Reviewerly/exHarmony huggingface dataset:
The THE EFFECT OF PICTURE AND PICTURE LEARNING MODELS ON THE SKILLS OF WRITING FICTION STORIES IN PRIMARY SCHOOL

The low skill of writing fiction stories at SDN SukasariI is the background of this research. The learning model used by the teacher is less varied, making it difficult for students to develop ideas and ideas in writing fiction stories. The purpose of this study was to determine the effect of the picture and picture learning model on writing fiction skills. In this study, the method used was experimental, with a quasi experimental design. The population used was all fourth grade students of SDN SukasariI, the sample taken in this study was the entire study population (total sampling), namely the fourth grade SDN Sukasari as many as 37 students. For data collection techniques, namely by interview, documentation, test bags. The tests used were pretest and posttest, and data were analyzed using SPSS 16. The data analysis technique used in this research was t-test. The results of the study showed that there was an increase in the results of the pretest and posttest, this is evidenced by the obtained significance value of 0.000. In accordance with the rules of decision making 0.000 &lt;0.05, then Ho is rejected and Ha is accepted. This means that the picture and picture learning model affects the skills of writing fiction stories in fourth grade students of SDN Sukasari.
The historian of the book and book business I. E. Barenbaum (to the 100th anniversary of his birth)

A detailed review of the scientific activities of professor I. Ye. Barenbaum (1921–2006), the most famous representative of the St. Petersburg school of bibliology in the field of the history of books and book business, is given. Particular attention is paid to his contribution to the study of the history of books in the second half of the 19th century. The role of I. Ye. Barenbaum as an innovator and pioneer in the study of the history of the publishing activity of revolutionary democrats is substantiated. The scientific heritage of the scientist is about 400 publications. I. Ye. Barenbaum’s main research activities were the history of the book business of St. Petersburg, the history of revolutionary-democratic book publishing in the 19th century, the history of the reader, and the French book in Russia. The article analyzes the main works devoted to the book business of St. Petersburg. His contribution to the creation of textbooks on the history of the book is shown. The work of I. Ye. Barenbaum on the historiography of the history of the book is considered.
Musical activity in psycho-pedagogical perspective: analysis of works of the beginning of the XXI century

The purpose of the article is to reveal innovative views on the importance of musical activity in the symbiosis of psychological and pedagogical approaches. The methodology consists of the study and analysis of pedagogical, musicological, art history source base, analysis, systematization, and generalization of scientific and methodological sources. The scientific novelty of the work is to study the features of the study of musical activity from a psycho-pedagogical perspective, taking into account the changing socio-cultural environment of the early 21st century. Conclusions. Musical activity in scientific works of the 21st century is studied in the traditional psycho-pedagogical approach but taking into account innovative pedagogical concepts (K. Orff, Z. Kodai, J. Ducklcroze, S. Suzuki) and the introduction of an updated methodology. Among the relevant in the 21st-century methods of teaching music are as follows: alternation of different types of creativity, use of various creative methods, development of unity of motor and musical abilities, improvisation, active musical perception, the combination of collective and individual types of musical activity, participation in artistic and cultural events, communication with artists, the involvement of parents in education.
An Overview - Google File System (GFS) and Hadoop Distributed File System (HDFS)

Each day huge quantity of data is produced by means of text, audio, image, and video format via many sources like social media, YouTube, websites and so on. The most important part is storing this generated data in the file system. To store this intensive data cluster-based storage systems are required. Hadoop Distributed File System (HDFS) and Google File System (GFS) are the two major file system which are used to store the data. This paper gives an overview of GFS and HDFS. Comparison of these file system is also discussed.
Practical Automatic Thumbnail Generation for Short Videos

With the availability of fast internet and convenient imaging devices such as smart phones, videos are becoming increasingly popular and important content on social media platforms recently. They are widely adopted for various purposes including, but not limited to, advertisement, education and entertainment. One important problem in understanding videos is thumbnail generation, which involves selecting one or a few images, typically frames, which are representative of the given video. These thumbnails can then be used not only as a summary display for videos, but also for representing them in downstream content models. Thus, thumbnail selection plays an important role in a user&#x2019;s experience when exploring and consuming videos. Due to the large scale of data, automatic thumbnail generation methods are desired since it is impossible to manually select thumbnails for all videos. In this paper, we propose a practical thumbnail generation method. Our method is designed in a way that will select representative and high-quality frames as thumbnails. Specifically, to capture semantic information of video frames, we leverage the embeddings of video frames generated by a state of the art con-volutional neural network pretrained in a supervised manner on external image data, using them to find representative frames in a semantic space. To efficiently evaluate the quality of each frame, we train a linear model on top of the embeddings to predict quality instead of computing it from raw pixels. We conduct experiments on real videos and show the proposed algorithm is able to generate relevant and engaging thumbnails.
Interactive Learning in decision-support: an application to Fraud Detection

Usually, Machine Learning systems are seen as something fully automatic. Recently, however, interactive systems in which human experts actively contribute towards the learning process have shown improved performance when compared to fully automated ones. This may be so in scenarios of Big Data, scenarios in which the input is a data stream, or when there is concept drift. In this paper, we present a system for supporting auditors in the task of financial fraud detection. The system is interactive in the sense that the auditors can provide feedback regarding the instances of the data they use, or even suggest new variables. This feedback is incorporated into newly trained Machine Learning models which improve over time.
Indoor Localization and Navigation based on Deep Learning using a Monocular Visual System

Now-a-days, computer systems are important for artificial vision systems to analyze the acquired data to realize crucial tasks, such as localization and navigation.For successful navigation, the robot must interpret the acquired data and determine its position to decide how to move through the environment.This paper proposes an indoor mobile robot visuallocalization and navigation approach for autonomous navigation.A convolutional neural network and background modeling are used to locate the system in the environment.Object detection is based on copy-move detection, an image forensic technique, extracting features from the image to identify similar regions.An adaptive threshold is proposed due to the illumination changes.The detected object is classified to evade it using a control deep neural network.A U-Net model is implemented to track the path trajectory.The experiment results were obtained from real data, proving the efficiency of the proposed algorithm.The adaptive threshold solves illumination variation issues for object detection.
The Semantic Role of Core Argument on Batak Toba Language

This study examines the semantic role of the Toba Batak language's core arguments.The theory used is the macro role.This study uses a qualitative method.The data sources are in the form of spoken text and written text in Batak Toba language.The results showed that the semantic role of the core arguments in the Batak Toba language consisted of macro roles and thematic roles.macro roles consist of actor and undergoer, while thematic roles consist of agent, experiencer, effector, recipient, theme, source, and patient.
The Design and Evaluation of A New Smartwatch User Interface

&lt;p class="0abstract"&gt;This paper discusses and presents a new prototype design for a smartwatch user interface. The user interface was designed aiming to adhere to some of the main universal design principles and be a more usable design. The prototype user interface was then compared with a Samsung Gear S3 smartwatch user interface. The comparison was done via an experiment and a series of realistic tasks. The aspects being investigated were task times, errors and subjective user satisfaction. The data collected were statistically analysed. The overall results showed that the prototype user interface fostered faster task times, fewer errors and more user satisfaction.&lt;/p&gt;
Overview of typical vulnerabilities of Web-sites of organizations in 2019-2020

This paper provides information on the main web attacks on the website of any organization. The statistics of web attacks for recent years and the vulnerabilities that allow these web attacks are analyzed. Recommendations are provided for protection against major web attacks and protection of the website as a whole, which must be followed to avoid fatal consequences in the event of an attack by an attacker.
Semantic 3D Indoor Reconstruction with Stereo Camera Imaging

On-the-fly reconstruction of 3D indoor environments has recently become an important research field to provide situational awareness for first responders, like police and defence officers. The protocols do not allow deployment of active sensors (LiDAR, ToF, IR cameras) to prevent the danger of being exposed. Therefore, passive sensors, such as stereo cameras or moving mono sensors, are the only viable options for 3D reconstruction. At present, even the best portable stereo cameras provide an inaccurate estimation of depth images, caused by the small camera baseline. Reconstructing a complete scene from inaccurate depth images becomes then a challenging task. In this paper, we present a real-time ROS-based system for first responders that performs semantic 3D indoor reconstruction based purely on stereo camera imaging. The major components in the ROS system are depth estimation, semantic segmentation, SLAM and 3D point-cloud filtering. First, we improve the semantic segmentation by training the DeepLab V3+ model [9] with a filtered combination of several publicly available semantic segmentation datasets. Second, we propose and experiment with several noise filtering techniques on both depth images and generated point-clouds. Finally, we embed semantic information into the mapping procedure to achieve an accurate 3D floor plan. The obtained semantic reconstruction provides important clues on the inside structure of an unseen building which can be used for navigation.
BAHASA INGGRIS DI MASA PANDEMI: KENDALA PEMBELAJARAN DI SDN AENGDAKE I

: The Covid-19 pandemic that has hit the world requires the education process to be carried out innovatively, including the education process in Indonesia. At the elementary school level, the use of online learning is recommended by using a platform with a simple operating system such as WhatssApp. The application of online learning requires the readiness of various parties, both from schools, office holders, students, and parents. This research was conducted in grade IV of SDN Aengdake I using qualitative research methods (case studies). This study aimed to describe the obstacles or difficulties faced by teachers and students in learning English online at SDN Aengdake I. In general, there were two factors that underlie the obstacles in learning English online at SDN Aengdake I, they were management and technical factors. In terms of management factors, teachers had difficulty using innovative teaching methods, limited teaching time, and many students lack of discipline in learning process. In technical factor, the economic condition of the family affected the success of online teaching and learning. Keywords: Difficulties of online learning, English learning, Grade IV students of SDN Aengdake I
Pharmaceutical Digital Marketing in Mongolia

The study included pharmacists from the Monos chain, Mongolia of pharmacies.A total of 152 pharmacists from 84 pharmacies (75 are in Ulaanbaatar and 9 are from rural areas) participated in the survey, and then its results were calculated.Under the age group of the respondents, 68.4% are between the ages of 20-35, which shows that there is an opportunity to use technology and introduce digital marketing.Comparing the interests of the participants to attend online learning and classroom training, 74.7% are interested in online learning, and 25.3% are interested in classroom education.Appraising the completion of distance learning was undertaken for pharmacists, 81 votes were given for the great and the greatest outcomes of online learning, and 91 votes were given for the great and the greatest consequences of classroom education.The highest percentage (33%) of the types of sales promotions offered by the company was for the 'moil' scoring system, and the highest percentage (41.3%) is for the 'moilbot' platform, respectively.In order to increase the learning activity of pharmacists, we have developed an online learning section on the Moilbot platform using the latest technical and technological advances and training solutions.This will allow not only the pharmacists' attendance but also increase user engagement, return on investment, build potentiality to develop using technology to improve data quality, timing, and the learning process.
Code Switching In EFL Classroom: The Teachers’ Side Views

The aims of this research were to find out the categories and the functions of code switching used by the English teacher of SMK Negeri 1 Makassar. This research employed descriptive qualitative research design. The participant was one of all the English teacher of SMK Negeri 1 Makassar, this participant is taken by using purposive sampling technique. The instruments were observation and audio recording. The results showed that (1) The three category of code switching mentioned by (Appel &amp; Muysken, 2006) are found by the researcher. There are six examples of tag switching category, fourteen examples regarding with inter-sentential as well as there are thirteen examples of intra-sentential code switching found by the researcher in EFL classroom of SMK Negeri 1 Makassar; (2) The four functions mentioned by (Eldridge, 1996) are correct because the researcher found the example of equivalence in the extract one, floor-holding in the extract two, reiteration in the extract three and the last, conflict control in the extract four. It means that the researcher supports the theory of the expert regarding with the functions of code switching in EFL classroom.
Perancangan E-Learning Berbasis Web Pada Universitas Katolik Santo Thomas

The e-learning system is absolutely necessary to anticipate the times with the support of information technology where everything is heading to the digital era, both mechanism and content. In its development, the system must be preceded by analyzing the needs of the user (user needs). In accordance with the systems and software engineering paradigm, the needs of these users are of the highest order, and are the basis for the creation and work of developers. This is all to prevent the failure of the implementation of the Wahono system, (2003). E-learning is one way to help realize the quality of good learning education. To find out how much the ability of students to receive lessons during tutoring. In addition, to unite intellectual and spiritual intelligence, it requires a good teaching and learning process system through a learning medium. By utilizing advances in technology, a tutoring information is built that can be accessed through a website.
TEORIJSKA RAZMATRANJA ELEKTRONSKOG UČENJA U SAVREMENOM OBRAZOVANJU

The scientific and technological revolution has made radical changes in all social and scientific systems, especially in pedagogical science. Technical and digital devices, as well as modern information and communication technology (ICT), have become an integral part of the teaching process and they represent an imperative of contemporary education. As a consequence of the mentioned informatization of the educational process, the idea of an innovative type of learning was created: e-learning which represents a way of acquiring knowledge and skills with the help and through educational and information and communication technology. The paper aims to study and to perform a theoretical analysis of the concept of e-learning in modern education. The paper gives a review of the concept of e-learning, as well as an analysis of the basic types or modalities, advantages and disadvantages of this type of learning. The occurrence of e-learning has enabled the transition from the process of reproduction to the process of building and upgrading the necessary knowledge and skills, thus overcoming the limits of tradicional teaching and realizing the ideas of active and lifelong learning. The student takes a central and key role in teaching, where teaching contents are presented in a creative and interactive way through modern technology and where the student acquires necessary competencies for living and working in modern society. The significance and implications of the conducted theoretical research are reflected in emphasizing the importance of the existence of e-learning modalities in teaching practice, which creates the prerequisites for quality and contemporary education. Elearning represents the future of pedagogical science and it is important to work on further popularization and research of this educational phenomenon.
LECTURA PE ECRAN ŞI APROFUNDAREA SURSELOR: OCAZII DE ÎNVĂŢARE ONLINE PRIN VALORIFICAREA MATERIALELOR PISA

The paper highlights the results of PISA in reading literacy as well as the new computer-based released items published by OECD. Screen reading allows – and challenges for – rapid access towards several texts. In order to get informed and mainly for quality learning it is crucial to identify the source and its quality. In this context, the research question that our study refers to is the following: How do we prepare students to deepen the multiple text and to identify credible information? Our investigation targets a group of 95 students in grades 8 and 9 from four schools located in two big cities, one of them being a technological high school. The students went through one of the reading units in the anthology published by PISA OECD (Galapagos) which requires reading several texts, from different sources, viewed on the screen, in order to answer comprehension questions which focus processes of different complexity. Depending on the difficulties of the students and the problems they have with various issues related to the credibility of the sources, the article indicates solutions to improve learning by the innovation of reading practices in the class. The conclusion of the article shows the need for change in the selection and approach of information texts in order to prepare young people for in-depth reading in a world where learning and documentation take place mainly through the screen.
Analisi Peran Media Pembelajaran Interaktif Berbasis Kahoot Terhadap Motivasi Belajar Siswa Dalam Pembelajaran Daring

The Covid-19 pandemic that has spread throughout the country has made the government decide teaching and learning activities to be carried out boldly (online). Learning makes students bored and eventually lazy to learn. Researchers are trying to create new breakthroughs to increase student learning motivation to increase, namely by utilizing interactive learning media based on kahoot in brave learning. This study uses a literature review method where the data obtained from research comes from articles or journals that are relevant to the topic, or other people's research results are then analyzed again to draw a conclusion. The results of this research kahoot interactive media can be used in bold learning because of its easy use and includes a link or website so that it can be accessed by students. This interactive media also makes students not easily bored in the learning process. Learning that increases in fun can make students' learning motivation, this is because students do not feel bored easily when learning takes place, so students feel motivated and feel comfortable when learning using Kahoot media.
Algorithms for selecting the outlines of objects images in intellectual video surveillance systems

Intensive development of means of receiving and transmitting digital images creates the problem of processing huge amounts of video information flows. There is a wide range of tasks in which images are considered as a source of information on the basis of which it is necessary to make a decision. Important tasks to be solved by intelligent video surveillance systems are: identification of objects and determination of their trajectories; measuring the speed of objects; detection of alarming events in the tasks of object-territorial protection in real time. One of the main operations in intelligent video surveillance systems in image processing for further analysis is the selection of contours of images of objects, because the contour contains all the necessary information to recognize objects by their shape. This approach allows you to not consider the internal points of the image and, thus, significantly reduce the amount of information processed. This makes it possible to analyze images in real time. Contour analysis is a set of methods for selecting, describing and processing image contours that allows you to describe, store, compare and search for objects presented in the form of their external contours, as well as effectively solve the main problems of pattern recognition — transfer, rotate and zoom image of the object. In this case, the contour means a space-length gap, difference or abrupt change in brightness values. The purpose of the publication is to consider the algorithms for selecting the contours of images of objects in the problems of detecting alarming events by intelligent video surveillance systems. The problem of selection of contours of images of objects in problems of detection of disturbing events by intelligent systems of video surveillance is considered. In order to improve the basic characteristics of intelligent video surveillance systems, algorithms for contouring images of objects are proposed to ensure the detection of four types of alarming events: the appearance and presence of the object in the surveillance zone, moving the object in the forbidden direction, leaving the object and overturning the object.