Reviewerly/exHarmony huggingface dataset:
HEXAPOD MOVEMENT ALGORITHMS TO AVOID INTERFERENCE. ANGULAR MOVEMENT

This paper considers the possibility of using a stepping robot - hexapod for research, monitoring the condition of technical dry channels, enclosed spaces and more. Compared to existing designs used today, the hexapod has a list of advantages that make it a more versatile tool, namely: autonomy, due to the power supply installed at work, design features that ensure its increased patency on uneven surfaces. Instead, this type of work requires the development of complex algorithms for movement than in the case of wheeled or tracked machines, ie. hexapod is a platform that moves the limbs, which in turn move with the help of servos. Therefore, the movement of the platform is provided by the control of each servo. In addition, environmental information is additionally processed from rangefinders, limb con-tact sensors with the surface, cameras, accelerometers, etc.&#x0D; Particular attention is paid to robot rotation algorithms, as the proposed scope imposes restrictions on the ability to maneuver freely in space. An algorithm for rotating robots in confined spaces based on limb state matrices has been developed, which greatly simplifies the practical implementation and allows to easily change the type of stroke during the hexapod operation. It is also proposed to introduce a buffer state matrix, which allows you to remember the last position of the limbs of the robot in case of its failure, after the elimination of which, it is possible to continue moving from any last state. Or return to the starting position and change the route.&#x0D; The versatility of the algorithm allows its use not only in the development of the software part of the hesapod, but also for other types of walking robots. Since the developed algorithm allows you to easily modify the types of moves at each iteration of the step.&#x0D; In the future, it is planned to test this algorithm on a model of a hexapod and supplement it with the necessary components for vertical movement, which is very important for passability in this area of application.
GAN-Based Data Augmentation and Anonymization for Mask Classification

Deep learning methods, especially convolutional neural networks (CNNs), have made a major contribution to computer vision. However, deep learning classifiers need large-scale annotated datasets to be trained without over-fitting. Also, in high-data diversity, trained models generalize better. However, collecting such a large-scale dataset remains challenging. Furthermore, it is invaluable for researchers to protect the subjects' confidentiality when using their personal data such as face images. In this paper, we propose a deep learning Generative Adversarial Networks (GANs) which generates synthetic samples for our mask classification model. Our contributions in this work are two-fold that the synthetics images provide. First, GANs' models can be used as an anonymization tool when the subjects' confidentiality is matters. Second, the generated masked/unmasked face images boost the performance of the mask classification model by using the synthetic images as a form of data augmentation. In our work, the classification accuracy using only traditional data augmentations is 93.71 %. By using both synthetic data and original data with traditional data augmentations the result is 95.50 %. It is shown that the GAN-generated synthetic data boosts the performance of deep learning classifiers.
Detection of credit card fraud transactions using machine learning algorithms techniques with data driven approaches: a comparative study

This International event is another small endeavor in the direction to bring together the experienced intellectual on one hand, and the young inquisitive minds on the other hand, to develop new thoughts, new ideas and new strategies to combat the challenges of changing pattern of world demand.I extend a warm welcome to all the participants from across the world to this mega event and hope that two days scientific deliberations of this august congregation will go a long way in shaping the philosophy and action, and make a valuable contribution to the field of Research and Development.
Strategy for training in the ISO/IEC 29110 standard based on a serious game

The ISO/IEC 29110 series of standards and guidelines is aimed at very small entities. This standard provides a minimum set of best practices that every software development team should follow for the development of non-critical software projects. However, the teaching of this type of standards is limited with the traditional approach, through theoretical classes. In this article an attractive way of teaching is addressed through the use of a serious game focused on the structure and elements that make up the basic profile of the standard for users with minimal or no knowledge of it. The result of applying the serious game to a sample of 20 undergraduate and professional students shows that learning is achieved.
RADIOLOGICAL TESTS VERSUS PATHOLOGICAL DIAGNOSTICS: COMPLIMENTARY OR ANTAGONISTIC RELATIONSHIP- AN INSTITUTIONAL EXPERIENCE

Aims &amp; Objective: To determine the yield, reliability and diagnostic accuracy of Breast Imaging Reporting and Data System in evaluation of breast lesions taking histopathology as gold standard. Material and Methods: This cross-sectional, analytical study was conducted at Pathology dept. Of SMSMC Jaipur from June 2019 to June 2020. The data of the core needle biopsies of breast lesions received at the Pathology department which had been also categorized on mammogram, according to the Breast Imaging Reporting and Data System (BI-RADS), were selected for the study. All clinical parameters, the site of the biopsy, the radiological findings, the pathological diagnoses were studied. The concordance between the radiological and pathological results was studied . According to BI-RADS, categories II and III were classified as benign and BI-RADs IV and V as malignant. The breast core biopsies were classified as benign and malignant, according to the diagnosis. Results: A total of 115 patients were included in the study. BI-RADS system for reporting whencompared with histopathology had sensitivity of 93.55%, specificity 68.18%, positive predictive value92.55%, negative predictive value 71.43% and diagnostic accuracy 88.70%. Conclusion: The findings of this study report a high diagnostic accuracy of BI-RADS in the diagnosis ofbreast carcinoma.
AN IN-DEPTH ANALYSIS OF THE BIOMETRIC AUTHENTICATION CLASSIFICATION

Out of the numerous confirmations conspires in this paper, we are attempting to focus on the exhibition and grouping of one of the validation strategies, biometric verification. Even though endeavours of the whole global biometric local area, the estimation of the precision of a biometric framework is far to be totally examined and, ultimately, normalized. The paper presents a basic examination of the analysis of accuracy and execution of a biometric framework.
THE ORGANISATION OF RESEARCH IN FOREIGN LANGUAGE TEACHER PREPARATION IN THE US UNIVERSITIES

Although research has been shown to expedite the professional growth and development of prospective specialists, less is known about the effective world practices in undergraduate and graduate research that could be applied in Ukrainian language teacher education. The present article explores the characteristics of student resear ch in US foreign language teacher education. The study focused on the analysis of academic literature, normative resources and the practical experience of language teacher preparation with the aim of extrapolating good practices into the Ukrainian system of language teacher education. It was shown that student research integrates didactic approaches with elements of creative activity, individual research projects, culminating projects, the study of specialised disciplines, individual and group scientific inquiry, not included in the curricula of educational programmes. The organisational forms of the latter are research symposia, seminars, workshops, conferences, preparation of scientific publications and some others. Among the central tasks of undergraduate and graduate research is the preparation of highly qualified, autonomous specialists, who are capable of accumulating and generating scientific knowledge, skillful application of professional knowledge in approaching the task of teaching; familiarising students with the methodology for organising and conducting research in the field of foreign language education; increasing motivation for scientific inquiry and professional development, intensification of learning; promotion of critical and reflective thinking, professional self-identification and self-realisation; stimulating the need for continuous self-development; implementation of individualisation and differentiation principles in language teacher education; replenishment of the cohort of scientific and pedagogical staff. The research competence is developed through diverse didactic forms and approaches; it is characterised mainly by electiveness at the undergraduate level and is a mandatory component of the graduate programmes’ curricula in foreign language teacher education.
Implementation of a number recognition algorithm built using a neural network on the BASYS3 FPGA panel

In recent years, some field programmable valve arrays (FPGAs) based on CNN release phase accelerators have been introduced. FPGA is widely used in portable devices. They can be programmed to achieve higher concurrency and provide better performance. The power consumption of the FPGA is lower than that of GPUs with the same workload. These reasons make the FPGA suitable for implementing the CNN release phase. They can provide relative output performance for GPUs and achieve low power consumption, which is very important for portable devices. To effectively implement the CNN output phase on the FPGA, the design should have high parallelism, and the hardware resources used should be minimized to reduce the area and power consumption. In the process of working with the help of a neural network, an algorithm for recognizing handwritten numbers is implemented. A special architecture is being created to implement a neural network at the appatent level. The performance during operation and power consumption is comparable to the performance of the processor and the GPU.
SSL-VFC4.5: An approach to adapt Very Fast C4.5 classification algorithm to deal with semi-supervised learning

The growing popularity of audio and video streaming, industry 4.0 and IoT (Internet of Things) technologies contribute to the fast augment of the generation of various types of data. Therefore, to analyze these data for decision-making, supervised machine learning techniques need to be fast while keeping a suitable predicting performance even in many real-life scenarios where labeled data are expensive and hard to be gotten. To overcome this problem, this work proposes an adaptation to the Very Fast C4.5 (VFC4.5) algorithm implementing on it a semi-supervised impurity metric presented in the literature. The results pointed out that this adaptation can slightly increase the accuracy of the VFC4.5 when the datasets have the presence of a very few amount of labeled instances, but it increases the training time, especially when the number of labeled instances in the datasets increase.
Some Considerations on Integrating Corporate Social Responsibility in the Marketing Strategy of Banking Institutions

The International Conferences on Economics and Social Sciences (ICESS)organized by Bucharest University of Economic Studies provide an opportunity for all those interested in Economics and Social Sciences to discuss and exchange research ideas. The papers presented at the Conference are available online in the Conference Proceedings series (ISSN 2704-6524): Volume 2019 Collaborative Research for Excellence in Economics and Social Sciences, ISBN 9788366675322 Volume 2020 Innovative Models to Revive the Global Economy, ISBN 9788395815072 Volume 2021 Resilience and Economic Intelligence Through Digitalization and Big Data Analytics, ISBN 9788366675704 During 2020, leaders found themselves at a historic crossroads, taking decisions under remarkable pressures and uncertainties. However, windows of opportunity are being created to shape the economic recovery, restore the health of the environment, develop sustainable business models, strengthen regional development, revitalize global cooperation, harness Industry 4.0, and redesign the social contracts, skills, and jobs. This conference provides an opportunity for all those interested in Economics and Social Sciences to discuss and exchange research ideas especially in the light of recent crisis determined by COVID-19. We welcome both empirical and theoretical work that is broadly consistent with the conference’ general theme. Especially, researchers, PhD
AKSIOLOŠKE OSNOVE USTAVNE DEMOKRATIJE I POPULIZMA

The paper discusses the axiological foundations of constitutional democracy and populism, as well as the influence of populist movements on law, legal processes, liberal democracy and the state order as a whole. The conceptual definition of populism in the situation of stable functioning of the political system inevitably leads to the conclusion that it represents an anomaly and an absolutely retrograde political phenomenon in the conditions of globalization and constant changes in modern societies. A serious crisis of the political system, that is, consequently, of the state- legal order as a whole, puts things on a completely new basis, providing an opportunity for a deeper and more complete understanding of the phenomenon of populism and its impact on constitutionalism and democracy.
IT Security Training and Awareness in the Multigenerational Workplace

For many organizations, increased cybersecurity training and employee aware-ness building have already played an increasingly significant role in their cyber-security strategies as a means of ensuring their policies are being followed, yet such organizations tend to offer generic, “one size fits all” training and awareness packages that do not sufficiently recognize important differences among employees. Among these are differences in attitude and outlook associated with generational cohorts. Through an examination of how these cohorts view various fac-tors that influence cybersecurity awareness, as well as the cohorts’ receptivity to different training methodologies, organizations can exploit generational characteristics to maximize the effectiveness of cybersecurity training for Baby Boomers, Generation X, Millennials, and imminently, Generation Z. A clear understanding of the intrinsic relationship between end-users and cybersecurity technology can help cybersecurity professionals act effectively to protect organizations’ critical IT infrastructure. Such effectiveness is more important than ever now, as sudden, massive increase in teleworking brought on by the COVID-19 pandemic, as well as the security challenges associated with this shift, will undoubtedly outlast it.
Enhanced Data Privacy Using Vertical Fragmentation and Data Anonymization Techniques

The use of online net banking official sites has been rapidly increased now a days. In online transaction attackers need only little information to steal the private information of bank users and can do any kind of fraudulent activities. One of the major drawbacks of commercial losses in online banking is fraud detected by credit card fraud detection system, which has a significant impact on clients. Fraudulent transactions will be discovered after the transaction is completed in the existing novel privacy models. As a result, in this paper, three level server systems are implemented to partition the intermediate gateway with better security. User details, transaction details and account details are considered as sensitive attributes and stored in separate database. And also data suppression scheme to replace the string and numerical characters into special symbols to overcome the traditional cryptography schemes is implemented. The Quasi-Identifiers are hidden by using Anonymization algorithm so that the transactions can be done efficiently.
On The Semantics Of Syntactic Units In Subject Position

The article discusses a controversial issue of the alternate consideration of the semantics of syntactic units in the positions of homogeneous clause components.The authors of the article believe that the leading role here is played by the nuclear predicative link, which introduces nuclear components into the sentence.The article argues that it is necessary to take into account the syntactic status of the nuclear predicative links and the syntactic content of syntaxemes provided by it in the positions of homogeneous clause components.In addition, the authors question the possibility of coordinative link to influence the semantic content of syntaxemes.Taking into account all these factors, the authors of the article refute the controversial issue of the alternate consideration of the semantics of syntactic units in the positions of homogeneous clause components.Thus, the dual character of categorical features of syntaxemes is established in the subject position, namely the nuclear predicated component of the sentence.At the same time, the status and role of the coordinative link in organizing the structure of sentences with homogeneous components are not questioned.The article uses the methods of linguistic experiment and modeling of syntactic links using the junction models of the sentence.
Variable Selection with Shrinkage Priors via Sparse Posterior Summaries

Shrinkage priors with the ability to perform both global and local shrinkage have become popular techniques for Bayesian regularization. These priors can typically be written as scale-mixtures of Gaussians, which enable the construction of posterior sampling schemes. While these priors are well-suited for estimation and parameter inference, they do not include variable selection as a by-product when posterior summaries such as means and covariances are extracted. Bondell and Reich (2012) proposed an approach to post-process the posterior distribution of a parameter vector based on selecting the sparsest model among those contained within a given posterior credible region. By changing the coverage level of the credible region, they constructed a sequence of models to accommodate variable selection. In this chapter, we discuss the use of global-local shrinkage priors and combine them with variable selection using sparse posterior summaries in some common models.
Programmable quantum simulator boasts up to 256 qubits

Physicists have demonstrated a largescale, programmable quantum simulator that features a 2D array of 256 quantum bits (qubits).
Improving Detection Tolerance of Visible Light IDs with Two-Color Differential Detection Scheme

We demonstrate an improvement of detection tolerance of visible light IDs using a two-color differential detection scheme. A visible light ID simulated by 20-b/s pseudo-random bit sequence is generated by differentially modulating red and blue LEDs. These two-color signals are received by using a conventional camera, and then the differential signal between red and blue is extracted to suppress common mode noises originating from such as background white lights. A clear eye opening is confirmed in the differential signal even under background illumination with a white light blinking at 5 Hz. Our scheme for the visible light IDs is expected to contribute to enhance robustness of automated rescue after disasters.
Development of creative thinking in the process of project activity in the conditions of digital transformation of technological education

The article considers the peculiarity of the development of student’s creative thinking in educational project activities in the learning process in the context of the digital technologies use in technological education. The main basic principles of the development of the subject area “Technology” as the most important element of mastering the competencies and skills of the XXI century are analyzed, taking into account the need to use modern digital technologies in the process of project activity, as a fundamental direction of mastering new knowledge in an intensively developing world. Based on the analysis of research by domestic and foreign scientists, it is shown that educational project activities contribute to the development of creative thinking when conditions are met that is close to the real design process. Some possible options for the implementation of educational project activities in modern conditions of digital transformation of technological education are described. The measures to solve the problems of modern technological education, contributing to the qualitative organization of the educational process, which relate to both the creation of pedagogical conditions and the corresponding material and technical base, are noted.
Lifelines

There is an imbalance across design disciplines in how the user is theorised, represented and ultimately configured. It is suggested that normative user-centred design, as practiced in product design and human-computer interaction (HCI), can lead to a lack-based approach which, when applied in a health and wellbeing context, tends to align unreflexively with a medicalised view of the person. In contrast, the use of self in research is a concept well-developed in health care ethics and care professions, while the interpersonal relationship is valued and analysed in psychotherapy and counselling research and practice. Inspired by these, this article presents a discussion on the sometimes deeply relational nature of doing design with users when viewed through the lens of the Person-Centred Approach (PCA) (Rogers 1961/1967). A case study is used to illustrate an encounter of relational depth as experienced by students working directly with individuals to design prosthetics. Lifelines is a creative project brief developed by Jivan Astfalck (2008; 2011), which asks students to represent ten significant moments in their own lives through the creative use of materials and found objects. In this case, the brief was altered so that another person (the ‘user’) would be represented. The aim was that the student designers would experience moving beyond implicit conceptions of the user as defined by a need or perceived (dis)ability, and that the intimate and personal nature of identifying and representing significant moments would raise questions about expectations of objectivity in design and research. The case study demonstrates that working in this way can be experienced as profoundly moving, with powerful moments of personal transformation and interpersonal growth. In discussion, it is suggested that through such moments of encounter, it becomes possible to examine the qualities of the relational in action, and to analyse not only problematic processes of othering, but also their converse - meetings at relational depth. The Lifelines brief is proposed as a transformative way for designers to re-engage with the whole person, as both substantial (self-realising) and relational (in time, with others and the world), and as one creative exercise in a potential suite of tools for the strengthening of the “ethical reflex” necessary in Design and HCI (Vandenberghe and Slegers 2016, 514).