Reviewerly/exHarmony huggingface dataset:
An Edge Preserving Image Denoising Framework Based on Statistical Edge Detection and Bilateral Filter

The task of reducing noise from an image is known as image denoising. Although there are various methods and algorithms proposed in the literature, the methods still have limitations. The approaches generally either fail to reduce noise adequately or cause to be lost while effectively reducing noise. Conventional methods have poor performance when considering the success of preserving region boundaries and small structures. Conversely, modern techniques are more effective to smooth images without over smoothing edge details. To address these deficiencies and benefits, in this paper, we aim to develop a framework, which is capable of detecting whether a pixel is a part of edges or textures in an image so the framework can decide which filter should be used depending on region information. The Rank Order Test Method is used to detect image edges. In this way, we determine both which neighbors should be included to build a filter mask in the calculation for each pixel and which filter method should be implemented. We have compared the performance of Bilateral Filter-based methods. Experiments demonstrate that the proposed framework outperforms in terms of both PSNR, SSIM and visual perception for the noise with standard deviations 10, 30, 50. While the average PSNR value was 30.33 DB for the proposed model, the method with the closest result achieved an average score of 28.33 DB.
A Modified Cuckoo Search Algorithm and Its Applications in Function Optimization

Abstract A modified Cuckoo search algorithm (MCS) is proposed in this paper to improve the accuracy of the algorithm’s convergence by implementing random operators and adapt the adjustment mechanism of the Levy Flight search step length. Comparative experiments reveal that MCS can effectively adjust the search mechanism in the high-dimensional function optimization and converge to the optimal global value.
QKD key generation control protocol

Abstract Polarization-encoding fiber QKD requires compensation of polarization distortion caused by birefringence in optical fiber. Solving this task inevitably requires losing some effectiveness in terms of the final key rate. In this work, a time-division multiplexing protocol for polarisation calibration is suggested. This protocol was implemented in a QRate commercial QKD fiber system, utilizing BB84-protocol. Parameters of the protocol were optimized to maximize the secret key rate.
The Classifications of Reasoning of Łukasiewicz and Ajdukiewicz as a Foundation for Systematising Argument Patterns

Computational models of arguments grasp a rich repertoire of complex reasoning structures that are employed in various kinds of decision-making processes, e.g., in political discourse, negotiation, mediation, and legal argumentation. However, in principle, they narrow down the account of reasoning to just one type, namely to defeasible inference that draws conclusions from the premises unless there is a defeater – a piece of information that rebuts the conclusion of an argument or undercuts the premise-conclusion link. The result of this treatment is that theoretical foundations for computational approaches to argumentation generally focus on one dominant type of reasoning. In this paper, we show that the logico-methodological tradition of the Lvov–Warsaw School may serve as an important motivation for enriching theoretical foundations of computationally oriented argumentation theories. We focus on Łukasiewicz’s classification of reasoning because in our view, it is best suited for the purpose of developing computational models of argument. We also pay attention to Ajdukiewicz’s critique of the former approach, as well as his own account, as it constitutes a direction for enriching the current state of the art in the study of patterns of reasoning.
The author's program "Natural Science Museum in the Life of a Modern School" as a way of realizing the culture-creating and pedagogical potential of natural science museums

This article deals with the implementation by teachers of secondary schools of the culture-creating and pedagogical potential of natural science museums with the help of the author's program. At the moment, there is a situation where society needs a holistic and informative potential of the museum. Modern education in the educational process is increasingly based on a number of museum disciplines. The museum, being a socio-cultural institution, directly influences the solution of crisis situations of civilization in the XXI century. It should be noted that the pedagogical position put forward by the authors on the potential of natural science museums, reflected in this article, is relevant not only for our country, but also for the whole world affected by globalization. The authors of the article, based on the findings of the study, compiled an author's program for teachers of secondary schools, in which they tried to reveal the main points on the implementation of the culture-creating and pedagogical potential of natural science museums.
Onset asynchrony in Western art music

Melodic onset asynchrony, whereby the upper or some component of a musical simultaneity may strike the ear ahead of other sounds, is a common feature in the performance of Western art music. It seems to be of high aesthetic value in the history of pianism, often harnessed to the seemingly contradictory “bass lead” that prevailed in the early 20th century, though in fact the two are far from exclusive. Departing from an application of Brent Yorgason’s taxonomy of “hand-breaking” (2009) to canonical, composed examples of onset asynchrony from Beethoven, Schumann, and Liszt, we examine timbral, organological, and aesthetic continuities that underly distinct practices of asynchrony. We consider the physical nature of such normally non-notated “microtiming”, ranging in performance from a few ms of melodic onset asynchrony to about 100ms, above which it is generally agreed that even the casual listener may perceive it. A piano-roll recording by Claude Debussy, of “The Little Shepherd”, illustrates the mix of melodic onset asynchrony, bass lead, and apparent simultaneity that may be applied in a single interpretation. We then discuss the concept of “audibility” and the question of to what extent, and in what ways, the combined transients of piano attacks may interact. We consider with reference to 20th century Russian piano pedagogy why onset asynchrony seems to have been a little documented, rather than an explicit playing technique, even though certain sources, such as a 1973 treatise by Nadezhda Golubovskaya, show it to be ubiquitous and well theorised. Finally, regarding the thinking that has predominated in musical performance studies in recent decades, with its emphasis on average practices and “ordinary” listeners, we suggest that a new emphasis will be fruitful, that is, research on what is particular about the embodied creativity of expert musicians.
WAYS OF TRANSLATING HATE SPEECH UTTERANCES FROM ENGLISH INTO UKRAINIAN

The article is devoted to the study of the peculiarities of translation of hate speech by means of the Ukrainian language. Particular attention is paid to the identification of the most frequent methods of translation of hate speech, which allows the preservation of its linguo pragmatic and socio-cultural features. The linguo pragmatic and sociocultural aspects are also considered. The article presents the results of the quantitative analysis of the use of translation transformations in the reproduction of hate speech for foreign linguaculture. The presented study demonstrated the results of a quantitative analysis based on nearly 400 English-language utterances, which were recorded in different uses and in different forms of manifestation. The most prominent examples were analyzed in detail, justifying one or another choice of mode of translation. The analysis of translation was presented according to the following structure: hate speech in modern social networks; manifestations of hate speech recorded in modern advertising campaigns and vintage advertisements; manifestations of hate speech caused by COVID-19; hate speech recorded in television shows, TV shows, and movies; manifestations of hate speech in Internet memes The phenomenon of "hate speech" is also seen as an actual interdisciplinary phenomenon, which requires thorough scientific and linguistic research, to prevent its dangerous consequences.
Special Topic on Integrated Quantum Photonics

The realization of scalable, real world devices in quantum technologies requires myriad new approaches and hardware components. Integrated photonics play a crucial role in many applications in quantum information and quantum sensing, enabling the realization of key components such as new light sources, waveguides, resonators, and detectors. The field of integrated quantum photonics is booming, and an increasing number of research groups are contributing to the accelerating efforts to study fundamental and technological challenges at the intersection of quantum optics, nanophotonics, and hybrid integrated devices. This Special Topic Collection is dedicated to highlighting important progress in the field of integrated quantum photonics and presenting new cutting-edge results, both experimental and theoretical, toward the common goal of exploring quantum photonic phenomena.
Literasi Digital: Tingkat dan Keandalan Sumber Referensi Mahasiswa dalam Menulis Esai Akademik

This study aims to describe the level of digital literacy and the reliability of reference sources for student academic essays. The research uses a quantitative approach with quantitative descriptive research. This research was conducted on 32 students of the UNM Language and Literature Education Study Program which were obtained using purposive sampling technique. Collecting data using questionnaires, documentation, and interviews. The data analysis technique used quantitative descriptive analysis using presentation techniques. The results showed that the digital literacy level of students in general was in the very high category and the reference sources for student academic essays generally came from credible and trusted sources. This means that students have excellent digital literacy skills and are used in learning to write academic essays online by using various technological devices and applications on the internet that support the learning process.
Optimized Hybrid DCT-SVD Computation over Extremely Large Images

High performance computing (HPC) is required for image processing especially for picture element (pixel) with huge size. To avoid dependence to HPC equipment which is very expensive to be provided, the soft approach has been performed in this work. Actually, both hard and soft methods offer similar goal which are to reach time computation as short as possible. The discrete cosine transformation (DCT) and singular values decomposition (SVD) are conventionally performed to original image by consider it as a single matrix. This will result in computational burden for images with huge pixel. To overcome this problem, the second order matrix has been performed as block matrix to be applied on the original image which delivers the DCT-SVD hybrid formula. Hybrid here means the only required parameter shown in formula is intensity of the original pixel as the DCT and SVD formula has been merged in derivation. Result shows that when using Lena as original image, time computation of the singular values using the hybrid formula is almost two seconds faster than the conventional. Instead of pushing hard to provide the equipment, it is possible to overcome computational problem due to the size simply by using the proposed formula.
COVID-19 Case Manager App for Oil &amp; Gas Companies

Abstract As COVID-19 quickly spread across the globe to reach pandemic levels, companies across every industry had to quickly adapt their business practices to allow employees to connect virtually and work remotely. This addressed new complications in several areas, including contact tracing. This paper reviews an approach that Siemens Energy took to remove the errors and inefficiencies in manually conducting contact tracing by automating the process using an end-to-end case manager app. The app, which provides full transparency, analytics, and support, fully digitizes contact tracing from each employee's mobile device or computer. We discuss the features of the app, how it has been used in the UAE region, and the benefits that the company has realized in automating contact tracing—including faster tracing time, improved accuracy, and greater compliance with UAE COVID requirements. In just a few months’ time, the app went from an idea to a fully-developed and widely used application—which is now approved for use in company facilities and business units around the world.
Coarse facial feature detection in sheep

We present a deep learning model for facial feature detection in sheep, which is part of a project on machine learning for kinship detection in livestock. Using YOLO-like training, we obtained a model capable of identifying the eye and nose line of the animal in the image, with a mean test error of ∼5 pixels (in a 256×384 input image). We further evaluated the effectiveness of the resulting pose estimation and alignment for kinship prediction and report its balanced accuracy of 73% – an improvement of 5% over our previous effort that had no benefit of the image pre-processing provided by the proposed feature detection network.
Implementation of G. Vashchenko's Pedagogical Ideas Regarding Patriotic Education of Preschool Children in the Conditions of the Modern Preschool Institution

The article reveals the stages of pedagogical activity of educators on patriotic education of older preschool children on the basis of pedagogical ideas of G. Vashchenko. The efficiency of the offered pedagogical conditions of patriotic education of preschool children is substantiated. The forms of work with preschool children on patriotic education proposed by G. Vashchenko are described in the research.
Media Literacy Education and Digital Transformation. New Challenges for Civic Universities

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
Semnoz

The war names of the two listeners were Arnaud, a radio operator, and Lise, a courier. They were waiting for Michel, the organizer of this small team. Despite the German jamming of the wave-length Lise somehow managed to hear the B.B.C. message indicating Michel’s arrival and by 8.20 p.m. it was a tired Lise and Arnaud who were ready to set off for their second climb of the Semnoz within twenty-four hours of having reconnoitred the mountain. Back and forth they ran, Arnaud doing double the work of Lise to make up for his moment of weakness and to save her from complete collapse. The giant bonfire was no sooner ready than Lise flopped down panting beside it in the snow. The red warning light came on and Michel glanced rapidly down to see the snow-clad mountain side rising until they were a mere three hundred feet above the trees.
Security Implications of the Global Quantum Internet

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Inclusivity Bugs and the Language We Use

If we knew many terms and phrases we commonly use such as, for example, sanity check, grandfathered, ladies and gentlemen or low man on the totem pole can discourage coworkers, colleagues, collaborators and other potential contributors from participating in our projects with their full authentic selves, would we still use them?
The Effect of Smart Factory Quality on Productivity Improvement and Flexibility Improvement: Focusing on the Mediating Effect of Organization Learning in Korea

Purpose: The purpose of this study is to focus on analyzing the direct influence relationship of vision, cooperation shared through organization learning, superior’s leadership, individual ability development and participatory decision making on the productivity and flexibility improvement, and to identify whether the smart factory quality is necessary in improving the productivity and flexibility. Therefore, targeting the manufacturing workers in Busan and Gyeongnam region, it intends to research the effect of understanding smart factory quality on the productivity improvement and flexibility improvement, and identify whether smart factory quality has the mediating role of organization learning in the relationship between productivity and flexibility improvement. Research design, data, and methodology: Total 400 questionnaires are distributed, and 83.5%(334 copies) are collected, and 57 copies with unfaithful responses are excluded among them, the statistic analysis is conducted to final 277 copies. The data collected through survey is coded and analyzed by IBM SPSS 25.0 and AMOS 25.0 statistics package. In order to check the regularity based on the data collected through survey, and the values of descriptive statistics, skewness and kurtosis of each questions on survey items and frequency analysis are identified and reviewed the appropriateness of many questions suggested through the Exploratory factor analysis in relation with smart factory quality, productivity improvement, Flexibility improvement, organization learning. And the internal consistency of variables is verified through the reliability analysis and correlation analysis using Cronbach’s α value. Finally, the mediating regression analysis is conducted to check the mediation of organization learning. Results: As a result of hypothesis verification, the smart factory quality is found to have the significant impact on the productivity improvement and flexibility improvement. As a result of mediating regression analysis of organization learning, the organization learning is analyzed to have partial mediating effect in the relationship between smart factory quality and productivity improvement. Implications: These study results mean that the smart factory quality influences the productivity improvement without the organization learning, mediating factor, in the relation between smart factory quality and productivity improvement. In relation between smart factory quality and flexibility improvement, the organization learning is analyzed to have the partial mediating effect. These study results mean that the smart factory quality influences the flexibility improvement without the organization learning, mediating factor, in the relation between smart factory quality and flexibility improvement.
TOPIC SEGMENTATION METHODS COMPARISON ON COMPUTER SCIENCE TEXTS

The demand for the creation of information systems that simplifies and accelerates work has greatly increased in the context of the rapidinformatization of society and all its branches. It provokes the emergence of more and more companies involved in the development of softwareproducts and information systems in general. In order to ensure the systematization, processing and use of this knowledge, knowledge managementsystems are used. One of the main tasks of IT companies is continuous training of personnel. This requires export of the content from the company'sknowledge management system to the learning management system. The main goal of the research is to choose an algorithm that allows solving theproblem of marking up the text of articles close to those used in knowledge management systems of IT companies. To achieve this goal, it is necessaryto compare various topic segmentation methods on a dataset with a computer science texts. Inspec is one such dataset used for keyword extraction andin this research it has been adapted to the structure of the datasets used for the topic segmentation problem. The TextTiling and TextSeg methods wereused for comparison on some well-known data science metrics and specific metrics that relate to the topic segmentation problem. A new generalizedmetric was also introduced to compare the results for the topic segmentation problem. All software implementations of the algorithms were written inPython programming language and represent a set of interrelated functions. Results were obtained showing the advantages of the Text Seg method incomparison with TextTiling when compared using classical data science metrics and special metrics developed for the topic segmentation task. Fromall the metrics, including the introduced one it can be concluded that the TextSeg algorithm performs better than the TextTiling algorithm on theadapted Inspec test data set.
Risks in the Education System in the District Centers of Russian Regions

The article analyzes the risks faced by educational institutions in Russian regions. The study reveals the state of education in the regions of the Russian Federation and changes that have taken place in the educational processes according to adopted innovations. The features of the educational process in educational institutions of Russian cities are shown. The empirical basis of the study includes in-depth interviews conducted in ten Russian regions with headmasters and teachers of district schools, teachers of additional education, representatives of cultural and recreational institutions, and representatives of district administrations. Teachers' attitude towards the risks that arise in the education system has been analyzed.
Chapter 4: Seismic Amplitude Fundamentals

PreviousNext No AccessUnderstanding Amplitudes: Basic seismic analysis for rock propertiesChapter 4: Seismic Amplitude Fundamentalshttps://doi.org/10.1190/1.9781560803836.ch4 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Before we address the deeper issues, let's investigate P-wave seismic amplitudes. There are different approximations and levels of complexity that we can use to quantify how compressional seismic amplitudes change. We'd like to be able to predict seismic responses and ultimately compare them to real seismic data in order to understand what we observe. Approximations and estimates depend on how close to reality you need to be and what resources you have available to create them. Permalink: https://doi.org/10.1190/1.9781560803836.ch4FiguresReferencesRelatedDetails Understanding Amplitudes: Basic seismic analysis for rock propertiesISBN (print):978-1-56080-382-9ISBN (online):978-1-56080-383-6Copyright: 2021 Pages: 194 publication data© 2021 All rights reserved. This book or parts hereof may not be reproduced in any form without written permission from the publisher.Publisher:Society of Exploration Geophysicists HistoryPublished in print: 26 Sep 2021 CITATION INFORMATION (2021), "Chapter 4: Seismic Amplitude Fundamentals," Geophysical Monograph Series : 47-71. https://doi.org/10.1190/1.9781560803836.ch4 Plain-Language Summary PDF DownloadLoading ...