Reviewerly/exHarmony huggingface dataset:
Risk and Solution of English Language E-Textbook for Non-English Study Program Students

Abstract: E-textbooks are also referred to as electronic books, printed downloads, or internet sources. A textbook is an ideal example of technology in active learning for university students. E-textbooks are becoming more great choice than paper textbooks. In several academic institutes at a campus like the University of Muhammadiyah Palembang, where every lecturer is allowed to have a personal laptop. Thus, it's critical to look into how e-textbooks are adopted and how they might alter students' learning processes. The purpose of this study is to see what the risks of learning are and how to optimize the solution for learning and using English e-textbook for non-English study program students. This research’s novelty provides solutions and even optimizations related to the existing advantages and disadvantages specifically faced by non-English department students in learning English through e-textbooks. The solutions and optimizations are discussed descriptively into the modern approach and innovative technology. Furthermore, this research is beneficial for students to learn English for specific purposes.&#x0D; Keywords: E-textbook, risk, helpful, technology, learning
Strain Monitoring of an Aluminium Joint with an Optical System

Abstract The stresses distribution can be easily determined in the cross-section of the elements but in a joint, the distribution of stresses is more complicated. Its complexity is also increased if stiffeners are added to the joint and if the connecting bolts are not positioned in a regular configuration. An aluminium cantilever with a two bolts connection is experimentally tested to determine the real capacity. Stiffeners reduce the stress intensity in the connection, but they are prone to instability problems if they are subjected to compression. In order to determine the real stress development in the stiffeners, the Digital Image Correlation (DIC) technique was used. This technique determines the strains in the loaded parts which then can be equivalated to the stress distribution. The paper presents the stress development in the compressed stiffeners of an aluminium joint considering also improvement solution for increasing the bending capacity by reducing the instability parameters.
Structures and Meanings in the Agenda of The Scientific Community: an Overview of the International Conference

On October 22, 2021, MGIMO University hosted the international scientific conference Risks to the Human Capital of the Scientific Community in the Context of the COVID-19 Pandemic , organized by the Department of Sociology. The agenda of the conference included a wide variety of topics and issues related to self-identification of the scientific community in times of the COVID-19 pandemic. Its relevance and importance of the topic attracted participants from Russia, the Czech Republic, Italy, Belarus, Vietnam, Lebanon, Armenia, Brazil, Austria, China, Finland and Israel making it diverse and international. During the plenary session possibilities and boundaries of the use of the terms capital and risks in the sociological discourse were considered. The participants discussed global dilemmas of the civilization of the future, philosophical education in conditions of social turbulence, psychological factors in inflating risks and social instability as well as the demand for longterm humanistic trends to minimize risks for human academic capital in times of the pandemic. There were three sessions. The first one concentrated on the issue of human academic capital transformation in times of the pandemic. Its focus was on the effects of COVID on the sociological research agenda, new risks for social sciences (such as pseudoscientific arguments) and many others. The second session as devoted to digitalization with its influence, paradoxes, challenges, and risks. The speakers made it clear that digitalization today is not only a new research area, but a factor of producing social knowledge. This idea was illustrated by the analyses of advantages and disadvantages of scientometrics. The third session discussed the risks associated with digitalization of education and overall implications of the pandemic for the learning process. Both explicit and implicit, these implications of distant learning need to be considered. The participants spoke about digital competences and digital capital of university lecturers and professors, students’ academic mobility, etc. The sociological academic community welcome new perspectives and ideas, thus graduate students and masters were invited to participate in the conference together with experts. The conference bridged two main sociological trends: structural knowledge and comprehension. The former studies social institutions and structures and their functioning, while the latter investigates social actions and interactions, coupled with the meanings and intentions behind them. The current situation made it necessary to combine both approaches so that qualitative and quantitative methods would help study social structures, nuanced contexts, and values alike.
Modified KNN-LVQ for Stairs Down Detection Based on Digital Image

Persons with visual impairments need a tool that can detect obstacles around them. The obstacles that exist can endanger their activities. The obstacle that is quite dangerous for the visually impaired is the stairs down. The stairs down can cause accidents for blind people if they are not aware of their existence. Therefore we need a system that can identify the presence of stairs down. This study uses digital image processing technology in recognizing the stairs down. Digital images are used as input objects which will be extracted using the Gray Level Co-occurrence Matrix method and then classified using the KNN-LVQ hybrid method. The proposed algorithm is tested to determine the accuracy and computational speed obtained. Hybrid KNN-LVQ gets an accuracy of 95%. While the average computing speed obtained is 0.07248 (s).
Formative assessment as a means of forming the pupil's learning trajectory

The article examines the types of assessment in the modern school. The importance of formative assessment for the formation and development of personality, to achieve the designed learning outcomes, their correction and selection of tasks for individual work by each pupil to improve results is analyzed. Models of teaching in a modern school are described, and those that promote the development of individuals with «growth intelligence», for which formative assessment is used, are identified. The authour determines the principles and functions of formative assessment, the methods of formative assessment and the list of most often used methods in practice by teachers. Particular attention is paid to the benefits of using digital tools for formative assessment and to the fact of their active use by teachers, especially in blended learning. The paper proposes to design the assessment process: designing assessment by a teacher in a course and in a topic with the creation of a visualized plan for pupils and designing assessment in class with pupils through joint setting of diagnostic goals, involving pupils in planning learning activities in accordance with principles of systematicity, planning, differentiation. The value of feedback for the formation of an individual educational trajectory is determined and the conditions of its effectiveness are given. The paper notes the importance of both formative and final assessment and their integrated use: formative assessment – to provide feedback and correction of learning, final – to record learning outcomes. Conclusions are made on improving the progress of pupils in learning when planning a course, topic and lesson, which includes assessment planning, with the active position of each, conscious participation in the creation of the educational process, adjusting their own trajectory
RED W. SMITH NATIONAL LIBRARY FOR THE STUDY OF GEORGE WASHINGTON, АS UNIQUE INFORMATION RESOURCE

Purpose. The article by Svetlana Polovyk and Natalia Morshny «Fred W. Smith National Library for the Study of George Washington as a Unique Information Resource» reveals current issues of the Fred Smith National Library for the study of George Washington, which are analyzed in the context of history and creation of documentary fund as a set of information resources USA and the activities of the founder of the George Washington Institute of Presidential Power. Methodology. The research methodology is based on the application of general scientific principles of historicism, consistency, complexity, objectivity, comprehensiveness of knowledge. This was facilitated by the use of methods of analysis, abstraction, synthesis and generalization. Finding. Analysis of the composition and content of special collections stored in the library showed their important complementarity, because only together they form a single documentary and information space, which gives a real opportunity to join the historical context of an important state institution – the presidency. Scientific novelty. The scientific novelty of the obtained results is that the documentary heritage of D. Washington is studied as a single cultural and historical complex of the library. Practical value. Implementation of the experience Fred W. Smith National Library for the Study of George Washington in the work of similar structures in Ukraine. Results. The study concludes that the history of the formation and development of the Fred Smith National Library for the Study of George Washington is closely linked to the history of the state, its ideological and sociocultural priorities. Among the main areas of use of the first president’s documentary heritage are scientific, cultural and educational projects aimed at understanding the cultural and political heritage of D. Washington and the conditions of formation and development of American statehood.
Optimization of Video Cloud Gaming Using Fast HEVC Video Compression Technique

Cloud computing is a model of technology that offers access to system resources with advanced level of services ability. These resources are measured reliable, flexible and affordable for several kinds of applications and users. Gaming manufacturing is one filed that expands the profits of cloud computing as numerous new cloud gaming designs have been presented. Many advantages of cloud gaming have exaggerated the success of gaming based on the improvements on traditional online gaming. Though, cloud gaming grieves from several downsides such as the massive amount of needed video processing and the computational complexity required for that. This paper displays the original system drawbacks and develops a new and original algorithm to speed up the encoding process by reduces the computational complexity by exploiting the block type and location. Enhancements on the video codec led to 12.2% speeding up on the over-all encoding time with slight loss of users’ satisfactions. Keywords: Cloud gaming, Computational complexity, Motion estimation, HEVC, Video Encoding
The Influence E-Learning Platforms of Undergraduate Education in Iraq

continue learning. Technology has become not only an activity but also a fundamental tool. Moreover, technology becomes the core media that allows education to happen. In Iraq Blended Learning used to overcome the pandemic and counting education Therefore, the use of computers and digital applications became part of daily life and for long hours. Therefore, properly designed digital educational activities linked to social media have become a powerful educational tool aimed at finding ways of effective learning. The use of interactive activities contributed to the growth of self-learning motivation and the building of a healthy mind capable of finding a way out for the advancement of educational reality when crises occurred. It has become impossible to do without mobile devices, because of the attractive features they have and the multiple advantages they provide in teaching mathematical, medical, and engineering sciences in universities of our study relied on comparing the most important educational platforms with the best operation for managing virtual classes and the auxiliary tools they contain, including adding materials, assignments, tests, and electronic attendance records with archiving classes and migrating students to the advanced stages, as it relied on the electronic administration mechanism. All of these procedures take place through the availability of the Internet.
Exploring The Critical Factors Influencing the Using eLearning During the Covid-19 Pandemic: Case Study in Aljafara University Libya

Many institutions have been shut down and many economic, social, and educational activities have been disrupted by the spread of the coronavirus. Some universities and other educational institutions have opted for eLearning instead of traditional education techniques in order to keep the educational process moving. For the sake of students and teachers, several educational organizations have made their ePlatforms and libraries available for free. However, eLearning approaches have their own set of challenges and constraints that must be overcome to minimize their negative impacts. The purpose of this study is to identify the most significant problems that university instructors face when using eLearning. Teachers' views on eLearning in Libya are examined in this study, as well as their level of satisfaction and willingness to use the platforms. Many university professors were surveyed by e-mail to assess the most pressing issues they faced during the university's closure due to the development of the Corona epidemic. Instructors from two groups of academic workers who make up the sample: computer science department and mathematics department of Aljafara University are included in the study. SPSS software was used to conduct statistical analysis of the data. With a materiality of 71.8% and a mean of 3.62, the data reveal that the challenge of the instructors had the biggest impact. Third place went to all issues relating to students, and social issues came in second place. Materiality of 61% and a mean of 3.07 for accessibility were the next two factors that had the least impact on the eLearning process.
Pengaruh Penerapan Pembelajaran Blended Learning terhadap Hasil Belajar Siswa

ABSTRACT This study aims to determine the effect of the application of blended learning on the learning outcomes of class X MIA students at SMA PGRI 2 Padang. This study used a pre-experimental design in the form of a One-Shot Case Study by taking research subjects by Purposive Sampling. The sample of this research was the students of class X MIA. This study used descriptive questions as a final test instrument. The data analysis technique used in this research was a t-test. Based on the data collection techniques and data analysis carried out, it was obtained that tcount = 1.81 and ttable = 1.68, because tcount &gt; ttable, then reject H0 at a significant level of 0.05 so it can be concluded that there is an effect of applying blended learning on studensts’ learning outcomes of class X MIA at SMA PGRI 2 Padang. Keywords: Blended Learning, Learning Outcomes
Hybrid Path Planning for UAV Traffic Management

Unmanned Aircraft System Traffic Management (UTM) becomes a highly relevant complex challenge, as the UAV activity is rapidly growing bringing more amateur and professional drones to the urban skies. The main concern of managing such a system is safely navigating and controlling hundreds or thousands of drones simultaneously, flying in a crowded dense environments. This paper introduces an innovative approach of hybrid path planning, which tries to make the best out of the commonly used centralized and decentralized planning approaches. The Hybrid Path Planner (HPP) defines two configuration spaces: the Local Zone, which represents the crowded city zone with many obstacles and constrains, and the Global Zone, which represents the outer suburban zone, mostly open space with predefined flight corridors. The HPP server communicates with each UAV, assigning it a close-to-optimal path in the global zone, while leaving the relatively heavy-duty local zone path planning task to be performed by the UAV, mostly using stochastic methods like RRT <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">*</sup> . This approach reduces the complex path panning task of the centralized server to a simpler task of calculating only the entry and exit points to and from the global zone. This robust approach supports handling a high number of UAVs, while keeping close to optimal performance.
Target-oriented Self Training for Heterogeneous Domain Adaptation

Although the distributed machine learning platform is very successful in the application of structured data, it is still very challenging in the absence of labeled data and a variety of data forms. Therefore, heterogeneous domain adaptation (HDA) emerged at the historic moment, with the goal of transferring knowledge between domains of different features and different distributions. Existing HDA methods only focus on the better alignment of the target domain with the source domain, while ignoring the rich semantic structure information of the target domain data itself, thereby affecting the performance of knowledge transfer. In order to solve the above problems, we propose a simple and effective self-training method oriented to the target domain. Specifically, we use the clustering algorithm to find the prototype of the target domain clusters, and select confident unlabeled data through a novel method of finding pseudo-labels that we propose. Under two self-training mechanisms, that is, single-stage Self-training (TST-SS) and multi-stage self-training (TST-MS), without introducing any additional network parameters, gradually train the transferable model. We conducted extensive experiments on cross-domain and cross-feature tasks to prove that our method is far superior to the existing heterogeneous domain adaptation methods.
The Parallel Optoelectronic Reservoir Computing Based Nonlinear Channel Equalization

The optoelectronic reservoir computing (RC) is considered as a promising optical signal processing technique for nonlinear channel equalization. In this paper, a parallel optoelectronic RC scheme with a dual-polarization Mach- Zehnder modulator (DPol-MZM) is proposed and demonstrated numerically. The nonlinear channel equalization performance is greatly enhanced compared with the traditional optoelectronic RC scheme and Volterra-based DSP scheme, since the nonlinear dynamics of RC are enriched from the dual-polarization methodology. Besides, the system efficiency is improved with a single DPol-MZM.
Development Status and Countermeasures of Innovation and Entrepreneurship Service Platform in China's Universities

Innovation and entrepreneurship service platforms in colleges and universities bear the dual responsibility of education on and support for innovation and entrepreneurship. However, at present, they are confronted with such problems as insufficient government policy publicity, insignificant transformation effect of scientific research achievements, fragile business environment, and weak financing function. To continue to advance the construction of innovation and entrepreneurship service platform for college students, it is necessary to improve the government environment of those platforms within colleges and universities, build the service platform based on the transformation of teachers’ scientific research achievements, enhance the business environment for college students’ innovation and entrepreneurship, and promote the financing capacity of colleges’ incubators.
Analysis of Data Model for News Media

Abstract. The article deals with communicative aspect of using metadata in news media. The relevance of the study is due to the objective need for theoretical justification and the specification of new communication models that have arisen with new channels of communication emergence, media digitalization and convergence. Some modern scientific works raise issue of “the communication of metadata model” in connection with the development of metadata journalism. In particular, the purpose of this article is to analyze the components of the metadata model in news media by the standard of the International Press Telecommunications Council. The rNews standard defines the terminology and a data model for embedding metadata in web documents. It was found that the rNews data model is nonlinear, because the communication in new media is positioned as a two-way process of interaction of actors. The model captures the feedback elements: one of its components is the User Comments Class with the relevant attributes, which, on the one hand, helps to make communication more effective, as the active role of the audience is provided, supported and stimulated, and on the other – makes it possible to create the original metatext. In the communicative aspect, the model is based on a two-way asymmetric model that fixes the feedback, but retains the leading role of the communicator. Asymmetry is reflected in the quantitative (disproportion between the number of “professional” and “naïve” communicators), communicative (disproportion of the “voices” of communicators and recipients, interfering with the building a dialogue) and intentional (unequal intentions of communicators and recipients) forms. The model reflects the general trends in the development of modern mass communication: the target setting for the formation not knowledge, but opinion, the removal of barriers to the involvement of audience in communication, the shift of information from the objective, factual, not related to the situation and participants of communication to a pragmatic, subjective one, synergetic effect of interactive polycode content. Issues of modeling communication processes in new digital media, the transformation of the roles of communicators and recipients, the formation and dissemination of polycode content, its impact on the audience are promising areas of further research and can be explored in various aspects.