Reviewerly/exHarmony huggingface dataset:
Blacklisting: A New Effective Digital Tool Against Counterfeit Sales Online (Legal Opinion)

In a technology-driven world, the models of conducting business by the rightsholders and online intermediaries (“Good Actors”) are changing frequently to adapt new demands of consumers and to improve the speed and quality of services, so too are the behaviour patterns of the counterfeiters and pirates (“Bad Actors”), who adjust instantly to cutting-edge technologies for committing their illegal actions. This has encouraged Good Actors to look for new more effective means for tracking and tracing Bad Actors and curbing online infringements.This Legal Opinion focuses on introduction of a “blacklisting” digital tool as a newly developed solution for fighting against increasing sales of counterfeits in the digital environment, as well as for preventing Bad Actors from other violations of intellectual property rights, such as copyright infringement and intentional misappropriation of intellectual property. This solution is based on a comprehensive study and analysis of the global picture and statistics of counterfeit sales, with a primary focus on the online market, along with the current approaches, methods and instruments used to restrain the growing numbers of pirated and counterfeit goods. Moreover, the paper proposes a “blacklisting” classification, which may serve as “a traffic light system” to tackle the online infringements, and describes its step-by-step implementation process.
Annotations, multilingual texts, and full-text search

In this chapter, we will see how to handle annotations in Python with Owlready. We will also see how to handle multilingual texts, often used in annotations, and how to optimize full-text searches.
Translation Competence In A Multilingual Class: Approaches Applied And Problems To Be Solved

Translation competence in multilingual classes requires several teaching strategies and approaches to be taken into account. Students obtaining Master’s degree are mainly interested in developing their English for Academic and Scientific Purposes (EASP) as the students have to publish and share their research results with the global academic community. It is a regular practice to create multilingual groups in RUDN where Russian-speaking students are mingled with their peers from different world countries. The students can speak some languages including their mother-tongue which is not necessarily Russian. Generally, Russian and English are two languages serving the educational purposes at RUDN. Students from different countries (both Russian and non-natives) learn EASP and study in one group when they acquire their Master’s degree. Teaching and learning English in the multilingual and multicultural class start from comprehensive analysis of the students’ multilingualism. Theory and practice of translation from/to English/Russian is trained and could be applied in some cases to other pairs of languages. Translation competence builds to scientific text comprehension. A teacher should be aware of students’ multicultural background as well as of their English and Russian CEFR level to train translation competence in EASP. Academic and scientific varieties of European languages, including Russian, possess a lot of common characteristics which facilitate the teaching process. However, it is the teacher’s task to tailor the course to achieve educational goals. Translation competence bridges other disciplines due to the scientific and academic lexis operating in different scientific discourses, and is related to the scientific integrity.
Security engineering in the arts

Creative digital arts, comprising film, game and music, have mostly been able to ignore computer security threats. The relation of the arts and entertainments business to digital security has always been rocky. One of the reasons that media producers have much catching up to do in the area of cyber-security lies in the nature of business practices, including some very poorly motivated and misguided efforts over the past 40 years to place focus almost entirely on content protection. The pre-release attack is a form of blackmail with a non-typical execution. To understand the difference between pre-release, classic ransom ware, and plain theft, this chapter explores how these superficially similar attacks work with respect to different kinds of value. Security engineers without experience of the creative industry may find it harder to understand this threat model, and why certain works are more sensitive than they might appear. Apparent cyber-crime may really be cultural conflict.
STUDENTS’ PERCEPTION ON PUBLIC SPEAKING PROGRAM IN MA’HAD AL-JAMI’AH IAIN SALATIGA IN THE ACADEMIC YEAR 2019/2020

Warhamna, 2020. Students’ Perception on Public Speaking Program in Ma’had Al-Jami’ah IAIN Salatiga in The Academic Year 2019/2020. A Graduating Paper Submitted To The Board Of Examiners As A Partial Fulfillment Of The Requirements For The Bachelor Degree Of Sarjana Pendidikan (S.Pd). State Institute For Islamic Studies (IAIN) Salatiga.Counselor: Aprilian Ria Adisti, M.Pd. The purpose of this writer is to know Students’ Perception on Public Speaking Program in Ma’had Al-Jami’ah IAIN Salatiga in The Academic Year 2019/2020. This research generally answered two questions: (1) What is the students’ perception on public speaking program. (2) What are strategies used by students’ in public speaking program.The methodology of the research was qualitative research. The techniques of collecting data were observation, questionnaire, interview, and documentation. The interview consisted of 27 respondents Ma’had Al-Jami’ah IAIN Salatiga in the Academic Year 2019/2020.The results of the research show that there are negative and positive perceptions seen from the affective component that is taken from 27 respondents, 68% respondents feel happy to join public speaking program. Moreover most of the respondents have negative perceptions about the public speaking program in a conative component from 25% of 27 respondents feel that the public speaking program can not improve their English skills. Furthermore the strategies used by students are direct strategies include memory and cognitive strategies, and indirect strategies include metacognitive, affective and social strategies.Key Words: Students’ Perception; Public Speaking Program
When Bitcoin has the flu : on Bitcoin's performance to hedge equity risk in the early wake of the COVID-19 outbreak

© 2020 Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Economics Letters on 26 Jun 2020, available online: http://www.tandfonline.com/10.1080/13504851.2020.1784380.
Embedding indices and bloom filters in parquet filesfor fast Apache arrow retrievals

Apache Parquet is a column major table file format developed for the Hadoop ecosystem, with support for data compression. Hadoop SQL engines process queries like relational databases but read the parquet file to retrieve data. The caveat is that reading takes time and needs to be optimized. Irrelevant to a query I/O must be avoided for faster reads. The file is organized in rows segmented serially per column, which are segmented serially into DataPages. Two indices were proposed, namely, ColumnIndex (storing DataPage minimum and maximum values) and OffsetIndex (storing DataPage offsets), which support reading only the required DataPages in retrieving a row, skipping irrelevant DataPages. In this thesis, we investigate methods to accelerate row retrieval in parquet files within Apache Arrow, which is an in-memory big data analytics library that supports fast data processing applications on modern hardware. Towards this, we first implement the proposed ColumnIndex and OffsetIndex. We then propose and integrate the indices with Split Block Bloom Filters (SBBF). Our hypothesis is that a combination of the indices and SBBF should enhance the overall performance by avoiding unnecessary I/O in queries with predicate values not present in the parquet file. We validate our hypothesis through extensive experimentation. Our experiments show that using either indices or SBBF reduces average reading time by 20x. Their combination reduces the average reading time by an additional 10%. Adding indices does not significantly increase the parquet file size, but adding SBBF approximately increases the parquet file size by 2x. We contribute our code to Apache Arrow open source project along with a conceptual design for DataPage level SBBF for further read optimization.
Electric Wheelchair Controlled by Joystick and Android/iOS Smartphone

A wheelchair is used by people who are difficult to walk because of having physical problems, injuries, or disabilities. There are many options and different types of wheelchairs such as manual wheelchairs, electric wheelchairs, and scooters depending on the patient's financial ability, physical limits, and strength. Not all people with movement disabilities have enough strength especially elders. Moreover, there is no wheelchair controlled by smartphones currently available in the market and even custom-made electric wheelchairs are very expensive. Therefore, the main objective of this project is to provide a solution to this matter by modifying an existing manual wheelchair that would use smartphones (android/iOS) and joystick to control its movement. So, the rationale of this project is it can help patients with movement difficulty to move easily with significantly at a lower cost. Implementation of this project will be using System Development (SDLC) Life Cycle methodology that divide the complex task into several phases of development. This project will be divided into two parts, namely the implementation of hardware and software. The main hardware of this system consists of Arduino microcontrollers and motors that can be controlled using a smartphone via Bluetooth module and joystick. Ultrasonic sensors are located on the rear of this wheelchair to detect objects or obstacles and buzz the buzzer so that the person who uses it can be acknowledged when there are objects behind during reverse movement. The software part will consist of Arduino programming using Arduino Integrated Development Environment (IDE) software and mobile apps programming using Massachusetts Institute of Technology (MIT) App Inventor software. In the end, the implementation of this project can be used in universities, companies, hospitals, and at home as well to facilitate someone's movement without having to rely too much on help from others. In conclusion, this project is expected can help the disability and elder to move freely and control the electric wheelchair by themselves independently.
Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures

We present an approach to design the grid searches for hyper-parameter optimization for recurrent neural architectures. The basis for this approach is the use of mutual information to analyze long distance dependencies (LDDs) within a dataset. We also report a set of experiments that demonstrate how using this approach, we obtain state-of-the-art results for DilatedRNNs across a range of benchmark datasets.
IMPLEMENTATION OF THE COMSTOCK METHOD FOR ANDROID BASED PATIENT LEFTOVERS FOOD MANAGEMENT

Nowadays, nutritionists should count manually to know how much nutrition that patients get as the development of technology, human work easier likewise in counting the patient's food waste so it will be more efficient and not waste a lot of time. This research aims to build an application that can facilitate nutritionists in the calculating amount of food waste by using the Comstock method. The system is designed to use Unified Modeling Language (UML) and programming language Hypertext Preprocessor (PHP) and Hyper Markup Language (HTML). The result of this research is in the form of application which could be used by nutritionists at hospital calculate the amount of food waste of patients using the android-based Comstock method at the hospital using the Comstock method.
Non-Financial Information Disclosurepractices In The Mining Enterprises

The mining industry is of great importance for the economic development of our country and has a strongenvironmental impact. All the parties concerned, directly or indirectly affected by their activities would need to receive more useful, transparent and high-quality financial as well as non-financial information. The purpose of this report is to investigate the practices related to the publication of non-financial information of the enterprises with the 10 largest net sales revenues in the industry. The overall conclusion is that the investigated enterprises have practices to disclose non-financial information without being required by current legislation, but there are a number of gaps -the information is concise, descriptive, poorly structured, difficult to compare.
Machine Learning and Metaheuristics can Collaborate: Image Classification Case Study

Convolutional Neural Networks (CNNs) have provided several real-world solutions to computer vision problems. However, for any given task, their performance heavily depends on the choice of its architecture. In most cases, the structural hyperparameters are optimized manually by researches in a time-consuming trial and error approach. We propose that by using metaheuristics in collaboration with machine learning, we can achieve a good trade-off between computational complexity and learning performance. To this end, we evaluate the performance of a genetic algorithm to optimize the depth, the number of filters, and the kernel size of CNNs for two different tasks of image classification. We achieve a better compromise between computational cost and final accuracy than the state of the art proposals, proving the usefulness of the collaboration of genetic algorithms and convolutional neural networks for image classification tasks.
Chatbot : The future of customer feedback

This is a study about how to convert a survey to a chatbot and distribute it to various communication channels to collect feedback to improve themselves. What would be the most convenient way to ga ...
SPEAKING SKILLS IMPROVEMENT THROUGH TIME TOKEN ARENDS COOPERATIVE LEARNING MODEL IN CLASS IV STUDENTS IN SD INPRES 2 BANTAYA

The problem in this study is the low speaking skills of students in Indonesian subjects. the objective of this research is to improve the speaking skills of IV grade students at SD Inpres 2 Bantaya through the time token arends learning model. This research is a classroom action research conducted in grade IV SD Inpres 2 Bantaya. Research subjects involved 20 students enrolled in the 2019/2020 school year. This study uses a Kemmis and Mc Taggart research design consists of two cycles. In each cycle held one meeting. the results showed pre-action test results of students who scored above the maximum completeness criteria (KKM) more than  75 only 4 students (16%), in the first cycle as many as 10 students scored above KKM (40%), and in the second cycle as many as 23 students got values above KKM (92%).
LANGUAGE STYLE USED IN ENGLISH ADVERTISEMENTS ON FACEBOOK: STYLISTIC ANALYSIS

This research is about study of language style used in English advertisements on Facebook. The aims of this research are: (1) to explain the kinds of language style that are mostly used in English advertisements in Facebook. (2) to explain the way of language style convey the messages of English advertisements in Facebook to the customer. This research uses qualitative research as method. The technique of collecting the data, the writer uses download, documentation and note taking technique. The using of stylistics in this research has some kinds that used on advertisements and also used to get the meaning of advertisements it selves. So that, the kinds of style of stylistics can explain the result as well. The result of this research is alliteration is mostly used in advertisement because it appears five times. Advertiser uses language style as message to attract customer to embellish advertisement itself. Key Words:   language style, advertisement, stylistics, Facebook.
LSC-North Harris Library Research Guides: READ: Action & Adventure

Virtually browse the LSC-North Harris Library Leisure Reading collection to find something that peaks your interest.
2019 Electronic Resource Usage Statistics

This usage report contains the FY 2019 Electronic Resource Statistics, which report the amount of items downloaded from Columbus State University's electronic resources from July 2018 - June 2019.
On digital technologies: Dynamic relationships and societal questions

At the turn of the century, Digital Information and Communication Technologies (DICTs) emerged and subsequently came to occupy a growing, even exponential, place in our economic, social, and cultural world, profoundly transforming our relationships with others, environments, learning, and personal and collective identities. However, developmental psychologists in France have been slow to grasp these issues. This introduction proposes to identify some guidelines that reflect the gradual emergence of research questions. We have also attempted to situate these questions in relation to the societal context that gives rise to them and that they help to shape. The works presented in this special report are consistent with this approach.
Penerapan Kemampuan Literasi Guru Terhadap Peningkatan Minat Membaca Siswa Kelas VI Di SDN Putat Kidul 01 Gondanglegi - Malang

The application of teacher literacy skills can change the pattern of children's understanding in providing broad knowledge through the development of the current era. The purpose of the study was to describe the application of teacher literacy skills to increase students' interest in reading and describe the increase in reading interest through class VI literacy. The research method used in action research requires three steps through procedures in the form of cycle I and cycle II. Action research methods include planning, action & observation, and reflection. Data collection techniques used in action research through observation techniques, structured interviews and unstructured interviews, performance, and documentation. The results of the study in the first cycle 28.19% and 88.46% the second cycle results in an increase in the average cycle I and cycle II 60.25%. based on the results of the study had a very significant increase in habituation through the introduction of achievement trees and reading corner areas in the classroom
Detecting Spam Content in Arabic Tweets

The evolution of information has led to an increased intensity in its flow, especially in social communication networks. Twitter, for example, has become an incredibly popular platform for information sharing and opinion expression. Unfortunately, spammers have exploited this situation by promoting their messages and seeking malicious purposes. Various researchers have struggled to tackle this problem, proposing many techniques for the spam detection process. While these studies have made important contributions to the field, they remain limited in their linguistic scope. The current body of literature has focused on English texts with few resources available in the Arabic language. Accordingly, this study proposed an effective method for detecting spam content in Arabic tweets, using a supervised machine learning system. This work employed a set of language-specific features with other features in order to attain a high level of accuracy in the detection process. The proposed approach was evaluated using a real-life dataset and standard evaluation measures. In conclusion, our study shows that the spam content can be detected by using Naive Bayes classifier with accuracy 94%.
Relay Racing with X.509 Mayflies : An Analysis of Certificate Replacements and Validity Periods in HTTPS Certificate Logs

Certificates are the foundation of secure communication over the internet as of today. While certificates can be issued with long validity periods, there is always a risk of having them compromised ...
한국어 음운이웃 네트워크에 대한 어휘부 규모 효과 : 타 언어들과 비교를 위한 한국어 음운이웃 네트워크 분석

This paper analyzes the various sizes of Korean lexicons (39 lexicons ranging from 1,592 words to 101,804 words) in terms of phonological word-similarity in the framework of network theory. 101,804 words are selected to make these lexicons from Kang and Kim(2009). The phonological neighborhood network for each lexicon is constructed. Its giant component (GC), average shortest path length (ASPL), average clustering coefficient (ACC), and assortative mixing by degree (AMD) are measured. The results are compared with those of several languages in previous studies. It is shown that the Korean phonological neighborhood network exhibits some language-universal properties. It satisfies the requirements for being a small-world network. However, language-particular properties are also found in the Korean phonological neighborhood network. The GC size is relatively larger than those in the other languages. In the value-curves of GC size, ASPL, and AMD based on the lexicon size, Korean exhibits the rise and fall shapes, which are not observed in the other languages. (Chung-Ang University · The University of British Columbia)
Application of Artificial Intelligence Technology in University Teaching System

With the rapid development of information technology, we have come to the era of artificial intelligence. The advent of a new era has also brought new opportunities for the development of education in China. Under the current background of education and artificial intelligence, Hakka teachers are faced with important challenges. According to the relevant content, this paper studies how to use intelligent technology in college teaching activities.
Monitored Neural Networks for Autonomous Articulated Machines

Being able to safely control autonomous heavy machinery is of uttermost importance for the conversion of traditional machines to autonomous machines. With the continuous growth of autonomous vehicl ...
Product Matching Using Image Similarity

PriceRunner is an online shopping comparison company. To maintain up-todate prices, PriceRunner has to process large amounts of data every day. The processing of the data includes matching unknown ...
Android Based Sales Application of Hamster and Its Accessories Using the Prototype Method (Case Study of Lombok Rabbit Pet House)

The Lombok Rabbit Pet House is one of the animal shops that sell hamsters in Mataram, Lombok. Not only serving the community around Mataram, but this shop is also a supplier of hamsters in several animal markets in Mataram. Because of the relatively few animal shops that sell hamsters in Lombok, it is not uncommon for customers around the city of Mataram to become loyal customers of this shop. But unfortunately, the sales system at this store still uses a manual system. Include records of remaining merchandise and items sold. Based on the interview with the shop owner (Mr Ulul Azmi), he said that the store needs a sales system that can be accessed by all communities in Lombok to improve sales services and facilitate both sellers and customers in conducting transactions online. After getting the necessary information about the store, the author surveying 37 respondents about their knowledge of hamster disease. It was found that 70.3% of respondents claimed to have little knowledge about the types of hamster disease. At the same time, another 5.4% claimed not to have any knowledge about it. Furthermore, 91.9% of respondents chose to agree if there was an information system that could help the hamsters owner in getting information about various types of hamster disease. For those reasons, the author makes an Android Based Sales Application of Hamster and Its Accessories Using The Prototype Method. In its design, it used the Kotlin programming language, also the CodeIgniter framework as API access that calls queries on the database.