Reviewerly/exHarmony huggingface dataset:
Efektivitas Strategi Active Knowledge Sharing Dengan Media Video Power Point Berbantuan Screencast O Matic Pada Pembelajaran Bangun Ruang Ditinjau Dari Hasil Dan Minat Belajar Kelas V SD Ngadirejo 1

Mirza Muhammad Iqbal/A510156010. EFFECTIVENESS OF ACTIVE KNOWLEDGE SHARING STRATEGY WITH SCREENCAST O MATIC VIDEO POWER POINT AIDED IN SPACE LEARNING REVIEWED FROM RESULTS AND LEARNING INTERESTS IN CLASS V SD NGADIREJO 1. Essay, Faculty of Teacher Training and Education. Muhammadiyah University of Surakarta. February 2020.The purpose of this study was to determine the effectiveness of the active knowledge sharing strategy with the media power point assisted screencast automatic matic in space learning in terms of the results and interest in learning the fifth grade of SD Ngadirejo 1. This research is a quantitative study with experimental research designs using control classes and experiment. The control class uses an expository strategy, while the experimental class uses an active knowledge sharing strategy with screencast o matic power point video media. The instrument in this study was a matter of tests and questionnaires. The data analysis technique used is the t-test to test the effectiveness of active knowledge sharing strategies with video power point assisted screencast o matic. Data analysis was performed with the help of SPSS 20.0 for windows. Based on the results of the difference analysis, the value of Fcount> Ftable is 2.58> 2.44. Thus it can be said that the results and interest in learning in building material in class V SD Ngadirejo 1 using the active knowledge sharing strategy with screencast o matic power point video media is better than the expository strategy.
PENGEMBANGAN BAHAN AJAR BERBASIS MIND MAPPING UNTUK MENINGKATKAN KETERAMPILAN BERBICARA PADA SISWA KELAS III DI SEKOLAH DASAR

ABSTRACKThis research was motivated by mind mapping based teaching materials to improve the speaking skills of third grade students in elementary schools. The research method used in carrying out this research is the Development Research method by Richey, Klein and Nelson which was developed from the D&D research method with the model used, namely DDE (Design, Development, and Evaluation) using questionnaire instruments and literature study. The data analysis used a Likert scale. The development of teaching materials is carried out in three stages, namely the design stage by analyzing problems in the field such as student needs analysis, learning analysis and concept analysis, and formulating learning objectives, the development stage, and the formative evaluation stage. The resulting teaching material is the development of mind mapping-based teaching materials in improving the speaking skills of third grade students in elementary schools. The feasibility of developing mind mapping-based teaching materials based on the results of the assessment of teaching material media experts and learning practitioners in elementary schools is considered to be very good. Meanwhile, according to the expert lecturer, the learning material is considered good if it is used as learning material in improving speaking skills in grade III students in elementary schools. The student speaking skill assessment sheet based on the results of the assessment of learning experts in elementary schools is very feasible when used as a tool to measure the assessment of students' speaking skills in the development of learning tools in the form of mind mapping-based teaching materials. In the development of teaching materials, it must contain psychological and sociological aspects. Because both of them will meet and be connected to each other. As for the development of this teaching material, it would be better if it was implemented directly in the field so that it could prove the accuracy of the development data in improving the speaking skills of third grade students in elementary schools.Keywords: teaching material development, mind mapping, speaking skills.
Research on the Techniques and Tactics of the World’s Top Badminton Men’s Double Combinations Based on Computer Coding Technology

Abstract Apply digital coding technology and badminton men’s technical and tactical statistical analysis system to analyze men’s doubles competition data, provide statistical results of the position and line of the hitting technique, perform relevant analysis of technical and tactical applications between the opponent and the opponent, and analyze historical events. In addition, the use of computer coding technology to analyze the data, for the athletes to formulate the battle plan before the game, provide effective basis for timely and targeted adjustment of technical and tactics, and make a comprehensive summary after the game.
The Analysis of Intercultural Competence in The Hundred-Foot Journey Movie Written by Steven Knight

Language cannot be separated from the culture, because people use language as a tool for communication influenced by their culture – values, beliefs, and norms. Because of the development of the technology, it is easier for the people to find cross cultural communication in many situations. But in the fact, the importance is not in accordance with the reality. Intercultural competence is still lack to integrate along English language learning in the school. Therefore, the writer was interested to conduct a research in a movie to know what components of intercultural competence were found in the movie and how the outcome that the character showed in the movie based on Deardorff theory.This research was conducted through deep analysis to the script of the movie that used document analysis which gathered two method, content and thematic analysis. It presented five steps of data analysis procedure: prepared the data for analysis (from the script of the movie), read and understood the data, classified (coding), interpreted the data, and made conclusion.The result of this study indicated that there were three components showed in the movie which was suitable with Deardorff theory. They were attitude, knowledge, and skills. The characters also showed the outcome, internal and external, through communication and behavior in facing cross cultural situation effectively and appropriately.
Factor Normalization for Deep Neural Network Models

Deep neural network (DNN) models often involve features of high dimensions. In most cases, the high-dimensional features can be decomposed into two parts. The first part is a low-dimensional factor. The second part is the residual feature, with much-reduced variability and inter-feature correlation. This leads to a number of interesting theoretical findings for deep neural network training. Accordingly, we are inspired to develop a new factor normalization method for better performance. The proposed method leads to a new deep learning model with two important features. First, it allows factor related feature extraction. Second, it allows adaptive learning rates for factors and residuals, respectively. This leads to fast convergence speed on both training and validation datsets. A number of empirical experiments are presented to demonstrate its superior performance. The code is available at https://github.com/HazardNeo4869/FactorNormalization
Augmented Voting Reality

We show how to enhance a classical ballot box to enable automatic tally, while keeping the voter experience as close as possible to the one she already knows. We describe the physical add-on, based on off-the-shelf infrared technology, as well as the cryptographic aspects, for which we rely on self-enforcing e-voting systems by Hao et al.
THE CONCEPT OF COGNITIVE SKILLS IN MODERN SCIENTIFIC REFLECTION

The article presents the concept of"cognitive skills" in the light of modernscientific research against the backgroundof the historical prerequisites for theemergence of cognitive science, includingcognitive psychology, a psychological andpedagogical analysis of this concept intoday`s scientific reflection. Theessentiality and development of cognitivescience, a relatively young scientific branchthat studies intelligence, as well ascognitive processes, are considered. Thedefining events and the mentionedoutstanding thinkers, who played a key rolein the emergence and formation ofcognitive psychology, are noted, thescientific branch of which is the subject ofcognitive processes.The concept of "cognition" is highlighted inorder to comprehensively consider thecontent of cognitive skills and the mainapproaches to their definition. Specifiedscientific branches study cognitivefunctions as biological carriers of the mindand artificial intelligence. A brief excursioninto the history of the emergence andformation of cognitive science is made, therole of fundamental research by Americanscientists made in the 70s of the twentiethcentury is highlighted.The interpretation of knowledge in theavailable popular science resources ofEuropean countries (France, Germany,Spain, the Netherlands), the USA, GreatBritain and China is analyzed. Thepeculiarities of the interpretation of the term"cognitive skills", in terms of translation(including "cognitive skills"), in theetymological and scientific aspects in itsunderstanding by domestic and foreignscientists, taking into account the post-Soviet context of the development ofcognitive science are discussed. The mainkey differences of the concept of "cognitiveskills" are determined by Westernspecialists and domestic scientists, inconnection with which the role of emotions,feelings, will and faith is indicated.Outstanding cognitive scientists and theirachievements that influenced the definitionof cognitive skills are mentioned. Briefdescriptions of psychological andpedagogical research of Ukrainian andRussian scientists are given. The directionof cognitive skills to achieve a specificresult in the educational process, which isenshrined in the Law of Ukraine "OnEducation" is indicated.The importance of the formation ofcognitive skills of students in moderninformation-changing conditions, takinginto account quarantine measures, hasbeen updated.
Model of a personal guide for museum exhibitions

Abstract Cultural and historical institutions in Bulgaria are often underfunded and do not provide sufficiently attractive digital services. All museums develop and maintain scientific passports of cultural artefacts, which contain photographs and specific characteristics of the exhibits. In some cases, they store digitized information in accordance with established standards for the digitization of cultural heritage, such as Dublin Core, SPECTRUM, LIDO, CCO, etc. The widespread use of smartphones provides museums with the opportunity to expand the museum service by dynamically and automatically delivering contextual information about the artifacts. The article presents an approach to creating a personal guide for museum exhibitions, which uses beacon technology to automate the process of providing contextual information about museum exhibits to its visitors.
Políticas Públicas Arquivísticas numa sondagem com a BRAPCI: um mapeamento de comunicação científica brasileira em ciência da informação

It brings up some intrinsic elements representative of the public policy of archiving in information science. This is an exploratory research with the general objective of mapping scientific production on the theme Public Archival Policies, in the articles of journals published in the Database of Referential Database of Articles in Information Science - BRAPCI, in the period of 2011 - 2020 The systematic mapping method guides the analysis and thus confirms a small number of publications, since after the initial stages of systematic mapping (search, collection and filtering of references), a sample consisting of 21 articles , distributed in 13 journals. The results show the prevalence of individual authorship with reduced focus on a collaboration network. It was concluded that the theme remains in vogue, despite the fact that more efforts must be made to guarantee the qualification and the perennial debate of archival policies for their visibility in the 21st century
Scene Marketing In The Era Of Big Data

Abstract Scene marketing is a marketing activity carried out in a certain scene. Its essence is to meet the real or potential needs of users in a specific scene. The scenes are divided into real scenes, virtual scenes, and scenes that combine real and virtual. In the context of the mobile Internet, with the support of big data, scenes have become the core element of communication, and scene marketing has become a popular marketing model. Scene marketing has the characteristics of precision, fun and closed-loop, and has formed a unique marketing strategy in practice.
LibGuides: Welcome to CARL DIAL - the Diversity in Academic Libraries Interest Group: Welcome

DIAL is an interest group of the California Academic & Research Libraries (CARL). We hold meetings and programs to discuss current diversity issues. Short Blurb about DIAL's intentions with this libguide.
Information system of sales accounting on non-profit organization in LPIT Al-Furqan Yogyakarta

There are still many non-profit organizations that use manual information system of sales accounting compared to computerized ones. This study aims to design a non-profit organization's information system of sales accounting in a case study of LPIT Al-Furqan Yogyakarta. Unlike previous studies that use the subject of a trading company, this research uses non-profit organizations engaged in education. Data collection techniques are carried out with methods of observation, interviews, and documentation. The proposed design uses the SDLC method. Sales Transaction Analysis uses PIECES analysis. The results of system analysis show that the sales accounting information system in LPIT Al-Furqan consists of a credit sales system and cash receipt system. The sales procedure includes the invoice making procedure, cash receipt procedures, and sales recording procedures. The design results provide recommendations that also need the development of accounting information systems on LPIT Al-Furqan such as Point of Sale (POS) and Payroll purchase systems so that the system becomes more integrated. It also needs to be developed to produce open-source software on the market so that it can be used by a wider non-profit organization.
SkipW: Resource adaptable RNN with strict upper computational limit

We introduce Skip-Window, a method to allow recurrent neural networks (RNNs) to trade off accuracy for computational cost during the analysis of a sequence. Similarly to existing approaches, Skip-Window extends existing RNN cells by adding a mechanism to encourage the model to process fewer inputs. Unlike existing approaches, Skip-Window is able to respect a strict computational budget, making this model more suitable for limited hardware. We evaluate this approach on two datasets: a human activity recognition task and adding task. Our results show that Skip-Window is able to exceed the accuracy of existing approaches for a lower computational cost while strictly limiting said cost.
Users Awareness of Cyber threats and Consequences in Social Media

Year 2013, the year that the world faced one of the most critical whistleblower cases in the last decades. A government that was accused that intercepted personal information of many users.Nowadays ...
LibGuides: Finding Books to Read for Fun!: Resources for Finding Books

This workshop will introduce participants to useful online resources for finding book recommendations and tools for keeping track of what you've read
Dictionary of percussive coordination

The output is an artefact, ‘Dictionary of Percussive Coordination’, comprising rhythmic notation. Research process: The point of departure for this research was a philosophical investigation upon the nature of, essentially, what percussion playing is and how percussionists conceptualise their activity. This enquiry led to a conception of percussion-playing as the activation of a potentially finite set of interactions across two limbs which interact with time and space. The research seeks to catalogue all the possible interactions, or kinetic ‘letters’, two limbs can encounter within specified parameters: • Occur within one Crotchet (1/4 note) beat. • Use either triplet quaver (1/8th note) or semiquaver (1/16th note) subdivisions. • Use two dynamic positions: pronounced, unpronounced. The systematic integration of these motion coordinations provide artist percussionists with all the possible units of coordination within these specified parameters. Research insight: Drumming is ‘Dance’; an artistic interaction within time and space curating a set of motions which interact with a range of surfaces for the purpose of sound production and emotional communication. Codifying these motions within a single text contributes to our discipline through an alternative conception of what the percussive ‘rudiments’ essentially are and how they can be expressed. Freedom of motion and artistic expression develops as kinetic language is identified, internalised and activated. We ‘speak’ what is possible to speak. Our aim is to speak with freedom, clarity and eloquence. This aim of this text is to develop motion coordination vocabulary and eloquence of activation. Dissemination: This artefact is used as a teaching resource and disseminated amongst Leeds Arts University students.
Defuse: Debugging Classifiers Through Distilling Unrestricted Adversarial Examples

With the greater proliferation of machine learning models, the imperative of diagnosing and correcting bugs in models has become increasingly clear. As a route to better discover and fix model bugs, we propose failure scenarios: regions on the data manifold that are incorrectly classified by a model. We propose an end-to-end debugging framework called Defuse to use these regions for fixing faulty classifier predictions. The Defuse framework works in three steps. First, Defuse identifies many unrestricted adversarial examples--naturally occurring instances that are misclassified--using a generative model. Next, the procedure distills the misclassified data using clustering into failure scenarios. Last, the method corrects model behavior on the distilled scenarios through an optimization based approach. We illustrate the utility of our framework on a variety of image data sets. We find that Defuse identifies and resolves concerning predictions while maintaining model generalization.
The urgency of digital right management on personal data protection

Today, the utilization of technology is not merely for the sake of entertainment, but also the exchange of information, trade, study, and governance. Followed by the increasing level of the technology application in various activities, not a few people become victims or perpetrators of a personal data breach in the cyber world. Thus, it is necessary to implement digital right management (DRM) by the manager of electronic systems, the Government and rights holders in the cyber world in computer systems. The Indonesian government has validated the rules that accommodate the protection of the personal data of each citizen in cyberspace, namely, Act number 14 of 2008 concerning Openness of Public Information, Act Number 19 of 2016 concerning Amendments to Act Number 11 of 2008 concerning Information and Electronic Transactions, Regulation of the Minister of Communication and Information Number 20 of 2016 concerning Protection of Personal Data in Electronic Systems and Presidential Regulation Number 39 of 2019 concerning One Data Indonesia. Based on these rules, all parties involved in the management, storage and exchange of personal data in Indonesia must have an integrated and trusted DRM mechanism.
Feature Sharing Cooperative Network for Semantic Segmentation

In recent years, deep neural networks have achieved high ac-curacy in the field of image recognition. By inspired from human learning method, we propose a semantic segmentation method using cooperative learning which shares the information resembling a group learning. We use two same networks and paths for sending feature maps between two networks. Two networks are trained simultaneously. By sharing feature maps, one of two networks can obtain the information that cannot be obtained by a single network. In addition, in order to enhance the degree of cooperation, we propose two kinds of methods that connect only the same layer and multiple layers. We evaluated our proposed idea on two kinds of networks. One is Dual Attention Network (DANet) and the other one is DeepLabv3+. The proposed method achieved better segmentation accuracy than the conventional single network and ensemble of networks.
Error Analysis on English Consonant Pronunciation Produced By The Fifth Semester Students of English Education Department

This research aimed to find out the mispronunciation of consonants and the most frequently mispronounced consonants produced by the fifth semester students of the English Education Department at Institut Parahikma Indonesia in the academic year 2020/2021. This research applied descriptive quantitative research method. The participants were 14 students from the fifth semester of English Education Department. The data were collected by using a reading text. The data were analyzed quantitatively through three steps: 1) identifying errors; 2) calculating errors, and 3) drawing conclusion. The result of the research showed that nine (9) consonants were mispronounced by the students and one consonant was error-free. The mispronounced consonants were / v /: (19.5%), / ð /: (18.8%), / θ /: (15.5%), / z /: (14%), / dʒ /: (9%), / ɡ /: (8%), / w /: (6.2%), / r /: (4.6%), / ŋ /: (4.3%) and / b /: (-) were error-free consonant. Meanwhile, The most frequently mispronounced consonants were / v / and / ð /.
Nonconvex Continual Learning with Episodic Memory

Continual learning aims to prevent catastrophic forgetting while learning a new task without accessing data of previously learned tasks. The memory for such learning scenarios build a small subset of the data for previous tasks and is used in various ways such as quadratic programming and sample selection. Current memory-based continual learning algorithms are formulated as a constrained optimization problem and rephrase constraints as a gradient-based approach. However, previous works have not provided the theoretical proof on convergence to previously learned tasks. In this paper, we propose a theoretical convergence analysis of continual learning based on stochastic gradient descent method. Our method, nonconvex continual learning (NCCL), can achieve the same convergence rate when the proposed catastrophic forgetting term is suppressed at each iteration. We also show that memory-based approaches have an inherent problem of overfitting to memory, which degrades the performance on previously learned tasks, namely catastrophic forgetting. We empirically demonstrate that NCCL successfully performs continual learning with episodic memory by scaling learning rates adaptive to mini-batches on several image classification tasks.