Reviewerly/exHarmony huggingface dataset:
Impact of Physical and Social Settings on Parent Engagement in Learning Through Making

Previous research has documented the benefits of making for young learners, but few studies have examined how parents engage in maker activities during family visits to museums, both as facilitators of their children's learning and as makers in their own right.In this study, we asked how caregivers participate in making and tinkering programs, how parents describe the benefits of making (for their children and themselves), and what aspects of the physical and social setting influence parents' engagement.Data included observations of 88 family groups participating in various making and tinkering activities at a science center (including woodworking, fashion design, virtual reality drawing, circuit blocks, etc) and exit interviews with a subset of 66 caregivers.Qualitative data analysis connected observed qualities of the physical and social setting with caregivers' observed and reported engagement.Through this analysis, we identified specific aspects of the physical environment, tools/materials, and facilitation strategies that invited family participation in general and that were associated with specific caregiver roles, including observing children's learning, facilitation of children's learning, and engagement as a maker alongside children.The implications of the findings for the design and facilitation of maker programs are discussed.
ELECTRONIC LEARNING TOOLS WITH GAMIFICATION ELEMENTS

The concept of «game mechanics» is analyzed. A conceptual model of an automated interactive software environment using gamification elements is presented. Destructive strategies generated by various game mechanics are considered. Some ways to deal with destructive strategies are listed. The article describes the experience of using gamification elements in the software environment for teaching students of secondary vocational education to solve physical problems. On the basis of experimental work, the effectiveness of using game mechanics to form a stable internal motivation of students to systematically solve problems is shown. This article may be useful for developers of electronic learning tools
RADIOMETRIC CHARACTERISTICS OF THE RIO DO PEIXE BASIN- BRAZIL

This paper presents the analysis of radiometric data from an aerial survey carried out in the Rio do Peixe Basin, which is a promising oil-producing region in the state of Paraíba, Brazil.The data collected through gamma spectrometer allowed the preparation of counting maps of Uranium, Potassium and Thorium, allowing to evaluate and compare the radiometric concentrations obtained with the geological and land use maps of the region.The radiometric maps of total and ternary counting illuminated the basin lineaments.The potassium, thorium and ternary maps allow to identify the geological formations of Rio Piranhas, Sousa and Antenor Navarro, contributing to the geological knowledge of the region.
An adaptive approach for Human Emotions Recognition System for Neural Networks using Hidden Markov Model and Self Organizing Maps algorithms

In machine learning, recognition of human emotions by a machine is an important research area.It is informal to reason of emotions as a luxury, approximately that is needless for basic intelligent operative, and something that is problematic to encode in a computer program.Then giving expressivecapabilities to machine has been a least priority up till now.But recent studies suggest that emotions play surprisingly dangerous role in balanced and brainybehavior.Too slightfeeling can damagebalancedthoughtful and behaviour.The main impartial of this paper is the identification of emotional states of human beings.Inthis researchthe algorithms to be used are Hidden Markov Model and Self Organizing Maps..
Social and community learning as one of the directions of the educational process management

The directions of education development change in the conditions of VUCA world. It will allow educational institutions to be competitive and improve the quality of their educational services. One of these fields of educational process management is social and community learning.The current article studies the issue of social and community learning as one of the fields of educational process management and the possibilities of its further use in the educational process of preschool, general secondary, out-of-school and postgraduate education. The most important life skills today are actively studying and learning strategies, as well as the skill of leadership and social influence as one of the skills important for specialist, not just the leader. The content of the definitions of «social learning» and «community-learning» and their features is determined.The possibilities of using in the educational process such types of educational and cognitive activity organization as coworking, network-ing, foresight, crowdsourcing, benchmarking, event, etc. are indicated in the context of the study. Examples of practical techniques of Singaporean educational structures are given.It is concluded that community learning is an educational process implemented on the basis of partnership pedagogy, and its effective-ness and efficiency are ensured through cooperation between students, parents and teachers through various projects, informal meetings, conversations, study circles, etc. Social learning is implemented using various platforms and online tool
Case Study of Central Search Federated Search Engine

Federated search carries out as PC software that permits users to access numerous data sources with a single query string situated inside a single interface. The user enters a search query in the entry interface's search box and the search string is shipped off each individual information base or Search engine that is joined into the gateway or federated search list. The gateway proprietor should program this federated search systems either depend upon sellers to make as business portals, or associations to give open access to its part foundation for educational and paper reason.
Sensed-Lexicon based Approach for Identification of Similarity among Punjabi Documents

Textual similarity among documents often leads to copyright issues.Manual measurement of similarity among documents is a time consuming infeasible activity.In this paper, we proposed a technique for measuring similarity at sensedlexicon level for documents written in Punjabi language using Gurumukhi script.50 Punjabi document pairs were manually collected with the help of Punjabi native writers.The proposed technique consisted of major 4 levels.Level 0 consists of data collection phase.Level 1 consists of noise removal and stop word removal sub levels.Extracted tokens were stemmed, lemmatized and synonyms were replaced based on part of speech tagging in level 2. Vector space representation corresponding to each document leads to n-gram generation of documents in level 2. Extracted n-grams were weighted based on term frequency.In level 3, string based token level similarity indexes such as Jaccard Similarity Index (JSI), Cosine Similarity Index (CSI) and Levenshtien Distance Index (LDI) were experimented with weighed tokens.In this work, Human Intelligence Task (HIT) based rating has been utilized for measuring the similarity among documents between 0-100.Results obtained from HIT based rating are compared with results obtained from the proposed technique with various combinations of pre-processing levels.Results revealed that on the basis of majority voting, combination of stop word removal with stemming and 'noun' based synonym replacement leads to the best combination with bi-gram tokens.Statistical analysis indicates strong correlation between CSI and HIT based rating.
The Use of Animated Film Media to Improve the Ability of Writing Short Stories in Elementary School

This research originated from the low skills of grade IV SDN (public school) 1 Sigli students in writing short stories. Learning media to write short stories is an alternative means of delivering material to students through animated film media. This study aims to determine the improvement of short story writing skills using animated film media in fourth grade students of SDN 1 Sigli. This research is a classroom action research (CAR) which was conducted in three cycles. Each cycle consists of four stages, namely planning, implementing, observing, and reflecting. The subjects of this study were 24 students of grade IV SDN 1 Sigli, consisting of 12 female students and 12 male students. The data collection technique was done by using tests, observations, and field notes. The data analysis used was a comparative descriptive analysis technique. The results of data analysis showed that the acquisition of student learning outcomes with an average value in cycle I: 60%, cycle II: 80%, and cycle III: 91%. Thus it can be concluded, the use of animated film media can improve students' short story writing skills, and teachers always improve their skills in using instructional media. This can be seen from the cycles obtained by students in each cycle.
Accountability in the globalised digital age

The purpose of this contribution is to reflect on the challenges that accountability is presented with in the area of online content moderation, with emphasis on practices adopted for the regulation of hate speech online. To do so, the chapter first considers the implications of the shift regarding online content moderation from states to online platforms, in the fast-developing area of digital constitutionalism. The analysis will deal not only with the role of the state in the digital environment but also with that of internet intermediaries-labelled as ‘private superpowers’-in providing more accountable webs of protection for affected individuals and groups in the post-truth era. The discussion of the regulatory ‘exchange’ between the two actors will reveal the difficulties and advantages of this evolving policy area on the level of accountability for digital platform users. The second part of the analysis takes a closer look at how the most common tools of online content moderation pose a challenge to accountability in more specific terms, in order then to explore the current trends in the European legal landscape on the question. Ultimately, the chapter concludes with a consideration of the challenges ahead.
Adaptive Image Steganalysis Adaptive Image Segmentation using Enhanced Canny Edge Detection Algorithm

An expertise method to conceal secret messages in blameless mediums such as videos, audios, texts and digital images by cheating the Human Visual System (HVS) is termed as steganography.Blind Steganalysis is the striking technique to identify, excerpt hidden information from multimedia file with concealed secret information called stego media.To conceal the hidden message, adaptive image steganography determines the exact color adaptive regions or payload locations of the image.Adaptive image steganography's reverse in return is adaptive image steganalysis, in which the secret messages are dig out from the image's color adaptive regions for a familiar or unfamiliar steganographic algorithm that was used for steganography.In the first phase of the adaptive image steganalysis, the adaptive regions of the image are segmented in such a way that the color intensity values of the pixels are compared and grouped to form a region.Enhanced canny edge detection operator outperforms other segmentation algorithms.In the second phase, the statistical features of the pixels are extracted from the spatial domain region using Histogram of Oriented Gradient (HOG) and MatriX Quadtree (MX Quadtree) method.Feature selection from the extracted feature vector subset is done based on distance correlation coefficient method and Markov Random Field (MRF) Cliques method along with a ranking based wrapper approach.In the third phase, classification of images as stego or cover image is done by a binary classifier, Support Vector Machine (SVM).Classification of stego images in the proposed system is done first and then the content extraction of the concealed information from payload locations of the stego images are obtained.This can be achieved by using effective adaptive image segmentation called Enhanced Canny Edge Detection algorithm and feature extraction method.Then, the images are classified by better performing classifier Support Vector Machine as cover or stego images which results in 96.72% of classification accuracy.
DESIGN OF COMPUTER REPAIR SERVICES APPLICATION ANDROID-BASED

Computers are one form of advances in electronic and informatics technology; the function of the computer itself serves as a tool for writing, drawing, editing images or photographs, or as a means of storage. Android, a Linux-based operating system, is a smart operating system that can compete with operating systems on a computer. Some of the problems identified include user difficulties in overcoming computer damage to determine whether to repair or buy a new unit, difficulty in reaching authorized service providers, risks when deciding to repair at a public service place, and limited access to information and costs repairing computer damage. This research specifically designs an Android application-based computer service application that makes it easier for people to get service services. The above research results formulate computer repair services using an Android-based platform with Android Studio and MySQL as the database for this study. This application is expected to be useful for customers in terms of time and cost.
Human Resource Management (HRM) Practices and Employee Job Satisfaction at a Public Corporation in Qatar

Recognizing the importance of human resource management (HRM) practices, and their effects on employee behaviors and attitudes, many studies investigated the correlation between HRM practices and employee job satisfaction. The overall objective of this research is to investigate the impact of HRM practices (training and development and performance management) on employee satisfaction in case of a public corporation in Qatar. In order to meet the objectives of the research, and in order to answer its questions, a survey questionnaire was developed and distributed to a simple random sample of (92) employees, who work for a public corporation in Qatar. The total number of the returned surveys was (78) surveys. This means that the response rate was 84%. Results of data analysis revealed that there is positive and strong correlation between HRM practices and employee job satisfaction. HRM practices explain 22% of employee job satisfaction, while other factors explain 78%. Based on that, it was suggested to develop HRM practices in order to foster employee job satisfaction. It was also suggested to carry future researches to investigate other factors that may drive employee job satisfaction.
The Use of Disability Interactive Media to Improve Beginning Reading for Children with Multiple Disabilities Class III SDLB In SLB Agrowisata Shaleha Panjalu

This research is based on the problem of lack of the ability to read the beginning, the ability to recognize all the letters of the alphabet has not been felt, and has not been able to incorporate letters into syllables and words in children with multiple disabilities. Research aims to improve the ability to read the beginning of children with multiple disabilities with target behavior, namely the ability to read syllables and word reading ability. The subject of this study was a child with a multiple disabilities of class III SDLB in SLB Agrowisata Shaleha Panjalu. The method used is Single Subject Research with A-B-A research design. The processed Data is presented in a simple descriptive statistical form through graphs and percentage values. The results showed a significant increase in the ability to read the beginning of research subjects using Disability Interactive Media with the evidence that the turnover of the mean level value of the behavior of the syllable reading ability the baseline-1 (A1) phase gets an average value of 50%, the intervention phase (B) Gets an average value of 86.8% and the baseline-2 phase (A2) Gets an average value of 78.5%. Then a comparison of the mean level of the second target behavior, i.e. the ability to read word between baseline-1 (A1) Gets an average value of 33%, the intervention phase (B) Gets an average value of 81.37% and the baseline-2 phase (A2) Gets an average value of 75%.
Privacy Preserving Public Auditing for Secure Cloud Storage

Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user. By using Cloud storage, users can access applications, services, software whenever they require over the internet. Users can put their data remotely to cloud storage and get benefit of on-demand services and application from the resources. The cloud must have to ensure data integrity and security of data of user. The issue about cloud storage is integrity and privacy of data of user can arise. To maintain to overkill this issue here, we are giving public auditing process for cloud storage that users can make use of a third-party auditor (TPA) to check the integrity of data. Not only verification of data integrity, the proposed system also supports data dynamics. The work that has been done in this line lacks data dynamics and true public audit ability. The auditing task monitors data modifications, insertions and deletions. The proposed system is capable of supporting public audit ability, data dynamics and Multiple TPA are used for the auditing process.
ORGANIZATION AND MANAGEMENT OF THE INDEPENDENT WORK OF UNIVERSITY STUDENTS

The article examines the main features of various forms and methods of organizing the independent work of university students. The opinion is substantiated that independent work, aimed at mastering the acquired knowledge and skills, allows students to fully understand the nature of the work performed and organize their own activities. In the context of the implementation of distance learning in higher education, the goals and functions of independent work of students have been revised, the role of which in the educational process is significantly increasing. In the course of the study to identify the importance of independent work of university students, results were obtained that allow one to draw some conclusions, for example, active independent work is possible only if there are motivating factors: student involvement in research activities, intensive pedagogy, individualization of tasks and the personality of the teacher.
The Technology of Differentiated Instruction in Text Programming in Elementary School Based on the Website dl.gsu.by

The technology of teaching text-based programming on the basis of the website DL.GSU.BY is described. The main advantages of the technology include: “zero entry threshold”, training adapted to the pupil, many years of practical experience, effectiveness and scalability
Asymmetric Loss Functions for Learning with Noisy Labels

Robust loss functions are essential for training deep neural networks with better generalization power in the presence of noisy labels. Symmetric loss functions are confirmed to be robust to label noise. However, the symmetric condition is overly restrictive. In this work, we propose a new class of loss functions, namely \textit{asymmetric loss functions}, which are robust to learning with noisy labels for various types of noise. We investigate general theoretical properties of asymmetric loss functions, including classification calibration, excess risk bound, and noise tolerance. Meanwhile, we introduce the asymmetry ratio to measure the asymmetry of a loss function. The empirical results show that a higher ratio would provide better noise tolerance. Moreover, we modify several commonly-used loss functions and establish the necessary and sufficient conditions for them to be asymmetric. Experimental results on benchmark datasets demonstrate that asymmetric loss functions can outperform state-of-the-art methods. The code is available at \href{this https URL}{this https URL}
Introduction to the Special Issue on Specification and Design Languages (FDL 2019)

editorial Free Access Share on Introduction to the Special Issue on Specification and Design Languages (FDL 2019) Authors: Alain Girault Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LIGView Profile , Reinhard Von Hanxleden Dept. of Computer Science, Kiel University Dept. of Computer Science, Kiel UniversityView Profile Authors Info & Claims ACM Transactions on Embedded Computing SystemsVolume 20Issue 4July 2021 Article No.: 27pp 1–3https://doi.org/10.1145/3458748Online:29 May 2021Publication History 0citation112DownloadsMetricsTotal Citations0Total Downloads112Last 12 Months112Last 6 weeks9 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF
Reflexive Competence in the Structure of Future Music Teachers’ Training: the Modern Vector of Research

The article presents an analytical and reflexive analysis of the problem of music teachers’ training in the context of educational changes. The peculiarities and specifics of Musical Arts specialists’ training are outlined; priorities in the creation of an educational environment in modern higher education institutions are defined as compared to the near and far-abroad countries. Factors contributing to music teachers’ training increased efficiency and popularity are substantiated. It is established that such a resource is the formation of reflexive competence. The means of forming reflexive competence in future music teachers are visualization, testing (paper- and computer-based), electronic textbooks, videos, multimedia, and stages within which reflexive competence is formed, where the priority is given to a reflective workshop.
Exploring Islamic Discourse Exposure In Tertiary Level Malaysian Esl Learners

Muslims around the globe are multicultural, from different age range, and from multi socioeconomic backgrounds. This highlights the importance of exploring the lingua franca of the multilingual Muslims in communicating Islamic related genres in multiple forms of discourses. Currently, studies exploring how Malaysian multilingual tertiary level students approach Islamic spoken and written discourses, have been insufficiently limited. In relation to this, appropriateness, aptness, unambiguousness of interpretation, and clarity of comprehensibility of English as a second language are pragmatic aspects to be scrutinised in examining multilingual ESL language users. This study aims to analyse tertiary level Malaysian ESL learners’ linguistics and semiotics interpretations of Islamic lectures in English medium. A total of 30 infographic materials developed by tertiary level Malaysian ESL learners were analysed in terms of their language and graphic representations of what they have aurally perceived. These infographic materials correspond to the learners’ understanding of Islamic English lectures discussing on supplication, repentance, the End Time, and matters of the heart. The findings show that in tassawuf (process of realizing ethical and spiritual ideals) related matters, the ESL learners tend to represent their understanding more linguistically rather than visually. This is related to the intangible elements of this subject matter, which limit in signifying the depictions of what is comprehended and interpreted.