Reviewerly/exHarmony huggingface dataset:
THE USE OF SONG MEDIA TO INCREASE STUDENT PARTICIPATION IN ENGLISH GRAMMAR LEARNING ON CLASS XI STUDENTS OF SMK NEGERI 4 LAHAT DEPARTMENT OF ACCOUNTING FOR THE ACADEMIC YEAR OF 2019/2020

Student participation is an important aspect in learning, including learning English grammar. This study is intended to overcome the problem of student participation in learning English grammar by using the media song. With tone, authenticity and lyrics, the song gives the effect of feeling happy, motivated, as well as an example of language grammar in use. The research was conducted in class XI in accounting department of SMK Negeri 4 Lahat. Data were collected through observations, questionnaires, and tests/tests. Based on initial observations, a number of obstacles were identified, among which students looked passive and paid less attention to learning English grammar. The research team agrees that the core of the problem is learning which tends to be deductive in nature, that is, students are not given enough real examples. Otherwise, teachers only give students more with formulas. The research team reached an agreement on how to overcome the problem, namely by implementing English grammar learning using song media. At the first meeting, there was progress on what the CAR team was concerned about. Although there are still shortcomings, teacher performance is improving. In general, student participation also increased, except for a few aspects such as the absence of questions asked by students. However, the progress achieved in the first meeting can be maintained at the second meeting. Some advances tend to increase in intensity. The results of the pre-post-test of the second meeting even increased quite sharply. Overall evaluation at the end of the cycle, including taking into account student responses through questionnaires, shows the success of CAR.
Teacher's Role in Applying Audio Visual Media in Science Learning

The problem in this study is "Can using the Numbered Head Together learning model improve the ability to read aloud students in class III SDN 1 Bone Raya Bone Bolango Regency?" The purpose of this study was to improve the students' ability to read aloud through the Numbered Head Together learning model in class III SDN 1 Bone Raya, Bone Bolango Regency. The method used in this research is Classroom Action Research (CAR) which is carried out in 2 cycles. Data collection techniques in this study were in the form of teacher activity observation, student activity observation, interviews, tests, and documentation. Initial observations of the students' average ability in reading aloud (33%) or 5 students who completed and (67%) or 10 students who had not finished. In the implementation of the first cycle class action, only 11 students (73%). In the second cycle increased to 13 people (87%). From the results of the research and discussion carried out, the research on Students' Reading Aloud Ability through the Numbered Head Together Learning Model in Class III SDN 1 Bone Raya, Bone Bolango Regency increased.
THE INFLUENCE OF INTERNET USE IN THE IMPLEMENTATION OF E-LEARNING TOWARDS STUDENT’S CHARACTER BUILDING

Online learning or e-learning is one of the teaching and learning methods that use internet to access learning materials and interact with the content, educators, and other students. It also aims to gain knowledge and support during the teaching and learning process. This definition emphasizes on the use of internet and interaction in distance learning or e-learning. Analysis of previous studies has shown that the influence of internet on the personality growth of teenagers today is particularly worrying as, they spend so much time browsing the internet on learning purposes. The changes taking place in teaching and learning methods that extensively use the internet to connect, interact and share learning materials today due to the Covid-19 pandemic should be treated in a positive angle although it also has negative impact on the student’s character building. Therefore, this study uses conceptual methods aimed at discussing the influence of internet use in the implementation of e-learning. Several issues such as the impact of excessive internet usage on pupils and lack of control and monitoring from teachers and parents were also discussed. Hence, this study can provide several suggestions on how to overcome internet abuse during the implementation of e-learning especially among primary level students. It is hoped that in the future more studies will focus on the implementation of e-learning using a larger sample of teachers at the primary school level.
A hybrid big data movies recommendation model based k-nearest neighbors and matrix factorization

On the subject of broadcasting the information, finding someone’s favorite book or movie in a sea of data containing books and movies has become a crucial issue. In an era when there are so many genres and types of movies and books, the customer may find it difficult to choose which to discover in the first place. Thus, personalized recommendation systems play an important role because of the value that is attributed to movies and books nowadays, and considering that there are so many to choose from that the user may not be able to have a specific target. In this context, our proposed work, design and implement a prototype of movie recommendation system while taking into consideration the real requirement for the search of movies and books. The research of movie recommendation system by using the k-nearest neighbors approach and collaborative filtering algorithm are adopted to extract the criteria for a good use case on recommender systems. At last, the results are as what was expected as they showed that the system has a good recommendation effect.
Modification of the frost speckle-noise filter for solving problems of radar data processing

A study of the smoothing properties of the Frost speckle-noise filter on the simulated radar images was conducted. A variant of the filter modification is proposed, which allows significant reducing computational costs. Based on a comparative analysis of the filtration procedures, recommendations for the filter application to the radar image processing tasks are given.
Bank Competition, Concentration and Economic Growth: A Panel Analysis of Selected Banks in the Nigeria Banking Industry

The role of financial development in the growth and development of developing economies have constituted a popular discourse among development and financial economist.Two key issues of interest in the discussion of financial are competition and concentration in the banking industry as key predictors of growth in every economy.This study therefore investigated the effect of concentration and competition in the Nigerian banking industry on economic growth with focus on the big-8 banks in Nigeria.Moreover, the implementation of the consolidation policy of the Central Bank of Nigeria in the year 2005 informed the choice of period (i.e., 2005-2019) selected for this study.While a positive concentration-growth nexus was found in the study, the study could not establish a positive competitiongrowth nexus in the Nigerian economy for the period under review.The increase in capital base as required by the consolidation policy has accounted for the level of concentration in the banking industry; and this has made it easier for banks to contribute significantly to the growth of the economy.Imperfect competition in the banking industry on the other hand has led to higher costs of loans that detain firms from new investments, thus slowing down the firms' expansions and productivity growth.
Developing Interactive Multimedia for Multiple Intelligence-Based Learning for B Group Children at PAUD Terpadu Al-Furqan Kaliwates, Jember

This development research was carried out at the Al Furqan Integrated PAUD, Kaliwates Jember District, Jember Regency in the 2019/2020 school year. The purpose of this study was to describe the process and results of developing interactive multimedia media in multiple intelligence-based learning for group B children. The data collection techniques used were validation, observation, and questionnaires. This research is included in the type of development research proposed by Bor and Gall, because this type of research is used to develop and validate products in the fields of education and learning. The research stages consisted of the problem identification stage, the data collection stage, the product design stage, the product design validation stage, the product design revision stage, the product trial stage, the product revision stage, and the usage trial stage. The interactive multimedia development test consists of validity tests, practicality tests, and effectiveness tests. The results of the development of interactive multimedia learning media are categorized as valid based on the assessments given by expert validators and practitioner validators. Learning is categorized as effective as seen from the activities of children who show above average values, positive teacher responses when teaching using interactive multimedia media and children are more enthusiastic in learning activities. Learning is categorized as practical as seen from the teacher's activity which shows the percentage is above average, namely 92% with good interpretation.
Elliptic Curve

Abstract In 1985, mathematician v. Miller introduced elliptic curve into cryptography for the first time. In 1987, mathematician N. Koblitz further improved and perfected Miller’s work and formed the famous elliptic curve public key cryptosystem.
Digital-Analog Co-Design for Precision Compressed Integrated Photonic Convolution Neural Network

Digital-Analog Co-design for photonic CNN with compressed precision is proposed to answer 3 practical concerns about analog precision: measurement and its mapping to digital domain, minimum demand of physical layer conditions and cheap methods to improve the performance of photonic CNN with poor precision.
Assessing The Severity and Frequency of Drought in The Island Region of Iraq

The problem of drought is one of the main and most serious problems that constantly threatens many countries, particularly poor countries that do not have the economic and scientific resources to address that problem, and with the increasing frequency of unity of climate change and its clearly defined effects, the result of which is the increase in the area of land affected by desertification, which has led to soil degradation, low productivity and a malfunction in its structure in such a way as to lose plant life. In this research, the drought was studied and assessed in terms of its severity and frequency on the island region during the four study periods, especially since drought is a major cause and a clear indicator of desertification indicators in the island region through the study and calculation of wind and rain erosion, which is a key part of the drought, after which one of the evidence of drought will be applied, namely (reconnaissance drought plants).
Formation of preparedness for professional activity by ICT means

The article considers the current state of the problem of forming the readiness of future professionals for professional activities by ICT. The author proved that the training of future specialists in pedagogical specialties in the application of ICT requires a slightly different view of this complex creative process, which requires constant dynamic updating and application of the most effective and diverse methods of higher education.
IMPROVING STUDENTS READING SKILL IN UNDERSTANDING FUNCTIONAL PROCEDURE AND REPORT TEXTS THROUGH SCANNING TECHNIQUES AT JUNIOR HIGH SCHOOL

This study aims to improve the skills of understanding the meaning of context in procedure and report functional texts through the scanning reading technique of class IX SMP Negeri 9 Makassar. This research approach, which is descriptive. The design or model of this research is Action Research. The subjects of the study were 23 students of class IX SMP Negeri 9 Makassar State Vocational High School. Data collection is done through observation, documentation, and test techniques. Data analysis techniques, namely quantitative descriptive analysis and qualitative descriptive analysis. The results showed that scanning reading techniques can improve students' ability to understand the meaning of context in procedure and report functional texts are very high and increase from the low category to high with the average value of the first cycle is 56.52 and increases in the second cycle to 82.82. Changes and improvements also appear in the achievement of learning completeness from 21.73% in the first cycle to 100% in the second cycle. The scanning reading technique can increase student activity. In the first cycle, the activity of students was categorized as less and increased in the second cycle to be a very active category. Student interest and motivation increases in understanding procedure and report functional texts, on average students focus attention on learning to understand functional procedure and report texts, the average student is active in learning to understand functional procedure and report texts, and the average value of students from aspects of knowledge and psychomotor reach KKM.
Self-Supervised Enhancement of Latent Discovery in GANs

Several methods for discovering interpretable directions in the latent space of pre-trained GANs have been proposed. Latent semantics discovered by unsupervised methods are less disentangled than supervised methods since they do not use pre-trained attribute classifiers. We propose Scale Ranking Estimator (SRE), which is trained using self-supervision. SRE enhances the disentanglement in directions obtained by existing unsupervised disentanglement techniques. These directions are updated to preserve the ordering of variation within each direction in latent space. Qualitative and quantitative evaluation of the discovered directions demonstrates that our proposed method significantly improves disentanglement in various datasets. We also show that the learned SRE can be used to perform Attribute-based image retrieval task without any training.
Gated Hypergraph Neural Network for Scene-Aware Recommendation

To improve e-commercial recommender systems, researchers have never stopped exploring the interactions between users and items. Unfortunately, most existing methods only explore one or some certain components of the entire interactions. In fact, the entire interaction process is much richer and more complex, including but not limited to “who purchases what items in which merchant under what interaction environments”. Furthermore, many interactions have common features, thus forming a scene, a kind of prior knowledge for predicting user interactions. In this paper, we make the first attempt to study the scene-aware recommendation, which provides better recommendations with the entire interaction modeling and the scene prior knowledge. To this end, we propose a novel gated hypergraph neural network for Scene-aware Recommendation (SREC). Particularly, we first construct a heterogeneous scene hypergraph to model the entire interactions and scene prior knowledge. Then we propose a novel scene-aware gate mechanism-based hypergraph neural network to enrich their representations. Finally, we design a separable score function to predict the matching scores among user, scene, merchant and interaction environments for training and inference procedures. Extensive experiments demonstrate that our SREC can fully leverage the scene prior knowledge and outperforms state-of-the-art methods on real industrial datasets.
Augmented Reality in Learning

We are proposing an Android app based on Augmented Reality, which is going to help to students to learn in more interactive environment. In our modern era where the internet is ubiquitous, everyone using various online resources for learning. In this project, we are developing an android app based on Augmented reality, which is going to help to students and their parents in learning. As we are seeing learning is becoming digital, sometimes it becomes hard to deal with it. This app has various features like educational videos, 3d models, study material, animations, audios for users after focusing the camera via app on book or pictures. This will help to kids to grow more rapidly as well as their parents to solving the problems easily. Keywords: Augmented Reality, Android Device, 3D model, Audio, Video.
Personalized Al-Quran Memorization Testing System Using Group Decision Support System

Memorizing Al-Quran is one of the most important acts of worship for Muslims. After memorizing some parts of the Al-Qur’an, the hafiz or Al-Qur’an’s memorizer is recommended to repeat or muraja’ah their memorization to strengthen it. This process is usually done in pairs by listening to each other’s memorization or testing by asking questions about Al-Quran. This study proposes a system that can help memorizers test their memorization independently without a partner. The system will perform a memorization test to support the user’s process of memorizing the Al-Quran. The system records and analyzes user data and uses it to personalize memorization testing from time to time. The system was made using the Group Decision Support System (GDSS) approach with the help of several Al-Quran memorizers as decision-makers. The GDSS algorithm used combines Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Geometric Mean to rank surahs based on provided user data. The evaluation was conducted with the help of human evaluators, and the evaluators showed 78% agreement with the system decision.
Research on IT Operation and Maintenance and Management and Maintenance Methods in Cloud Computing Environment

Research on operation and maintenance technology in cloud computing environment aims to effectively promote the implementation of cloud computing and provide new development ideas for operation and maintenance technology.Cloud computing technology and operation and maintenance technology are bound to be closely related in the future development.In the process of building information system and using storage, cloud computing technology can solve relevant problems to a certain extent, but the intelligent storage operating system needs to be expanded and reformed.Considering the problems and challenges of IT and current management, this paper analyzes the current key technologies and cloud computing technology as well as the improvement on planning management through three different IT implementation schemes and cloud management models, as well as the three-stage cloud computer model and data management structure model.
THE IMPACT OF E-LEARNING WITH (SYAM-OK) DURING PANDEMIC ON ENGLISH LEARNING RESULTS OF STUDENTS AT ELECTRONIC ENGINEERING EDUCATION DEPARTMENT OF MAKASSAR STATE UNIVERSITY

The COVID-19 pandemic, which began in early 2020, had an impact on all industries, especially education. The government issued an order requiring students to study at home and thus eliminating face-to-face learning. Distance learning or online is a good solution to continue the learning process. This type of learning is referred to as e-learning. The research goal was to see how e-learning with (SYAM-OK) affected the value of learning for English courses at Makassar State University Department of Electronic Engineering Education, Faculty of Engineering. This population study consists of 125 students from the Department of Electronic Engineering Education, Faculty of Engineering, Makassar State University, who are enrolled in the S1, D4, and Vocational Mechatronics Study Programs. The sampling technique was purposive sampling, namely 85 students who programmed even semester English courses. Ex-post facto research with a quantitative descriptive method was used. According to the regression equation y = 14.888 + 0.812x, there is a 0.785 effect of e-learning with (SYAM- OK) on the value of learning results. This correlation value indicates that the two variables have a strong relationship. The calculated f value is 133.560, and the f table value is 3.956 (df1=1; df2=83). The regression correlation analysis revealed that 61.7 % of the influence of the e-learning variable (SYAM-OK) on the value of learning outcomes was influenced by other factors, while 38.3% was influenced by other factors.
Refined Digital Textual Criticism: More on the Question of Authorship of the novel Quiet Flows the Don

In 2019, N. P. Velikanova and B. V. orekhov published a stylometric study that tested the hypotheses about the authorship of the novel Quiet Flows the Don using Burrows’s Delta. The aim of this article is to suggest a minor but signifcant correction to their conclusions, based on the replica­tion study made possible by the recent publication of the research data by orekhov. The extended se­ries of Delta experiments using these data supports the conclusion that The Don Stories and the frst three volumes of Quiet Flows the Don were written by the same author. The alternative hypotheses about the authorship of the novel (kryukov, Sevskij, Serafmovich) are not confrmed by the stylo-metric data. Yet, despite Velikanova and orekhov’s claim, the Delta method and the corpus used in the study do not provide suffcient evidence to reliably attribute the fourth volume of Quiet Flows the Don to the same author.
Cost Analysis of Madison Square Garden Sports Corp

Madison Square Garden Sports Corp. (NYSE: MSGS) is a mature company in the sports industry, especially in basketball and hockey.Despite the poor performance of the New York Knicks from 2013 to last year, the team has still been worth the highest value of all National Basketball Association (NBA) teams in the past years.Its home court, Madison Square Garden, is honored as "Mecca of basketball".Consequently, the team and the company draw the interest of many people.The purpose of this cost analysis is to set a reasonable budget and strategic plan for the corporation, so the cost analysis will extend organization-wide and be from the perspective of the business operators to determine whether modification or improvements can be applied to current operational decisions inside the company.After analyzing the cost structure of MSGS, the corporation is found to be actually promising despite its current operating loss.With the operating loss decreasing from $93,866,000 last year to $78,443,000 this year, the corporation is believed to recover from the serious COVID-19 situations last year and to progress for the better.
Vision-Based Hand Activity Recognition

This chapter focuses on the hand activity recognition topics, including hand pose estimation, the static and dynamic hand gesture recognition. The research background is reviewed, and the various approaches have been surveyed and sorted out. Basically, deep learning-based methods are the mainstream solution capable of achieving state-of-the-art performance. This chapter presents the commonly used depth sensor-based approaches for the hand pose estimation firstly, as well as several typical deep learning-based models leveraging the multi-scale spatial information and the multi-frames temporal information. This chapter also introduces a reasonable solution to tackle dynamic hand gesture recognition, which aims to reduce the computational cost to meet the practical needs. In the last, we discuss the unsettled issues and provide some recommendations.