Reviewerly/exHarmony huggingface dataset:
Innovative educational environment: technologies of creation

The implementation of educational reforms in Ukraine requires the modernization of teacher training. The imbalance between the social demand for highly qualified pedagogical staff and the outdated teacher training system stimulates the development of innovative educational environments, which should ensure the formation of high-level professional competence of university students. The article describes the experience of modeling an innovative environment by means of a student-centered training and practice center, which performs educational activities based on competency and STEM approaches. The conceptual basis of the technology is the guiding principles of partnership pedagogy, STEM education, competency and transdisciplinary approaches, technologies of student-centered teaching. The content component of the technology is modeling of natural science and mathematical education on the basis of current educational standards for institutions of higher and secondary education. The procedural component of the technology is the set of innovative forms and methods of educational activity that are integrated into long-term socio-scientific projects. Modeling of innovative educational environment by means of STEM and Art education provided an opportunity to introduce social and scientific projects satellites: children and youth experimentarium "Time Line", "Bank of Science", "Interesting Science in the City Streets" and others. The results of the work of the educational scientific laboratory are the development and implementation of innovative forms of educational activity in the system of training of future teachers. Innovative technology of transdisciplinary approach in education can be implemented by means of STEM platforms. The Center's Scientific and Methodological Laboratory investigates the process of introducing higher education technologies, develops a network of interactive playgrounds based on the STEM approach and approves innovative forms of educational activity. The Elements of the developed innovative scientific infrastructure were introduced at the Faculty of Mechanics and Mathematics of the V.O. Sukhomlynskyi Mykolayiv National University and in the educational institutions that are partners of the project.
Probabilistic Object Detection with an Ensemble of Experts

Probabilistic object detection requires detectors to localise and classify objects in an image, while also providing accurate spatial and semantic uncertainty. In this work, we present an 'Ensemble of Experts' as a method to solve this challenging problem. This technique utilises a ranked ensembling association process and leverages the individual strengths of each expert detector to create a final set of detections with a meaningful spatial and semantic uncertainty. Our approach placed first place in the 3rd Probabilistic Object Detection Challenge with a PDQ of 22.848.
CYBERCRIME: THEORETICAL DETERMINANTS, CRIMINAL POLICIES, PREVENTION &amp; CONTROL MECHANISMS

Purpose: The research aimed to explore the theoretical determinants of cybercrime in Qatar and assess how it can be prevented and minimised.&#x0D; Methodology: This was done using the mixed method research design through the survey strategy and semi-structured interviews with experts in the field of cybercrime in Qatar. Having adopted a mixed-method research methodology, the study had a target population of 200 participants for questionnaire survey, while expert interview had a target population of 11 experts. All these participants were purposively sampled in pursuit of engaging respondents who had knowledge, experience and expertise in cybercrime, such as IT experts and professionals working on cyber security solutions, Lawyers, police officers working in cybercrime department in Qatar, and lawyers who had dealt with cybercrime. The results of the survey were quantified using the Likert scale and analysed quantitatively by the factor analysis, and frequency tables. The results of the interviews were analysed qualitatively.&#x0D; Findings: The results of the survey revealed that the most typical types of cybercrime in Qatar include website hacking, email cyberattacks, and online banking cyberattacks. The predominant motive for cybercrime in the country is monetary gains. However, the findings from the logistic regression analysis reveal that different types of cybercrime are associated with different determinants, and online banking crimes are predominantly driven by monetary gains. Moreover, the findings from IT experts interviewed revealed various measures can be adopted as control measures of cybercrime activities and hazards, such as development of stronger networks by commercial companies to protect their cyber assets and use of up-to-date protective software that detect and ensures complete data security.&#x0D; Unique contribution to theory, practice and policy: Further, the findings, in relation to the effective methods and mechanisms for preventing cybercrime, suggest that it can be reduced through the spread of awareness among people and companies and through the adoption of preventive control mechanisms. Further, the study recommends that governments should formulate and implement legislations aimed at enhancing stringent measures of combating and dealing with cybercrime in convergence with international standards and practices. Besides, companies should adopt technological cybersecurity solutions to enhance effective protection of intellectual property, intrusion, and malicious damage of data as well as other cyber-related crimes.
Meningkatkan Motivasi dan Hasil Belajar Matematika dengan Metode Kooperatif Tipe Jigsaw di SMA Negeri 1 Gerung

This study aims to improve motivation and mathematics learning outcomes through the application of the jigsaw cooperative learning model for class X-4 students at SMA Negeri 1 Gerung. This research method uses classroom action research. The research subjects were students of class X-4 with a total of 36 students. The research procedure was carried out on a cycle basis. Each cycle consists of planning activities, implementing actions, observing, and reflecting activities. The instruments used to collect research data consisted of tests and observation sheets. The research data were analyzed descriptively by using a percentage to see the trends that occurred in learning activities. The results showed that; (1) the application of the jigsaw cooperative learning model can increase student motivation in the teaching and learning process, (2) student motivation shows that in cycle 1 is 75% and an increase in cycle 2 becomes 84.7%; and (3) students' mastery of the learning material also showed satisfactory results, in cycle 1 students achieved 77.8% completeness, while in cycle 2 students achieved 88.9% completeness.
The Gamification of Enterprise Cooperation

Cooperation between individuals is a core essence of organizing. However, as witnessed in several organizations, cooperation and collaboration are difficult to cultivate, and they might not emerge organically either. One of the primary hurdles related to lack of cooperation is that people often do not work toward mutual goals but are rather motivationally distracted or impaired due to several possible factors such as differently oriented goals compared to coworkers or the simple lack of individual motivation toward the organization’s goals. Recently, it has been profoundly observed and realized that in (video) games cooperation appears to emerge effortlessly. Games indeed seem to address these issues; games afford voluntary, intrinsically motivated activity, and they explicitly or implicitly build consistencies that afford convergence of people’s goals. Therefore, gamification has become a trending phenomenon that is now being applied across fields to remedy deficiencies stemming from the lack of motivational ergonomy such as the ones in organizational praxis. In this chapter we peruse the extant case-based corpus of literature that has investigated the use of gamification in attempts to increase cooperation in organizations. We investigate how and what kind of gamification has been applied, in what kinds of organizational fields it has been applied in, to what forms of cooperation it has been used to enhance, as well as what motivational benefits it has been intended to account for. Beyond describing the results in extant literature, we also weigh the discourses emerging from the extant corpus in terms of the expected benefits and detriments of gamification.
Menulis Cerita Melalui Peta Pikiran Berbasis Kolokasi Kata

Writing stories is a difficult because of the limited vocabulary of the students. The concept map is one that is considered effective in overcoming this problem. The concept map in question must have innovations in the form of proper collocations so students will be able to write stories intact, cohesive and coherent This study aims to determine the differences in writing stories through the application of learning innovation based on word collocation mind maps with mind maps without word collocations. The population was taken in class III SDI Al Munawwarah Pamekasan. The sample in this study was class III A as many as 20 students with the application of word collocation-based mind map innovation as an experimental class with class III B SDI Al Munawwarah 20 students with mind maps without word collocation as a control class. Data collection using the test method then analyzed using descriptive analysis. The analysis showed a difference in the results of writing a story with a mind map based on collocation of words with excellent indicators of 25% and good indicators of 75%. While the control class with good indicators is 65% and sufficient indicators are 35%
Prevention of SQL Injection Attack Using Blockchain Key pair based on Stellar

Currently, SQL injection is the most common attack on web applications where malicious codes are injected into the database by unauthorized users using user input fields and this could lead to data loss or in a worst case, to database hijacking; a situation no database administrator or web developer ever wants to experience. Two of the most recent types of these attacks are first-level and second-order attacks. A lot of researches have been done in this area, some of which are outstanding and capable of preventing first level attack but not second order attack. In order to improve the quality of protections, a new method is proposed in this paper to minimize the level of attack on databases by using stellar blockchain keypair. Using string manipulation on user inputs, the client application randomized the SQL query and sends it to the proxy server, the proxy server, in turn de-randomizes it with the help of the private key and sends the de-randomized query to the database server for processing and the overhead time is estimated and analyzed. This method proved to be more than 50% effective compared to previous methods using the same model. It also shows strengths in terms of processing and computational time. Experimental implementation and simulation using the stellar keypair demonstrates that the model presented is capable of detecting and preventing SQLIA all forms of SQL injection attacks including the secondorder injections.
Study of Satisfaction with the Organization of the Studying Process in Remote Mode during the COVID-19 Pandemic: Case UrFU named after the First President of Russia B.N.Yeltsin

Research background: The current situation in the country and the world related to the COVID-19 pandemic has had an impact on almost spheres of human life including Education which have undergone total functional changes. The key aspects of the transition to remote learning are: monitoring the process of remote learning and feedback from students; technical and competence-based equipment of the educational process; the organization, format and quality of training; self-organization of educational activities and its effectiveness.
Monocular VO Scale Ambiguity Resolution Using an Ultra Low-Cost Spike Rangefinder

Monocular visual odometry (VO) is the process of determining a user's trajectory through a series of consecutive images taken by a single camera.A major problem that affects the accuracy of monocular visual odometry, however, is the scale ambiguity.This research proposes an innovative augmentation technique, which resolves the scale ambiguity problem of monocular visual odometry.The proposed technique augments the camera images with range measurements taken by an ultra-low-cost laser device known as the Spike.The size of the Spike laser rangefinder is small and can be mounted on a smartphone.Two datasets were collected along precisely surveyed tracks, both outdoor and indoor, to assess the effectiveness of the proposed technique.The coordinates of both tracks were determined using a total station to serve as a ground truth.In order to calibrate the smartphone's camera, seven images of a checkerboard were taken from different positions and angles and then processed using a MATLAB-based camera calibration toolbox.Subsequently, the speeded-up robust features (SURF) method was used for image feature detection and matching.The random sample consensus (RANSAC) algorithm was then used to remove the outliers in the matched points between the sequential images.The relative orientation and translation between the frames were computed and then scaled using the spike measurements in order to obtain the scaled trajectory.Subsequently, the obtained scaled trajectory was used to construct the surrounding scene using the structure from motion (SfM) technique.Finally, both of the computed camera trajectory and the constructed scene were compared with ground truth.It is shown that the proposed technique allows for achieving centimeter-level accuracy in monocular VO scale recovery, which in turn leads to an enhanced mapping accuracy.
Implementation of Two Layers Type Theory in Dedukti and Application to Cubical Type Theory

In this paper, we make a substantial step towards an encoding of Cubical Type Theory (CTT) in the Dedukti logical framework.Type-checking CTT expressions features a decision procedure in a de Morgan algebra that so far could not be expressed by the rewrite rules of Dedukti.As an alternative, 2 Layer Type Theories are variants of Martin-Löf Type Theory where all or part of the definitional equality can be represented in terms of a so-called external equality.We propose to split the encoding by giving an encoding of 2 Layer Type Theories (2LTT) in Dedukti, and a partial encoding of CTT in 2LTT.
Study and Applications of Fuzzy Systems in Domestic Products

In the recent past, it has been observed that many domestic products have been produced with fuzzy systems. This paper explains the various programming made for the effective utilization of domestic products. This paper also explains about fuzzy and its models. To initiate with the products which are otherwise not utilizing fuzzy systems, this paper suggests a way of incorporating the fuzzy techniques in such products. With the help of this, the products will save time and human energy.
Study of Occlusion-Robust Object Detection with Soft-NMS and Contextual Feature Extraction

Visual object detection (cars, pedestrians, etc.) from vehicle mounted camera faces great difficulty when the target objects are mutually occluded or partially hidden behind background objects. In this paper, in order to realize a occlusion-robust object detector, we propose to use 1) MDCN1), a SSD2)-based detector which utilizes contextual information surrounding the target objects, together with 2) Soft-NMS3), a bounding box unification technique catering to close-by objects. Experiments with the publicly available KITTI4) data acquired from vehicle mounted camera proved the effectiveness of the proposed method.
Gradual formation of the high school students’ motivational readiness for professional identity in the context of the subject-oriented instruction

The object of the research is the multidisciplinary schools of the Republic of Tatarstan. The purpose of the study in the context of subject-oriented instruction is to develop and test the stages of the formation of high school students’ motivational readiness for professional identity. To achieve the goal of the research we used such methods as theoretical (comparative historical analysis), empirical (the study of the students via teacher observation, questionnaire), mathematical (processing of the obtained results by means of statistical processing of research results). The particular practical usefulness of the article is in the fact that it has developed and implemented in practice the scheme for the gradual formation of the high school students’ motivational readiness for professional identity in the context of subject-oriented instruction, which makes it possible to apply the research data by teachers of multidisciplinary lyceums, gymnasiums, specialists from institutions of additional education and a system of additional professional education.
Comparison of self-tuned Neuro-Fuzzy controllers on 2 DOF helicopter: an application

Abstract In this paper, a new approach for Neuro-Fuzzy Controller (NFC) has been presented and compared to previously defined NFCs given in open literature. The proposed controller is based on an on-line Adaptive Neuro-Fuzzy Inference System (ANFIS) and meticulous analysis through simulations is performed to show its robustness. The performance of Neuro-Fuzzy Controllers (NFC) depends on controller inputs. To show the difference and superiority of the proposed controller, many studies in the open literature are examined and compared. Therefore, the advantages and disadvantages of the Neuro-Fuzzy controller are outlined and an optimum Neuro-Fuzzy controller is structured and presented. To test our developed controller for a nonlinear problem, having coupling effects, a 2 DOF helicopter model is chosen. Also to show the robustness, the controller performance which is applied to a 2 DOF helicopter is investigated and compared with other Neuro-Fuzzy controller structures. To better show NFC performance, NFC control results were compared with LQR+I. It is observed that besides being on-line adaptive for all systems, the controller developed has many priorities such as noiseless, strong stability, and better response time.
Semantic Structural Decomposition for Neural Machine Translation

Building on recent advances in semantic parsing and text simplification, we investigate the use of semantic splitting of the source sentence as preprocessing for machine translation. We experiment with a Transformer model and evaluate using large-scale crowd-sourcing experiments. Results show a significant increase in fluency on long sentences on an English-to- French setting with a training corpus of 5M sentence pairs, while retaining comparable adequacy. We also perform a manual analysis which explores the tradeoff between adequacy and fluency in the case where all sentence lengths are considered.
EEC: Learning to Encode and Regenerate Images for Continual Learning

The two main impediments to continual learning are catastrophic forgetting and memory limitations on the storage of data. To cope with these challenges, we propose a novel, cognitively-inspired approach which trains autoencoders with Neural Style Transfer to encode and store images. During training on a new task, reconstructed images from encoded episodes are replayed in order to avoid catastrophic forgetting. The loss function for the reconstructed images is weighted to reduce its effect during classifier training to cope with image degradation. When the system runs out of memory the encoded episodes are converted into centroids and covariance matrices, which are used to generate pseudo-images during classifier training, keeping classifier performance stable while using less memory. Our approach increases classification accuracy by 13-17% over state-of-the-art methods on benchmark datasets, while requiring 78% less storage space.
Digitaleducation – new challenges or what to teach historians?

The purpose of the publication is to demonstrate the experience of introducing (within the discipline of “source studies”) teaching technologies for working with digital data (electronic copies of historical sources, electronic NSA, historical information systems) using the example of one massive statistical source – the First General Census of the Russian Empire in 1897 as well as mastering database technologies.
Bookstores in Lithuania in 2013–2018: Less Physical Bookstores, Less Choice of Books

Despite various global and local economic crises, the shift of some readers to screen reading, growing online shopping habits, and the shorter time spent on reading books, physical bookstores are able to change and retain their customers. This research is a continuation of a 2013 study in order to capture the current situation and identify the changes that have taken place in Lithuanian physical bookstores over the past five years. During the research, the list of bookstores operating in Lithuania compiled in 2013 was updated and clarified, and an analysis of the collected data and comparison with the data of 2013 were performed. The results showed that from 2013 to 2018 the number of bookstores in Lithuania decrea­sed by 18.8%, to 168 units. On average, the number of inhabitants per Lithuanian bookstore increased by 16.2% and reached 16,720 inhabi­tants per bookstore; the number of municipalities with no bookstores at all increased to 15 (9 in 2013). The largest Lithuanian bookstore networks remained the same: Vaga and Pegasas, which maintained almost the same number of bookstores – 33 bookstores at the end of 2018. The number of medium-sized bookstore networks decreased, and only one of the nine small bookstore networks (2–3 bookstores), which owned two bookstores in 2013, remained. Such changes show that the two major bookstore networks Vaga and Pegasas are strengthening their market position. Calculated by the number of bookstores, in 2018 they already ran 39% of the market. The range of available books in physical Lithuanian bookstores has decreased – from an average 9 thousand titles in 2013 up to 6 thousand titles in 2018. It seems that the 2004–2008 race between physical bookstores for the largest range of book titles in the past is now witnessing an increase in the choice of additional goods in bookstores, sometimes even exceeding their book sales. The decrease and change in the number and range of physical bookstores in Lithuania since 2008 was due to several reasons – from the economic crisis at that time, the continuing decline of the population to the decline of book reading ha­bits, and the transition of some readers to on-screen reading and online shopping.