Reviewerly/exHarmony huggingface dataset:
Background of interdisciplinarity within art history and design

The purpose of the article covers the background of interdisciplinarity in art history and design, identifying main movements that contributed to the formation of the interdisciplinary methodology of the XXI century. The research methodology is in applying of historical-comparative and chronological methods, as well as the method of terminological analysis, which helped to identify and consider the theories in philosophy, aesthetics, culture, oriented towards the consistent development of the system methodology, as well as their application in art history and design. The scientific novelty of the study is to broaden the understanding of the occurrence and formation of interdisciplinary methodology in art history and design, identifying the movements that contributed to the synthesis of knowledge. Conclusions. The movements in philosophy, aesthetics, and culture of the 20th century, covered in this article, contributed to the occurrence of a general scientific interdisciplinary methodology that is still relevant today. The progressive development of the systematic process is reflected in he structuralism and poststructuralism which specific to Western European art. The formation of systematic methodology in the USSR is also important. This commitment for integration has brought together the concepts and methods of different sciences, which served for building synergies with its common basis for describing the mechanisms of occurrence of any phenomena in nature, technology, society. Synergism is aimed at studying processes in complex, dynamic, self-organizing systems. At the same time, the laws of self-organization of these systems are not private, but universal in the character of the transition from the lowest forms to the highest, from one order to another, and therefore apply to the study of culture and art.
Analysis of Papers Based on Sentiment Analysis Applications on E-Commerce Data

Sentiment Analysis is the computational treatment of opinions, sentiments and subjectivity of text and use them for the benefit of the business operations. This survey paper tackles a comprehensive overview of various sentiment analysis applications related to E-commerce data and includes analysis of related papers from 2008 to 2020. This paper gives overall idea about various data pre-processing techniques, Sentiment Analysis algorithms, its accuracy, further improvements and other related details of each referred applications used, as literature survey in the area of E-commerce. The main contributions of this paper include comprehensive analysis of many relevant E-commerce articles, illustration of data pre-processing techniques and the illustration of the recent trend of research in the sentimental Analysis and related areas.
חובתם של נושאי משרה ציבורית לומר אמת לציבור &lt;br&gt;The Duty of Public Servants to Speake Truth to the Public

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The Approach Analysis on the Course Setting and Teaching Effectiveness of Public Physical Education in Higher Vocational Colleges

After a series of reforms, the curriculum of public physical education in China's higher vocational colleges has developed to health first as the guiding ideology, but there are still problems in the structure, content, assessment and rating system. The author makes a brief analysis and exposition on this, and puts forward some relevant reform suggestions, hoping to help improve the effectiveness of teaching.
Research Data Culture Conversation 2019 National Meeting Presentation

As part of a collaboration with the ARDC, the RDCC held national meetings as part of a consultation process to determine the challenges and potential next steps for research data (as an asset) management). These slides were presented as part of these consultations.
FORMATION OF SELF-ANALYSIS SKILLS DURING USING CRITICAL THINKING STRATEGIES IN LEARNING

The main goals of this research are developing self-analysis skills through the using of critical thinking strategies in learning. The article presents the importance of self-analysis and the impact of reflection on the planning of further educational activities, managing education through the use of strategy data. The main critical thinking strategies are listed, special tools are identified and developed that are applicable in the study of an advanced biology course. A self-analysis table has been make, in accordance with the development of certain skills and abilities necessary for studying an advanced biology course and preparing for formative, summative assessments and an international exam.
GRAMMAR-NAZI ANALYSIS IN ENGLISH LEARNING PROCESS AMONG MILLENIALS IN INDONESIA

Social media, which was originally used to communicate with other people via online, has begun to be used to exchange knowledge so that it makes it easy for many people to learn more flexibly and without boundaries. Indonesian people are more motivated to learn and practice English through social media, considering that the ability to speak English is a special value when applying to job. However, the main function of social media itself, namely the freedom of expression and opinion, is also an inhibiting factor in learning English. Lots of social media users seem to be less wise in their opinions, especially on grammar issues and do not hesitate to criticize grammatical errors in English posts. The term grammar-nazi is usually attached to these people who tend to correct the grammar. This is the main focus of researchers to conduct grammar-nazi analysis in the process of learning English among millennials in Indonesia which is carried out online. Our research process includes data collection through observation, open coding techniques, axial coding, selective coding, synthesis of results, drawing conclusions, and providing suggestions. Some opinions such as Lauren &amp; Connie (2005) and Mohd Amin et al. (2016) in their research provides an overview of the responses of users who showed a positive with this phenomenon. Meanwhile, research by James E. Carroll (2016) and Sherman &amp; Jaroslav (2014) shows a negative response disagreeing with this phenomenon. The results of this study are expected to be able to provide a sufficient account on grammar-nazi phenomenon in the process of learning English among millennials in Indonesia.
Oral English Recognition Teaching System Based on Natural Language Processing and Emotional Analysis

The HMM model is widely used in speech recognition systems because of its high efficiency and good stability. It contains observable sequence and hidden state sequence. It is a process of finding the optimal hidden state sequence by means of an observable state set and characteristic parameters. In this paper, the author designs an oral English recognition teaching system based on natural language processing and emotional analysis. The system chooses several functions which are suitable for mobile terminal development, and provides users with basic modules for learning and practicing spoken English, including speech recognition, voice assessment, spoken broadcast and spoken dialogue. Although the endpoint detection algorithmhas been used to remove certain white noise, it has not completely eliminated the noise, and the speech recognition rate has been affected.Keywords: Natural language processing; Emotional analysis; English recognition; Training systemCite AsW. Li, Oral English Recognition Teaching System Based on Natural Language Processing and Emotional Analysis, Engineering Intelligent Systems, vol. 287 no. 3, pp. 95-102, 2019.
LibGuides: Teaching & Learning: Learning Resources

Overview of services provided by the Teaching & Learning department with recommended resources and more.
INTEGRASI TEKNOLOGI INFORMASI DALAM PEMBELAJARAN ANAK USIA DINI

Early childhood is a golden age period. At this age the development period is observed. Learning media will help the effectiveness of the learning process in delivering messages and contents. Sometimes teachers ignore the use of learning media, whereas information technology tools in learning media, especially audio – visual media, can be applied. Utilization of IT aimed to motivate children in learning that can be easily understood by them. The following steps by using audio visual media in teaching are: preparing a notebook, projector, sound system, cable, video presentation, and the important thing is paying attention to the students’ sitting position in a comfortable state and allowing them to pay attention to the video. The teacher conveys the learning objectives and learning techniques, then students watch the show. After that, students will be given a follow-up in the form of questions related to the video content. Keywords: Learning process, IT, and early childhood
Pengembangan Tanoga Card Sebagai Media Permainan dan Edukasi Toga Berbasis Teknologi Bagi Siswa SD

This study aims to 1) describe the Tanoga Card prototype; 2) describe the results of the Tanoga Card feasibility test; and 3) describe the results of limited trials of game media and technology-based education for elementary students. This type of research is research and development (R&D). Data collection techniques using observation, interviews, and questionnaires. Data analysis techniques used are qualitative data analysis techniques and quantitative data analysis. The result of the research are 1) that the product developed is a media game and Toga in the form of IT-based cards or flashcards with the help of QR code and Wix.com platform website. Media Tanoga Card developed consists of several parts including a media container or box, cards, board games, user manuals, and websites. 2) Product viability is obtained by conducting media validation and material validation by Expert I and Expert II. The results of the media feasibility test of 4.35 which if converted into qualitative data means that the media criteria can be said to be very good. The results of the material feasibility test were 4.28 so it can be said to be very good. 3) Tanoga Card media limited trials were conducted on students assessed by expert practitioners I and practitioner II experts with a value of 4.825 so that it can be said to be very good.
Image Steganography based on Fractional Random Wavelet Transform and Arnold Transform with cryptanalysis

Steganography is a means to hide information which is mainly confidential in order to avoid leakage of important data. In medical diagnosis it is necessary to hide the medical records of the patients on moral grounds. This research paper applies image steganography using Fractional Random Wavelet Transform (FrRnWT). Using this transform steganography is achieved by embedding the secret image onto a cover image. We make a comparison with another transform, Discrete wavelet transform (DWT), a frequently used to transform images in image steganography. To further increase the security of the information we use Arnold scrambling algorithm to prevent any unauthorized access of information. The performance is analyzed by the computing the following parameters: PSNR and MSE and exposing the system to attacks to compare their imperceptibility and robustness. The results are shown to observe the effectiveness of the proposed method.
A Variational Level Set Approach to Multiphase Multi-Object Tracking in Camera Network Base on Deep Features

Background and Objectives: Object tracking in video streams is one of the issues in machine vision that has many applications. Depending on the type of the object, the number of objects and other inputs used in tracking, object tracking is divided into several different categories. Multi-object tracking in a camera network is one of the most complex types of object tracking. In this type of tracking, the goal of the algorithm is to extract the persistent trace of several objects moving simultaneously in a wide area that is monitored by a network of cameras. This type of tracking is often done in two steps. In the first step, the traces of each object in each camera is called tracklets are extracted. Then, the persistent trace of the objects are obtained by associating the extracted tracklets of all cameras in the monitored wide area. Here, we introduce a novel variational approach based on the deep features to associate the tracklets.Methods: For this purpose a variational model with multiphase level set representation is introduced. The persistent trace of all objects are obtained by optimizing the proposed variational model. The proposed variational model is optimized by employing the Euler-Lagrange equation. CNN and deep learning are used to extract the deep features of appearance and motion of objects. Here, a ResNet50 network that is pre-trained on ImageNet and a transformer neural network which is trained with motion parameters of tracklets such as acceleration and orientation change rate are used for extracting deep features.Results: The results on the three well-known datasets which are real and a synthesized dataset show that the proposed model takes competitive performance, while using less extra context information of the camera network and objects, compared to the other proposed methods. The evaluations show the quality of the proposed model in solving complex problems using the minimum required initial knowledge.Conclusion: The multiphase model using deep features presented in this paper provide 9% better results than the multiphase model without deep features based on TCF and FS metrics and 8% better results based on MT metric.
Content Gradation OF Sundanese Textbooks for Junior High School and Senior High School (Review Of Facts, Concepts, Principles, and Procedures in The Field of Sundanese Language Study in 2013 Local Content Curriculum Revised 2017)

The main reason for conducting this research is that Sundanese textbooks do not describe the material gradation standards according to the needs and background of students at each level of Education, in addition to not presenting a systematic material structure. In connection with the reason above, the purpose of this study is to examine the gradations and structure of the material contained in the Sundanese textbook for Junior High School/MTs and Senior High School/Vocational/MA students. The method used in this research is the description method. While the data collection technique used in this research is library research techniques. The technique is used to describe data based on gradations and structure of subject presented in Sundanese textbooks based on education levels. The data processed in this study is Sundanese language learning materials including 1) literary forms of poetry: poetry, circumcision, &lt;em&gt;wawacan&lt;/em&gt;, satire, &lt;em&gt;pupujian&lt;/em&gt;, &lt;em&gt;sawer&lt;/em&gt;, and &lt;em&gt;kawih&lt;/em&gt;; 2) literary forms of prose: fairy tales, short story, novels, puppet story, and drama; 3) non-literary texts: speeches, writers, letters, reports, debates, interviews, and reports reading. As for, the source of the data is Sundanese textbooks for Junior High School/MTs and Senior High School/Vocational/MA students based on the 2013 Local Content Curriculum Revised 2017. The finding of this study is that the composition of Sundanese textbook material for Junior High School/MTs and Senior High School/Vocational/MA students in accordance with the 2013 Local Content Curriculum Revised 2017, nevertheless, not paying attention to the gradation of the material. Things that unintentionally missing from the authors are 1) gradation of writing indicators from competencies achievement or learning objectives, 2) scope of material presentation and depth of material, and 3) variations of operational verbs on the writing tasks. This research can be used as a consideration in compiling the material presented in the textbook, so that the content presented ca be in accordance with students' needs and background based on their level of education.
Teacher's Perception of Mobile Game-Based Assessment in ELT Context

Mobile-based assessment is one of the ways that can be applied to English teachers to produce a good teaching-learning process in the English Language Teaching (ELT) context. In this era, the use of technology has created new possibilities. In this digital era, the students need to have significant
Multilingual Named Entity Recognition and Matching Using BERT and Dedupe for Slavic Languages

This paper describes the University of Ljubljana (UL FRI) Group’s submissions to the shared task at the Balto-Slavic Natural Language Processing (BSNLP) 2021 Workshop. We experiment with multiple BERT-based models, pre-trained in multi-lingual, Croatian-Slovene-English and Slovene-only data. We perform training iteratively and on the concatenated data of previously available NER datasets. For the normalization task we use Stanza lemmatizer, while for entity matching we implemented a baseline using the Dedupe library. The performance of evaluations suggests that multi-source settings outperform less-resourced approaches. The best NER models achieve 0.91 F-score on Slovene training data splits while the best official submission achieved F-scores of 0.84 and 0.78 for relaxed partial matching and strict settings, respectively. In multi-lingual NER setting we achieve F-scores of 0.82 and 0.74.
Recognize the Silhouette Attributes of T-shirts based on Mask R-CNN

Clothing is currently one of the most commercially profitable industries in the world, and clothing fashion analysis mines business intelligence information on massive data for the fashion industry, which has received tremendous attentions. As the basic task of fashion analysis, clothing silhouette attribute recognition is of great significance, which determines the accuracy of subsequent analysis. However, the clothing engineering knowledge system is highly professional, and the silhouette attributes are different for different clothing types. What's more, clothing distortion and occlusion often appear in the fashion images, which brings challenges to the recognition. In this paper, we summarize the key silhouette attributes of T-shirts, and recognize the attributes by instance segmentation based on Mask R-CNN. Through the experiments over the online clothing shopping dataset, we demonstrate the effectiveness of our proposed solution.
PERANAN PUSTAKAWAN DALAM MEWUJUDKAN PERPUSTAKAAN DIGITAL

A good library is a library that has been managed perfectly in accordance with library science and applies the latest technology, and is utilized by the library to its full potential. All information sought by users can already be found quickly and precisely. Because the library has provided all sources of information, and all collections have been digitalized perfectly. To realize the digitization library, it is very necessary that experts in the technology are needed. Librarians who always take part in the library are highly demanded for their role in realizing digital libraries.
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline

Data in general encodes human biases by default; being aware of this is a good start, and the research around how to handle it is ongoing. The term ‘bias’ is extensively used in various contexts in NLP systems. In our research the focus is specific to biases such as gender, racism, religion, demographic and other intersectional views on biases that prevail in text processing systems responsible for systematically discriminating specific population, which is not ethical in NLP. These biases exacerbate the lack of equality, diversity and inclusion of specific population while utilizing the NLP applications. The tools and technology at the intermediate level utilize biased data, and transfer or amplify this bias to the downstream applications. However, it is not enough to be colourblind, gender-neutral alone when designing a unbiased technology – instead, we should take a conscious effort by designing a unified framework to measure and benchmark the bias. In this paper, we recommend six measures and one augment measure based on the observations of the bias in data, annotations, text representations and debiasing techniques.
UPAYA GURU PAI DALAM MENINGKATKAN LITERASI MEMBACA PESERTA DIDIK MELALUI PEMBELAJARAN PAI (Studi Deskriptif di Kelas XI SMA Negeri 11 Bandung)

This research is motivated by facts that show the very low interest in reading students. Remembering reading is an important factor because by reading we can add insight and knowledge. Researchers consider the efforts of Islamic Education teachers in improving students 'reading literacy through Islamic Education learning can regrow students' asking for reading where we are faced with modern conditions. The purpose of this study in general was to describe the efforts of Islamic education teachers in improving students' reading literacy through Islamic education learning. This study uses a qualitative approach with descriptive methods. This research was conducted at SMA Negeri 11 Bandung which is located on Jalan Mohamad Toha No.178 Bandung. With the research subject of teachers and students. Data collection was carried out by interview, observation, and documentation, then analyzed through stages of reduction, display, to data verification. The research results (1) the literacy program used by Islamic Education teachers, namely: reading 7-15 at the beginning of the lesson, reading articles 1 week once, and reading books 2 weeks once. (2) the sources of reading literacy used by Islamic Education teachers include: textbooks, e-books, articles, free reading books. (3) the results of the measurements made by Islamic Education teachers to measure the level of student achievement from several tests carried out showed that students were able to understand the reading well. (4) the benefits after the implementation of the literacy program by Islamic Education teachers include: the perceived benefits of increasing insight, knowledge, sharpening reasoning, fostering a love for reading, and making students literate.Keywords : PAI Teacher, Literacy, Reading, Science.
Comparative study of the possibility of legal personality for intelligent agent In jurisprudence, Iranian law and Western law

Artificial intelligence has entered many areas of human life and has created new legal challenges. Having legal personality is one of the theories in managing these challenges that has been proposed to justify the contracts concluded by intelligent systems based on the theory of representation. the attribution of civil liability resulting from the activities of intelligent systems to the intelligent systems themselves is another function to grant legal personality. However, a coherent and comprehensive study of the harmonization of the current rules of legal entities and its compliance with the features of intelligent agent has not been provided. This article seeks to answer the adequacy or inadequacy of theoretical foundations and legal resources to identify legal personality for intelligent agent, which has been written in a descriptive-analytical manner with a comparative study between jurisprudence, Iranian law and the West. The findings of this study show that each of these systems have significant theoretical foundations for having legal personality, but the status and characteristics of traditional legal entities are not equally applicable to the features of intelligent agent and if this structure not modified , the identification of legal personality for the systems, despite the alternative solutions, will cause legal confusion.