Reviewerly/exHarmony huggingface dataset:
ARTISTIC INDIVIDUALITY OF PRE-SERVICE MUSIC TEACHERS AND EDUCATIONAL PRECONDITIONS FOR ITS (SELF-) DEVELOPMENT

The aim of the study is to reveal the peculiarities of the expression of artistic individuality of preservice music teachers and the possibilities of its development at university. Artistic individuality is perceived to be a key element conveyed in music performance. However, the individuality of a music teacher, as one of the forms of expression of his/her personality, has become the centre of modern music teacher education. The problem of the research is formulated as the following questions: (a) How does artistic individuality of prospective music teachers manifest itself? (b) In what way and what impact can the musical activity exert on artistic individuality of student music teachers? (c) To what extent can this impact be optimised? To answer the above-mentioned questions and to achieve the set aim, quantitative research (a questionnaire survey) has been conducted. The sample included 190 student music teachers of Music Education programme studying in Vytautas Magnus University (Lithuania). The future music teachers’ expression of artistic individuality was analysed as a twofold phenomenon, that is, as the attitude to the expression of artistic individuality of music teachers, and as self-assessment of the expression of artistic individuality in musical activity. The results revealed that the artistic individuality of student music teachers is not mature enough. Prospective music teachers related the expression of artistic individuality of the music teacher more to experiences of creativity, a high artistic value, responsibility, and interpretation than to evaluations. The investigation showed that the level of the expression of artistic individuality of preservice music teachers in the musical activity was not high because the insufficient level of the expression of interpretation and evaluation components dominated. It is likely that developing these abilities can have an impact on a deeper expression of artistic individuality of prospective music teachers. The disclosed educational preconditions make the basis for the development of artistic individuality of prospective music teachers and can encourage university educators to perceive the process of music teaching and learning not only as an activity of developing musical skills, but also to envisage more extensive possibilities of the development of student teachers high artistic values.
Electronic Visualization Tools: Structure, Capabilities, Design Guidelines

Designing classes using modern information technologies requires compliance with certain didactic principles and scientific and methodological provisions. The article uses electronic means of visualizing information as an important tool for delivering educational material to students. The article focuses on the use of electronic means of visualizing information, as well as recommendations on the presentation of visual information in the most commonly used electronic educational resources.
How to fine-tune deep neural networks in few-shot learning?

Deep learning has been widely used in data-intensive applications. However, training a deep neural network often requires a large data set. When there is not enough data available for training, the performance of deep learning models is even worse than that of shallow networks. It has been proved that few-shot learning can generalize to new tasks with few training samples. Fine-tuning of a deep model is simple and effective few-shot learning method. However, how to fine-tune deep learning models (fine-tune convolution layer or BN layer?) still lack deep investigation. Hence, we study how to fine-tune deep models through experimental comparison in this paper. Furthermore, the weight of the models is analyzed to verify the feasibility of the fine-tuning method.
Creating an Agency Site

In this chapter, we will build a simple demo agency site (known as a service company in India). Although I could use one of the many starter kits available at the Gatsby site that offer complete CSS, I’ve decided to use a starter kit with minimal CSS so you can learn how to write your own. We are going to do the setup first, and then move on to the basic styles. After that, we will create the sections and pages on the site. Finally, we will deploy the site using Netlify.
Attractors of autoencoders : Memorization in neural networks

It is an important question in machine learning to understand how neural networks learn. This thesis sheds further light onto this by studying autoencoder neural networks which can memorize data by ...
ANALYSIS OF ALGEBRIZATION LEVELS IN STATISTICAL TABLES

J. Diaz Pallauta1, S.M. Valenzuela1, N. Begué Pedrosa2 1University of Granada (SPAIN) 2University of Zaragoza (SPAIN)
MOTIVATION IN TEACHING STUDENTS AS A PSYCHOLOGICAL AND PEDAGOGICAL PROBLEM IN THE MODERN EDUCATIONAL PROCESS

M. Egorova, T. Zapata RuizРeoples’ Friendship University of Russia (RUDN University) (RUSSIAN FEDERATION)
LibGuides: Open Access Resources: Resources for Families and Children

Free resources for MFT, MDiv, and MAR students and their families at Louisville Presbyterian Theological Seminary
Research Guides: Finding Online Resources: NetID & Garrett ID

This guide includes some of the key online resources that are available through the Styberg Library.
USE OF TEACHING AND LEARNING RESOURCES DURING HOME PREPARATION FOR INSTRUCTION

M. Václavík, G. Mynářová, I. Červenková, Z. SikorováUniversity of Ostrava, Faculty of Education (CZECH REPUBLIC)
Wide-spaced Geochemical Mapping for Giant Ore Deposits in Concealed Terrains

Conventional geochemical methods are not suitable for or ineffective in geochemical mapping for concealed deposits hidden bellow the thick cover of transported overburden or thick sequence of post-ore sedimentary or vocanic rocks. Recently, leaching of mobile forms of metals in overburden (MOMEO) has been developed and widely tested in geochemical mapping by using wide-spaced sampling in diverse concealed terrains. The case histories of pilot study show that large-scale geochemical patterns consistent with or favorable for large metallogenic belts can be delineated using wide-spaced MOMEO geochemical mapping in concealed terrains in different settings. The sequence of cover does not mask the mineralization indications. The methods have potential in strategic exploration for giant ore deposits in concealed terrains in the future.
Watching English Video Channel In Youtube As A Learning Support Media A Perception English Department Students At Muhammadiyah University

The purpose of this study is to show a better understanding of Watching English video channels in YouTube as learning support media, based on perceptions and opinions about the benefits of its use from students of the English department of the Muhammadiyah University of Surakarta. This research is a qualitative descriptive study using a phenomenological approach. The data from this study were obtained from the interview method with four eighth semester students majoring in English education, Muhammadiyah University of Surakarta in 2020. The data analysis technique used in this study used interactive data analysis techniques which aim to produce research data that is accurate, simple, and easy to understand and can focus on research objectives or answer research questions. The results of this study indicate that watching English video channels In YouTube can help understanding English material, the use of YouTube as learning support media and reference medium is friendly user platform for students, and students feel enjoyable when learning using YouTube as a learning support medium.
Out-of-Distribution Classification and Clustering

One of the long-term goals of machine learning is to develop models which will generalize well enough that they can handle a broader range of circumstances than what they were trained on. In the context of vision, such a model would not get confounded by elements outside of its training distribution. To this end, we propose a new task for training neural networks, in which the goal is to determine if all images in a given set share the same class. We demonstrate that a model trained with this task can classify and cluster samples from out-of-distribution classes. This includes left out classes from the same dataset, as well as entire datasets never trained on. Our experiments also reveal an unreported phenomenon, which is that neural networks can overfit their training classes, leading to poorer out-of-distribution performance. It is our belief that mitigating this effect and improving on our task will lead to better out-of-distribution generalization as well as behaviours more resembling those of humans.
Graph Signal Recovery Using Restricted Boltzmann Machines

We propose a model-agnostic pipeline to recover graph signals from an expert system by exploiting the content addressable memory property of restricted Boltzmann machine and the representational ability of a neural network. The proposed pipeline requires the deep neural network that is trained on a downward machine learning task with clean data, data which is free from any form of corruption or incompletion. We show that denoising the representations learned by the deep neural networks is usually more effective than denoising the data itself. Although this pipeline can deal with noise in any dataset, it is particularly effective for graph-structured datasets.
Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities

Phishing website is a fraudulent attempt that aims to redirect computers’ users to the spoofed websites rather than the actual ones. The spoofed webpage looks similar to the genuine one, which is typically created to redirect the credential and confidential information of a user who visited a spoofed page to the hackers. This fraudulent attempt is primarily to obtain users' confidential information such as username, password and financial accounts numbers. Phishing attack threats have no limit as they could exceed hijacking conventional cyber ecosystems to cover intelligent systems, which emerged recently for the use within Smart Cities. This chapter therefore develops a real time system inspired from honeybee defence mechanisms in nature for filtering phishing website attacks in Smart Cities (PhishFree). In particular, the proposed system PhishFree filters phishing websites through three main phases of investigation: PhishTank-Match (PM), Undesirable-Absent (UA) and Desirable-Present (DP) investigation phases. The PM phase is used at first in order to check whether the requested URL is listed in the blacklist of PhishTank database. While the UA phase is used for investigation and checking the absence of undesirable symbols in Uniform Resources Locators (URLs) of the requested website. Finally, the DP phase is used as another level of investigation in order to check the presence of the requested URL in the desirable whitelist. The obtained results show that PhishFree is deployable and capable to filter various types of phishing website with maintaining a low rate of false alarms.
MODEL AND ALGORITHMS OF THE EDUCATIONAL MODULE OF THE TEXT ANALYSIS IN THE PRACTICUM OF MASTER STUDENTS

V. Nardyuzhev1, I. Nardyuzhev2, V. Marfina1, I. Kurinin1 1RUDN University (RUSSIAN FEDERATION) 2Avtomir Premier LLC (RUSSIAN FEDERATION)
STUDENT REACTIONS TO COVID-19 PANDEMIC NEWS BASED ON AN ELECTROENCEPHALOGRAM HEADSET

Appears in: ICERI2020 Proceedings Publication year: 2020Pages: 9276-9280ISBN: 978-84-09-24232-0ISSN: 2340-1095doi: 10.21125/iceri.2020.2056Conference name: 13th annual International Conference of Education, Research and InnovationDates: 9-10 November, 2020Location: Online Conference
Android-Based Online Attendance Application

Nowadays, technology development can be found anywhere. Especially, at Informatics Technology development. It can be seen in our lives, everyday, we always involving technology in our activity like using mobile phone for paying bills, direction if we want to go somewhere, and anything else. But many jobs that we still not using technology to achieve the data that we want. Usually, a lot of papers involved when doing this job. For example, attendance. Attendance is an important task to determine something, either at office, or at school. School or university has an attendance to measure for their student, and it writes on attendance list. But using attendance list means using more papers. We know paper is expensive and using paper to much it can damage our nature. For school or university, attendance become an assessment for each of their students. Every student has their limit for absence. But students have their own way to manipulate their attendance, like ask for their friend to present student who does not come to class, or if teacher or lecturer does not aware, they sign their missing attendance. This can be harmful to the school or university, another student, and students who manipulate their attendance. Another problem, attendance list using for report can be damaged, because school or university is using papers that can easily damage.
Design and Implementation of Tibetan-Chinese Dictionary System based on iOS

The system is developed based on iOS platform, which uses Objective-C language to write programs, adopts MVC architecture mode in engineering structure, realizes the corresponding logical structure and function of software, and ensures correct and rapid operation response. The system mainly implements the word search function, my word function, favourite operation and delete operation. The functional modules were tested and the system fulfilled the expected requirements and was able to run stably on the mobile terminal.
Securely Connecting Wearables to Displays

This installment of Computer's series highlighting the work published in IEEE Computer Society journals comes from IEEE Transactions on Dependable and Secure Computing.
act 1 scene 5 [leather pelts]

Research Article| November 01 2020 act 1 scene 5 [leather pelts] Kathryne David Gargano Kathryne David Gargano Kathryne David Gargano (she/her) hails from the Pacific Northwest but isn’t very good at climbing trees. She received her MFA from the University of Nevada–Las Vegas and is currently pursuing a PhD in creative writing from the University of Wisconsin–Milwaukee. Her work has been published in Pithead Chapel, the Colorado Review, Synaesthesia, and others. She is the winner of F(r)iction’s 2019 Summer Literary Contest in poetry, judged by Kay Ulanday Barrett, and her recent poem in Rust + Moth was nominated for a Pushcart Prize in 2019. You can find pictures of her three-legged pup on Instagram@peternelle3. Search for other works by this author on: This Site Google the minnesota review (2020) 2020 (95): 46. https://doi.org/10.1215/00265667-8623658 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Kathryne David Gargano; act 1 scene 5 [leather pelts]. the minnesota review 1 November 2020; 2020 (95): 46. doi: https://doi.org/10.1215/00265667-8623658 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. © 2020 Kathryne David Gargano2020 Article PDF first page preview Close Modal You do not currently have access to this content.
New Constructions of Codebooks Nearly Meeting the Welch Bound

Optimal codebooks meeting the Welch bound with equality are desirable in many areas, such as direct spread code division multiple access communications, compressed sensing and so on. However, it is difficult to construct such optimal codebooks. There have been a number of attempts to construct codebooks nearly meeting the Welch bound. In this paper, we introduce a generic construction of codebooks using generalized bent functions from [Formula: see text] to [Formula: see text], where [Formula: see text] is a prime and [Formula: see text] is a positive integer with [Formula: see text]. With this construction, we obtain two new families of codebooks nearly meeting the Welch bound. These codebooks have new parameters and could have a small alphabet size. In particular, a class of regular generalized bent functions from [Formula: see text] to [Formula: see text] is presented.
How Should Markup Tags Be Translated

The ability of machine translation (MT) models to correctly place markup is crucial to generating high-quality translations of formatted input. This paper compares two commonly used methods of representing markup tags and tests the ability of MT models to learn tag placement via training data augmentation. We study the interactions of tag representation, data augmentation size, tag complexity, and language pair to show the drawbacks and benefits of each method. We construct and release new test sets containing tagged data for three language pairs of varying difficulty.
A Neural Network with Adversarial Loss for Light Field Synthesis from a Single Image

This paper describes a lightweight neural network architecture with an adversarial loss for generating a full light field from one single image. The method is able to estimate disparity maps and automatically identify occluded regions from one single image thanks to a disparity confidence map based on forward-backward consistency checks. The disparity confidence map also controls the use of an adversarial loss for occlusion handling. The approach outperforms reference methods when trained and tested on light field data. Besides, we also designed the method so that it can efficiently generate a full light field from one single image, even when trained only on stereo data. This allows us to generalize our approach for view synthesis to more diverse data and semantics.
On the Use of Websockets to Maintain Temporal States in a Stateless Application

The Fifteenth International Conference on Internet and Web Applications and Services ICIW 2020, 27/09/2020-01/10/2020, Lisboa, Portugal
CONTINUING TEACHERS’ TRAINING IN THE FIELD OF INCLUSIVE EDUCATION

Continuing teachers’ training in an education system is a significant indicator of the strategy to increase the quality of the education process. In addition to the initial training in the psycho-pedagogical field, teachers’ training contributes to their awareness of the dynamics of changes in the surrounding reality, which influence and determine changes in several components, including curriculum.Without a continuous updating and adaptation of the curriculum, the training process cannot be efficient and cannot meet the needs and requirements of students. In this sense, this school year we organized and implemented a training program in the field of inclusive education for 350 teachers. They participated in the training program to train and acquire skills in the field of inclusive education. In order to motivate the teachers participating in the training, in addition to the program itself, a package of incentives was offered aiming at: support tools for pupils and teachers, scholarships awarded to teachers whose students have achieved better learning results and had a better attendance at school, as well as awards for teachers who have achieved a high level of inclusion in the school in which they teach.In this paper we present the results obtained from the implementation of this training program in the field of inclusive education, which highlight indicators of increasing the quality of the training and education of pupils. A questionnaire was administered to the teachers participating in the training, with the purpose to identify their level of satisfaction with the quality of the training program but also to quantify the results of their pupils, beneficiaries following the implementation of this training program.
Use of Artificial Intelligence and Blockchain in Banking Sector : A Study of Scheduled Commercial Banks in India

Artificial Intelligence (AI) is rapidly transforming the global financial services industry. Artificial Intelligence studying the thought processes of human beings and it deals with representing those processes via machines (like computers, robots, etc.) On the other side the Block-chain Technology is a technology in which digital information is stored in a public shared data-base. This technology got famous mainly after introducing the first cryptocurrency which is the Bitcoin. The study was conducted to know the importance of using Artificial Intelligence and Block Chain especially in the Banks to reduce the dependency on the human element also to understand what can be the possible implications of the use of artificial intelligence and Block Chain.
DIGITAL EDUCATIONAL ENVIRONMENT OF THE UNIVERSITY AS A FACTOR IN THE FORMATION OF BACHELORS OF ROAD CONSTRUCTION DESIGN COMPETENCE

Changes occurring in the production sphere determine changes in the requirements for the quality of professional training of technical universities graduates in the aspect of mastering professional competencies, the most important of which is the design competence. In the professional activity of bachelors of road construction it is a defining characteristic that demonstrates readiness and ability to effectively implement existing knowledge of design theory in road construction, skills of design activities, experience in individual and collective design and application of industry software products to ensure the quality of roads and highways, road safety. However, the analysis of practice shows that University graduates come to the field of road construction being insufficiently competent in the field of design. Universities are faced with the task of finding effective means to eliminate this disadvantage. The digital educational environment of a technical University has a significant potential for this in three aspects — motivational, educational and technological. Effective implementation of this potential for the formation of design competence in bachelors of road construction provides the creation of a set of pedagogical conditions in the educational process: giving the educational process of the University a value-motivational orientation that provides incentives for students to master professional activities in the field of road construction; ensuring the integration of educational, training, professional and social design, aimed at mastering students 'skills of applying knowledge of the theory of design activities in practice; students' experience in professional design activities by participating in the activities of design and research groups created by University teachers and employers. Experimental testing of theoretically based pedagogical conditions was carried out on the basis of the Volga branch of the Moscow automobile and road state technical University. 40 students of the experimental group and 37 students of the control group took part in the experiment. In the educational process of the University the theoretical and practical materials we used (author's work programs of the disciplines "Descriptive geometry and engineering graphics", "Computer-aided design of roads", "Design in the CAD environment "COMPASS", diagnostic tools for assessing the level of components of design competence). The experiment showed that the introduction of pedagogical conditions contributes to the successful solution of the problem under study. This conclusion was made as a result of a comparative analysis of data from the initial and final diagnostics of the design competence level of students in the experimental and control groups.