Reviewerly/exHarmony huggingface dataset:
Determining Factors for Success Use of e-Learning in Learning Process in College

This research was conducted to determine the use of e-Learning that was conducted by students in College. The main purpose of this research was to find out the factors that make up e-learning successfully used in teaching learning in College. The variables in this study were e-Learning Quality, Information Quality, Use of e-Learning, User Satisfaction and Success of e-Learning. The respondents in this study were active students who used e-learning in their teaching and learning process. The number of respondents in this study were 206 respondents. The respondents in this study were students who use e-learning in teaching and learning processes in College around Pekalongan residency. The data processing in this study used the SmartPLS 3.0 tool. The results of this study showed that the quality of e-learning affects user’s satisfaction and use of e-learning. Furthermore, the quality of information generated from e-Learning only affected user’s satisfaction but it did not affect the use of e-learning. The successful use of e-learning was effect by user’s satisfaction and use of e-learning.
Diachronic analysis of the f-words in English song lyrics: A computational linguistics perspective

This diachronic study explores the linguistics phenomena of the verb f-word in English song lyrics across genres and time via various corpus computational tools. This study has three chief objectives; to identify the viability of using computation tools to generate a diachronic corpus across time and genres; second, determine the frequency distributions of f-word, and finally, analyze the uses of f-word in the Diachronic Corpus of English Song Lyrics (DCOESL). Quantitative and qualitative methods were employed for this study. The data were generated and analysed via AntConc, CLAWS part-of-speech taggers and UCREL Semantic Analysis System English tagger. The frequency distributions of f-word and its collocations were then compared to reference corpora; BNC and COCA. Four statistical tests of significance namely Chi-square, Log-likelihood, Mutual Information and t-score were administered to test statistical difference within DCOESL and between the corpora. The findings reveal that corpus computational tools provide a priceless opportunity to test and challenge our existing intuition about the language. More importantly, it has provided an avenue for researchers to explore languages across time. Additionally, the study shows that f-word in English song lyrics experiences ascending trend since the 1980s, with highest occurrences in R&B. It exhibits that the highest occurrences of verb f-word reflects social actions and a high preference for simple present tense, and simple sentence structure. These features have led to a conclusion that song lyrics resemble spoken English, particularly the conversation register.
Analysis on transient power disturbance detection and characterization

Several methods of transient power disturbance detection are presented in this paper. The methods are used to detect disturbances and extract features and the results of simulation indicate respectively their characteristics. Fast Fourier transform can identify accurately frequency information of stable signals. Wavelet transform can detect discontinue points of signals. S transform can extract time domain and frequency domain features of signals. TLS-ESPRIT algorithm has high extremely frequency resolution, which can process the disturbance signals of several close frequency components.
PENGARUH LAYANAN SISTEM INFORMASI AKADEMIK (SIAKAD) TERHADAP TINGKAT KEPUASAN MAHASISWA

This study aims to determine how much influence the Academic Information System Service (SIAKAD) has on the level of student satisfaction of the Tarbiyah Department of STAI Sangatta East Kutai. The population in this study were all students majoring in Tarbiyah STAI Sangatta East Kutai, totaling 414 students. Researchers took random sampling so that a sample of 80 students was obtained. This study uses quantitative methods. In collecting data, a questionnaire was used to find out data about academic information system services (Siakad) and satisfaction. Furthermore, the researcher's data analysis technique used a simple Linear Regression formula. The results of the simple linear regression test in this study obtained a constant value (a) of 40,833 which contained that the consistent value of the SIAKAD service variable was 40,833, while the value of student satisfaction (b/regression coefficient) was 0.361, so the simple linear regression equation could be written Y= 40,833+ 0.361X which means that the effect of variable X on variable Y is positive. In the ANOVA table results of simple regression analysis, a significance value of 0.000 &lt;0.05 is obtained and it is known that the count value in the coefficient table of the simple linear regression analysis test is 5.902 &gt; the table value of 1.66, which means that the SIAKAD service variable (X) has an effect on student satisfaction variables ( Y). In the summary table of the simple linear regression analysis test model, it is obtained that a value (R) of 0.556 has a significant effect and an R Square value of 0.309 which means that this study has a positive effect of 30.9% or rounded up to 31%.
Pengembangan Media Pembelajaran Berbasis Aplikasi Android Pada Pembelajaran IPA Kelas V Sekolah Dasar

The purpose of this development is to produce a product of Android-Based Learning Media on Water Cycle Material Science Learning that is valid and effective. This development has gone through several stages, namely the stages of needs analysis, design, development, implementation, and evaluation in accordance with the development model. Product validation was carried out to media experts, material experts, and instructional experts. The target of the trial was the fifth grade elementary school students. Based on validation trials conducted by media experts, the media validity level is 85%. Trials by material experts get a validity level of 97.5%. The trial by instructional experts got a validity level of 88.3% and the validity level of students was 81.75%, it was concluded that the learning media developed was included in the valid and effective category in learning activities.
Graphical User Interface Model Development

MATLAB has a number of graphical user interface (GUI) tools and functions that can be employed while building GUI models, either by using the GUI tools or by writing scripts. In this chapter, we cover how to build GUI models with the GUI development environment (GUIDE) and how to write scripts to generate pop-up and dialog boxes.
A new burst error correcting method for Reed-Solomon codes based on composite parity-check matrices

This paper presents the construction method of composite parity-check (CPC) matrices and a new burst error correcting method for (n, k) Reed-Solomon (RS) codes based on CPC matrices. The proposed method is capable of finding burst error locations by only locations of symbol 0s of syndromes computed by CPC matrices and evaluating the corresponding error magnitudes using CPC matrices. The simulation results show that the proposed method can correct burst errors for the codes with the rate less than about 0.75 with lower complexity and correct burst errors of length up to n - k - 1 and burst erasures of length up to n - k.
Workshop Pembuatan PPT Interaktif Menggunakan Aplikasi Canva di UPTD SDN Pangeranan 1 Bangkalan

Microsoft office powerpoint provides slide facilities to accommodate talking points that will be conveyed to students. With animation facilities, each slide can be modified very attractively. Likewise with the facilities: front picture, sound, and visual effects that can be used to make good and attractive slides so as to accommodate the learning modalities of students. This program can accommodate students who have audio, visual and kinesthetic types. Canva is an online design program that provides a variety of tools such as presentations, resumes, posters, pamphlets, brochures, graphics, infographics, banners, bookmarks, bulletins, and so on that are provided in the Canva application. The purpose of this service is a workshop on making interactive ppt using the Canva application. This workshop was conducted for UPTD SDN Pangeranan 1 Bangkalan educators. Community service activities are carried out through several stages of activities, including: Preparation and Briefing, Implementation, and Program Sustainability Planning. After the workshop, educators are able to create interactive PPT using the Canva application that is interesting and fun for students.
Spatial-based Bayesian Hidden Markov Models with Dirichlet Mixtures for Video Anomaly Detection

Increased needs for social security promote the development of video surveillance, appealing to the exigency of real-time detection of anomalous events. Considering the rarity and unpredictability of anomalous events, a classical strategy is to model normal data and detect outliers to the model. As a fundamental generative model for time series data, Hidden Markov models (HMM) have been employed in various fields such as speech recognition and video analysis. In this paper, we propose the use of Bayesian HMMs with Dirichlet mixtures which are arrayed along patched frames with Dirichlet distributions as emission probability functions. These spatially-aligned HMMs evolve in parallel, significantly reducing inference time. Learning algorithm based on Stochastic Variational Inference and Discrete Variable Enumeration is applied to our model for fast and robust inference. Experiments over the public UCSD dataset demonstrate the validity of this approach.
HUBUNGAN TINGKAT EKONOMI ORANG TUA DENGAN PRESTASI BELAJAR SISWA KELAS V SD

The problem in this study is that the economic level of different parents has a relationship with the learning achievement of fifth grade students in SD Gugus 4, Sibulue District, Bone Regency. Because parents who have a high economic level can meet the school needs of their children, as well as parents with lower economic levels do not pay attention to the school needs of their children because many basic needs must be met. The approach used in the research is a quantitative approach. The type of research used is descriptive research that is correlational. The data analysis technique used is Jaspen's correlation analysis technique. The results showed that the economic level of the parents of fifth grade elementary school students in Sibulue District, Bone Regency, was in the middle category or middle class, namely 57 students with a percentage of 85.07%. The learning achievement of fifth graders of SD Cluster 4, Sibulue District, Bone Regency is in the medium category, namely 45 students with a percentage of 67.16%. Then based on the results of inferential statistical analysis using the jaspen correlation of rcount (0.4182) rtable (0.2027) thus H0 is rejected and H1 is accepted. From the results of the study, it was concluded that there was a significant relationship between the economic level of parents and the learning achievement of fifth grade elementary school students, Sibulue District, Bone Regency.
Policies to support Open Source and Open science

This conference on open science is covering many aspects of strategic relevance to build the future of Europe, a future based on knowledge leading to more opportunities for younger generations to express their talent in attractive research careers, be it in universities, research organisations or industry.Some sessions will be dedicated to discussing the assessment of research and researchers' performance, which affects their behaviours.This debate is timely and justified.Most researchers are used to measuring in their labs when collecting and processing data.Scientists have to measure with accuracy to produce reliable and verifiable results.The Nobel laureate Richard Feynman started one of his famous lectures challenging his students about the complexity introduced over the centuries by using different measurement units.Measuring research and researchers' performance is of a different nature and more complex in many ways.It has direct impact on people and a far-reaching policy dimension for the European Research Area.We therefore agree on the need to ensure objectiveness and fairness as guiding principles and we can use assessment methodologies to support broader policy objectives, considering that we live in times of change, including in the scientific methods and the public perception of the role of science.Research processes are in constant evolution, accelerated by the current pandemic and the transition to a resilient, green and digital economy and an inclusive society.The variety of activities making increased use of advanced technologies puts us in a situation where research deliverables are richer and not limited to delivering and counting publications.Modern science delivers other outputs, mostly digital, like datasets, software, algorithms or protocols, and it delivers highly skilled people through specialised education and mentoring.Multidisciplinary collaborations are required to address new scientific questions arising from increased complexity and that is another aspect of this evolution.More and more researchers from different domains, from biology and physics to economics, anthropology or humanities, work together in the boundaries of areas of knowledge.One of the actions included in the first Policy Agenda for the European Research Area, for the next three years 2022-2024, is to advance towards the reform of the assessment system for research, researchers and institutions to improve their quality, performance and impact.We consulted a variety of stakeholders in 2021, including organisations representing researchers, public funders, private funders, universities, research centres, academies, national evaluation agencies and policymakers, and we received strong support for the objective of ensuring a combination of qualitative and quantitative indicators to evaluate research and researchers without compromising on objectivity and peer review.
ROLE OF SOCIAL MEDIA APPLICATIONS TO LEARN AND IMPROVE ENGLISH LANGUAGE: A STUDY AT UNIVERSITY LEVEL IN SOUTH PUNJAB, PAKISTAN

The current study shows how social media has positively affected learning and improving English language among second language learners. Social media, the gift of modern age, has proved to be one of the most important tools that has affected education in general and learning English in particular. The impact of social media on learning English cannot be denied or ignored. Students of the modern world are using various applications like WhatsApp, face book, Instagram, blogs, wikis, YouTube; twitter etc. as a matter of routine. This use of social media is consciously and unconsciously improving vocabulary, reading skill, listening skill, writing skill, lexical variation, communication skills, grammar usage etc. This thing surely leads to various teaching and learning reformations to maximize the process of learning. Pedagogical practices that use social media and modern gadgets as instructional technologies have brought about a considerable shift in learning environment. These gadgets increase automation, motivation and confidence. The learners can learn English language and even can rectify their mistakes without the help of tutor. A mix method approach has been used in the current study to examine the role of social media and social networking in learning and improving English language. A questionnaire was administered to investigate the role of social media in this respect. The Findings of the study confirmed the positive impact of social media on learning English language. On the basis of these findings, it is recommended that social media and gadgets must be incorporated in pedagogical practices to enhance the learning of English. Keywords: WhatsApp, Twitter, Instagram, OALD-iSpeaker, Facebook, Wikes.
An Ordered Aggregation-Based Ensemble Selection Method of Lightweight Deep Neural Networks With Random Initialization

Due to the popularity of 5G connectivity and The Internet of Things sensors, deep learning algorithms are being extended to edge devices. Compared with AI(Artificial Intelligence) cloud platforms, the deployment of deep neural networks on edge devices must focus on low power consumption, low latency, stability and reliability. In recent years, the development of lightweight deep neural network architecture has provided a basis for the deployment of deep neural networks on edge devices. However, the shortcomings of deep neural networks, such as overconfidence, vulnerability to adversarial attack, and easy over fitting when samples are insufficient, still limit their applications in many fields. One of the ways to compensate for these defects is to use deep ensemble. An ordered aggregation-based ensemble selection algorithm is proposed, which uses soft-margin as the importance assessment metric to take full advantage of the diversity and complementarity of lightweight deep neural networks obtained from different initialization training, so as to improve the overall performance of multiple edge devices. The experimental results show that this algorithm has a significant improvement in generalization performance compared with random ensemble and ordered aggregation algorithms based on accuracy or diversity, and provides a new complementary idea for the deployment of lightweight deep neural networks on edge devices.
CLASSROOM LEARNING ENVIRONMENT AND STUDENT WRITING STRATEGY AS PREDICTORS OF READING COMPETENCE OF SENIOR HIGH SCHOOL STUDENTS

The purpose of this study was to determine the classroom learning environment and student writing strategy as predictors of reading competence of senior high school students. Utilizing quantitative, non-experimental design via correlational technique, data were obtained from 369 respondents of the study who are students who belong to the senior high school department, particularly Grade 12 of the national high schools under the division of Davao del Sur. The researcher utilized stratified random sampling and survey mode of data collection. The researcher also utilized the statistical tools mean, Pearson r, and multiple regression. From the results of the study, it was found that there is a high level of mean scores for all variables of classroom learning environment, student writing strategy, and reading competence of senior high school students. Also, results revealed that there are significant relationships between classroom learning environment and reading competence of senior high school students and between student writing strategy and reading competence of senior high school students. Moreover, it was revealed that the classroom learning environment and student writing strategy can predict the reading competence of senior high school students and that the domains of revision, classroom positive, and planning and preparation best influence the reading competence of senior high school students.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0714/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Table information extraction and analysis: A robust geometric approach based on GatedGCN

With the rapid development of Artificial Intelligence, Optical Character Recognition(OCR) is applied to analyze and understand the contents of various images, which has a very important effect on online office and makes business more intelligent. As downstream tasks of OCR, information extraction and table analysis are indispensable for acquisition of target information. However, when the texts information are gained from an invoice image or a table image by detection and recognition methods, how to further extract necessary information from a mass of texts or to analyze table information by reconstruction method is still difficult and challenging. In the paper, based on gated graph convolutional networks (GatedGCNs), we propose a novel model to extract key information in documents and reconstruct table information from listing images. Different from manual methods, the GatedGCN-based model considers three kinds of features for the semantic entities, including the position of an entity, the box containing the entity and texts inside the box. The proposed model also considers the relationship between semantic entities, which is a key factor to improve the classification accuracy. Since the update of gated edges in GatedGCN can be treated as a new way to implement attention mechanism, the model can integrate more critical information and discard unnecessary information. Therefore, combining with the node features and the edge features we have extracted, when applying the model on key field extraction (which can be treated as node classification problems) and table reconstruction (that can be treated as link-prediction problems), the model reaches overall excellent results in terms of precision, recall, F1 score and accuracy, evaluated on Medical Invoice, Train Tickets, SciTSR, ICDAR2013 datasets.
A Framework for Multi-Variate Time Series Anomaly Detection Based on Behavioral Patterns in Electric Vehicles

Due to the gradual increase of electric vehicle ownership, the safety of electric vehicles has received more attention. Various sudden abnormalities of electric vehicle batteries, such as sudden spontaneous combustion caused by thermal runaway, can seriously endanger people's life and property. In this paper, we propose an anomaly detection and warning method based on behavioral patterns, which can effectively improve the interpretability of multiple time series analysis. Adequate experiments were also done on the real-world dataset to verify the validity of this work.
Machine Learning Fundamentals: Unsupervised Learning part 1 - Data &amp;amp; AI Reskilling Seminar slides

These slides are part of the Data & AI Reskilling seminar that presents ML and AI for banking. This lecture is introducing clustering and the various methods in AI able to accomplish clustering or segmentation
PERANCANGAN APLIKASI USER INTERFACE PEMESANAN GEDUNG OLAHRAGA (GORNESIA)

So far, reservations for sports halls have only used unsystematic social media platforms. This raises several problems, one of which the owner of the sports hall may have difficulty in managing his income. This study aims to make it easier for the public to order and system the booking process and payment for the sports hall that will be used. The method used in this study is the SWOT (Strength, Weakness, Opportunity, Threat) method. The expected result of this research is to make it easier for the public to order and system the booking process and payment for the sports hall that will be used.
The Effectiveness of Teaching Materials for Procedure Text Themed Medan Traditional Culinary for Students Class VII MTs. Aisyiyah North Sumatra

The achievement of learning objectives in the classroom depends on the creativity of the teacher as a facilitator.Planning in learning activities is the main thing that must be done so that learning can run effectively.Based on the results of initial observations made by researchers on January 26, 2021 at MTs. Aisyiyah North Sumatra, students still experience obstacles that often arise in teaching and learning activities, especially in procedural text material with an average score of 65.71.This research is included in the type of research and development (R&D).The effectiveness of teaching materials for procedure texts with the theme of Medan traditional culinary shows an increase of 17.21% from 65.71% pretest results to 82.92% posttest results.The overall results of this study indicate that the teaching materials of procedure texts with the theme of Medan traditional culinary are declared effective to be used in the learning process.
What proportion of national wealth is spent on educational institutions?

The share of national wealth devoted to educational institutions is substantial in all OECD and partner countries. In 2017, OECD countries spent on average 4.9% of their GDP on educational institutions from primary to tertiary levels ().