Reviewerly/exHarmony huggingface dataset:
Influence of Principal Component Analysis as a Data Conditioning Approach for Training Multilayer Feedforward Neural Networks with Exact Form of Levenberg-Marquardt Algorithm

Artificial Neural Networks (ANNs) have generally been observed to learn with a relatively higher rate of convergence resulting in an improved training performance if the input variables are preprocessed before being used to train the network. The  foremost objectives  of  data  preprocessing  include  size  reduction  of  the  input  space,  smoother  relationship,  data  normalization,  noise  reduction,  and  feature  extraction. The most commonly used technique for input space reduction is Principal Component Analysis (PCA) while two of the most commonly used data normalization approaches include the min-max normalization or rescaling, and the z-score normalization also known as standardization. However, the selection of the most appropriate preprocessing method for a given dataset is not a trivial task especially if the dataset contains an unusually large number of training patterns. This study presents a first attempt of combining PCA with each of the two aforementioned normalization approaches for analyzing the network performance based on the Levenberg-Marquardt (LM) training algorithm utilizing exact formulations of both the gradient vector and the Hessian matrix. The network weights have been initialized using a linear least squares method. The training procedure has been conducted for each of the proposed modifications of the LM algorithm for four different types of datasets and the training performance in terms of the average convergence rate and a proposed performance metric has been compared with the Neural Network Toolbox in MATLAB® (R2017a).
Millennial Generation Decisions in Choosing Vocational Schools

The choices of vocational high schools are numerous and diverse in Jakarta. Many alternative choices provide an easier decision making for candidate students according to their interests and economic abilities. This study aimed to analyze the influence of the variables of quality, trust, brand image on the decision to choose in SMKN 53 and SMK Telkom in Jakarta. The data were analyzed using path analysis. Hypothesis testing method was done using a structural equation model (SEM) analysis with SmartPLS statistical application. The result showed that the trust variable and quality variable were significant with brand image in SMKN 53 and SMK Telkom, while in SMK Telkom the trust variable was not significant with the brand image. The trust variable was significant towards the decision to choose in SMKN 53, while it was not significant in SMK Telkom. The quality variable was not significant towards the decision to choose in Public Vocational School, while it was significant in Private Vocational School. The quality variable was significant with the trust variable in two schools. The brand image variable was significant towards the decision to choose in SMKN 53, while it was not significant in SMK Telkom. The quality and trust variables were significant with the intervening brand image variable in SMKN 53, while they were not significant in SMK Telkom. The quality and choice variables were significant with the intervening brand image variable in SMKN 53, while they were not significant in SMK Telkom
Research guides: Equity Focused Digital Pedagogy and Learning: International Students in Digital Pedagogy and Learning

This Research Guide is a collaboration between the OISE Library and the OISE Equity Committee, with resources on anti-racism, accessibility and international students in Digital Pedagogy and Learning.
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models

We report a GPT-based multi-sentence language model for dialogue generation and document understanding. First, we propose a hierarchical GPT which consists of three blocks, i.e., a sentence encoding block, a sentence generating block, and a sentence decoding block. The sentence encoding and decoding blocks are basically the encoder-decoder blocks of the standard Transformers, which work on each sentence independently. The sentence generating block is inserted between the encoding and decoding blocks, and generates the next sentence embedding vector from the previous sentence embedding vectors. We believe it is the way human make conversation and understand paragraphs and documents. Since each sentence may consist of fewer words, the sentence encoding and decoding Transformers can use much smaller dimensional embedding vectors. Secondly, we note the attention in the Transformers utilizes the inner-product similarity measure. Therefore, to compare the two vectors in the same space, we set the transform matrices for queries and keys to be the same. Otherwise, the similarity concept is incongruent. We report experimental results to show that these two modifications increase the language model performance for tasks with multiple sentences.
온라인 실시간 강의의 운영 사례와 교육 효과 : 고려대학교 과목을 중심으로

The Covid-19 pandemic forced all the universities in Korea to conduct lectures online during the first semester of 2020. At the same time, interest in online lectures rapidly increased. However, partly because of the fact that this has been the first time to see lectures conducted online on such a broad scale, there are only few existing studies on online lectures. The authors conducted online real-time lectures for the Writing I course at Korea University during the first semester of 2020, and conducted a survey among all the students regarding it at the end of the semester. This paper is a detailed analysis of some aspects of online lectures; particularly, in terms of how to operate real-time lectures and their educational effectiveness, based on various class materials and survey results. Thus, by sharing the case of online lecture operation, we aimed to contribute to improving the quality of online education.
Cyrillic writing system: from Slavic to Romanian

The article is devoted to Cyrillic handwritten books of the XIII–XIX centuries, created in the Romanian principalities, and stored today in the manuscript collections of the Russian State Library. The uniqueness of the writing system, functioning in the principalities (Wallachia, Moldavia, Transylvania) since their political formation, is that it was a Cyrillic script based on the old Slavic language with a predominant Roman-speaking population. In course of the writing system’ development in the principalities, there was a transition from the Slavic font to the Latin one; the intermediate result of this transition was the creation of monuments written in Romanian language with Cyrillic script. The main stages of this process are considered by reference to the specific examples of unique handwritten books and their fragments that have become objects for collecting by scientists, antiquaries, and Old Believers, whose book collections have formed the basis of the handwritten collections of the Russian State Library. They are the oldest Cyrillic manuscripts and their fragments dated to the XII–XIV centuries, found on the territory of Romania, Slavic manuscripts, produced mainly in monasteries of principalities in the XV–XVII centuries, translations of individual words into the Romanian language in the rewritten Slavic texts in the XVI century; the glosses and comments in Romanian on the margins of Slavic manuscripts in the XVI–XVIII centuries; numerous notes in the Romanian language in the manuscripts of the XVI–XVIII centuries, made by owners and readers; translations of literary monuments, including bilingual (Slavic–Romanian) and trilingual (Slavic–Latin–Romanian) versions in the XVI–XVIII centuries; Romanian–Slavic and Slavic–Romanian dictionaries in the XVII–XVIII centuries; letters and their copies in the Romanian language (sureties) in the XVI–XIX centuries. The article is an intermediate outcome of studying and describing Cyrillic Romanian handwritten books in the collections of the Russian State Library, which will result in the publication of a hard–copy catalog.
Pentingnya Knowledge Sharing dalam Knowledge Management Process di Institusi Akademik

Knowledge management in academic institutions play an important role to create various tasks and processes that potentially lead to new knowledge creation. Knowledge is organization’s asset that should be developed continously through action of each indiv idu in the organisation. Knowledge management is a process where knowledge is created, acquired, communicated and shared, applied, used and managed effectively in the organisation. Knowledge management process is an activity included knowledge identification, acquisition, retention, utilization, development and sharing . Knowledge sharing activity in knowledge management process enables all staff in the institution to gain, share and used the knowledge to improve staff and institution. The objective of this literature review is to underline the need for knowledge management in the academic institution and to explore knowledge sharing as one of activities in knowledge management process and also to provide undertanding about the importance of knowledge sharing as one factor that determine the success of knowledge management process in the academic institution that can help to imrpove academic performance.
Music Teaching Model Research Based on Computer Platform

The academic circles generally think that the research value of computer music is high. The so-called computer music is the music art which combines modern electronic technology. Since twenty-first Century, education reform has been influenced more by information technology. In the field of education, the teaching based on computer platform is no longer new, but the application of computer platform in music teaching has not been further studied. This paper mainly studies whether using music software in music teaching can improve students’ interest in music learning, whether it is conducive to the improvement of music learning ability, whether it is conducive to the improvement of teaching mode, and whether it is conducive to the transformation of learning methods. A total of 3 research methods are used in this study: the first is the investigation method; the second is the observation method, and the third is the experimental method. This paper studies the teaching mode of vocal music based on the computer platform. The author summarizes the research results, puts forward some suggestions, and thinks about the existing problems.
Hubungan Minat Belajar Dan Cara Belajar Terhadap Hasil Belajar Bahasa Indonesia Siswa Kelasviii a SMP Negeri 2 Kecamatan Payakumbuh

This research is motivated by the interest and way of learning of less good students so that disturb the process of learning process. For that we need some ways to learn that can help students in learning. The way students learn about Indonesian lessons is influenced by the learning habits that are applied so far. This study aims to reveal the relationship of interest in learning and how to learn the results of learning Indonesian in SMP Negeri 2 Kecamatan Payakumbuh.The type of this research is quantitative research using correlational descriptive method with a population of 230 people. Then taken the sample of this study using cluster sampling technique as many as 27 people. This research uses two variables, variable (X) interest in learning and way of learning and variable (Y) learning outcomes. The steps of data analysis as follows. (1) Correcting and tabulating the questionnaire value; (2) Give a score on each question; (3) Score the results of the Mid Semester 2 exam; (4) Grouping values by rating scale; (5) Correlating data of interest in learning and ways of learning on learning outcomes; (6) Hypothesis testing; and (Summing up the results of data analysis.Data analysis using statistical method with data analysis show: (1) test result prove t_hitung bigger than t_ (table) that is 6,2859 ? 1,708 hence there is relation anatra learn interest with result learn student of class VIII A SMPN 2 Payakumbuh; (2) test result proves t_hitung bigger than t_ (table) that is 6,1617 ? 1,708 hence there is correlation between way of learning with result of study of student of class VIII A SMP Negeri 2 Kecamatan Payakumbuh; (3) test result proves t_hitung bigger than t_ (table) that is 7,2078 ? 1,708 hence there is relation anatra interest learn how to learn with result learn student of class VIII A SMPN 2 Payakumbuh. So it can be concluded there is a relationship between interest in learning and how to learn on learning outcomes.
Bi-GRU Text Emotion Analysis Model Based on Attention Mechanism

Emotional classification is an important task in natural language processing. Aiming at the problem of gradient explosion and gradient disappearance of traditional cyclic neural network in text affective analysis model, and the high computational cost, this paper proposes a bi-directional GRU network model based on attention mechanism for text affective analysis. Corp-Htl-ba-6000 dataset is trained and tested, and good results are obtained, which can effectively improve the effect of emotional classification and classification speed.
Characteristics of a flow of documents about novosibirians’ contribution to the Great Patriotic war victory (on the database "Scientific Sibirika")

The article objective is to represent the analysis results of the flow of published documents that highlight the contribution of Novosibirsk city and Novosibirsk Region residents to the victory over fascism during the Great Patriotic war. The documentary flow consisted of more than 600 publications over a 30-year period, which was selected of the regional bibliographic database “Scientific Sibirika” generated by the State Public Scientific and Technological Library of the Siberian Branch of the Russian Academy of Sciences using analytical services. The paper presents a brief scientometric analysis of a document corpus, as well as features of its temporal, thematic, and type-specific structure. Emphasis is placed on the characteristics of monographic publications: their variety is shown, and monograph bibliographic descriptions are given. The article lists the most productive periodicals and thematic collections on the topic, scientific events, where discussions took place on the life of the Siberian region and its inhabitants during the war years. It names Novosiberians – participants of military operations, materials about whom are included into the database. Authors with high publication activity on the above-mentioned subjects are identified. It is concluded that the thematic section “History of Siberia and the Far East” of the database “Scientific Sibirika” serves as a reliable source base for historical and regional studies. Introducing modern technologies in the bibliographic practice makes it possible to work remotely not only with bibliographic descriptions, but with full texts of electronic documents as well.
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation

Many document-level neural machine translation (NMT) systems have explored the utility of context-aware architecture, usually requiring an increasing number of parameters and computational complexity. However, few attention is paid to the baseline model. In this paper, we research extensively the pros and cons of the standard transformer in document-level translation, and find that the auto-regressive property can simultaneously bring both the advantage of the consistency and the disadvantage of error accumulation. Therefore, we propose a surprisingly simple long-short term masking self-attention on top of the standard transformer to both effectively capture the long-range dependence and reduce the propagation of errors. We examine our approach on the two publicly available document-level datasets. We can achieve a strong result in BLEU and capture discourse phenomena.
CONSTRUCTION OF THOLKAPPIYAM IN UTPERU PULLI URUVA GUMME

Grammatical origin is the Culmination of the Development of a Language. Among the Grammatical texts that thus appeared, the oldest and most glorious was the Tholkaappiya. Which become fully available. Iin which the Ezhuthu, sol and porul are included. In first Phase Tholkaappiyar who traverses the nature of the characters also mentions their form. Tholkaappiyar   interprets the formation of point at which line for the constriction of Magaram (Magarak kurukkam) enters the form within form. This review explains about that Utperu pulli?
Modeling guided waves to constrain the velocity structure of the oceanic crust in the subduction zone of eastern Alaska

&amp;lt;p&amp;gt;Fitting subduction zone guided waves with synthetics is an ideal choice for studying the velocity structure of the oceanic crust. After an earthquake occurs in subduction zones, seismic waves can be trapped in the low-velocity oceanic crust and propagated as guided waves. The arrival time and frequency characteristics of the guided waves can be used to image the velocity structure of the oceanic crust. The analysis and modeling based on guided wave observations provide a rare opportunity to understand the velocity structure of the oceanic crust and the variations in oceanic crustal materials during the subduction process.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;High-frequency guided waves have been observed in the subduction zone of eastern Alaska. On several sections, observed seismograms recorded by seismic stations show low-frequency (&amp;lt;2Hz) onsets ahead of the main high-frequency (&amp;gt;2Hz) guided waves. Differences in the arrival times and dispersion characteristics of seismic phases are related to the velocity structure of the oceanic crust, and the characteristics of coda waves are related to the distribution of elongated scatters in the oceanic crust. Through fitting the observed broadband waveforms and synthetics modeled with the 2-D FDM (Finite Difference Method), we obtain the preferred oceanic crustal velocity models for several sections in the subduction zone of eastern Alaska. The preferred models can explain the seismic phase arrival times, dispersions, and coda characteristics in the observed waveforms. With the obtained P- and S- wave models of velocity structures on several sections, the material compositions they represent are deduced, and the variations of oceanic crustal materials during subducting can be understood. This provides new evidence for studying the details of the subduction process in the subduction zone of eastern Alaska.&amp;lt;/p&amp;gt;
Entropic dynamics and rhizomatic archetypes in Aeriality by Anna Thorvaldsdottir

Icelandic composer Anna Thorvaldsdottir is part of the new generation of composers who have already gained international exposure. As she herself explained, her compositions are born from nature: from her long walks and from the observation of the dynamics, colors and sounds of nature itself. The piece for orchestra Aeriality (2011) is a good example of this poetics. This paper intends to analyze this composition in detail and talk about the author's poetics. Following my idea of an "open" musicology, that is related to other forms of knowledge and not a description of the score following a specific analytical method, first of all possible relationships between compositional structures that can be described in a quantitative way will be investigated. Particular importance will be given to the concept of entropy by translating t his concept into musical terms. Specifically, it will be shown how the displacement of sound masses in the orchestra determines an increase or decrease in entropy. Then the work will be analyzed according to the philosophy and thought of Gilles Deleuze. In particular, taking into account a main concept of his thought which is the rhizome. In concrete terms, it will be shown how the score contains rhizome archetypes and therefore it is possible to read it from this point of view. The intent therefore is to combine the work of this composer with an innovative approach.
PEER FEEDBACK THROUGH FACEBOOK GROUP; Does it bring about effect on students’ writing competence at MAN 1 Konawe Selatan?

This research is aimed at investigating whether or not there was a significant effect of Peer Feedback through Facebook Group on students’ writing competence at MAN 1 Konawe Selatan in writing recount text. The design of this research was pre-experimental design which involved only one class (class X MIA 1) as sample of this research. The total sample was 24 students which selected by using purposive sampling technique. The instrument of this research was a written test which focused on three aspects of writing namely organization, language use and mechanics. The researcher collected the data by giving pre-test and post-test in order to know students’ writing competence before and after treatment of Peer Feedback through Facebook Group had been applying. The researcher used the paired sample t-test in SPSS 16 Windows Software to analyze the result of this research. The finding shows that there is a significant effect of Peer Feedback through Facebook Group on students’ writing competence. It is proven by the result of descriptive analysis where the mean score of pre-test was 51.66 and mean score of post-test was 67.29. Furthermore, the result of hypothesis testing showed that the value of Sig (2-tailed) was 0.000 which smaller than alpha value 0.05, means that H0 is rejected and H1 is accepted. Therefore, it can be concluded that there is a significant effect of Peer Feedback through Facebook Group on upgrading students’ writing competence in recount text at MAN 1 Konawe Selatan. Hence, teaching and learning writing use Peer Feedback through Facebook Group can be one of effective methods on upgrading students’ writing competence. Keywords: Peer Feedback, Facebook Group, Writing, Recount Text
Introduction to the Special Issue on Quantum Information Science

Quantum phenomena provide computing and information handling paradigms that are clearly different and very likely much more powerful than their classical counterparts. Over the past few years, several governments throughout the world have allocated substantial funding aimed at boosting quantum information science. Much progress has been made on the theoretical side, and experiments have been conducted in which quantum computational operations were executed on a small number of quantum bits. In particular, 2019 marked the anniversaries of two principal developments in the field: the 25 years of quantum factoring and 35 years of quantum key distribution algorithms. This special issue showcases the information and coding theory related questions that are central to the field today.
A Novel Mathematical Model for Similarity Search in Pattern Matching Algorithms

Modern applications require large databases to be searched for regions that are similar to a given pattern.The DNA sequence analysis, speech and text recognition, artificial intelligence, Internet of Things, and many other applications highly depend on pattern matching or similarity searches.In this paper, we discuss some of the string matching solutions developed in the past.Then, we present a novel mathematical model to search for a given pattern and it's near approximates in the text.