Reviewerly/exHarmony huggingface dataset:
EXPERIENCE OF APPLYING DESIGN-THINKING TO IMPROVE PROFESSIONAL DEVELOPMENT FUTURE TEACHERS OF TECHNOLOGY

The relevance of the study is due to changes in society that require a rapid and creative transformation of the system of training specialists in the field of technology by higher education institutions to provide quality educational services. Ukrainian education requires teachers who are able to think outside the box, creatively, proactively, respond flexibly to professional challenges, and also possess tools of psychological and pedagogical influence that would help prepare young people for real life. To address this issue, educational institutions are creating a modern digital educational environment that will allow for the implementation of integrated learning with the simultaneous acquisition of disciplinary and interdisciplinary knowledge, social and practical skills for the formation of professional, personal and interpersonal competencies necessary for scientific research of graphic, creative, design activities. The article considers the influence of modern technologies on the formation of design thinking, the important components of which are constructive and analytical thinking. The expediency of introducing an innovative form of professional training of future technology teachers in higher education institutions using design thinking is substantiated, since this will contribute to the development of intellectual activity and creativity of applicants. The prerequisites are disclosed and the requirements for the preparation of future technology teachers for design and project activities are determined. The authors prove the effectiveness of the application of design thinking in the field of university education, pay attention to the creation of conditions for immersion in the subject area, the active development of creativity among applicants, originality of thinking, competence in finding solutions in the form of visual images, which are based on the use of digital technologies and the use of teaching methods in all their diversity and complexity. This will ensure not only a high quality of education, but will also contribute to the motivation for educational and research, intellectual and creative activities, the development of cognitive interest, the formation of subject competencies, which will become a strong guarantee of the competitiveness of graduates. The article attempts to adapt the technology of design thinking and introduce it into the educational process in the preparation of future teachers of technology and labor education. It is proposed to integrate the presented technology into any educational subject as an effective tool for the development of creativity and creativity.
An Interface Between Legacy and Modern Mobile Devices for Digital Identity

In developing regions a substantial number of users rely on legacy and ultra-low-cost mobile devices. Unfortunately, many of these devices are not equipped to run the standard authentication or identity apps that are available for smartphones. Increasingly, apps that display Quick Response (QR) codes are being used to communicate personal credentials (e.g., Covid-19 vaccination certificates). This paper describes a novel interface for QR code credentials that is compatible with legacy mobile devices. Our solution, which we have released under open source licensing, allows Web Application Enabled legacy mobile devices to load and display standard QR codes. This technique makes modern identity platforms available to previously excluded and economically disadvantaged populations.
Home-Based Sound Experiments Using Phyphox

The Physical Phone Experiment (PhyPhox), a free mobile phone app developed by RWTH Aachen University, Germany, is used for sound experiments designed for junior and senior high school students. The experiments include the auditory observation of different frequencies of sound and interference phenomena like beats. The graphics of PhyPhox also allows for the graphical representation of sound and the measurement of period and the calculation of frequency.
Didactic Significance of Modern Simulation Programs in Vocational Education – Divagations from Own Research

We developed, justified and verified methodological foundations for the professional training of specialists in public management of quality and security of socio-cultural forms of education, science and innovation systems of diploma-training of future representatives of the academic sphere, successors of scientific heritage of the trans-boundary level to consolidate the efforts of quality and safety cohesion of acquired and prolonged trajectories of employment and professional development , pleasure insurance according to the needs and requirements of interested and academically worthy and capable categories of applicants for educational and scientific services and consulting and advisory services to build intellectual and emotional capacity of perspective development of transcultural interaction of communicative perception of understanding and consent of diverse categories of society without breaking the biosocial stability equilibrium. We achieved the goals of axiological analysis of conceptual and categorical apparatus with regard to the problem of professional training of future public management specialists on the basis of scientific schools of managerialism in philosophical, psychological and pedagogical and managerial literature; we established the semantics of organization of professional training of future public management specialists for teaching activity ; we justified the structure of professional competence of future public management specialists. We applied a set of methods – axiological analysis, systemic and institutional for semantics of the training management system in higher education institutions and the development of methods for organizing professional training of future public management specialists for teaching activity; method of analogy and probabilistic modeling.
Probe Incompatibility in Multiparameter Noisy Quantum Channel Estimation

We derive fundamental bounds on the maximal achievable precision in multi-parameter noisy quantum channel estimation, valid under the most general entanglement-assisted adaptive strategy, which are tighter than the bounds obtained by a direct use of single-parameter bounds.
Digital Competences: Empowerment of Education at Universities

The digital transformation, bringing new challenges for educa­tion and jobs, would require learning new skills and to strengthen the ability of people to adapt to challenges in new occupations that emerge in labour markets. Universities are undergoing a digital transformation that affects the teaching, learning, research activities and upskilling of university educators. The paper aims to point out why the educational and digital competencies of university educators need to be developed and operational. The framework of professional activities of university educators would require the strength­ening of digital competences. Currently, the integration of digital skills and literacy into study programs is becoming a necessity for higher education. This measure requires innovative approaches and educational mastery of university educators. Therefore, upskilling and professionalization of uni­versity teachers employing a competence-based model of further education deserve special attention. The programs of relevant digital and pedagogical competences would promote the empowerment of faculty staff.
Legal Protection of the EU Database: One Proposal for a Transposition

The European Commission’s 2021 Intellectual Property Action Plan provides for a revision of Directive 96/9 / EC of the European Parlia­ment and of the Council of 11 March 1996 on the legal protection of data­bases. The process of its amending is started with Directive 2019/790, which complemented it with new exceptions already mandatory for the Member States, on the mining of text and data for the purposes of scientific research, digital cross-border learning activities, and use by cultural heritage institu­tions. The transposition of these new texts by the deadline of 06.07.2021 did not take place in many Member States. The article relates to the proposal to transpose these exceptions into the legislation of Bulgaria and analyzes to what extent to which it would contribute to the objectives of harmonization.
Understanding the Concept of BIG Data Testing, Strategies and Methods

This paper explains the concept of BIG data and the process of testing BIG data technology. There are various procedures which are used to perform testing of BIG data technology. It is to make sure that all the functions of BIG data work smoothly without getting errors. This paper will explain the concept and strategies used to perform the BIG data testing.
A robust approach for electronic health record–based case‐control studies with contaminated case pools

Abstract We consider analyses of case-control studies assembled from electronic health records (EHRs) where the pool of cases is contaminated by patients who are ineligible for the study. These ineligible patients, referred to as “false cases,” should be excluded from the analyses if known. However, the true outcome status of a patient in the case pool is unknown except in a subset whose size may be arbitrarily small compared to the entire pool. To effectively remove the influence of the false cases on estimating odds ratio parameters defined by a working association model of the logistic form, we propose a general strategy to adaptively impute the unknown case status without requiring a correct phenotyping model to help discern the true and false case statuses. Our method estimates the target parameters as the solution to a set of unbiased estimating equations constructed using all available data. It outperforms existing methods by achieving robustness to mismodeling the relationship between the outcome status and covariates of interest, as well as improved estimation efficiency. We further show that our estimator is root-n-consistent and asymptotically normal. Through extensive simulation studies and analysis of real EHR data, we demonstrate that our method has desirable robustness to possible misspecification of both the association and phenotyping models, along with statistical efficiency superior to the competitors.
EVALUATION OF LEGAL INFRASTRUCTURE OF DIGITAL CURRENCIES IN TURKEY

In order for the crypto money tax to be collected, it must first be regulated by law. The first thing to do is to legalize cryptocurrencies as assets and money and then tax them accordingly. We will first examine the attitudes of some states towards cryptocurrencies and then touch on tax issues in the next step. A study of attitudes in the European Union (EU) shows that only four EU countries guarantee cryptocurrencies (EU). In the statement of the Bank of Turkey Regulation and Supervision Agency dated 25 November 2013 and numbered 2013/32; According to the Law No. 6493 on Payment and Securities Payment Systems, Payment Services and Electronic Money Institutions, bitcoin cannot be issued as digital money, and there is no accreditation and inspection requirement within the scope of this decree. In transactions with Bitcoin and similar cryptocurrencies, there is no risk of accessing the personal information of the buyers, the use of virtual money for illegal activities and theft or loss of market equivalent currency. Due to some similar risks, such as the use of electronic packages or unauthorized use of transactions or irreversible transactions, citizens who deposit funds need to be careful. In this study, it was tried to examine the crypto money tax in Turkey.
FORMS OF INTERACTION THAT ENSURE THE IMPROVEMENT OF THE QUALITY OF THE IMPLEMENTATION OF UNIVERSITY FUNCTIONS

Потенциал вузов реализуется частично, что отражается на качестве образования. Поэтому сегодня необходимы новые формы взаимодействия вуза и других участников, вовлеченных в его научно-образовательный и инновационные процессы. The potential of universities is partially realized, which affects the quality of education. Therefore, new forms of interaction between the university and other participants involved in its scientific, educational and innovative processes are needed today.
Agile Releaseplanung

No AccessScrum mit User StoriesJul 2022Agile ReleaseplanungRalf Wirdemann, Astrid Ritscher, Johannes MainuschRalf WirdemannSearch for more papers by this author, Astrid RitscherSearch for more papers by this author, Johannes MainuschSearch for more papers by this authorhttps://doi.org/10.3139/9783446474383.013SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2022Pages: 211-220Print ISBN: 978-3-446-47369-0eISBN: 978-3-446-47438-3 Copyright & Permissions© 2022 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract)

We study the seamless integration of community discovery and behavioral role analysis, in the domain of networks with node attributes. In particular, we focus on unifying the two tasks, by explicitly harnessing node attributes and behavioral role patterns in a principled manner. To this end, we propose two Bayesian probabilistic generative models of networks, whose novelty consists in the interrelationship of overlapping communities, roles, their behavioral patterns and node attributes. The devised models allow for a variety of exploratory, descriptive and predictive tasks. These are carried out through mean-field variational inference, which is in turn mathematically derived and implemented into a coordinate-ascent algorithm. A wide spectrum of experiments is designed, to validate the devised models against three classes of state-of-the-art competitors using various real-world benchmark data sets from different social networking services.
LITERATURE IN THE EFL CLASSROOM: CREATIVE ACTIVITIES FOR ONLINE TEACHING TO YOUNG LEARNERS

Using literature in young learners’ EFL (English as a Foreign Language) classroom can be a motivating medium for language teaching and learning. Although with some difficulties in the application of literary texts in English language teaching, literature may contribute to the improvement of students’ motivation for learning and could bring to more effective English language instruction. In line with the previously said, the paper will give an outline of how, when and why literature should be incorporated in EFL curriculum with the purpose of emphasizing the use of literature as a popular technique for teaching both basic language skills (i.e. reading, writing, listening and speaking) and language areas (i.e. vocabulary, grammar and pronunciation). This theoretical research aims at answering the following questions: 1) What is the role of literature in teaching and learning English as a foreign language?, 2) What are the approaches a language teacher can use online when teaching literary texts in young learners’ EFL classroom? and 3) What are the benefits of using different genres of literature in teaching English online? As a conclusion, the paper will provide useful ideas and activities for creative English language teaching in online surrounding by using literature as a tool rather than an end in teaching English to young learners.
A knotty problem

Mathematicians are unpicking the question of how many knots exist. As they do, they are finding ways to solve other seemingly impossible problems, reports Larissa Fedunik
Visual Similarity Attention

While there has been substantial progress in learning suitable distance metrics, these techniques in general lack transparency and decision reasoning, i.e., explaining why the input set of images is similar or dissimilar. In this work, we solve this key problem by proposing the first method to generate generic visual similarity explanations with gradient-based attention. We demonstrate that our technique is agnostic to the specific similarity model type, e.g., we show applicability to Siamese, triplet, and quadruplet models. Furthermore, we make our proposed similarity attention a principled part of the learning process, resulting in a new paradigm for learning similarity functions. We demonstrate that our learning mechanism results in more generalizable, as well as explainable, similarity models. Finally, we demonstrate the generality of our framework by means of experiments on a variety of tasks, including image retrieval, person re-identification, and low-shot semantic segmentation.
Towards New Optimized Artificial Immune Recognition Systems under the Belief Function Theory

Artificial Immune Recognition Systems (AIRS) are powerful machine learning techniques, which aim to solve real world problems. A number of AIRS versions have produced successful prediction results. Nevertheless, these methods are unable to handle the uncertainty that could spread out at any stage of the AIRS approach. This issue is considered as a huge obstacle for having accurate and effective classification outputs. Therefore, our main objective is to handle this uncertainty using the belief function theory. We opt also in this article for an optimization over the classical AIRS approaches in order to enhance the classification performance.
Photons with real magnetic charges and absurdity of concept expansion universe

The results of the study of the physics of photons with real magnetic charges showed that photons do not form any light waves. The circular frequency of photons produced under the conditions of the translational motion of the photon source differs from о by the value , which is determined solely by the change in the velocity ∆V of the translational motion of the photon source at the moment of photon formation. It is important to understand that the circular frequency of photons, born at any moment of the movement of their sources, is an internal property (parameter) of the photon and remains unchanged throughout the entire photon “life”. Moreover, the photon frequency cannot depend on any movements of the observer.
The Smart Agriculture based on Reconstructed Thermal Image

The utilization of thermal image in supporting precision agriculture is tremendous nowadays. There are many applications of thermal images in agricultural fields, such as detecting crop water stress, monitoring of free-range rabbits, measuring of crop canopy temperature and so on. Furthermore, the importance of thermal camera became the urgent need of perform the smart agriculture. Otherwise, the price of thermal camera is very expensive todays. Then, this kind of camera is not easy to find in the market. Therefore, it makes the utilization of implementation thermal images difficult. In order to handle this problem, the proposed method intends to generate thermal image from visible images. Further, the thermal information concerning with the agriculture, especially the fertility of leaves in paddy fields and the water stress can be monitored. The proposed method uses deep learning architecture to learn the thermal and visible image dataset. It applies Generative Adversarial Network architecture. This GAN pre-trained model trained using 150 images of training dataset and tested using many images of testset. The obtained model is used for generating thermal images from visible images. The results show the constructed thermal image has high accuracy. The assessment metric uses SSIM and PSNR methods. Their indexes show that the results have the high accuracy. The visual assessment shows the reconstructed thermal images also have high precision. Finally, the constructed thermal images can be implemented in smart agriculture purposes.
CLAMOT: 3D Detection and Tracking via Multi-modal Feature Aggregation

In autonomous driving, multi-object tracking (MOT) can help vehicles perceive surroundings better and perform well-informed motion-planning. Methods based on LiDAR suffer from the sparsity of LiDAR points and detect only in a limited range. To this end, we propose a camera and LiDAR aggregation module named CLA-fusion to fuse the two modal features in a point-wise manner. The enhanced points can be used for extracting features through a 3D backbone. For the detection, we adopts a center-based method which means detecting the centers of objects by a keypoint detector and regressing other attributes, like 3D size, velocity, etc. In the tracking part, we use a simple but effective matching strategy, closest-point matching. According to the structure and characteristics of the whole framework, we name our model CLAMOT. Our experiments on nuScenes and Waymo benchmarks achieve competitive results.
Lightweight Cryptography in IoHT: An Analytical Approach

The Internet of Things (IoT) revolution is transforming our medical system in the current day and making it smarter and smarter. It has a wide range of applications, combining potential mechanical, and financial healthcare. But the main crucial challenge of using IoT in healthcare is security. There were several drawbacks to using conventional cryptography algorithms like physical dimensions, computational needs, memory constraints, and energy consumption, etc. Using the lightweight cryptography concept all these limitations are removed easily and it also provides so many facilities to IoT devices. In this paper, we express a comprehensive analysis of different Ciphers and lightweight algorithms proposed by different researchers like SIMON, TOPSIS, ECC, TEA, ABE, etc. Several scopes and challenges using lightweight cryptographic algorithms using IoT techniques for medical purposes are also explained in the paper that will provide more benefits for future researchers in this field.
Blockchain-Based Framework for Secure and Reliable Student Information Management System Using Artificial Intelligence

Flexibility in administration process and access to student information have become difficult, besides validating the information and a waste of time in verification procedures. A simulation system to build a framework that records and archives the data of students who have been accepted into universities and saves their information to the university’s registration office using block chain technology has been proposed. The main purpose of this system is to provide the possibility of facilitating the processes of archiving student data remotely. The system provides the necessary facilities for each student to update (remotely) his information personally or through an authorized employee. Moreover, the system yields sufficient capacity to facilitate the work of the staff in the registration department regarding entering data, documents, validity of their issuance so that the student can verify the correctness of the information provided. In this research, the work is divided into two stages: The first stage is using the blockchain technology to save, modify, and archive information, and the second stage is protecting the information that is stored. The proposed system simplifies the task of the human resources unit in the educational institution and makes it more reliable with less effort.