autonomous intelligent robots, their working environment will also be complex and diverse. The environment perception system of autonomous intelligent robot is responsible for obtaining the internal state and external environment information of the robot, which is the basis of robot decision-making and planning. By installing a variety of sensors on the autonomous intelligent robot, and using the information fusion method to fuse the obtained information, a consistent description of the environment is obtained. The key to the architecture of autonomous intelligent robots is to seek the best compromise between precise reasoning and fast response. With the development of sensor and computer technology, the research on environment perception based on multi-sensor information fusion will be more in-depth and more achievements will appear. Environment perception, motion control and interactive recognition are the core technology modules of robot industry development, among which perception is the precondition of robot motion and interactive recognition. Through visual detection of the target features, the offset of the target relative to the reference position can be obtained, and the working trajectory of the robot can be compensated to solve the problem of accurate target positioning, and a good man-machine interaction channel can be constructed through speech recognition technology. Supported by external sensors, the robot has the ability to perceive the external environment to varying degrees, and has certain ability of environment modeling and decision-making control. Perception system is the most important part of the interaction between intelligent robot and human and external environment. This paper expounds the idea of evolutionary control and applies it to the design of the control structure of autonomous intelligent robots. This structure enables the mobile robot to have good learning and adaptability, fast response speed, good rationality and ability to complete a given task.
MODERN CONCEPTS OF GAMIFICATION IMPLEMENTATION IN THE TRAINING SYSTEM FOR TEACHERS OF THE UKRAINIAN AND ENGLISH LANGUAGES

The article clarifies that for the young people of the Zoom generation who have grown up in the age of the Internet, have unlimited access to any information and since childhood have been using digital technologies, classical higher education cannot provide everyone with necessary competencies and soft-skills by traditional methods. The study has defined that gamification is the introduction of computer games into educational activities, adding game elements to increase visualization, motivation training and, accordingly, the level of mastery of theoretical material, i.e. feedback with a student. It has been proved that gamification helps identify a leader and determine the level of training of an education seeker on this or that question (subject); unite students with a common language literary idea and direct all their efforts to its disclosure and representation; reduce the level of conflicts, andÂ increase effectiveness of the educational process. The following components of the gamified process (user; accumulated points; game levels; ranking of participants; badges), forms (competitive, victorious and aesthetic) and services for introducing gamification into the education system (Alice, Scratch, Studio Code; CodeSchool; MotionMathGames; Mathematics; Spongelab; Kahoot!; Zombie-BasedLearning; MinecraftEdu; World of Classcraft (WoC); WildInternetWoods) have been characterized. The prerequisites for the implementation of the gamification method, to which the level of theoretical training of students, educational content, motivation of students of higher education to perform certain tasks, a level development of mental processes (thinking, perception, memory, attention, imagination and etc.) have been analyzed. The system of tasks, a quality control of which is organized by using games developed with the help of online Wordwall service has been developed and presented. The effectiveness of the implementation of the gamification method into the process of training of future teachers of the Ukrainian and English languages, which convincingly is represented by the diagram has been proved. Â
Cognitive intellignet control. Pt. 2: Quantum fuzzy inference algorithm in intelligent cognitive robotics

In the first part of the article, a system for assessing operator emotions using deep machine learning based on soft computing and designing a cognitive control system was discussed. This work develops the approach of cognitive intelligent control, describing the strategy for designing intelligent cognitive control systems based on quantum and soft computing. The synergetic effect of quantum self-organization of the knowledge base, extracted from non-robust knowledge bases of an intelligent fuzzy controller, is demonstrated. The information-thermodynamic law of quantum self-organization of the optimal distribution of the basic qualities of control (stability, controllability and robustness) and the law of quantum information thermodynamics on the possibility of extracting additional useful work based on the extracted quantum information hidden in classical states are applied. Formed (without violating the second law of quantum thermodynamics) on the basis of the extracted amount of hidden quantum information, the «thermodynamic» control force allows the robot (as a control object) to perform quantitatively more useful work compared to the amount of work expended (on extracting quantum hidden information). The guaranteed achievement of the goal of controlling the robot is carried out on the basis of the designed intelligent cognitive con-trol system using the tools of the QCOptKBTM quantum knowledge base optimizer, the structure of which includes quantum fuzzy inference (QFI). The quantum algorithm for self-organization of non-robust knowledge bases of QFI structurally relies on synergistic effects from hidden quantum information to implement the implementation of the optimal distribution of control qualities. This technology makes it possible to increase the reliability of intelligent cognitive control systems in situations of control under conditions of danger, described using a cognitive neural interface and various types of interaction with robots. The examples have demonstrated the effectiveness of intro-ducing the QFI scheme as a ready-made programmable algorithmic solution for embedded intelligent control sys-tems. The possibility of using a neural interface based on a cognitive helmet with a quantum fuzzy controller to control a vehicle is shown.
Review of robotics competition. Water robotics

The development of robotics technologies requires an increase in the level of scientific and technical develop-ments and the creation of a profile reserve, as well as the formation of a system for training highly qualified spe-cialists. One of the ways to assess the achieved level of development and qualifications of engineering teams is to hold competitions at various levels. The article provides an overview of various events in competitive robotics. The second part deals with competitions in water and air. The competitions are structured according to the format of the competition, the environment of functioning and the age of the participants. Conclusions are made about the pro-spects of various events of competitive robotics, as well as the relevance of some of them. The interrelationships of the competencies achieved when participating in competitions in various areas are presented, and a conclusion is made about the conduct of vocational guidance work.
DIGITAL ENRICHMENT OF MATHEMATICS EDUCATIO

The research work is aimed at studying the methodology of teaching mathematics, the impact of digital transformation in education on the culture of teaching the subject. The object of the study is the methodology of teaching mathematics, the purpose of which is to study the disciplinary features of digital resources that are widely introduced into the educational process, as well as their impact on the educational process. The article describes some questions of the inclusion of digital resources in the subject of mathematics in accordance with the new requirements of education and their use in the teacher's practice. The specific features of special digital pedagogical solutions for teaching mathematics are shown in the course of the written work. At the same time, the effect of the enrichment of the subject teaching methodology with digital resources on the activity of the student and teacher is described. Research results are presented in quantitative-statistical and qualitative-content form. According to the analysis of the results, it was observed that the use of digital resources has an effect on students' learning, motivation, and the improvement of the quality of education. In addition, the need to design and distribute digital solutions with an interface in the Kazakh languages was determined. In order to modify the current training practice, it is necessary to organize training courses on the use of applications and special specialized packages that cause digital transformation
Harmonic Oscillator: Operator Method

One-dimensional harmonic oscillator is used as an example of solving a quantum mechanical problem in the abstract Hilbert space, to obtain eigen values, eigen vectors and matrix elements. Connection with coordinate space representation is shown by obtaining the wave function.
The Coursera for Campus program and its impact on UAC academic programs

The Universidad Autónoma de Campeche (UAC), in response to the sanitary measures due to the COVID-19 confinement and in order to reinforce its educational programs through online courses, joined the "Coursera for Campus" (CfC) program. This research presents the results of a comparative analysis between the educational offer offered by CfC and its relationship with the educational programs of the UAC. The results of the educational programs are presented classified by Department of Higher Education. The area with the greatest impact is Business, with 42 courses related to 12 educational programs, and Health with 37 courses that impact 7 educational programs. CfC's Language Learning area impacts all educational programs, since all of them consider the learning of a second language. It is also worth mentioning the courses in the Social Sciences area, which benefited 24 educational programs, as they are related to some of their Learning Units.
Nonlinear congruential generator over a GF(2^8) and its applications in improving AES key expansion algorithm

The block cipher stands out among the reliable methods for data security. Key expansion is a crucial step in the block encryption algorithm and is thus important to develop secure round keys that are statistically independent and sensitive. Using Nonlinear Congruential Generators (NCGs), we propose a key expansion algorithm that helps to design more secure block encryption algorithms or hash functions. Despite the advancement in digital technologies, NCGs remain the effective method of Pseudorandom Number Generation (PRNG). However, conventional linear congruence generators have difficulties in applying the key expansion algorithm. In contrast to the conventional linear congruence generator, the round constant extension algorithm requires a random sequence of 01, which produces random integers within a certain range. To improve the Advanced Encryption Standard (AES) key expansion algorithm, we propose an NCG over a Galois field GF ( 2<sup>8</sup> ). Our analysis includes analyzing a key expansion of 128 bits in length and a key of other lengths performed similarly. The experimental results show that the proposed algorithm is feasible and resistant to side-channel attacks. Our findings can be used to improve existing block cipher algorithms and make them more secure.
The Usefulness of Digital Media Implementation in ESL Learning among Bangladeshi Students

The study explains the difficulties of writing faced by Bangladeshi higher secondary students and gives the possible solution to overcome them. Several studies have been conducted to investigate the implementation of media like Facebook, YouTube, and mobile phone among Bangladeshi postgraduates and undergraduates’ students to improve their academic writing. However, few studies have focused on the writing challenges that Bangladeshi High school students faced in their writing by using newspaper. This study also attempts to investigate the impact of using newspaper to secondary school students to enhance their communicative competence in writing. In particular, this study employs the explanatory sequential mixed methods design as a means of researching the reciprocity between newspaper use and its effects on the writing skill. Data was collected by using pretest, posttest, and a semi-structure interview. Collected data was analysed quantitatively սѕіոg tհе Stаtіѕtіϲаӏ Pаϲkаgе fοr Sοϲіаӏ Sϲіеոϲеѕ (SPSS) Vеrѕіοո 27. The validity was checked depending on the pilot study and referees whereas the reliability was checked by using a pretest-posttest method with an interval time of four weeks. Findings have suggested that the reading of newspaper use habits exert significant impacts on the writing skills. Furthermore, it has recommended the implementation of newspaper can improve the communicative competence in writing at secondary school students of Bangladesh.
Design of high performance distributed storage system

With the rapid development of modern society, higher requirements for the capacity and performance of distributed storage systems are gradually put forward. If the conventional DAS and SAN storage distributed storage methods are still adopted, it will lead to the system being difficult to play its maximum role and affect the user experience. Therefore, in order to meet the needs of modern users, it is necessary to develop a distributed storage system with better performance. The results show that when the system runs, the failure occurs in about ten seconds, and the system recovers automatically after 30 seconds. Data volume was 4kb when random read and write, and 1024kb when consecutive read and write runs occurred. According to the test, the system can still provide a service, both in the fault phase and in the recovery phase. Based on this, this paper designs a high-performance distributed storage system to provide support for further improving virtual machine performance.
A survey of the accountability framework for jobs of batch computing services

Batch computing services have the characteristics of providing services required by users on demand. Furthermore, failure factors such as resource constraints and scheduling can lead to service violations. The accountability mechanism is essential to be established, which integrates analysis, Network generation, Determination, and Tracing. There are functional modules that have done some research on the parts of the accountability mechanism. However, in order to integrate them into the accountability mechanism, the accountability framework is essential for batch computing services. Therefore, this article aims to present a survey of functional modules of accountability mechanism, presenting and comparing main features described in the literature and challenges of integrating the accountability framework. At the end of this work, we provide suggestions for future research directions.
Proposition of the Probe-Event Approach for View-Based Modeling

Viewpoint modeling is the general theme of our work in the field of Model Driven Engineering. It is an object-oriented modeling strategy that focuses on the actors interacting with the system in order to analyze and create complex systems. Building complex computer systems remains a particularly challenging process for the modeling, design, and analysis team despite the progress of design approaches in the field of software engineering due to the complexity and richness of information. Complex software system modeling is an extremely sophisticated and enormous area of study. The best method for reducing complexity and dimension while simultaneously making it easier for people to design complicated systems is to break them down into smaller parts or components. Thus, the concept of multi-modeling methods, So the composition of the models of the findings then poses a challenge. To achieve this goal, we introduced the notion of event probe, which allows specifying implicit communications between views by observing events. This makes it possible to decouple specifications that are a priori strongly interconnected, to design them separately by viewpoint, according to the recommendations of the view modeling approach, and then to integrate them without having to modify them. We first defined the concept of event probes, identified the different types of probes with their associated parameters, and then defined a set of concepts allowing enriching and manipulating the probes.
Determination of the satisfaction attribute in usability tests using sentiment analysis and fuzzy logic

With the growth in the number of applications deployed in cloud app stores, usability has become a fundamental attribute to ensure end-user productivity and enterprise competitiveness. According to ISO 9241-11, the three attributes that determine the usability of a product are effectiveness, efficiency and satisfaction, the latter being the subjective attribute of usability. In conventional user tests, the satisfaction attribute is determined using perception questionnaires, being a challenge to determine this attribute more objectively, given the limitations of surveys in terms of veracity and subjectivity. Based on the above, in this article we propose as a contribution, the construction of a system based on fuzzy logic for the estimation of the usability satisfaction attribute in user tests, which has as inputs both the level of satisfaction obtained from the answers to the post-test questionnaire, and the level of satisfaction obtained from the polarities of the opinions of the test users, determined by means of sentiment analysis techniques. The proposed fuzzy system is intended to serve as a reference to be replicated at the academic and enterprise level in the conduct of usability tests and specifically in the more objective determination of the satisfaction attribute based on the advantages of fuzzy logic and sentiment analysis techniques.