Reviewerly/exHarmony huggingface dataset:
THE TERM OF DOCUMENTATION IN THE CONTEXT OF LIBRARY AND INFORMATION SCIENCE EDUCATION IN INDONESIA FROM THE 1950’S TO 2010’S

The purpose of this study is to explore the concept of teaching institutions in Indonesia. The term documentation in the Indonesian library and information Sciences (LIS), which is a translated version of the word “documentatie,” was introduced in the early 1950s by the Training Course for Library Staff as an activity that involves the acquisition, processing, storage and retrieval of documents. Furthermore, the method adopted historically involves the examination of existing historical sources, usually articles, institutional reports, examining textbooks. Moreover, it was reported that documentation is different from library activities, which subsequently extended to the application in government offices. This variation impacts on the daily life, based on the fact that documentation is more concerned with on non-printed materials, laying emphasis on the processing of newspapers and journals, and the movement towards natural sciences. Conversely, the library is concerned with printed data on books, with works that are limited to social sciences and humanities. However, the growing impacts of internet information technology on librarianship and research progress in the aspect of related sciences lead to a query on the similarity and variation between both terms in Indonesia. In the mid-2010s, the Ministry of Research and Higher Education issued a regulation under the auspices of Information Sciences cluster, insinuating the existence of programs, which include (1) Information Science and (2) Library and Information Science (LIS). This paper, however, accepted the concept of variation between Information Science, LIS and documentation, leading to the submission of some suggestions based on its content as a course study in Indonesia. Furthermore, there are no mentions of documentation in this dimension, owing to its obsolete modified meanings. Keywords: Library and Information Sciences, LIS Education, Education program, Documentation Term
Big Data Critical Computing Based on the Similarity-Difference Metric

Models, methods and algorithms for cyber-social computing are proposed that use the similarity-difference metric of unitary coded information for processing big data in order to generate adequate actuator signals for controlling cyber-social critical systems. A set-theoretic method for data retrieval has being developed based on the similarity-difference of the frequency parameters of primitive elements, which makes it possible to determine the similarity of objects, the strategy of transforming one object into another, as well as to identify the level of common interests, conflict. The definitions of the fundamental concepts in the field of computing are given on the basis of metric relations between interacting processes and phenomena. A software application is proposed for calculating the similarity-differences of objects based on the formation of frequency vectors of two sets of primitive data. A high level of correlation between the results of the application and the well-known system for determining plagiarism is shown.
Tenfold Bootstrap as Resampling Method in Classification Problems

In this research, we propose the bootstrap procedure as a method for train/test splitting in machine learning algorithms for classification. We show that this resampling method can be a reliable alternative to cross validation and repeated random test/train splitting algorithms. The bootstrap procedure optimizes the classifier’s performance by improving its accuracy and classification scores and by reducing computational time significantly. We also show that ten iterations of the bootstrap procedure are enough to achieve better performance of the classification algorithm. With these findings, we propose a solution to the problem of how to reduce computing time in large datasets, while introducing a new practical application of the bootstrap procedure.This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
User awareness of ict enabled information services: a comparative study of university libraries of Delhi and NCR

The authors through this paper aimed to compare the user awareness of ICT enabled information services of university libraries Delhi & NCR (National Capital Region). The universities covered in the study are central and deemed universities of Delhi and NCR, selected from NIRF 2017 of MHRD. The in-depth review of literature helped in preparing the tools for the study. Content analysis of websites of university libraries helped to find out the ICT enabled information services being facilitated by the universities under study. The survey using a structured questionnaire helped in the collection of users data. Out of the many ICT enabled information services facilitated by the selected libraries, only five ICT enabled information services were selected through content analysis of websites. The five selected services were used to compare user awareness. The authors collected data into two categories, which were 'Aware' & 'Not aware'. The Google spreadsheet was used as a statistical tool to analyse data and represent it pictorially. The study findings revealed that a higher number of percentage of users of deemed university libraries (84.80%) are aware of the selected information services in comparison to (69.88%) users of central universities. In the category of 'not aware', the higher percentage of responses (30.12%) are from central universities in comparison to deemed universities (15.20%). It highlights that users of central university libraries are less aware of the ICT enabled information services. These are lagging behind in making their users aware in comparison to deemed university libraries by a margin of (14.92%). The scenario needs to be addressed by central university libraries.
Autonomous Car Simulation Using Evolutionary Neural Network Algorithm

Automation with artificial intelligence (AI) has widely implemented in robotics, transportation and manufacture. AI has become a powerful technology that change human life and help human more flexible doing something. In this paper, it will show a result of simulation from an autonomous car using the evolutionary neural network algorithm which combines genetic algorithm and neural network. The purpose of the simulation is to test the model that we develop to know the right direction based on the track, so the evolutionary neural network that implemented to the autonomous car be able to deliver the best solution before it implements in the real machine or car technology. Genetic algorithm combines with a neural network to reach an evolution condition. The evolution process is achieved through crossover, mutation and selection process, so the algorithm will give the best result from the iteration of the experiment. The result of our experiment shows that evolutionary neural network algorithm give the best result within 3 layer architecture, with iteration average is 14.5 reach finish point (check point) 3 in the track simulation. Based on the simulation, our car model can find out the right direction.
DQN Tackling the Game of Candy Crush Friends Saga : A Reinforcement Learning Approach

This degree project presents a reinforcement learning (RL) approach called deep Q-network (DQN) for learning how to play the game Candy Crush Friends Saga (CCFS). The DQN algorithm is implemented t ...
Regulatory aspects of the stages of formation of subjectivity of university students

The article considers the role of the universal system of conscious self-regulation as a meta-resource in the system of stages of formation of subjectivity (ontological model). The concepts of hierarchical levels of formation of self-regulation are considered: maintaining the level of human adaptation; level of difficulty; the degree of concreteness of achieving life goals (universal (meta-) and special regulatory resources). The stages of the formation of subjectivity are considered in the ontological continuum “subject of spontaneous activity — subject of arbitrary action”, this model is not tied to a specific activity, and is also universal. For the first time, a study was conducted of the relationship of self-regulation profiles with the structure of the stages of formation of subjectivity in relation to the achievement of the goal in systemforming activities (by the example of student learning actions). Using a correlation analysis, intersystemic relationships were established between indicators of conscious self-regulation (planning, modeling, programming, evaluation), regulatory qualities (flexibility, independence) and the general level of self-regulation with the severity of the stages of formation of subjectivity, their integrity and connectedness. The process of formation of subjective qualities is considered depending on the typology with the allocation of three profiles of the empirical structure of self-regulation for two samples (88 people in total). Samples of university students are compared in the direction of preparation (the first is engineering, the second is computer technology, the most involved in digitalization). For each of the samples, specific interrelation results were obtained. The results obtained are relevant in the scientific and applied terms for the development of individual educational routes.
GAMBARAN KEMAMPUAN SISWA KELAS XI SMAN 1 LABUAPI DALAM MENYUSUN PROPOSAL KEGIATAN MELALUI METODE PEMODELAN

This study generally describes a description of the ability of class XI students of SMA Negeri 1 Labuapi in preparing proposals. This picture is taken from the results of the best practices of learning activities using modeling methods. This research concludes several things. First, the description of the learning activities carried out by the teacher is that learning has been going well. The implementation of teacher activities was 88.2%, from 17 planned activities, 15 were implemented and two were not implemented. Second, learning activities undertaken by students describe that learning has been going well (active). There are eight activities carried out by all students, five activities carried out by most students, two activities carried out by a small number of students, and two activities not carried out by students. Overall, the implementation of student learning is 80%. Third, the description of the ability of class XI students of SMA Negeri 1 Labuapi in preparing activity proposals is: (a) the average quality of proposals produced by class XI IPA 2 is classically 78.5; (b) the average of each element assessed is 3.7 (very good category) for aspects of conformity to the theme; 3.75 (very good category) for aspects of the proposal component completeness; 3.4 (good category) for the quality of the contents of each component; 3 (enough categories) for sentence structure; and 2.55 (enough categories) for EyD use; and (c) the percentage of classical completeness is 75%, ie 15 students have finished out of 20 students. The remaining 5 students have not completed the KKM, which is 75. Also, several things are also worth suggesting, namely: the principal to provide opportunities for teachers to apply modeling methods; and teachers can try modeling methods for learning other language skills.
COPECO: a Collaborative Post-Editing Corpus in Pedagogical Context

COPECO is a joint project between Geneva University and Liege University, with three mainobjectives: 1) to collect post-edits produced by students and teacher corrections, 2) to build an open-source student post-editing corpus and 3) to help systematise the task of translation error annotation (O'Brien, 2011). It provides translation teachers with an online post-editing platform, designed to help them to annotate student post-editing tasks using a shared or personalised annotation scheme.
THE IMPLEMENTATION OF DIRECTED READING AND THINKING ACTIVITY (DRTA) STRATEGY TO IMPROVE STUDENTS READING COMPREHENSION (An Experimental Research at the Second Grade Students of MTs AlFathaniyah Kota Serang in the Academic Year of 2018/2019)

MASTIYAH. 142301646. 2018. “The Implementation of Directed Reading and Thinking Activity (DRTA) Strategy to Improve Students’ Reading Comprehension” (An Experimental Research at the Second Grade of MTs Al-Fathaniyah in Academic year 2018/2019). Understanding research Paper, English, Education Department, Faculty of Education Teacher Training, Islamic University of Sultan Maulana Hasanuddin Banten. Advisers Dr. H. Abdul Mu‟in S.Ag. M.M and Drs. H. Busthomi Ibrohim, M.Ag. This study aims to improve reading comprehension with recount text through DRTA strategy on eighth grade student of MTs Al-Fathaniyah Serang-Banten. this type of research is an Exerimental Research. This research conducted based on the main problem: 1) How are the students‟ skill in reading English Recount Text at the second grade of MTs Al-Fathaniyah? 2) How is the implement of Directed Reading and Thinking Activity (DRTA) Strategy to improve student‟s reading comprehension on recount text at the second grade of MTs AlFathaniyah? In reference to the mentioned research problem, this research aimed at 1) To know the student‟s skill in reading English Recount Text at the second grade of MTs Al-Fathaniyah. 2) To examine the implement of Directed Reading and Thinking Activity (DRTA) student‟s reading comprehension on recount text at the second grade of MTs Al-Fathaniyah. To answer the research question, the writer takes class VIII B, as experimental class which consists of 30 students. The class VIII C as control class which also consists of 30 students. Since the writer uses experimental method, the data is gathered through pre-test and post-test. The result of anlysis of the research shows that the value of to is (3,52), which is higher than tt with level of significance 5% (1,67) or with level of significance 1% (2,38), reject H0 which means there is no the influence of using DRTA to improve students‟ reading comprehension on recount text and accept Ha which means there is the influence of using DRTA to improve students‟ reading comprehension on recount text.
A Research on the Application of the Cultural-Image-Frame-Network Based on Big-data Framework to the Overseas Employment Program

This research is an experiment to apply the Cultural-Image-Frame-Network (CIFN) based on a Big-data framework to an overseas employment program. The CIFN has been made with a purpose to enhance the language education efficiency by comparing visual cultural elements which are extracted from the big data based language corpuses and image search engines. With the recent crisis of Coronavirus, many overseas employment programs which the Korean government which has been pushing ahead with a purpose to promote youth employment is in crisis, especially, with the shortage of on-line language education contents. In this paper, we suggest the CIFN as a tool to help overseas employment trainees to broaden and deepen their understanding about the culture of each target country, as well as improve their command of language.
Brief Introduction on 2D Image Quality Assessment

In this chapter, a brief introduction about 2D image quality assessment is given. Firstly, some public image quality databases are introduced which provide ground-truth information for training, testing and benchmarking. Secondly, IQA performance metrics including SROCC, KROCC, PLCC and RMSE to compare the accuracy of different IQA methods are provided. Finally, the general frameworks of 2D IQA methods containing full-reference (FR), reduced-reference (RR) and no-reference (NR) are illustrated based on specific algorithms.
From the epistolary heritage of the editors of “Ukrainskaya zhizn’” magazine (1912–1917) (Moscow)

The article provides an overview of the letters of the editors of “Ukrainskaya zhizn’” (“Ukrainian Life”) magazine (1912-1917) (Moscow) A. Salikovsky and S. Petlyura, stored in the Archive of the Russian Academy of Sciences (RAS) and federal archives. The letters contain information about the activities of the editorial, cooperation with the editors of a Moscow magazine called “Golos Minuvshego” and the newspaper “Russkie Vedomosti”, as well as the editorial activities of A. Salikovsky before moving to Moscow. Of particular interest are the letters addressed to academician V. Vernadsky, academician F. Korsh, “a friend of Ukrainians”, who collaborated with the editorial, to P. Milyukov, the chairman of the fraction in the party Narodnaya Svoboda (“People’s Freedom”) in the State Duma. The article uses both published and unpublished letters from 1908, 1910, 1912-1915. The publication introduces new documentary sources about the activities of the editors of “Ukrainskaya zhizn’” magazine into scientific circulation and may be of interest to historians, researchers of the biography of A. Salikovsky and S. Petlyura.
Deep learning based state estimation and modeling dynamic system using Kalman filter

In recent trends predicting and modeling a time varying system is necessary in order to reduce the processing time. State estimation and prediction of the dynamic system is successfully implemented using Kalman filter. Deep learning is one of the promising technologies which produce an improvement in accuracy, reduction in processing time after sufficient training. Hence the performance of the state estimation and modeling the system can be improved by applying deep learning along with existing method. In our paper, we are proposing a method for implementation of existing state estimation along with deep learning architecture. In general our proposed can be applied in time series forecasting, network routing, communication and image processing applications.
Threat Awareness in Agile Environments : Creating a Developer-Driven Threat Modeling Process for Agile Software Development Teams

Agile principles for software development are now the industry standard for innovative projects. Agile is often hailed for being flexible, but there is also a commonly held 'truth' that agile princ ...
A Recommendation system for News Push Notifications- Personalizing with a User-based and Content-based Recommendation system

The news landscape has changed during recent years because of the digitization. News can nowadays be found in both newspapers and on different sites online. The availability of the digital newspape ...
PERCEIVED INFLUENCE OF M-LEARNING ON THE TEACHING AND LEARNING OF BUSINESS EDUCATION COURSES IN NATIONAL OPEN UNIVERSITY OF NIGERIA STUDY CENTRES

The study was undertaken to investigate the perceived influence of m - learning on teaching and learning of business education courses in National Open University of Nigeria study centres. The researchers employed a descriptive survey research design. The study population consisted of 656 subjects made up of students and facilitators of business education programme in the two study centres in Kwara State. A sample of 248 respondents was drawn proportionately from the two study centres based on size. Two structured question naires were used; one for students, the other for the facilitators.. The instrument was validated by three Business Education experts The questionnaire was structured on 4 - points rating scale of High Extent (HE) for 4 points, Moderate Extent (ME) for 3 poi nts, Low Extent (LE) for 2 points, No Extent (NE) for 1 point. The data obtained were analysed using frequency, percentages, mean and standard deviation to answer the research questions. T - test statistics was used to test the null hypotheses at 0.05 level of significance. The findings of the study revealed among others that teaching and learning with mobile devices and platforms were perceived by business education students and their facilitators to have salutary influence on teaching and learning. Based on the findings it was concluded that teaching and learning with mobile devices and platforms positively influence student - facilitator interaction, which enhances teaching and learning of business education students. The study recommended the wholesale adopt ion of m - learning for online educational programmes.
Malware and anti-malware baseline: An inductive study of Ghanaian microfinance companies

Prior research has shown that malware incidents and anti-malware deployment increasingly grows worldwide with Ghana not being an exception. This research focused on determining the malware and anti-malware baselinewithin the Ghanaian microfinance sector as a means of obtaining better knowledge of the phenomena for the purpose of addressing the growing challenge. The approach was sequential exploratory with subsequent simultaneous triangulation of qualitative and quantitative data. The results obtained and analysis of the results show that within the context of malware baselining, viruses are the most common malware infections yet there are relatively little consequences experienced with the infections. Third party mobile devices, laptops and computers tend to be the most infected systems within the Ghanaian microfinance industry and the most challenging threat that has not been properly countered is the advanced persistent threat. In the antimalware setting, the rate of  effectiveness of the current anti-malware protection is predominantly above average or average at minimum given their primary objective of  efficacy as the basis for purchase.Key Words: Malware, Anti-Malware, Micro-Finance, Companies, Baseline
LibGuides: Lexis Digital Library for the Public: Accessing the Lexis Digital Library via Mobile App

This guide provides an overview of the Lexis Digital Library and how the public can gain access to it.
The Effects of Financial Integration, Trade Openness, and Financial Development on Macroeconomic Volatility

This study aims to examine the effect of financial integration, trade openness and financial development on macroeconomic volatility using a sample of 40 countries that are divided into developed and developing countries in the 2001-2015 timeframe. Research results tested using Generalized Method of Moments (GMM) show that financial integration and financial development have a positive effect while trade openness has a negative effect on macroeconomic volatility.
Analisa Data Mining Menggunakan Frequent Pattern Growth pada Data Transaksi Penjualan PT Mora Telematika Indonesia untuk Rekomendasi Strategi Pemasaran Produk Internet

Utilizing a lot of stored sales transaction data can provide useful knowledge in making policy and business strategy for PT Mora Telematika Indonesia. To realize the things can be applied with the Market Basket Analysis. Association Rule is a data mining technique which is a procedure in the Market Basket Analysis to find the knowledge of consumer purchase patterns. This pattern can be an input in making business policies and strategies. A pattern is determined by two parameters, which are support (supporting value) and confidence (value of certainty). In this study, the Market Basket Analysis used a Frequent Pattern Growth (FP-Growth) algorithm to find patterns by implementing TREE data structures or called FP-Tree. One of the patterns resulting from the analysis of data on sales transactions in the period of January 2018 to April 2018 is 7 Association rules with the highest lift ratio value is if there is an installation of OxygenHome 25-Super Double Then there will be installation OxygenHome 15-Super Double with elevator ratio 4.59%, support value of 3,125%, and confidence value 0.67%.