Reviewerly/exHarmony huggingface dataset:
Natural Language Processing with TensorFlow 2.0

This chapter focuses on some of the aspects of natural language processing (NLP), using TensorFlow 2.0. NLP is a complex field in itself, and there are multiple tools and techniques available in the open source community for users to leverage. This chapter is mainly divided into three parts. The first offers a brief introduction to NLP and the building blocks of text processing in TensorFlow 2.0. In the second part, we discuss word embeddings and how they can be used to detect the semantic meaning of words. In the final part, we will build a deep neural network, to predict the sentiment of a user review. We will also plot word embeddings, using the TensorFlow Projector, and view them in 3D space.
Integrating with SQL Server

The first five chapters of this book have focused on PolyBase V1: that version of PolyBase which was available in SQL Servers 2016 and 2017. As of SQL Server 2019, we are in the realm of PolyBase V2. With it, the purpose of PolyBase shifts from being a Hadoop integration system (with a salutary side effect of being able to connect to Azure Blob Storage) to the linchpin of a data virtualization system. We now have the capability to tie together diverse systems such as Oracle, MongoDB, Cosmos DB, Teradata, Apache Spark, and even other SQL Server instances. The best part is we can continue to use the T-SQL we know and (mostly) love.
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation

The big data trend has inspired feature-driven learning tasks, which cannot be handled by conventional machine learning models. Unstructured data produces very large binary matrices with millions of columns when converted to vector form. However, such data is often sparse, and hence can be manageable through the use of sparse random projections. This work studies efficient non-iterative and iterative methods suitable for such data, evaluating the results on two representative machine learning tasks with millions of samples and features. An efficient Jaccard kernel is introduced as an alternative to the sparse random projection. Findings indicate that non-iterative methods can find larger, more accurate models than iterative methods in different application scenarios.
Material Design: Alerts and Dialogs

Alerts and dialogs have been integral to UI applications. They show messages and information that need the user’s attention in UI pop-overs. Most of these UI paradigms are a layer on top of the original interface. Although it is needed for prompting and conveying significant content and messages, do not show multiple alerts or pop-overs at once. Overusing alerts and dialogs can lead to a bad user experience.
Biometric Risks Related to Identities

A few years back, biometric data from the US Office of Personnel Management (OPM) was stolen in a much publicized breach event. Unlike accounts, usernames, and credentials, this biometric data cannot be changed and is permanently linked back to an identity. For this reason, the safety of biometric data is an important consideration.
CONDITIONS FOR THE DEVELOPMENT OF STUDENT INNOVATIVE ACTIVITY IN RUSSIAN UNIVERSITIES: ARE STUDENTS READY TO DEVELOP, IMPLEMENT AND CREATE INNOVATIONS?

CONDITIONS FOR THE DEVELOPMENT OF STUDENT INNOVATIVE ACTIVITY IN RUSSIAN UNIVERSITIES: ARE STUDENTS READY TO DEVELOP, IMPLEMENT AND CREATE INNOVATIONS?
New Approaches in Selection and Evaluation of Electronic Resources

In the early years of 2000, academic libraries used to transfer nearly 16% of their purchase budget to electronic resources which have been begun to be used commonly from the middle of the 1990’s whereas today it is clear that they transfer more than 90% of their budget. The selection and evaluation process of electronic resources have become much more important either due to the increasing budget spared for electronic resources or because of the tighteningbudgets of the libraries. In the light of the facts mentioned above, within the scope of the study,the issues to be taken into consideration throughout subscription process of the electronic resources, which has begun to gain speed since the beginning of 2000’s in our country, are specified. Within this framework, as well as focusing particularly on access models for the electronic resources, issues to be paid attention such as scope, content, functionality, cost, publisher support, licensing and technical requirements are also addressed. Primaryrequirements and approaches regarding the evaluation process are specified, as well.
Layout CSS Helpers

In modern layouts, texts are not placed in an ad hoc way compared with the archaic ways used in old, legacy web sites. Containers are an awesome control for placing and grouping text, images, graphics, headings, buttons, and glyphicons in a single group.
SCALABLE OBJECT-ORIENTED SEQUENTIAL GENERATIVE MODELS

The most significant limitation of previous approaches to unsupervised learning for object-oriented representation is its scalability. Most of the previous models have been shown to work only on scenes with a few objects. In this paper, we propose SCALOR, a generative model for Scalable Sequential Object-Oriented Representation. With the spatially parallel attention and proposal-rejection mechanism, SCALOR is a scalable model that can deal with orders of magnitude more objects that previous models. Besides, we introduce the background model so that it can model the foreground objects and complex background together. In experiments on large-scale MNIST and DSprite datasets, we demonstrate that SCALOR can deal with scenes with near 100 objects as well as modeling complex natural background images. Importantly, using SCALOR, we demonstrate for the first time a result of modeling natural scenes with several tens of moving objects
Role of digital libraries in E-Learning

Role of digital libraries in E-Learning - IJLSIT- Print ISSN No: - 2582-1555 Online ISSN No:- 2456-9623 Article DOI No:- 10.18231/j.ijlsit.2019.017, IP Indian Journal of Library Science and Information Technology-IP Indian J Libr Sci Inf Technol
The Implementation Of Short Story In Teaching Vocabulary To The Seventh Grade Students Of SMP N 3 Satu Atap Jenawi

This research has purpose to describe the implemention of short story by the English teacher in teaching vocabulary for the seventh grade students at SMP N 3 SATU ATAP Jenawi, the problem appear, and the advantages and disadvantages of using short story to teach vocabulary. The data collection technique applied in this research were observation, interview, documentation and visual materials, and deciding the protocol of information record. The data analysis consists of several of activities, they are describing the implementation of short story, the activity of learners during the teaching and learning process, the material used in teaching vocabulary, problem faced in teaching vocabulary using short story, and the advantages and disadvantages of using short story in teaching vocabulary. Triangulation technique used in this research was by using triangulation method. The steps in teaching vocabulary by using short story are: 1) the students must pay attention on teacher explanation about descriptive short story. 2) the students must pay attention on teacher explanation about the topic of descriptive short story. 3) the teacher can ask questions to check students’ prior knowledge about descriptive short story (pre-reading activity). 4) giving the appropriate short story to the students and ask the students to read it individually (while reading activity). 5) while the students’ read the story they should give underline to the unfamiliar word or new vocabulary (while reading activity). 6) the students analyze the new vocabulary, if they found the difficulties they can ask to their teacher (post reading activity). 7) the students should review the story in front of the class (post reading activity). There are some advantages of using short story for teaching, it can raise cultural awareness, linguistic awareness, motivation, and etc. Meanwhile, short story also has disadvantage, such as requires too much time in implementing short story for teaching and learning.Keywords: teacher implementation, short story, teaching vocabulary
Automated Planning for Mobile Manipulators using passive RFID tags

Robots are widely used in factories to replace human in tedious or dangerous tasks. The manipulators are very effective in achieving specific and repetitive tasks. However, with the recent progress in robotics, robots need to perform more complex tasks such as part feeding and servicing requiring high level planning to find efficient plans. Mobile Manipulators are ideal for these applications because they have a large workspace. This paper proposes an approach based on a Layered Task Planning for mobile manipulators. It uses information from the passive RFID tags to generate near optimal plans. Passive RFID tags are used in order to achieve full automation. They are a cheap way to encode information on the instances of the environment. The approach is tested in a simulation environment to achieve the task of part feeding in an industrial environment.
PEMBELAJARAN MENULIS TEKS RESENSI NOVEL DENGAN METODE DEMONSTRASI PADA SISWA SMA KELAS XI

This study discusses the learning of writing a novel reviewer. The research this time the author wants to try to apply the demonstration method to learning novel writing reviews which are expected to usually improve students' ability in writing novel reviews. The formulation of the problem in this research is whether there is a difference in the ability to write novel review texts at the pretest and posttest stages using the demonstration method? This study aims to determine the difference in review text writing at the pretest and posttest stages using the demonstration method. The method used in this study used pre-experimental design in the form of one-group interpretation-posttest design. Samples taken were 26 students. The instruments used in this study used the pretest and posttest question sheets. The results showed that the average student's pretest in writing a text received 40.2, while in the posttest stage it won 50.6. Thus the method of demonstration in the study of writing a novel reviewer text there are differences in the test results from pretest to posttest.
Definable isomorphism problem

We investigate the isomorphism problem in the setting of definable sets(equivalent to sets with atoms): given two definable relational structures, arethey related by a definable isomorphism? Under mild assumptions on theunderlying structure of atoms, we prove decidability of the problem. The coreresult is parameter-elimination: existence of an isomorphism definable withparameters implies existence of an isomorphism definable without parameters.
The emergence of virtual library: A paradigm shift in knowledge resource management

The emergence of virtual library: A paradigm shift in knowledge resource management - IJLSIT- Print ISSN No: - 2582-1555 Online ISSN No:- 2456-9623 Article DOI No:- 10.18231/j.ijlsit.2019.013, IP Indian Journal of Library Science and Information Technology-IP Indian J Libr Sci Inf Technol
OpenID Connect (OIDC)

OpenID Connect provides a lightweight framework for identity interactions in a RESTful manner and was ratified as a standard by its membership on February 26, 2014. It was developed under the OpenID Foundation and has its roots in OpenID, but was greatly affected by OAuth 2.0. OpenID Connect is the most popular Identity Federation protocol at the time of this writing. Most of the applications developed in the last three years are supporting OpenID Connect. Ninety-two percent of the 8 billion+ authentication requests Microsoft Azure AD handled in May 2018 were from OpenID Connect–enabled applications.
17.25 dhur land on sale at Baliya chowk, Sundar Haraincha-04, Morang.

Land For sale In Baliya chowk, Ward No.4, Sundar Haraicha Municipality, Morang, Pradesh 1 Nepal
Hidden Data Transmission during Organizations Interaction

Data is a valuable resource. So it should be protected. The most vulnerable action on the data is its transmission. Common approach to data protection during its transmission is cryptography. But of course it has disadvantages. It is proposed to combine methods of cryptography with methods of steganography. Steganography ensures the secrecy of the transmitted data. And so the following approach is proposed. To ensure data integrity and authenticity the digital signature is calculated. To protect data content encryption is used. And at last to hide the fact of data transmission, the method of steganography is used. As the container for steganography method video conference session is chosen.
BDoS: Blockchain Denial of Service

Proof-of-work (PoW) cryptocurrency blockchains like Bitcoin secure vast amounts of money. Their operators, called miners, expend resources to generate blocks and receive monetary rewards for their effort. Blockchains are, in principle, attractive targets for Denial-of-Service (DoS) attacks: There is fierce competition among coins, as well as potential gains from short selling. Classical DoS attacks, however, typically target a few servers and cannot scale to systems with many nodes. There have been no successful DoS attacks to date against prominent cryptocurrencies. We present Blockchain DoS (BDoS), the first incentive-based DoS attack that targets PoW cryptocurrencies. Unlike classical DoS, BDoS targets the system's mechanism design: It exploits the reward mechanism to discourage miner participation. Previous DoS attacks against PoW blockchains require an adversary's mining power to match that of all other miners. In contrast, BDoS can cause a blockchain to grind to a halt with significantly fewer resources, e.g., 21% as of March 2020 in Bitcoin, according to our empirical study. We find that Bitcoin's vulnerability to BDoS increases rapidly as the mining industry matures and profitability drops. BDoS differs from known attacks like Selfish Mining in its aim not to increase an adversary's revenue, but to disrupt the system. Although it bears some algorithmic similarity to those attacks, it introduces a new adversarial model, goals, algorithm, and game-theoretic analysis. Beyond its direct implications for operational blockchains, BDoS introduces the novel idea that an adversary can manipulate miners' incentives by proving the existence of blocks without actually publishing them.
Corporate Governance and Corporate Environmental Disclosures of Public-Listed Companies in Bursa Malaysia

The purpose of this study is to further increase the understanding of disclosure practices and the interrelationship between corporate governance (CG) and corporate environmental disclosures (CED) of companies on the Main Boards of Bursa Malaysia. The study adopts a quantitative analysis approach by examines the 2018 annual reports of 251 companies to determine the amount of environmental disclosure and compared with various corporate governance measures. Regression analysis was used to examine the relationship between CED and independent variables of CG namely independent non-executive directors, Muslim chairman/president of the board and Muslim ownership structures. Analysis found a significant relationship between the extent of environmental disclosure with independent non-executive directors, Muslim chairman/president of the board. In contrast, the extent of CED is insignificant with relation of Muslim ownership structures. The results indicate there have been improvements of CED over the years and could useful to provide the evidence to regulatory bodies to look further and consideration in identifying the elements of corporate governance that will enhance the CED.
Pengelolaan Sampah Di Era Revolusi Industri 4.0 Berbasis Startup Digital

Waste is one of the problems that often arise in every major city. Poor waste management is the main cause of the problem. If it is not dumped in a certain area, waste management generally only reaches the combustion stage. This management makes waste into a pile that is endless and has no value. In the current era of Industrial Revolution 4.0, waste management can be customized so that waste becomes more useful and worth selling. This research was conducted in terms of building a digital startup that focuses on waste management. For the MVP (Minimum Viable Product) feature in this research, the Channel (media communication between users and digital startup) used in the form of Landing Page. The waste to be managed is grouped into organic waste and inorganic waste. Organic waste is managed using a composter media to produce fertilizers, and inorganic waste is managed so as to produce recycled goods that have a selling value. The focus of this research is digital based waste management in one of the big cities in Indonesia, Medan City. Research on Waste Management in the Era of Industrial Revolution 4.0 Based on Digital Startup is done so that people in Indonesia, especially in Medan City are aware of good waste management, so that one of the problems that often arise due to waste can be minimized. Digital startup in terms of waste management was established with the name of Angkut Sampah. Keywords: Waste Management, Industrial Revolution 4.0, Digital Startup, Angkut Sampah
Analisis Faktor-Faktor Yang Mempengaruhi Kinerja Sistem Informasi Akuntansi (Studi Empiris pada PT. PLN Persero UP3 Klaten)

The objectives of the research is to find the influence the ability personal technique, formalization of system development, and training and education programs and top management support on information system and operational on the performance of accounting information systems at PT. PLN Persero UP3 Klaten. The sample in this study were 41 respondents from 50 questionnaires spread out, all of whom were permanent employees who worked in PT. PLN Persero UP3 Klaten. The sampling technique used was purposive sampling. The data analysis method used is multiple linear regression analysis. The results of the study show that there are two influential variables in this study, namely the variable personal technical ability and training and education programs, and top management support on information system and operational. As well as two variable that is not influential is the variable formalization of the development of information systems and top management support on information system and operational.
중국어 교육에서 단어 간 공백이 한국인 학습자의 낭독에 미치는 효과

The inter-word space is an important visual cue in Korean reading comprehension, which could improve both the efficiency of silent reading and the processing of oral reading. However, there’s no inter-word space in Chinese text as the boundary of words. This study discussed whether the inter-word space would affect the oral fluency and accuracy, and whether the effect would change with the Chinese proficiency. The experiment was a 2 (text type: no inter-word space text, text with inter-word spaces) × 2 (Chinese proficiency: beginner level of Korean learners, intermediate level of Korean learners, Chinese native speakers) mixed design. The participants were required to read the Chinese sentences with or without inter-word spaces loudly, and the sound were recorded with Cool Edit Pro software. The results showed: (1) the inter-word space didn’t affect the oral fluency of Chinese; (2) the inter-word space could improve the learners’ awareness of word boundary; (3) for the Korean Chinese learners, the less familiar with the Chinese word recognition, the less salience of the inter-word space effect on oral accuracy.
INTERACTIVE EDUCATIONAL EXPERIENCES: 360 ° CAMERA

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 6445-6448ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1550Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Security Determinants in ERP Systems: Modeling and Analysis

This article develops and tests a model for security issues in an enterprise resource planning (ERP) system. This study identifies four critical factors that influence security: internal course of organization, managerial outlook, planning system, and c..
Rare Events Detection and Localization In Crowded Scenes Based On Flow Signature

We introduce in this paper a novel method for rare events detection based on the optical flow signature. It aims to automatically highlight regions in videos where rare events are occurring. This kind of method can be used as an important step for many applications such as Closed-Circuit Television (CCTV) monitoring systems in order to reduce the cognitive effort of the operators by focusing their attention on the interesting regions. The proposed method exploits the properties of the Discrete Cosine Transform (DCT) applied to the magnitude and orientation maps of the optical flow. The output of the algorithm is a map where each pixel has a saliency score that indicates the presence of irregular motion regard to the scene. Based on the one class Support Vectors Machine (SVM) algorithm, a model of the frequent events is created and the rare events detection can be performed by using this model. The DCT is faster, easy to compute and gives interesting information to detect spatial irregular patterns in images [1]. Our method does not rely on any prior information of the scene and uses the saliency score as a feature descriptor. We demonstrate the potential of the proposed method on the publicly available videos dataset UCSD and show that it is competitive and outperforms some the state-of-the-art methods.
Privacy of Real-Time Pricing in Smart Grid.

Installing smart meters to publish real-time electricity rates has been controversial while it might lead to privacy concerns. Dispatched rates include fine-grained data on aggregate electricity consumption in a zone and could potentially be used to infer a household's pattern of energy use or its occupancy. In this paper, we propose Blowfish privacy to protect the occupancy state of the houses connected to a smart grid. First, we introduce a Markov model of the relationship between electricity rate and electricity consumption. Next, we develop an algorithm that perturbs electricity rates before publishing them to ensure users' privacy. Last, the proposed algorithm is tested on data inspired by household occupancy models and its performance is compared to an alternative solution.
The Implementation of ClassDojo in Teaching Speaking at Ninth Grade of SMP Islam Diponegoro Surakarta in 2018/2019 Academic Year

This study aims to describe the implementation of ClassDojo in teaching speaking, and describe the problems faced by teachers when teaching learning activity. This study is using descriptive qualitative method. The subject of the research was an English teacher of ninth D class in SMP Islam Diponegoro Surakarta. In colleting the data, the technique used was interview directly. The data was analyzed in three ways by reducing the data, displaying the data, and drawing a conclusion. The results of the study shows that the implementation of ClassDojo in teaching learning is used as a behavior assessment; stimulating students to be active in speaking class; and connecting teachers, students, and parents. The problem faced by teachers is the availability of technology which had by the parents.
So... this is how you look on Tinder : A quantitative study about how young adults in Sweden self-present themselves on Tinder.

The purpose of this study is to analyze how young adult self-present themselves on Tinder and the relationship between user’s self-presentation and gender to investigate if there are differences. W ...
New Methods of Science Popularization in the Social Media: Modern Trends and Communications

The problem of scientific and science popular blogging in the information web- space and its key features are considered and illustrated by the example of Instagram social network in the present article.