Reviewerly/exHarmony huggingface dataset:
Some considerations on moral rights in the USA and in the EU today

Abstract: Alcune considerazioni sui diritti morali negli Stati Uniti e nell’Unione europea oggi – The USA joined the 1886 Berne Convention for the Protection of Literary and Artistic Works only in 1989, with the Berne Convention Implementation Act (BCIA). Thirty years later, the Copyright Office published in April 2019 an extensive study about the American protection of moral rights. The document is studied in comparison with the European Directives and in particular with the Copyright Directive definitively approved a few days before the Copyright Office document. While in the USA the limited interest in moral rights seems to be increasing, in Europe the protection of moral rights risks being waned as it is handed down to individual countries with the explicit declaration that it is not the subject matter of the Directives.
Signal Processing for Distributed Kernel-based Estimation

With an increased utilization of large sensor networks in applications such as environmental monitoring, hazard detection and health care, the methodology of a data processing within the network has been identified as a promising concept. While common approaches rely on centralized processing, in-network processing exploits the interconnections among the nodes to obtain a cooperative result. By that, the network is equipped with estimation capabilities and an increased robustness against node failures within the network. Corresponding algorithms have been widely developed in the literature. However, the majority of these consider linear functions only whereas usually physical phenomena such as the spatial distribution of temperature, humidity, altitude or radioactivity are described by nonlinear functions. Hence, existing in-network processing algorithms will perform poorly when applied to the spatial reconstruction of such physical quantities. To suggest solutions to this issue this thesis aims at deriving algorithms that enable a distributed estimation and regression of nonlinear functions.Within this thesis two core algorithms are proposed that achieve the aforementioned objective by a combination of concepts from kernel methods, set theoretic adaptive filtering and in-network processing. Simulative analyses of the proposed schemes for synthetic data as well as real altitude data show their capability for a distributed reconstruction of nonlinear functions. To enable a comprehensive study of the presented material this thesis provides insights to recent advances in kernel-based estimation, kernel adaptive filtering algorithms and distributed consensus-based schemes.
What is the social media “black market”

A new lawsuit from Facebook is once again drawing attention to the issue of influencer fraud. The social media giant is suing a New Zealand company ...
Analysis of the Innovation of College English Listening Teaching Methods in the Internet+ Context

In college English teaching, cultivating students’ ability to listen is an important aspect. Only when students acquire English listening skills can they better improve their ability to speak, read, and write in English. Under the background of Internet+, college English listening has new teaching ideas and teaching methods, which have a breakthrough significance for the cultivation of students’ English listening ability. This article starts with the analysis of the current situation of college English listening teaching, focusing on the innovative methods of college English listening teaching under the Internet+ environment, hoping that college English listening teaching can adapt to the new development trend and bring a better learning experience for contemporary college students.
USING TABOO GAME TO IMPROVE GRADE VIII STUDENTS’ VCABULARY AT SMP NEGERI 1 SEMIN GUNUNGKIDUL

This study has the purpose to investigate the implementation of Taboo game to improve students’ vocabulary mastery. The method used in this research is classroom action research. The research was conducted in two cycles at SMP Negeri 1 Semin Gunungkidul started from 13 th February 2020 to 27 th February 2020.  The participants were 32 students of VIII A of SMP Negeri 1 Semin Gunungkidul. Each cycle consisted of four stages: planning, acting, observing, and reflecting. This research used several data instruments, i.e. observation checklists, tests, questionnaires, and interviews. The research findings showed that Taboo game can improve students’ vocabulary mastery. The mean score of the students in the pre-test increased significantly from 56.07 to 97.3 in the second post-test.
Betalningssystemets alarmerande tillstånd : En litteraturstudie kring det nuvarande monetära betalningssystemet i Sverige, och Bitcoin som ett alternativt betalningssystem

Purpose:      The purpose of this study is to investigate what risks the current monetary payment system used in Sweden is exposed to, as well as to which alternative solutions can be applied, and ...
Awe-Kikọ Ọrọ Yoruba Anjemi (Yoruba Anjemi grammar book)

The entire manuscript is available for download as a single PDF file. Higher-resolution images maybe available upon request. For technical assistance, please contact open-help@bu.edu. Fieldwork Team: Dr. Mustapha Hashim Kurfi (Principal Investigator), MalamUmar Hajji Mustapha (Local Project Manager) and Abdullahi Mohammed (General Field Facilitator).Technical Team: Prof. Fallou Ngom (Director African Studies Center), and Eleni Castro (Technical Lead, BU Libraries). This collection of Yoruba Anjemi materials are copied as part of the African Studies Center’s African Ajami Library. Access Condition and Copyright: These materials are subject to copyright. All rights reserved to the author. For use, distribution or reproduction contact Professor Fallou Ngom (fngom@bu.edu). Citation: Materials in this web edition should be cited as: Kurfi, Mustapha Hashim, Ngom, Fallou, and Castro, Eleni (2019). African Ajami Library: Digital Preservation of Yoruba Anjemi Materials of Southwestern Nigeria. Boston: Boston University Libraries: http://hdl.handle.net/2144/38122. For Inquiries: Please contact Professor Fallou Ngom (fngom@bu.edu).
Research Guides: Find Physical Items on the Library Shelves: Home

Explanation of call numbers and tips on how to find physical books and other items by locating the call number on the online record and how to then find it on the shelves.
CAFE: Catastrophic Data Leakage in Federated Learning

Private training data can be leaked through the gradient sharing mechanism deployed in machine learning systems, such as federated learning (FL). Increasing batch size is often viewed as a promising defense strategy against data leakage. In this paper, we revisit this defense premise and propose an advanced data leakage attack to efficiently recover batch data from the shared aggregated gradients. We name our proposed method as \textit{\underline{c}atastrophic d\underline{a}ta leakage in \underline{f}ederated l\underline{e}arning (CAFE)}. Comparing to existing data leakage attacks, CAFE demonstrates the ability to perform large-batch data leakage attack with high data recovery quality. Experimental results on vertical and horizontal FL settings have validated the effectiveness of CAFE in recovering private data from the shared aggregated gradients. Our results suggest that data participated in FL, especially the vertical case, have a high risk of being leaked from the training gradients. Our analysis implies unprecedented and practical data leakage risks in those learning settings.
Pengembangan E-LKPD Matematika Berbasis Penguatan Pendidikan Karakter (PPK) Kelas V SD

Abstract: E-LKPD is a learning tool use by educators to increase the involvement of student. The alm of this research is to produce matematic E-LKPD product with character education strengthening base (PPK) in five class of elementary school. This research is belong to Research and Development research and resort to Borg & Gall research model (collecting data, plan, development, individual experiment, revision, limited experiment, completing product, wide experiment, finishing product). The result show the criteria: (a) proper, with the average precentage by the material expert, and linguists expert are about 86%, 84%, and 93%; (b) practically, with the average questionnaire of theacer’s and student’s response are about 97% and 93%; (c) effectivelly, with the average value of 86 and the precentage of learning outcome completeness 100%. Bassed on the result can be concluded that E-LKPD with PPK can be apply in learning process because it proper, practically, and effectivelly.
AI in outsourced customer service

Robots will steal all our jobs. While this sentiment was mostly in the realm of sci-fi back in the 1980s, nowadays people have started taking it ...
SCE-SUMMARY at the FNS 2020 shared task

With the constantly growing amount of information, the need arises to automatically summarize this written information. One of the challenges in the summary is that it’s difficult to generalize. For example, summarizing a news article is very different from summarizing a financial earnings report. This paper reports an approach for summarizing financial texts, which are different from the documents from other domains at least in three parameters: length, structure, and format. Our approach considers these parameters, it is adapted to hierarchical structure of sections, document length, and special “language”. The approach builds an hierarchical summary, visualized as a tree with summaries under different discourse topics. The approach was evaluated using extrinsic and intrinsic automated evaluations, which are reported in this paper. As all participants of the Financial Narrative Summarisation (FNS 2020) shared task, we used FNS2020 dataset for evaluations.
Shape-aware generative adversarial networks for attribute transfer

Generative adversarial networks (GANs) have been successfully applied to transfer visual attributes in many domains, including that of human face images. This success is partly attributable to the facts that human faces have similar shapes and the positions of eyes, noses, and mouths are fixed among different people. Attribute transfer is more challenging when the source and target domain share different shapes. In this paper, we introduce a shape-aware GAN model that is able to preserve shape when transferring attributes, and propose its application to some real-world domains. Compared to other state-of-art GANs-based image-to-image translation models, the model we propose is able to generate more visually appealing results while maintaining the quality of results from transfer learning.
Žanr v tehnološkem remediiranju kulture

This paper relates the concepts of genre, technology and remediation. The substantial nature of technology as an extension and a cultural interface creates new cultural environments. In this process, it transforms the existing genres and generates new ones. The technological environment of the text can thus be understood as a particular level between the textual and the social context which can be materially analyzed. Traditional discourse analysis is mainly concerned with the analysis of ideological narratives in the content but neglects the analysis of the technological interface as an epistemological frame the user is unaware of because it is naturalized (default) in the given cultural context. An outline of today’s technological ecosystem is presented with an emphasis on vaporwave as an exemplary genre of new media culture and its relation to traditional (printed) cultural forms.
The Resource Efficiency Paradox : A Case Study of the Guerdane Irrigation Project in Morocco

How can we explain the paradoxical outcomes of resource efficiency? As a key pillar of worldwide sustainable development policies, the concept of resource efficiency has become increasingly importa ...
Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen’s Submission to WMT-2020

This paper describes our submission for the English-Tamil news translation task of WMT-2020. The various techniques and Neural Machine Translation (NMT) models used by our team are presented and discussed, including back-translation, fine-tuning and word dropout. Additionally, our experiments show that using a linguistically motivated subword segmentation technique (Ataman et al., 2017) does not consistently outperform the more widely used, non-linguistically motivated SentencePiece algorithm (Kudo and Richardson, 2018), despite the agglutinative nature of Tamil morphology.
When Public Participation is Public Theatre: Misuse of Public Comment Opportunities by Anti-Vaccine Activists

Public participation can benefit public policy decisions by improving decision quality through direct input, or by increasing the legitimacy of process and results. But participation can also impose costs or cause harm. The Federal Advisory Committee Act gives federal agencies the discretion to decide which form of public participation best balances the potential benefits and potential harms, and agencies should use that discretion to improve policy-making.In recent years, anti-vaccine activists have misused public participation opportunities, especially the oral comment process in front of the Advisory Committee on Immunization Practices at the CDC, using them to create videos repeating anti-vaccine talking points for supporters with an appearance of legitimacy provided by the forum. These comments do not advance any legitimate interest – they do not improve decision making, do not increase legitimacy, and can make committee members feel directly threatened. Under these circumstances, oral commenting is more harmful than beneficial – and since CDC has the discretion to limit oral comments, it should.
New ways of looking into handwritten miscellanies of the seventeenth century: the case of “Spes Altera”

A large number of copies of Shakespeare’s Sonnet 2 circulated in handwritten miscellanies from the second quarter of the Seventeenth Century. Eleven of those copies have significant variant readings that have led critics to put forward different hypotheses regarding their nature and quality. Most critics, taking into account stylometric analyses, have regarded them as early drafts of Shakespeare’s printed version, and have agreed on their poor quality.By paying due attention to the text’s context of production and reception, we have reached a different conclusion regarding both the nature and quality of the handwritten versions of Sonnet 2. In our view, they are the product of a conscious rewriting on the part of some educated member of the universities or Inns of Court. Close reading of the manuscript copy text (Spes Altera, Bellasys Ms, c.1630), and a line by line comparison with the 1609 Q text, suggest a deliberate attempt on the part of its adapter at increasing the poem’s metrical regularity and structural coherence.
Method of single exposure phase contrast imaging without analyser grating

X-ray differential phase contrast imaging technology can reveal the weakly absorbing fine structure which cannot be observed by the conventional X-ray absorption contrast imaging. Hence, it has potential applications in many fields such as medical science, and material science. But in the traditional X-ray grating differential phase contrast imaging system, the analyser grating is used as a spatial filter, and needs to be phase stepped, then multiple exposures are required for information extraction. Thus this leads to high-dose radiation exposure and low efficiency of X-ray utilization. All these disadvantages limit its application in various disciplines. In order to cope with the above issues, a new algorithm based on single-shot grating differential phase contrast imaging system without analyzer grating is proposed. In such a system the absorption, refraction and scattering information can be obtained from one projective image of the sample acquired by a high-resolution detector. The reliability of this new algorithm is confirmed by numerical simulation. Compared with the phase stepping algorithm, the proposed algorithm can provide very accurate and reliable information extraction results without requiring the grating period to match with detector pixel size. It facilitates the reduction of the radiation damage to sample. We emphasize that this method is highly compatible with the future X-ray phase contrast imaging clinical applications.
Keynote Talk 1: AI and Psychology

Recent development of AI technology may make it possible to construct a robot which behaves as if it has mind from the view point of humans. This research will be interested in both basic science in which we consider what is mind and how the mind works an d AI technology in which we will develop robot easier to be used. From this view point, RIKEN started a new project called temporarily. Psychology based AI Robotics. In this talk, I will give you a rough sketch of how phycology will be used in AI and Robotics.
Practical Locally Private Federated Learning with Communication Efficiency

Federated learning (FL) is a technique that trains machine learning models from decentralized data sources. We study FL under local differential privacy constraints, which provides strong protection against sensitive data disclosures via obfuscating the data before leaving the client. We identify two major concerns in designing practical privacy-preserving FL algorithms: communication efficiency and high-dimensional compatibility. We then develop a gradient-based learning algorithm called \emph{sqSGD} (selective quantized stochastic gradient descent) that addresses both concerns. The proposed algorithm is based on a novel privacy-preserving quantization scheme that uses a constant number of bits per dimension per client. Then we improve the base algorithm in two ways: first, we apply a gradient subsampling strategy that offers simultaneously better training performance and smaller communication costs under a fixed privacy budget. Secondly, we utilize randomized rotation as a preprocessing step to reduce quantization error. We also initialize a discussion about the role of quantization and perturbation in FL algorithm design with privacy and communication constraints. Finally, the practicality of the proposed framework is demonstrated on benchmark datasets. Experiment results show that sqSGD successfully learns large models like LeNet and ResNet with local privacy constraints. In addition, with fixed privacy and communication level, the performance of sqSGD significantly dominates that of baseline algorithms.
Peningkatan Kemampuan Kognitif Anak Usia 5-6 Tahun Melalui Media Pembelajaran

Anche Stephanie Amber Sari /A520160054.Increasing Cognitive Ability of Children Aged 5-6 Years Through Learning Media. Research Paper. Faculty of Teacher Training and Education, Muhammadiyah University of Surakarta. September, 2020.Literature Riview : Increasing Cognitive Ability of Children Aged 5-6 Years Through Learning Media. Cognitive ability is a skill that children have this thing closely related to thinking, reasoning Kreatif, and solve the problem is simple. Children's cognitive abilities need to be stimulated from an early age. Children's cognitive achievement can help children to think critically and solve problems. Methods reference form of primary articles consisting of 20 journals. 15 national journals with a vulnerable time in the last 5 years and 5 international journals with a vulnerability in the last 7 years. Results and Discussion: literature review states that me he was learning can affect the increase in cognitive abilities of children aged 5-6 years including puzzles, flashcards, tube media, visual-auditory & kinesthetic, paired cards, lotto, number balls, dice, number cards. Games can also affect children's cognitive improvement, including crank, ludo, fishing for numbers, playing water, clapping. The factors that could affect cognitive ability is factor offspring or heredity, factor environmental, factor maturity, factor formation, factor talent, and interest. Conclusion media, the games represent problems that do not dominate, but some factors can influence that factors that can affect the cognitive abilities factor offspring or heredity, factor environmental, factor maturity, factor formation, factor talent, and interest.
UAL Research Online Ten Years

The Internet has fundamentally changed the practical and economic realities of distributing academic research. Scholarly knowledge can be digitally archived, and disseminated worldwide, at virtually no cost beyond that of providing it to the first reader. It’s easy to create many copies, easy to share instantly, easy to find publications and practice research, and easy to make many copies available. The historic barriers restricting access to research, scholarship and knowledge are falling. We now have much greater opportunities for reach and impact.UAL is part of the global Open Access movement, committed to removing access barriers to published scholarly research, making knowledge widely and readily available to anybody with an internet connection. UAL provides Open Access to the research produced by staff and PhD students through UAL Research Online. UAL Research Online is an open library of research. Its purpose is to showcase our work to the world, and to open global access to what we do here. Content in UAL Research Online is downloaded by interested users and scholars all over the world; by people who would not otherwise have known of or have access to our research.UAL Research Online was the first scholarly research repository designed specifically for research in arts, design and media. It was built in 2008 and 2009, and was opened to the world ten years ago. We built a light, open source repository designed to hold, share, and care for research with a strong visual component. We provide free, long term, managed storage for research, with clear terms for IP protection and reuse, according to internationally accepted standards. We’re globally accessible regardless of level of technology or connectivity, we are interoperable with other academic systems, and we conform to accepted academic citation style. In its tenth year, UALRO continues to be globally recognised as the most prominent open access collection of original research outputs in arts, design and media. No other online library of this type offers free open access to as large a collection of research within the creative arts. UAL Research Online now contains records of more than ten thousand research outputs. And we make available nearly a hundred thousand individual files, which document, support, and describe these outputs. We’re celebrating our ten year anniversary in 2020, and looking forward to continuing our role in providing free open access to the research we do at UAL.
Library guides / Biblioteekgidse: Makerspace: Home

Provide a collaborative technologically focused environment for SU students and staff to invent, create and learn while sharing.
Pengembangan Multimedia E-Learning Materi Ekologi Siswa Sekolah Dasar

Abstract:This research was motivated by the need for learning media in the form of E-Learning Multimedia Ecology for Elementary School Students. The purpose of this research is to develop learning media, especially on ecology material for fifth grade elementary school students and see the feasibility of the media being developed. This study uses the ADDIE model with data using a validation sheet. The data analysis technique used quantitative data analysis. E-Learning Elementary School Student Ecology E-Learning material produced is declared feasible or valid with an average score of 89% which indicates the category is good and suitable for use. So that the Ecology Multimedia Learning Materials of Elementary School Students are Worth Using.