Reviewerly/exHarmony huggingface dataset:
Using Fuzzy Sets to Assess Differences in Online Grooming Conversations with Victims, Decoys, and Law Enforcement

The sexual solicitation of minors online is a known and growing problem. The process by which adults attempt to entice minors into sexual situations both online and offline is called grooming. Online grooming is a complex, non-linear process consisting of six interweaving stages. While the stages of grooming are well-understood in the literature, little work has focused on the interplay and overlap of the grooming stages throughout grooming conversations. Previous researchers have identified key aspects of the grooming process by annotating and analyzing grooming conversations. However, traditional annotation methods are unable to express the fuzzy nature of the grooming process, as annotation per line is generally limited to a single crisp grooming stage. This paper addresses the gap in literature by describing an annotation method by which the complexities and differences in grooming may be coded and examined. Three conversation types from the domain are annotated to demonstrate the applicability of the annotation protocol. The method presented in this paper results in fuzzy sets for each of the grooming stages within each of the three conversation types. In this paper, the fuzzy annotation protocol and protocol considerations are discussed. Following this discussion, six chats (two offender-victim, two offender-decoy, and two offender-Law Enforcement) chats are analyzed using the fuzzy annotation protocol in order to demonstrate the applicability of fuzzy sets for this task.
Mental health of health workers in Brazil after the COVID-19 pandemic: A systematic review study

The work sought, through a systematic review research, to study the production on mental health of health workers in the post covid-19 pandemic. Thus, a review of the narrative was carried out, which is characterized by critical analysis of the bibliographic production of the research topic, considering the period chosen for the study. A total of 987 works were found, 891 were excluded because 96 of which the abstracts were read, 19 were selected for the sample that actually dealt with the mental health of health professionals and only 11 were selected to compose the study because it was about post impacts. pandemic. The results showed that the mental health of health workers has always been a reality due to the precariousness of the system, however, it was aggravated by the health emergency and the sociopolitical and economic context and an ongoing necropolitics in the country.
Applying GMEI-GAN to Generate Meaningful Encrypted Images in Reversible Data Hiding Techniques

With the rapid development of information technology, the transmission of information has become convenient. In order to prevent the leakage of information, information security should be valued. Therefore, the data hiding technique has become a popular solution. The reversible data hiding technique (RDH) in particular uses symmetric encoding and decoding algorithms to embed the data into the cover carrier. Not only can the secret data be transmitted without being detected and retrieved completely, but the cover carrier also can be recovered without distortion. Moreover, the encryption technique can protect the carrier and the hidden data. However, the encrypted carrier is a form of ciphertext, which has a strong probability to attract the attention of potential attackers. Thus, this paper uses the generative adversarial networks (GAN) to generate meaningful encrypted images for RDH. A four-stage network architecture is designed for the experiment, including the hiding network, the encryption/decryption network, the extractor, and the recovery network. In the hiding network, the secret data are embedded into the cover image through residual learning. In the encryption/decryption network, the cover image is encrypted into a meaningful image, called the marked image, through GMEI-GAN, and then the marked image is restored to the decrypted image via the same architecture. In the extractor, 100% of the secret data are extracted through the residual learning framework, same as the hiding network. Lastly, in the recovery network, the cover image is reconstructed with the decrypted image and the retrieved secret data through the convolutional neural network. The experimental results show that using the PSNR/SSIM as the criteria, the stego image reaches 45.09 dB/0.9936 and the marked image achieves 38.57 dB/0.9654. The proposed method not only increases the embedding capacity but also maintains high image quality in the stego images and marked images.
CURRENT TRENDS OF CHANGES IN THE EDUCATIONAL ENVIRONMENT OF GENERAL SECONDARY EDUCATION INSTITUTIONS

The article is devoted to the problem of creating a modern educational environment in Ukrainian schools, in particular, it is substantiated the need to identify and study the main trends in the school educational environment change in order to familiarize teachers and prepare them to design an effective educational environment. The purpose of the article is to identify and characterize the key trends in the educational environment change of general secondary education institution in the context of educational reform in Ukraine and global transformation processes. Theoretical methods were used in the research, such as: analysis of scientific and pedagogical literature, normative-legal documents and reporting documentation of experimental schools; generalization of the research results of changes in the educational environment of schools in Ukraine and the world; synthesis (definition and characterization of the main trends in the school educational environment change). Empirical research, observation and survey methods, have made it possible to identify problems in the educational environment organization of the experimental schools and develop recommendations for their solution. The survey was conducted among school principals, teachers and students of secondary and high school (a total of 57 participants). As a result of the study external and internal factors were identified which influence the changes in the educational environment of Ukrainian schools; the main trends in the school educational environment change were identified and characterized: 1) technological trends in the educational environment change; 2) socio-cultural trends in the school educational environment change; 3) trends in changing approaches to the development of the educational environment of the school; 4) trends in lifelong learning. We consider the perspectives for further research in studying the trends in education change in Ukraine and educational systems development of different countries to be promising in order to identify problems and prospects for creating an effective educational environment to ensure the quality of Ukrainian education.
The Notion of "Research Data": Types and Kinds of Research Data in the Context of Data Management Practice

With the rapid development of the concept of Open Science, the quantitative growth of data obtained during the research, scientific attention to the practice of research data management (research data management) increases, which actualizes the definition of “research data” and identifying types of research data within the practice of their management, justification and coverage of the specifics of such data. The methodological tools of the study are based on the terminological method, the use of which was due to the need to identify relevant interpretations of the concept of “research data”, as well as analysis of repositories for data from various fields of science, indexed by re3data.org., in the general areas presented in the register, namely: descriptions of repositories, including information on the types of data deposited by scientists and data curators. The analysis made it possible to define research data as materials obtained and collected to substantiate the scientific results of research in any field and in any form: numerical, textual, computer code, etc., as well as to identify types of data specific to different branches of science, which, in turn, allowed us to conclude the existing data formats, the most common among both natural and human sciences: text, numerical and graphic formats. As a result of the analysis, it was found that research data can be considered textual, numerical, software, archival, graphic and other objects (files) that serve as the basis of the study and the factual basis for scientific conclusions in a particular field of science. It was found that the type of data directly depends on the nature of the study and the characteristics of the discipline or field of research.
Pembangunan Permainan Mudah Alih Matematik 'Sifir Run' untuk Pembelajaran Topik Darab bagi Murid Sekolah Rendah

Bidang permainan mudah alih pada era ini telah melonjakkan evolusi pendidikan dan juga membangunkan kemahiran kognitif, spatial dan kemahiran motor (skill) serta meningkatkan kemahiran ICT. Pembangunan ICT dan teknologi telah memberi banyak peluang dan ruang untuk diterokai dalam bidang permainan mudah alih. Sifir Run merupakan sebuah aplikasi permainan mudah alih yang bertemakan pembelajaran sifir. Pembangunan aplikasi ini bertujuan untuk meningkatkan kemahiran menghafal sifir dalam kalangan murid sekolah rendah. Objektif projek ini adalah untuk mengenalpasti permasalahan murid dalam operasi darab, mereka bentuk dan membangunkan permainan mudah alih yang bertemakan sifir dan mengkaji kebolehgunaan aplikasi permainan mudah alih tersebut. Pembangunan aplikasi ini dijalankan dengan menggunakan model ADDIE. Terdapat seramai 20 orang responden dipilih oleh pengkaji bagI menjalani fasa penilaian untuk menguji kebolehgunaan aplikasi permainan mudah alih Sifir Run.&#x0D; Development of 'Sifir Run' Mathematical Mobile Game for Learning Multiplication Topics in Primary School Students&#x0D; Abstract: The field of mobile games in this era has accelerated the evolution of education and also developed cognitive, spatial and motor skills (skills) as well as improve ICT skills. The development of ICT and technology has provided many opportunities and spaces to be explored in the field of mobile gaming. Sifir Run is a mobile game application themed on learning ciphers. The development of this application aims to improve the skills of memorizing ciphers among primary school students. The objective of this project is to identify students' problems in multiplication operations, design and develop cipher -themed mobile games and study the usability of such mobile game applications. The development of this application was carried out using the ADDIE model. A total of 20 respondents were selected by the researcher to undergo the evaluation phase to test the usability of the Sifir Run mobile game application.&#x0D; Keywords: Educational Games, Mobile Computer Games, Multiplication.
Practice-oriented Approach to Development of Leadership Competencies of Honors Students: the Project «The Territory of Intellectual and Liberal Inventions»

This article presents the results of the study dedicated to the development of leadership competencies of the students with high academic achievements based on the practice-oriented approach. The authors of the paper reveal the features of the development of leadership competencies of Honors College students based on a practice-oriented approach, present the theoretical justification and description of the project «The Territory of Intellectual and Liberal Inventions», develop the specific character of gamification of the process of development leadership competencies among students of the Honors College. The main methods of this study were a review of theoretical works devoted to leadership and leadership competencies, circumstances of the educational environment of the Honors College, and theory and practice of gamification; a survey of Siberian Federal University Honors students; substantiation, description and creating of the project «The Territory of Intellectual and Liberal Inventions»; a design of a gamification model of student leadership competencies’ development process; a pilot experiment of this model, an analysis of the experiment results. The results of the conducted research reveal that the development of leadership competencies among gifted students based on a practice-oriented approach is actually and widely discussed by the educational community. The use of gamification allows intensifying the passing of the studied process. The materials of this article may be essential and beneficial for the researchers of development of leadership competencies, as well as for comparative studies in the field of teaching gifted students
A Systematic Review on Blockchain in Education: Opportunities and Challenges

This study focuses on blockchain as an emerging technology regarding its use to restructure the systems and advance education upon quality outcomes. What are the benefits of integrating blockchain in education concerning system reformation and advancement in developing better educational processes for all-encompassing learning outcomes? With the recent developments of blockchain applications across multiple domains, the education industry seems to be benefited from this technology to a considerable degree. Transcripts and certificates play a vital role in an individual’s life so it needs to be stored in a tamper-proof and long-term available ledger. In pursuant to addressing the aforestated question, this study brings information regarding what blockchain technology is, how it functions and what its uses are if it comes to integrating with education at different levels. This may include reviewing the conceptual/knowledge bases, research and development studies, and sources that introduce blockchain including its features but with a special highlight on how it has been integrated into the education sector especially in an innovative situations. To this end, this study was designed to provide a systematic review of all the literature focused on decentralized ledger technology. Multiple sources were reviewed following a systematic pattern that allows selection of relevant sources, sorting out information being guided by the research question, and making the final selection of required information that connects with what and how of Blockchain in education. Keywords: Blockchain, Education, Ledgers, Certificate, Decentralized technology
Ontology of Transgressive Social Media

This paper presents the T-Magic formula revealing ontology of social media which has become a transgressive form of media through its ability to build a digital community, sharing digital identity, and building a digital social capital, that prevails over offline human relations, and includes supporters and doubters estimated for their contact establishing function. Social media belongs to the so called culture of participation, and is considered as a versatile social phenomenon building a hybrid digital culture. Mutation seems to be a key characteristic of media in general and social media in particular. The consequences of the mutation change shows pathway to a new ontology of digital communication, that of digital physics with a special focus on digital space and digital time, digital substance and digital energy. Transformation displays a technological turn in digital communication that reveals technological sources of digital energy. Transfiguration unveils the essence of digital substance, that of a social media sapience. Transgression outlines digital space and digital time, and is a means of overcoming real space and time by means of certain text units establishing bridges to connected personal or collective accounts or aggregate archives. The main function of the media text transgressiveness is to raise a so called publicity capital of a media subject initiating or releasing the post.
multimodal analysis on a vocational English book and its effect on students’ English proficiency

The digitization of education is the use of technology as an aspect of the learning system, from the curriculum to the education system, which has a very big influence on innovation. As society and academic demand increase in the modern era, the online learning system (OLS) is encountered by society and academics. The multimodal approach refers to the huge learning competence in English ability as if the method or application is integrated in a digitizing manner. The multimodal approach contains using images, verbal and visual integration with words or text which provides meanings in the mode of communication. The process of analyzing and disclosing the text will give essence to the meaning of a picture message in a printed book will reveal projection, enhancement, concurrence. All of which are discussed based on linguistic analysis to relate the text to the general characteristics of language both verbally and visually. Systemic function Linguistics based on the concept of metafunction has ideational, interpersonal, and textual components linking the internal forms of language and their use in semiotic social contexts will be enacted to the research. The research will use descriptive and qualitative methods.
616. Predicting Misdiagnoses of Infectious Disease in Emergency Department Visits

Abstract Background Diagnostic error leads to delays of care and mistaken therapeutic decisions that can cascade in a downward spiral. Thus, it is important to make accurate diagnostic decisions early on in the clinical care process, such as in the emergency department (ED). Clinical data from the Electronic Health Record (EHR) could identify cases where an initial diagnosis appears unusual in context. This capability could be developed into a quality measure for feedback. To that end, we trained a multiclass machine learning classifier to predict infectious disease diagnoses following an ED visit. Methods To train and evaluate our classifier, we sampled ED visits between December 31, 2016, and December 31, 2019, from Veterans Affairs (VA) Corporate Data Warehouse (CDW). Data elements used for prediction included lab orders and results, medication orders, radiology procedures, and vital signs. A multiclass XGBoost classifier was trained to predict one of five infectious disease classes for each ED visit based on the clinical variables extracted from CDW. Our model was trained on an enriched sample of 916,562 ED visits and evaluated on a non-enriched blind testing set of 356,549 visits. We compared our model against an ensemble of univariate Logistic Regression models as a baseline. Our model was trained to predict for an ED visit one of five infectious disease classes or “No Infection”. Labels were assigned to each ED visit based on ICD-9/10-CM diagnosis codes used elsewhere and other structured EHR data associated with a patient between 24 hours prior to an ED visit and 48 hours after. Results Classifier performance varied across each of the five disease classes (Table 1). The classifier achieved the highest F1 and AUC for UTI, the lowest F1 for Sepsis, and the lowest AUC for URI. We compared the average precision, recall and F1 scores of the multiclass XGBoost with the ensemble of Logistic Regression models (Table 2). XGBoost achieved higher scores in all three metrics. Table 1. Classification performance XGBoost testing set performance in each disease class, visits with no labels, and macro average. The infectious disease classes with the highest score in each metric are shown in bold. Table 2. Baseline comparison Macro average scores for XGBoost and baseline classifiers. Conclusion We trained a model to predict infectious disease diagnoses in the Emergency Department setting. Future work will further explore this technique and combine our supervised classifier with additional signs of medical error such as increased mortality or anomalous treatment patterns in order to study medical misdiagnosis. Disclosures All Authors: No reported disclosures
SECURE MEDICAL IMAGE ENCRYPTION FOR REMOTE VIRTUAL DOCTOR SYSTEM BASED ON H-IOT APPLICATIONS OVER 5G NETWORK: A COMPARISON STUDY

Abstract. Recent years have seen a new amalgamation between Remote virtual doctor systems and healthcare IoT applications which plays a crucial role in enhancing patient’s healthcare life. The Remote VDS connected with smart Healthcare devices through the wireless network to be accessible anytime and anywhere is anticipated to treat rapidly valuable and confidential data such as personal medical images. Therefore, quick medical image encryption is an essential task in healthcare topic. Some medical image encryption research like the Scan methodology proposed for Remote VDS suffers from a long computational time. Then, the patient will confront difficulty on treatment availability in real-time and especially for critical situations. To overcome this problem, in this work, three medical image encryption methods are compared, (1) A Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications, (2) A new chaotic map with dynamic analysis and encryption application on the Internet of Health Things, and (3) Robust medical image encryption based on DNA chaos method. The comparison results have proven that the new chaotic map with a dynamic analysis scheme has high-security analysis and performances with low computational time compared to other methods. That makes it a good candidate for the H-IOT-RVDS environment connecting over 5G technology like a cellular network to enable connectivity between nodes.
The Influence of e-WOM Information Characteristics on Learning Trust and e-WOM Intention Among Online Learning

In this study, the characteristics of e-WOM information within nonface-to-face online learning were derived to reveal its impact on online learning trust among online learners, and whether learning trust affects e-WOM.According to the purpose of this study, a survey was conducted on users who experienced non-face-to-face learning to clarify the research hypothesis, using SPSS 20.1 for reliability analysis and AMOS 21 for the collected final samples.Through the empirical analysis results of the research, it can be confirmed that consensus, vividness, and neutrality are influencing factors inducing e-WOM intention and the efficiency of online learning education promotion among online learning students.An empirical and in-depth analysis of online learning education was possible as an important information channel for users through online learning.Based on this, it is expected that use e-WOM will be a meaningful promotion of through non-face-to-face online education use of all online education institutions.