Reviewerly/exHarmony huggingface dataset:
PENERAPAN MODEL PEMBELAJARAN TIPE JIGSAW LEARNING DALAM MENINGKATKAN HASIL BELAJAR IPS

I nstructor or teacher constitute one of determine factor in understanding to receave succesfull education. Aspecially in the curriculum and increasing SDM that success from trial education. It alwaysrecource to factor the teacher it shows that is famous as actor the teacher in education would. It is also efort studying the student.The teacher was demanded to many effort until be able to create the condition effective studying teaching.In under to teach effective the teacher have to increase aclasion study to the student, and to increase quality teach. The aclasion study student is able to increased the way wraparound the student as active in studying. It means the aclasion to study is very higher and optimal the teacher should seriously while teach the student. Heigher imposible achievement study to created while in creass quality to teach so the teacher able to plan teaching program and able to do in the interaction study teaching.
A Critical Review of Islamic Potteries

Among the arts of the era, pottery is one of the most diverse and attractive arts which has always been considered by archaeologists and art researchers. Therefore, many specialized books and catalogs have been published in various languages about this art and its introduction in a variety of ways, many of those publications have been compiled based on the works of a private collection or museum. The present paper seeks to review the translation of one of these books, which is actually a volume of a multi-volume collection dedicated to the introduction of artworks in Nasser Khalili collection. A careful review of the translation of the mentioned book, which has been published under the title of Islamic Pottery, indicates that this work, despite its remarkable print quality and the fluency of the text in some parts, has some serious deficiencies and weaknesses in its translation and edition. From among the most significant weaknesses, serious and numerous problems in recording proper nouns, especially the geographical names and the names of ancient sites, the translator's unfamiliarity with the technical terms and vocabulary of pottery and art, errors and ambiguities in translation, and ultimately the editor's biased and erroneous explanations can be mentioned.
Pemanfaatan Aplikasi Kahoot Sebagai Sarana Ujian Berbasis Online

In improving the quality and quality of learning in educational institutions, technological development is needed in achieving that goal. Especially in the Lower STM 1 High School at the moment trying to take advantage of technological developments to meet the expected goals. Manual exams conducted at SMA Negeri 1 STM Hilir have many obstacles such as the possibility of fraud committed by students when answering exams and require additional time for the teaching staff to check students' test results. Kahoot is a learning media application, where by using kahoot the manual examination process can be changed to online. Therefore, community service conducted by the team is to conduct training in the use of the Kahoot application instead of a manual exam.
Cyber Attacks Against E-Learning Platforms. A Case Study Using Attack Trees

The global context of the first part of 2020 has led to a change in the way humanity has carried out its professional and educational activity. E-learning platforms have become an interesting target for cyber attackers. This paper presents the evolution of Moodle vulnerabilities and a possible AT (Attack Tree) built around this e-learning platform. The AT highlights software vulnerabilities and physical events that can compromise the security / availability of a Moodle platform.
Fountain Codes for Private Distributed Matrix-Matrix Multiplication

We consider the problem of designing codes with flexible rate (referred to as rateless codes) for private distributed matrix-matrix multiplication. A master server owns two private matrices A and B and wants to hire worker nodes to help compute the multiplication. The matrices should remain private from the workers, in an information-theoretic sense. This problem has been considered in the literature and codes with a predesigned threshold are constructed. More precisely, the master assigns tasks to the workers and waits for a predetermined number of workers to finish their assigned tasks. The size of the tasks assigned to the workers depends on the designed threshold.We are interested in settings where the size of the task must be small and independent of the designed threshold. We design a rateless private matrix-matrix multiplication scheme, called RPM3. Our scheme fixes the size of the tasks and allows the master to send multiple tasks to the workers. The master keeps receiving results until it can decode the multiplication; hence the flexibility of the rate. Two main applications require this property: i) leverage the possible heterogeneity in the system and assign more tasks to workers that are faster; and ii) assign tasks adaptively to account for a possibly time-varying system.
Поиск заимствований в армянских текстах путем внутреннего стилометрического анализа

In this work we study the application of intrinsic stylometric methods to the task of plagiarism detection in Armenian texts. We use two task setups from PAN’s series of conferences on text forensics and stylometry: style change detection and style breach detection. Style change detection aims to determine whether the text is written by more than one author, while style breach detection detects the boundaries of stylistically distinct text fragments. For these tasks, we generate synthetic test sets for three genres of text: academic, literature, and news, and then use them to evaluate the effectiveness of hierarchical clustering and other relevant models from PAN conferences. We employ a standard set of character-level, lexical and readability features, and additionally perform morphological and dependency parsing of text fragments to extract syntactic features encoding author style information. The evaluation results show that the clustering-based approach fails to correctly detect style change detection in longer texts and is only marginally better for shorter texts. For style breach detection, hierarchical clustering-based approach performs better than a random baseline classifier, but the difference is not sufficient to warrant its practical use. In a complementary experiment, we show that reducing the number of features and multicollinearity in them via PCA helps to increase the precision of style breach detection methods for certain text categories.
PROJECTIONS IN RELEVANT FACTS OF B3 PUBLIC FIRMS: COVID-19 IMPACTS

The dimensions of the COVID-19 effect and its implications for business are still poorly understood To understand aspects related to this new scenario, this research aimed to analyze the reflections of the first months of the COVID-19 pandemic in the volume of disclosure of relevant facts related to the projections of publicly traded companies in Brazil, Bolsa, Balacao (B3) The Securities and Exchange Commission (CVM) database was used, identifying 1,712 relevant facts (FR) disclosed between 01/01/2020 and 07/31/2020, in addition to 1,421 FR for the same period in 2019 Excluding the canceled and inactive, 2,882 (1,582 in 2020 and 1,300 in 2019) relevant facts were read and analyzed to identify the existence of content about projections The final sample comprised, respectively in 2019 and 2020, 81 and 163 relevant facts, from 48 and 95 companies, which mentioned one of the terms: forecast, projection, estimate, and/or guidance Compared to the same period, there was an increase of approximately 33% in the disclosure of relevant facts in 2020, emphasizing those related to the suspension of projections of activities and forecasts of results The financial and transport sectors were the ones that most disclosed facts in the period, albeit in a non-timely manner This research contributes to the reflection and evaluation of improvements in the forecasting process of accounting information, with the observance of managers' behavior and timing in reporting relevant facts that may impact users' decision-making
CHILDREN WITH DISABILITIES IN EDUCATION AND THEIR PARENTS’ PARTICIPATION PREPARATION

The article provides an overview of philosophical and humanitarian approaches to training parents in an inclusive education and the training system itself. The study purpose is to substantiate, develop and test a system for preparing parents of children with disabilities for assistance in the education, based on the humanistic approach and the axiological concept of philosophy.
PROFESSIONAL DEVELOPMENT FOR HIGHER EDUCATION TEACHING STAFF: AN EXPERIENCE OF PEER LEARNING IN A PORTUGUESE POLYTECHNIC

M. Figueiredo 1, R. Matias2, V. Alves3, N. Bastos2, R.P. Duarte2, B. Ferreira2, C. Cunha2 1School of Education and CI&DEI, Polytechnic of Viseu (PORTUGAL) 2Polytechnic of Viseu (PORTUGAL) 3ESTGV and CISeD, Polytechnic of Viseu (PORTUGAL)
Talk Show Segmentation System Based on Twitter Using K-Medoids Clustering Algorithm

Innovations on a talk show on television can be a threat. Audience will be divided into groups so that it can make a downgrade rating program. Program ratings affect companies that will use advertising services. Television companies will go bankrupt. The biggest source of income is sales of advertising services. One way to overcome them can be analyzed in public opinion. The results of the analysis can provide information about the attractiveness of the community towards the program. But the analysis process takes a long time and can be done only by a competent person so another process is needed to get the results of the analysis that is fast and can be done by anyone. In this study using K-Medoids Clustering in the process of identifying public opinion. The clustering process known as unsupervised learning will be combined with the labeling process. The previous episode's tweet data will be labeled and then used to obtain the predicted labels from other cluster members. Before going through the clustering stage, the tweet data will go through the text preprocessing stage then transformed into a numeric form based on the appearance of the word. Transformation data will be clustered by calculating proximity using Cosine Similarity. Labels from the Medoids cluster will be used on unlabeled tweet data. The cluster results were tested using the Silhouette Coefficient method to get 0.19 results. However, this method successfully predicted public opinion and achieved an accuracy of 80%.
THE MARRAKESH TREATY ON CERTAIN PERMITTED USES FOR THE BENEFIT OF BLIND, VISUALLY IMPAIRED AND PRINT-DISABLED PERSONS

The Marrakesh Treaty to Facilitate Access to Published Works for Persons Who Are Blind, Visually Impaired, or Otherwise Print Disabled (hereinafter MT) was adopted by the WIPO Member States on 27 June 2013, to improve access to books and other printed works for persons with print disabilities. The Marrakesh Treaty entered into force on 30 September 2016 - three months after achieving 20 ratification instruments on 30 June 2016. As of May 2020, 65 countries have ratified the Marrakesh Treaty. It is open to any WIPO Member State or other intergovernmental organizations authorized by its Assembly of Contracting Parties; there is no requirement to be a member of any other international copyright treaty in order to join the Marrakesh Treaty. Worldwide, there are more than 285 million blind and visually impaired persons (hereinafter VIP), 90 per cent of whom live in developing countries. According to the World Blind Union (WBU), less than 5 per cent of books published every year worldwide are made available in formats accessible to VIPs, and, overall, less than 10 per cent of all published materials can be read by blind or VIPs. This is commonly referred to as the ‘global book famine’. The lack of books in accessible formats becomes a real obstacle for VIPs to getting an education, diminishing their chances of getting a job and leading an independent life. Human rights play a fundamental role in justifying the need for this Treaty.
Social Media Thoughtcrimes

As people live out their lives online, there is the ever-increasing question of what is protected expression and what is criminal speech. This article begins to explore this distinction, and advocates for a shift in the way we analyze whether online speech is protected by the First Amendment by suggesting a return to simpler times in First Amendment jurisprudence.
APPLICATION AND ANALYSIS OF TEXT MINING IN MACHINE LEARNING

The feature selection method aims to select from the original feature representative subsets, by evaluating thefunctionality of different features, focusing on reducing the dimension of the features while maintaining thepredictive precision of a classifier. Text documents may be divided into two broad categories of supervised andunmonitored learning strategies by methods for classifying text documents. The controlled classificationprocedure takes an object, usually as an input and outputs the desired value as a vector. A large number ofunknown objects can be examined in an unattended classification method.Text categorization involves alearning methodology, whose applications include language identification, retrieval of information, opinionextraction, spam filters and email routing, etc. Text categorisation may also be considered as a mechanism forthe labeling of different text documents of the natural corpus. Classification of text using various machineteaching mechanisms meets the challenge of high vector attribute dimensionality. Therefore, it is very necessaryto remove noisy and irrelevant attributes from the function set vector by means of a feature selection techniqueso the ML algorithms can work effectively.Feature selection has now played a major role in most efficientsystem for spam detection, pattern recognition, automated organization, document management and informationretrieval. The most important task for an accurate classification is the selection of relevant features, and t heoverview of the text classification is used to achieve their objectives. Finally, the experimental results show thatthe RDTFD approach based on independent features search is more robust and robust than other selectionmethods.
Analisis kesalahan penggunaan ejaan bahasa Indonesia pada teks karangan narasi peserta didik kelas v SD

&lt;p&gt;&lt;em&gt;This study aims to describe: (1) the form of the error, (2) the cause of the error, and (3) the teacher's efforts to overcome the misuse of Indonesian spelling in the essays of fifth grade students of SD Negeri Bumi 1. 67 Surakarta. This research is a qualitative descriptive study with a sample of students' narrative essays. The sampling technique used purposive sampling. Data collection techniques using document analysis and interviews. The data validity test used theory and source triangulation techniques, and referred to PUEBI and KBBI. The data analysis technique uses interactive analysis which includes four stages, namely: (1) data collection, (2) data reduction, (3) data presentation, and (4) drawing conclusions. Percentage of errors in using letters (39.04%), writing words (44.52%), using punctuation marks (10.52%), and writing absorption elements (5.48%). The causes of misuse of Indonesian spelling in student essays include: (1) students do not understand spelling rules and are not aware of mistakes in writing, (2) teachers have not implemented certain strategies, models, or media. The teacher's effort to overcome this is by providing direct corrections and providing training to students to become accustomed to writing.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
An Analysis of the Optimization Strategies of Ecological College English Teaching Based on Artificial Intelligence

At present, the college English classroom teaching model based on artificial intelligence is more abundant than before, but the phenomenon of classroom ecological imbalance is still relatively serious. This article aims at optimizing college English classroom teaching under artificial intelligence from the perspective of ecological teaching to achieve coordinated and sustainable development of college English teaching. In this paper, through a questionnaire survey and interviews with freshmen in A universities about the current situation of ecological university English classroom teaching in the era of artificial intelligence, 65% of the students recognized that artificial intelligence has enriched teaching resources and expanded knowledge. However, the English classroom is still dominated by traditional teaching models, which is not conducive to the development of artificial intelligence teaching models. Combined with the relevant theories of educational ecology, this paper proposes an optimization strategy for college English teaching based on artificial intelligence. The research in this article helps to create a balanced and ecological college English classroom and achieve the optimal teaching.
Feature Selection based on Particle Swarm Optimization and Mutual Information

Today, feature selection, as a technique to improve the performance of the classification methods, has been widely considered by computer scientists. As the dimensions of a matrix has a huge impact on the performance of processing on it, reducing the number of features by choosing the best subset of all features, will affect the performance of the algorithms. Finding the best subset by comparing all possible subsets, even when n is small, is an intractable process, hence many researches approach to heuristic methods to find a near-optimal solutions. In this paper, we introduce a novel feature selection technique which selects the most informative features and omits the redundant or irrelevant ones. Our method is embedded in PSO (Particle Swarm Optimization). To omit the redundant or irrelevant features, it is necessary to figure out the relationship between different features. There are many correlation functions that can reveal this relationship. In our proposed method, to find this relationship, we use mutual information technique. We evaluate the performance of our method on three classification benchmarks: Glass, Vowel, and Wine. Comparing the results with four state-of-the-art methods, demonstrates its superiority over them.
Magnetoresistive Sensors: Printable and Stretchable Giant Magnetoresistive Sensors for Highly Compliant and Skin‐Conformal Electronics (Adv. Mater. 12/2021)

In article number 2005521, Denys Makarov and co-workers demonstrate skin-compliant, stretchable, and printable giant magnetoresistive sensors that can operate in low magnetic fields of 1 mT under extreme mechanical deformations of bending radii of up to 16 μm and 100% stretching. They highlight the application potential of these devices in augmented reality settings, with a sensor-functionalized finger conducting remote and touchless control of virtual objects.
Blended Learning in Increasing Learning Activeness of UNJA Student

Abstract: Blended Learning in Increasing Learning  Activeness of UNJA Student . The research aims to: To improve the effectiveness of Blended Learning in improving learning activity in students UNJA. This type of research is quantitative research with Pre Experiment Draft research with model The One Group Pretest-Posttest. In this study drifting will focus on one group and then in the group at the initial stage will be given an initial test (pre-Test), then given the treatment and after the treatment will be carried out last Test (posttest), hereinafter from the comparison of the initial test (pre-Test) with the last Test (posttest). Analysis results proved that there is a blended learning (X) influence on the learning activity of tutoring and counseling (Y) students. These findings are obtained based on a series of data analysis that shows that the effectiveness of blended learning to the activation of students learned from the results of the difference Pree test of post-test amounted to 36.91%. The result of hypothetical test results that showed the effectiveness of blended learning to the activation of students learned the truth. It shows that more and more combinations of methods with props will influence the active student learning. Keywords: Blended Learning, learning activity.
How Did Diatoms Evolve to Swap Zinc for the Toxic Metal Cadmium?

New network analysis suggests that zinc and cadmium sulfides weathered simultaneously in geological history, making cadmium a suitable substitute in photosynthetic pathways when zinc was scarce.
Trends of developers for selecting web development platform

This research work is conducted to create awareness in the students about the web development platform which is mainly used and to shed light on the taste of developers for different languages. From the stage we start thinking about which platform we should learn and which is most running language in the market now a days. We will also shed light on languages which industries prefer to use.
RHIZOMATIC MODEL OF ONLINE UNIVERSITY EDUCATION IN THE CONTEXT OF THE COVID-19 PANDEMIC IN RUSSIA

1 Kazan Federal University (RUSSIAN FEDERATION)2 International Academic Centre for Language and Development (RUSSIAN FEDERATION)3 Kazan State Power Engineering University (RUSSIAN FEDERATION)
Parallel FCM clustering algorithm of fuzzy number based on cut set

Aiming at the problem of complex method and low efficiency of fuzzy numbers in classification processing, a parallel Fuzzy CMeans (FCM) clustering method based on cut set is proposed. Firstly, according to the decomposition theorem, the fuzzy numbers are divided horizontally into the form of the union of interval numbers, and then the interval numbers are transformed into the determined “real” data, and the parallel FCM clustering algorithm is used to classify the fuzzy numbers. The theoretical analysis and application show that the method has good classification accuracy and efficiency for fuzzy data clustering.
PERANCANGAN MEDIA PEMBELAJARAN INTERAKTIF MATERI SEMESTER 2 STUDI KASUS DI TK WAHYU HIDAYAH DESA PAGERSARI KABUPATEN SEMARANG

The goal to be achieved in research is to make it interactive 2nd semester learning material for Wahyu Hidayah Kindergarten, Pagersari Village. This matter against the background by the medium of learning masish using paper that lacking evision. The purpose of this making use Adobe Flash CS 5 media is to be able to provide convenience in the delivery of learning Interactive multimedia is a media that consists of manyncomponents or media that are connected to one another and are able to interact. Teaching media in the form of interactive multimedia has the ability to save audio visual data, make multimedia especially interactive learning as a supporter of the learning method that was once conveyed through books and direct explanations that are not easily digested by children, so expect the use of interactive CD media that aims to improve learning outcomes can explain that learning media interactive able to provide more interesting and interesting information a lot of fun In collecting data, the method used by the author is by using observation and survey methods. For the making using the Adobe Auditions CS5, Adobe Photoshop CS5, Adobe programs Flash CS5, CorelDraw X5, Format Factory, is expected in the presence of media interactive learning can increase children's interest in learning.
On a Diophantine Equation X^3 -1/Y^3 -1=Z^2

In this paper, a Diophantine equation given by Gary Walsh in an advanced workshop (May 14-16, 2007), on the solvability of Diophantine equations, held at the Lorentz Center of Leiden University, The Netherlands, is studied. The problem goes as Are there infinitely many positive integer solutions to x^3 −1/y^3 −1 =z^2 ?