Reviewerly/exHarmony huggingface dataset:
Content-Oblivious Trust and Safety Techniques: Results from a Survey of Online Service Providers

Modern-day online services are plagued by various kinds of harmful content, from hate speech to terrorist propaganda to depictions of the sexual abuse of children, to name just a few. In pressuring online service providers to better police harmful content on their services, regulators tend to focus on trust and safety techniques, such as automated systems for scanning or filtering content on a service, that depend on the provider’s capability to access the contents of users’ files and communications at will. We call these techniques content-dependent. The focus on content analysis overlooks the prevalence and utility of what this article calls content-oblivious techniques: ones that do not rely on guaranteed at-will access to content, such as metadata-based tools and users’ reports flagging abuse which the provider did not (or could not) detect on its own. This article presents the results of a survey about the trust and safety techniques employed by a group of online service providers, most of them communications services or services driven primarily by user-generated content. Our data include information from Facebook, Wikimedia, a global software company, and more, that collectively serve billions of users. The survey finds that abuse-reporting features are used by more providers than other techniques such as metadata-based abuse detection or automated systems for scanning content, but that the providers’ abuse-reporting tools do not consistently cover the various types of abuse that users may encounter on their services, a gap we recommend they rectify. Finally, despite strong consensus among participating providers that automated content scanning is the most useful means of detecting child sex abuse imagery, they do not consider it to be nearly so useful for other kinds of abuse. These results indicate that content-dependent techniques are not a silver bullet against abuse. They also indicate that the marginal impact on providers’ anti-abuse efforts of end-to-end encryption, which, controversially, stymies providers’ ability to access user content at will, can be expected to vary by abuse type. These findings have implications for policy debates over the regulation of online service providers’ anti-abuse obligations and their use of end-to-end encryption.
Dynamic Gesture Recognition System to Control Media

Gesture control technology is developing quickly and changing many aspects of daily life. Gesture control devices evolved from expensive primitive input devices to affordable devices capable of fine detail recognition. These devices are now used in a much wider range, from research experiments and prototypes to day-to-day commercial products. In this paper, a hand swiping algorithm to control media on personal computers is presented. The algorithm aims to be accurate, without the burden of high computational complexity. The paper begins with an introduction to gesture control and surveys existing work in the field. The main algorithm which tracks the users hand to control the volume is explained in detail in the methodology section. A Raspberry Pi board along with a Logitech HD webcam will be used to test the algorithm. The results are discussed in the experiment section, followed by the constraints and conclusion.
Quantity Surveying Estimation and Rate analysis of mall using Autocad and MS excel

With the plan of G+2 shopping mall, Planning, Estimation and Scheduling has become a major concept to considered for smooth execution of construction works. A project turns out to be a liability after a said amount of work is done the main reason being lack of capital. The best way to manage this process is by estimating the quantities in advance as this will help in finding quantity of materials and labors required for the specified job and also help in overall cost generation of the project. Estimation is helpful in devising the amount of capital required for execution of a specific construction work which would assist the contractors/builders to better manage their finances and avoid bankruptcy. AutoCAD is the software for drafting a detailed G+2 Shopping mall plan including plan, section elevation, foundation plan, bar bending detailed plan, etc. All the important estimations like, Excavation, concrete, reinforcement, etc. are performed along with consequential steps in MS excel software.
Analisis Sistem Pendukung Keputusan Menentukan Produk Terlaris dengan Metode Simple Additive Weighting

This study aims to recommend the best-selling Milk in CV. Sempurna based on criteria determined by using the technique of decision support system. Mechanical multi-criteria decision-making is based on the theory that each alternative consists of a number of criteria that have values and each criterion has weights illustrates how important these criteria with the other criteria. The final results obtained from this decision support system will provide an alternative, to recommend the best-selling Milk Product Selection in CV. Sempurna. The Best Milk Product Name SAW was Carnation Coffee-Mate Id 48x495g obtaining ranked first, next Bear Brand RTD Tin 30x189 Ml and Nestle Miss Plain Sbc Can 48x370 Gr rated two and three.
Implementasi Link State Routing Dengan Algoritma Dijkstra Pada Jaringan GM Purinet Kosambi Menggunakan Metode NDLC

The growth of Startup companies is soaring in this era of digital economy, not a few also useLAN within the scope of their company to conduct data transactions between divisions in thecompany. This study aims to analyze the performance of the Link State routing protocol withDijkstra's Algorithm using qualitative method and the Network Development Life Cycle (NDLC)methodology. Qualitative method aims to test the quality of a system to assess its performance.The research object that will be selected is GM Purinet Kosambi for the reason it has all therequirement needed for this research to continue. Because the performance of Link StateRouting is not yet known by many people if it is implemented and used as a superior routingprotocol in a Startup business that uses a Computer Network in it, the author is interested inresearching it. The results of this study indicate that the performance of Link State Routing isvery good according to the parameter of Quality of Service (QOS) and can prevent and solveexisting problems as well as preventable problems such as network disconnections anddetection of disturbances that commonly occur in computer networks.
THE ROLE OF EDUCATION IN NEEDS ASSESSMENT FOR SELF-ACTUALIZATION AND SELF-TRANSCENDENCE IN JUVENILE DELINQUENTS

The main objective of the present study focused on the role of education in achieving the level of self-actualization and self-transcendence among inmates. The inmates were in the sensitive age of their life. They should be exposed to academic education rather than violence and the appropriate place for them is the school and not the prison. The present research was a quantitative study. The universe of the present study was the Industrial Schools, YOIS (Youthful Offenders Industrial School) in Karachi. Purposive sampling method has been applied because this form of sampling generally considers the respondents with common characteristics, untypical and deviant behavior that tries to figure out where such individuals can be found and then allows the researcher might decide to go to certain street or to a particular bar to study them. The respondents were 120 inmates, the entire population which was interviewed purposively. The data was collected through structured questionnaire and analyzed through SPSS. The major findings showed the impact of education is helpful to improve the present status and act as a predictor in satisfying the needs assessment for self-actualization and self-transcendence to make these delinquents useful and potential being when they leave the industrial school.
STRATEGI KOMUNIKASI ANTAR PRIBADI ANTARA GURU DAN SISWA DALAM MEMOTIVASI MINAT SISWA BELAJAR BAHASA INGGRIS

English is one of the most influential lessons in the present and future, because English is one of the most commonly used international languages ​​at this time. This study aims to find out how interpersonal communication strategies between teachers and students in motivating students' interest in learning English. This research uses a qualitative descriptive approach with data collection methods in the form of interview and documentation techniques. The context of interpersonal communication that the teacher has applied in motivating students' interest in learning English is the psychological, relational, situational, environmental and cultural context
Efektivitas Pembelajaran Bahasa Indonesia Dengan Google Classroom Terhadap Minat Baca Saat Pandemi Covid-19

A pandemic period is a period of human transition the spread of diseases that can claim human lives. This is very influential on the nature, interaction, social, economy and affects the restriction of activities between humans in carrying out their mobility. It's spread able to influence activities in the world of education. Education as a medium for delivering knowledge with many can be students is indicated a place spread of covid-19 in the school environment. This problem greatly changed way teachers work in delivering learning to students, which used to be face-to-face, now online. The impact of pandemic on student learning at SD Negeri 4 Dauhwaru such as: students 'reading interest has decreased, students' desire to learn is reduced, tasks or homework are mostly done by their parents. These behaviors continuously ask for help with their duties. The method used in study use librarian research for theoretical studies, references and scientific literature related culture, values ​​and norms develop in social situation under study. The solution that can provided by the government tackling education in the midst of pandemic use online learning such as google classroom. This feature helps teachers in delivering material online without reducing the face-to-face feeling from teacher to student in Indonesian language learning. Learning Indonesian will be more optimally delivered face-to-face and more optimally for students catch.  The use google classroom a medium for delivering material, assignments and quizzes for students is expected to be able provide better reading interest and enthusiasm for students during a pandemic.
Pemetaan Informasi Sebaran Bidang Ilmu Pada Skripsi Fakultas Kedokteran Hewan Lulusan IPB University Tahun 2015-2019 Berdasarkan Standar Universal Decimal Classification:

Introduction. Animal health and animal product safety currently becomes an important issue. The role of veterinarians in ensuring human health through animal health that can be transmitted to humans is needed. One of the faculties related to this issue at the Bogor Agricultural University is the Faculty of Veterinary Medicine (FKH), which has produced many basic, applied and strategic researches that support sustainable national development. There is no study that maps the results of research, so that the research repetition and unevenness of the studied areas have the potential to occur. It is necessary to map the student essay refers to the Universal Decimal Classification (UDC) standard.Methods and Data Collection. Data samples taken from IPB repository database for the last 5 (five) years, specifically 2015-2019 as many as 973 research titles.Data analysis. The scope of the study includes grouping data based on the field of science according to the Universal Decimal Classification (UDC) standard, Keyword analysis using VosViewer program visualization, department distribution analysis, the last is calculation of lecturer productivity in guiding student theses.Results and Discussion. The results of the study are number of the Faculty of Veterinary Medicine’ study in the period 2015-2019 was 973 titles. The most researched sub-fields of science related to General Zoology totaled to 591 (60.74%) research, while the least is related to Industrial microbiology as much as 3 (0.31%) research. VosViewer’s keyword relatedness visualization with at least 3 appearances showing 411 keyword items, divided into 15 clusters. The most often used keyword is Medicinal plants as much as 96 times with 297 relationships, but the least occurrences are aedes aegypti and culex as much as 3 times with 2 relationships. The highest productivity of supervisors for the 2015-2019 period was achieved by Aryani Sismin Satyaningtijas with a total of 55 mentors, consisting of 36 times as main supervisors and 19 times as mentors members.
MENGAJAR BAHASA INGGRIS BAGI YOUNG LEARNERS DENGAN FUN ACTIVITIES

The need for variation in teaching English to PAUD students at Pesantren An Ni'mah Asahan is the background of this dedication, because so far teachers are still teaching English with a limited learning model. The teacher only lectures and explains which in the end their teaching looks monotonous. Therefore, teachers must have various learning models that are useful for increasing vocabulary in English. It was concluded that teaching for young learners using fun activities, teaching English can attract students' attention so as to increase student motivation and interest in learning English. Not only students but also teachers who received this training became more confident in teaching and of course more motivated. The stages of activity are starting from the preparation stage and the implementation stage. By implementing fun activities, teachers are given the opportunity to practice directly teaching English in front of the class. Keywords : English, Young Learners, Fun Activities
Make Python Learning Vivid and Efficient Through a Variety of Methods

Python is one of the easy-to-learn languages and is easy to code and read, with high expressiveness. This article focuses on introducing basic content of learning Python, and discusses the ways to learn it efficiently with related cases, for the reference of learners.
Implementasi Modified Enhanced Confix Stripping Stemmer pada Klasifikasi Fake News Covid-19

Today's advances in technology and information make communication easier, so that the flow of information can quickly spread. The ease also allows anyone to upload anything on online platforms such as blogs, comments to news articles, social media, etc. that could lead to ambiguity of information or even lead to misleading information. Fake news is information that contains things that are uncertain or not a fact that actually happened. One of the popular news topics nowadays is about the covid-19 virus. This research evaluates the performance of Multinomial Naive Bayes and Bernoulli Naive Bayes in conducting fake news classifications related to covid-19. Beside that, we used Modified Enhanced Confix Stripping Stemmer in performing indonesian word standardization that has a variety of shapes and structures. The evaluation showed that Bernoulli Naive Bayes model had the best performance than Multinomial Naive Bayes, with the accuracy value of 91%, precision 0.93, recall 0.92, and f-1 score 0.92. In addition, the performance of Modified Enhanced Confix Stripping Stemmer (Modified ECS) algorithm is also perform very well in standardizing words (stemming) Indonesian language.
AN EXPLORATORY STUDY TOWARDS APPLYING AND DEMYSTIFYING DEEP LEARNING CLASSIFICATION ON BEHAVIORAL BIG DATA

The superior performance of deep learning (DL) in natural language processing and machine vision and has ignited renewed interest in applying these technologies more broadly in research and practice. This study looks at how deep learning approaches can be used in the classification of large volumes of sparse behavioral data, which in the age of big data is becoming increasingly common. The excellent performance of deep learning algorithms in tasks such as classification and natural language processing has attracted the interest of both academics and professionals of these algorithms [1]. Since then, many researchers have tried, in the expectation of achieving comparable superior outcomes, to extend these algorithms to other machine learning situations with various data types. The above-mentioned study is based on inspiration and correlates the predictive performance of deep learning classification techniques with several behavioral examples. In addition to the usage of new data categories and a thorough comparison of its outputs with widespread classifications, this study seeks to highlight where and why the approaches to deep learning perform best. It demonstrates that an uncontrolled pre-training process does not improve classification efficiency and that tanh nonlinearity delivers the best predictive results by utilizing profound knowledge about this specific data sort. Deep learning achieves results that are equal or equivalent to traditional low classifiers as it is applied to massive behavioral data sets [1]. However, the findings have not changed much. Looking at how well deep learning performs; it finds that data sets with low signal-to-noise separation had the worse effects. We examine the significance of the clustered, hierarchical characteristic of the learning process to learn why deep learning usually works well on this kind of data. In contrast to superficial classifiers, neurons in the distributed model are more complex in certain behavioral functions [1]. Deep learning classification is also referred to as a black-box technique, and this article addresses how to determine whether and when these strategies perform well. Keywords: Deep learning, Behavioral big data, Neural Convolutional Networks, Feed-Forward Neural Networks
Corona-warn-app: tracing the start of the official COVID-19 exposure notification app for germany

On June 16, 2020, Germany launched an open-source smartphone contact tracing app (Corona-Warn-App) to help tracing SARS-CoV-2 (coronavirus) infection chains. It uses a decentralized, privacy-preserving design based on the Exposure Notification APIs in which a centralized server is only used to distribute a list of keys of SARS-CoV-2 infected users that is fetched by the app once per day. Its success, however, depends on its adoption. In this poster, we characterize the early adoption of the app using Netflow traces captured directly at its hosting infrastructure. We show that the app generated traffic from allover Germany---already on the first day. We further observe that local COVID-19 outbreaks do not result in noticeable traffic increases.
Blockchain Transforming Procure to Pay Value Chain

Blockchain Technology can be highly relevant in the Procure to Pay (P2P) value chain helping the Organizations to bring Transparency in transactions, Better Working Capital Management, Improved Compliance to Environmental and Safety standards, Improved Supply chain Process and overall end to end Visibility &amp; Traceability in the ecosystem.
Pedagogical Support is a Necessary Condition for Creation and Development of a System of Lifelong Rural Education Providing the Training of High-quality Agricultural Specialists

Currently, there are two main options for training agricultural specialists in the Russian Federation. The first option is studying in a college (technical school) or mastering university programs through bachelor's, specialist and master's programs. The second way is to form a stepwise organisation of continuous agricultural education: a specialised general education school, a college (technical school), a university, and an institution of additional professional education. Insufficient attention to the change and development of new social statuses by students makes it difficult to fully disclose the educational potential of the system of continuous agricultural education. Thus, it is necessary to organize pedagogical support for students' adaptation to current changing academic situations. It is also essential to consider lifelong agricultural education not only as advanced training in the workplace, but also as a transition from specialized training in a secondary general education school to secondary agricultural vocational education, and then to the development of programs of higher agricultural education and subsequent regular, professional development throughout the entire period professional activity.
Rchon statistics course, part 1

This is part 1 of the Rchon statistics course. It treats the basics of data manipulation in R, and teaches you how to make simple visualisations from a list of numerical data.The purpose of this tutorial is to provide a relatively gentle introduction to R for working with archaeological datasets.
Processing Time Optimization for XMSS on an Object Oriented SPHINCS+ Implementation

Computation paradigms are changing due to the idea of quantum computers. Although today this kind of technology is not available and has not reached its full potential, public-key cryptography is at risk since its security depends on problems that classical computers cannot solve in polynomial time, while quantum computers can. Quantum resistant cryptography has been developed for years and this work proposes a new implementation that reduces the processing time of XMSS signature generation of SPHINCS+, a stateless scheme designed for digital signature and is in process of standardization by the National Institute of Standards and Technology of the United States. The proposed implementation has a tradeoff between time and memory space. While original documentation is focused on space optimization, this new implementation needs additional 20 kB of memory for each tree during the signing process in order to generate a signature, but optimizes the time the internal process requires in the authentication path generation, from exponential to linear complexity. Digital signatures generated by both ways are the same.
Article 31—Entry into Force

Abstract This chapter includes the dates of the entry into force of the European copyright directive, Directive 2019/790. It points out that this Directive will be implemented on the twentieth day following the date of its publication in the Official Journal of the European Union. The Directive was published in the Official Journal of the European Union on 17 May 2020 and entered into force on 7 June 2019. The chapter also mentions that Directive 2019/790 took effect on 7 June 2019 and was published in the Official Journal of the European Union on 17 May 2020.
НАЦИОНАЛЬНАЯ БИБЛИОГРАФИЯ В ЦИФРОВУЮ ЭПОХУ: МЕЖДУНАРОДНАЯ РЕГЛАМЕНТАЦИЯ И ОТЕЧЕСТВЕННЫЙ ОПЫТ

The main directions of the development of the national bibliogra-phy in the modern world, the problems of the formation of the system of the national bibliography in Russia, issues related to the current national bibliogra-phy, retrospective national bibliography are presented. The activity of the IFLA Bibliography Section on the regulation of the activity of national bibliographic agencies and the creation of national bibliographic resources is covered. The article describes the activity of the National Bibliographic Agency in Russia (Russian Book Chamber), the National Library of Russia and their role in the creation of a national bibliography in the digital age.