Reviewerly/exHarmony huggingface dataset:
Pengembangan Media Pembelajaran Berbasis Webquest Pada Mata Pelajaran Akuntansi Dasar KD 3.11 Materi Laporan Keuangan pada Kelompok Belajar Kelas X di Desa Kebak Wirun

This development aims, 1) to produce webquest-based learning media products in basic accounting subjects KD 3.11 grade X financial statement material; 2) to determine the feasibility of webquest-based learning media in basic accounting subjects KD 3.11 grade X financial statement material; 3) to find out whether webquest based learning media on basic accounting subjects KD 3.11 grade X financial statement material can improve student learning outcomes. This type of research is Research and Development (R&D) using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model. Percentage evaluation of media feasibility by material experts and media experts shows 95.83% in the category of very feasible, and 72.92% in the category of feasibility. mean pre-test 46.62 and post-test 83.87. Thus it shows that the results of the post-test scores are higher compared to the results of the pre-test scores. From the learning outcomes data tested also had a significant difference because Sig. (2-tailed) has a value of 0,000 less than 0.05. So it can be concluded that there is a difference between pre-test (before using webquest-based learning media) and post-test (after using webquest-based learning media). Then testing the t test statistics stated that the use of webquest-based learning media is valid and effectively used to improve student learning outcomes on basic accounting subjects in financial statement material.
Influence of Information Communication Technology on Child Education

Purpose: The potential benefits of ICT integration in learning in schools have been extensively discussed in the academic literature worldwide. In recent years globally, there has been rapid expansion in integration of ICT in primary school education. Countries has further put in place many initiatives to enhance the same. Integration of Information and Communication Technology (ICT) is a critical factor in ensuring improved quality education. Despite the many benefits that are known to be brought by integrating ICT in teaching and learning, studies have shown that integration remains low especially in primary schools. The general objective of the study was to establish the influence of information communication technology on child educationMethodology: The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes and to extract knowledge gaps.Findings: The study found out that the influence of ICTs in learning cannot be dealt with in isolation. For technology to be effective, it must be availed to learners at the right time and place. There is need to be effective, it must be availed to learner’s proximity; that is in classrooms or supposed learning environmentRecommendations: The study recommends that leaders need to adopt transformative leadership to achieve organizational performance. Organization should embrace transformational leadership and sound policies that will strengthen their position as a fundamental sector in generating human capital for the country’s developmental and economic needs as well as the development of training programs in leadership skills and competences in transformational leadership for the leaders of enterprisesKeywords:  Information communication technology, child education
ҚАЗАҚ ҚУЫРШАҚ ТЕАТРЫНЫҢ БҮГІНГІ КЕЛБЕТІН ЗЕРТТЕУДІҢ КӨРКЕМДІК-ЭСТЕТИКАЛЫҚ НЕГІЗДЕРІ

Puppet art is an art with a special category that has unique personal qualities. This is the Arsenal of expressive means of the unusual art far from unusual dramatic style. The puppet can show the most amazing characteristics in a more common form, when it can not reveal the diverse psychological image of a person. ”For the maximum definition of any human dignity, sometimes the character has to give up some human factors, as a means of reflecting the human characteristics of animals. Even an artist gives human characteristics to inanimate objects. Puppet theater is necessary for people as a non-repetitive form of entertainment. No actor can absolutely show human tone and charm because he is human himself. This world can make a puppet. Because he’s not human.”Puppet theater is one of the most important areas that contribute to the formation of a young child as a conscious citizen. This is a kind of gradation of art, dynamics, versatility, which opens up great opportunities for quick introduction to the audience, comprehensive development of the child from an early age
Developing and evaluating professional competences of students specializing in pedagogy

The article is devoted to the problem of developing professional competences of future teachers of foreign languages during the pedagogical internship while studying at the university. In connection with a constant rise in qualification requirements for the teaching staff of educational institutions of various levels, it is necessary to develop an efficient model for training future specialists in the educational field, enabling high-quality training for the sound solution of modern professional problems. The main professional educational program is focused not only on the quality and volume of acquired knowledge, skills and abilities, but also the level of competency development. All educational disciplines are aimed at developing both general and professional competences; however, it is the pedagogical internship organized during the study at the university that allows evaluating the level of their development in the context of professional activity, to identify possible gaps in professional and pedagogical knowledge, skills and abilities, to identify ways to overcome them. The aim of the research is to develop an efficient model for building professional competences of future specialists in the field of teaching foreign languages during pedagogical internship. The study revealed that such a model should include determining the aims of internship, developing its work program containing all the necessary information about the internship, holding an introductory conference with students, a detailed analysis of all the points of an intern’s individual assignment, explaining the requirements for reporting documentation, methodological support and controlling students during the internship, stocktaking exercise with a clear assessment procedure. The key indicator of the success of pedagogical internship is the level of development of professional competences of future specialists.
Model-based Engineering of Feedforward Usability Function for GUI Widgets

Abstract Feedback and feedforward are two fundamental mechanisms that support users’ activities while interacting with computing devices. While feedback can be easily solved by providing information to the users following the triggering of an action, feedforward is much more complex as it must provide information before an action is performed. For interactive applications where making a mistake has more impact than just reduced user comfort, correct feedforward is an essential step toward correctly informed, and thus safe, usage. Our approach, Fortunettes, is a generic mechanism providing a systematic way of designing feedforward addressing both action and presentation problems. Including a feedforward mechanism significantly increases the complexity of the interactive application hardening developers’ tasks to detect and correct defects. We build upon an existing formal notation based on Petri Nets for describing the behavior of interactive applications and present an approach that allows for adding correct and consistent feedforward.
Qubit-efficient encoding schemes for binary optimisation problems

We propose and analyze a set of variational quantum algorithms for solving quadratic unconstrained binary optimization problems where a problem consisting of $n_c$ classical variables can be implemented on $\mathcal O(\log n_c)$ number of qubits. The underlying encoding scheme allows for a systematic increase in correlations among the classical variables captured by a variational quantum state by progressively increasing the number of qubits involved. We first examine the simplest limit where all correlations are neglected, i.e. when the quantum state can only describe statistically independent classical variables. We apply this minimal encoding to find approximate solutions of a general problem instance comprised of 64 classical variables using 7 qubits. Next, we show how two-body correlations between the classical variables can be incorporated in the variational quantum state and how it can improve the quality of the approximate solutions. We give an example by solving a 42-variable Max-Cut problem using only 8 qubits where we exploit the specific topology of the problem. We analyze whether these cases can be optimized efficiently given the limited resources available in state-of-the-art quantum platforms. Lastly, we present the general framework for extending the expressibility of the probability distribution to any multi-body correlations.
Hole Filling in Image Conversion Using Weighted Local Gradients

Three-dimensional displays have become an important medium.Most of the 3D content for these displays is converted from 2D content.The conversion requires appropriate depth information from 2D images, but the information is insufficient to create high-quality 3D images in many cases.Therefore, converting 2D images into 3D images has become an important issue in emerging 3D applications.As even sophisticated equipment produces noise, cracks, and holes in the converted images, the conversion requires an improved method for creating high-quality 3D images, especially a hole-filling method.This method is one of the techniques in depth image-based rendering (DIBR), which converts 2D single-depth images into 3D images by using a multiangle virtual view and stereoscopic image generation.We propose a new algorithm for hole filling in DIBR that converts 2D images into 3D images by maintaining the depth structure of occlusions and performing morphological operations on images and the background depth levels.This algorithm uses edge information, morphology, gradient vector flow, and weighted local gradients to render holes.Multiview images generated by the proposed algorithm have synthesized virtual views of better quality than those generated by previous methods.
Extending metamathematical framework

[Attached is an accepted version.] In a classical 1976 paper, Solovay proved the arithmetical completeness of the modal logic GL; provability of a formula in GL coincides with provability of its arithmetical interpretations in Peano Arithmetic. In that paper, he also provided an axiomatic system GLS and proved arithmetical completeness for GLS; provability of a formula in GLS coincides with truth of its arithmetical interpretations in the standard model of arithmetic. Proof theory for GL has been studied intensively up to the present day. However, it might sound somewhat strange that no proof theory for GLS was ever developed nor even suggested thus far, except for the axiomatic system offered by Solovay. In this paper, we develop a proof theory for GLS based on the sequent calculus method. We provide a sequent calculus for GLS and prove the cut- elimination and some standard consequences of it: the interpolation and de- finability theorems. As another consequence of cut-elimination, we also prove the equivalence of GL and GLS with respect to a special form of formulas which we call G ̈odel sentences, using a purely proof-theoretical method.
Innovative Approach To The Development Of Professional Thinking Of Students In Classes

The article gives account of the findings of the research on the efficient lecturing techniques and the methods of enhancing students’ cognitive activity at lectures.
Comparative Analysis on Hybrid Content & Context-basedimage Retrieval System

Learning effective segment depictions and resemblance measures are fundamental to the recuperation execution of a substance based picture recuperation (CBIR) structure. Regardless of wide research tries for a significant long time, it stays one of the most testing open gives that broadly impedes the achievements of real-world CBIR structures. The key test has been credited to the extraordinary hole subject that happens between low-level photo pixels got by technologies and raised close semantic thoughts saw by a human. Among various techniques, AI has been successfully analyzed as a possible course to interface the semantic gap in the whole deal. Impelled by late triumphs of significant learning techniques for PC vision and various applications, in this paper, we try to address an open issue: if significant learning is a longing for spreading over the semantic gap in CBIR and how much updates in CBIR endeavors can be cultivated by exploring the front line significant learning methodology for learning feature depictions and likeness measures. Specifically, we explore a structure of significant learning with application to CBIR assignments with a wide game plan of definite examinations by investigating front line significant learning methodologies for CBIR endeavors under moved settings. From our exploratory examinations, we find some encouraging results and compress some huge bits of information for upcoming research.
The Role of Massive Open Online Courses (MOOCS ) Platforms Online in Enhanced Academic Libraries Services : Case Study

The purpose of this study is to identify the role of Massive open onlinecourses ( Moocs ) platforms online provide library services in Minia university andpositives use Massive open on line courses( Moocs ) and their role in Enhanced library service , plus move MoocsPlatforms use by staff in Minia university libraries such as global platforms(udacity – coursera - Edx ) and Arabic platforms( Rowaq – Edark ) the study found multiple results mainly :The most important obstacles faced by staff when using (Moocs ) lack ofEnglish proficiency buy 56.6%Results :1. The Coursera platform is the world's largest online e-learning platformwith 35.6%, the edx platform at 18.5%2. The most thematic areas followed Moocs decisions BusinessAdministration by 16.8%, then the arts by 11.3% and then the socialsciences 16.8%3. The distribution of the sample of the study shows that the percentage ofmales is the most used group for self-learning platforms by 73.7%4. The results of the study show that the most self-learning platforms usedby the employees of the platform platform 36.8% and comes in secondplace platform understand by 13.7%5. The most important obstacles faced by workers when using self-learningplatforms is the lack of proficiency in English language by 56.6% of thedesired access by 20.5%6. The results of the study revealed that the most services provided by thelibraries of Minia University through the self-learning platforms are thecurrent briefing service with 45.3%7. The role of the employees in the context of enhancing library servicesacross the platforms is represented in the service of guidance of thebeneficiaries in the first place by 46.3%. The second place is the literacyskills of 22.3%8. The most advantageous use of self-learning platforms in libraries iscooperation with other university employees by 72.4% followed by theavailability of the library's remote catalog by 22.1%
Klasifikasi Dialek Pengujar Bahasa Inggris Menggunakan Random Forest

Speech recognition is one of the important research fields which is currently widely used for various applications. However, speech recognition performance is affected by the dialect of the speaker. Therefore, dialect recognition is often used as an additional feature in speech recognition. The process of recognizing dialects is not easy. Currently, Machine Learning technology is widely applied in dialect recognition. One of the challenges in the introduction of machine learning-based dialects is the imbalance of classes and overlaps in a wide variety of classification techniques. This study applies Random Forest-based oversampling technology for dialect recognition. For hyper-parameter optimization of the random forest algorithm, we apply the Grid Search method. Experiments on Speech Accent Archive data using the MFCC feature resulted in an accuracy of 0.91 and AUC of 0.95
Security of Data` in Cloud Computing Based on Advanced Secret Sharing Key Management Scheme

Cloud Computing (CC) is a worldwide concept and there are no boundaries define with in the cloud computer which is used to access and store user data can be located anywhere on the global network, depending on where the capacities that are required are available in the global computer networks used for cloud computing. Because of the efficient features of (CC) many Organization are using cloud storage for storing their essential information. The data can be stored remotely in the cloud computing environment by the user and can be retrieved by the client at the time of need. Data security is the major concern in cloud computing. Data Storage is risky because of use of internet by cloud based services which means less control over the store data. Essential elements of cloud is how do we grab all the benefit of the cloud while maintain security controls over the organization assets. Our aim is to propose a more reliable, decentralized light weight key-management scheme (KMS) techniques for cloud system which provide more efficient data security.
Research On Human Body Feature Measurement Based On Multi-parameter Fusion

Due to the high complexity and flexibility of the human body, accurate measurement of human body size is a difficult task. The previous methods to solve these problems usually only improve on one measurement parameter and feature point markers. Such as optimization algorithm, model training, body part segmentation, point cloud processing, break the problem into multiple subtasks, and predict and calculate the size of the human body. In this article, it is recommended to fuse multiple measurement parameters, introduce SIFT algorithm and random forest method to realize the registration of feature points and the prediction of body size respectively, so that the point cloud model can be better integrated, and feature measurement from multiple directions, including: circumference, length, average value, maximum value. Finally, the feature size of the human body is calculated through comprehensive analysis, and then the accurate measurement of the three-dimensional size of the human body is realized. The proposed method is faster in calculation efficiency and higher in accuracy.
Analisa Pola Gadai BPKB Kendaraan dengan Menerapkan Algoritma FG-Growth

Data Mining is a series of processes to explore added value in the form of information that has been known manually from a database by extracting patterns from data with the aim of manipulating data into more valuable information obtained by extracting and recognizing patterns important or interesting from the data contained in the database. The data mining technique has various algorithms and techniques for solving problems related to data, one of which is the FP-Growth algorithm and the technique of association rules. Information displayed using association rules technique, which displays the value of support and confidence from each data mining process. With the FP-Growth algorithm, it is evident from the results of the tests carried out, the FP Growth algorithm and association rules technique run as expected and can be implemented in this Data Mining.
Students’ Perception of E-Learning based on Media Resources in the conditions of COVID-19

© Media Watch | 12 (2) 265-275, 2021ISSN 0976-0911 | E-ISSN 2249-8818DOI: 10.15655/mw/2021/v12i2/160151 Students’ Perception of E-Learning based on Media Resources and Readiness during COVID-19 Veronica M. Grebennikova1, Natalya I. Nikitina2, Zhanna R. Gardanova3, & Ekaterina V. Komarova4 1 Kuban State University, Russia1 A.S. Griboedov Institute of International Law and Economics, Russia2,4 Russian State Social University, […]
The Effect of Preview, Question, Read, Summarize, Test (PQRST) Method on Student’s Reading Comprehension in Narrative Text st Grade Tenth of SMA Negeri 4 Pematangsiantar

This research aims to find out the effect of Preview, Question, Read, Summarize, Test, Method on the students’ reading comprehending in Narrative Text at grade tenth of SMA Negeri 4 Pematangsiantar. There are also several main theories used to support this research, namely; Wormeli (2010), Brown (2000:91), Ary, Jacob & Sorensen (2010), Harmer (2001), Hatch & Farhady (1982), Heilman (1981), Knapp & Watkins (2005),This research was designed as a quantitative method research design. The data that was took in X PMIA 2 as control class and X PMIA 3 as experimental class. The data were obtained through pre-test, treatment and post test. The pre-test was held to know the students’ basic ability or score before treatment was given. Meanwhile, the post test was held to know the students’ achievement and significant effect after the students were taught using PQRST Method. The difference or the improvement as the whole students got in post test from control to experimental group is 345 or 10,14 point in average.The score of that t-test (3,90) is higher than t-table (1,99) at level of significance 5% for two tailed test. so Null Hypothesis is rejected and Alternative Hypothesis is accepted.
Research on Chinese Individualized Reading Teaching Based on "Big Data" Education Platform

In the practice of Chinese teaching, reading teaching is a very core content. Reading teaching can scientifically and comprehensively improve students' reading literacy. In order to effectively optimize the reading ability of students, teachers should actively and comprehensively carry out personalized reading teaching. At the same time, teachers also need to rely on the "big data" education platform to effectively and efficiently improve the overall effectiveness and level of personalized reading, guarantee the quality of students' reading in an all-round way, and better promote the growth and development of students.
Research on Video Segmentation Method Based on Function Iteration

As a product of the development of multimedia technology, video images are becoming more and more accessible to people. Recognizing, understanding and retrieving these video data has gradually become an urgent need. Video segmentation is an important step in video data processing. In this paper, discrete cosine transform (DCT) basis functions are used as auxiliary functions to construct a dynamic system with gray-scale image sequences, and approximate attractors are iteratively obtained. These attractors can be used to distinguish different scenes of video images. Multiple DCT basis function matrices are combined with an image to construct a dynamic system, which can generate multiple approximate attractors, and these attractors can be used as image features. These attractors are subjected to two-dimensional Fourier transform to obtain the transformed matrix, and the correlation coefficients between the matrices are calculated and compared to determine the similarity of the image scene to achieve the purpose of video segmentation. Experiments have verified that this method can effectively segment video clips with high accuracy.