Reviewerly/exHarmony huggingface dataset:
Data Strategies for Low-Resource Grammatical Error Correction

Grammatical Error Correction (GEC) is a task that has been extensively investigated for the English language. However, for low-resource languages the best practices for training GEC systems have not yet been systematically determined. We investigate how best to take advantage of existing data sources for improving GEC systems for languages with limited quantities of high quality training data. We show that methods for generating artificial training data for GEC can benefit from including morphological errors. We also demonstrate that noisy error correction data gathered from Wikipedia revision histories and the language learning website Lang8, are valuable data sources. Finally, we show that GEC systems pre-trained on noisy data sources can be fine-tuned effectively using small amounts of high quality, human-annotated data.
Procedural Model in the Development of Assistance Systems for the Proficiency Test for Competency in the Field of Information Based on Ubiquitous Learning

Changes in technology require resources, and supporters must compete for resources power from the same source as another. Understanding how to connect various learning resources is as important as learning content because knowing what we need for tomorrow is more important than what we know today. Some journals are related to models which are a process of mindset and components contained in it, which are represented in the form of graphics and / or narrative. In the design of learning systems, models usually describe the steps or procedures that need to be taken to create effective, efficient and interesting learning activities. The Mentoring System carried out with a procedure model openly to carry out the proficiency test in the field of informatics is one alternative in learning solutions for the industrial revolution era 4.0. The Research and Development approach and the characteristics of the model developed in this article broadly combine 3 models of interrelated systems development between Borg and Gall models as backbone, Hanafin and Peck as a learning interaction process and the waterfall model as the creation of a mentoring application system. The final result of this article is the establishment of a procedural model in a digital learning system from national and international standard certification programs based on the Professions and Competencies provided by industry and associations. Procedural models are a form of the formation of an Assistance system that bridges the industrial world and campus-based Ubiquitous Learning
Arkeologiska perspektiv på skogsbränder : en studie över svenska skogsmarker som brunnit mellan åren 1992–2018

The extent and effect of forest fires on ancient remains and cultural heritage in the boreal forest of Sweden is relatively unknown and scarcely researched. The aim of this study is to examine how ...
Harnessing emerging digital technologies: DataNet operations in eSwatini

This case study focuses on the impressive work carried out by DataNet. Their dedicated and innovative strategies helped develop the economy of eSwatini (formerly known as Swaziland). This case aims to demonstrate how this ingenious organization promoted eSwatini’s revenue to increase fourfold with DataNet’s advice regarding tax issues. DataNet also successfully executed numerous projects for the government of eSwatini. To name a few, DataNet has implemented the National Fire and Emergency Response System, Customs Automation, Scholarship Systems, as well as Surveillance System— a few of which were milestones for the company and eSwatini’s government. DataNet assimilates services tailored to the client’s needs with their technologies, including Internet of Things, high-performance computing, machine learning, big data platform, and their application on several industries, for example, education, finance, and health security and health. Challenges were encountered by DataNet while working in eSwatini; poor governance, lower Internet penetration rate, and the lack of a skilled workforce were real setbacks. Nonetheless, DataNet has been successful in leaving its mark in over six countries, covering three continents.
Review on Credit Card Fraud Detection using Data Mining Classification Techniques & Machine Learning Algorithms

Data mining (DM) involves a core algorithm that enables data deeper than basic insights and knowledge. In fact, data mining is more part of knowledge discovery process. Credit card (CC) providers provide multiple cards to their customers. All credit card users must be genuine and sincere. Giving a card to any kind of mistake can lead to a financial crisis. Due to the rapid growth in cashless transactions, it is unlikely, Fake transactions can also be increased. A fraudulent transaction can be identified by studying credit cards of various behaviors as a previous transaction history data set. If there is any deviation from the available cost pattern, it is a bogus transaction. DM & machine learning techniques (MLT) are widely applied in credit card fraud detection (CCFD). In this survey paper we show an indication of various widely available DM & MLT for detecting credit card fraud.
Research Guides: Databse Trials & Renewals (specific to LSC-UP Library): About

Learn more about the UP-specific database licenses and provide feedback to help us decide what to add or remove.
LibGuides: Summer Reading .... In Person AND Virtually 2021: Marketing Materials

So you find yourself unable to hold your traditional summer reading program. Here are some ideas that you can use
Seismic performances of highfill airports during the recent strong earthquakes in China

Abstract High-fill slope with gap-graded fillback material and impervious clay sublayer is the typical structure of airfield in mountainous area. The seismic response of such slopes under intense earthquake loadings is one of the major concerns in engineering practice. This paper presented seismic performances of three typical high-filled airports during the recent strong earthquakes in China, and the damage/failure mechanisms are discussed. The main finding of this study is that, although no direct airport fill failures were found during earthquakes, cracks formed in airfield by strong shaking could provide passages for rainfall, where preference flows develop gradually and will significantly soften fillback material and impervious clay sublayer, inducing slope failure. Numerical and physical modelling and mitigation techniques are of high priority. After earthquake, timely site investigation, monitoring and slope repairment are greatly needed to prevent destructive deformation during the rainy period.
Study of Local Site Effects on Earthquake Early Warning

One of the key information required for earthquake disaster mitigation and management is the prior understanding of the impact of strong ground motion. The earthquake early warning system (EEW) is one of the upcoming instruments to effectively reduce the seismic risk, and it provides an alert of imminent damage by quick determination of earthquake source parameters based on the simple onsets. The issues of improving accuracy and applicability are still controversial. In this paper, an attempt has been made to show the influence of local site effects on the earthquake early warning on strong ground motion parameters. The most commonly used EEW parameter; the average period of the initial 3 s of the ground motion records has been used. The analysis has been carried out with the basis of existing measurable ground motion records from the Japanese dataset. The results showed how the earthquake early warning parameter varies for different bedrock motions, surface motions, and also for different site classes. It indicates that the local site effects are significantly influencing the earthquake early warning parameter considered.
Social, Emotional and Behavioural Difficulties in Irish Schools: We Need to Talk About Gender

Findings from the Growing Up in Ireland research (Banks, Shevlin and Mc Coy, 2012) report an over-identification of males with special educational needs, particularly social, emotional and behavioural difficulties (SEBD). This highlights gender as a previously well-known but largely ignored variable in understanding and supporting students who present with SEBD. With over one third of post-primary schools being single gender schools (Department of Education and Skills, 2018), Ireland is unique in Europe in stratifying schools according to gender. This paper makes the case for further research into gender and SEBD in the Irish context. Identifying a lacuna in the literature and referencing previous research by this author (McKeon, 2015), four issues are highlighted in which further investigation is needed in order to respond more effectively to the needs of students in Irish schools.
Analysis on the Online Education Research Topic in China---under the Background of Covid-19 Epidemic Era

More and more researches have been taken on the online education in these years. COVID-19 Epidemic has changed the way of people’s life and learning, as well as the researchers’ attention. The researches on online learning have been developed in the diversification of aspects. In this paper, the author will analyze the online education research topic in China. The purpose of the paper is to help readers get a whole view of the research topics on online education.
Pembuatan Bahan Ajar Digital Akuntansi Keuangan di SMA Islam Nabilah

The COVID-19 pandemic that hit Indonesia prompted the Indonesian government to issue a  new policy to carry out teaching and learning activities online. This new policy of online teaching and learning activities has brought many difficulties, especially for students whose learning media is less attractive and difficult to understand. The making of digital teaching materials is aimed at Nabilah Islamic High School with the aim of this activity the writer wants to help schools in digital learning media for teaching and learning activities, and makes it easier for students to understand service company financial accounting lessons. The learning media made are in the form of learning modules, power points, and animation videos. Data collected by interview techniques, observation, and literature study. The results of making digital teaching materials are implementing the outputs that have been made to students by presenting them in class through online meetings. The hope of the writer is that the output produced can be used in the learning process in a sustainable manner.
NEED ANALYSIS OF STUDENTS OF PRIMARY SCHOOL TEACHER EDUCATION IN ENGLISH SPEAKING SKILLS

In learning English, speaking skills are one of the skills that must be possessed by Elementary School Teacher Education students so that they can master the ability to communicate in spoken English. Speaking skills in learning English must be adjusted to their needs. Lecturer needs a needs analysis that is expected to facilitate students in learning English. This study aims to determine and describe the needs of Elementary School Teacher Education students in English speaking skills. Data obtained from questionnaires and interviews. The results of the analysis of learning needs obtained are students needing the ability to speak fluently and communicatively in order to prepare themselves to fulfill the demands of their profession as elementary school teachers later. Needs analysis data designed to reveal a) the current process of English speaking skills in the Primary School Teacher Education Study Program, University of Muhammadiyah Tangerang, b) Students 'needs and difficulties, c) Students' needs and desires in learning speaking skills. The needs analysis revealed that (1) the difficulty of students in the most dominant speaking skills was grammar, (2) the material desired in the form of materials related to elementary school material, (3) the activities needed by students such as simulation, roleplay, dialogue and question answer. The results of this study are expected to be a reference for preparing syllabi and developing teaching material.
Performing image confusion and diffusion using two dimensional triangle functional chaotic maps

Currently, with a malicious attacker against the authorization of an image it is necessary to have a method to secure the content of the image. Therefore this paper presents a new technique for performing image confusion and diffusion using Two Dimensional Triangle Fractional Combination Discrete Chaotic Map (2D-TFCDM). The image confusion requires a set of 2D-TFCDM chaotic random numbers to relocate the pixel locations of plain or secret images. At the same time, image diffusion utilizes the chaotic numbers to modify the pixel values of confused image. The proposed method performs well in terms of visual investigation and objective quality assessment on the confused and diffused images. In addition, it offers a promising result for the grayscale and color image with simple computation, which the experiment results demonstrate that the proposed method outperforms other existing methods under several types of visual observation, correlation coefficients, entropy, UACI, NPCR.
THE INFLUENCE OF INTELLIGENCE ON THE DEVELOPMENT OF CREATIVITY: 10.24250/jpe/1/2021/GSV

The psychology of our days promotes the idea that any human being has the capacity to be creative, but for this to happen there are a series of factors necessary to be involved. Guilford, the father of creativity, emphasizes the involvement in creativity of non-intellectual factors, but still considers that it remains under the condition of intelligence.Based on this fact, the present study researches convergent thinking as an important factor of the development of creativity and the variation of creativity in the school environment according to certain particularities, like the age and the background of the pupil.Contemporary education is dealing with the issue of creative learning, which is defined as a â€œform of teaching that, as a ultimate purpose, creates individual and collective behaviors which are oriented towards the search, the discovery and the realization of the newâ€. (Ažchiopu,1992).  Therefore, creative teaching entails: personal initiative and independent work, belief in oneâ€™s own strengths, positive reactions to the demands of the environment.Creativity will become more and more a needed ability in the future and civilizations will thrive according to the measure of creativity they display. Creativity is therefore a problem that can determine the survival in time and space. (Roco, M.2001)
Findings and Core Practices in the Domain of Security Assurance in DevOps

This chapter of the book provides an overview of the results obtained during this research project and presents the prioritised list of security practices to integrate security assurance in DevOps. It includes answers to the questions formulated at the start of the research project and contains an overview of the findings for collaboration, automated, and non-automated security activities. The authors discuss the overall conclusions based on the outcomes of the research. Finally, an overview of the limitations and possibilities for future research are presented.
Perancangan Sistem Informasi Tracer Study Berbasis Web Pada Prodi Sistem Informasi UIN Raden Fatah Palembang

Alumni quality greatly affects an educational institution as proof that the institution produces graduates who are competent in their fields. The information systems study program in Palembang has certainly produced alumni who are scattered in various regions and the alumni data is only partially known by the information systems study program. Therefore, the information system study program needs to have a Tracer Study to trace alumni career, absorption and alumni positions in their field of work. The contribution of alumni to the tracer study is needed to influence the development and progress of the study program. The purpose of this study is to plan and develop an educational curriculum for information systems study programs according to the needs of the job market. The object used in this research is the Information Systems Study Program at UIN Raden Fatah Palembang. The method used in this research is a system design method using the System Development Life Cycle (SDLC) method. The results of this study are the data on the relevance of the tracer study which will provide information to alumni and the information system study program will later be able to plan a good curriculum to get a job market for alumni.
LEARNING EVALUATION USING THE CIPP MODEL ON PACKAGE C

Chase the Package C is a non-formal education which is the same to Junior High Scools. Although having the same curriculum, but it has sifferent implementation of the learning prodess. One of these facilities in terms of the learning process, teachers often make the conventional learning. The objective of this research is to evaluate the implementation of learning Bahasa Indonesia in SKB Batudaa Paket C using CIPP model (Context, Input, Proces, and Product). This research consist of four evaluation, and (4) the results evaluation. This research used a qualitative approach. The results showed that the instruments used in the evaluation of the learning process using CIPP model can be used with little revision. Moreover the process of implementation of the research indicates that the process of learning Bahasa Indonesia in SKB Batudaa Chase the Package C is not well structured from the procurement needs of students, facilities, and the teaching material of Bahasa Indonesia. It is also supported by the unapproriateness of acquisition results of the Final National Exam score.
Data Mining Prediction of Oil Palm Fruit

The development of information technology today is very meaningful for all circles. Currently, information technology has become a necessity in everyday life. The use of information technology is proven to facilitate human performance. Where the number of suppliers that supply palm oil fruit every year will affect the activities of companies engaged in palm oil production. So that currently the company needs a decision-making strategy in the procurement of oil palm fruit. Data mining is a technology that is very useful to help companies find very important information from data centers. Data mining predicts trends and characteristics of business behavior which are very useful to support important decision making. One of the techniques the writer uses is the Association Rule technique. Association Rule is a data mining technique to find association rules between item combinations. Using the Association Rule technique will help companies predict which suppliers will supply palm fruit in the following year. Meanwhile, to predict the load does not use the association rule method but uses existing data analysis.
Requirements for Preparing Vocational Education Teachers in the Innovation Cluster of Higher Education

The article discusses the improvement of the process of preparing teachers for vocational education in the context of an innovative cluster of higher education, the pedagogical requirements for their training, the effectiveness of training activities, and the evaluation of students.
Spotting of Reckless Driving on Highways in India

In India, a large portion of the mishaps on parkways happen because of rash driving. The traffic populace has expanded significantly in India as there is no way to control or screen the speed of vehicles running on streets. This framework demonstrates profoundly viable in discovery of over speed driving. It isn't at all important that such mishaps are consequences of driving affected by liquor as even an individual who hasn't devoured liquor can drive in a careless way. The benefit of our proposed over speed driving notice framework is that it will come convenient for the roadway traffic police as it won't just furnish an advanced showcase as per a vehicle's speed however will likewise stable an alert if the vehicle surpasses the admissible speed for the expressway. The proposed framework will keep an eye on rash driving by figuring the speed of a vehicle utilizing the time taken to go between the two set focuses at a fixed distance. A set point comprises of a couple of sensors containing an IR transmitter and an IR collector, every one of which are introduced on either roadsides.
Provably Safe PAC-MDP Exploration Using Analogies

A key challenge in applying reinforcement learning to safety-critical domains is understanding how to balance exploration (needed to attain good performance on the task) with safety (needed to avoid catastrophic failure). Although a growing line of work in reinforcement learning has investigated this area of exploration, most existing techniques either 1) do not guarantee safety during the actual exploration process; and/or 2) limit the problem to a priori known and/or deterministic transition dynamics with strong smoothness assumptions. Addressing this gap, we propose Analogous Safe-state Exploration (ASE), an algorithm for provably safe exploration in MDPs with unknown, stochastic dynamics. Our method exploits analogies between state-action pairs to safely learn a near-optimal policy in a PAC-MDP sense. Additionally, ASE also guides exploration towards the most task-relevant states, which empirically results in significant improvements in terms of sample efficiency, when compared to existing methods.
A Study of Acts of Terrorism through Cyberspace in India

Cyber crime is a serious threat to national security by giving the architects of terror a shield of anonymity. In civilizations, malicious scripts, malware, worms and other new threats, such as electric pulse bombs and high-energy radio frequency weapons, are now causing mayhem. Since the last decade, India has been subjected to this form of devastation relentlessly. The execution was carried out primarily by an assistant in cyberspace from the 26/11 attacks in Mumbai in 2008 to the Pathankot attack in 2016. China has compromised into India's official networks in countless cases, enabling it to remove such networks throughout any confrontation. Inter-Service Intelligence (ISIS) and numerous non-state Islamic jihadists from Pakistan have terrorized civilians exponentially by manipulating people's mindsets. India lacks a robust law to deal with cyber-terrorism, facing certain challenges. The paper was split into two parts. This paper addresses the increasing cyber terrorism events in India, the definition and principle of the word, the purpose and mechanism behind an attack, and the dangers involved. The legal provisions on the national level, international governance and how cyber terrorism could be a greater threat and the future and how to combat it are discussed as well in this paper as well stating facts briefly about the cyber-crimes. This paper also explains in brief the prevention and remedies.
AUTOMATIC RECONSTRUCTION OF INDOOR ENVIRONMENTS FOR SHARING AR AND VR SPACES

Recently the amount of applications that exploit the augmented reality has seen an hyperbolic growth. The progress of technology allowed people to deal with powerful tools simply by using the phone. Computer vision represents one of these fields of application; its goal is to allow the user to perceive, classify and elaborate data from the external world by means of a camera. This project consists in the development of an application to let the user to reconstruct an indoor environment by taking photos of the objects in it. Although a lot of applications allow the object placement in an Augmented Reality environment, this particular system differs by the fact that the reconstructed objects placed in the scene are not premade, but are created at runtime by an external server which receives the photo as input and produces the correspondent 3D model as output. The system is based on a client-server architecture, where the client side is developed using the Unity Environment and the AR functionalities provided by Google ARCore, and the server side is based on a pipeline which extracts the current object from the scene, reconstructs it as a 3D model, refines the mesh imperfections and returns it to the client rotated according to the real position of the object inside the scene.