Reviewerly/exHarmony huggingface dataset:
Pengaruh Literasi Finansial Berbasis Virtual Reality pada Kemampuan Berfikir Kritis Siswa

This type of research is an experimental study consisting of two classes with different treatments. This study aims to determine (1) critical thinking skills of students who are taught using virtual reality-based financial literacy, (2) critical thinking abilities of students taught using power point media-based financial literacy, (3) the effect of learning using virtual reality-based financial literacy on students' critical thinking skills. The population of this study were students of class VII B as the experimental group and class 7 A as the control group, at SMP N 2 Banjarnegara in the odd semester of the 2020/2021 school year, the sample was using the simple random sampling method. The research data were analyzed using descriptive and inferential statistical analysis techniques. The results of descriptive statistical analysis are as follows: (1) The critical thinking ability of students who are taught using virtual reality-based financial literacy is in the high category with an average of 88 with a standard deviation of 12.836601 from a maximum score of 100, (2) Critical thinking skills students taught using virtual reality-based financial literacy are at an average of 66 with a standard deviation of 15.47284289. From the results of inferential statistical analysis, Fvalue &lt;Ftable (0.6908436214 &lt;1.85) so that H0 is rejected or there is a significant effect of learning using virtual reality-based financial literacy on students' critical thinking skills. Observations show that students are more interested in financial literacy using virtual reality because students feel the sensation of interacting with the real environment, visualizing abstract things to be easy to understand and increasing their imagination.
Proposing an SLR exploring the assumptions and requirements of the negotiation protocol in MAS

The multi-agent system (MAS) community has put noteworthy endeavors in recording design patterns. In spite of the substantial body of work, design patterns for MAS have gotten the consideration they merit, neither in the agent-situated programming community, nor among programming expert. Albeit a large portion of these approaches have just begun investigating the point, there is a looming requirement for building up an exploration guide, just as recognizing logical and technological challenges in this degree. The examination demonstrates that there is an absence of a standard format for reporting design patterns for MAS, which hampers the utilization of patterns by practitioners,) relationship between patterns are ineffectively portrayed, which results in an absence of diagram of the pattern space, patterns for MAS have been utilized for an assortment of use areas, which supports their high potential for practitioners, and arrangements of design patterns for MAS are limited to explicit pattern lists, a progressively all encompassing perspective on the pattern space is absent. From our examination, we plot various guidelines that are vital for future work on design patterns for MAS and their appropriation by and by.
SISTEM INFORMASI PENERIMAAN KARYAWAN BARU (PKB): (Studi Kasus : PT.Pou Yuen Indonesia)

Information system is as a system which consists of technology or tools, media used,organized procedures, and human resources which work as a combination to form anorganized system.Recruitment of new employees is one of the processes in the company agency that is usefulfor screening selected prospective employees according to criteria determined by thecompany to become employees. In the process of recruiting new employees at PT. PouYuen Indonesia, it has been done manually or has been computerized but uses MicrosoftOffice Excel. To improve data storage security, automate calculation of test scores, andease of providing new employee recruitment information, an application for newemployee recruitment information systems is needed at PT. Pou Yuen Indonesia.Keywords : Information Systems, Employee Reception, work, police
PENDEKATAN TIPE REFLEKTIF PADA DOKUMENTER “MELEBIHI BATAS” SEBAGAI POTRET TINGGINYA TINGKAT KECELAKAAN TRUK TANAH DI TANGERANG

Rapid growth and development in urban areas led to the increasing needs of infrastructure and basic urban facilities such as housing, apartment, hotel, education, market, and so on. In the construction phase, such as land procurement and decomposition, there is a means of transportation. The use of a large capacity truck is true to increase development efficiency, such as time, energy and budget. But not least the negative impact of large-capacity trucks, ranging from road damage to mental casualties. In terms of carriage, not a few dump trucks are over-loaded and cross-free. The problem of the truck in the district of Tangerang is actually stipulated in the Regent Regulation Number 47 year 2018, on the restrictions on the schedule of goods and mining products. The creator's goal with this investigative documentary is to deepen and uncover the fact of alleged infringement by a large- capacity truck driver. In this investigative documentary the Creators act as director. The designer performs 3 stages i.e. pre production, production, and post production. The designer as director uses the Reflexive type as it corresponds to the message that the designer wants to convey through a visual in the opening of the truth. The designer used a handheld camera technique into a exceeded limit documentary because it perfectly matched the theme of the investigation which often ignored the visual composition and emphasized more on the object being taken and attempted to feature interesting visuals and stories, so that the work can be enjoyed by the audience.
Stack and Deal: An Efficient Algorithm for Privacy Preserving Data Publishing

Although k-Anonymity is a good way to publish microdata for research purposes, it still suffers from various attacks. Hence, many refinements of k-Anonymity have been proposed such as ldiversity and t-Closeness, with t-Closeness being one of the strictest privacy models. Satisfying t-Closeness for a lower value of t may yield equivalence classes with high number of records which results in a greater information loss. For a higher value of t, equivalence classes are still prone to homogeneity, skewness, and similarity attacks. This is because equivalence classes can be formed with fewer distinct sensitive attribute values and still satisfy the constraint t. In this paper, we introduce a new algorithm that overcomes the limitations of k-Anonymity and lDiversity and yields equivalence classes of size k with greater diversity and frequency of a SA value in all the equivalence classes differ by at-most one.
THE EFFECTIVENESS OF EXTRACURRICULAR EDUCATION IN THE FORMATION OF SUBJECT COMPETENCIES IN BIOLOGY AND HUMAN HEALTH IN SECONDARY SCHOOL STUDENTS

The possibilities of out-of-school education in the formation of subject competencies in Biology and Human Health in secondary school students have been studied. Peculiarities of out-of-school education and their role in ecological-naturalistic education of students are revealed. The pedagogical experience of creating out-of-school circles on Biology, Ecology and Human Health in Novomoskovsk district of Dnipropetrovsk region is investigated. A pedagogical experiment was conducted to test the effectiveness of extracurricular education in the formation of subject competencies in Biology and Human Health in secondary school students who additionally attend the society ‘Young Nature Conservationists’. It is shown that the training load provided by the Curriculum ‘Young Nature Conservationists’ for the study of the section ‘Natural resources of Ukraine. The flora and its protection’ (60 hours) offers an opportunity to consider in detail such topics that according to the programme of the Biology course for the 6th grade at the secondary school have an insufficient number of learning hours. In the process of learning different methods of teaching and learning were used, practical methods and hands-on experience were prevailing. Thus, excursions are the major learning forms to study the local nature reservation areas in Novomoskovsk district of Dnipropetrovsk region. During the excursion the members of the society were learning about the geography, soils, flora and fauna of their environment, were strengthening their health, and became aware of the necessity to keep fit and healthy and preserve nature. The members of the society ‘Young Nature Conservationists’ also participated in a range of contests aimed at developing ecological thinking, preserving nature, creativity and forming major competences in Biology, Ecology and Human health. It is established that the developed set of educational classes increases the efficiency of formation of competences in Biology and Human Health and their components (logical-semantic, cognitive, operational, research) of members of the group ‘Young Nature Conservationists’, increases children`s satisfaction with the forms of teaching and teaching methods, and ensures students’ interest in biology and ecology studied by them at the Centre for Extracurricular Education.
Infographics as a Tool for Visualizing Information in the Media

The article is devoted to the infographics as the most perspective research in mass media. It also reveals the principles of infographics, as well as the classification based on the criterion of visualization.
ATTRIBUTES BASED BEHAVIOR PATTERN ANALYSIS OF ASSOCIATION MINING ALGORITHMSUSING GROUNDWATER DATA

One of the most widely used data mining methods is frequent itemset mining. Apriori, Eclat and FP-Growth are the predominantly used algorithms in association mining. A lot of analysis has been going on to establish the relative supremacy of the algorithms when it comes to scalability with respect to increase in the data size. Although there are ample papers that talk about data size already available, a majority of them have never explored the performance of dataset containing unique itemset characteristics.This paperexamines two important data attributes that can have a drastic impact on algorithm performance. Empirical study has been carried out with groundwater dataset and the roles of frequent item density and transaction size with respect to performance were monitored. In addition to gauging performance, the study also helps us understand the dataset in its relation to the algorithm used to study it. The results show that both Eclat and FP-Growth handle impact of transaction size and itemset density increase far better than the Apriori algorithm.
대학 국제연구협력 강화를 위한 대학교 국제연구협력 동향 분석

(Purpose) This study tried to understand the current status of international research cooperation at universities based on the results of analyzing the current status of university institutions.(Design/methodology/approach) For this study, first, based on the literature review related to international research cooperation, the theory related to international research cooperation of universities was established. Second, the database of information sources related to international research cooperation of universities was analyzed.(Research implications or Originality) As a result of the study, first, based on the introduction of universities conducting international cooperation, the keywords with the highest frequency appeared in the order of international, exchange, education, research, student, program, institution, and overseas. Second, as a result of analyzing the contents of cooperation being conducted through sisterhood ties with international university institutions and MOUs at universities, the conclusion of academic exchange agreements, membership in international conferences and activities, operation of various international exchange programs, exchange students, double degrees, global internships It was found that there are teaching and learning programs such as language training, academic support and exchange professor programs, research cooperation, workshops and forums, and education and research support on Korea to revitalize Korean studies. As a prerequisite for expanding cooperation with domestic and international universities, it is necessary to strengthen the university''s own interest and support in terms of fulfilling its social responsibilities. At present, the recognition of international research cooperation within universities is low, as items on participation in international development cooperation projects are not reflected in the evaluation of professor accompanied so that individual professors or affiliated research institutions can more actively engage in international research cooperation projects, and system improvement should also be made if necessary.
Exploring the boundaries of an AE-based quality model: a performance analysis via synthetic content

The No-reference Autoencoder VidEo (NAVE) metric is a video quality assessment model based on an autoencoder machine learning technique. The model uses an autoencoder to produce a set of features with a lower dimension and a higher descriptive capacity. NAVE has been shown to produce accurate quality predictions when tested with two video databases. As it is a common issue when dealing with models that rely on a nested non-linear structure, it is not clear at what level the content and the actual distortions are affecting the model&#x2019;s predictions. In this paper, we analyze the NAVE model and test its capacity to distinguish quality monotonically for three isolated visual distortions: blocking artifacts, Gaussian blur, and white noise. With this goal, we create a dataset consisting of a set of short-length video sequences containing these distortions for ten very pronounced distortion levels. Then, we performed a subjective experiment to gather subjective quality scores for the degraded video sequences and tested the NAVE pre-trained model using these samples. Finally, we analyzed NAVE quality predictions for the set of distortions at different degradation levels with the goal of discovering the boundaries on which the model can perform.
Implementation Parallel Computation for Automatic Clustering

Developments in the industrial world, especially in the field of computer technology, demand solutions to needs ranging from computing resources, storage media, and communication speeds. This was followed by many new studies in this field, including those related to clustering. Clustering is an exploratory data analysis tool that deals with the task of grouping objects that are similar to each other [1], [2]. Clustering requires computers with high resources, usually the price for computers with high resources, while computers with not too high specifications will be less reliable in handling such large data. Clustering that runs on a single-core processor takes a long time to execute tasks, so parallel computing is needed to speed up computing performance especially at Automatic Clustering. This research will produce faster performance in grouping large data by utilizing parallel computing and automatic clustering methods as methods for grouping data. This technology allows data processing to be carried out in parallel and distributed in hundreds or even thousands of computers, so this technology is very appropriate for processing very large amounts of data)
DIGITAL EDUCATIONAL RESOURCES USE IN ENGLISH LANGUAGE TEACHING IN CHINA

1 Peoples' Friendship University of Russia (RUDN University) (RUSSIAN FEDERATION)2 Pushkin State Russian Language Institute (RUSSIAN FEDERATION)
Extending rational models of communication from beliefs to actions

Author(s): Sumers, Ted; Hawkins, Robert; Ho, Mark K; Griffiths, Tom | Abstract: Speakers communicate to influence their partner's beliefs and shape their actions. Belief- and action-based objectives have been explored independently in recent computational models, but it has been challenging to explicitly compare or integrate them. Indeed, we find that they are conflated in standard referential communication tasks. To distinguish these accounts, we introduce a new paradigm called signaling bandits, generalizing classic Lewis signaling games to a multi-armed bandit setting where all targets in the context have some relative value. We develop three speaker models: a belief-oriented speaker with a purely informative objective; an action-oriented speaker with an instrumental objective; and a combined speaker which integrates the two by inducing listener beliefs that generally lead to desirable actions. We then present a series of simulations demonstrating that grounding production choices in future listener actions results in relevance effects and flexible uses of nonliteral language. More broadly, our findings suggest that language games based on richer decision problems are a promising avenue for insight into rational communication.
The pedagogical model for developing the research competence of teachers in general education

The article proposed for publication highlights the principles of research competence and the strategic components of the development of teachers’ research competence. We consider that the pedagogical model for the development of research competence would be useful in the didactic activity and will contribute to the increase of the quality of the instructive-educational process.
Proposed Efficient Clustering Technique for Data Mining: The Design and Implementation

The large data can be collected from distinguish resources and make a pattern from the collected data. The pattern of the data can be used to create a useful information and for taking decisions in the critical situation. Data mining is a method which is used to extract the important information using some predefined methods or techniques. Clustering is a method of data mining which is used to clusters a group of similar kind of objects or information. There are some clustering techniques such as k-means, k-mode, and k-prototype used to apply in numerical datasets. The proposed work does not require an estimation or value of clusters k for the input purpose. It indicates the outlier to the object which is not satisfy the objective function. To evaluate the performance of the generated clusters using the comparison with enhanced k-means and existing method. The algorithms developed in the present work have been implemented in C# and the output of the original algorithms are obtained using software RapidMiner. The results have been verified on various datasets of different dimensions and sizes ranging from three to fifteen in dimensions and hundreds to thousands in size. The datasets have been obtained from UCI Machine Repository and KEEL Data Repository. The performance evaluation can be measured with existing k-means algorithm and also shows a comparison with k-modes, k-means and K-Prototype algorithms.
MANAGEMENT OF POLITENESS STRATEGIES AND RHETORICAL DEVICES IN DONALD TRUMP’S SPEECHES DURING THE CONFLICT WITH IRAN: PRAGMATIC VIEW

The research aims to figure out the use of politeness strategies and rhetorical devices used by Trump and attempt to reveal the behavior and purpose behind the speeches delivered by Donald Trump during the conflict with Iran taken by the videos in The White House channel on YouTube which are published on January 4th and 9th, 2020. This study employs a descriptive qualitative method by involving the theories by (Brown &amp; Levinson, 1987), (Jowett &amp; O’Donnell, 2012), (G., Preminger, &amp; Brogan, 1994), and Wodak (1987). This study found that Donald Trump mostly uses positive politeness to attend his audience’s attraction to reach his goals and based on the data of the occurance of rhetorical devices, Donald Trump mostly uses Ethos in persuasion which means he frequently shows his good characteristic to reveal people’s trust and followed by using manipulation in each of his in order to manipulate people for achieving his purposes.
한국어 겹문장 체계에서 서술어의 논항으로 기능하는 절의 문제

In this paper, we reviewed on the issues of Korean complex sentence, and proved that these issues is caused by the limited discussion of the concept of Korean embedding within the part-of-speech system. Further, In the Korean language, We studied that the predicate of higher sentence required clause as its complement, and for example, we looked at quotative clause, SEA construction, and essential adverbals.Accordingly, We discussed that is should be divided into the embedding of part-of-speech and the embedding of sentence constituent to incorporate these clauses into the Korean complex sentence system, and describe that the embedding clause in terms of sentence comstituent by dividing them into “complement clause” and “adjunct clause”. the complement clause is required as complement by the predicate of higher sentence and the adjunct clause is not required by the predicate of higher sentence, but function as an adjunct of the sentence.
RESULTS OF THE APPLICATION OF INFOGRAPHS AS A TOOL IN UNIVERSITY TEACHING

This text analyses the result of the application of infographics as a teaching tool in university teaching.In this case, this study focuses on the analysis of the results obtained from this educational innovation used to deliver the subject "Introduction to the Conservation and Restoration of golds and polychromies" as part of the Degree in Conservation and Restoration of Cultural Heritage at the Universitat Politècnica de València.Infographics are presented as a visual, attractive, didactic and dynamic ICT tool, considered to be very useful, as it contains complex content in diagrams, which follow current social visual codes and can provide a service applicable to many disciplines, if it focuses on the direction of information transfer in teaching.The aim of this study is to assess the results obtained after the application of individual and group infographics, as an element of evaluation of content acquisition, combined with other teaching techniques.The students' own assessment is taken into account, focusing the study on whether it has been useful for their learning, if it helped them synthesize content and develop their practical and critical thinking.
MANAGING UNIVERSITY ONLINE TEACHING AND LEARNING DURING THE COVID-19 PANDEMIC: TIME FOR REFLECTION FROM LECTURERS’ PERSPECTIVES

MANAGING UNIVERSITY ONLINE TEACHING AND LEARNING DURING THE COVID-19 PANDEMIC: TIME FOR REFLECTION FROM LECTURERS’ PERSPECTIVES
MULTIMODAL ANALYSIS ON SPRITE ADVERTISEMENT

This study examines the multimodal analysis of Sprite ads.This study aims to see what multimodal is in the advertisement.The theory used in this study is a semiotic approach related to a multimodal system which includes linguistic, visual, audio, gestural, and spatial aspects (Anstey and Bull 2010; Bateman and Schmidt, 2012; and Chandler, 2007).The data are videos made in Indonesia and are 30 seconds long.Videos are analyzed based on five multimodal semiotic systems to understand and investigate the multi modes of communication within them.
PERANCANGAN SISTEM INFORMASI PENYEWAAN RUSUN OTORITA BATAM BERBASIS WEB

As the party that manages the Batam city flats, it is hoped that Disperkim will be able to provide good service and deliver information that is easy for residents to understand. One of the obstacles that exist in the Batam Authority Flats is the lack of information about the Batam Authority Flats rental process, it is also difficult for admins in managing the data that is collected. still a paper archive. So we need a system that functions to facilitate the rental process at the Batam Authority flats that uses the PHP programming language and the method used is the waterfall method and MySQL as the database. Where the purpose of this research is as follows to facilitate and assist the Admin in terms of data management of the Web-based Batam Authority Flats rental information system, as well as make it easier in terms of making reports on the Batam Authority Flats tenant information system, also facilitating the provision of information to parties parties who need the data on the rental of the Batam Authority Flats based on the Web, and using the new web-based information system as a substitute for the old system.