Reviewerly/exHarmony huggingface dataset:
Entropy: Measuring Order and Randomness

One of the first things analysts will begin to do as data is transcribed from an ET signal or artifact is to examine its information entropy or Shannon entropy. This is a measure of how many bits of information are represented by each symbol or state within a message or information density. The areas of the message that contain lots of repetition, white space, and obvious structure will have a low information density relative to parts of the message that are efficiently encoded. Efficiently encoded regions will look more like random noise. Lowdensity regions are interesting because this is where we are most likely to find more easily decoded information, such as uncompressed images, diagrams, etc. This form of analysis will work for any series of digits or symbols and can be used to map the information density of any digital signal, whether its code is binary or any other numeric base system.
СЦЕНІЧНА КУЛЬТУРА СТУДЕНТА-ВОКАЛІСТА ЯК ФЕНОМЕН ФАХОВОЇ КОМПЕТЕНТНОСТІ МАЙБУТНІХ УЧИТЕЛІВ МУЗИЧНОГО МИСТЕЦТВА

The article reflects the urgency of the problem of improving the professional training of future music teachers in the process of vocal performance.The theoretical aspects of the problem of forming the stage culture of vocal students are revealed. The paper describes the genesis of ideas about the concepts that are its components.The author substantiates the definition of the concept “stage culture of future music teachers”, which is considered as a complex integrated professional formation arising from the harmonious combination of general culture, vocal and technical skills, singing skills, artistically high-quality vocal performance experience, erudition in the field of musical art and developed performing – stage artistry and acting – the synthesis of vocal-performing, vocal-pedagogical, cognitive aspects of person’s cultural development.The multifaceted nature of this category finds its embodiment, in addition to vocal indicators, also in the manifestation of the aesthetic, ethical, spiritual qualities of future music teachers in the process of musical performance and pedagogical activity. This necessitates educational work with vocal students, which is aimed at shaping their axiological awareness of the importance of social and cultural activity, updating sociocultural reflection, at humanizing their consciousness and civic worldview.An integral component of a vocalist’s professional skills is artistry, an indicator of the quality of his personality, which reveals the richness and beauty of the performer’s inner world. The problems of the formation of stage culture are most widely covered in the field of theatrical pedagogy, being closely associated with the phenomenon of acting. In the process of pedagogical work, vocal students need to form integrated, interdependent musical and acting skills and abilities: acting within the framework of the musical image of the work being performed, the set musical and dramatic tasks; musical and plastic reproduction of the artistic image of a musical work.
Real-Time Concept Drift Detection and Its Application to ECG Data

Prediction of cardiac disease is one the most crucial topics in the sector of medical info evaluation. The stochastic nature and the variation concerning time in electrocardiogram (ECG) signals make it burdensome to investigate its characteristics. Being evolving in nature, it requires a dynamic predictive model. With the presence of concept drift, the model performance will get worse. Thus learning algorithms require an apt adaptive mechanism to accurately handle the drifting data streams. This paper proposes an inceptive approach, Corazon Concept Drift Detection Method (Corazon CDDM), to detect drifts and adapt to them in real-time in electrocardiogram signals. The proposed methodology results in achieving competitive results compared to the methods proposed in the literature for all types of datasets like synthetic, real-world &amp;amp; time-series datasets.
A New Construction for Constant-Composition Codes

Constant-composition codes are a subclass of constant weight codes. When $d\geq 4$ , the problem of determining the maximum size of a constant-composition code for general parameters is much less understood. In this correspondence, we give a new construction for constant-composition codes with techniques in additive number theory. Moreover, we provide a new connection between constant-composition codes and linear block codes with certain properties. It turns out that when $d\geq 4$ our new lower bounds improve the one by Ding (2008) substantially.
Initial Need Assessment on English Teaching Based on Riau Malay Folklore: Digital Innovation in Preserving Culture

Riau Province is a province where the majority of the people are Malay. Malays in Riau province have a variety of cultural arts so that the effort to preserve Malay culture can be done in a variety of ways to be sustainable (Culture Sustainable Development) to the children and grandchildren. In this research, short-term research, researchers will observe, analyze, collect data on various Malay folklore that exist in Riau that will be developed next in the form of digital innovation for preserving Riau Malay folklore. Then, the researcher will develop into teaching English and then the end of the product of this study is textbook material containing Malay folklore that will be developed into English in the next following research. This initial research design used by the researcher is qualitative descriptive with the population of Islamic junior high school students in Pekanbaru Riau. The findings of this study showed that folklores gave valuable pedagogical perspectives to be shared to the young generation as a heritage which should be kept and treated as a wealth while from the teachers' perspectives also given positive and negative responses thus most of the teacher participants agreed to provide learning materials in form technology advancement. The result product at this initial research is the questionnaires and interview result which will be the former analyzed to continue the next product of digital and next textbook will follow the standards of the National Education Standards Agency (BSNP) which consists of the Standard Content for Primary and Secondary Education which then consists of Core Competency and Competency Levels according to certain levels and types of education and Core Competencies include spiritual attitudes, social attitudes, knowledge and skills, so that textbooks containing Malay folklore can be maintained and preserved in order to be contained in the book and useful in the development of learning. The initial background (preliminary study) for this research is the phenomenon of teaching English which does not involve elements of local culture in learning English.
Sistem Pakar Diagnosa Iskemia Menerapkan Metode Fuzzy Sugeno

In general, many people cannot afford the services of specialist doctors in the field of diagnosing ischemic disease due to large consultation fees so they cannot get information related to the diagnosis of ischemic disease that is experienced. To solve the problems above, it is necessary to have a tool in the form of an expert system that has the same abilities as specialist doctors in the field of diagnosing ischemia disease, therefore this study designed an expert system for diagnosing ischemia disease using the fuzzy Sugeno method with the Visual Basic 2008 programming language. The results of this study can make it easier for the public in general to obtain information related to the diagnosis of ischemic disease that is experienced according to the ability of specialist doctors in the field of ischemia diagnosis
Development and Evaluation of an e-Learning Model of Teaching-Learning in Multidisciplinary Education Subjects in Technological Higher Education

The present work shows the design experience, implementation and evaluation of the training courses under the e-learning modality of a technological higher education institute. A virtual learning model was designed in accordance with the educational policy guidelines and the socio-professional and family profile of the student body. The experience shows the results from the satisfaction of the students observing the potentialities of the same and their limitations. The findings in relation to this educational innovation project showed that the main limiting factor is the digital divide gap and the low level of computer and information skills acquired by students in the school stage. However, it was observed that the subjects whose contents are mostly of a conceptual nature present a higher level of satisfaction and student academic performance. Likewise, the need for a progressive and gradual implementation of subjects in this virtual mode of learning is observed.
Posture Estimation for Robot Navigation System based on AR Markers

We have developed a system for estimating the posture of AR markers and clarified its accuracy by experiments to be used as an AR robot navigation in the welfare environment. It provides us the distance between a marker and a camera, the Euler angle of the marker. Experiments revealed the accuracy of the distance is up to 4.0%, the error of angular posture is up to 7.0%, and the error of the distance between two markers is up to 8.0%.
Fast Adaptive Spatial Reduction for Discriminative Correlation Filter Tracking

Visual object tracking is a challenging problem in which accurate scale and translation estimation is a difficult problem due to various circumstances. An efficient algorithm should correctly estimate its translation and size deformation under varying conditions. In this paper, we extract multiple channel features and measure its discriminative ability by estimating a weight factor for the object under tracking. Besides, it integrates feature reduction and interpolation techniques to improve the performance of the proposed approach. This helps us to increase the search region of the target area which in turn results in an improvement of accuracy and robustness of the proposed algorithm. Segmentation of the target object is also incorporated to learn an optimised correlation filter. The algorithm uses separate filters for translation and scale estimation. Scale estimation approach and channel weight estimation process are algorithm independent methods and hence, it can be incorporated into any tracking method. Extensive experiments on visual object tracking (VOT) were conducted using the proposed approach on bench mark dataset and have shown promising results. Since only two simple standard feature sets were used, Histogram of Gradient (HoG) and Colour attributes, the novel approach can be integrated into real world applications.
PENGARUH MEDIA KOMIK NGGAHI MBOJO (BAHASA BIMA) TERHADAP HASIL BELAJAR MATEMATIKA

The purpose of this study was to find out the influence of Nggahi Mbojo Comic Media Influence (Bima Language) on The Learning Outcomes of Mathematics Students Class VI SDN 05 Hu'u. This type of research is experimental research. The research design used is Quasi-Experimental Design with the type of Pre-test and Post-test Design. Sampling in this study was carried out with purposive sampling techniques, obtained by the study population is a student of State Elementary School 05 Hu'u with a sample number of 42 students. Based on the results of the analysis of pretest data there was no significant difference between the control class and the experiment, which was 30.78 for the average experimental class and 31.96 for the control class. Nanum posttest data analysis results, the average posttest results of student learning results in the experimental class are superior to the control class, which is 84.03 in the control class and 91.32 in the experimental class. This shows that there is an influence on the use of comic learning media Nggahi Mbojo (Bahasa Bima) on the learning outcomes of students VI SDN 05 Hu'u.
Formación de habilidades con el uso de zotero en modalidad e-learning

espanolEn el proceso investigativo constituye un elemento imprescindible la busqueda, gestion y almacenamiento de los recursos bibliograficos. De igual manera, la representacion uniforme, correcta y coherente de las referencias bibliograficas refleja la calidad, actualidad y pertinencia del estudio, ademas de aportar credibilidad y confiabilidad. Para facilitar esta labor han surgido los gestores bibliograficos entre los que se encuentra Zotero. En la Universidad de Granma, en Cuba, se imparte un curso dentro de la Maestria de Direccion donde uno de los temas trata sobre este programa informatico. Dada la situacion de la pandemia COVID-19, fue necesario impartir el programa en modalidad E-Learning. El presente trabajo tiene como objetivo mostrar los resultados alcanzados en la formacion de habilidades en el uso de este software. Para conocer la opinion sobre el desarrollo de este, se aplico una encuesta anonima a una muestra de 25 estudiantes. Los principales resultados indican que reconocieron las utilidades de Zotero para la practica investigativa, calificando de suficientes los contenidos y materiales didacticos para aprender a utilizarlo; asi como las habilidades practicas adquiridas. Ademas, se destaco el criterio de que la atencion recibida, las orientaciones, el acompanamiento y la comunicacion con los docentes fue muy buena. Se concluye que la educacion a distancia puede resultar un marco propicio para desarrollar destrezas de este tipo, siempre y cuando exista una correcta implementacion. EnglishIn the investigative process, the search, management, and storage of bibliographic resources constitutes an essential element. Similarly, the uniform, correct and coherent representation of the bibliographic references reflects the quality, timeliness, and relevance of the study, in addition to providing credibility and reliability. To facilitate this work, bibliographic managers have emerged, including Zotero. At the University of Granma, in Cuba, a course is taught within the Master of Management where one of the topics deals with this computer program. Given the situation of the COVID-19 pandemic, it was necessary to teach the program in E-Learning mode. The present work aims to show the results achieved in the training of skills in the use of this software. To know the opinion on its development, an anonymous survey was applied to a sample of 25 students. The main results indicate that they recognized the utilities of the Zotero for investigative practice, qualifying the content and didactic materials as sufficient to learn how to use it; as well as the practical skills acquired. In addition, the criterion that the attention received, the guidance, the accompaniment and the communication with the teachers was very good was highlighted. It is concluded that distance education can be a conducive framework to develop skills of this type if there is a correct implementation.
Persepsi Siswa Terhadap Pembelajaran Kelas Secara Luring dengan Adaptasi Kebiasaan Baru  di Era New Normal

Adaptation of new habits is a policy implemented by the government to mark a new phase in the New Normal era which is marked by re-opening of schools again for areas other than the red zone. Aceh Province as one of the regions that has succeeded in getting out of the red zone carries out offline classroom learning. Offline classroom learning is learning that requires students and teachers to attend class and learn directly while still applying adaptations to new habits such as wearing masks, keeping distance, and washing hands or using hand sanitizers while in the school environment. The method used is a quantitative method, namely by measuring students' perceptions of offline classroom learning by implementing new habit adaptations. Respondents in this study were students of class VI Elementary School 1 Alue Bilie, totaling 51 students. The data were obtained by distributing questionnaires which were then analyzed using a Likert scale. The conclusion of this study shows that students' perceptions of offline classroom learning with the adaptation of new habits are positive with a value of 84%. That is, from a total of 51 students who became respondents strongly agreed with the holding of offline classroom learning (face-to-face) with the adaptation of new habits such as wearing masks, maintaining distance, and always washing hands while in the school environment. The reason is because it is easier to understand the material in class, can ask and answer subject matter directly, besides that students also enjoy the process of working on assignments given in class directly with the teacher.
THE MAIN DIRECTIONS OF FORMATION OF SOCIO-CULTURAL COMPETENCE IN STUDENTS

The article reveals the scientific significance of the formation of socio-cultural competence in students. The main directions of formation of socio-cultural competence in students were analyzed. Also, pedagogical opportunities for the formation of socio-cultural competence are scientifically based.
GREEN SUPPLY CHAIN MANAGEMENT AND PERFORMANCE OF LISTED OIL AND GAS FIRMS IN NIGERIA: A MODERATING ROLE OF INTERNET OF THING

Integration of Internet of Things (IoT) into an eco-innovation system in Green Supply Chain Management Practices (GSCM) and Firms Performance (OP) is an important and desired direction with sufficient and necessary potentials to improve supply chain especially in the oil and gas industry. Conversely, the complexity nature of oil and gas supply is capable of influencing oil and gas prices and ecosystem, owing to low environmental standards in the petroleum downstream sector (PDS) in Nigeria. Previous researches displayed a limited role played by GSCM practices on the OP. Therefore, this study investigates the moderating role of IoT on the relationship between GSCM practices and OP in Nigeria’s PDS. A quantitative research approach was employed using a cross[1]sectional survey design. The participants were 365 which is a representative sample of senior staff from 7 companies operating in PDS selected using a stratified random sampling technique. The instrument of data collection was a developed and validated questionnaire designed to elicit responses on a 5-point scale. The data collected were analyzed using SmartPLS 3 by conducting the Partial Least Square Structural Equation Modelling (PLS-SEM) analyses. The results revealed that, GSCM practices has a significant relationship with OP (?=0.91, t=5.07; p < 0.05). Similarly, IoT has a significant moderating effect on the relationship between GSCM Practice and OP (?=-0.051, t= 2.44; p < 0.05). The findings of this study have provided empirical evidence on the effect of GSCM practices on OP and thus, IoT moderates the relationships thereby, supporting the hypothesized relationship. Given that integration of IoT into GSCM practice is relatively new, the integrated IoT application/GSCM framework proposed in this study needs to be further strengthened through refinement and validation across different economy.
Efficient Version Space Algorithms for Human-in-the-Loop Model Development

When active learning (AL) is applied to help users develop a model on a large dataset through interactively presenting data instances for labeling, existing AL techniques often suffer from two main drawbacks: First, to reach high accuracy they may require the user to label hundreds of data instances, which is an onerous task for the user. Second, retrieving the next instance to label from a large dataset can be time-consuming, making it incompatible with the interactive nature of the human exploration process. To address these issues, we introduce a novel version-space-based active learner for kernel classifiers, which possesses strong theoretical guarantees on performance and efficient implementation in time and space. In addition, by leveraging additional insights obtained in the user labeling process, we can factorize the version space to perform active learning in a set of subspaces, which further reduces the user labeling effort. Evaluation results show that our algorithms significantly outperform state-of-the-art version space strategies, as well as a recent factorization-aware algorithm, for model development over large data sets.
Analysis of Depth Estimation and Semantic Segmentation Algorithms for the Environment Perception of Automated Vehicles

This paper evaluates different deep learning based depth estimation algorithms. We propose improvements for a state-of-the-art unguided depth completion method where the number of necessary parameters can be more than halved at unvarying accuracy. Based on the results of the depth estimation evaluation, we consider the performance of semantic segmentation methods. We investigate if the completion improves the accuracy of point cloud based segmentation. The results are compared to the segmentation accuracy using only measured sensor data. Moreover, we give a comparison to the segmentation based solely on predicted depths of a monocular camera. Here, we depict the differences in accuracy when a costly lidar sensor is economized. The results are further validated on a self-provided dataset recorded with the institute’s own test vehicle.
The Map of BMT in Brazil

Brazil has a vast Hematopoietic Stem Cell Transplantation (HSCT) program with 126 teams and 86 Centers recognized by the Ministry of Health. Outcomes of these transplants are unknown. The objective of this work is to create a public database to help the public and health care professionals to find information on allogenic HSCT performed in Brazil. Methods: The team chose indicators, outcomes, and developed tools to accept secure data input using e-DBtC, Access, RedCap and excel spreadsheet. All data was inserted into the Virtual Analytics platform after careful validation and then presented as tables and graphics in separate portals for healthcare professionals and general public. Results: 29 HSCT centers participating in the project sent data on all consecutive allogeneic transplants performed between August 2019-2020. We gathered data from 943 transplants, with results arranged in graphs and tables, with the possibility of using various filters, so users can customize their search. In conclusion, more than 60% of all allogenic transplants performed in the country are now included in the Map of BMT, in an easy and accessible way to be searched. We hope to continue this initiative and extend it to other services, emphasizing great accomplishment of the Brazilian transplant community.
«У источника театрального творчества…»: страницы истории Российской государственной библиотеки искусств

The paper gives the brief historical review of the Russian State Art Library activity during the years. Originally, the library was established as the library at the Maly Theatre. In the paper, the author highlights the work of only one RSAL department — Visual Information Center (VIC). Specific features of library service that would cover the work with the library readers in VIC department were developed when RSAL was just established. The author notes that the most important part of VIC work is to serve theatres of Russia