Reviewerly/exHarmony huggingface dataset:
Redesigning archive literacy service by using social media as a tool: Cases in Japan archive centers

The purpose of this study is to explore the type of social media tools used in archive centers; and to analyse the scope of using social media in archival literacy. The study employed a qualitative research methodology. Primary data were collected through a structured open and close-ended questionnaire from person in-charge/planning manager/manager/director of the prefecture, municipal, city, and university archive centers in Japan. A total of 92 questionnaires had been distributed, and 68 (75.56%) responses were collected for analysis. Results show that the National Archives of Japan (NAJ) has a good number of twitter and Facebook followers along with a good number of the subscribers of YouTube and RSS. So far, though prefecture and municipal archive centers use social media and other web-based tools, most of them provide only basic information about their archival center. They do not evaluate and utilize users' feedback for revitalizing their service. The study proposed an interactive archive literacy model integrating users, archive centers, and social media tools to make the user literate.
duPont Library: Music 214: Electronic Music: Synthesis & Digital Recording: Find Other Sources

A guide to the basic information resources on electronic music, Music 214. Needs a new name
Towards spatial machine learning to reveal hidden patterns and relationships in national and international geochemical databases

&amp;lt;p&amp;gt;Environmental geochemistry is playing an increasingly important role in mineral exploration, environmental management, agricultural practices as well as links with health. With rapidly growing databases available at regional, national, and global scales, environmental geochemistry is facing the challenges in the &amp;amp;#8220;big data&amp;amp;#8221; era. One of the main challenges is to find out useful information hidden in a large volume of data, with the existence of spatial variation found at all the sizes of global, regional (in square kilometers), field (in square meters) and micro scales (in square centimeters). Meanwhile, the rapidly developing techniques in machine learning become useful tools for classification, identification of clusters/patterns, identification of relationships and prediction. This presentation demonstrates the potential uses of a few practical spatial machine learning techniques (spatial analyses) in environmental geochemistry: neighborhood statistics, hot spot analysis and geographically weighted regression.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Neighborhood (local) statistics are calculated using data within a neighborhood such as a moving window. In this way, spatial variation at the local level can be quantified and more details are revealed. Hot spot analysis techniques are capable of revealing hidden spatial patterns. The techniques of hot spot analysis including local index of spatial association (LISA) and Getis Ord Gi* are investigated using examples of geochemical databases in Ireland, China, the UK and the USA. The geographically weighted regression (GWR) explores the relationships between geochemical parameters and their influencing factors at the local level, which is effective in identifying the complex spatially varying relationships. Machine learning techniques are expected to play more important roles in environmental geochemistry. Challenges for more effective &amp;amp;#8220;data analytics&amp;amp;#8221; are currently emerging in the era of &amp;amp;#8220;big data&amp;amp;#8221;.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Pembelajaran Bahasa Inggris dengan Metode Cerita, Percakapan, Latihan, dan Karya Wisata Bagi Anak Usia Sekolah Di Dusun Sambisari, Kalasan, Sleman, Yogyakarta

English in the era Industrial Revolution 4.0 became the main requirement in various sectors. Indonesia educational fields gave attention for English subject so that became a local content subject in elementary school. In providing foreign language skills to elementary school children, it needs certain methods to suit their world. Learning English for elementary school children should be suitable for their needs, such learning through play, active learning, effective learning, and fun. The aim of community service is to know the learning methods that are more preffered by the elementary school children and to provide basic knowledge on kinds of material such ‘how to introduce your self’, ‘direction’, ‘5W + 1H’. From its activities, it is found that the learning methods that is most preffered by the female elementary school children are story telling method, while games method more chosen by the male of school age children. There is an increase in knowledge of participants related to basic material ‘how to introduce your self’, ‘direction’, ‘5W + 1H’, it is proven by the results of the post test that has been done. The knowledge value of participants as many as 15 elementary school age children before learning is ± 62.80 and after the community service is ± 80.33.Keywords: Learning English, elementary school age children, learning methods
Investigating the diabetes narratives of key social media influencers: A new form of health communication

E-Health is seen as the application of modern information and communication technology to advance or facilitate healthcare. People are more likely to search on social media (49%) than to see their doctors (11%) when they have healthcare problems. A special group of active social media users have appeared and started to gain attention in these years. They are not medical professionals but use social platforms to disseminate health information, create health awareness and provide health solutions to their target audiences. These so-called social media influencers have established a positive rapport with their audience. The main aim of this study is to investigate the diabetes narratives that have been presented by social media influencers (SMIs) because SMIs bring a new dimension for communicating health information with the potentially improving health outcomes. 10 social media influencers in the UK are defined in this study. Their existing diabetes narratives on social media and the impacts of those narratives on audiences’ health attitudes and behaviour are analysed through qualitative and quantitative methods, including frame (content-level) and discourse (language-level) features. Moreover, a comparative analysis of questionnaire data on audiences’ perception and perceived trustworthiness is conducted to investigate the effectiveness of SMIs in influencing their followers and non-followers.
Data Center Networks Overview

This paper talks about systems and protocols related to the data center along with problems occurring with running data centers and solutions addressing those errors. To begin with, basic concepts of the data center is introduced by presenting the design and evaluation of a representative system-Portland-which is a specifically designed protocol for data centers with efficient routing, loop-avoided forwarding, and effective detection and recovery about faults. After introducing some basic ideas and topology about the data center, problems regarding data center are discussed; specifically, the Google and Facebook Data Center is analyzed. Google Data Center's four-clusterpost network could no longer satisfy the demand for the bandwidth, a necessary solution to scale out, and a cost-effective means to update. On the other hand, the operational data of production network infrastructure at Facebook is presented to show the roles that the reliability plays in large scale data centers' network. Lastly, after exquisitely describing the nature, pros and cons, and the characteristics of Data Centers, an application developed upon the data centers is interpreted: CrystalNet, a network emulator, is discussed, which can generate a virtue network functioning like a real network, allowing network software operators to test or validate their ideas and software tools on the virtue network before implementing them to the real network.
PENGEMBANGAN MEDIA PEMBELAJARAN DADU BERGAMBAR UNTUK KETERAMPILAN BERBICARA MAHASISWA BIPA TINGKAT MENENGAH

This research aim to produce a learning media product for BIPA students of intermediate skill level which is used for speaking learning. This product has three main aspect (1) graphics, (2) language, and (3) appearance. This research use Borg and Gall research and development model with modification which have eight stages. The result of data that obtained from initial trial can proved that Dadu Bergambar as a learning media is valid and feasible to be used in BIPA intermediate speaking skills learning activities. Keyword: media pembelajaran, keterampilan berbicara, BIPA
PENINGKATAN KEMAMPUAN PEGAWAI PERPUSTAKAAN DALAM MELAKSANAKAN PELAYANAN TEKNIS MELALUI MODEL PEMBINAAN CLCK (CONTOH, LATIHAN, CONTROL, KERJA MANDIRI) DI SMAN 2 LUHAK NAN DUO

Based on observations and supervision conducted by the author, it shows that library staff at SMAN 2 Luhak Nan Duo do not have good skills and abilities in library management activities especially in terms of technical services. The purpose of this study was to describe and obtain information about efforts to improve the ability of library staff in carrying out technical services through the CLCK development model (Example, Training, Control, Independent Work) at SMAN 2 Luhak Nan Duo.This research is a school action research. Research procedures in this study include planning, action, observation and reflection. This research consisted of two cycles with four meetings. The research subjects consisted of 2 library employees at SMAN 2 Luhak Nan Duo. Research data were collected using observation sheets. Data were analyzed using averages.The results showed that the implementation of CLCK training (Example, Exercise, Control, Independent Work) could improve the ability of teachers to carry out technical services. This is evidenced based on preliminary data on the ability of employees before the implementation of the CLCK program, the average ability of employees is still in the poor category. Then after developing the CLCK model, the ability of employees increased to 79.28 (good) in the first cycle and after that increased in the second cycle to 88.7 (very good).
Hypergroup Structures of Open Quantum Random Walks on Distance Sets

Wildberger introduced the method of constructing a Hermitian discrete hypergroup from a random walk on a graph. In this study, we will apply his method to an open quantum random walk (OQRW) on a distance set and show that any discrete hypergroup that is not necessarily Hermitian can be realized using the OQRW on a distance set. We also investigate the distributions of OQRWs on distance sets in the view point of hypergroups.
A Survey of Data Preprocessing in Data Mining

With the increasing amount of data, data preprocessing has become an indispensable part of data mining. This paper introduces the data preprocessing process and enumerates the methods of data preprocessing related processes in the existing literature.
КОНЦЕПТУАЛЬНАЯ МОДЕЛЬ НЕЙРОСЕТЕВОГО РАСПОЗНАВАНИЯ ЭМОЦИОНАЛЬНОГО СОСТОЯНИЯ СЛУШАТЕЛЕЙ СИСТЕМЫ ДИСТАНЦИОННОГО ОБУЧЕНИЯ

One of the most significant trends in the development of distance learning systems is the introduction of automatic learning tools, the result of perception of which largely depends on the functional state of the students. As a result, there is a need to diagnose the current functional state of the listeners. It was determined that it is possible to diagnose the state of the listeners through the use of neural network means of recognizing the emotional state of a person. It has been established that in the modern scientific and applied literature the directions of research on the creation of neural network emotion recognition tools intended for use in a distance learning system are not fully outlined. As a result of the research, a conceptual model of neural network recognition of the emotional state of distance learning students has been developed, which by specifying operations affecting neural network recognition of emotions, as well as justifying the list of performance measurement parameters, allows for detailed directions of research on designing appropriate recognition tools. It was determined that the directions of further research are connected with the improvement of the methodological base for the development and use of neural network means of recognizing emotions of distance learning students.
Modern information technologies as the basis of the educational informatization process = Сучасні інформаційні технології як основа процесу інформатизації освіти

Hafiiak A.M. Modern information technologies as the basis of the educational informatization process / A.M. Hafiiak , S.P. Alyoshin, E.A. Borodina, A.O. Diachenko-Bohun // Системи управління, навігації та зв’язку. – 2019 – Вип. 3(55). – С. 84-89
The Application of Information Technology Means in College English Teaching

To mobilize students' interest and enthusiasm for learning, this paper explores the application of the combination of computer multimedia technology and network technology in college English teaching. Based on the relevant theoretical basis and specific content of English teaching, it analyzes the current situation of college English teaching from three aspects, including English teaching goals, teaching methods, and teaching effects. The application of the network teaching platform based on information technology in college English teaching is discussed. Also, the relevant data of the results obtained after the implementation of the network platform are listed. The research results show that teachers and students should make good use of the advantages of information technology teaching, develop strengths and avoid weaknesses. The means can enrich the learning approach, innovate teaching methods and optimize the English teaching environment, thereby improving the quality of English teaching. Therefore, the combination of computer multimedia technology and network technology can bring fundamental changes to English teaching methods and student learning methods. And it can stimulate students' enthusiasm for learning English and promote students' autonomous learning ability. The research has realistic guiding significance.
CRITICAL ISSUES IN TEACHING ENGLISH LANGUAGE TO ALBANIAN YOUNG LEARNERS (CASE STUDY)

This study presents a review of the literature and a study case concerning teaching English to young learners (TEYL). Study also discusses the growth of English as a global language, the different kinds of programs used around the world, the advantages of early language learning, some of the problems associated with TEYL and various teaching practices that have been found to be effective in teaching English to young learners. This study discusses on that how we can use games to teach English learners in the classroom, as Genevieve Roth says “playing is a child’s natural way of learning”. Too often we focus on “assessment of learning” on that how much our learners have achieved so this study will discuss this point of teaching too. Learning a foreign language presents a challenge which the teacher with students must overcome together. Perhaps a teacher may have doubts about how the class will be if we move from traditional teaching, are students going to learn easily or will have learning difficulties?, different students have different ways of learning even being the same age, class, and level and this may be a challenge for their teachers because they have to find an appropriate way to teach them. Keywords: young learners, teaching practices, games, assessment, research.
Deep learning inference in GNU Radio with ONNX

This paper introduces gr-dnn, an open source GNU Radio Out Of Tree (OOT) block capable of running deep learning inference inside GNU Radio flow graphs. This module integrates a deep learning inference engine from the Open Neural Network Exchange (ONNX) project. Thanks to the interoperability with most of the major deep learning frameworks, it does not impose any restriction on the tool used by the model designer. As an example, we demonstrate here its functionalities running a simple deep learning inference model on raw radio samples acquired with a PlutoSDR.
Organizational, psychological and pedagogical conditions for the use of e-books and e-textbooks at school

The article defines the organizational, psychological and pedagogical conditions for the use of e-booksand e-textbooks at school. The difference between e-books and e-textbooks is distinguished on the basisof systematization and comparison of scientific positions. Content analysis is made to determine theorganizational and pedagogical conditions for the introduction of e-textbooks. The experience of usinge-textbooks and e-books at school was generalized based on the results of a regional experiment, in which25 schools participated. The results of the survey and questioning of 352 students, 296 teachers, and 357parents are described. The results reveal the needs of respondents in e-textbooks and e-books, identifythe advantages and disadvantages of their implementation. The main organizational, psychological andpedagogical conditions are defined. These are educational policy concerning the introduction of e-learning(requirements for mandatory e-textbooks, financial support for purchasing and updating, examination,standards for e-textbooks), availability and diversity of e-textbooks and e-books on the market of educationalservices, logistic, educational and methodological support of educational institutions, ergonomics, readiness of teachers, students, their parents to use e-textbooks and e-books, digital competence of teachers andstudents.
Using Frame Analysis to Organize Designers’ Experience on the Cloud

This paper demonstrates how Goffman’s frame analysis is applied in a research on designers’ experience with Cloud based digital tools. At the base of Goffman’s structure is the ‘primary frame’ - in...
Malayalam Speech Corpus: Design and Development for Dravidian Language

To overpass the disparity between theory and applications in language-related technology in the text as well as speech and several other areas, a well-designed and well-developed corpus is essential. Several problems and issues encountered while developing a corpus, especially for low resource languages. The Malayalam Speech Corpus (MSC) is one of the first open speech corpora for Automatic Speech Recognition (ASR) research to the best of our knowledge. It consists of 250 hours of Agricultural speech data. We are providing a transcription file, lexicon and annotated speech along with the audio segment. It is available in future for public use upon request at “www.iiitmk.ac.in/vrclc/utilities/ml_speechcorpus”. This paper details the development and collection process in the domain of agricultural speech corpora in the Malayalam Language.
Analisis Pola Pembelian Toys Dengan Menggunakan Metode Algoritma Apriori

The priority algorithm is an analysis of habits that occur in purchases by looking for the association rule from different itemsets. The calculation is carried out to determine the minimum value of support and minimum confidence that will produce the association rule; the association rule is used to produce the percentage of purchasing activities against the itemset within a certain period using the weka application. The results of the best using the a priori algorithm method show that the association rule, under which the customer often buys a doll stage and an alphabet puzzle that has met the minimum value of confidence.
Corrigendum to “Speed Improvement in Image Stitching for Panoramic Dynamic Images during Minimally Invasive Surgery”

[This corrects the article DOI: 10.1155/2018/3654210.].
Rapid Detection of Earthquake Rupture Directivity Using Strong Ground Motion Data in Taiwan

&amp;lt;p&amp;gt;In the past decade, there have been several disaster earthquakes occurred in Taiwan.&amp;lt;br&amp;gt;From the observed data of the disaster earthquakes, the stations located in the source&amp;lt;br&amp;gt;rupture direction have obvious directivity pulses, and the distribution of the earthquake&amp;lt;br&amp;gt;disaster is related to the peak ground velocity. Therefore, how to use a large and high-&amp;lt;br&amp;gt;dense seismic database to develop a near-real-time detection system on the earthquake&amp;lt;br&amp;gt;rupture directivity, which is a very important task in Taiwan. In this study, we determine&amp;lt;br&amp;gt;the earthquake rupture directivity using near-field velocity data from 1991 to 2018, which&amp;lt;br&amp;gt;were collected under the Taiwan Strong Motion Instrument Program (TSMIP). The used&amp;lt;br&amp;gt;method is mainly constructed in the interpolation of the peak-ground-velocity map and&amp;lt;br&amp;gt;the directional attenuation regression analysis. Through the analysis of moderate-to-large&amp;lt;br&amp;gt;magnitude (M L &amp;gt; 5.5) seismic events, the source rupture directivity can be detected&amp;lt;br&amp;gt;effectively and quickly by the applied method. The detection results are also comparable&amp;lt;br&amp;gt;with those from the previous source studies. We also find out a linear relationship between&amp;lt;br&amp;gt;the directivity effect and earthquake magnitude. Since the TSMIP station may provide&amp;lt;br&amp;gt;real-time services in the future, the detection system proposed by this research can quickly&amp;lt;br&amp;gt;provide disaster prediction information, which is of great importance for earthquake&amp;lt;br&amp;gt;emergency response and hazard mitigation.&amp;lt;/p&amp;gt;
Finding Corresponding Constructions in English and Japanese in a TED Talk Parallel Corpus using Frames-and-Constructions Analysis

This paper reports on an effort to search for corresponding constructions in English and Japanese in a TED Talk parallel corpus, using frames-and-constructions analysis (Ohara, 2019; Ohara and Okubo, 2020; cf. Czulo, 2013, 2017). The purpose of the paper is two-fold: (1) to demonstrate the validity of frames-and-constructions analysis to search for corresponding constructions in typologically unrelated languages; and (2) to assess whether the “Do schools kill creativity?” TED Talk parallel corpus, annotated in various languages for Multilingual FrameNet, is a good starting place for building a multilingual constructicon. The analysis showed that similar to our previous findings involving texts in a Japanese to English bilingual children’s book, the TED Talk bilingual transcripts include pairs of constructions that share similar pragmatic functions. While the TED Talk parallel corpus constitutes a good resource for frame semantic annotation in multiple languages, it may not be the ideal place to start aligning constructions among typologically unrelated languages. Finally, this work shows that the proposed method, which focuses on heads of sentences, seems valid for searching for corresponding constructions in transcripts of spoken data, as well as in written data of typologically-unrelated languages.