Reviewerly/exHarmony huggingface dataset:
Proposal for Reorganizing Narratives Related to the ‘Goryeo-Mongol Relationship’ in 〈Korean History〉 Textbooks

Through several revisions to the curriculum, the goal of history education has changed to add elements such as cultivating historical thinking skills and civic awareness, based on the element of establishing self-identity-national consciousness.<BR> The current textbook’s narrative related to the Goryeo-Mongol relationship is faithfully structured in the educational goal of establishing national consciousness. This narrative has not been presented in a historical context or avoided from the current perspective, which can be said to be the essence of history and history subjects, making it impossible for students to fully understand the perception and response of the “current” other, the “Goryo” people to Mongol. In addition, by conveying distorted images based on our incomprehension of the Mongol, this narrative does not educate the value of mutual respect necessary to solve the problems that arise in our relationships with others. <BR> History education is needed to reveal the structure and context of the Goryeo-Mongol relationship and reveal various perspectives of the Goryeo people on such relationships and objects so that learners can understand the perceptions and actions of Goryeoy people, the “current others.” For this, it is thought that a reconstructed open narrative that can modify or supplement the closed and biased narrative of the current textbook is needed. This paper presents an example of the reorganized narrative related to the Goryeo-Mongol relationship.
Twin-field quantum key distribution over free-space optical channels in the presence of atmospheric turbulence

Future quantum communication networks envisaged on a global scale will include various networks interlinked via optical fiber and free space channels. In recent years, quantum key distribution (QKD) protocol based on optical fiber has been extensively studied. Twin-field QKD (TF-QKD) may enable 550 km QKD using standard optical fiber without quantum repeaters. However, the performance of TF-QKD in free-space channel is still unclear. In this paper, a free-space channel model is proposed with specific turbulence characterization discussed. Here, the key rate of TF-QKD under multiple scenarios considering the variation of turbulence and different link configuration is investigated. Simulation results demonstrate that the performance of free-space TF-QKD is related to link configuration and turbulence motion which is determined by surface feature, time and height. Furthermore, TF-QKD protocol is a potential scheme for the free-space quantum communication.
ÇEVRİM İÇİ EĞİTİM PLATFORMU UDEMY ÜZERİNDE VERİLEN TÜRKÇE FLÜT KURSLARININ İÇERİK YÖNÜNDEN DEĞERLENDİRİLMESİ

This study aims to examine the Turkish flute courses on Udemy, an online education platform, in terms of content.In this context, the problem status of the study was determined as "what is the content of the Turkish flute courses taught on Udemy".In this qualitative study, the descriptive survey model was used as a method.The research population consists of flute courses on the websites, and the sample consists of Turkish flute courses on Udemy.The data were obtained through a detailed examination of the information belonging to Turkish flute training courses found on Udemy, which provides distance education.In data analysis, the content analysis method was used.Strengths, similar and different aspects of the examined course contents were interpreted by making comparisons.As a result of the research, it was determined that the contents of the online courses examined are at a medium level in terms of audio and video quality, the audio and video recordings are not made in the studio environment except one course, not sufficient technical information is provided on the flute education, and the course contents differ in many aspects.In the study, suggestions were made that the video and sound recordings of the educations given on these platforms should be produced in a studio environment with professional equipment.
Local bit-plane neighbour dissimilarity pattern in non-subsampled shearlet transform domain for bio-medical image retrieval

This paper introduces a novel descriptor non-subsampled shearlet transform (NSST) local bit-plane neighbour dissimilarity pattern (NSST-LBNDP) for biomedical image retrieval based on NSST, bit-plane slicing and local pattern based features. In NSST-LBNDP, the input image is first decomposed by NSST, followed by introduction of non-linearity on the NSST coefficients by computing local energy features. The local energy features are next normalized into 8-bit values. The multiscale NSST is used to provide translational invariance and has flexible directional sensitivity to catch more anisotropic information of an image. The normalised NSST subband features are next decomposed into bit-plane slices in order to capture very fine to coarse subband details. Then each bit-plane slices of all the subbands are encoded by exploiting the dissimilarity relationship between each neighbouring pixel and its adjacent neighbours. Experiments on two computed tomography (CT) and one magnetic resonance imaging (MRI) image datasets confirms the superior results of NSST-LBNDP when compared to many recent well known relevant descriptors both in terms of average retrieval precision (ARP) and average retrieval recall (ARR).
Research and Construction of Copyright Protection Platform for Artificial Intelligence Creation

The emergence of artificial intelligence provides a powerful catalyst for the cultural industry and also puts forward new requirements for the structure of traditional copyright law. According to the reality of copyright system in our country, the creation of artificial intelligence should be included in the scope of object protection of copyright law, and the possibility of “artificial intelligence itself” becoming the author should be denied. Only the designer of artificial intelligence has the intention of creation and can become the author. In terms of the identification of the ownership of rights, we should consider the important factor of protecting investment and promoting industrial development and guarantee it through special system design, so as to provide legal basis for the dispute resolution of artificial intelligence creation.
The essential neurological examination in telemedicine consultations in the context of COVID 19/ O exame neurológico essencial nas consultas de telemedicina no contexto da COVID 19

Introduction: In clinical evaluation, the neurological area is one of the most complex and extensive to be analyzed, besides that, when added with Neurophobia it becomes even more difficult. With the COVID-19 Pandemic, there was an accelerated process of migration from outpatient clinics to digital platforms, requiring doctors to update their way of examining patients. The essential neurological examination, the tool that collaborates in this updated assessment, demonstrates greater objectivity in confirming the normality of the neurological system. The practice of checklists is a tool that helps these doctors to better evaluate their patients, optimizing their time and exams, contributing to its clinical diagnosis. Methodology: Review study integrative process that culminated in the elaboration and adaptation of new measures for essential neurological therapy in patients in the context of COVID-19 through Telemedicine. Results and Discussion: When comparing the essential neurological exam with the knowledge experienced by the authors of this article and the global pandemic context, were recommendations on the application of telemedicine were made. In addition to the need for doctor-patient communication to be audible and visible, without external interference so as not to impair the exams, the participation of a patient's companion is important to assist the doctor in exams. With that done, we identified that some of the exams essential neurological conditions become difficult to perform digitally, being: Indirect fundoscopy and reflexes (Biceps, Brachioradialis, Triceps, Patellar, Aquileu). However, exams such as direct fundoscopy, pupillary reflex, eye chase, mimic facial, gait, and plantar reflex can be examined via digital platforms as long as always the patient is accompanied. Conclusion: It is concluded that, amid pandemic, essential neurological examination becomes outdated, but useful in several areas, helping the doctor to take more informed measures.
Cost Efficient Media Cloud Storage and Systematic Risks Involved in the Cloud Computing

Now a days data is growing at a very fast rate. Here data is referred not only with organizational data but the data also from non-organizational and social media, the data may be PDF’s, Photos, Audios, Videos, XML file etc. To earn more profit, the organizations tends to establish Cloud Storage with minimum establishment cost and high security. To provide robust and secure platform is the main aspect of cloud. Lots of algorithms have been designed and implementing for securing the data at cloud but the attack on 2014 on cloud in which 50 million accounts were hacked, shows that cloud is not fully secured. The main focus of this paper is to draw attention towards security issues and cost-efficient cloud and the solution for implementing it.
Light Weight Cryptography and Its Application in Resource Constrained Environment Using Reversible Logic

The field of cryptography has seen a tremendous shift of paradigm in its operating nature and domain to suite a wide arena of developing technologies and application. Today lightweight and smart devices are the keywords for any latest technological advances to be recognized and accepted. This paper tries to throw light upon the various available lightweight symmetric block ciphers, their structures. An effort has been made to understand the resource constrained environment (RCE) and how lightweight cryptography emerges as a suitable contender in the application to the resource constrained devices. In this paper the application of reversible logic to LWC (Light Weight Cryptography) design has been discussed as it can bring in subtle changes in the power requirement.
Library transformation

Purpose: The main objective of this study is to examine the importance of digital libraries during the COVID-19 pandemic in dissemination of information services, to know the users’ perspectives towards its success and also examines the challenges faced by the libraries during this pandemic and also about how the librarians cope up with the challenges and function in the new normal situation.Methodology: An online Pan-India survey was conducted among library professionals and user communities. By using survey instrument, Google Form, a total of 12 questions were asked from general to specific towards use of digital libraries during pandemic period. Total 250 responses were received. The responses received were categorized, analyzed and presented in this paper. The research data were primarily collected from blogs, social media and online survey which were carried out among various library professionals to know their perspective towards digital libraries, new skill requirement and current challenges faced by the libraries in the new normal imposed on us due to COVID-19 pandemic.Findings: This study reveals that the library professionals are eager to learn online technologies for developing and delivering information services. It also identifies that to remain connected and to spread knowledge, large numbers of online webinars are conducted in library fields. The major challenges the librarians faced during COVID-19 are physical distancing from workplace, fear of disease contraction, Lack of high speed internet connection, low response of users in social media platforms etc.Originality/ value: This is an original study conducted in India which gives an overview on the transformation of libraries by using digital library services to meet the need of the users during COVID-19.
Evaluating the Robustness of New Holistic Description Methods in Position Estimation of Mobile Robots

In this work, some holistic description methods are evaluated in the framework of a localization task in heterogeneous zones, task that an autonomous robot should be able to perform correctly. The unique source of information is an omnidirectional vision sensor and the work is focused on the use of holistic or global-appearance techniques to describe the visual information. Holistic descriptors consist in obtaining a unique vector that describes globally the image. The goal of the experiments is to check new approaches to build and to handle global descriptors. Previously, the holistic descriptors have been processed without considering the spatial distribution of the information. In contrast, in this work two different new methods are proposed which take the assumption that the most relevant information is on the central rows of the panoramic image. For this reason, in the proposed description methods, the central rows have a higher weight comparing to other zones of the image. The new techniques are compared with the classical method. The experiments are carried out in real environments, with sets of images captured while the robot traversed in different heterogeneous routes. Also, variations of the lighting conditions, people who occlude the scene and changes on the furniture may appear.
The Influence of NCS-Based Curriculum on Learning Satisfaction of the Beauty Related Sector Learners for Job PROTECTION -Focusing on the Mediating Effect of Learning Immersion-

Purpose: This study is to analyze the mediating effect of learning immersion in the relationship between NCS-based curriculum and learning satisfaction of the beauty related sector learners. By doing so, it aims to present basic data for revitalizing the beauty education industry and job security and protection by studying the effects of sub-factors of NCS-based curriculum on learning satisfaction of the beauty related sector learners. Method: This study collected 219 copies of answer sheets through an online survey method for learners of beauty related sector at NCS vocational training institutions. An empirical statistical analysis was performed using SPSS 25.0, PROCESS macro for SPSS. Multiple regression analysis and PROCESS macro model 4 were used. The significance of the mediating effect was confirmed through the bootstrap procedure. Results: As a result of conducting multiple regression analysis to verify the effect of the sub-factors of the NCS-based curriculum on learning satisfaction, it was found that educational content, educational method, and educational environment had a statistically significant positive effect on learning satisfaction. It was found that learning satisfaction was affected in the order of educational envi-ronment(β=.370, p<.001), educational method(β=.299, p<.001), and educational content(β=.142, p<.05). In addition, the partial mediating effect of learning immersion was judged to be statistically significant in the relationship between NCS-based curriculum and learning satisfaction. Conclusion: NCS-based curriculum was found to be a major factor in enhancing learning satisfaction in beauty related sector education, and it can be said that it indirectly affects learning satisfaction through learning immersion. Therefore, it is proposed to prepare an educational environment suitable for the characteristics of vocational training in the beauty related sector and develop suitable educational methods. In addition, if learning immersion is strengthened, it is expected to be of great help in achieving the goal.
Reviewer Acknowledgements

Applied Economics and Finance (AEF) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether AEF publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 8, Number 4 Albert Henry Ntarmah, Jiangsu University, GhanaFahri ÖZSUNGUR, Adana Science and Technology University, TurkeyHichem Maraghni, University of Taibah, TunisiaIan McFarlane, University of Reading, UKIgor Matyushenko, School of Foreign Economic Relations and Touristic Business, UkraineOlena Sokolovska, St. Petersburg State University, RussiaRajeev Rana, APB Govt. P.G. College, IndiaRamona Orastean, Lucian Blaga University of Sibiu, Romania Nikki GibbsEditorial AssistantOn behalf of,The Editorial Board of Applied Economics and FinanceRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://aef.redfame.com
Peer review declaration

All conference organisers/editors are required to declare details about their peer review. Therefore, please provide the following information: • Type of peer review: Single-blind peer review by two program committee members with the mandatory spell and style check • Conference submission management system: : submissions were received and handled via e-mail W Jordan@mail.ru. • Number of submissions received: 53 • Number of submissions sent for review: 42 • Number of submissions accepted: 25 (2 retracted by the authors) • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 50% • Average number of reviews per paper: 2 • Total number of reviewers involved: 13 • Any additional info on review process: All the submissions were reviewed in two round. • Prior to the conference, preliminary texts (in Russian or in English) and slides (in English) were reviewed by one of the co-chairs of the program committee, who is responsible for this particular session. • After the conference, authors of the reported studies were encouraged to submit full texts in English for publication in this volume. The independent referees (at least one per paper) reviewed all texts. The review process was supervised by the volume editor and by the review coordinator. The editor communicated to the authors all suggestions and comments from the referees. After the revision, the editor may submit the revised document to the reviewer to get the confirmation of successful revision. • Reviewers of the scientific journal on High-performance computing systems and technologies (http://journal.asu.ru/hpcst/about) contributed to the process. • Spell and style check was applied for all accepted papers. Specialists from the academic English language departments of Tomsk State University, Altai State University, and Tomsk Polytechnic University were invited. • Contact person for queries: Vladimir Faerman, Senior lecturer, Faculty of Security, Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia), fva@fb.tusur.ru
Improved Faster R-CNN for Automatic Video Annotations

With the development of digital multimedia, how to manage a large amount of existing and incremental media assets has become an urgent problem. With the development of machine learning, the use of object detection framework to achieve intelligent cataloging and intelligent management of media assets will greatly improve work efficiency. Currently, Faster R-CNN is used quite often in intelligent cataloging, but the framework has the problem of low accuracy using feature extraction networks. In view of this, based on the Faster R-CNN object detection framework with VGG-16 as the feature extraction network, a novel object detection framework (DF-Faster R-CNN) was designed with ResNet-101 as the feature extraction network in this paper, which improved the recognition precision of the object detection framework. Compared with the current mainstream methods, the improved model proposed in this paper can effectively identify objects with overlap, occlusion and blur objects in the video, and is more suitable for image recognition in film and television works. The test results of this method on the MSCOCO data set show that compared with mainstream framework such as Fast R-CNN, Faster R-CNN, Pelee, and SIN, the method is significantly improved on mAP, and also has a higher precision in the ten types of object recognition experiments in PASCAL VOC dataset.
Working with Text

Every user interface needs to display information on the screen. While this information can appear in a variety of forms, one common type of information to display on the user interface involves text. If you want to display text on the user interface, you need to define a string to appear in a Text view such as
Correlated Initialization for Correlated Data

Spatial data exhibits the property that nearby points are correlated. This also holds for learnt representations across layers, but not for commonly used weight initialization methods. Our theoretical analysis quantifies the learning behavior of weights of a single spatial filter. It is thus in contrast to a large body of work that discusses statistical properties of weights. It shows that uncorrelated initialization (1) might lead to poor convergence behavior and (2) training of (some) parameters is likely subject to slow convergence. Empirical analysis shows that these findings for a single spatial filter extend to networks with many spatial filters. The impact of (correlated) initialization depends strongly on learning rates and l2-regularization.
Motion Planning of Half-Humanoid in the Presence of Obstacle

In this work, path planning and dynamic analysis of half humanoid is presented for object manipulation in approach and post grasping phases. First, the kinematic and dynamic modelling of the half humanoid is presented. Next, Rapidly Exploring Random Tree Star (RRT*) is used to find a collision-free path in approach phase, and path smoothing is done by reducing the redundant points in the generated path. Continuous motion planning is achieved by interpolating each path segment, generated using RRT*, with a cubic polynomial trajectory. Finally, numerical studies are presented for 12-DoF Half Humanoid manipulating an object.