Reviewerly/exHarmony huggingface dataset:
The image of music as a cultural phenomenon

The article considers the art of music as a means of human self-realization in a historical retrospective from the era of Antiquity to the present. Revealing the phenomenology of musical art through a philosophical and cultural approach, the authors focus on the change of cultural epochs, which allows us to consider culture and music as a means of human self-realization. In this article, in this context, the image of music as a cultural phenomenon will be considered, which will require disclosure of the specifics of music as a special type of artistic activity, determining the place of music in the system of arts, as well as determining the essence of the cultural phenomenon. As a result, the authors come to the conclusion that music, as a multidimensional reflection of the phenomena of reality, constantly absorbs the entire cultural experience of mankind and, processing it with its own means, performs a special synthesis in this experience, which allows us to consider it as a cultural phenomenon.
The Third scientific and practical conference “The letters and digits: The libraries on the way to digitalization” – “BilioPiter–2022” (review)

The third scientific and practical conference “The letters and digits: The libraries on the way to digitalization” “BilioPiter–2022” is reviewed. The conference w as h eld i n S t. P etersburg o n A pril 6–8, 2022. Every year, the conference gathers together library professionals, educationalists and researchers to contribute to the development of library and information sphere. The conference key topic is discussed: joint efforts of the libraries and educational, informational and research organizations in developing new approaches, methods and technologies for the library and information sphere in the modern digital environment. The focus is made on specialized research and practical seminar “Automation of libraries in the digital information educational environment” and IRBIS School one-day session (St. Petersburg State Institute of Culture); lecture-seminar series “The libraries in the modern information and digital environment “Concepts, technologies, laws and regulations”; discussion round table “The libraries’ interacting with the society, business and authorities”; presentation of the memorial threevolume book “My friend Katya Genieva” (V. V. Mayakovsky Central City Public Library); special seminar “Information support of science and Education: Theory and practice” (National Library of Russia); and special seminar “The projects of the National Library of Russia in digitalization of the national cultural heritage” (Russian Academy of Science Library). The key topics and keynote papers are also discussed.
Visual Relation-Aware Unsupervised Video Captioning

Unsupervised video captioning aims to describe videos from unlabeled videos and sentence corpus without the reliance on human annotated video-sentence pairs. A straightforward manner is to borrow the merit from unsupervised image captioning methods, which resort to pseudo captions retrieved by visual concepts detected in image. However, directly applying this methodology to the video domain leads to sub-optimum performance since visual concepts cannot represent the major video content accurately and completely. Besides, these methods also do not consider the problem of noise interference caused by words unrelated to visual concept in the pseudo captions. In this paper, we propose a visual relation-aware unsupervised video captioning method which retrieves pseudo captions using visual relation. Based on these, we train the proposed visual relation-aware captioning model. Specifically, our model is designed to focus on learning from dependable words corresponding to the detected relation triplets. Extensive experimental results on two public benchmarks show the effectiveness and significance of our method.
Exploring the Reading Motivation of Less-Motivated Adolescent Latinx English Learners

This qualitative study explored reading motivation among high school English learners whose first language was Spanish. Latinx English learners (N = 87) from two southeastern, suburban school districts took part in the first stage of the research. The researcher utilized subscores for self-concept as a reader and value of reading from a recognized reading motivation survey instrument along with reading subscores on a nationally recognized standardized language assessment to identify students who could be presumed to be less-motivated readers (n = 14) for interview selection. Responses from six randomly selected interviewees from this less-motivated pool of participants demonstrated that they faced numerous obstacles toward becoming proficient readers, including challenging home environments and debilitating anxieties. Overall, a series of complex factors were shown to inhibit reading motivation. Implications and practical recommendations for educators are discussed.
Evaluation of mCODE Coverage in EHR: a Scoping Review of Cancer Natural Language Processing

Studies have shown structured data in Electronic health records (EHRs) alone are not sufficient for cancer research and clinical care. In this review, we aim to assess the coverage of Minimal Common Oncology Data Elements (mCODE) in EHR by elucidating the alignment of NLP extracted data elements with this oncology data standard. We conducted a scoping review based on methods proposed by Arksey and O'Malley. In total 123 publications were selected and included in our analysis. Results show that that some critical data elements covered by mCODE are not fully captured as part of structured EHR data. In addition, cancer research and patient care require some data elements beyond mCODE.
MODERN MEANS OF TEACHING PROGRAMMING TO PRESCHOOL CHILDREN

All over the world they are discussing what skills and competencies should equip the younger generation so that in the future they can easily solve the problems of the digital world. Computational thinking is recognized as a necessary competence and a set of skills necessary in the XXI century. Programming is considered one of the approaches to the formation and development of computational thinking of adults and children. And today they are trying to teach programming at all levels of the education system, even starting from preschool. This article presents approaches, strategies and tools for teaching basic programming skills.
REALIZATION OF SUCCESSION IN TERMS OF GENERAL EDUCATION

Continuity is an integral part of the modern education process. Consistency, bordering on labile variability and adaptability of all components of education, determines the ways of implementing continuity.
PROJECT ACTIVITY: POWERFUL EDUCATIONAL RESOURCE OF LEARNER’S DEVELOPMENT

The modern school is designed to teach students to adapt to life. One of the most effective teaching methods is the re- search method, one of the pedagogical means of which is project activity. The American scientist, teacher and psycholo- gist John Dewey at the beginning of the 20th century studied and substantiated the prospects for using project activities in the learning process. Project activity is an invaluable tool that makes it possible to develop a child’s personality, introduces him to cognitive activity, increases his cultural and intellectual level, and develops creative abilities.
TRAINING MODULES FOR ASSESSING EDUCATION QUALITY AS A FACTOR OF MOTIVATING TEACHERS TO USE NEW TECHNOLOGIES

The article describes the experience of implementing a training course (module) aimed at familiarizing practical teachers and students of pedagogical profile with the content and results of international systems for assessing the quality of education. The main difficulties that arise during the passage of the module material for different students are identified, the main effects of the course are described, including those associated with a change in the cognitive position of students. Some technologies used in the course of training are given.
PROFESSIONAL TECHNIQUES OF A MODERN PRE-SCHOOL TEACHER

The article presents modern tools in the work of preschool teachers. Facilitation methods and agile technologies are considered in the context of preschool education. There is a review of approaches to conflict solutions as a part of preschool teacher’s communicative competence. The technologies of pedagogical design are described which are the direction for creation educational programs in preschool teaching.
DIGITAL EDUCATIONAL TOOLS IN TEACHERS’ PROFESSIONAL DEVELOPMENT SYSTEM

The article deals with issues of content designing of teachers’ professional development programs aimed at advanc- ing of professional information and communications technology competence in digital technologies.
THE CHARACTERISTIC OF WATERSHED MORPHOMETRY DATA FOR SUPPORTING THE MODIFICATION MODELING OF NAKAYASU SYNTHETIC UNIT HYDROGRAPH

This research aimed to investigate the characteristics of watershed morphometry that affect the main parameter that forms the Nakayasu Synthetic Unit Hydrograph (SUH). The result is will support the modification modeling of Nakayasu SUH. The formulation of time like (in the Nakayasu SUH) itself consists of the physical characteristic such as the main river length (L) that is limited regarding the category of main river length such as L &gt; 15 km and L &lt; 15 km. Due to the specific characteristics of the Nakayasu SUH formulation, this research will focus on the development of the Nakayasu SUH formulation by modification by adding the watershed characteristic parameter to the time lag (tg). This research was conducted in the 23 watersheds in Indonesia, which have the Automatic Water Level Recorder (AWLR) and Automatic Rainfall Recorder (ARR). However, this research is conducted on the 7 morphometry and time lag data that are watershed area (A), the length of the main river (L), river slope (I), river density (D), the river length to the eight point of watershed (Lc), the factor of H (H = L.Lc), watershed perimeter (O = O), and time lag. The time lag of each watershed is analyzed using the straight line method; however, the watershed morphometry data is analyzed by using the software of ArcGIS and analyzing the river/drainage density and the factor of river length and river length to the weight point of watershed. The results show five morphometry variables that very influenced the time lag (one of the variables in the Nakayasu SUH model): A, Lc, H, L, and O. The other two variables are not affected by the time lag: D and K.
Evaluating Operator Training Performance Using Recurrence Quantification Analysis of Autocorrelation Transformed Eye Gaze Data

This research aimed to investigate the relationship between gaze behaviour dynamics and operator performance.Individuals differ in their approach when learning a new task often resulting in performance disparity. During training some individuals learn the structure and dynamics of the task and develop a systematic approach, whereas others may achieve the same result albeit with increased perceived workload, or indeed some may fail to achieve superior performance levels. Previous research has shown that comparing gaze of experts with novices can provide unique insights into cognitive functioning of superior performers.Twenty-five individuals participated in a computer-based simulation task. The concept of coefficient of variation (CoV) of task scores was used to compute the participants' consistency of performance. Based on CoV, the cohort was split into two performance categories. The temporal patterns in participants gaze data were transformed using autocorrelation, and recurrence quantification analysis (RQA) was employed to analyse and quantify the patterns.A Mann-Whitney U analysis demonstrated significantly (p < .01) higher determinism, entropy and laminarity in the superior group compared to the moderate group. Pearson's correlation revealed a significant (p < .01) negative correlation between the consistency of task performance (CoV) and the RQA measures.The results demonstrated that eye gaze dynamics can be used as an objective measure of performance. Participants classified as superior performers consistently demonstrated a systematic gaze activity which were in line with the task structure.The methods presented here are applicable to observe and evaluate operators' strategic distribution of gaze. Specifically, for tactical monitoring and decision making in task environments where spatial locations of elements-of-interest vary continuously.
Aplikasi Media Pembelajaran Alat Musik Gitar Berbasis Android Menggunakan Metode SDLC

Nowadays, people's interest in playing the guitar is increasing. Playing the guitar can further enhance personal branding in today's digital era, many of the general public are suddenly famous for playing musical instruments such as the guitar. However, the ability to learn guitar instruments has constraints such as time and funds that are not small to attend guitar school, so many people choose to self-taught independently. However, self-study is not easy. Therefore, the author tries to do a study with the aim of making an Android-Based Guitar Musical Instrument Learning Media Application as an alternative way of learning guitar independently that can be used independently so that it can be used anywhere and anytime. By applying the SDLC (System Development Life Cycle) method, which is a method that describes the information system development life cycle. So that the application is divided into several levels that are tailored to the user. At each level there is material in the form of learning videos that can be listened to for an explanation. Based on the results of the Black Box testing carried out, the application that was built is functioning well, the input and output results are according to the results of the application. So the author can conclude that the Android-Based Guitar Musical Instrument Learning Media Application is very helpful for someone to learn guitar independently and effectively without having to spend money to attend music school.
Coupling two charge qubits via a superconducting resonator operating in the resonant and dispersive regimes

A key challenge for semiconductor quantum-dot charge qubits is the realization of long-range qubit coupling and performing high-fidelity gates based on it. Here, we describe a different type of charge qubit formed by an electron confined in a triple-quantum-dot system, enabling single and two-qubit gates working in the dipolar and quadrupolar detuning sweet spots. We further present the form for the long-range dipolar coupling between the charge qubit and the superconducting resonator. Based on the hybrid system composed of the qubits and the resonator, we present two types of entangling gates: the dynamical iswap gate and holonomic entangling gate, which are operating in the dispersive and resonant regimes, respectively. We find that the fidelity for the iswap gate can reach a fidelity higher than 99% for the noise level typical in experiments. Meanwhile, the fidelity for the holonomic gate can surpass 98% if the anharmonicity in the resonator is large enough. Our proposal offers an alternative, useful way to build up high-fidelity quantum computation for charge qubits in the semiconductor quantum dot.
Wavelet Transforms

The wavelet transform (WT) technique in particular has some unique advantages over other kinds of time-frequency representations such as the short-time Fourier transform. This chapter describes some of these representations and explains the advantages of the wavelet transform, and the reason for its recent popularity. It provides an overview, with the presentation given at a level that can be comprehended by most engineers. The more advanced results on wavelets, which brought them great attention in recent years, are presented. In many applications we must accommodate the notion of frequency that evolves or changes with time. Audio signals are often regarded as signals with a time-varying spectrum, e.g., a sequence of short-lived pitch frequencies. Digital filter banks provide a time-frequency representation for discrete time signals, similar to the short time Fourier transform and WT for continuous time signals. The most common engineering application of the digital filter bank is in subband coding, which is used in audio, image, and video compression.
A Study on the Effectiveness of Multicultural Art Education Programs through Meta-analysis

본 연구에서는 다문화 미술교육의 효과에 대하여 메타분석을 통해 종합적으로 분석하였다. 또한 효과크기에 영향을 미치는 조절 변인(대상 연령, 참여 인원, 실시 기간, 실시 횟수, 진행 시간, 프로그램 유형)과 종속 변인(학습자 변인)에 따른 효과를 비교·분석하였다. 2006년부터 2020년까지 발표된 학위논문과 학술지 게재 논문 22편을 대상으로 140개의 효과 크기를 검토하였으며, 자료 분석에는 CMA 2 프로그램을 활용하였다. 그 연구 결과는 다음과 같다. 첫째, 다문화 미술교육 프로그램의 전체 효과 크기는 0.819로 Cohen의 효과 크기 기준으로 높은 수준의 효과 크기를 보이고 있음을 확인할 수 있었다. 둘째, 조절 변인에 따른 하위 그룹의 효과 크기를 분석해보았을 때, 프로그램 대상 연령에 따라, 연구 참여 인원 및 실시 기간 등의 연구 특성에 따라, 프로그램 유형 등에 따라 유의한 차이를 볼 수 있었다. 셋째, 종속 변인인 학습자 관련 변인중 다문화 인식, 다문화 의식 등의 다문화 관련 변인뿐만 아니라 사회적 행동, 자아 개념, 정서 지능 등 다양한 학습자 변인에서 높은 효과 크기가 나타났다. 본 연구는 최근 학계에서 많은 관심을 가지고 있는 다문화 미술교육의 실질적 효과 크기를 최초로 분석하여 향후 연구 방향성을 제언했다는 점에서 시사점과 의의가 있다.This study analyzed the effects of multicultural art education through meta-analysis, and analyzed the effects of various regulatory and dependent variables. For the study, 140 effect sizes of 22 dissertations and academic papers published from 2006 to 2020 were reviewed. The results of the study are as follows. First, the overall effect size of the multicultural art education program was 0.819, confirming that it showed a high level of effect size according to Cohen's standard. Second, when the effect size of the subgroups according to the control variable was analyzed, a significant difference could be seen according to the study characteristics and program type. Third, among the dependent variables, learner-related variables, not only multicultural-related variables, but also various learner variables such as social behavior, self-concept, and emotional intelligence showed a high effect size. This study is significant in that it suggested the direction of follow-up research by first analyzing the actual effect size of multicultural art education, which has recently been much interest in academia.
Multipartite entanglement in qudit hypergraph states

Abstract We study entanglement properties of hypergraph states in arbitrary finite dimension. We compute multipartite entanglement of elementary qudit hypergraph states, namely those endowed with a single maximum-cardinality hyperedge. We show that, analogously to the qubit case, also for arbitrary dimension there exists a lower bound for multipartite entanglement of connected qudit hypergraph states; this is given by the multipartite entanglement of an equal-dimension elementary hypergraph state featuring the same number of qudits as the largest-cardinality hyperedge. We highlight interesting differences between prime and non-prime dimension in the entanglement features.
Multi-Task Learning-Based Attentional Feature Fusion Network for Scene Text Image Super-Resolution

Super-resolution for scene text images is a pre-processing of scene text recognition to improve recognition accuracy. This task aims to improve the visual quality of text regions in the images from low-resolution images. Although SR techniques have significantly improved with the recent development of deep learning, it is still challenging to reconstruct high-resolution images for wild images with irregular shapes, severe noise, and blurring. This is because CNN-based methods are based on local calculations and do not consider text-specific characteristics and these are unable to deal with irregular deformations, etc. In this paper, we propose a multi-task learning-based Attentional Feature Fusion Network (MAFF-Net) to reconstruct visually high-quality images from low-resolution images in real scenes. MAFF-Net consists of a reconstruction branch and a super-resolution branch, which are trained simultaneously to share complementary features of the reconstruction model, such as noise reduction and structural information of the text, using the feature representation transfer (FRT) module. In addition, the transformer module, equipped with a 2-D self-attention mechanism, is used to deal with irregular deformations of the text. Then, we attempt to improve the visual quality of the images with severe noise, blurring, and irregular deformations by fusing the attentional features of the different viewpoints of the FRT module and the transformer module, respectively. Experimental results on the benchmark TextZoom dataset show that the proposed method achieves competitive performance with state-of-the-art methods and proves its effectiveness, especially for challenging images.
Penerapan Digitalisasi Blockchain Pada Perguruan Tinggi Untuk Mendukung Smart University

Technological developments in the world are increasingly complex, this makes the world community need digitalization-based technology to increase productivity and reduce costs, inorder to provide more benefits for users. Included in education, a university needs to implement digitization in its organization. In order to create a university that is more efficient, effective, flexible, and secure, technology must be used. Today a faster growing technology is needed, and that technology is blockchain. Blockchain is a concept that can help accelerate the growth of digital-based education. This study discusses the definition of blockchain application in universities. As well as how universities and blockchain are used to build bigger concepts, with the aim of enabling more students to benefit from implementing blockchain. To improve the quality of research, researchers will use two methods, the first will focus on the effect of research on the quality of education and second on the effect of research on academic performance. The results of this evaluation will be concluded to improve the quality of education, both lecturers and students in the university area.
Algebras of Binary Isolating Formulas for Tensor Product Theories

Algebras of distributions of binary isolating and semi-isolating formulae are derived objects for a given theory and reflect binary formula relations between 1-type realizations. These algebras are related to the following natural classification questions: 1) for a given class of theories, determine which algebras correspond to theories from that class, and classify those algebras; 2) classify theories from the class according to the isolating and semi-isolating formulae algebras defined by those theories. The description of a finite algebra of binary isolating formulas unambiguously implies the description of an algebra of binary semi-isolating formulas, which makes it possible to trace the behavior of all binary formula relations of a given theory. The paper describes algebras of binary formulas for tensor products. The Cayley tables are given for the obtained algebras. Based on these tables, theorems are formulated describing all algebras of binary formulae distributions for tensor multiplication theory of regular polygons on an edge. It is shown that they are completely described by two algebras
Errata for Geo-Congress 2020: Geotechnical Earthquake Engineering and Special Topics

Errata identify incorrectly published items and technical errors. This file contains errata that shall be used from their effective dates; the most recent effective date is 03 30 2020.