Reviewerly/exHarmony huggingface dataset:
Distance technologies in the context of personalization of competence training of bachelors of art and pedagogical direction

The article discusses the features of personalization of the competence training for bachelors of art and pedagogical direction. Four characteristics of the essence of the personalization for the educational process are presented. Personalization of bachelor's degree training in the art and pedagogical direction is an unique way for a person to master and appropriate the richest potential of artistic culture. The potential of distance technologies has been identified, which contributes to the personalization of the competence training of bachelors of art and pedagogical direction. Firstly, distance technologies activate the subject position of the student. In the behavioral aspect, a bachelor of art and pedagogical direction, entering the position of the subject, must build his own educational trajectory, and in the sense-forming aspect, he must build his own relationship with the world of art. Secondly, they enhance the openness of the educational process. Thirdly, they actualize such personality qualities as initiative and creativity.
EXTRACTING RELEVANCE FROM SAR TEMPORAL PROFILES ON A GLACIER AND AN ALPINE WATERSHED BY A DEEP AUTOENCODER

Abstract. This paper proposes to use methods for compressing the temporal profiles of Sentinel-1 images, in order to be able to evaluate and analyze the richness of the temporal dynamics, both on a glacier and on a watershed. We propose to use unsupervised deep learning to auto-encode the temporal information in 3 dimensions, allowing to use the three descriptors as three RGB components to produce a colored composition synthesizing the information. We compare this Convolutional AutoEncoder (CAE) approach with a dimensionality reduction based on a Principal Component Analysis (PCA) of the temporal profiles. The two methods, CAE and PCA, are applied to a time series over the Kyagar Glacier before and after a surge event, and on an alpine watershed to compare the differences in dynamic evolution associated with different terrain classes with and without snow. On the one hand, on the glacier, the stacks of 10 images used are too short for CAE to extract more than two really significant axes. On the other hand, with longer profiles available over the alpine watershed, the CAE is interesting to improve the clustering results obtained from the decomposition.
Increasing millennial legal compliance and awareness through virtual applications

Efforts to educate the millennial generation can be made in many ways. One of the points is using digital application devices because millennials are the most involved in various virtual worlds. We carried out this study to obtain scientific evidence on how to improve the legal compliance of millennial citizens through the use of virtual applications, which are now increasingly becoming phenomenal. We get supporting data from various scientific applications in secondary data, including books, scientific publications, legal learning websites, and point technology. It is an efficient approach or strategy to encourage the younger generation to care about the importance of the law; this method is carried out with the consideration that the younger generation are millennials who are very close to the virtual world—technology applications.
Printed Aesthetic Quick Response Codes

Quick response (QR) codes are currently the most commonly used 2D barcodes.They are composed of black and white modules, which detract from their aesthetic appeal.When printed, owing to the size, dot gain, and other printing conditions, barcode information is easily distorted, yielding poor recognition results.We present a systematic aesthetic QR code information embedding technique as well as an error analysis method for physically printed QR codes.QR code information is embedded in a cover image at different strengths and is then printed using two devices.Barcode information is recognized using a geometric transformation by locating and identifying information dots.We propose an adaptive algorithm that hides barcode information in a cover image given the barcode module identification error characteristics (false blacks and false whites).According to these error characteristics, we adaptively enhance the signal of the white embedded modules to improve the overall recognition ability.The experimental results show that the proposed method is compatible with current printing and output equipment.Judicious adjustment of the embedding strength of white module dots decreases the false-black recognition error caused by dot gain and yields small printed aesthetic QR codes that look better.This improves the decoding rates of aesthetic QR codes.We optimize the QR code embedding method and the reading ability given specified output device conditions.This study highlights the importance of the output conditions for integrated applications of aesthetic QR codes.
Constructions of Unextendible Special Entangled Bases

Unextendible product basis (UPB), a set of incomplete orthonormal product states whose complementary space has no product state, is very useful for constructing bound entangled states. Naturally, instead of considering the set of product states, Bravyi and Smolin considered the set of maximally entangled states. They introduced the concept of unextendible maximally entangled basis (UMEB), a set of incomplete orthonormal maximally entangled states whose complementary space contains no maximally entangled state [Phys. Rev. A 84, 042,306 (2011)]. An entangled state whose nonzero Schmidt coefficients are all equal to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m1"><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:msqrt><mml:mrow><mml:mi>k</mml:mi></mml:mrow></mml:msqrt></mml:math> is called a special entangled state of “type k ”. In this paper, we introduce a concept named special unextendible entangled basis of “type k ” which generalizes both UPB and UMEB. A special unextendible entangled basis of “type k ” (SUEB k ) is a set of incomplete orthonormal special entangled states of “type k ” whose complementary space has no special entangled state of “type k ”. We present an efficient method to construct sets of SUEB k . The main strategy here is to decompose the whole space into two subspaces such that the rank of each element in one subspace can be easily upper bounded by k while the other one can be generated by two kinds of the special entangled states of “type k ”. This method is very effective when k = p m ≥ 3 where p is a prime number. For these cases, we can obtain sets of SUEB k with continuous integer cardinality when the local dimensions are large.
Language Teaching in the New Normal: A Comparative Study between Malaysia and Iraq

Covid-19 has a severe impact on the way we teach and learn today. As the global pandemic has severely impacted our education sector, adaptation is much needed in the way we teach and learn as we adapt to the new normal. This comparative study involves four sets of data involving two teachers from Malaysia and two teachers from Iraq. The researchers interviewed the respondents and sorted their feedbacks according to the themes of this study. The study reveals the differences and similarities in how teachers adapt to the new way of teaching English and teaching methods for receptive and productive English skills to high school students in both countries. It also reveals teachers’ opinions on using first language materials in their English teaching. The study highlights the teaching theories and principles applied by teachers in both countries in teaching in the new normal. The study also reveals that the respondents managed to adapt authentic teaching and learning materials for online teaching and revamped their lesson plans and timetables. The respondents also used the Telegram application to share teaching and learning materials and connect with their students. All respondents agree with the use of first language materials in teaching English and the role of teachers to motivate students in learning English in the new normal. Finally, the study reveals that all respondents from both countries manage to adapt to the new teaching method in the pandemic.
Linguistic Landscape Analysis of Food Advertisement in Makassar

The focus of this research is on Makassar's linguistic landscape of food advertisements. The study's goals are to determine the language used in food advertisements in Makassar city and to describe the roles of the Makassar language employed in food advertisements. This study uses the descriptive qualitative method. The data are analyzed based on Canoz and Gorter’s theory (2006). The findings show that English is the most frequently used language in food advertisements in the city center of Makassar. The other languages utilized in advertisements include Indonesian, English, Makassar, and Mandarin. This study also found the function of using English in advertisements is a promotional medium and the identity of each store. Additionally, using a foreign language has a trendy and stylish impact, which improves product quality, intrigues buyers, and attracts their attention. Even though many offers in advertisements are not understood by consumers, all of the functions indicated by all informants allude to the benefits of utilizing English in their product advertisements, notably the increased sales value.&#x0D; Keywords: Linguistic Lanscape Analysis, Analysis Food Advertisement, Analysis Advertisement
Predictive Analysis of Online Education System after Pandemic based on Machine Learning Ensemble Algorithms

The COVID-19 pandemic has led to the closure of educational establishments all around the world.To keep academic activities alive, most educational organizations have switched to online learning platforms.Since, problems about e-learning readiness, design, and efficacy remain unanswered, particularly in developing countries like India, where technological barriers such as device compatibility and network availability represent a severe issue.Studies suggest that digital learning can be as successful as traditional education that requires appearance, but learners for online training, especially in adapting different learning methods to online mode is very much crucial.Few studies have examined the satisfaction of e-learning [1][2].According to the data, students' reaction to online teaching depends on their ability to use online tools, their ability to technically access e-learning materials, and their teacher's style of different learning activities.In this paper, we have clearly analyzed, examined and predict the impact of online education system by using different Machine Learning classifier and ensemble algorithms.We have collected some real time data to show some insight reviews on the satisfactory level of e-learners after pandemic.
Pemanfaatan Media Pembelajaran IPS Sekolah Dasar di Kecamatan Banyuurip

This study aims to explain the use of social studies learning media in elementary schools in Banyuurip District with all kinds of school conditions. It is hoped that the characteristics of learning media that can be used and their efforts to improve, as well as efforts to increase teacher creativity in making learning media, can be known. This type of research is descriptive qualitative, because this study describes the phenomenon of learning that is in schools in Banyuurip District. The research uses social situations, namely places, actors, and activities that interact synergistically. Data were collected through observation, interviews and documentation. Sources of data are principals and elementary school teachers in Banyuurip District. The analysis technique uses an interactive model from Miles and Huberman to analyze the research data. Activities in qualitative data analysis are carried out interactively and take place continuously until complete. The data validity technique uses data triangulation. The results showed: (1) the media problems found in Elementary Schools in Banyuurip District include incomplete media according to social studies lessons, special media storage space is not available so that many media are damaged, lost and not maintained, the media needed are not all available so that teachers find it difficult, teachers find it difficult to make and use media due to limited insight in their use, (2) the use of media in elementary schools is not maximized, due to school limitations. In general, the use of media is carried out by teachers in Banyuurip District in using mass media or groups in front of the class. Some teachers have used social studies learning media such as globes, maps, atlas books, and focused LCDs.
Design of a Blockchain-Based Service Platform for Industrial Interconnection Supply and Demand Networks

With the continuous cross-border cooperation among industries, the concept of an industrial interconnection supply and demand network is constantly mentioned. As industry interconnectivity continues to grow, collaboration models have changed as companies work more closely with each other, and the synergy model has changed. In order to improve the efficiency of collaboration and to promote the free allocation of resources in the trading process of the industry interconnection supply and demand network, an industry interconnection supply and demand network resource matching platform based on the Alliance blockchain was built, steps for resource trading on the platform were proposed. Using blockchain technology’s smart contract technology to simplify the transaction process, the triggering mechanism and algorithm rules of smart contracts in the trading process of the platform were designed, and the smart contract code was developed, deployed, and tested using Remix IDE, and the test results showed the transaction process between the supply and demand sides. Through blockchain technology, it achieves information security and transparency in the process of resource trading in the industry interconnection supply and demand network, establishes a trust mechanism on both sides of the transaction, reduces redundant steps in the transaction and improves the operational efficiency of the industry interconnection supply and demand network by increasing the efficiency of resource allocation.
Language Learning Strategies Used by Year 5 Urban National Primary School Students in Enhancing Reading Skill

Language learning strategy is an important part of the learning process as it significantly influenced the effectiveness of language acquisition.Reading being part of the English language has its own set of strategies derived from specific preferences, skills, and language proficiency depending on the learners' composition.Consequently, these strategies shall be the determinants of the extent to which the English language proficiency could be further improved and explored on.The purpose of this research is to look into the reading strategies utilised by urban national primary school students.A quantitative research method employing a survey was used in this study.A questionnaire adapted from Andrew D. Cohen and Rebecca L. Oxford was used to collect the data from 35 Year 5 students in an urban school in Kuala Lumpur.The data is then analysed using descriptive analysis with table and frequency count.The findings indicate that the language learning strategies (LLS) provide an overview of the most favoured reading strategies used by the Year 5 students.This will aid the teachers by providing fresh insights into acceptable reading practices that will attract the most interest Vol. 12, No. 6,
How to teach vocabulary to adults

Vocabulary knowledge is critical to reading comprehension, it is important that those working with young readers help foster their development of a large word bank‖ and effective vocabulary learning strategies. There are several effective explicit (intentional, planned instruction) and implicit (spontaneous instruction as a child comes to new words in a text) strategies that adults can employ with readers of any age. One of the most effective methods of helping children learn new vocabulary words is to teach unfamiliar words used in a text prior to the reading experience.
Narrative Function of Vladimir Propp in John Green’s Novel, The Fault in Our Stars

Literature is defined as the work of feelings and expressions of human ideas that have a poetic form of writing which is presented or shared for everyone to read. A novel as one a literary work is prose in the form of books with narrative texts divided into several places and has many characters in there. Also, it can be researched because a novel has a story in form of narrative text. One of the novels is The Fault in Our Stars by John Green. The focus of this research was to know what are the 31 narrative functions by Vladimir Propp in The Fault in Our Stars novel. Hence the aim of this research is to find out the narrative functions in The Fault in Our Stars novel by John Green. This research, entitled Narrative Function of Vladimir Propp in John Green’s novel, The Fault in Our Stars uses a qualitative descriptive method to analyze the 31 narrative functions by Vladimir Propp. The results of this research indicate the 31 narrative functions by Vladimir Propp, there are 14 narrative functions in The Fault in Our Stars novels, such as interdiction, violation, delivery, villainy and lack, mediation, departure, the first function of the donor, receipt from a donor, struggle, branding, return, rescue, transfiguration, and wedding.
A survey of security and smart home automation based on internet of things technology

The &lt;span&gt;internet of things (IoT) refers to the physical tools that are embedded with Internet, software, electronics, sensors and network connectivity. This involves many different systems, for example, healthcare, smart home and so on. The security problem of the Internet of Things and the Smart Home infrastructure is considered, which has become an urgent issue due to the high popularity, low systemic research and the growth of threats to "us" (people seeking comfort) from "them" (surrounding things, which becoming increasingly intelligent, automated). The research is based both on a systemic, infrastructure understanding, and on an architectural, problem-oriented level. Key security risks for the infrastructure of various types-software and technical, technological, socio-psychological and others-were analyzed. The evolutionary problems of the internet of things and factors influencing the vulnerability of infrastructures have been investigated. In addition to traditional network security tasks, specific tasks (direct and reverse, for identification) are highlighted in IoT interactions and environments. This paper provides an overview of the related work in IoT, together with the open challenges and future research directions using Arduino platform (such as "thick server-thin client") to simulation modeling of time delay probability distribution based on identified simple model.&lt;/span&gt;
MYKOLA LEONTOVYCH'S PEDAGOGICAL IDEAS: THE SOURCE BASE OF RESEARCH

The urgency of the study is due to the need to determine the source base of the study of pedagogical ideas of M. Leontovych in the context of the formation and development of domestic music education. The aim of the article is to comprehend modern approaches to the pedagogical ideas of Mykola Leontovych and to conclude the source base of their research. Achieving the purpose of the article allowed the use of general scientific methods (historical, retrospective, chronological, analysis, synthesis, classification, specification, comparison, generalization) and general methods of historical and pedagogical research (biographical and method of historical actualization). The classification of the source base for the study of pedagogical ideas of M. Leontovych was carried out according to the chronological criterion and the criterion of taking into account aspects of the information contained in the source. Based on these criteria, five groups of sources were identified and characterized: the works of M. Leontovych; archival sources; encyclopedic editions; interpretive publications; memoirs, letters and documentary anniversaries. It is emphasized that the source base of research of pedagogical ideas on M. Leontovych is diverse and significant in volume. application of forms, methods and techniques of teaching in lessons in educational institutions; the influence of the composer's musical heritage on the formation of value orientations of students. Analysis of dissertations and monographs showed lowrepresentativeness of such studies, which indicates the need to substantiate the pedagogical ideas of Leontovych in the context of the development of national music education in historical retrospect, taking into account socio-political, socio-cultural and cultural-anthropological determinants.&#x0D; Keywords: history of domestic pedagogy; Mykola Leontovych; source base; pedagogical ideas; personalities; methods of historical and pedagogical research; music education; anniversary.
DYNAMIC UPDATING METHOD OF GEOSPATIAL DATABASE WITH INCREMENTAL DATA

Abstract. With the rapid development of computer technology and Geographic Information System (GIS), geospatial data are commonly stored and managed in the geospatial database. And geospatial data are widely used in government decision-making, environmental protection, scientific research, and national defence construction. The frequency of geospatial database updating is getting higher and higher due to economic and social development. In this paper, dynamic updating method of geospatial database with the incremental data is proposed, which means only changed features are updated into the geospatial database. Features that have not changed are not updated. This method can greatly improve the efficiency of database update. It has been applied into dynamic updating of national fundamental geographic information database of China. This database has been updated and published once a year. The current situation of data is improved continuously. It can provide more reliable data guarantee for national economic construction and social development. In the future, there will be further optimization of the dynamic updating method. We also hope more and more geospatial database can be updated by this method.
Faktor gangguan perhatian dalam pemerolehan bahasa pada anak down syndrome studi kasus: sutan dan peli di sekolah luar biasa negeri 1 padang

This research is a case study on two students of SLB Negeri 1 Padang. The methods and techniques used in this research are, at the data collection stage using the rules of observation and analysis, case studies, natural observation, and listening. In addition, the listening-engagement technique (SLC) is also used, free-engage-in conversation (SBLC) listening, recording, taking notes, recording with a speech analyzer, flash cards, articulatory matching method for the data analysis stage, and formal and informal presentation methods for the presentation stage. results of data analysis. The source of data in this study is the source of oral data taken from the speech of the Down syndrome sufferer, namely P and S. Based on the data analysis that has been done, P is able and understands the use of affixation from the description of the picture card (FC) shown to him, there are 6 types of affixation produced by P and as many as 11 forms are said by P. In contrast to S who is still unable to to pronounce affixation at all, because the sylabas that can be pronounced tend to only be final sylabas on each picture card (FC) submitted to S. The factors that influence the difference in verbal abilities of DS sufferers are P and S, including attention disorders (understanding), memory disorders, emotional and feeling disorders, as well as psychological factors.