Reviewerly/exHarmony huggingface dataset:
DESIGNING AND IMPLEMENTING CAR RENTAL SYSTEM

Car rental was one of the business entities in the field of four-wheeled vehicle/cars rental services. The information system for borrowing and returning cars in Lampung was considered effective because the data of borrowing and returning cars and the daily transactions were recorded and reported manually - in the written form such as books and paper – so that this system was inefficient in terms of saving time, energy, and materials. The objective of this study was to build the website-based information system for car rental businesses in Lampung. The method used in this study was a structured approach method through the prototype development. The data collecting techniques used in this study was observation and interviews. The analysis and designing tools used in this study were the case diagrams, 0- levelled data flow diagrams, and 1-levelled flow diagrams. The supporting software used in this study was PHP and MySQL database. The sublime was an idea used to expanding the web application using PHP. This tool was facilitated to use to symbol, word, or line using a keyboard shortcut in a quick way. The result of this study was that the information system for borrowing and renting the car for car rental service was expected to facilitate the employees in managing the data of customers, borrowing and returning cars, and reducing errors from the data records and reports. Keywords:Information Systems, Car Rental, Borrowing, Refund.
Neural Abstractive Multi-Document Summarization: Hierarchical or Flat Structure?

With regards to WikiSum (CITATION) that empowers applicative explorations of Neural Multi-Document Summarization (MDS) to learn from large scale dataset, this study develops two hierarchical Transformers (HT) that describe both the cross-token and cross-document dependencies, at the same time allow extended length of input documents. By incorporating word- and paragraph-level multi-head attentions in the decoder based on the parallel and vertical architectures, the proposed parallel and vertical hierarchical Transformers (PHT &VHT) generate summaries utilizing context-aware word embeddings together with static and dynamics paragraph embeddings, respectively. A comprehensive evaluation is conducted on WikiSum to compare PHT &VHT with established models and to answer the question whether hierarchical structures offer more promising performances than flat structures in the MDS task. The results suggest that our hierarchical models generate summaries of higher quality by better capturing cross-document relationships, and save more memory spaces in comparison to flat-structure models. Moreover, we recommend PHT given its practical value of higher inference speed and greater memory-saving capacity.
Pengembangan E-modul Dasar Listrik dan Elektronika di Sekolah Menengah Kejuruan

This research was motivated by the not yet compiling effective learning materials. So that learning is still teacher-centered and has not yet been created for students to learn independently. Therefore, it is necessary to have teaching materials that support the learning process in utilizing technology, one of which is by using e-modules. This research aims to produce a valid and practical e-module in the Basic Electrical and Electronics Class of the TITLL class at SMK Negeri 1 Pariaman. This research uses a 4-D development model with four stages, namely Define, Design, Develop, and Disseminate. The subjects of this research trial were students of class X TITL at SMK Negeri 1 Pariaman. The data were collected using a validity and practicality questionnaire in the form of a Likert scale which had been validated by an instrument expert lecturer. Data analysis using percentage techniques. The results showed that the validator respondents were two lecturers and one teacher on the validity of the product in the valid category, while the two teacher respondents on the practicality of the product were obtained in the very practical category. Thus, the e-module of Basic Electricity and Electronics was declared valid and practically used as a learning medium for Basic Electricity. and Electronics.
The University of Edinburgh's submission to the German-to-English and English-to-German Tracks in the WMT 2020 News Translation and Zero-shot Translation Robustness Tasks.

This paper describes the University of Edinburgh’s submission of German English systems to the WMT2020 Shared Tasks on News Translation and Zero-shot Robustness.
Domino at FinCausal 2020, Task 1 and 2: Causal Extraction System

Automatic identification of cause-effect relationships from data is a challenging but important problem in artificial intelligence. Identifying semantic relationships has become increasingly important for multiple downstream applications like Question Answering, Information Retrieval and Event Prediction. In this work, we tackle the problem of causal relationship extraction from financial news using the FinCausal 2020 dataset. We tackle two tasks - 1) Detecting the presence of causal relationships and 2) Extracting segments corresponding to cause and effect from news snippets. We propose Transformer based sequence and token classification models with post-processing rules which achieve an F1 score of 96.12 and 79.60 on Tasks 1 and 2 respectively.
Investigating Low-resource Machine Translation for English-to-Tamil

Statistical machine translation (SMT) which was the dominant paradigm in machine translation (MT) research for nearly three decades has recently been superseded by the end-to-end deep learning approaches to MT. Although deep neural models produce state-of-the-art results in many translation tasks, they are found to under-perform on resource-poor scenarios. Despite some success, none of the present-day benchmarks that have tried to overcome this problem can be regarded as a universal solution to the problem of translation of many low-resource languages. In this work, we investigate the performance of phrase-based SMT (PB-SMT) and neural MT (NMT) on a rarely-tested low-resource language-pair, English-to-Tamil, taking a specialised data domain (software localisation) into consideration. In particular, we produce rankings of our MT systems via a social media platform-based human evaluation scheme, and demonstrate our findings in the low-resource domain-specific text translation task.
Pengembangan Game Edukasi Pembagian Bilangan (Gaed Babil) Berbasis Android Kelas II Di Sekolah Dasar

Abstract: One of the reasons for the absence of fun and tedious IT-based learning media. So that the Android-based number division educational game (gaed babil) is needed by students to increase motivation by learning while playing. This study aims to determine the feasibility, practicality and effectiveness of the Android-based Number Division (Gaed Babil) Educational Game. This research is a development research that uses the 4D model which consists of four stages, namely: the define stage, the design stage, the develop stage and the dissemiate stage. The analysis used the number division educational game (gaed babil), namely quantitative and qualitative. Based on these results, the android based number division educational game (gaed babil) can be used in learning because it has met the criteria of being feasible, practical and effective.
From LFG To UD: A Combined Approach

This paper reports on a systematic approach for deriving Universal Dependencies from LFG structures. The conversion starts with a step-wise transformation of the c-structure, combining part-of-speech (POS) information and the embedding path to determine the true head of dependency structures. The paper discusses several issues faced by existing algorithms when applied on Wolof and presents the strategies used to account for these issues. An experimental evaluation indicated that our approach was able to generate the correct output in more than 90% of the cases, leading to a substantial improvement in conversion accuracy compared to the previous models.
Interactive Simulation of DNA Structure for Mobile-Learning

Mobile Augmented Reality (MAR) is considered to be a promising tool in science classes to foster kids’ imagination. In this paper, a parametric simulation method of DNA three-dimensional structure is proposed for middle school biology class. Affine transformation was used to stack and spiral complementary paired nucleotides in three-dimensional space according to the structural parameters of different DNA conformations. The process of vector construction was dynamically simulated by the recognition technologies (i.e., image characteristics and collision detection). The prototype system was developed using mobile technologies, which combines multiple interactive methods (i.e., viewing, listening, touching, and physical objects) to provide users with an appropriate learning and cognitive way. The system is useful for learners (especially K−12 students) to utilize the fragments of spare time outside the class to promote the cognition of DNA. In the future, such technology-assisted education would be a popular open learning form.
INTERACTIVE MULTIMEDIA IN THE VIRTUAL CLASSROOM WHEN WORKING IN A GROUP FOR ALL-DAY ORGANIZATION OF THE SCHOOL DAY

The article examines the interactive multimedia in the virtual classroom in Teams and the opportunities it opens for modern society and its advantages in distance learning working in a group for all-day organization of the school day. The virtual classroom is presented as a room of the future.
Automotive Failure Prediction based on Text Mining of Warranty Data

Purpose: This paper uses unstructured warranty data, such as customer complaints and repair information, extracted through text mining and proposes a methodology for identifying and predicting automotive failure.BRMethods: The Word2Vec and CountVectorizer algorithms were used to determine the similarity between and frequency of the vectorized meanings of the words. A word embedding model was constructed on the bases of these distinct features of the words, and multimodal-deep neural network (DNN) modeling was performed to derive the prediction results of the failure phenomenon. A comparative analysis of the performance metrics of different combinations of the models was performed.BRResults: The model using both the CountVectorizer algorithm for extracting features within similar text clusters and the multimodal-DNN for training the data exhibited the best performance.BRConclusion: This study shows the effects of different data structures and feature extraction algorithms on failure prediction performance. The developed model improves the prediction accuracy by applying the relevant feature extraction algorithm and text classification learning model.
EXPLORING READING COMPREHENSION SKILLS IN PAPER TEXT AND SCREEN TEXT

The article presents a comparative study of reading comprehension skills in students aged 12–13 years. The perception of text on paper and on electronic media is monitored. The experiment was performed under four experimental conditions – reading on paper (the time is not limited), reading on electronic text (the time is not limited), reading on electronic media with fast and slow slide exposition (the time is limited). In the first experimental condition a gaze tracking system (Eye Tracking) was used to trace the mechanism of text perception. In each of the experimental conditions the reading comprehension is monitored with a comprehension questionnaire. The results of the experiment show that when reading text up to one page there is no difference in the levels of reading comprehension on paper and on electronic text. Some features of the participants’ reading style were also traced, describing similar experiments conducted using a gaze tracking system.
Differential Typology of Burnout in the Ukrainian Sample

Aim of study is a qualitative classification of manifestations of professional burnout based on quantitative indicators of exhaustion, cynicism and inefficiency. The paper substantiates the need to differentiate the symptoms of burnout from similar manifestations of professional maladjustment and personality disorders. The study involved 355 specialists of socionomic professions from different regions of Ukraine with work experience from 1 to 39 years (50.15% of men, 49.85% of women). Based on the cluster analysis of the three basic symptoms of burnout (exhaustion, cynicism, and depersonalisation), the groups of engaged and burned-out employees were identified, as well as qualitative and quantitative differences were showed. A comparative analysis of the groups was carried out for a number of additional diagnostic parameters: emotional attitude to work, the ratio of losses and gains of personal resources, the scale of psychological well-being, loyalty to the organisation. Typological profiles of 8 professional groups were created: effective employees ("engaged", "growing" and "taking" type), ineffective employees ("dependent" and "disengaged-relaxed" type), and three groups representing successive stages of burnout (accumulation of job stress, burnout itself and severe degree, accompanied by psychological distress in all spheres of life). The results allow us to conclude that particular symptoms of depersonalisation and reduction in personal achievements are not a sufficient basis for diagnosing burnout syndrome. The symptom of depersonalisation may be a manifestation of other professional deformations, not caused by burnout. Without combination with other parameters, the professional inefficiency is not a symptom of burnout; this is a common sign of insufficient development of competencies or an erroneous choice of the type of activity. Appropriate ways of organisational and psychological support are proposed.
USЕ OF ЕDUCATIONAL PHOTOGRAPHS IN TEACHING PHYSICS IN SECONDARY SCHOOL

Physical objects, phenomena, laws and theories are studied in high school physics. They can be presented through various visual aids such as experiments, diagrams, graphics, photographs, videos and more. Our focus is on educational photographs as a means of visualizing physical objects and phenomena. Educational photographs’ merits are presented. They can be used in all types of physics lessons. For example, lessons for new knowledge or solving problems, laboratory or seminar lesson. Important didactic functions that they perform are considered such as illustrating of physical objects, technical application of studied laws and phenomena, solving problems during the lesson or for independent work and creating problematic situations. The emphasis is on the so-called photo tasks, which solution can be realized with the help of an interactive whiteboard. The use of digital photography in physical educational experiment is also considered. A model of the activity of the teacher and the students in conducting physics laboratory work is proposed. A methodology for using digital photography in physics demonstration experiment is presented.
Using blockchain technology to ensure information security

Blockchain technology is becoming one of the main drivers of innovation in the global economy. Its implementation will have a huge impact on how businesses and governments operate and on how people organize their daily lives. The financial services industry is currently under the greatest impact of the blockchain revolution, and financial institutions are among the earliest users of the technology. At the same time, the maritime industry, as a fairly traditional industry, does not yet have many examples of blockchain applications, but this technology can significantly change this industry.
‘Higher Laws’ and ‘Divine Madness’: Transnational and Translocal Configurations of Quixotic In/Sanity in the American Renaissance

The New England Transcendentalists deliberately chose a position which by definition did not belong to what was to them the common “prosaic mood” (Thoreau) of their time. Their choice was the result of representatively romantic discontent with their contemporary reality and, at the same time, through the vigorous drive of the Puritan spiritual leadership, it was essentially anachronistic. The sophisticated delight of identifying with such a doubly anomalous nonconformist ideal only intensified the need for counterbalancing the prosaic sanity of the real world with a wished-for poetic insanity, or “madness from the gods” (Emerson). Such “madness by romantic identification” whose “features have been fixed once and for all by Cervantes” (Foucault), naturally caused “Quixotic confusion” between reality and imagination and the substitution of the true with the fabulous. Though peculiarly intensified in the former Puritan context and in the context of ‘Americanness’ in which the nineteenth century New England intellectuals placed it, the problem was far from being merely a local, New England-centered, phenomenon. This paper argues that in their ‘in/sane’ Quixotic quest for perfection, which caused a series of personal failures, the New England Transcendentalists were remarkably faithful saunterers in a blessed place that, to them, was both America and, at the same time, the all-encompassing perennial—translocal and transnational—world, inviting them to establish what Emerson called “an original relation to the universe.”&#x0D;
The 9 most important web development trends for 2019

Web development is a rapidly evolving field. Innovation and out-of-the-box thinking constantly create new solutions that make life easier for both ...
A Watermarking Technique for Biomedical Images using SMQT, OTSU And Fuzzy C-Means

Digital watermarking is a process of giving security from unauthorized use. To protect the data from any kind of misuse while transferring, digital watermarking is the most popular authentication technique. This paper proposes a novel digital watermarking scheme for biomedical images. In the model, initially, the image is segmented using Fuzzy c-means. Afterwards, the watermark is embedded in the image using discrete wavelet transform (DWT) and inverse DWT (IDWT). Finally, the watermark is extracted from the biomedical image by executing the inverse operation of the embedding process. The main focus of this thesis is to provide good tradeoff between perceptual quality of the watermarked image and its robustness against different attacks. For this purpose, we have discussed two robust digital watermarking techniques in discrete wavelet (DWT) domain. One is fusion based watermarking, and other is spread spectrum based watermarking. Simulation results of various attacks are also presented to demonstrate the robustness of both the algorithms while maintaining robustness against different attacks by demonstrating a lower bit error rate (BER), and peak signal-to-noise ratio (PSNR).
GL-Disen: Global-Local disentanglement for unsupervised learning of graph-level representations

Graph-level representation learning plays a crucial role in a variety of tasks such as molecular property prediction and community analysis. Currently, several models based on mutual information maximization have shown strong performance on the task of unsupervised graph representation learning. In this paper, instead, we consider a disentanglement approach to learn graph-level representations in the unsupervised setting. Our work is the first to study disentanglement learning for graph-level representations. Our key observation is that the formation of many real-world graphs is a complex process with global and local generative factors. We hypothesize that disentangled representations which capture these global and local generative factors into independent latent units can be highly beneficial. Specifically, for graph-level representation learning, our disentanglement approach can alleviate distraction due to local variations of individual nodes or individual local neighbourhoods. We propose a VAE based learning algorithm to disentangle the global graph-level information, which is common across the entire graph, and local patch-level information, which varies across individual patches (the local subgraphs centered around the nodes). Through extensive experiments and analysis, we show that our method achieves the state-of-the-art performance on the task of unsupervised graph representation learning.
TwiConv: A Coreference-annotated Corpus of Twitter Conversations

This article introduces TwiConv, an English coreference-annotated corpus of microblog conversations from Twitter. We describe the corpus compilation process and the annotation scheme, and release the corpus publicly, along with this paper. We manually annotated nominal coreference in 1756 tweets arranged in 185 conversation threads. The annotation achieves satisfactory annotation agreement results. We also present a new method for mapping the tweet contents with distributed stand-off annotations, which can easily be adapted to different annotation tasks.
Rise of Blockchain Consortia

This chapter is transcribed from a conversation between Vikram Dhillon and Katherine Kuzmeskas from Tamarin Health on her journey of creating a blockchain company, the challenges faced on the way, the evolving nature of consortia, and the future of her company.
(9) سائبر کرائمزکا تعارف، تاریخ، خطرات و نقصانات اور چیلنجز + Introduction, history, dangers and challenges of cyber crimes

With the invention of the Internet, the world has become a universal village as the Internet has brought people from all over the world closer together. While modern technology, cyberspace, and the Internet are a great source of blessing and development for human civilization, there are many opportunities for criminals to commit crimes. Those who use information technology for negative purposes are called cybercriminals and all criminal activities, committed by the computer; the Internet, cyberspace and the World Wide Web are called cybercrimes. The first recorded cybercrime occurred in 1820 (1). Cybercriminals freed from geographical boundaries can commit their crimes from anywhere in the world. Today, cybercriminals have access to various systems of the countries of the world, including security, defense, communications, education, economic and ground and air transportation, and they also have access to the private information of individuals and the entire record of various institutions. At present, the world faces technical, legal, operational and general challenges regarding cybercrimes both domestically and internationally. This article explains: What are cybercrimes? When did they start? What are the types of cybercrime? Who are the cybercriminals and what are their goals? What are the risks and challenges of cybercrime?
Perancangan Sistem Monitoring Penjualan Untuk Optimalisasi Penjualan Sayuran Pada Kelompok Tani Hidroponik Menggunakan Metode Single Exponential Smoothing (SES)

One important aspect of buying and selling activities is the proper tabulation of sales data. During its development, many ways are used to store and process sales data, systems with varied features and different results according to user needs. In this study, researchers developed a system that can be accessed easily, web-based with a case study of selling hydroponic vegetables. This Sales Monitoring System can be used as a tool to record sales data, so that farmers are expected to use the data to predict the types of vegetables that should be planted. The forecasting process uses the Single Exponential Smoothing method using sales data as reference data. This system can also use to monitor the vegetables that are put into stalls or market places, and also see the accumulated monthly income. Apart from farmers, there are 3 other user categories in this system; admin, accountant and super admin