Reviewerly/exHarmony huggingface dataset:
Teaching «Fundamentals of Health» with the application of cloud technologies

The aim of the article is to analyze the results of teaching the subject «Fundamentals of Health» in grades 5-9 in the conditions of distance learning with the application of cloud technologies. The following methods were used for the study: videoconferences, explanations, interviews, surveys, tests for formative and summative assessment, performing practical tasks, works, projects, compiling instructions to tasks, creating educational presentations and videos. The article substantiates the possibility of teaching the subject «Fundamentals of Health» in grades 5-9 using cloud technology and educational platforms in the conditions of distance learning, such as: Google Classroom, Zoom, Meet, Edpuzzle. The results of 5-9-grade students’ academic performance were analyzed and it was found that grades 5, 6, and 9 showed a fairly high level of academic achievement, while for the students of 7th and 8th grades this indicator was quite low. The obtained results are explained by the difference in motivation, experience of blended learning and students’ age psychological peculiarities, parents’ inclusion in the educational process, various types of practical tasks. The prospects for further use of distance education are highlighted in the article. They include application of tried and tested cloud technologies, systematic and comprehensive professional development of teachers; teacher-parent cooperation, preparing guidelines for students’ parents; adapting types of tasks and their content to the conditions of distance and blended learning; launching teachers’ own YouTube channels.
Educational experiment in the structure of blended learning technologies

In the article, based on the material of physics, the significance of an educational experiment in teaching natural sciences is actualized. The data of the analysis of the evolution of an educational experiment in teaching a school course in physics are presented. A decrease in the share of demonstration and laboratory experiments in educational programs has been noted. The conclusion is made about reducing the requirements for teachers to put an educational experiment at the forefront of all teaching of the subject. The data of the conducted micro-research among future physics teachers revealed their unwillingness to build the teaching of the subject on an experimental basis. The reason for the low level of experimental training of students is the formal approach on the part of teachers and regulatory bodies to the setting of demonstration and laboratory experiments. Optimistic judgments were expressed regarding the demonstration experiments, which, without prejudice to the level of teaching physics, can be replaced by corresponding video recordings. The article presents three options for solving the problem of setting up a laboratory experiment in the implementation of distance and blended physics teaching technologies at school and university. The first option involves conducting experiments on simple home-made equipment. According to the second and third options, in the remote learning mode for conducting educational research, students receive instructions and video recordings of the experiments, as well as materials for processing the measurement results. In the second version, experiments are carried out using software and hardware systems. In the third version, traditional measuring instruments are used. The article provides information on access to experimental materials prepared by the authors of the ongoing pedagogical research.
Detecting Anomalies Reliably in Long-term Surveillance Systems

In surveillance systems, detecting anomalous events like emergencies or potentially dangerous incidents by manual labor is an expensive task.To improve this, anomaly detection automatically by computer vision relying on the reconstruction error of an autoencoder (AE) is extensively studied.However, these detection methods are often studied in benchmark datasets with relatively short time duration -a few minutes or hours.This is different from long-term applications where time-induced environmental changes impose an additional influence on the reconstruction error.To reduce this effect, we propose a weighted reconstruction error for anomaly detection in long-term conditions, which separates the foreground from the background and gives them different weights in calculating the error, so that extra attention is paid on human-related regions.Compared with the conventional reconstruction error where each pixel contributes the same, the proposed method increases the anomaly detection rate by more than twice with three kinds of AEs (a variational AE, a memory-guided AE, and a classical AE) running on long-term (three months) thermal datasets, proving the effectiveness of the method.
Application of Unbalanced Data Classification Based on CSD-ELM in English Network Teaching Mode

In order to accurately predict the frame loss phenomenon, this study proposes a continuous frame loss test for CSD-ELM short-range wireless communication. First, the noise and trend direction of CSD-ELM are removed, the preprocessing of the data is completed, then, these data are injected into the BP neural network as a training sample, continuous frame loss tests are performed on the communication data, the results are output, and the calculation formula is obtained. The test results show that the method has higher accuracy, lower false alarm rate, and shorter test time and is suitable for the detection of continuous data frame loss in short-distance wireless communication. Then, this study proposes an integrated WELM algorithm, which combines the features of AdaBoost, which can generate strong classifiers through the integration of weak classifiers, so as to achieve the best performance for imbalanced data classification. The algorithm assigns different methods to update the weights of different types of samples, so as not to violate the skewness of the weight distribution. The sigmoid function uses error calculation technology, which can separately reflect the classification characteristics of the two samples, and improves the antinoise function of the algorithm. Finally, this study introduces how to analyze and design a college network English learning management system that can meet the requirements of “network system and classroom English teaching mode” in the internet environment. It solves the time limitation of existing English classrooms, expands college English courses to be student centered, creates interactive online classroom spaces, realizes English classrooms regardless of time and region, avoids teachers’ duplication of work, improves teachers’ teaching efficiency, and ultimately promotes the improvement of students’ learning efficiency.
SPIROMETRY AND DOPPLEROGRAPHY INDICATORS IN STUDENTS DEPENDING ON THE DEGREE OF ADAPTATION

УДК 612.216.1
The Meaning Of Randai Training In Karang Taruna Batuang Sarumpun

The background of this research is the phenomenon of Karang Taruna Batuang Sarumpun, Batuang Taba Village, Lubuak Bagaluang District, Padang City as the only Youth Organization that has a Minangkabau cultural arts community in which randai training, in which the program management is well managed. This study aims to determine the meaning of randai training in terms of program management aspects, namely: setting goals, determining participants, determining facilitators, determining learning methods, determining and presenting material, implementation, monitoring and evaluation. This type of research is a qualitative research with a case study method. The data sources in this study consisted of research informants, namely the training manager and the randai participants themselves. The data collection techniques used were observation, interviews, and documentation with data analysis used, namely data reduction, data presentation, and drawing conclusions as well as the validity of the data from research conducted with extended participation, persistence of observation, and triangulation. The results showed that: (1) Karang Taruna Batuang Sarumpun Padang carried out randai training activities with the program management running well; (2) The purpose of this randai training activity has been carefully discussed, namely to preserve Minangkabau cultural arts that are carried out and introduced to the younger generation; (3) Determination of training participants selected from every RT in Batuang Taba Village, the participants are at least grade 2 junior high school and the maximum is not limited; (4) The selection of facilitators is chosen from professional trainers who already have experience in training Minangkabau traditional arts; 5 Determination of learning methods in randai training is determined by the facilitators themselves, namely in the form of lecture methods, and practical methods; (6) The determination and presentation of the material from this randai training is left to the randai facilitator himself; (7) The activities are carried out in the secretariat room of the Youth Organization itself, starting at 20.00 WIB until 21.30 WIB every Thursday and Sunday; and (8) The monitoring and evaluation of the randai training is carried out during the randai training activity process, for the evaluation of the participants is carried out when they will appear for the baralek event and competition
Un adespoto sonetto sulla <i>Commedia </i>nel codice Grumelli di Bergamo

The Grumelli manuscript, housed at the Civica Biblioteca in Bergamo (drawer 6.1), is the only witness of the second edition of Alberico da Rosciate’s commentary on the Divine Comedy, and it contains an unsigned sonnet dedicated not to the poet, but oddly enough to the commentator. After providing a more general overview of texts written in honour of Dante or in memory of his work which are to be found within the commentaries themselves, this article offers a transcription of the above-mentioned sonnet, together with a brief analysis aimed at retracing the various intertextual connections and the most common borrowings from Dante.
IMAGE RECONSTRUCTION ON COMPUTED TOMOGRAPHY USING PYTHON PROGRAMMING LANGUAGE

This study aims to create an image reconstruction program using the Python programming language from the synogram of scanning perfume bottles on a computed tomography system simulator. Sinogram data retrieval was obtained from the collection of perfume bottle scanning results. The synogram will then be reconstructed in Python to get the reconstructed image. The test was performed visually and numerically which included reconstruction speed, spatial resolution and signal to noise ratio (SNR). In the research that has been done, using Python an image reconstruction program can be made. This program can be used to reconstruct the results of the scanning process synograms on the Computed Tomography system simulator so that an image is generated. The image quality reconstructed using Python is better than the reconstructed image quality using Matlab. However, judging from the time required for the reconstruction process, the reconstruction process using Python requires a longer time than the reconstruction process using Matlab.
Prediksi Harga Saham Bank Bri Menggunakan Algoritma Linear Regresion Sebagai Strategi Jual Beli Saham

Shares are securities as proof of ownership of investors in a company. Stocks have a volatile nature, this makes stocks difficult to predict. Stock prediction is an effort to estimate the stock price, especially in the Bank Rakyat Indonesia company that will appear in the future, and to increase investors' profit opportunities in making investment decisions. During the COVID-19 pandemic, Bank BRI's shares experienced significant ups and downs in four months, which illustrates the sensitivity of the stock to an event. Therefore, it is important to predict stock prices to reduce the risk accepted by investors. The prediction itself requires time series data. Time series is data that is collected sequentially from time to time. The method used for time series data is Linear Regression because this method can handle time-series data. Based on these problems, stock prediction research will be conducted at the Bank Rakyat Indonesia company using the Linear Regression method. Bank Rakyat Indonesia share price data were obtained from the investing.com website from the period starting on January 1, 2008, to June 1, 2020. The data is processed starting from preprocessing to determine attributes, remove unnecessary attributes, and change the contents of the data type, then process split data to divide the dataset into training and test data. The attributes used in this study are Date and Price and the distribution of the data used is 60:40, 65:35, 70:30, 75:25, and 80:20. The best ratio is at 80:20 which produces train and test accuracy of 0.89 and 0.91, Then each training data and testing data are entered into the linear regression model for prediction. The error results from the predictions were calculated using MAPE and yielded a percentage of 13.751% for training data, 13.773% for test data, and 13.755% for overall data. The MAPE results indicate that the linear regression method can be used to predict the stock price of BRI Bank.
Designing a biometric model of human identification

Мақалада саусақ іздерінің бірегей ерекшеліктерінің орналасуы туралы деректер неғұрлым толық және жалған ақпараттың ең аз мазмұнымен сақталатын бейненің түрленуін әзірлеу және іске асыру қарастырылған. Саусақ іздері бойынша тұлғаны сәйкестендіру жүйесін іске асыру саусақ таңбасын өңдеу және оны басқатаңбалармен салыстырудың барлық кезеңдерін бірыңғай интерфейсте біріктіруге мүмкіндік береді. The article provides for the development and implementation of image modification, in which data about the location of unique features of fingerprints are stored in a more complete and minimal content of false information. The implementation of the fingerprint identification system allows you to combine all the steps of fingerprint processing and comparing it with other characters in a single interface.
Cloud Computing's Use in Medical Science

In recent decades, technology has grown rapidly with advances in science. Doctors can store data on their critical illnesses, complex cases, and sophisticated problems using cloud computing. Since the advent of cloud computing, it has been possible to solve many complex problems very quickly and at a lower cost. Many doctors use cloud computing to solve their problems. The paper discusses how cloud computing technology is used in the medical field, particularly in hospitals where computers are indispensable to better treating diseases.
Problems in Digital Learning for Higher Education Teachers

The changes generated by the current epidemic situation related to COVID-19 are significant in higher education. These changes affected the processes and methods of teaching, as well as affected the communication between teachers and students. As a result of the pandemic, universities ceased the attendance form of teaching and went entirely online through digital communication platforms. The teachers had to start their teaching activity with the students through new platforms, social networks, e-mails, etc., which caused some problems. The main purpose of this paper is to investigate the problems of online learning among teachers in higher education. The main research methods are the method of analysis and synthesis, questionnaire, intuitive and systematic approach. The main research results are shown as clearly formulated problems, faced by teachers from higher education institutions in Bulgaria, during the transition to distance learning. The identified problems are grouped into three main groups – pedagogical, organizational and technological.
Italian Studies and Graffiti, A Complex Relationship

Despite its massive presence in our cities, the accusations of vandalism have caused scholars of Italian language and culture to shy away from the analysis of graffiti. Another factor might also have been a certain traditional elite perspective, to the detriment of ordinariness and of the everyday. In today’s society of widespread control of both physical and virtual spaces through capillary video surveillance and online monitoring which sees the usable spaces for dissent reduced graffiti art still represents an opportunity for free communication. Documenting and studying graffiti means participating in a work of democratization of linguistics, lightening it from the redundant burden of the classics, by the rigid reference to standard Italian compared to popular Italian (intended as a variety of speakers from the lower social classes characterized by poor social prestige), and by a certain purism that translates into fear of those evolutionary dynamics of the language that find representation in graffiti, not by chance creator and diffuser of numerous neologisms and linguistic contact.
A Robust Hand Silhouette Orientation Detection Method for Hand Gesture Recognition

The computer vision approach is most widely used for research related to hand gesture recognition. The detection of the image orientation has been discovered to be one of the keys to determine its success. The degree of freedom for a hand determines the shape and orientation of a gesture, which further causes a problem in the recognition methods. This article proposed evaluating orientation detection for silhouette static hand gestures with different poses and orientations without considering the forearm. The longest chord and ellipse were the two popular methods compared. The angles formed from two wrist points were selected as ground truth data and calculated from the horizontal axis. The performance was analyzed using the error values obtained from the difference in ground truth data angles compared to the method's results. The method has errors closer to zero that were rated better. Moreover, the method was evaluated using 1187 images, divided into four groups based on the forearm presence, and the results showed its effect on orientation detection. It was also discovered that the ellipse method was better than the longest chord. This study's results are used to select hand gesture orientation detection to increase accuracy in the hand gesture recognition process.
Strategi Belajar Bahasa Inggris Pada Era Revolusi Digital 4.0 di Komunitas Duta Bahasa Provinsi Bangka Belitung

Language is one of the crucial components to face industrial revolution 4.0. Mastery in English, as a foreign language, can be beneficial for people. It can give us chance to explain information, to tell the fact, and to express ideas in various communities in the world. Some ways can be implemented in autonomous learning in digital era 4.0. They are extensive reading and improving writing skills. Extensive reading is an approach to learning English by implementing much time to read books in a short time. The second way is improving writing skills. The role of improving writing skills is to boost academic and career achievements. When someone improves his academic and career, he automatically improves his self-esteem in communicating and interacting with others in English.
Learning from Metadata in Repositories

Abstract This chapter describes the various types of experiments that can be done with the vast amount of data, stored in experiment databases. We focus on three types of experiments done with the data stored in OpenML.
Algorithm Recommendation for Data Streams

Abstract This chapter focuses on metalearning approaches that have been applied to data streams. This is an important area, as many real-world data arrive in the form of a stream of observations. We first review some important aspects of the data stream setting, which may involve online learning, non-stationarity, and concept drift.
Document Sentiment Analysis using Python

Sentiment Analysis is a part of artificial intelligence that uses natural language processing (NLP) to analyze the raw data and further extract the user's sentiment. The sentiment analysis can be achieved at three levels: at the document level, sentence level, and aspect level. In this chapter, we will be covering Document Sentiment Analysis, in which we analyze the contents of the document. This chapter gives a practical overview of the field of document sentiment analysis using the rulebased method. The main idea is to show the working of document sentiment analysis. The analysis can be done using the python language. Python language is a high-level language that is used in artificial intelligence and various related fields. Two different libraries have been used to do the analysis. The NLTK library is a free and open-source library used for tokenization, stop words, and lemmatization whereas, the spacy library is used for its displacy visualizer module, which shows the illustrations of the sentences and named entity recognition, highlighting the entities present in the document. The experiment is conducted using the pre-processing methods, and a conclusion is derived with the aid of the result.
Correction: Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function

[This corrects the article DOI: 10.1371/journal.pone.0238058.].
Comparative analysis of gamma-ray spectrometers applied to the study of the Irati Formation, São Paulo State

Radiation has several applications both in science and in the daily life of mankind.This work describes the use of gamma ray spectrometry in the study of samples from the Irati Formation, sedimentary basin of Paraná.The technique allowed to measure the natural radiation emitted by radionuclides belonging to the decay series of 238 U (eU = 226 Ra = 214 Bi) and 232 Th (eTh = 228 Th = 208 Tl) present in the analyzed samples.A comparison of the results obtained was done from readings conducted in three gamma detectors, portable, one solid state (BGO, Bismuth Germanate Oxide) and another the sodium iodide crystal (NaI(Tl) -ORTEC), in addition to a benchtop, also NaI(Tl) crystal (ORTEC).The research aimed identify the best detector to be used in the analysis of rock samples from the formation studied, which has provoked interest for the oil and gas sector.After the measurements, the statistical analysis of the data obtained for the radionuclides analyzed permitted identify significant linear relationships between eU and eTh in the readings obtained for both NaI(Tl) scintillation detectors.Despite them, variable results were found among the gamma-ray spectrometers due to geometric factors, samples size and shape, as well analytical protocol adopted for the samples preparation.Compton effects in the gamma spectra apparently also affected the data acquisition by the NaI(Tl) detectors as also described in this study.