Reviewerly/exHarmony huggingface dataset:
Cultural Capital and Educational Performance of Brahman/Chhetri Students

Why Brahman/Chhetri students are high achievers in secondary education in Nepal is rarely analyzed. For their educational success, people attribute to their cultural capital. A qualitative method was employed to assess whether the assumption is valid or not. In the course of assessment, researcher generated information from secondary and primary sources and analyzed them. The findings show that the Brahman/Chhetris are rich in cultural capital, which is instrumental for their better performance in formal education. However, empirical evidence has led the researcher that the argument is valid partly. Due to globalization combined with other factors such as class, education, and growing cultural exchange, the influence of cultural capital to their educational achievement has been found weak. Therefore, the stereotypical generalization is not necessarily true at present, among the research participants.
Analysis of Digital Data by File Signature Method on Android Version 9

Objective: The use of smartphones has exponentially increased over the past decade. Nowadays the use of a cellphone has not just been restricted to make calls, but it's also actively used to connect people throughout the globe through social media and sharing multimedia files over the internet. Smartphones have made these things possible and easily available with just a single touch. But along with this development and digitalization, an increase in the rate of cybercrime has also surfaced, which includes crime like illicit possession, distribution, and modification of multimedia files. Hence, smartphones are seen as a rich source of evidence-based on the crimes discussed. This process is carried out to analyze smartphone‟s multimedia files to determine their origin and to verify if the multimedia files originated from the same device or transferred through any process. Methods: An examiner must analyze, recover, and authenticate the files stored in a smartphone device. Android version 9 was used for analysis since it is the most common and abundant platform generally found in most people‟s phones. Examination of computer file is achieved by analyzing the file in hexadecimal editor software, the software used in this analysis is HxD. Results: File signature and metadata analysis of smartphones‟ multimedia files was performed to render the source of the files. Conclusion: The conducted file signature and metadata analysis clearly stated that by using hexadecimal editor softwareHxD origin and source of smartphones‟ multimedia file can be rendered.
Knowledge Graph Inference using Tensor Embedding

Axiom based inference provides a clear and consistent way of reasoning to add more information to a knowledge graph. However, constructing a set of axioms is expensive and requires domain expertise, time, and money. It is also difficult to reuse or adapt a set of axioms to a knowledge graph in a new domain or even in the same domain but using a slightly different representation approach. This work makes three main contributions, it (1) provides a family of representation learning algorithms and an extensive analysis on eight datasets; (2) yields better results than existing tensor and neural models; and (3) includes a provably convergent factorization algorithm.
PENINGKATAN KETERAMPILAN MENULIS KARANGAN DESKRIPSI MELALUI STRATEGI KREAKTIF PRODUKTIF DENGAN MEDIA GAMBAR PADA SISWA KELAS V SD 4 PIJI

The general objective of this study is to improve the writing skills of descriptive essay for students of grade V SD 4 Piji students. The specific purpose of this study is to increase the activeness of students in learning to write descriptive essays by using productive creative learning strategies with pictures media for students of grade V SD 4 Piji, increasing the learning outcomes of writing descriptive essays through the use of productive creative learning strategies with pictures media for students of grade V SD 4 Piji. This class action research was carried out for two cycles. The research subjects are teachers and students of grade V. The results showed that student activities increased, namely 83% in the first cycle with a very good category and 86% in the second cycle with a very good category. In addition, students' skills in descriptive writing was increased, namely 86% with a very good category in the first cycle and 92% in the second cycle with a very good category. The conclusion of this research is by applying Productive Creative Strategy with Pictures Media can improve student learning activities, and descriptive writing skills of students in grade V SD 4 Piji. Researcher's suggestion is that teachers should apply the latest / innovative approaches, methods, models and learning strategies in accordance with the learning materials, one of which uses Productive Creative Strategies with Pictures media.
Intent Segmentation of User Queries Via Discourse Parsing

In this paper, we explore a new approach based on discourse analysis for the task of intent segmentation. Our target texts are user queries from a real-world chatbot. Our results show the feasibility of our approach with an F1-score of 82.97 points, and some advantages and disadvantages compared to two machine learning baselines: BERT and LSTM+CRF.
A Coarse-to-Fine Registration on 3D Multi-Phase Abdominal CT Images

Registration is a technical support for the integration of nanomaterial imaging-aided diagnosis and treatment. In this paper, a coarse-to-fine three-dimensional (3D) multi-phase abdominal CT images registration method is proposed. Firstly, a linear model is used to coarsely register the paired multiphase images. Secondly, an intensity-based registration framework is proposed, which contains the data and spatial regularization terms and performs fine registration on the paired images obtained in the coarse registration step. The results illustrate that the proposed method is superior to some existing methods with the average MSE, PSNR, and SSIM values of 0.0082, 21.2695, and 0.8956, respectively. Therefore, the proposed method provides an efficient and robust framework for 3D multi-phase abdominal CT images registration.
The Influence of English Language and Literature on College Students’ English Acquisition Ability

The English classrooms of colleges and universities in our country require teachers to pay attention to knowledge explanation, and also need to focus on training students’ learning ability, in order to have strong language practice ability and application ability. With the current prevalence of English language and literature, many teachers have made corresponding innovations in the teaching content through the study of their values, in order to help students better complete the improvement of learning ability. Therefore, the author mainly analyzes from English language and literature, how to better help college students to improve their acquisition ability, hoping to effectively arouse their enthusiasm in the process of learning and ensure the high-quality completion of classroom teaching activities.
The method of search for falsifications in copies of contractual documents based on N-grams

This article is focused on methods of search for falsifications in scanned copies of business documents. This task arises from a comparison of two copies of business documents signed by two parties. The comparison should be performed to detect possible changes made by one of the parties. This problem is relevant, for instance, in the banking sector when signing agreements on paper. The method of partial search for matching flexible documents, where text attributes may be changed, and unintentional modifications of non-essential words may be made is considered. The method of comparison of two scanned images based on the recognition and analysis of N-grams word sequences is proposed. The proposed method has been tested on private dataset. The proposed method has demonstrated high quality and reliability of the search for differences in two samples of one agreement-type document.
MENINGKATKAN MINAT BELAJAR SISWA DENGAN PAKEM MENGGUNAKAN APLIKASI ENGLISH CHILDREN DALAM PENGENALAN BAHASA INGGRIS

As educators in the era of globalization in welcoming the millennial era, it is very necessary to update learning methods equipped with learning media that are suitable for learning needs, in this case PAKEM learning uses the "English Children" application as a support in learning such as LCD projectors, English Learning applications, Kamusku, Team Viewer It is hoped that it can arouse students' interest in learning English so that they can improve their ability to describe English texts and increase the value of English in text descriptive material. This research is classified as a Classroom Action Research with planning stages (acting) with observation (observing) and reflection (reflecting) which are combined, in this study 3 cycles. The initial findings 1) Students are hyper active in class, 2) Students tend to think English is difficult and boring, 3) English is not an important subject, 4) English language proficiency is still far from average (far from KKM). In the first cycle of 29 students, none of the students could write descriptive text, after this activity was carried out in 3 cycles, Based on the results of tests and reflections from cycles 1, 2 and 3, Pakem learning using the "English Children" application can arouse student interest in learning so that students are able to describe objects seen in English either orally or in writing.
A Study on the Effectiveness of Viewer-Media Center

Recently, new media such as YouTube and AR/VR have emerged, and media content has become more complex and diversified. To respond to the new media environment, the Korean government wanted to increase people's access to media and to enhance their ability to utilize it through the establishment of viewer-media center. In this paper, based on the score of media literacy, education programs of the viewer-media center were verified to provide their effectiveness. This paper also suggests and comments on the programs that the viewer-media center should focus on by comparing and analyzing the efficacy among educational programs.
Shapley-Lorenz Decompositions in eXplainable Artificial Intelligence

Explainability of artificial intelligence models has become a crucial issue, especially in the most regulated fields, such as health and finance. In this paper, we provide a global explainable AI model which is based on Lorenz decompositions, thus extending previous contributions based on variance decompositions. This allows the resulting Shapley Lorenz decomposition to be more generally applicable, and provides a unifying variable importance criteria that combines predictive accuracy with explainability, using a normalised and easy to interpret metric. The proposed decomposition is illustrated within the context of a real financial problem: the prediction of bitcoin prices.
THE INFLUENCE OF READING INTEREST ON ACHIEVEMENT MOTIVATION OF ENGLISH LITERATURE STUDENTS OF BINA DARMA UNIVERSITY IN PALEMBANG

Reading interest becomes one of the most substantial issue in the latest research nowadays. This research aims to investigate the influence of reading interest on students’ achievement motivation of the undergraduate students of English Literature Study Program of Bina Darma University in Palembang. To achieve the aim, the questionnaires of reading interest and achievement motivation were administered to a group of 60 students who became the sample of the study. The questionnaires before had been piloted to other students out of the sample in order to check the validity and reliability. To analyze the data, path analysis was used and the result showed that there was a positive direct effect of reading interest on English literature students’ achievement motivation with the coefficient value 0.449. In addition, the magnitude of the direct effects of reading interest on students’ achievement motivation was 20.2%. Finally, the interpretation, implications and recommendation of the results were also discussed. Keywords : Reading Interest, Achievement Motivation, English Literature Students
The heart of invention

PODCAST: Replacing or assisting the human heart with a machine would save countless lives.&#160;But the quest to build an artificial heart has had many gruesome missteps and caused researchers to reimagine how to keep our blood flowing. (Season 1/Episode 2)
IMPLEMENTATION OF DIVIDE AND CONQUER IN THE HANOI TOWER GAME

Artificial Intelligence (AI) is a technology in the field of computer science that simulates human intelligence into computers to solve various problems and jobs as well as humans do. Games / games are an implementation of the field of computer science which also embraces the concept of AI. In the midst of the rampant types of games available, the author chose the Hanoi Tower which is a mathematical game / puzzle that requires logic. Players are challenged to complete in a short time with a certain number of discs. The benefit of this game is that it can train how to think with certain patterns so as to improve the memory of players. To make it easier to solve it, the Divide and Conquer Algorithm can be used which can solve problems in the Tower of Hanoi game by breaking them down into sub-problems which will later be able to help speed up finding solutions. From the results of testing the application of the Divide and Conquer Algorithm in the hanoi tower game application by solving the disk arrangement problem. Players can finish the game in a large number of plates in a short time. Keywords – Artificial Intelligence, Divide and Conquer Algorithm, Games, Tower of Hanoi.
A novel hybrid machine learning-based frequent item extraction for transactional database

In big data, the frequent item set mining is an important framework for many applications. Several techniques were used to mine the frequent item sets, but for the collapsed and complex data, it is difficult. Hence, the current research work aimed to model a novel Frequent Pattern Growth-Hybrid Ant Colony and African Buffalo Model (FPG-HACABM) is developed to overcome this issue and to reduce the execution time. Moreover, the Fitness function of HACABM is utilized to calculate the support count of each item and to improve the classification accuracy. Thus the proposed models classify the frequently utilized items accurately and arranged those items in descending order. This helps to run the big data transactional application effectively without any delay. Finally, the key metrics are validated with the existing models and better results are attained by achieving a high accuracy rate of 99.82% and less execution time of 0.0018 ms.
Application of foveal rendering technology to optimize the performance of complex scenes of virtual historical reconstruction

Authors examine a problem of increasing a frame rate during highload scenes rendering for virtual historical reconstruction of Bely Gorod. The reconstruction is designed to be rendered using a virtual reality headset. To improve performance, authors implemented a foveated endering technique. It allows to display in high resolution only the area of the scene that the user is currently looking at. A new gaze tracking system was developed and tested, and frame rates were compared for the Bely Gorod scene.
The Effect Of Using STIFIn Method In Teaching SpeakingEnglish Conversation At The Tenth Grade Of SMK Bina Satria Medan

The researcher interested to conduct the effect of STIFIn method in teachingspeaking English conversation to improve students’ speaking ability at the tenthgrade of SMK Bina Satria in academic year 2020/2021. This research wasconducted with quasi experimental design. It involved 20 students of X TKJ-2 inexperimental class and 20 students of X TKJ-3 in control class. The researcher gavea test consisting of pre-test and post-test. From the analysis showed that tobserved inexperiment class is higher than ttable (6.022 > 2.093) and tobserved in control class ishigher than ttable 3.323 > 2.093. So Ho is rejected and Hais accepted. It means thatthere is a significant effect in students’speaking English conversation ability at thetenth grade especially at SMK Bina Satria. It means that Hypothesis alternative isaccepted and null hypothesis is rejected. The rate percentage of score inexperimental class proved there is improvement before and after applying of STIFInmethod. From the result, there are 2 (10%) students achieved excellent score, from9 (45%) students achieved very good score, 7 (35%) students achieved good score,2 (10%) students achieved average score, and no student achieved poor score
A Research in Muhammadiyah University of Enrekang: The Human Reseources Management and Human Capital in Educational Institution

This research discussed about the teaching of languages to speak Indonesian well and correctly through speaking aspects and language elements in various contexts. This research focused the researcher was intrigued to carry out an experiment on the learning-teaching strategy of pragmatics and to know the students’ achievement level in Indonesian who were taught by using pragmatics and those who were taught without using pragmatics, particularly the first semester students of Muhammadiyah University of Enrekang.  The research was an experimental research whose samples consisted of 55 students taken by using random sampling out of the population whose number was 578 students. The scientific fact found in this research showed that the learning-teaching strategy of pragmatics is one of the approaches that can be taken into consideration to be developed and socialized to Muhammadiyah University of Enrekang lectures. The results of the research showed that there is a difference in the students’ learning achievement in Indonesian between those who were taught by using pragmatics and those who were taught without using pragmatics. The data for the students’ learning achievement in Indonesian were collected by using the instrument in the form of a test carried out before and after the treatment. Those data were analyzed by using descriptive and inferential statistic analysis.  Most of the functions used of the originality of this study of the learning-teaching processes of Indonesian in general and the students’ learning achievement in Indonesian in particular can be maintained and promoted in the effort of making the students fluent and familiar with the use of Enrekang daily.
Mobile Application for Computer Laboratory Maintenance in Institute of Informatics and Business (IIB) Darmajaya

The problem statement of this study was that checking and monitoring process in the computer laboratory of Institute of Informatics and Business (IIB) Darmajaya was less optimal because it was still carried out manually. This caused a difficulty for the head and assistants of the computer laboratory because the written data on paper were vulnerable, and easy to lose and scatter. According to this problem, an application was needed not only for the assistants of the computer laboratory who used it to record the checked-list data but also for the head of the computer laboratory who used it to monitor the readiness of the laboratory in real time. It was expected that the application was able to facilitate the checking and monitoring process for the assistants of the computer laboratory. Moreover, the application was expected to facilitate the head of the computer laboratory to monitor the readiness of the computer laboratory by looking at checked lists data stored in the database. Keywords: Monitoring, Real Time, Computer Laboratory
PENGEMBANGAN APLIKASI PEMBELAJARAN TUNANETRA (APTUN) BERBASIS TEKNOLOGI ASISTIF UNTUK PENCARIAN KONTEN PEMBELAJARAN MAHASISWA TUNANETRA

Blind students have barriers and unique learning styles compared to other regular students. The fundamental difficulty is the absence of accessible content and tools that can help facilitate learning, including in the final project of blind students. The Blind Learning Application wants to accommodate the learning gaps experienced by blind students in the PGRI Yogyakarta University environment. Assistive technology in APTUN to find references that combines speech to text, Non Visual Desktop Access and text to speech that can be accessed online is one of the driving forces for fulfilling the needs and services of inclusive education at Universitas PGRI Yogyakarta through effective and efficient learning based on needs special education and services for students with visual impairments.
EDS-MEMBED: Multi-sense embeddings based on enhanceddistributional semantic structures via a graph walk

Several language applications often require word semantics as acore part of their processing pipeline either as precisemeaning inference or semantic similarity. Multi-senseembeddings (M-SE) can be exploited for this importantrequirement. M-SE seeks to represent each word by theirdistinct senses in order to resolve the conflation of meaningsof words as used in different contexts. Previous works usuallyapproach this task by training a model on a large corpus andoften ignore the effect and usefulness of the semanticrelations offered by lexical resources. However, even withlarge training data, coverage of all possible word senses isstill an issue. In addition, a considerable percentage ofcontextual semantic knowledge is never learned because a hugeamount of possible distributional semantic structures are neverexplored. In this paper, we leverage the rich semanticstructures in WordNet using a graph-theoretic walk techniqueover word senses to enhance the quality of multi-senseembeddings. This algorithm composes enriched texts from theoriginal texts. Furthermore, we derive new distributionalsemantic similarity measures for M-SE from prior ones. We adaptthese measures to the word sense disambiguation (WSD) aspect ofour experiment. We report evaluation results on 11 benchmarkdatasets involving WSD and Word Similarity tasks and show thatour method for enhancing distributional semantic structuresimproves embeddings quality on the baselines. Despite the smalltraining data, it achieves state-of-the-art performance on someof the datasets.
Study of Fuzzy Controllers Performance: Application on Embedded Systems

Nowadays the industrial field is testing more robust controllers to deal better with complex control processes, to guarantee high reliability and efficiency. In this context, this work aims to present the design of a Fuzzy Controller embedded in an Arduino Mega microcontroller, taking 2 experimental didactic plants into consideration: a resistor-capacitor circuit and a direct current motor assembly. Then, the Fuzzy Controller will have its effectiveness and also be compared with other topology: the parallel PID controller. In addition, an interesting study is done when the storage capacity of routines in the Arduino board is considered, regarding the dynamic memory when new membership functions and rules are increased. The Fuzzy controller was embedded obtaining satisfactory results when compared to the PID controller, taking non-intrusive performance indices as validation parameters.
Efficient Implementations of Gauss-Based Sieving Algorithms

The security of lattice-based cryptosystems in postquantum cryptography is mainly based on the difficulty of solving the shortest vector problem (SVP) or the closest vector problem (CVP). In this paper, efficient implementations of GaussSieve and ProGaussSieve algorithms alternatives to solve the shortest vector problem are studied. A cryptographic software library is developed which is an infrastructure for the implementation of sieving algorithms in order to have faster running times than the ones in the literature. In addition, a comparison table including the running times of the implementations of GaussSieve and ProGaussSieve algorithms is presented. According to the experimental results, the proposed GaussSieve and ProGaussSieve implementations are much more faster and efficient than the others.