Reviewerly/exHarmony huggingface dataset:
The compositions of wind solo by E.V. Denisov in the context of the contemporary educational process

The purpose of this submitted scientific article is disclosing the musically pedagogical distinctiveness, the series of crucial and the most significant training educational criterions of compositions for wind instruments solo by E.V. Denisov. The row of methods for this scientifically investigative process is formed by applying the axiological, comparative as well as functional approaches concerning the studying research theme. The using of methods such as musically performing analysis and synthesis are specifically important in the development of delineated question. Researcher for structuring of scientifically investigative material as well as for analytical handing information and making general conclusions utilizes structurally functional method. Scientific newness of the represented article is stipulated by revealing the most characteristic, value-productive, musically pedagogical criterions of masterpieces for wind professional instruments solo by E.V. Denisov, which were written by celebrated composer as for wood and for brass academic wind instruments. Conclusions. There are the next essential indications, maximally significant training-educational criterions of musically instructional particularity concerning the compositions for wind academic instruments solo by E.V. Denisova. These are the formation of holistic, complete instructive process, the modernization of traditional artistically expressive means in relation to wind professional instrumentations, the utilization contemporary nontraditional musically performing language (performing manners, effects and composer technics). We also emphasize the accentuation of understanding the specialized process by student for the communicative essence of musical art (outside, inside dialogism). We also underline the activation of artistically imaginative thinking of student as into the vector of discovering the characterization one or another wind composition solo and into the direction for comprehension of an imagination, artistic content touching to E.V. Denisovʼs works for stage-single performing.
Image Classification of Real Estate Images with Transfer Learning

Each minute, over 2 000 searches are made on Sweden’s largest real estate website. The site has over 20 000 apartments for sale in the Stockholm region alone. This makes the search-function a vital ...
Learning from Partially Labeled Sequences for Behavioral Signal Annotation

Herewith, we present a learning procedure that allows to deal with a partially labeled sequence dataset, i.e. when each sequence in the train dataset may contain labeled as well as unlabeled chunks. In our application case, this occurs when motor activity has been manually annotated (due to the recognition based on the video recording) and independently registered by the measuring system of high precision (touch sensors): human annotation misses some events that have been captured by the sensors. In the general setting, we aim at predicting the labels for a new fully unlabeled movement sequence, while the training has been performed on the partially labeled dataset. For this purpose we propose to use classical sequence model (hidden Markov model) that is furnished with a constrained Viterbi algorithm, which gives us a quick access to the hard approximation of the correct labeling sequences. We demonstrate, that this simple modification that constrained Viterbi provide, allows the HMM model to be trained on sparse data, and overall results in surprisingly high log-likelihood and accuracy level in annotating the partially labeled behavioral sequences in climbing. The same time we show the way to access correct labeling of the unannotated signal that can be helpful in various sport science studies for movement pattern sequential prediction.
Information Technology In A New Normal Era

Various efforts to prevent the spread of Covid-19 have been carried out, which resulted in the formation of a new normal life order for the community. Some of the adjustments include doing all activities from home, always washing hands, wearing a mask, and keeping a distance. New normal is also closely related to Information Technology (IT), where some activities are carried out through information technology assistance. Work From Home (WFH), online learning, online health consultations, and wedding receptions are conducted through a virtual room. However, in fact, there are still many who have not mastered and understood this, so this research explains the role of information technology, which is so important and quite influential in the fields of economy and business, education, health, religion, and the Internet of Things which is the core of current information technology.
Knowledge graphs meet moral values

Operationalizing morality is crucial for understanding multiple aspects of society that have moral values at their core {--} such as riots, mobilizing movements, public debates, etc. Moral Foundations Theory (MFT) has become one of the most adopted theories of morality partly due to its accompanying lexicon, the Moral Foundation Dictionary (MFD), which offers a base for computationally dealing with morality. In this work, we exploit the MFD in a novel direction by investigating how well moral values are captured by KGs. We explore three widely used KGs, and provide concept-level analogues for the MFD. Furthermore, we propose several Personalized PageRank variations in order to score all the concepts and entities in the KGs with respect to their relevance to the different moral values. Our promising results help to progress the operationalization of morality in both NLP and KG communities.
A Study on the Satisfaction of Peer Feedback in Online Korean Writing Classes - Focusing on Realtime Online Process-based Writing Classes Utilizing Zoom

The purpose of this study was to examine the type, frequency, and characteristic aspects of feedback after conducting peer feedback activities in online Korean writing classes using Zoom for foreign university students and to find out the educational utility and learners’ satisfaction of peer feedback. Peer feedback activities were conducted for sixty students in academic Korean writing classes for one semester in four domestic universities (or graduate schools). Using Zoom, students’ writings were shared during the class and feedback was provided by peers. The results of quantitative analysis of the contents and the style of peer feedback were as follows. First, the contents of feedback were provided in the order of content, vocabulary and expression, grammar, and spelling. Second, the way of feedback was used frequently in the order of pointing out errors, suggesting alternatives, paying compliments and asking questions. In addition, a follow-up in-depth interview was conducted to analyze learners’ perception of peer feedback on aspects of educational utility and satisfaction of feedback. 78% of the students surveyed responded positively to motivating learners to study Korean, giving confidence and having interest, which means that peer feedback activities in writing class had an significant effect on the satisfaction of writing classes with educational utility. (NamSeoul University·Ewha Womans University)
THE ROLE OF INFORMATION AND COMMUNICATIVE COMPETENCE IN THE ORGANIZATION OF RESEARCH ACTIVITY OF INFORMATION, LIBRARY, AND ARCHIVAL AFFAIRS SPECIALISTS

In order to improve professional and personal information and communication competence qualities, a specialist in information, library and archival affairs are to acquire a high level of knowledge, skills and abilities as well as to demonstrate ability to apply effectively modern information and communication technologies in the professional activities. Scholars define information and communication competence as one of the basic competencies of specialists in this specialty. This is due to the intensification of computerization and informatization processes and the use of the latest information technologies to optimize library and information processes. The purpose of the paper is to analyze the essence of the concept of «information and communication competence», to determine its role in the organization of research activities of specialists on information, library and archival affairs. Methods used: analysis and synthesis, comparison and generalization, study of scientific literature, periodicals in the electronic database Google Scholar. The «information and communication competence» is defined as knowledge of sources of information resources; practice-oriented skills in the field of information and communication technologies; ability to work with different types of information; worldview of digital technologies; understanding and awareness of the importance of information and communication technologies in professional activities; generation of new ideas in the field of these technologies for training and professional and personal development. We established that the research activities of future specialists on information, library and archival affairs involve obtaining, collecting and analyzing of information; formulation of conclusions and registration scientific results obtained. The formation of information and communication competence of specialists on information, library and archival affairs is more effective under the condition of their active participation in student scientific and practical conferences; development of multimedia presentations as individual research tasks; preparation of information messages, term papers and graduate thesis.
IMPLEMENTASI GERAKAN LITERASI SEKOLAH MI ISLAMIYAH KEDUNG MEGARIH

of the literate movement of Mi Islamiyah School of Kedung Megaruh. Thesis. Islamic University of Lamongan. The current education program has begun to increase, especially the number of changes starting from the curriculum to the demands of the community about quality education. Many institutions today have implemented a school literacy movement program system, it is hoped that this program can improve students' thinking patterns and knowledge. The author conducted a field research to answer the question: What is the Mi Islamiyah Kedung Megarih school literacy movement program, What is the role of teachers, students and parents in the Mi Islamiyah Kedung Megarih school literacy movement program. Data collected through observation interviews with teachers, students and parents, documented and then analyzed properly. The validation of the literacy movement interview is as follows: 1) the principal 2) the guardian of the library 3) the teacher and the homeroom teacher 4) the parents 4) the students. Based on these results the literacy movement implementation is categorized as very valid.
Differences in Students Emotional Intellegence Based on Gender

Someone who has good emotional intelligence will be able to recognize and manage their own emotions, be able to motivate themselves, recognize other people's emotions and be able to build good relationships with others. Every individual has different emotional intelligence depending on the factors that affect emotional intelligence itself. One of the factors that affect emotional intelligence is gender. This study aims to determine how the differences in students' emotional intelligence based on gender. This research is a type of comparative descriptive research, with a research sample of 282 students of SMA Negeri 1 Padang who were registered in the 2020/2021 academic year, divided into 123 male students and 159 female students. The results of this study are (1) the emotional intelligence of male students is in the medium category, (2) the emotional intelligence of female students is in the medium category, and (3) there is no significant difference between the emotional intelligence of male students and female students in SMA Negeri 1 Padang.
A Study on Machine Leaning Based Voiceprint Recognition

Biological recognition technology is a very important identification technology, in which it contains voiceprint recognition. This paper will introduce six different voiceprint recognition algorithms, including traditional Gauss Mixture Model, Hidden Markov Model and Identity Vector Model, and three deep learning models, Deep Belief Network, Recurrent Neuro Network, and Convolutional Neuro Network. This paper will discuss the advantages and some problems of these six models, and how they are applied to voiceprint recognition.
SOCIAL NETWORKS AS ONE OF THE MAIN MECHANISMS OF INTERACTION WITH THE PUBLIC IN DETERMINING PRIORITIES FOR THE DEVELOPMENT OF PERM CITY

Social networks have entered our lives very quickly and have become an integral part of it. That is why in the sphere of state and municipal administration, the need to enter the information and telecommunications network of the Internet and social networks is not excluded for more convenient interaction of state authorities, local self-government bodies with citizens, as well as in determining the main directions in the development of policy. The main problems of interaction of local self-government bodies with the population through social networks are considered in the article. With the help of a sociological survey and analysis of social networks of Perm city administration, a special methodology was established for the development of a communication channel between local governments and the population of Perm.
Automatic detection of Alzheimer’s disease and mild cognitive impairment from spontaneous speech collected during tablet‐based interviews: A preliminary result

Abstract Background As the world’s elderly population increases, health monitoring technologies that can automatically detect subtle changes resulting from Alzheimer’s disease (AD) have become increasingly important. In this respect, speech is one of the promising clues due to the expansion of voice‐based interaction systems such as smartphones and tablets. Indeed, previous studies have succeeded in quantifying language dysfunctions and identifying AD and mild cognitive impairment (MCI) from speech data collected during neuropsychological tests conducted by clinicians. Conducting such assessments in an automated fashion by using computer devices would extend opportunities for assessments and help with the early detection of AD. In particular, if we can detect language dysfunctions related to AD from various types of speech data (e.g., question answering and daily conversations), it would extend the scope of application and help improve the current worldwide low‐diagnosis coverage. Method In this study, we developed a tablet‐based application and collected spontaneous speech data during interview tasks from 106 Japanese seniors consisting of 48 healthy controls (HC), 33 MCI, and 25 AD. Participants answered nine questions relating to their current condition, yesterday’s dinner, games played as a child, and future travel plans. For comparison, we also collected speech data during neuropsychological tests (e.g., verbal fluency and picture description tasks) using the tablet. We extracted vocal and prosodic features from both speech data and then built binary classification models for differentiating MCI or AD from HC using a support vector machine with a feature selection method. We evaluated the models by leave‐one‐subject‐out cross‐validation. Result We found that the models using speech data during neuropsychological tests achieved the accuracy of 86.3% for HC vs. AD and 80.2% for HC vs. MCI. The models using spontaneous speech data from interview tasks achieved comparable accuracies: 87.7% for HC vs. AD and 81.6% for HC vs. MCI. Conclusion We demonstrated the possibility of using tablet‐based automatic assessments for detecting patients with both MCI and AD. In addition, our results suggest that speech data from not only neuropsychological tasks but also when answering everyday questions might contain useful information to help early detection of AD.
Membangun Nalar Pengetahuan Warga Negara Melalui Buku Digital Dikalangan Mahasiswa

The purpose of this study was to see student awareness and benefits in using e-book technology to build civic knowledge in the faculty of teacher training and education at Muhammadiyah University of North Sumatra. To find out how the implementation of e-books as a scientific repertoire in civic knowledge is activated by students. This type of research is a type of qualitative research based on the phenomena that occur around the academic environment, where the research instruments used are literature study, interviews, and documentation. In this study, researchers took documents about the implementation of e-books in improving student civic knowledge, and conducted interviews with active students who were in the teaching and education faculty. The results and conclusions of this study indicate that the students 'lack of knowledge in understanding the advantages of technology is growing from day to day and one of them is an ebook, even though e-book is one of the media that can be used as a learning resource to increase students' knowledge both in terms of nature. learning and non learning
Cognitive aggregate-flow metamodel of the process automatic spacecraft flight control

Currently, there is an urgent scientific problem of ensuring the effective implementation of the automatic spacecraft (AS) flight program, taking into account the material, energy and information resource limitations of onboard systems (OS). The consumption of OS resources largely depends on the synergistic phenomena that occur during intersystem interaction in the AS. By using these phenomena, it is possible to increase the efficiency of the use of existing resources, as well as to supplement them with new "synergistic" resources [1,2]. At the same time, synergistic phenomena can lead to premature development of the OS resource and unforeseen (non-calculated) failures and accidents [3]. For purposeful search and use of these synergistic phenomena, it is necessary to conduct a special study of the processes occurring on board. Research becomes possible only when moving from the system-cybernetic model of AS as a " black box "to a system-cybernetic model that provides" transparency "of AS as a" white box", which requires high accuracy and complexity of analysis of processes occurring on board [4]. This situation determines the urgency of developing new engineering techniques and modeling technologies. To create them, it is necessary to solve the problem of the initial stage of building models that describe in one form or another the engineering knowledge of OS development experts and flight control specialists [5]. The development of a universal method for solving the problem of the initial stage of modeling is significantly complicated due to the wide variety of OS, each of which has its own emergent and synergistic properties, which largely depend on the "non-clonability" of their elements [6,7]. &#x0D; In order to simplify the modeling of real OS functioning processes, taking into account their specifics, it is proposed to carry out preliminary development of a formalized cognitively structured aggregate-flow metamodel ("model of models") of the AS flight control process, which contains information about potentially existing capabilities for controlling the state of vehicles in various conditions of implementation of nominal and abnormal processes. Creating a conceptual metamodel allows you to make the transition from the subject formalized model to the next stages of modeling-formal-mathematical and material-functional modeling, which take into account the individual characteristics of the processes on board the AS when controlling its flight. At the same time, the problems of overcoming the complexity of the metamodel, including its dimension, are solved.
RELATIONSHIP OF SELF EFFICACY WITH SELF REGULATED LEARNING STUDENTS OF SMA N 1 LUBUK BASUNG

Ideally a student has good self-efficacy and self-regulated learning. Today it is found that students do not focus and concentrate in learning activities and doing assignments because of a lack of self-regulation in learning. This study aims to reveal (1) students' self-efficacy, (2) students' self-regulated learning, (3) to test the significant level of the relationship between students' self-efficacy and self-regulated learning. This research is a quantitative study with a correlational descriptive method. The study population was 955 students of SMA N 1 Lubuk Basung who were registered in the 2020/2021 school year. The number of samples is 285 students, obtained by using the Stratified Random Sampling technique. The instrument used was a questionnaire about self-efficacy and self-regulated learning with a Likert scale model. The data analysis technique used is descriptive technique using the percentage formula to see a picture of self-efficacy and self-regulated learning. Meanwhile, to test the significant level of the relationship between self-efficacy and self-regulated learning, the Pearson Product Moment Correlations formula is used. The research results reveal that; (1) the overall student self-efficacy is in the medium category (2) overall self-regulated learning is in the medium category (3) and there is a significant positive relationship between student self-efficacy and self-regulated learning with a r table of 0.113 and r count of 0.674 significant level of 0.000. This means that the higher the self-efficacy, the higher the students' self regulated learning.
MET: a Java package for fast molecule equivalence testing

Abstract An important task in cheminformatics is to test whether two molecules are equivalent with respect to their 2D structure. Mathematically, this amounts to solving the graph isomorphism problem for labelled graphs. In this paper, we present an approach which exploits chemical properties and the local neighbourhood of atoms to define highly distinctive node labels. These characteristic labels are the key for clever partitioning molecules into molecule equivalence classes and an effective equivalence test. Based on extensive computational experiments, we show that our algorithm is significantly faster than existing implementations within , and . We provide our Java implementation as an easy-to-use, open-source package (via GitHub) which is compatible with . It fully supports the distinction of different isotopes and molecules with radicals.
Blockchain Application in Manufacturing Industry – Bibliometric and Systemic Analysis

Blockchain technology provides secure, reliable and transparent solutions to different challenges arising from the growing need for connectivity presented nowadays. Recent developments in industrial processes sets fertile ground for the application of this technology. Aiming to understand the state of the art of blockchain technology application in the manufacturing industry, this study presents an investigation of relevant publications on the subject, including also bibliometric and systemic analyzes. 30 articles of major relevance were selected from a portfolio of 1432 publications, presented between 2015 and 2019. Thus, it was possible to identify research trends and opportunities.