Reviewerly/exHarmony huggingface dataset:
Implementation of Numeracy Literacy through Economics Learning in Elementary School

Numeracy literacy is intended so that students can solve practical problems related to numbers in daily life. The purpose of this study was to determine the knowledge that students have about economics learning applied to numeracy literacy. The subjects taken in this study were students of fifth-grade Elementary School, Bandung, Indonesia. The data collection instrument used a pretest-posttest which was made in the Quizizz Application. The results of this study state that the average student still didn’t understand numeracy literacy. Students' understanding of the material for numeracy literacy can be improved by providing economics material via PowerPoint or YouTube which is done online from using the zoom application with educators. The results of the research show that the average post-test score for all of the sample students is 90.6% greater than the average pre-test score of 56.6% so the difference is 34%. Therefore, learning economics can be improving their numeracy literacy students’ skills.
Improving the Quality of Left-Behind Children’s Participation in Sports through Wireless Network Monitoring

Urbanization is the process that people shift from rural to urban areas, which has led to large numbers of left-behind children in China. The left-behind children stay in rural regions of China while their parents work in urban areas. The left-behind children have few opportunities to participate in sports due to the lacking of concern, and it is not of high quality even though they participate in sports. Therefore, it is necessary to improve the quality of left-behind children's sports participation through wireless network monitoring. Wireless network monitoring transmits high-definition (HD) video streaming in real time to facilitate feedback timely. This paper studies the two-dimensional (2D) integer discrete cosine transform (DCT) and analyzes the reason for image distortion, then an improved DCT coefficient quantization approach is proposed for long-distance real-time transmission of HD video streaming, and a noise processing with a zero-mean noise processing is added in optimized approach to solve the image distortion problem. The experimental results show that the proposed improved approach has a good performance in reducing the blocking artifacts, and within the image reconstruction, the proposed approach improves the subjective video quality.
A rule-based argumentation framework for distributed contextual reasoning in dynamic environments

In this study, we tackled the problem of distributed reasoning in environments in which agents may have incomplete and inconsistent knowledge. Conflicts between agents are resolved through defeasible argumentation-based semantics with a preference function. Support for dynamic environments, where agents constantly enter and leave the system, was achieved by means of rules whose premises can be held by arbitrary agents. Moreover, we presented a formalism that enables agents to share information about their current situation or focus when issuing queries to other agents. This is necessary in environments where agents have a partial view of the world and must be able to cooperate with one another to reach conclusions. Hence, we presented the formalization of a multi-agent system and the argument construction and semantics that define its reasoning approach. Using example scenarios, we demonstrated that our system enables the modeling of a broader range of scenarios than related work.
THE EFFECT OF BLENDED LEARNING MODEL WITH TELEGRAM APPLICATION ON STUDENTS’ CRITICAL THINKING ABILITY AND LEARNING OUTCOMES ON SOCIAL STUDIES SUBJECT AT ELEMENTARY SCHOOL

This study aimed to determine the effect of blended learning model with telegram application on students’ critical thinking skills and learning outcomes for social studies subjects at fifth grade of SDN Semambung Sidoarjo. The blended learning model with the telegram application was carried out online and offline; this also became a solution due to the covid-19 pandemic so that the learning process could still be carried out. This research was an experimental research with a pretest post test control group design. The subject of this research was the fifth grade students of SDN Semambung Sidoarjo. Data were collected through critical thinking ability test and learning outcomes tests. Furthermore, the data were tested by using validity and reliability tests, while the learning tools were tested by expert validation. Data analysis test was conducted through normality test and homogeneity test. The analytical technique used was t test. The results of this study indicated that (1) there was an effect of blended learning model with telegram application on the students’ critical thinking skills at fifth grade elementary school in social studies subject; (2) there was an effect of blended learning model with telegram application on the students’ learning outcomes at the fifth grade elementary school in social studies subject. For teachers who faced problems in implementing online learning accompanied by low critical thinking skills and students’ learning outcomes, it was recommended to use a blended learning model with telegram application.
Sistem Pakar dalam Menganalisis Gangguan Jiwa Menggunakan Metode Certainty Factor

People with Mental Disorders (ODGJ) as a trigger for people who suffer from disorders of thought, feeling and behavior cause changes in attitudes and behavior that hinder normal human functioning. Mental disorders as a syndrome characterized by a change in a person's behavior that will be associated with symptoms such as difficulties or disorders, as well as psychological functions and behavior that are not confident in dealing with people but can also be with that person. An expert system is an intelligent computer technology that is based on solving problems using inferential knowledge and procedures. As a problem solver, expert systems will also find it easier to make decisions or policies like humans do. This study aims to produce an expert system that is used to analyze mental disorders who can make similar decisions, as well as psychiatric specialists. The data processed in this study is scientific data on mental disorders ranging from types of mental illness, early symptoms of disease and patient diagnosis data by mental health specialists, then the data is processed using the Certainty Factor method and displayed in the form of a web-based application using the PHP programming language. and MySQL databases. The results obtained from testing the expert system using the Certainty Factor method show that there is a match between the results of an expert diagnosis of depression with a certainty level of 73%. An expert system for analyzing mental disorders using the Certainty Factor method can make it easier for sufferers to understand the type of mental disorder they are experiencing.
Human Task Recognition using CNN

In this fast pacing world, computers are also getting better in terms of their performance and speed. It is capable of solving very complex problems like understanding an image, understanding videos and live capturing and processing of data. Due to advancement in technologies like computer vision, machine learning techniques, deep learning methods, artificial intelligence, etc., various models are being made so that prediction of outputs is made simpler and of high accuracy and precision. Our project model is built using a convolutional neural network (CNN). Our dataset consists of 599 videos in which 100 videos was assigned to each category of basic human actions like Running, Boxing, walking etc. In this project, we have used a set of labelled videos which was used to train our three models. The CNN is used as a base network in all the three models to process all the videos from the dataset, that is, to read all the frames and convert into heat maps. Out of our three models, the best model is used to give prediction for the actions performed in the video. The results show that with better algorithm techniques, the performance of the model is also improved.
Analysis of Japanese Expressions and Semantics Based on Link Sequence Classification

Based on locness corpus, this paper uses Wordsmith 6.0, SPSS 24, and other software to explore the use of temporal connectives in Japanese writing by Chinese Japanese learners. This paper proposes a method of tense classification based on the Japanese dependency structure. This method analyzes the results of the syntactic analysis of Japanese dependence and combines the tense characteristics of the target language to extract tense-related information and construct a maximum entropy tense classification model. The model can effectively identify the tense, and its classification accuracy shows the effectiveness of the classification method. This paper proposes a temporal feature extraction algorithm oriented to the hierarchical phrase expression model. The end-to-end speech recognition system has become the development trend of large-scale continuous speech recognition because of its simplicity and efficiency. In this paper, the end-to-end technology based on link timing classification is applied to Japanese speech recognition. Taking into account the characteristics of Japanese hiragana, katakana, and Japanese kanji writing forms, through experiments on the Japanese data set, different suggestions are explored. The final effect is better than mainstream speech recognition systems based on hidden Markov models and two-way long and short-term memory networks. This algorithm can extract the temporal characteristics of rules that meet certain conditions while extracting expression rules. These tense characteristics can guide the selection of rules in the expression process, make the expression results more in line with linguistic knowledge, and ensure the choice of relevant vocabulary and the structural ordering of the language. Through the analysis of time series and static information, we combine the time and space dimensions of the network structure. Using connectionist temporal classification (CTC) technology, an end-to-end speech recognition method for pronunciation error detection and diagnosis tasks is established. This method does not require phonemic information nor does it require forced alignment. The extended initials and finals are the error primitives, and 64 types of errors are designed. The experimental results show that the method can effectively detect the wrong pronunciation, the detection accuracy rate is 87.07%, the false rejection rate is 7.83%, and the error rate is 87.07%. The acceptance rate is 25.97%. This method uses network information more comprehensively than traditional methods, and the model is more effective. After detailed experiments, this article evaluates the prediction effect of this method and previous methods on the data set. This method improves the prediction accuracy by about 15% and achieves the expected goal of the work in this paper.
Modeling approaches to informatization of project activities in secondary school

Problem and goal. In the system of modern education, the issue of informatization of project activities is studied only in terms of its use within individual subject areas. This significantly narrows the possible effect of using this method at the intersection of subject areas, which was the original purpose of creating and describing this method. At the same time, it is extremely rare to mention the construction of a school project management system, although management is also necessary for the implementation of the project, especially when it comes to projects at the intersection of subject areas, when entire teams of project coordinators (subject teachers), teams of project participants (students), representatives from enterprises and/or universities (project partners) are involved. The purpose of our research is to model approaches to informatization of project activities. Methodology. Project management is sufficiently described in modern literature and research, and the standards of project management are described and accepted all over the world. In our study, to model approaches to informatization of project activities, we will rely on the experience of using the method in the economy and on the standards adopted worldwide and in the Russian Federation. Results. The conducted research has shown that in education it is possible to effectively apply the approaches that have proven themselves in the economy, which makes it possible to effectively apply the project method in educational activities. Conclusion. We were able to apply universal standards of project management to model approaches to informatization of project activities, which in the future will allow us to organize the project activities of schoolchildren at a fundamentally new level.
Non-singular Transformation Based Encryption Scheme

In this paper, we propose a novel variant of the Hill cipher based on vector spaces.In the classical Hill cipher, a non-singular matrix is used for encryption but it is well known that this cipher is vulnerable to the known-plaintext attack.In our proposed cryptosystem, we eradicate this problem by encrypting each plaintext block with a new invertible key matrix.This makes our scheme immune to all existing attacks in literature on this type of ciphers and so the resulting cipher can be used as other state-of-art block cipher.To generate the invertible matrices which serve as the dynamic keys, we make use of the vector spaces along with randomly generated basis and non-singular linear transformation.In addition to this, we also study the computational complexity of the proposed cryptosystem and compare this with the computational complexities of other schemes based on Hill cipher.
Android-Based Multimedia Development and Worthiness for Economic Learning in High School

The Covid-19 pandemic has turned face-to-face learning into online learning, thereby minimizing interactions with other people. So that online learning requires preparation, including appropriate learning media. This study used the ADDIE development method to develop android-based multimedia in the tenth grade of high school economic subjects. The steps are taken consist of Analysis, Design, Development, Implementation, Evaluation. The stage consists of learning technical analysis and curriculum analysis. The design stage is the design of android-based media. Media and material expert validation carry out the development stage, the media implementation stage is tested in a limited class, and the evaluation stage is the finalization stage of the media used. The results showed that developing android-based multimedia in tenth high school economics learning met validity, effectiveness, and practice criteria.
The effectiveness of a training program based on the components of moral intelligence in developing academic engagement and decreasing the level of Cyberbullying among high school students: فاعلية برنامج تدريبي قائم على مكونات الذكاء الأخلاقي في تنمية الاندماج الأكاديمي وخفض مستوى التنمر الإلكتروني لدى طلاب المرحلة الثانوية

This study aimed to identify the effectiveness of a training program based on the components of moral intelligence in developing academic engagement and reducing the level of cyberbullying among high school students. The experimental study group consisted of (32) students. The researcher applied the following tools: (the training program based on the components of moral intelligence, academic engagement scale, cyberbullying scale). The researcher used the quasi experimental method. The researcher used the "T" test to statistically treat the data and verify the hypotheses. the researcher concluded several results, including: There were significant differences between the average degrees of the experimental study group on two scales (academic engagement and its dimensions, and cyberbullying and its dimensions) in the pre and post measurements toward post-measurement. There were no significance differences between average degrees of the experimental study group on two scales (academic engagement and its dimensions, and cyberbullying and its dimensions) in the post and follow up measurements (after a month). The researcher provided a thorough discussion of the study variables, academic integration, cyberbullying and the training program based on moral intelligence in the current study. The researcher also presented some recommendations and suggested research.
Hybrid Spelling Correction and Query Expansion for Relevance Document Searching

A digital library is a type of information retrieval (IR) system.The existing IR methodologies generally have problems on keyword searching.Some of search engine has not been able to provide search results with partial matching and typographical error.Therefore, it is required to be able to provide search results that are relevant to keywords provided by the user.We proposed a model to solve the problem by combining the spell correction and query expansion.Searching is starting with indexing the title of the document by preprocessing the title of all incoming document data and then weighting the Term Frequency -Inverse Document Frequency (TF-IDF) against all terms of the whole document.Levenshtein Distance algorithm is used in the search process to correct typo-indicated keywords.Before calculating the relevance between the keywords and the documents using Cosine Similarity, the keywords are expanded using Query Expansion to increase number of documents retrieved.Calculation results using Cosine Similarity are then added to Query Expansion weight calculation to get final ranking result.Results show improvements over IR system compared with system without spell check and query expansion.The results of the study in the form of web-based application conducted testing for 50 times with number of data of 2,045.The system was able to correct typo-indicated keywords and search documents with average recall value of 95.91%, average precision value of 63.82% and average Non Interpolated Average Precision (NIAP) value of 86.29%.
Applications of Mobile Learning and Transactional Distance Theory in the Context of Higher Education during COVID-19 Pandemic

ABSTRACT Mobile learning, which can be performed through numerous applications that run on smartphones, personal digital assistants, and other devices, has played a major role in education, especially during under the restrictive conditions due to the COVID-19 pandemic. This paper is a review of literature of mobile learning efficiency in education. Some application of m-learning in education have shown extensive success. Mobile learning could meet with success in a suitable learning environment. The recently developed transactional distance theory focuses on three elements in the connection and involvement in the distance education environment, namely, the teacher, the student, and dialogue. The core of that theory is investigating the ways that the learner can progress to becoming a self-directed learner with the support of the teacher. Though there are advantages to m-learning, there are some disadvantages of m-learning such as technical, physical and health issues
A Procedure for Determining Japanese Loanword Status for English Words

Japanese loanwords are mainly derived from English. These loanwords provide a considerable first-language (L1) resource that may assist in second-language (L2) vocabulary learning and instruction. However, given the huge number of loanwords, it is often difficult to determine whether an English word has a loanword equivalent and whether the loanword is likely to be widely known among the Japanese. This article demonstrates an efficient method of answering these two questions. The method employs corpus frequency data from the Balanced Corpus of Contemporary Written Japanese, from which the existence and frequency of loanwords in Japanese can be determined. Following the guidelines presented herein, researchers will be able to use data from the corpus themselves to check cognate frequency, thereby determining the cognate status of items used in research.
FEATURES OF DEVELOPMENT OF EMOTIONAL STABILITY OF HIGH SCHOOL STUDENTS

The authors of the article emphasize and reveal the essence and content of the psychological nature , the development of skills and abilities, as well as the emotional stability of high school students. In modern foreign and domestic psychology, a number of emotional States are considered : anger, aggression, blame, anxiety, mental discomfort, stress and distress, the development of stability of the emotional state of schoolchildren in the country. Therefore, one of the main problems in our country is the development of stability of the emotional state of high school students.
Mixed Method for Model Order Reduction Using Meta Heuristic Harris Hawk and Routh Hurwitz Array Technique

A physical system is of higher-order and it is hectic for researchers to understand these systems in higher mathematical form.So, there is a requirement for systematic conversion of higher-order into a lower order.The lower order approximately gives the same result as that of the higher-order by preserving the important properties of higher-order.But the lower order retains some approximation error.Objective: The objective is to optimise the reduced-order by minimizing the integral square error between the higherorder system (HOS) and the lower-order system (LOS).Methodology: For the optimization process the novel harris hawk hunting behaviour is optimized.It is applied to find the unknown numerator by applying the novel algorithm.The denominator parameter is obtained by the Routh Hurwitz Array technique.Finding: The proposed technique is applied on a linear time-invariant single input single output system of higher-order which is randomly selected from the literature.To justify the proposed technique, the result obtained is compared with the result available in the literature.The comparison is based on the step response characteristics of the diminished order with original and result accessed from literature.The response indices such as integral square, integral absolute, integral time absolute errors are also compared.The error gets minimized and results improved as associated with the result presented in the literature.
The security of RC4 algorithm using keys generation depending on user's retina

Digital technologies grow more rapidly; information security threats are becoming increasingly dangerous. Advanced and various cyber-attacks and security threats, like targeted emails, and information exploitation, pose a critical threat that basically undermines our trust in the digital society. Rivest cipher 4 (RC4) algorithm is a significant cipher of a stream that could be utilized with protocols of the internet, the advantage of the RC4 algorithm is that it is simple and effective. There are several weak, especially after the pseudo-random generation algorithm (PRGA), PRGA's initially 256 rounds (the amount of the RC4 permutation). Several modified RC4 studies have been published thus far, however, they all face either standard privacy or achievement evaluation issues. This paper proposes a new RC4 algorithm that is based on the user's retina (RC4-Retina), which has solved both of these weak points it was indicated in the standard RC4 algorithm. The novelty of retina key scheduling algorithm (RKSA), which is generated by relying on the user's retina of the algorithm will modify the matrix of permutation used to configure the keys. The efficiency of the improved algorithm was measured by depending on the average security of ciphertext of different keys and different messages, results were good compared to the standard algorithm.