Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF THE GENERAL EDUCATION LEVEL OF SUBJECT COMPETENCE IN PHYSICS OF TECHNICAL UNIVERSITY STUDENTS BY ENTRANCE CONTROL RESULTS

In this paper the analyzes of the general education level of subject competence from physics of the first year students of National Transport University by the entrance control results was performed. The entrance control from physics was carried out at the beginning of 2017‒2018, 2018‒2019 and 2019‒2020 academic years. The tasks for entrance control included the problems, complexity of which did not go beyond the limits of the program of physics for general education institutions of the standard level. The number of students who performed the tasks of entrance control from physics was 540 people. The analysis of the results of the entrance control revealed that most of the first year students had significant difficulties in solving even simple qualitative and quantitative physical problems. The latter indicates that the general education level of subject competence from physics of first year students turned out to be low enough. Thus, it leads to significant difficulties in studying general physics course of the technical university level.Among the reasons for such low results of students from entrance control in physics are the following: insufficient theoretical training level of students from the general education physics course, which is a necessary condition for solving simple physical problems; insufficient motivation of students to perform the tasks of entrance control. The following is suggested to improve the situation: during the current control, together with other forms, it is worth to use physical dictation, which will contribute to raising the theoretical training level of students from general physics course. In order to increase students’ motivation to perform the entrance control tasks from physics, a score for entrance control should be included into the students’ rating system in the first semester.
Research on a New Convolutional Neural Network Model Combined With Random Edges Adding

It is always a hot and difficult point to improve the accuracy of the convolutional neural network model and speed up its convergence. Based on the idea of the small world network, a random edge adding algorithm is proposed to improve the performance of the convolutional neural network model. This algorithm takes the convolutional neural network model as a benchmark and randomizes backwards and cross layer connections with probability p to form a new convolutional neural network model. The proposed idea can optimize the cross-layer connectivity by changing the topological structure of the convolutional neural network and provide a new idea for the improvement of the model. The simulation results based on Fashion-MINST and cifar10 data set show that the model recognition accuracy and training convergence speed are greatly improved by random edge adding reconstructed models with a probability of p = 0.1.
New Media Reality and Arts - Focusing C3on KOSMA’s Recent Activities since 2007

The advent of new media has been a great catalyst for many artists, thus stimulating their creative drive. It is clear that science and technology have reached an important position in relation to modern art, but without the artists' understanding of advanced science and engineering, this integration of art and technology would not have been possible. This study focuses on the activities of the Korean Society of Media and Arts (KOSMA), presenting theories and discourse on new technologies and media, and on how artistic interpretations and practices in this regard have panned out in Korea over the last decade. KOSMA, founded in 1998, has been studying virtually all human activities that are fulfilled through a variety of media. This has allowed KOSMA actively to realize artistic creations and conduct research activities that reveal a variety of interests in media. KOSMA has endeavored to conduct multi-dimensional and integrated research projects under its motto “the multi-disciplinary expansion of academics” since 2007. This research purpose of KOSMA provides the basis for multi-disciplinary and integrated inquiries. It also reflects the research purpose to create new synergistic effects. KOSMA has provided meaningful forums with the keywords of many creative rendezvous instances involving recent technology and visual art as the main paradigm of research exploration. Through academic symposia and media art exhibitions, KOSMA has discussed a wide range of advanced concepts in art and technology within the context of it subject matter. The ultimate purpose of these activities is to pursue the integration of 21st century research exchanges as aggressive actions reflecting today’s media reality. This study, which looks back the activities over the past 10 years, would be a meaningful record and summary of contents that adds value to the constant efforts of the KOSMA.
Building VR for the Web with A-Frame

In this chapter we will return to creating a virtual reality experience through the WebXR API. Though we used the Three.js library and the WebXR API to create a virtual reality scene in a previous exercise, in this chapter we will use the A-Frame framework. However, before we jump into the creative process with A-Frame, let’s review what we’ve learned so far in this course.
Enhanced SVD Based Image Compression Technique

With the growth of technology and entrance into the Digital World, it has found itself surrounded by a massive quantity of data. Dealing with such huge data/information will often creates difficulties while transmission of data or storage of data. One feasible solution to overcome such difficulties is to use a data compression technique. Image compression is a method in which the storage space or processing space of image is reduced without degrading the image standard or quality. It conjointly reduces the time needed for images to be uploaded over the Internet or downloaded from Internet. JPEG is a necessary technique used for image compression. So, in order to improve the quality of the image, compression is done using different techniques. In this research work, SVD algorithm is used for compression which is giving better result for image compression without any reduction in quality. The modeling of optimized Singular Value Decomposition (SVD) implemented for JPEG Image compression in MATLAB is implemented. SVD is the core part of the JPEG image compression. In JPEG Image Compression, a quantizer follows the SVD. Such structural channel is beneficial for reducing difficulty in the whole JPEG compression/encoding. To overcome the problem of  lossy compression implemented algorithm is designed in order to enhance the performance of compression algorithm with respect to performance evaluation parameters such as, Compression ratio , Bits per pixel , Peak signal to noise ratio, Mean squared error  and Signal to noise ratio.
Problems with Learning English in a National University: Inbuilt Capacity or National Policy?

The objective of this study is to analyze the English learning outcomes of Higher Education students in a national university. Taking Chomsky’s perspective on learning a language, this study is premised on the idea that people develop their grammar and language skill through informal learning process. Each individuals as argued by Chomsky has ‘inbuilt capacity’ to learn certain language since childhood. As method of collecting data, questionnaires were distributed and collected from 113 students from different background in a national university, Universiti Kebangsaan Malaysia (UKM). The respondents were asked to give comments related to English learning program which was done outside their classroom. The result of the study shows a high agreement on the English learning program and this could be seen as answers from the respondent were mainly agreed that English learning program in an ‘off-class’ university environment motivates them to pursue English speaking activities. Students agreed that they were not ashamed of speaking in publics, want to improve their English and most importantly will speak more English in future. Students in national university like UKM, though taken Bahasa Malaysia as a medium of instruction do not neglect the importance of English as international and market language. It is wrong to simply blame students’ problem with their ‘inbuilt capacity’ to learn English. The other factor influencing student most is national policy with regard to official language or medium of instruction at the university. This study implies that university policy must take into account both, national language and English, in order to enhance students’ performance in a job market.
Modern Educational Technologies as Effective Means of Psychological and Pedagogical Training of Military-Technical University Adjuncts as Teachers and Researchers

The relevance of the problem discussed in this article is determined by the existing contradiction between the humanistic orientation of the competent educational paradigm, which determines the personal-oriented organization of the educational process of the military-technical university and the dominance of the technocratic approach, due to its closed nature of military education as well as its profile orientation of the military-technical university. On this basis, this article identifies the place and role of modern educational technologies in the development of personal and professional reflection of military-technical university adjuncts in the process of their psycho-pedagogical training as teachers-researchers. The leading method was the method of studying and summarizing the author’s pedagogical experience. The article justifies the essential and phenomenological orientation of the self-development technology of the person, dialogue and interactive technologies in the process of teaching psycho-pedagogical disciplines in the educational practice of adjuncts. The essential focus, in general, is characterized by the development of personal and professional reflection of adjuncts of the military-technical university as a mechanism of their self-development, self-education, self-realization, both in the educational process, and in research, service and social activities. Phenomenological focus is reflected by specific psycho-pedagogical disciplines («Psychology and pedagogy of higher school», «Methodology and techniques of vocational-oriented teaching») along with the implementation of dedicated technologies.
Mentoring program with nursing students in the context of the pandemic of COVID-19 in Brazil

Objective: To reflect on the implementation of a mentoring program during the context of the COVID-19 pandemic Method: Description of a mentoring program carried out remotely with students from two nursing courses at a Brazilian public university With a team of 10 tutors, professors of these courses and with training in nursing and psychology, it was allowed to offer tutoring for all classes of the two courses, with virtual meetings held weekly Main results: In this optional program, it is possible to compare issues related to remote study, mental health and also professional identity From the initial assessment on the implementation of the mentoring program, recommendations for the composition of similar strategies are offered Main conclusion: The importance of these programs in the current scenario is reinforced, especially in a health course that has been highlighted on the front line to combat the pandemic
Physical knowledge graph design for efficient federated query processing

In the current context of data prevalence, knowledge graphs have emerged as a popular method to integrate and extract value of heterogeneous large-scale data sources. In this thesis, we propose a novel idea for efficiently computing queries in a knowledge graph: the optimization of its physical design by combining materialization and virtualization. To this end, we carried out an empirical comparison between these two approaches and studied the parameters that have an impact on their performances. State of the art benchmarks and engines are used throughout the work. We found that, for a lower number of triples, the efficiency is enhanced in the case of materialization. In contrast, virtualization tends to improve as the data size increases. The viability of our approach is confirmed, proving that this hybrid approach can indeed enhance considerably query performance by materializing specific parts of knowledge graphs. It is, to our knowledge, the first time that this idea has been tested, and we believe that this work can be the starting point for future research focusing in query performance.
Grouping and Correlating

When you collect your log data from multiple data sources such as network devices, servers, and applications, the need for correlating and grouping those logs may raise. For example, your application server log might store the transaction ID in the application server’s log files. If your application utilizes an external service, which is not uncommon, the transaction ID might appear on its log files. If you want to know the complete end-to-end activities of a particular transaction ID, you need to correlate your application server’s logs with the external service’s log files. Splunk’s SPL provides a rich set of commands to group data from multiple sources.
Making an End-to-End Pipeline in SageMaker

In this chapter, we will see how we can make an end-to-end pipeline of an entire machine learning process. We can use a combination of AWS services to automate the entire process of machine learning. All the processes that we have seen in the previous chapters, from the data processing steps to the endpoint generation, can be automated and then be run directly with a click of a button. The only thing we need to change is the dataset, but the process remains the same. Let’s see how we can automate what we did on the Big Mart dataset in the previous chapters.
Detection of Human Faces in Video Sequences Using Mean of GLBP Signatures

Machine analysis of detection of the face is robust research topic in human-machine interaction today. The existing studies reveal that discovering the position and scale of the face region is difficult due to significant illumination variation, noise and appearance variation in unconstrained scenarios. We designed work is spontaneous and vigorous method to identify the location of face area using recently developed You Tube Video face database. Formulate the normalization technique in each frame. The frame is separated into overlapping regions. The Gabor signatures extracted on each region by Gabor filters with different scale and orientations. The Gabor signatures are averaged and then local binary pattern histogram signatures are extracted. The Gabor local binary pattern signatures are passed to Gentle Boost categorizer with the assistance of face and non-face signature of the gallery images for identifying the portion of the face region. Our experimental results on YouTube video face database exhibits promising results and demonstrate a significant performance improvement when compared to the existing techniques. Furthermore, our designed work is uncaring to head poses and sturdy to variations in illumination, appearance and noisy images.
Reopening of sports and leisure facilities

Following the end of the national lockdown, the district’s leisure centres and outdoor sports facilities will re-open on Wednesday 2 December 2020, in line with the latest government guidelines.
Models and programs: better together (keynote)

There are two broad ways to construct computer systems: (1) Programming and (2) Learning. Programming makes sense when there is a clear mathematical specification, and a provably correct program to realize the specification, even though we might never write these down formally. Examples of these class of systems include databases, operating systems and tax processing systems. Learning makes sense when it is hard to write a mathematical specification, or provable implementations, even if we were to spend time and energy to write these down formally. Examples of these class of systems include image classification, NLP sentiment understanding, and language translation. In these cases, it is natural to specify intent using examples and learn a model that inductively generalizes from the examples. In this talk we consider situations where the two approaches can be combined, producing better results than using either approach in isolation. We conclude with opportunities in using programming language techniques to make ML models efficient, robust, interpretable, and verifiable.
ML for CAD - Where is the Treasure Hiding?

Advances in ML have revolutionized its effectiveness for a variety of applications. Indeed, in areas like image classification and NLP, ML (AI) has changed the rules of the game and opened the door to incredible advances. Design processes seem to match the ML paradigm perfectly. This mature area is highly automated, combines advanced analytic techniques, and generates large volumes of data that are used during the processes. With the promise of saving resources and improving quality, ML for CAD has attracted a lot of attention in the industry and academia. This is well reflected in conferences and journals; and the most advanced success stories and works-in-progress are being presented at MLCAD-2020.
DIGITAL HUMANITIES: ЦИФРОВА ЕРА У ГУМАНІСТАРИСТИЦІ

The article considers the main directions in the field of applied methods of using Digital humanity, characteristics of leading research centers, laboratories and programs. Digital humanities projects are described at several levels that start with basic computing (programming, processing, and protocols) and go through the organization and production levels (interface, devices, networks). The methods of Digital humanity that apply to almost all types of cultural research and are related to cultural practices that use the soft Media language are considered: computer design, editing, creating databases (text, library, online encyclopedias, communication tools in the form of chats, messengers, social networks, etc.), and digital sociological, philological, historical, ethnographic research. The article examines in detail the phenomenon of digital humanities in the context of Peter Galison’s theory of “zones of exchange”, understood as “local coordination of beliefs and actions”. The aim of the study is to show that the methods of knowledge production working in the digital humanities influence the mechanisms of its institutionalization. The article is detailed the tool-knowledge-institutionalization relationship is analyzed and conclusions are made about current and potential models of institutionalization of this “exchange zone” in a foreign language contex.In the course of our research, we show that the digital humanities function as a kind of cognitive laboratory with virtual extensions in digital space. Considering the relationship of knowledge production strategies and tool development, we come to the conclusion that without an understanding of the nature of humanities knowledge, condensed inside digital analytical tools (e.g. text analysis tools), it is impossible to comprehend the epistemological vector of digital humanitarian research.
Research Progress of Geophysical Exploration in Karatungk Mine in Northern Xinjiang, China

Karatungk Mine in northern Xinjiang, China, which is a large-scale magmatic Cu-Ni sulfide mine in the Central Asian orogenic belt, has a long history of mining. The mine is located at the merging belt between Altay orogenic belt and Junggar Basin, and has strong tectonic activities. In recent years, mining source detection has become an important target for mineral exploration due to the difficulties in ore body exploitation. In this paper, we systematically summarize the achievements of the geophysical explorations in Karatungk Mine from various aspects, including tectonic backgrounds of the mine, dynamic mechanisms, geophysical characteristics and scientific challenges in the future. Because of the restrictions of observation density and analysis methods, the fine geometrical structure of the mine cannot be completely characterized yet. Therefore, in order to obtain the high-resolution structure and detailed spatial distribution of orebodies, researchers should focus on combining multiple geophysical methods, developing high-resolution imaging methods, and improving petro physical experiments in the future.
Study of the frequency and distribution of various types of leukemia among the patient coming to Sir T. hospital Bhavnagar

Introduction: Pattern of leukemia is known to vary widely throughout the world.The characterization of distribution patterns of different subtypes of leukemia needs further study.Aim of our study is to determined the frequency and distribution of various types of leukemia among the patient coming to sir t hospital and correlate with age, sex and risk factors from period of May 2018 to April 2020.Aim: Study of the frequency and distribution of various types of leukemia among the patient coming to Sir T. hospital Bhavnagar.Materials and Methods: A retrospective study was done from May 2018 to April 2020.We analyzed the pattern of leukemia at GMCB by morphological subtype, gender, age at diagnosis, distribution according to prevalence, risk factors, laboratory parameters and clinical features of leukemia.Results: Morphological subtyping showed that 56 cases were of acute leukemia and 42 of chronic leukemia.Acute myeloid leukemia constituted the single largest group comprising (57.2%) of all cases, followed by chronic myeloid leukemia (42.8%), acute lymphoid leukemia (20.4%) and chronic lymphoid leukemia (12.2%).Conclusions: The data published in this study reflects the leukemia pattern.Low grade fever, progressive pallor, weakness and body aches were the commonest symptoms (70% cases) while pallor was the frequently observed sign.
IMPLEMENTATION OF FLIPPED CLASSROOM IN CIVIL ENGINEERING STUDENTS FROM MEXICO. RESULTS ON THE TEACHING-LEARNING PROCESS SINCE 2018 AND THE IMPACT OF THE ONLINE COURSES DERIVED BY COVID-19

IMPLEMENTATION OF FLIPPED CLASSROOM IN CIVIL ENGINEERING STUDENTS FROM MEXICO. RESULTS ON THE TEACHING-LEARNING PROCESS SINCE 2018 AND THE IMPACT OF THE ONLINE COURSES DERIVED BY COVID-19
Implementation of the concept of pedagogical facilitation in the context of sustainable education

In this article, the author presented the results of a study on the implementation of the concept of pedagogical facilitation in the context of sustainable education. The author of the article described his own experience of work at the university in creating facilitating conditions in the classroom in the discipline «Communication Technologies». The author’s concept of pedagogical facilitation is based on the teachings of K. Rogers, in which the main principles are trust, authenticity, unconditional acceptance, intersubjective interaction between students and teachers. In the context of sustainable education, the concept of pedagogical facilitation acquires special significance and value. This is explained by the fact that the principles of sustainable education (relevance, predictability, manufacturability, practicality) correlate with the principles of the concept of pedagogical facilitation. The analysis of the practice-oriented tasks performed by students confirms that the knowledge, abilities, skills, competencies that students master will be in demand both in professional activity and in the life scenario of everyone.