Reviewerly/exHarmony huggingface dataset:
Kahoot quiz: interactive media in knowing the increase in understanding of the numerical method of oceanographic physics based on Matlab programming

This study aims to improve the practical understanding of the numerical method of oceanographic physics based on Mathlab software to calculate the roots of the Airy wave equation through the Kahoot application as an interactive media. This study used a population of 3 classes totaling 105 people. The determination of the increase in quiz scores with and without the Kahoot application was analyzed using the basic statistical comparison method, Independent T-Test Comparison (Intecomp) testing, as well as analysis of the distribution of the increase in quiz scores per class and per, mean predicate with a weighted scale of 4. The average score of the quiz scores without Kahoot 76.28; with Kahoot 84.96; the Intecomp P-Value test results 6,1.10-6 (α = 0.05), a significant increase in quiz scores from the use of the Kahoot application. The distribution of data for the increase in weighted quiz scores is 9.63%; As for the distribution of the rise in the average quiz score per class was 5.42%. Based on the statistical analysis test, it can be concluded that the use of the Kahoot application as an interactive media can increase the practitioner's understanding of the mathematical physics numerical method of oceanography based on Matlab.
Teaching writing in emergency distance education: the case of primary school teachers : Teaching writing in emergency distance education

This article is a case study examining the writing teaching processes of primary school teachers during the pandemic. Fifty-four primary school teachers who conduct their writing teaching practices by distance education took part in the study. The data were collected by interview method. The data were gathered through a semi-structured interview form produced by the researcher under the guidance of an expert. The interviews were conducted via video chat programs. After having the participant's consent, the interviews were recorded. In the analysis of the transcribed texts, descriptive and content analysis methods were used. The results were divided into five groups after the data analysis, and these are: first writing experiences, situations originating from the teacher, situations originating from the student, situations originating from the student's parents, and recommendations. The study's results revealed that sufficient significance was not given to the writing tasks during the pandemic, and these efforts were postponed to the next semester when it was expected that face-to-face education would begin. In the process, the study revealed that student motivation was poor, there were issues in the management of the classroom environment, and writings of students could not be provided with the necessary feedback and corrections. Besides, what stands out that for teaching writing, parent support is required, and parents do not pay desired attention to the writing. However, primary school teachers have provided some suggestions for more effective writing teaching. Ethics committee approval was obtained for the study (Date: 15.01.2021; decision number: 2021/20).
FAKTOR-FAKTOR YANG MEMPENGARUHI PRESTASI BELAJAR SISWA-SISWI KELAS X-XI DI SMA NEGERI 4 KOTA SORONG

Introduction: Many students learn less focus both at home and at school. The results of interviews with 10 students of class X-XI Sorong 4 Public High School, 50% said that the learning system at home is free, not noticed by parents or family members at home, if there is homework, the process is sometimes at home and not rarely done at school, after returning from school usually directly playing with school friends and neighbors. Method: This type of research is analytic descriptive with cross sectional design. The study was conducted in Sorong City High School 4 in February 2020. The population in this study were all students of class X-XI in Sorong City High School 4. The total sample of 74 people with the sampling technique is total sampling. The study was conducted using a questionnaire instrument. The data obtained were analyzed using the Pearson Product Moment test, at a 95% confidence level.Result: Based on the results of the analysis, it is known that there is an influence of parental support, intrinsic motivation and learning facilities on the learning achievement of students of the X-XI class of SMA Negeri 4, Sorong City. Discussion: Children who get full support from parents will be more motivated and motivated to study harder, while children who lack support from parents will feel that they are not useful so that the enthusiasm for learning is absent, and the desire to increase their potential is absent. Parents need to pay attention to children, especially when the child is still in adolescence, this time the child needs attention to find the identity that will take the child in the future. The intrinsic motivation of students is on average good though not good on all the questions asked. Intrinsic learning motivation of students will increase self-awareness to learn well with goals essentially, not only look good or to get attention, and this will have an impact on student achievement well and vice versa. Learning facilities can affect learning achievement, this can be seen from the teaching and learning facilities in school classrooms, tables, chairs, blackboards are well cared for. This situation illustrates that students assume that learning facilities in schools are very important so that together students and teachers take care of existing learning facilities. Likewise, learning facilities at home students have literature books to use when studying on their own.
Sentiment Analysis of Facebook Data using Machine Learning

In this paper, I propose a model that will analyze the person's sentiment and emotion using social media.Face book, using machine learning and deep learning.Nowadays, most teenagers are depressed and stressed due to the overuse of social media and emotional breakdown.This project will help them to know their status and improve emotional stability.The numerous data floating around virtually can be taken as the context of data science and big data.In this paper, I will show how useful information can be mined out of those data sets.This paper aims to retrieve and pre-process social media data for sentiment analysis, which is a part of natural language processing.I will use several techniques of NLP for data pre-processing for better sentiment analysis.This paper essential requirement is to show the realization how individuals feel certain social media status, which will be utilized for classification.
The Effects of Students" Grit on Their Goal Commitment and Classroom Engagement in University PE Classes as part of Liberal Arts

The purpose of this study is to investigate how much influence students" grit would have on their goal commitment and classroom engagement in university PE classes as part of liberal arts. For this purpose, 321 were selected among the population of university students in Seoul, Gyeonggi and Chungcheong Province through convenience sampling. Collected data was put to multiple regression analysis with the SPSS 25.0 statistical program. The findings were as follows:<BR> First, students" grit had statistically significant effects on their goal commitment in university PE classes as liberal arts; secondly, their goal commitment had statistically significant effects on their classroom engagement in university PE classes; and finally, their grit had statistically significant effects on their classroom engagement in university PE classes, but consistency of interest, a subfactor of grit, had no significant effects on their classroom engagement.
APPLICATION OF THE PROJECT METHOD FOR FORMING INTERCULTURAL PROFESSIONAL COMPETENCE

O. Frolova1, V. Lopatinskaya2 1Moscow state institute of physical culture, sport and tourism named after Yu.A. Senkevich (RUSSIAN FEDERATION) 2Plekhanov Russian University of Economics (RUSSIAN FEDERATION)
Pretty good state transfer of multiple qubit states on paths

We discuss pretty good state transfer of multiple qubit states and provide a model for considering state transfer of arbitrary states on unmodulated XX-type spin chains. We then provide families of paths and initial states for which we can determine whether there is pretty good state transfer based on the eigenvalue support of the initial state.
EDUCATION FOR PRACTICE: RESULTS OF THE ANALYSIS OF ATTITUDES OF STUDENTS AND EMPLOYERS ON THE IMPORTANCE OF INTERNSHIP IN HIGHER EDUCATION INSTITUTIONS IN ENGINEERING

Information about the paper titled "EDUCATION FOR PRACTICE: RESULTS OF THE ANALYSIS OF ATTITUDES OF STUDENTS AND EMPLOYERS ON THE IMPORTANCE OF INTERNSHIP IN HIGHER EDUCATION INSTITUTIONS IN ENGINEERING" at IATED Digital Library
Indexação de dados científicos: uma análise a partir das políticas da Rede de Repositórios de Dados Científicos do Estado de São Paulo

The repositories of scientific data are a reality experienced worldwide, contributing to the storage, preservation and access to data from scientific research. In view of the important role that these contemporary systems play, the objective is to investigate the indexing of scientific data within the scope of the Scientific Data Repositories Network of the State of São Paulo, a platform that allows access to scientific data and increases the visibility of research conducted in the participating institutions. To this end, the information policies established by each member institution are analyzed in order to contribute to studies of information representation in digital repositories. This is an exploratory and documentary study, with data collection carried out by consulting the electronic sites of the scientific data repositories and member institutions. The analysis of the identified information policies reveals that the data repositories linked to the Network partially meet the FAIR principles, use software and standards that allow interoperability, have data identification systems and a protocol for collecting metadata. The indexing of scientific data in the member repositories occurs by the author-researcher himself or by the team responsible for the system. There is a need for more in-depth studies on the Network of Scientific Data Repositories of the State of São Paulo, with emphasis on the quality of the subject metadata and the specificities of the indexing policies in scientific data repositories.
Best Computer Monitor For Music Production

For best performance and seasoned productivity on digital audio workstations, which incorporates Ableton live and other Digital workstations like a ...
Penerapan Model Pembelajaran Berbasis Masalah Berbantuan Teknik ATM Untuk Meningkatkan Prestasi Belajar Siswa

This study is aimed at increasing students’ learning achievement with two cycles research plan. The Subject of the study are 31 students. They are 15 male; and 16 female students. The learning achievement data are collected by using observation sheet, multiple choice test, and essay test. The data are analyzed with descriptive qualitative method. The result of the study shows that the implementation of Problem Based Learning Model with ATM technique increased the students’ learning. At the first observation data, students achievement in affective aspect students who are master 51.61%, students who have not master 48.39%; at the cognitive aspect the mean 61, the classical mastery 38.71%; at the mean of psychomotor aspect 68, classical mastery 54.84%. At cycle I the learning achievement in affective aspect 58.06%, students who have not master 41.94%; the mean of learning achievement at the cognitive aspect 89.68, classical mastery 100% the mean of learning achievement in psychomotor aspect 74.84, classical mastery 77.42%. At cycle II the learning achievement at the affective aspect Siklus II 96.77; the mean of learning achievement in cognitive aspect 84.44, classical mastery 97.09;the lmean of earning achievement in psychomotor aspect  81.77, classical mastery 100  Based on the result of the study it is suggested; (1) For Students can use this learning model to increase their learning achievement; (2) Other teachers can implement this learning model by considering the weakness of the result of the study; (3) School can use this learning model to elaborate and  solve the learning problem in the class (4) Other researcher can use this research as a relavant study
AR TECHNOLOGIES IN EDUCATION TO MOTIVATE FOR LEARNING

The article considers the construction of the educational process applying augmented reality technology. The design and development of lessons based on AR applications and the appropriate software need instructional specialists of general education institutions with specific skills. The author suggests a training program to form or improve competence in augmented reality technology used in professional activities. The program will help specialists learn the basic concepts of the technology area, study the history and opportunities for developing the technology, identify threats and risks that users may face when using AR technology, as well as study software and hardware for developing and immersing themselves in augmented reality technology.The suggested selection of various AR applications for mobile systems and programs employed for three-dimensional modeling will allow instructional specialists of general education institutions to get elementary knowledge about the ways and methods of applying augmented reality technology for educational purposes. AR-based projects developed by specialists of general education institutions within the training course with their further application in learning activities will give students a certain incentive and motivate them to learn.
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

Multimodal pre-training has propelled great advancement in vision-and-language research. These large-scale pre-trained models, although successful, fatefully suffer from slow inference speed due to enormous computation cost mainly from cross-modal attention in Transformer architecture. When applied to real-life applications, such latency and computation demand severely deter the practical use of pre-trained models. In this paper, we study Image-text retrieval (ITR), the most mature scenario of V+L application, which has been widely studied even prior to the emergence of recent pre-trained models. We propose a simple yet highly effective approach, LightningDOT that accelerates the inference time of ITR by thousands of times, without sacrificing accuracy. LightningDOT removes the time-consuming cross-modal attention by pre-training on three novel learning objectives, extracting feature indexes offline, and employing instant dot-product matching with further re-ranking, which significantly speeds up retrieval process. In fact, LightningDOT achieves new state of the art across multiple ITR benchmarks such as Flickr30k, COCO and Multi30K, outperforming existing pre-trained models that consume 1000x magnitude of computational hours. Code and pre-training checkpoints are available at https://github.com/intersun/LightningDOT.
Secure Hypersphere Range Query on Encrypted Data

Spatial queries like range queries, nearest neighbor, circular range queries etc. are the most widely used queries in the location-based applications. Building secure and efficient solutions for these queries in the cloud computing framework is critical and has been an area of active research. This paper focuses on the problem of Secure Circular Range Queries (SCRQ), where client submits an encrypted query (consisting of a center point and radius of the circle) and the cloud (storing encrypted data points) has to return the points lying inside the circle. The existing solutions for this problem suffer from various disadvantages such as high processing time which is proportional to square of the query radius, query generation phase which is directly proportional to the number of points covered by the query etc. This paper presents solution for the above problem which is much more efficient than the existing solutions. Three protocols are proposed with varying characteristics. It is shown that all the three protocols are secure. The proposed protocols can be extended to multiple dimensions and thus are able to handle Secure Hypersphere Range Queries (SHRQ) as well. Internally the proposed protocols use pairing-based cryptography and a concept of lookup table. To enable the efficient use of limited size lookup table, a new storage scheme is presented. The proposed storage scheme enables the protocols to handle query with much larger radius values. Using the SHRQ protocols, we also propose a mechanism to answer the Secure range Queries. Extensive performance evaluation has been done to evaluate the efficiency of the proposed protocols
Development of Practical Teaching Tool for BESO Method Topology Optimization with Open Source 3D Modeler and 3D Modeling Machine

Kobe City College of Technology department of mechanical engineering was starting the new curriculum from 2017. In the new curriculum, Computer Aided Engineering (CAE) lecture will start for the fifth grade students at 2021 because of necessary skill for mechanical engineer. Nowadays, the topology optimization attracts attention in study of the structure shape optimization. In this study, we attempt to find the topology optimization procedure with BESO (Bi-directional Evolutionary Structural Optimization) method using open source parametric 3D modeler. Furthermore, three-dimensional optimize shape forming by 3D printer and CNC milling machine are carried out. Topology optimization and three-dimensional forming was succeed and the three-dimensional formed shape using TPC filament for material was able to bending test. On the other hand, three-dimensional forming by 3D printer took longer forming time than supposed lecture time.
PROFESSORS OF THE THIRD AGE AND THEIR INNOVATIVE ACTIVITY IN UNIVERSITIES

Introduction:The innovative potential of the third aged university professorship has to be analyzed in situation of change in the system of higher education in Russia and due to the considerable increase in the number of teachers of the third age. It is important to describe their abilities in innovative transformation, and the content of their innovative activity in strict requirements of professional achievement and age restrictions and barriers.Materials and methods:The innovative activity of university teachers of the third age was investigated by the research team of the Ural Federal University in the framework of the project "Education as a resource for the preservation and development of the social community of people of the third age" (2019). The article is based on the survey of teachers of the Ural Federal District, performed with the questionnaire method with quota sample. Quotas were based on regions of the district, areas of training, type of university. The sample size of teachers - 811 people, teachers of the third age comprised 39.5% of the total sample population (348 people).Results:The study revealed that the innovative activity of the professional community of university teachers is not differentiated by their age. The elder teachers are as creative and innovative as the young teachers, but the content and character of their activity differs. Teachers of the third age (in comparison with younger colleagues) are more focused on the implementation of innovative projects in research activities than in teaching. They are more active in performing as experts, they develop stronger ties with authorities, industrial enterprises, organizations of the socio-cultural sphere, they communicate effectively in the public sphere, they influence public opinion, and implement advisory and consultative tasks. Statistical analysis revealed the connection between the intensity of sociocultural activity, civic activism of third-age teachers and their innovative activity in the professional sphere.Conclusions:The study arouse the significant innovative potential of teachers of the third age, the relative inconsistency of the concept of low adaptability of older teachers to changes and new technologies. Nevertheless, it is important to evaluate, how the conditions created by universities reflect the specifics of adaptation capabilities and age characteristics of elder teachers, how universities form the basis for the development of their human capital and the transfer of professional and social experience to the next generations of teachers.
Importance and Potential Advantages of Web-based Corporate Disclosure in Jordan: Current Status and Future Aspirations

The study examines the perceptions of accounting information users toward the importance of a web-based disclosure for 32 items and the potential advantages for both the users and companies. The study also investigates the perceptions of users regarding the websites presentation and the obstacles of web-based disclosure. In addition, the study examines empirically the relationship between the importance of web-based disclosure and the potential advantages for both users and companies. Based on 107 online users’ responses, results show that financial information is the most important information that should be disclosed on the websites of companies according to users. Results also show that the mean values of the advantages for both users and companies are, high, close and significant. Users’ perceptions indicate that competition, cost and audit issues are the main obstacles that may hinder companies to use websites for disclosure. In addition, findings show a positive and significant relationship between the “financial” factor and the users’ potential advantages. In respect to the companies’ potential advantages, results show that both “human resources and suppliers” factor and “the governance, quality and strategy” factor have positive and significant relationship with the companies’ potential advantages. Accordingly, decision-makers should effectively use the seven factors that extracted from principle component analysis as a web-based disclosure model to create advantages for both users and companies.
Research on the Development Status of Internet Literature Industry Based on Co-word Cluster Analysis

This article analyzes the development and changes of the theme focus of online literature in two different time periods by using the method of cluster analysis of co-words from the literature data from 2000 to 2020. It turns out that the emergence of online literature has expanded the threshold of national writing and promoted the development of popular literature. The genre novels have become the focus of current IP and promote the commercialization and industrialization of online literature. Its cultural power extends to various industrial chains and becomes the backbone of the social cultural industry.