Reviewerly/exHarmony huggingface dataset:
Model detection and prediction of horizontal deformation of the earth’s surface based on the movement of its markes

Relevance of the topic. To identify areas of increased deformation of the earth’s surface of rock blocks containing a mineral Deposit, GPS monitoring measurements of horizontal movements of markes installed at different points are carried out. An actual problem that arises here is the creation of a methodology that reliably describes and predicts the formation and location of deformation zones based on the movements of labels. The aim of the research is to create a methodology for forming, calculating and applying a binary mathematical model that describes and predicts the location and contours of the resulting areal deformations of the earth’s surface of two neighboring rock blocks based on placemark movements. Research methods include mathematical modeling of areal deformation, functional and numerical optimization of the parameters of the created model, experimental calculations and analysis of the distribution of the resulting and predicted deformation in a practical example of placemark movements. Research result. The model is based on the idea of blocks based on the spatial constraints of their horizontal dimensions and elastic properties in the hierarchical mosaic structure of composing rocks. Assuming that the size of a block of the earth’s surface does not exceed 5 km within the limits of a mineral Deposit, the movements of its points are considered in the plane. The resulting areal deformation is represented by the sum of linear and angular deformations. The model parameters were identified using the methods of least squares and parabolic vertex approximations implemented in the specified sequence of iterative calculations using the given optimization formulas. Calculations are regulated by the standard deviation of model and labels displacements. It boils down to the permissible small limit determined by the GPS positioning error. A practical example of interpreting placemark offsets shows the properties of model invariance in a multidirectional spatial coordinate system, as well as the detection of areal deformation zones and the forecast of its contour development. Conclusions. The applicability of the presented methodology for the deformation interpretation of multidirectional movements of the earth’s surface markes registered by the monitoring system is noted. The model’s conclusions about the areal location of deformation zones and its level can be used in predictive estimates and criteria that determine the possibility of safe mining operations in the detected zone and the content of man-made objects in it.
MS SQL server and MySQL response speed comparation

In order to select database managmeent tool (i.e., DBMS) for information system developed for Valjevo Business School, testing of two available options (i.e. MS SQL and MySQL) was performed. Instead of using available benchmark software, simple software to test features relevant to the system was developed. The tool was developed using the same technology as the school’s information system and was designed to test only relevant features. The aim was not to provide general evaluation of the tested DBMS but to evaluate specific features and to determine option more relevant for the specific situation and environment. This paper describes applied methodology and displays realized results. In the first part of the paper the technical and organizational foundation is described. Then there is a description of possible solutions to the problem with the justification of the applied methodology. The first step in realization of the research was to determine testing domain and investigation framework. The features and requirements of the technical environment are shown. The conceptual design and features as well as user interface and available options of the testing tool realized for the purpose of this research are described. Finally the results and conclusions are presented.
DEVELOPMENT OF ENGLISH TEACHING MATERIALS WITH POSTER PRESENTATION ASSISTED VLOG

The purpose of this research is to produce English language teaching materials 1 through the implementation of poster presentation assisted vlog strategies for improving language skills and student learning outcomes at private Universities in Padang. This research uses research and development (RD) methods. The stages of development in this study using the development procedures of the Puslitjaknov team include; (1) needs analysis, (2) initial product development, (3) expert validation and revision, (4) small-scale field trials, (5) large-scale field trials. Data collection methods in this study are the observation sheets, questionnaires, expert validation sheets and evaluation (tests). The results of this development research are effective and applicable English 1 teaching materials used for non-English major students.
Implementation Levenshtein Distance Algorithm for Hifdzil Quran Quiz

Al-Qur'an as a guide to one's life implies that Qur'an must also be embraced by Islamic values contained in it, so that values can be a force that motivates and underlies daily activities, and becomes a tool struggle in the field of society or science.It is even more beautiful if that appreciation increases or develops into an effort to improve the study of the interpretation of Qur'an, even trying to memorize it as part of worship.Because memorizing Qur'an for certain people, even though it consists of 30 juz and 114 suras, is not difficult.The problems faced in the current era are the lack of interest in memorizing Qur'an and lack of enthusiasm when told to memorize while muttering together, there are still many who memorize carelessly, while joking at their friends, some even chatting.Similarly, the results of memorization are mainly for memorizing, meaning that there are still many students who have not been able to memorize correctly and fluently.One of the main causes of lack of interest in memorizing the Koran is the method and learning media that are less attractive, seeing this problem is carried out a study in which Al-Quran memorization namely juz 30 is packaged in the form of quizzes with sound input and implemented into a device, smartphone based on android.The method used in this study is Levenshtein Distance.The purpose of this study is to attract interest in memorizing the Koran by packaging it into digital form.Based on the research that has been done, the results show that this application can display according to what is said.
Drawing a Sample with Desired Properties from Population in R Package “drawsample”

The aim of this study is to develop an R package called drawsample, which will be used to draw samples with the desired properties from a real data set. In accordance with the aim of the study, a sample with the desired properties can be drawn by purposive sampling with determining several conditions, such as deviation from normality (skewness and kurtosis) and sample size. Different applications of the package drawsample are illustrated using real data from the “Science and Technology(Score_1)” and “Social Studies (Score_2)” subtests of 6th Grade Public Boarding and Scholarship Examinations (PBSE). As the importance given to research with real data has increased in recent years, a good approach would be to draw a sample of the population. With this package, it is expected that researchers will draw samples as close as possible to the desired properties from the population or a large sample. It is thought that using the drawn samples obtained from real data with package drawsample will provide an alternative to simulation studies as well as a complement for these studies.
Preservation of Library Funds: Current View on the History and State of the Problem

One of the principal concerns of the library is to provide the public with valuable resources that are resided in them and form the national cultural heritage. It is clear that the objective process of ambient ageing of documents cannot be stopped. Still, it can be slowed down by properly storing and using them carefully, which is a key to full use today and preservation for generations to come.
Challenges and Opportunities Faced by Piano Basic Education in Universities

The changes in society and the rapid development of the economy have enabled my country's education industry to innovate in the continuous development of the new era. College music majors have ushered in new opportunities in the wave of development, but at the same time, they also have many problems. How to ensure the better progress of education in the process of changing the times has become a major problem for many teachers. This article starts with the main factors restricting the development of piano basic classrooms in colleges and universities, looking for specific ways to promote its better development, hoping to help other music teachers to learn from.
Online Learning Strategies to Reduce Online Gaming: Case Studies in Sidoarjo, East Java, Indonesia

This article describes a strategy adopted by elementary and high schools during the COVID 19 pandemic that aims to keep students studying at home and fill their time with assignments to reduce playing online games. This strategy involves assigning teachers to students in collaboration with students' parents, as well as using a personal touch approach. Media used in online learning include Video Calls from WhatsApp, Google Classroom and the Zoom application.
Special Section Guest Editorial: Get WIRED!

The <i>Journal of Photonics for Energy</i> (JPE) covers fundamental and applied research areas focused on the applications of photonics for renewable energy harvesting, conversion, storage, distribution, monitoring, consumption, and efficient usage.
K-Means Clustering Video Trending di Youtube Amerika Serikat

Youtube is the most popular video platform in the world today. Successful YouTubers can create videos that are widely viewed by many Youtube users around the world. A lot of viral videos on Youtube came from the United States. But, making viral videos on Youtube is a tough challenge, both for seasoned YouTubers and especially for new YouTubers. This research focuses on discovering the properties of these viral videos by clustering them into distinct clusters. K-Means algorithm is used for the clustering process. The purpose of this clustering process is to look for patterns in the data that were previously unseen. The result shows that the videos are divided into three clusters which are built from 3 variables; views, likes and dislikes. The patterns and insights found in this study can be useful for aspiring video makers who want to achieve success as a Youtuber.
Soft-Skills Model Of University Graduate: Opinions Of Students And Teachers

In the contemporary unstable and rapidly changing world with vocational, subject-specific skills (hard skills) specialized, professional, universal qualities (soft skills) became critically important.A special role in their formation belongs to tertiary education.The generally accepted definition and agreed list of soft skills are missing, the corresponding classifications and lists, approaches to their classification are very diverse.In this regard, it seems appropriate to create a unified model on the basis of complex theoretical and empirical research.As the results of the survey of 272 students and 175 teachers from Russian universities, not all of them (especially the students) are acquainted with the concept of soft skills, although awareness is gradually increasing.The main sources of information are colleagues at school / work, media, training courses.The most important for the formation of soft skills are senior secondary schools, secondary vocational and higher education.The subjects of the educational process are expected to a deeper development of soft skills than there is.The most popular communicating, collaborating and coordinating with others, the least which service orientation, retraining, work in conditions of uncertainty.Among the effective ways of learning are practice and internships; workshops, games, case studies; educational projects.The results will be the basis for the model development of soft skills of the graduate of the modern Russian University in the international context which will serve as a tool of management of educational process and improve its quality in accordance with modern requirements.
HUBUNGAN KECERDASAN EMOSIONAL DENGAN MINAT BELAJAR SISWA KELAS IV SDN 173418 POLLUNG

This study aims to determine the relationship between emotional intelligence and learning interest in fourth grade students of SDN 173418 Pollung. The sample in the study consisted of 34 students. This type of research is quantitative. The data collection tool used to determine student learning motivation was a questionnaire that had been tested for validation and reliability. Both classes are normally distributed because Lhitung ≤ Ltabel. From the Linearity test, it is known that the significant value of deviation from linearity is 1.80 ≤ 3.32, it can be concluded that there is a linear relationship between emotional intelligence and student learning interest. The t test was conducted at the real level (α = 0.05) that tcount ≥ t_ (table), namely 5.925 ≥ 2.306, this proves that Ha is accepted, so the author concludes that there is a significant relationship between emotional intelligence and the learning interest of fourth grade students of SDN 173418 Pollung. Keywords: Relationship, Emotional Intelligence, Learning Interest.
CAPISCO @ CONcreTEXT 2020: (Un)supervised Systems to Contextualize Concreteness with Norming Data

This paper describes several approaches to the automatic rating of the concreteness of concepts in context, to approach the EVALITA 2020 “CONcreTEXT” task. Our systems focus on the interplay between words and their surrounding context by (i) exploiting annotated resources, (ii) using BERT masking to find potential substitutes of the target in specific contexts and measuring their average similarity with concrete and abstract centroids, and (iii) automatically generating labelled datasets to fine tune transformer models for regression. All the approaches have been tested both on English and Italian data. Both the best systems for each language ranked second in the task.
CoNLL Dependency Parser: Extrinsic Evaluation through the Open Information Extraction task

Dependency Parsers (DP) are parsers that analyze dependencies between words in a sentence. Currently, dependency parser evaluation is a problem whose solutions are not well defined in the scientific community. Although the DP intrinsic metrics are the foremost choice of evaluation, extrinsic evaluation enables a different evaluation based on a downstream. Different results of DP can vary according to the domain task. Thus, this work applies an Open Information Extraction (OIE) method in Portuguese to provide an extrinsic evaluation of a set of CONLL Dependency Parsers. Our results demonstrate that there is a difference in the evaluation of Dependency Parsers considering a particular task.
Cluster of earthquakes in Puget Sound considered 'normal', earthquake researchers say

Recent smaller earthquakes are being examined by researchers with the Pacific Northwest Seismic Network.
Kostiantyn Simeonov and Lev Venediktov: Conductor’s and Choirmaster’s Co-creation in Musical Art in the Second Half of the 20th century

The article analyzes the life and creative paths of K. Simeonov and L. Venedyktov against the background of musical art in the second half of the twentieth century. Three interconnected aspects of the identity of the life-creating ways of the mentioned artists are singled out and substantiated – the personal-biographical aspect, the aspect of creative self-realization and the artistic-pedagogical aspect. It is emphasized that the reason for highlighting the personal-biographical aspect was the high degree of correlation between the content-formative components of artists' biographies: their upbringing in a spiritual musical atmosphere, the presence of the first higher education as choirmasters and so on. It is noted that the maximum expression of the aspect of creative selfrealization of K. Simeonov and L. Venedyktov falls on the periods of their joint work in the Kyiv Opera in 1961–1966 and 1973–1976 as chief conductor and chief choirmaster of the theater. This aspect is based on the harmonious combination of artists' professional requirements for the artistic team with respect for each musician through the formation of a unique creative and synergistic atmosphere during rehearsals. The author of the article found that common in the creative approaches of K. Simeonov and L. Venedyktov was a cautious attitude to the singing voice, which was expressed in the recognition of the individuality of each singer as opposed to the idea of dissolving the singer's personality in the choir, and as a result in a careful selection of parts for each singer. The author proved the importance of involving by K. Simeonov and L. Venedyktov of creative communication with choir of different styles in music narrative with various features: authoritarian, democratic and liberal. They became the basis for the formation of Tymoshenko's newest pedagogical school for the professional training of specialists in choral art. The grounds for distinguishing the artistic and pedagogical aspect of the identity of life paths of K. Simeonov and L. Venedyktov were found by the author in recognizing the priority of the orienting function of the teacher, when the prerequisite for successful professional self-realization of students in the future is their perception of the mentor as a role model, enhanced by a high level of cognitive activity for independent solution of creative tasks.
Development of neoplastic region selection algorithm based on breast cancer whole slide image

Analysis of breast cancer whole-slide image is an extremely labor-intensive process. Histological whole slide images have the following features: a high degree of tissue diversity both in one image and between different images, hierarchy, a large amount of graphic information and different artifacts. In this work, pre-processing of breast cancer whole-slide tissue image was carried out, which included normalization of the color distribution and the image area selection. We reduced the operating time of the other algorithms and excluded areas of breast cancer whole-slide tissue with a background to analyze. Also, an algorithm for finding similar neoplastic regions for semi-automatic selection using various image descriptors has been developed and implemented.
Modeling and Forecasting of COVID-19 Confirmed Cases in Indonesia Using ARIMA and Exponential Smoothing

The number of confirmed COVID -19 cases in Indonesia is increasing rapidly.Therefore forecasting of the number of confirmed cases in the future needs to be predicted, so that the government can prepare to handle this pandemic case.The purpose of this study is to provide information on the estimated number of COVID -19 cases in the future in Indonesia.The data used are daily time series data, the number of confirmed cases of COVID-19 from March to August 2020.This study applies two mathematical models, namely: ARIMA and exponential smoothing.Based on ARIMA model, the parameter equations of the ARIMA model (0,2,1), (1,2,0), and (1,2,1) are obtained.The calculation results of Akaike's Information Criterion (AIC) and Schwartsz Bayesian Criterion (SBC), ARIMA (1,2,1) is the most suitable model.The exponential smoothing model, the model with the smallest root mean square error (RMSE) is obtained namely the exponential smoothing model involving trends.The results of the RMSE calculation of the two models, the ARIMA (1,2,1) model is the most suitable forecast the number of COVID -19 cases in Indonesia.
Features of the Transition From the Traditional to the Criterial Assessment in Schools of Kazakhstan

This study discusses the features of the transition from the traditional assessment system to the criteria-based assessment in schools of Kazakhstan. The use of criterion assessment in schools in Kazakhstan contributes to the crowding out of traditional methods of assessment and leads to a new vision of the methods and technologies of the system for evaluating educational achievements. In connection with the modernization of Kazakhstan’s education, significant changes are occurring in the control and assessment activities of Kazakhstan schools, its goals, content, and technologies are changing. The problem of assessment activity is one of the most urgent problems both in pedagogical theory and in pedagogical practice. This study presents the results of empirical studies and the features of the transition to a new criteria-based assessment system for Kazakhstan. According to the results of the study, the problem of the need for professional training of future primary school teachers for the criteria-based assessment system was revealed. Results also showed that there are difficulties of applying criteria-based assessment in the practice of primary school teachers. The question of what professional knowledge, skills, and abilities an elementary school teacher must possess to successfully perform the monitoring and evaluation function was investigated. Particular attention is paid to the study of the influence of criteria-based assessment on learning motivation in primary school.
Optimasi Learning Rate Neural Network Backpropagation Dengan Search Direction Conjugate Gradient Pada Electrocardiogram

This paper develops a Neural network (NN) using conjugate gradient (CG). The modification of this method is in defining the direction of linear search. The conjugate gradient method has several methods to determine the steep size such as the Fletcher-Reeves, Dixon, Polak-Ribere, Hestene Steifel, and Dai-Yuan methods by using discrete electrocardiogram data. Conjugate gradients are used to update learning rates on neural networks by using different steep sizes. While the gradient search direction is used to update the weight on the NN. The results show that using Polak-Ribere get an optimal error, but the direction of the weighting search on NN widens and causes epoch on NN training is getting longer. But Hestene Steifel, and Dai-Yua could not find the gradient search direction so they could not update the weights and cause errors and epochs to infinity.
Tip of the Iceberg, Part 1: Choosing What Shows

In the summer of 2019, Temple University’s main library relocated to a new building, in which most of the 1.3 million-item main stacks collection resides in an automated storage and retrieval system (ASRS), and a small portion in open stacks. The open stacks, or browsing collection, includes highly circulating items, new books, and materials with a particular need for browsing. Highly-circulating items were identified by dividing the total number of loans by the number of years the library had owned the book. Materials with a particular need for browsing, generally those with significant visual components such as art and music scores, were also selected by formula, though a lower number of loans was required in order for the book to be added to the browsing title list. The Collections Analysis Librarian merged the lists of highly circulating items and highly visual items and presented the preliminary title list to Subject Specialists. These librarians then suggested categories of books that they felt should be browseable, such as maps and language dictionaries. Identifying new books was more complicated than expected, as the list needed to exclude certain categories of purchases, such as replacements or continuations, that did not belong in the open stacks. All items destined for browsing were marked with bright green stickers near the call number, which served as an effective way for the staff who packed the books to separate them from those going to the ASRS.