Reviewerly/exHarmony huggingface dataset:
The Effect of School Literacy Movement on Students’ Reading Interest and Reading Skills

The article was to determine the effect of the school literacy movement on the reading skills of the students at State Elementary School 1BrajaYekti. This type of research was ex post facto. The sample of this research was 104 students. The sampling technique used random sampling. Analysis of the data used analysis prerequisite test consisting of normality test and linearity test, as well as the final analysis test consisting of simple regression test, simple correlation test, and coefficient of determination test. The results showed that: There was a positive and significant influence between the school literacy movement on reading interest as indicated by the value of tcount &gt; ttable (6.315&gt;1.980).There was a positive and significant effect between the school literacy movement on reading skills as indicated by the value of tcount &gt; ttable (6.3397&gt;1.980).The magnitude of the influence of the school literacy movement on reading interest was 25.6%.The magnitude of the influence of the school literacy movement on reading skills was 26.1%.' Based on the results of the research conducted, it was known that the school literacy movement could increase in reading literacy atState Elementary School 1BrajaYekti.&#x0D; Keywords: School Literacy, School Literacy Movement, Reading Skills
Analysis of The Influence of Parents On Reading Interest of Fifth Grade Students In Bonang District Demak Regency

Abstract.This study aims to analyze the role of parents in reading interest of students. This research is a type of quantitative research with the number of respondents in the study of 99 fifth grade students at SD Negeri Gugus Sultan Fatah, Bonang District, Demak Regency. The method in this study is quasi experimental This study also used a non-experimental or ex post facto design. The data collection techniques used were questionnaires and documentation. Test instrument using validation test and reliability test. The results of the study is parents influenced the reading interest of fifth grade students in SD Negeri Gugus Sultan Fatah, Bonang District, Demak Regency by 312 or 31.2% and the correlation value was 0, 559. Parents' suggestions should maximize the role to foster students' interest in reading. Children will learn from their parents, so set a good example, where when children see their parents so enjoy reading and judging books can be a great inspiration, of course their reading interest can increase&#x0D; Keywords: role of parents, interest in reading
Diseminasi Media Pembelajaran Berbasis Flippbook untuk Mendukung Asyncrhonous Learning di SMP-SMA Bunda Kandung Jakarta

The purpose of this community service is to develop teaching materials to meet the learning needs of asynchronous learning. The teaching materials developed are in the form of electronic modules and electronic worksheets based on flipbooks. The service method carried out is in the form of a dissemination program whose stages are carried out in a hybrid manner. The service stages consist of the stage of developing teaching materials which are carried out offline and is followed by the stage of socializing and monitoring which is carried out online. The target of this service is the mathematics teacher at Bunda Kandung Middle and High School, Jakarta. The activity evaluation instrument is in the form of a questionnaire. The results of the questionnaire showed that the teacher as the party receiving the benefits stated that he was satisfied with the media developed and the media could be used as an alternative solution to the current needs of teaching materials. The results of the monitoring phase indicated that the teaching materials developed have begun to be implemented and have succeeded in meeting the needs of teaching materials needed by schools. So, it can be concluded that this activity has succeeded in achieving the expected goals.
Academic Performance in Basic Subjects in Higher Education Before and After COVID-19

Due to the COVID-19 pandemic, the study modality changed from face-to-face to virtual, and the teaching-learning process changed drastically. Therefore, it was necessary to determine the effect of this pandemic on the academic performance of essential subjects that are part of the curriculum in most higher education careers. This research used the observational and analytical method on 101 students enrolled in the Mining career and a balanced factorial mathematical model and separation of means according to a significance value of 0.05 (p&lt;0.05). It was possible to determine that the academic performance of the students of the Mining career of the Escuela Superior Politécnica de Chimborazo in the basic subjects is different from the virtual average at least in a partial or in the final exam. In this case, it was significantly different in the second and third midterm, with the virtual performance being higher than the classroom performance.
Profiling the real world potential of neural network compression

Many real world computer vision applications are required to run on hardware with limited computing power, often referred to as "edge devices". The state of the art in computer vision continues towards ever bigger and deeper neural networks with equally rising computational requirements. Model compression methods promise to substantially reduce the computation time and memory demands with little to no impact on the model robustness. However, evaluation of the compression is mostly based on theoretic speedups in terms of required floating-point operations. This work offers a tool to profile the actual speedup offered by several compression algorithms. Our results show a significant discrepancy between the theoretical and actual speedup on various hardware setups. Furthermore, we show the potential of model compressions and highlight the importance of selecting the right compression algorithm for a target task and hardware. The code to reproduce our experiments is available at https://hub.datathings.com/papers/2022-coins.
Management of Decentralized Autonomous Organizations

In this paper, we analyze the current management status of decentralized autonomous organizations (DAO) and propose a protocol for managing a DAO. For the management of this form of organization, decentralization and autonomy are particularly critical. This basic premise avoids the potential abuse of power by centralized authority because such a firm is governed by code. In centralized firms, company members have a stronger right to participate in decisions made by high-ranking administrators. Blockchain technology, which provides a decentralized form of indestructible data storage, has gained much attention in recent years. Smart contracts, executable code stored in a blockchain, are based on this concept. We propose an approach to building DAO using smart contracts based on blockchain technology, which provides the optimum conditions for the decentralization and autonomy of DAO. The results show that our proposal outperforms existing solutions in terms of team autonomy within the DAO, the ability of all company members to vote on proposals, and the members elected by the rest of the company for higher positions within the organization. The key benefit of our solution is the universal concept of DAO as a service for any firm with a team-based management approach. This platform may be used by many businesses and also provides extensive access rights control based on predefined rules.
ANALISIS PENERAPAN APLIKASI E-RAPOR PADA SMPN 1 JEUMPA ACEH BARAT DAYA

The E-Rapor application is designed to facilitate the preparation of competency achievement reports and data processing in order to see the achievement of student learning outcomes carried out by subject teachers. This study applies a quantitative model to the teacher's level of understanding testing. The sample of this study was 20 subject teachers at SMPN 1 Jeumpa Aceh Barat Daya. With the answers generated from the data, respondents have an average score of 74.8 with a percentage of 62-81% so that the use of the E-Report Application at SMPN 1 Jeumpa Aceh Barat Daya lies in the agree category. The significance value obtained is 0.152 &gt; 0.05, it can be concluded that Ha is rejected and Ho is accepted. Based on the Anova table, it also shows a value of 2.263 &gt; 4.49 with the result that there is an effect, so the conclusion is that in terms of teacher use and understanding of the use of the E-Rapor Application at SMPN 1 Jeumpa Aceh Barat Daya there is no significant effect.
Scanning The Pages: Struggles and Successes of Learners in the Reading Literacy Program (RLP)

This qualitative research using documentary analysis assessed the struggles and successes of learners in the reading literacy program. More specifically, it sought to determine the problems encountered by the learners; assess how the total development of the learners are being improved; identify what particular methodologies are being employed; and find out what the learners gained from the said program. In the analysis of data, the interview recordings were transcribed to arrive at extended texts. Interview with thematic analysis was used. Finding revealed that Multi and varied problems are faced by the learners during the conduct of the reading literacy program. There were mechanisms employed by the teachers that show development to the learners. Reading Methodologies vary to reach the level of the learner. Learners gained and experienced much during the conduct of the reading literacy program. Thus, it is recommended that the teachers, parents and learners must help one another to eradicate reading problems. Coping mechanisms shall be religiously carried out by the learner for them to improve and develop in their reading skill. Teacher must continue to be patient in teaching struggling readers by employing different methodologies applicable to them. Motivation is needed both internal and external. Parents must show their 100% support to their children particularly on remedial programs. Further studies maybe conducted with other variables not specified within the study. Keywords: Struggles and Successes, Reading Literacy Program, Skills, Coping Mechanism
Localized Learning Materials (Big Books) for Beginning Readers of Tagudin, Ilocos Sur

This study tested the effectiveness of the localized learning materials (big books) in teaching the Day Care learners. Furthermore, it determined the level of reading performance of the learner-respondents based on their summative evaluations during the three months of teaching them. It also ascertained the level of reading performance of the learners based on their posttest and tested the effectiveness of Localized Learning Materials (LLM) in improving the reading skills of the learners. Thus, it aimed to establish the level of validity of the localized learning materials based on the evaluation of five DepEd experts. Data gathered were quantitatively described by using frequency, percentage, and mean. Findings revealed that the young learners can perform better because they are motivated to learn when artistically prepared localized materials (big books) are used in the teaching-learning process. They can improve much in their reading performance when the teaching process is aided by big books. The use of localized Learning Materials (big books) is very effective in teaching the beginning readers. On the validity of the materials, it is concluded that they are very much acceptable, appropriate, and functional in teaching the beginning readers. Accordingly, it recommends that the study be replicated in a wider scope and consider including more variables. Likewise, the big books may be reproduced by the CTE (College of Teacher Education), avail for a copyright before it will be distributed to the adopted schools. Keywords: Beginning readers, Big Books, Level of Validity, Localized Learning Materials
Assistance in Library Management Based on the Senayan Library Management System (SliMS) at SMA Darut Taqwa Purwosari

This community service program is carried out in the form of library management assistance based on SLiMS at Darut Taqwa High School, Purwosari Pasuruan. Libraries have an important role in building a learning community, as well as school libraries. The school library is a strategic educational facility, because apart from supporting learning activities. The school library is also one of the barometers of school quality standards. Darut Taqwa High School was chosen as a mentoring partner on the basis that this institution is one of the institutions in Pasuruan Regency that has received an A (excellent) accreditation. However, the quality standard of library administration is still far from the national library standard. This assistance uses the participatory approach. The steps for implementing this assistance are focused on 1) selecting the assisted person, 2) installing the SLiMS application, 3) the SLiMS operation tutorial, and 4) managing the SLiMS-based library. The results of this assistance are 1) the availability of library staff at Darut Taqwa High School who understands SLiMS-based library management, 2) the availability of a SLiMS-based library automation system, 3) the creation of a system for managing library materials, members, and library administration, and 4) the creation of a good library layout that is quite close to the minimum standard of the national library.
Advances in Information Security and Privacy

Due to the recent pandemic crisis, many people are spending their days smart working and have increased their use of digital resources for both work and entertainment [...]
MOTunAr Ontology: Creation and Axioms Impacts

Due to its potential for supporting heterogeneous and various data, ontologies are used in serval domains, notably the archaeological one. In this paper, we want to present a multimedia ontology that designs the different entities involved in the Tunisian archaeological field. On another hand, the task of creating ontology is error-prone. The quality of ontology should be sequentially evaluated based on various criteria (e.g., coherence, consciences, interoperability, etc.). Axioms present the guarantor to satisfy high quality for a developed ontology. Therefore, we detail in this work a hybrid approach that guarantees the quality of the generated ontology. This approach combines the corrective method that defines the positive axioms, and the constructive method that defines all relevant axioms based on the elimination of model and integrity constraints. The generated ontology is evaluated with the Pellet reasoner and OOPS! Online service.
INTELLIGENT DEEP LEARNING ENABLED CROWD DETECTION AND CLASSIFICATION MODEL IN REAL TIME SURVEILLANCE VIDEOS

Recently, security surveillance applications exploited the computer vision based detection and tracking approaches to improve the safety and comfort of humans.A major concern in real time surveillance video tracking is the process of identifying the human crowd behavior and classifying them.It finds useful to alert the crow in case of any disasters and unpredicted events.The investigation of human behavior in crowded surveillance videos is an essential and crucial area of research.The recent advances in Artificial Intelligence (AI) and deep learning (DL) models can be employed for determining the crowd behavior analysis in surveillance videos.With this motivation, this article focuses on the design of intelligent deep learning enabled crowd behavior detection and classification (IDL-CBDC) model in real time surveillance videos.The goal of the IDL-CBDC technique is to detect the crowd and classify it into four classes namely marriage, political, school, and college.Primarily, the IDL-CBDC technique performs preprocessing in two levels namely adaptive median filtering (AMF) technique and contrast enhancement (CE) approach.Besides, a deep instance segmentation approach using PSPNet-101 model is used for the segmentation of input video frames into crowds.Moreover, the black widow optimization (BWO) with residual network (ResNet50) model is applied for the crowd detection and classification process.The design of BWO algorithm helps to properly adjust the hyperparameter values such as learning rate, batch size, number of epochs, and number of hidden layers.In order to ensure the improved performance of the IDL-CBDC technique, a set of simulations take place using an own dataset, gathered from public places.Extensive comparative result analysis reported the supremacy of the IDL-CBDC technique over the other techniques.
ENHANCED VISUAL CRYPTOGRAPHY NETWORK (EVCN) FOR SECURED DATA TRANSMISSION COMBINING DES AND ELLIPTIC CURVE CRYPTOGRAPHY

Internet usage has shown an enormous increase in recent decades.Textual data, images and even videos are transmitted across the globe through emails, chat applications, virtual meet applications and many more.Visual cryptography, being renowned for encryption, can guarantee the protection of image data to a great extent.Visual cryptography concentrates on secret sharing, which encrypts a secret image into shares that will not disclose any information regarding the original confidential image.This research work proposes an Enhanced Visual Cryptography Network (EVCN) with an encryption-decryption strategy that combines the Data Encryption Standards (DES) Algorithm and Elliptic Curve Cryptography (ECC) algorithm for encrypting input images, followed by the addition of a secret text to the input image.Finally, the Long Short Term Memory Network (LSTM) is used for evaluating the performance of the proposed system.
FORMATION, DEVELOPMENT AND MODERN PROSPECTS OF DISTANCE LEARNING TECHNOLOGIES IN UKRAINIAN EDUCATION

The article considers distance learning, its beginning, opportunities, achievements, which are currently part of the education system in developed countries. Today, distance learning is one of the most relevant areas of education that is developing rapidly. In today's conditions, when the educational process is forced to completely move to the online plane, there is a need to identify the main obstacles and their further elimination. Also an important aspect discussed in the article is to determine the most effective aspects of distance learning and their further development and correct distribution among other activities. In this review study, issues on distance studies in modern education discussed with theoretical backgrounds. Also in this article, reader could find what kind of flaws can occur in distance educational process and what is causes to these flaws. In this study, the most significant errors scholars have made in writing and discussing distance education research in technology comparisons studies are determined. This article aims to help distance program makers, distance education researchers and instructors by making them aware of these issues in comparison studies. So, they could make a more accurate decision when implementing distance learning solutions in their institutions. In addition, this article investigates the internal problems: limited resources, unevenly distributed marketing advantages, inappropriate administrative structure and the lack of innovative physical facilities. The article allows to sort out the indicated problems through the stepwise introduction of a distance education model that fits any university, regardless of its specialization. Key words: distance learning, distance education, innovation, technologies, traditional schooling, electronic educational tools.
Education system in the Conditions of the Post-Coronavirus State of Society: Risk assessments and Development directions

The article analyzes the strategic tasks of the higher education system in a pandemic. The limited conditions of development of the system of professional and higher education are revealed, the factors influencing the decision of students to choose the place of study are revealed. The influence of the coronavirus pandemic on the choice of the form of education and the active use of online learning technologies is analyzed. On the example of the countries of Northern Europe and the Baltic sociological data on the influence of distance learning technologies on the quality are given.
Word Sense Induction with Attentive Context Clustering

This paper presents ACCWSI (Attentive Context Clustering WSI), a method for Word Sense Induction, suitable for languages with limited resources. Pretrained on a small corpus and given an ambiguous word (a query word) and a set of excerpts that contain it, ACCWSI uses an attention mechanism for generating context-aware embeddings, distinguishing between the different senses assigned to the query word. These embeddings are then clustered to provide groups of main common uses of the query word. We show that ACCWSI performs well on the SemEval-2 2010 WSI task. ACCWSI also demonstrates practical applicability for shedding light on the meanings of ambiguous words in ancient languages, such as Classical Hebrew and Akkadian. In the near future, we intend to turn ACCWSI into a practical tool for linguists and historians.
Classification of Twitter COVID Tweets Using Deep CNN-SLSTM Technique

A wide range of industries, including company management, travel and tourism management, education management (E-Learning), the medical field, government agencies, telecommunications management, and private firms, can benefit from user opinion analysis.Many classifiers for deep learning and machine learning are being created to automate sentiment analysis.For sentiment analysis, real-time tweets are initially gathered from various social media platforms like Twitter and Facebook as well as numerous review websites like Amazon and Flip-kart.In this research, a real-time dataset is created using the Twitter API and is used to gather tweets about COVIDbased keywords between April 2021 and May 2021.This research utilizes the Deep Convolution Neural Network with Stacked Long Short Term Memory (CNN-LSTM) for sentiment analysis.The performance of CNN-LSTM is compared with six machine learning classifiers, including Naive Bayes, Logistic regression, Support vector classifier, Random forest, and Decision tree, as well as five neural network classifiers, including LSTM, CNN, CNN-LSTM, and Bidirectional LSTM.Metrics like precision, recall, F1-Score, Accuracy, Mean Absolute Error, Root Mean Square Value, R2 score, and Cohen kappa score are used to assess the performance of classifiers.The experimental investigation demonstrates that CNN-SLSTM provides good accuracy (99%) and a good R2 score, a kappa score, and less RMSE score compared with other learning models.
Electromagnetic Leakage Assessment of a Proven Higher-Order Masking of AES S-Box

Many digital systems need to provide cryptographic capabilities. A large part of these devices is easily accessible by the malicious user, and may be vulnerable to side channel attacks such as power or electromagnetic analysis. From one side, the designer has to protect the architecture with proven countermeasures; on the other, the actual implementation must be validated in order to prove the absence of undesired leakages. In this paper, we present an implementation of two optimized and proven masking schemes of order 3 and 7 for an embedded software AES, and prove its robustness by showing the absence of significant leakage in the nonlinear layer.