Reviewerly/exHarmony huggingface dataset:
The Issue of Investigation into BitTorrent’s Copyright Infringement Case

출현한 지 20년 가까이 된 비트토렌트 프로그램은 그동안 저작물 파일을 무단으로 공유하는 수단으로 확실히 자리잡았다. 그동안 별다른 제재나 기술적 조치 등 의무를 부과하지 못한 탓에 이용자도 계속 증가하는 추세이다. 저작권자들의 꾸준한 고소로 지속적인 관련자 수사가 이루어지고 있지만 토렌트 이용은 줄어들지 않고 있다. 그 이유는 토렌트를 이용한 저작권 침해 사건에서 수사 대상이 되는 자들이 제대로 처벌받지 못하고 있기 때문이다. 저작권자와 이용자, 파일 공유 서비스 운영자 간 상생이 요구되는 상황에서 이들 간 균형을 허무는 행위에 엄격한 법적 처벌이 요구됨에도 작금의 현실은 ‘저작권 보호’에 다소 취약한 방향으로 수사와 재판이 진행되는 것으로 느껴진다. 비트토렌트 저작권 침해 사건에서의 수사 대상은 토렌트 프로그램을 개발하고 배포하는 서비스 운영자, 시드파일 헤비업로더인 토렌트 사이트 운영자, 저작물 원본 파일 무단 배포자 등 크게 셋으로 나뉜다. 본 연구에서는 각 수사 대상자별 관련 판례 등을 검토하여 어떠한 이유에서 이들이 처벌되지 않고 있는지 살펴보고 처벌의 필요성 등을 제시한다.The BitTorrent program, which has been in existence for nearly 20 years, has certainly become a means of unauthorized sharing of copyrighted files. The number of users continues to increase due to the failure to impose obligations such as special sanctions and technical measures. The constant complaints of copyright holders have led to continuous investigations into those involved, but the use of torrents has not decreased. The reason is that those who are subject to investigation in the case of copyright infringement using Torrent are not being punished properly. Despite the need for co-prosperity between copyright holders, users and file-sharing service operators, the current reality is that investigations and trials are conducted in a way that is somewhat vulnerable to “protecting copyrights.” The investigation targets in the BitTorrent copyright infringement case are largely divided into three categories: service operators who develop and distribute Torrent programs, Torrent site operators who are seed file heavy uploaders, and unauthorized distributors of original copyright files for works. In this study, the relevant cases of each person subject to investigation are reviewed to see why they are not being punished and to suggest the necessity of punishment.
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss

In this paper, we propose a self-supervised single-view pixel-level accurate depth estimation network, called PLADE-Net. The PLADE-Net is the first work that shows unprecedented accuracy levels, exceeding 95\% in terms of the $\delta^1$ metric on the challenging KITTI dataset. Our PLADE-Net is based on a new network architecture with neural positional encoding and a novel loss function that borrows from the closed-form solution of the matting Laplacian to learn pixel-level accurate depth estimation from stereo images. Neural positional encoding allows our PLADE-Net to obtain more consistent depth estimates by letting the network reason about location-specific image properties such as lens and projection distortions. Our novel distilled matting Laplacian loss allows our network to predict sharp depths at object boundaries and more consistent depths in highly homogeneous regions. Our proposed method outperforms all previous self-supervised single-view depth estimation methods by a large margin on the challenging KITTI dataset, with unprecedented levels of accuracy. Furthermore, our PLADE-Net, naively extended for stereo inputs, outperforms the most recent self-supervised stereo methods, even without any advanced blocks like 1D correlations, 3D convolutions, or spatial pyramid pooling. We present extensive ablation studies and experiments that support our method's effectiveness on the KITTI, CityScapes, and Make3D datasets.
Pointing Things Out: Prominence and the Attentional State of a Discourse

This chapter provides the key elements of the account of context and context-sensitivity. Like the shifty, dynamic account of context in Chapter 3, this account models context as a running record of candidate interpretations for context-sensitive items, for exmaple, demonstrative pronouns. However, by contrast, the chapter argues that context organizes candidate interpretations by prominence. Further, it argues that prominence is fully linguistically determined: the context is updated exclusively by linguistic rules, through effects triggered by elements in the logical form of a discourse. These elements are richer than standardly thought, including, for example, contributions of demonstrative gestures. A demonstrative, then, receives a simple unambiguous meaning: as a matter of its meaning, it simply selects the most prominent interpretation that satisfies its lexically encoded constraints. This account is argued to be empirically more adequate, and avoids the theoretical challenges facing the alternatives discussed in earlier chapters.
MENINGKATKAN MINAT DAN HASIL BELAJAR SISWA PADA MATA PELAJARAN IPS MATERI BERBAGAI PEKERJAAN MELALUI MODEL PEMBELAJARAN SCRAMBLE DI KELAS IV SEKOLAH DASAR NEGERI 07 LEMITO

Wahdian Dunggio, 2020. Increasing Interest and Student Learning Outcomes in Social Sciences Subjects in a Variety of Occupations Through the Seizure Learning Model in Class IV of Public Elementary School 07 Lemito. Thesis, Social Studies Concentration Program Postgraduate Basic Education, Gorontalo State University. Advisors (1) Prof. Dr. Evi Hulukati M.Pd, Advisor (2) Dr. Sukarman Kamuli, M.Sc.              The purpose of this research is to: To learn whether the scramble learning model can increase interest and learning outcomes in social studies class IV students at Lemito State Elementary School 07. This research uses classroom action research. The research phase consists of planning, implementing actions, observing, and reflecting. The object of the research was grade IV students of SDN 07 Lemito, Lemito District, Pohuwato Regency. Data collection techniques are: 1) observation sheets of teacher activities and student activities during the learning process and 2) tests of student learning outcomes. The research hypothesis is that if social science learning is carried out using the Scramble Learning Model, the students' interest and learning outcomes in grade IV students of SDN 07 Lemito, Lemito District, Pohuwato Regency will increase, with an indicator of maximal learning spending of 80% while for indicators of the amount of money sought is a minimum student value 75 increased from 67% to a minimum of 86%. As a conclusion of this research are: The use of Scramble learning models can increase student learning interest in various subjects Social Studies subjects. This can be proven by an increase in each indicator of interest in learning from cycle I to cycle II. At the time of implementing the action, I only chose 56.5%. Furthermore, the indicator of interest in the first cycle only 53.5% experienced an increase in the second cycle to 83.5%, while the attention indicator in the first cycle only 56.6% increased to 83%. 80% and have met the indicators of success. The use of the struggle for learning models in social studies subjects in addition to increasing interest in learning can also improve student learning outcomes in the cognitive or knowledge domain. This is evidenced by the increase in student learning outcomes by 19%, while in the first cycle that completed learning by 67% or 10 students increased to 86% or 13 students in the second cycle.
Sentiment Analysis of News Reports in the Period of New Coronavirus

The spread of new coronavirus has a significant impact on the world. To protect people from viruses, a large number of personnel and substances in research, production, medical treatment, and other aspects are used to deal with the virus. News reporting is an important way for people to obtain information about the coronavirus. Objective and immediate news reports can provide people with accurate information and correct response methods, thus playing their due role in defeating the coronavirus. In order to compare the emotional characteristics of news reports, the methods of natural language processing are used to conduct sentiment analysis on news reports, including the subjectivity and the polarity of news reports. We select the news websites of BBC and CNN, that have an important influence in the world, for comparative analysis. The results show that BBC news reports are more positive than CNN, and in terms of subjective, BBC News is more factual than CNN.
PROBLEM SOLVING: COMPETENCE FOR THE ENHANCEMENT OF TALENTS. A RESEARCH WITH FUTURE PRIMARY SCHOOL AND KINDERGARTEN SUPPORT TEACHERS

Education to achieve individual talent must become a priority in the educational process in order to contribute to the construction of a sustainable society. Training teachers to promote talent in students means guaranteeing each person the educational success and the achievement of their maximum potential.If problem solving becomes a tool for the enhancement of talent in the classroom, training in this competence becomes essential. In the educational field, talent and excellence are based on a unique attitude or an accentuated interest that a person possesses.The topic of the ability to solve educational problems by those who are going to carry out the profession of teacher implies the acquisition of strategies to respond adequately to the complexity of the problems that connote educational situations.This study aims to illustrate the results of a research process, implemented with 524 students attending the Specialization Course for the support activities of the University of Palermo in the A.A. 2018-2019. Through the research path it was intended to strengthen in the students the competence in solving the problem as a tool to promote the enhancement of talents in school and the processes of didactic customization.We intended to promote in future support teachers the ability to identify and to address problematic school situations in an appropriate manner. Research is an example of how courses can develop the set of skills that flow into the ability to identify and solve complex educational situations. The results showed the significance of the experimental intervention, which was detected through a significant increase in skills in the areas under investigation.
Центърът за книгата на НБУ – виртуално

In this article, the reader can get acquainted with the virtual work of the Book Center of New Bulgarian University during the pandemic. Here you'll find the best practices of the Library, the Publishing Center, the Bookstore and the Reading Club, which are part of the New Bulgarian University Book Center.
DESIGNING NATURAL IMAGE MARKERS FOR AUGMENTED REALITY TEXTBOOKS: A QUASI-EXPERIMENTAL STUDY

Tracking is an essential condition for Augmented Reality to happen. There are several tracking techniques, one of these techniques is tracking through cameras and markers. Due to its simplicity and its economic advantages, this tracking technology is widespread. For this study, we developed two different types of markers used in a textbook, a Fiducial marker, and a Natural image marker. Today fiducial markers are recognized as a symbol that means "in here there is a virtual object" but these markers are intrusive elements in the classroom and even more so in textbooks. They are almost secret images, that only can be read if they work together with a computer or smartphone and that by themselves have no meaning. With the Natural image marker, on the other hand, there is no signaling indicating the virtual object. The use of this marker allows the construction of more than one layer of information, the book printed infographics, and the virtual graphics. Its application requires, however, special care in combining the real with the virtual, which implies more development time and makes the project more expensive.In this study, we describe the comparative analysis of using, in a textbook, a Fiducial marker versus a Natural image marker. This research involved a quasi-experimental study with 30 students in an elementary school. The results show that the Natural image marker can have a positive impact on the perception of understanding, innovation, adequacy, expectation, and understanding of the students. The results also indicate no significant differences between Natural image markers or fiducial markers on satisfaction and emotional induction.
ITALIAN LYRICAL TEXTS IN FOREIGN LANGUAGE: FACE-TO-FACE AND REMOTE CLASSES

The Italian language is the fourth most studied foreign language, one of many aspects that makes Italian known worldwide is the music. There are two different types of music typically used in language classes; popular music (songs) and opera (arias, recitatives or others). Due to the specifics of operatic language, popular songs distinctively predominate all traditional and multimedia study materials while the use of opera is mostly limited to special courses, music schools and conservatories. This paper presents examples of work with concrete lyrical texts included in standard language classes and in special lessons for future opera singers. It compares the use of available tools in face-to-face and remote classes, including activities of pedagogical translation and the use of translation tools. The comparison is based on research conducted during Italian classes held at the University of West Bohemia, in the association Associazione Amici dell´Italia and at the Conservatory of Pilsen in the Czech Republic and it takes into consideration study materials of four main publishers for Italian as a foreign language (Edizioni Edilingua, Alma edizioni, Bonacci editore, Guerra edizioni) and several online resources and applications. The aim of the research was to discover whether popular music is more suitable for remote lessons than opera or vice versa. In accordance with the hypothesis, concrete activities were analysed to discover which of them can be smoothly implemented in remote classes.
The Challenge: Non-propositionalism

Recent literature has presented a serious challenge for propositional accounts of content. It has been argued that certain bits of natural language discourse, in particular, modal claims, pose a fundamental challenge for propositional accounts, as they fail to express propositional content even relative to a context. The puzzling linguistic behavior of modal discourse suggests that context simply cannot determine propositional content for such claims. This appears to call for a re-thinking of the interaction between context and content, and their role in communication. Indeed, various non-propositionalist accounts that have been proposed to capture this puzzling behavior call for such re-thinking. Such accounts have received various implementations, for instance, in various expressivist and dynamic update semantics. These accounts deny that modals express ordinary propositional content, and they also deliver a non-classical logic. This chapter introduces the challenge, and the main features of non-propositional accounts that have been proposed as a solution.
Blockchain for Governance of Sustainability Transparency in the Global Energy Value Chain: Part 2, Reconciling the Technology/Regulation Mismatch

In this second part of a two-part article we continue our consideration of how global energy value chains could be managed more sustainably through blockchain by greatly increasing transparency. The aim is to use this transparency to incentivise more sustainable behaviour on the part both of energy producers and suppliers and of consumers. Incentives of this kind are market based, and so we have concentrated on market-based instruments in the energy sector, emphasising those that decrease the CO 2 footprint of energy consumption, such as emissions trading schemes and renewable energy certificates. Blockchain can enhance transparency by improving the quality of, and access to, sustainability-related information. However, existing laws and regulatory frameworks that govern market-based instruments may prevent these benefits from becoming fully realised. We review the governance frameworks of market-based instruments in several international jurisdictions (Brazil, India, Kazakhstan, Mexico, South Africa and Ukraine, as well as the European Union with particular reference to the Netherlands and United Kingdom (which was a member of the EU at the time of this writing), to ascertain how laws, rules and regulations may limit transparency of sustainability information. We also consider jurisdictional differences to identify difficulties in the creation of a global framework for managing sustainability information from market-based instruments. Jurisdictional differences mean that a one-size fits all solution may not be possible. To overcome this, we propose a blockchain governance model, using aggregated blockchains and peering agreements. It allows flexibility when disclosing information, through layering of permissions, and this means that it should be possible to construct a transparency system which complies with existing domestic legal and regulatory requirements, rather than requiring major legal and regulatory change.
Upaya Meningkatkan Hasil Belajar Siswa Melalui Strategi Pembelajaran Permainan Angka Tertempel di SD Inpres 3 Tolai

The purpose of this study was to improve student learning outcomes about mixed arithmetic in the Mathematics learning process using learning strategies through sticky numbers games. This study uses a classroom action research method which is carried out in 2 (two) cycles. Each cycle is carried out in 4 (four) stages, namely planning, acting, observing, and reflecting. The subjects of this study were Grade VI students of SD Inpres 3 Tolai in the 2020/2021 school year. Data collection techniques using tests, observation, and documentation. The data analysis technique used in this research was qualitative and quantitative descriptive analysis. Based on the results of this study, it is known that the increase in student activity, the pre-cycle average is 49.68. In the first cycle it increased to 67.31, and the second cycle increased to 83.97. While the increase in student learning outcomes that have met the completeness value, namely pre-cycle by 50%. In the first cycle it increased, namely to be 79.17% and increased again in the second cycle to 100%.
Machine Tools and Power Transmission System of a Shuttle-Making Workshop for Looms in the Nishijin Area of Kyoto City

The shuttle is one of the essential tools for weaving. There is a workshop that makes weaving shuttles for hand-weaving looms in the Nishijin area of Kyoto City. Many processes in the manufacturing of these shuttles are manual. However, machine tools are also used in some processes. In the workshop that manufactures the shuttles discussed in this theme, three old machine tools are operated using a historically significant power transmission system known as the Line Shaft Drive System. Such machine tools and power transmission systems are extremely rare as site examples for manufacturing shuttles. Focusing on this, the current status and features of shuttle manufacturing were described.
PERANCANGAN APLIKASI PERENCANAAN WISATA (TRAVELKEY) BERBASIS ANDROID PADA MODUL ITINERARY DENGAN MENGGUNAKAN METODE ITERATIVE AND INCREMENTAL

AbstrakPariwisata merupakan aktifitas yang dapat dilakukan oleh siapapun ketika sedang bosan sama aktifitas sehari-harinya. Aktifitas ini dapat memberikan keuntungan bagi setiap orang yang terlibat dalam lingkup aktifitas ini, entah itu untuk wisatawan sendiri maupun pihak penyedia layanan wisata. Saat ini masih jarang ditemui aplikasi yang dapat membantu wisatawan untuk melakukan perencanaan wisata.Berdasarkan permasalahan tersebut, maka dibuatlah aplikasi perencanaan wisata pada modul itinerary dengan metode iterative and incremental. Metode ini menerapkan model pengembangan aplikasi melalui iterasi dimana setiap iterasi memiliki beberapa tahap yaitu requirement, analysis, design, dan coding. Pada tahapan analysis dan perancangan aplikasi ini menggunakan konsep diagram UML. Aplikasi ini akan dikembangkan dengan menggunakan Bahasa pemrograman Java Android, dan diuji menggunakan konsep black box testing.Hasil yang diperoleh dari penelitian ini adalah sebuah aplikasi perencanaan modul itinerary berbasis aplikasi mobile untuk android. Berdasarkan hasil pengujian menggunakan konsep black box testing, dapat diketahui bahwa sistem secara keseluruhan dapat bekerja optimal sebagaimana diharapkan. Saran untuk penelitian ini adalah menambah beberapa fitur yang saat ini belum tersedia dan memperbagus user interface aplikasi.Kata kunci: perencanaan, wisata, aplikasi mobile, iterative and incremental.AbstractTourism is an activity that can be done by anyone when they are bored with their daily activities. This activity can provide benefits for everyone involved in the scope of this activity.whether it's for tourists themselves or tour service providers. Currently there are still rare applications that can help tourists to do tourism planning.Based on these problems, a travel planning application was made in the itinerary module using iterative and incremental methods, This method applies an application development model through iterations where each iteration has several stages, namely requirements, analysis, design, and coding. At the stage of analysis and planning this application uses the concept of UML diagram. This application will be developed using the Java Android programming language, and tested using the concept of black box testing.The results obtained from this study is an itinerary module planning application based on a mobile application for android. Based on the test results using the black box testing concept, it can be seen that the application as a whole can work optimally as expected. The suggestions for this research is to add some features that are currently not available and improve the user interface in the application. Keywords: planning, tourism, mobile application, iterative and incremental.
A design of tracking system with multiple tracking methods deployed on Hisilicon platform

The research of visual tracking is of great significance for intelligent video surveillance, unmanned vehicle, manmachine interaction, intelligent robot, unmanned aerial vehicle reconnaissance and other fields. It has been a hot spot in the field of computer vision and pattern recognition. It provides a fundamental component for high-level video understanding applications such as motion analysis, event detection and activity recognition. The target tracking system mounted on uav platform is of high application value. However, in the actual development process, it is difficult to develop due to the fact that the Hisilicon platform has a series of special hardware modules and only supports the deep model under the framework of Caffe. We deployed some discriminative correlation filter algorithms and deep learning tracker on Hi3559A, and made a comparison of their performance and speed.
Uncovering Reading Needs of Non-English Majors of Tribhuvan University

This study aimed at investigating into reading problems and needs of non-major English students of Tribhuvan University (TU), Nepal. Needs analysis (NA) plays an integral role in the process of designing and carrying out any language course, whether it is English for Specific Purposes (ESP) or general English course, and its centrality has been acknowledged by several scholars and authors. One hundred and two non-English majors and fifteen English teachers of Tribhuvan University participated in this study. Questionnaires served as the main tools for conducting an NA. The findings revealed that both the groups of participants perceived all seven sub-skills of reading as ‘important’. There is consistency between students’ perceptions of importance of subskills of reading and teachers’ perception of importance of the sub-skills. Regarding the perceived competence, teacher participants found their students’ abilities to be “not very good” or even “poor” in the subskills which they considered ‘important’ or ‘very important’. They rated their students at levels lower than the ones students did. The study also revealed that the students are poor at reading instruction booklets, company brochures and user manuals.