Reviewerly/exHarmony huggingface dataset:
SUDOTIX GAME: A SIGNIFICANT PROPOSAL FOR EXERCISES WITH INTEGER OPERATIONS

In the Mathematics project of the Institute of Biosciences, Letters and Exact Sciences of São José do Rio Preto, together with the Unesp Teaching Nucleus Program, one of the objectives is the full participation of undergraduates in the daily life of a state school in the interior of the State of São Paulo, providing them with opportunities to experience teaching practices that overcome the problems of teaching and learning mathematics.In this work, a research was carried out on mathematical games to work with the object of knowledge, integers, and an experience was presented that exemplifies the teaching practice with an original mathematical game, named Sudotix in the seventh years.The board game was inspired by three other games: Sudoku, Matix and Magic Square.The theme of the game allowed us to work with objects of knowledge: ordering integers, notion of a Cartesian plane, addition and subtraction operations on the set of integers.The game was applied in the problem solving approach and adapted for remote teaching, due to the Covid-19 pandemic.The teacher (scholarship holder) acted as a mediator in the teaching and learning process, differently from the role of the teacher in traditional mathematics teaching.Students were encouraged to develop arithmetic thinking.They effectively participated in the classes, were motivated to do the operations and proposed different strategies in order to achieve the objective of the game.
Implementation of health cycle using VR and IoT

Abstract: This paper presents the implementation of Health Cycle using Virtual Reality (VR) and Internet of Things (IoT). A prototype system is developed for interactive indoor cycling. The methodology will inspire the people to experience and visit different places while exercising, improving their health and stamina. In our fast forward lives, we need to have some sort of physical activity. The manuscript is presenting a developed methodology and it is possible uses for everyone to take care of themselves in an interesting manner. The methodology used is the combination of software and hardware to work efficiently and to provide an immersive experience. The methodology is conducive to the health of the community without being monotonous. Keywords: WHO, COVID, NODE MCU, VR, IR, UI, IOT
Usability Evaluation of the Online Skill Assessment Tool

This study was conducted to evaluate the usability of the online skill assessment tool which was developed to evaluate the literacy, numeracy, and digital skills of adults with low skill levels.The sample consisted of 14 participants who were between the ages of 18 and 40 and who had graduated from secondary school at most.In the study, the user-based method, in which user experiences are employed, was used, and according to the effectiveness, efficiency and satisfaction criteria determined by ISO 9241-11, the usability of the online skill assessment tool was evaluated.According to the data obtained from the screen recordings, effectiveness was considered as the completion rate of the tasks, and efficiency was considered as the completion duration of the tasks.Satisfaction was also considered as the values obtained from the questionnaire data.The findings indicated that the participants were able to complete most of the tasks and were generally satisfied with the use of the system.Some usability problems were identified as a result of the observations and the detailed examination of the screen recordings.These problems have been a guide for updates to render the system more usable before the system is used by end users.
Hybrid Method Air Quality Classification Analysis Model

This paper aims to present a discussion of air quality based on the classification analysis developed by hybrid method. Problems that occur, where the longer the air quality is getting worse and can cause serious problems for human life. The method in performing the used analysis consisted of K-Means clustering, Multiple Linear Regression (MRL), Artificial Neural Network (ANN), and Decision Tree Algorithm C.45. The results of MRL measurement show that correlation relationship is the same as the variable with an output of 70.7%. Then the results of determination with ANN showed an MSE value of 0.0018197 and output accuracy of 99.99%.
Some Thoughts about the Construction of Individualized College English Teaching Mode

Individualized college English teaching is an important practice for colleges and universities to carry out college English teaching reform. Starting from the analysis of the connotation of individualized college English teaching, this paper summarizes the significant characteristics of individualized college English teaching, and puts forward the idea of constructing an individualized college English teaching mode, in the hope that provides some reference for the comprehensive implementation of the current college English teaching reform.
Pengaruh Latar Belakang Pendidikan Orang Tua dan Intensitas Perhatian Orang Tua terhadap Prestasi Belajar Siswa Kelas 2 SMU 1 Panggang Gunungkidul

The purpose of conducting this research is to find out (1) Data on the educational background of parents of grade 2 SMU 1 Panggang, Gunungkidul, (2) Data on the intensity of parental attention of students in grade 2 SMU 1 Panggang, Gunungkidul, (3) Achievement student learning at SMU 1 Panggang, Gunungkidul, (4)The effect of educational background on student achievement in grade 2 at SMU 1 Panggang, Gunungkidul, (5) The effect of the intensity of parental attention on student achievement at SMU 1 Panggang, Gunungkidul, (6) The effect educational background of parents and the intensity of parental attention to parental learning achievement on learning achievement at SMU 1 Panggang, Gunungkidul. The population is 2nd grade students of SMU 1 Panggang, Gunungkidul which consists of 3 classes with a total of 116 students, all populations are taken as research respondents. The data collection method used is the questionnaire/questionnaire method and the documentation method. Data analysis was carried out by descriptive statistical analysis, partial correlation and multiple correlation. The results of the study are as follows: (1) The educational background of parents (X1) is 48,39% (2) the intensity of parental attention (X1) is 73.28% is in the medium category,(3)Student achievement in grade2SMU1Bakedat 100.00% is in the medium category, (4) There is a significant positive effect of parents' educational background and the intensity of parental attention on student achievement at SMU 1 Panggang, Gunungkidul. This means that the higher the educational background of parents and the intensity of parental attention, the higher the student's learning achievement, (5) the educational background of parents and the intensity of parental attention together make an effective contribution to learning achievement by 36, 261%.
Teknik Chunking Dipadu Writing is Thinking untuk Mengendalikan Extraneous Cognitive Load Siswa

&lt;p&gt;&lt;em&gt;Extraneous cognitive load &lt;/em&gt;(ECL) is a related to the design or learning strategies in learning activities. This study aims to control students’ &lt;em&gt;extraneous cognitive&lt;/em&gt; load by using &lt;em&gt;chunking technique&lt;/em&gt; with &lt;em&gt;writing is thinking&lt;/em&gt; in the human reproductive system learning. This research was conducted at one of the Senior High School in Tasikmalaya City for the 2020/2021 academic year. The research method used &lt;em&gt;quasi-experimental &lt;/em&gt;with &lt;em&gt;posttest only control group design&lt;/em&gt;. The research subjects were 56 samples divided into two groups, namely the experimental group (28 students) and the control group (28 students). The instrument used in this research is a subjective rating scale questionnaire with a scale of 1 to 8 including indicators of the student responses about the learning strategies used and student responses to the given task. The results showed that the students’ &lt;em&gt;extraneous cognitive load&lt;/em&gt; of the experimental group was lower than the control group. Based on the result of statistic analysis using SPSS version 23 software, the students’ &lt;em&gt;extraneous cognitive load&lt;/em&gt; between the experimental group and the control group was significantly different&lt;/p&gt;
XPERT DOC FOR MEDICAL EMERGENCIES

Communication through web is turning out to be absolutely necessary nowadays. An online communication permits the clients to speak with others in a quick and advantageous manner. Thinking about this, the online communication application must be capable of the writings or pictures or some other documentations. It must be capable of offering the users a commendable customer support.
Reinforcement Learning for Multi-Agent Competitive Scenarios

Reinforcement Learning techniques allow learning complex behaviors to deal with a variety of situations in a matter of hours. This complexity is even more prominent in multi-agent continuous 3D environments. This paper compares how the actions taken by two agents independently trained via a self-play approach differ from the ones taken when they are controlled by the same policy. It also explores the emergence of competitive or collaborative behaviors in a natural game setting. By implementing a 3D simulated version of the Dance Dance Revolution, the acquisition of more specific abilities like equilibrium, balance, and dexterity was tested. The approach achieved very good results learning a predefined sequence of buttons (7 arrows correctly pressed in 20M timesteps), revealing a similar learning behavior to human beings (improving with training and performing better in this kind of sequence than in random ones). The self-play approach also produced some interesting effects by developing cooperative behaviors in theoretically competitive scenarios.
Secure File Storage on Cloud Using Cryptography

Abstract: Hacking became a serious drawback lately. Transference of secure knowledge or communication through the web turns out to be difficult because of security considerations. to anticipate these security hurdles, we tend to use Cryptography, and Image Steganography. Day’s cloud computing is currently employed in several areas like business, colleges, and Universities to store a great amount of knowledge. We will extract knowledge from the cloud for the asking of users. To store knowledge on the cloud we've to face several errors and issues. Cryptography and steganography techniques area unit well-liked currently a day’s for knowledge security. using one algorithmic rule isn't effective for prime-level security to knowledge in cloud computing. during this paper, we initiated a new security mechanism using symmetrical key cryptography algorithmic rules and steganography. during this projected system AES, blowfish, RC6, and 3DES algorithms area units were used to supply blockwise security to knowledge. All algorithms have a key size of 128 bits. Key data contains that a part of the file is encrypted using that algorithmic rule and key. The file is split into eight components. every part of the file is encrypted using different algorithmic rules. All components of the file area unit are encrypted at the same time with the assistance of the multithreading technique. encoding Keys area unit inserted into cowl image using LSB technique. Steganography image is sent to a valid receiver using email. For file secret writing purposes reverse method of cryptography is applied. Keywords-Hacking, Steganography, Cryptography, Cloud service provider (CSP), cloud server (CS), Encode, Decode, Delay, Integrity
Identification of Learning Experience in Online Learning with User Persona Techniques Based on Learner-Centered Design Concepts

Online learning is now not a new thing in the world of education. However, with the change in the learning system that is carried out entirely online, of course, there is a need for adjustments so that the quality of learning is maintained. Online learning has provided convenience in the learning process because it can be done asynchronously. Understanding the learning experience of students is very important to optimize learning that focuses on learner-certified design. A good learning experience will also have an impact on student learning outcomes. Therefore, it is necessary to identify and analyze the needs of students in online learning so that the learning process becomes more optimal. The use of persona techniques can provide more detailed information to explore the needs of students in the online learning process. This research begins by identifying problems, observing target users, persona design, and persona analysis. The results of the study indicate that there are several shortcomings and obstacles faced during online learning and several things that need to be considered for online learning in the future, namely lectures to be carried out according to a predetermined schedule, providing more reference materials and more detailed explanations of material, providing learning videos for providing additional understanding related to lecture material, provide quizzes and discussion forums on e-learning at the end of each material, more intense interaction is needed to discuss learning materials, more frequent online meetings are held to provide confirmation and discussion of material and provide feedback on each assignment.
Klasifikasi Dehidrasi Tubuh Manusia Berdasarkan Citra RGB Pada Warna Urine Menggunakan Metode K-Nearest Neighbor

Dehydration is a condition in the body where the amount of fluid that comes out is more than the amount of fluid that enters so that the body experiences a lack of fluids. The simplest way to find out if you are dehydrated is to check the color and amount of urine. If it is very dark and there is little water, then the body needs a lot of air. If the urine is clear, it means the body is in normal air balance. The level of dehydration between each person is different, so we need a system that can classify the level of dehydration objectively through urine, so that it can facilitate the process of early detection and diagnosis before being enforced. Based on the research that has been done, it is found that the Matrix Laboratory (Matlab) can classify dehydration in the human body, by utilizing urine images through several processes, namely preprocessing, segmentation, feature extraction of Red Green Blue and then the K-Nearest Neighbor method to classify a person's level of dehydration. From 30 urine image training data and 15 urine image test data with 3 classes of urine color levels, namely not dehydrated, mild dehydration and severe dehydration, the results obtained from the accuracy of the dehydration level classification using the K-Nearest Neighbor method of 93.3% obtained from 14 test data with accurate classification, and 1 test data with inaccurate classification.
Use Visualization Techniques

The Membership Management ReportVolume 18, Issue 7 p. 7-7 Briefs Use Visualization Techniques First published: 30 May 2022 https://doi.org/10.1002/mmr.31950Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume18, Issue7July 2022Pages 7-7 RelatedInformation
Kombinasi Pembobotan Symmetrical Uncertainty Pada K-Means Clustering Dalam Peningkatan Kinerja Pengelompokan Data

Based on several studies that examine the K-Means Clustering method, it was found that in K-Means Clustering one of the weaknesses lies in the process of determining the center point of the cluster which also has implications for distance calculations in determining the similarity between data to obtain conclusions from the data. a cluster. And this is also caused by the influence of the percentage of the attributes used. If the attributes used are less relevant to their level of influence and also have a low contribution to the data, this can have a significant impact on the results of clustering. So from these problems, in this research, the author proposes to use the method in calculating the weight of data attributes in the clustering process, namely using Symmetrical Uncertainty. To test the proposed method, this research uses a dataset from UCI Machine Learning which consists of Iris with 150 data and Wine Quality with 178 data. The evaluation of the proposed clustering performance is based on the Davies-Bouldin Index (DBI) value. The test results in this study show that the proposed method can produce a significantly smaller Davies-Bouldin Index (DBI) value.
ANALISIS KECUKUPAN WAKTU OPERASIONAL PEMBELAJARAN PRAKTIKUM PADA LABORATORIUM LISTRIK DASAR JTM POLNAM BERBASIS TIME STUDY METHOD

The implementation of the student practicum learning process requires the effectiveness of the right movement with a normal working tempo so that it is well measured in order to achieve efficient working time. The purpose of this study was to determine the optimization of student work time achievement in completing the practicum in its function and role as an operator by measuring work based on the stopwatch time study method. The learning process is focused on the automotive field for automotive electrical work at the basic electrical laboratory majoring in mechanical engineering at the Ambon State Polytechnic. The calculation results show that the normal time (Wn) is 3.39 hours and the standard time (Ws) for students to complete three practicum jobs is 4.21 hours per student, with an accumulation of 21.05 hours for each practicum group of 5 students. So that the acquisition of the semester credit unit reaches 1,485 or the equivalent of 1.5 credits where the realization of an excess workload of 0.5 credits can be allocated for other practicum courses with a more varied workload
Membangun Framework Konseptual Terintegrasi Menggunakan Metode Composite Logic untuk Cloud Forensic Readiness pada Organisasi

In the Forensic Readiness approach, incident readiness is the goal of the company or organization in dealing with incidents that may occur. Forensic Readiness can consist of actions or steps, technical and non-technical, that supposedly maximize an organization's ability to use digital evidence. A well-built Cloud Forensic Readiness Framework can help speed up and simplify decision-making regarding an incident occurring in a cloud computing environment. This creates new opportunities for collaboration in the field of digital forensics and cloud computing or cloud computing, so that solutions can be studied and researched by analyzing various literature sources of cloud computing forensic readiness framework and building an integrated cloud forensic readiness framework on an institutional scale using the composite logic method. With the completeness of the readiness framework designed, it is a kind of research that is expected to ease decision making process for organizational stakeholders to handle incident responses.
STRUCTURAL AND CONTENT MODEL OF FORMATION OF PSYCHOLOGICAL STABILITY OF STUDENTS IN EDUCATIONAL AND PROFESSIONAL ACTIVITIES

This article presents a structural and content model of the formation of psychological stability of students in educational and professional activities.Its content and the main components that determine the essence of this structural and content model, as well as the main factors influencing the formation of psychological stability of students in educational and professional activities are presented.The model contains current technologies and methods that solve several problems at once.In addition to the main one included in the title, topical issues of the reorganization of the educational process, motivation of students of the professional level, etc., can also be solved.The formation of psychological resistance to various negative professional and educational factors occurs in the process of learning activities and is based on the functional and physical capabilities of a person.All of them are an integral part of the personality and develop collectively, albeit within the framework of variability.Key words: psychological stability of students, educational and professional activity, structural and content model of formation of psychological stability of students.
A Survey of Social Engineers that did not Collect Enough Data

In The context of Information technology and Cyber Security a nexus of computers and humans occurs as Social engineering. Defenders would like to know how this group interacts with users to gain access to secure information. The purpose of this research initially was to find out from Social Engineers what were the best defensive techniques. A survey was created to ask social engineers about specific defensive techniques that are prevalent in Cyber security. Not enough data was collected from social engineers and the second half of the paper covers why this was. One of the main reasons for lack of data was due to a lack of in-group trust of the researchers by the group being researched. Much of the theory behind the why has been applied to other groups in other fields.
Application of Motion Capture Based on Digital Filtering Algorithm in Sports Dance Teaching

In order to improve the teaching effect of sports dance, this paper analyzes the traditional dance teaching motion capture, uses sensor motion perception algorithms to capture sports dance motion perception, and designs an intelligent sensor system that can be used for sports dance motion capture. Moreover, this paper combines the digital filter algorithm to design the hardware system structure of the sports dance motion capture system and builds a motion capture system for sports dance teaching based on the digital filter algorithm according to actual needs. In addition, this paper combines the simulation test to evaluate the performance of the system designed in this paper. The research results show that the motion capture system for sports dance teaching based on the digital filtering algorithm proposed in this paper can play an important role in sports dance teaching and effectively improve the efficiency of sports dance teaching.
Exploration of the Decision Model and Notation (DMN) Standard for Representation of Knowledge Bases Encoded in the Arden Syntax

Context: Arden Syntax encodes knowledge as Medical Logic Modules (MLMs). Current work involves improvement of its representation of business processes. Objective: Assess how DMN can represent decision-making in MLMs. Method: A sample of 340 MLMs was tabulated for DMN representation. Result: While DMN can represent all MLMs at the decision requirements level, some are not supported at the decision logic level. Conclusion: DMN facilitates representation of business processes but would not address all decision logic.
Continuous Temporal Graph Networks for Event-Based Graph Data

There has been an increasing interest in modeling continuous-time dynamics of temporal graph data.Previous methods encode timeevolving relational information into a lowdimensional representation by specifying discrete layers of neural networks, while realworld dynamic graphs often vary continuously over time.Hence, we propose Continuous Temporal Graph Networks (CTGNs) to capture continuous dynamics of temporal graph data.We use both the link starting timestamps and link duration as evolving information to model continuous dynamics of nodes.The key idea is to use neural ordinary differential equations (ODE) to characterize the continuous dynamics of node representations over dynamic graphs.We parameterize ordinary differential equations using a novel graph neural network.The existing dynamic graph networks can be considered as a specific discretization of CTGNs.Experiment results on both transductive and inductive tasks demonstrate the effectiveness of our proposed approach over competitive baselines.