Reviewerly/exHarmony huggingface dataset:
Superpixel Driven Unsupervised Deep Image Super-Resolution

Most of the existing deep learning-based image super-resolution methods require a large number of datasets or ground truth. However, these methods are not suitable for the restoration of real image with different domains. Recently, Deep Image Prior (DIP) based on single-image explores image prior and uses network structure as implicit image prior to recover images, but it ignores the explicit prior information of the actual image itself. The addition of image prior can effectively alleviate the ill-posed problem in the image restoration model. Therefore, in this paper, we propose an unsupervised deep image super-resolution (SR) method that based on segmentation driven. Intuitively, clear image has a clearer segmentation boundary. It will drive deep neural networks to obtain higher performance SR image when forcing the restored image to have clear boundary. In order to make energy flow into DIP better, we use the fully convolutional networks-based superpixel method, and we use back propagation to inject the gradient generated by segmentation entropy energy into DIP to obtain lower energy optimization parameters. Experiments show that the image generated by our method has clearer boundary and better performance than that generated by DIP on Set5, Set14 and BSD100.
Comparing the Effectiveness of Smartphone Applications in the Measurement of Interpupillary Distance

Purpose To determine the accuracy of three smartphone applications in the measurement of interpupillary distance (IPD). Methods This study compared measurements from three smartphone applications to measurements obtained by a single trained examiner using a digital pupilometer in 44 subjects. The mean absolute error (MAE) of IPD prediction by each application was compared. Additionally, the frequency at which each application measured IPD within ± 0.05 mm, ± 0.10 mm, ± 0.25 mm, ± 0.50 mm, ± 0.75 mm, and ± 1.00 mm of the digital pupilometer measurement was determined. Results The Eye Measure (Dotty Digital, Sydney, New South Wales, Australia) and Warby Parker (Warby Parker, New York, New York) applications had significantly lower MAE of IPD measurements (0.511364 mm) compared to the PDCheck AR (EyeQue Corp., Newark, California) application (1.375 mm). The Warby Parker application most frequently obtained accurate IPD measurements within the following ranges: ± 0.05 mm, ± 0.10 mm, ± 0.25 mm, ± 0.50 mm, ± 0.75 mm, and ± 1.00 mm. Conclusion Of the three smartphone applications compared in this study, the Warby Parker application performed to the highest degree of accuracy and may serve as an adequate alternative when conventional IPD measurement methods are either unavailable or unable to be performed accurately.
PRODUCTIVE ACTIVITY OF A TEACHER IN THE EDUCATIONAL ART, MASTERY AND CREATIVITY OF N. V. KUZMINA

The main content of the theoretical research is the analysis of the biography and creativity in the life of the outstanding researcher N. V. Kuzmina. N. V. Kuzmina investigated the problems of pedagogical activity of mastery and creativity in the field of pedagogy, psychology, acmeology of educational activity. She has a number of followers of the scientific school in the Russian Federation, many publications were translated into English, Прикладные исследования, технологии 129 German, Hungarian, Bulgarian. She developed new approaches to the study of the teacher’s skills and creativity: the principles of applying the methods of fundamental sciences in the humanities research of educational processes; methods of systematic pedagogical research. A number of textbooks and monographs were developed and published. The subject of acmeology is defined as a new interdisciplinary science about the factors of achieving the peaks of productivity in creative and educational activities. The article talks about the factors of achievement and fall.
REFLECTION OF CREATIVITY: THE EXPERIENCE OF STUDYING AND DEVELOPMENT

The article substantiates the relevance of studying and developing the creativity reflection, which determines the perspective of the development of creative potential in the process of ontogenesis and which is the “triggering mechanism” of all self-processes of personality and a condition for successful self-realisation of personality in the future. The authors give a working definition of the “reflection of creativity” concept as a meta-ability to realise creative self-processes of personality: self-exploration, self-reconstruction, self-design and self-creation, awareness of creative achievements and individual characteristics of the “Creative Self”. The authors developed a diagnostic programme and a model of creativity reflection. The ascertaining, transforming and control stages of the study were implemented in a group of younger schoolchildren. Based on the results of the ascertaining experiment, the authors developed a transformative experiment, which is a developmental programme. Based on the empirical research, the authors determine the age specificity and dynamics of development, the correlation structure of significant indicators of creativity reflection, the features of the dynamic and contradictory process of formation of creativity reflection that contribute to the development of younger schoolchildren as subjects of creative activity.
TECHNOLOGIES AND MEANS OF DEVELOPING MANAGEMENT COMPETENCE IN UNIVERSITY STUDENTS

The article considers the approaches of modern scientists to the definition of the concept of “competence”, explores the theoretical views of modern researchers on the concept and development of managerial competence. On the basis of the analysis carried out, the article highlights the main technologies and means of developing managerial competence among students. The role of using interactive learning technologies is revealed, among which acmeological technologies play the most important role in the formation and development of managerial competence among students.
The Designed VR Game “Weirdno” on Emotional Regulations and Reality Connections

Visual reality (VR) plays a huge role in mental issue prevention and therapy by providing an immersive experience and distracting patients’ attention from the pain. However, since researchers mainly focus on clinical psychotherapy, VR products are more inclined to formal medical treatment rather than recreational programs. To create a project that is both playable and helpful in improving players' mental health, a game called Weirdno is developed in this article. Weirdno achieves the purpose of making players feel the targeted emotions through the special plot design and immersive experience from the first-person perspective. The fantasy art style and scene design allow players to hover on the edge of reality and virtuality, stimulating a more realistic feel. The open-world mode and interactive design would also increase the playability of the game based on improving players’ emotional management.
DATA PRIVACY IN EDUCATION SECTOR – ISSUES AND MEASURES

AbstractIn the current age of internet, almost all kinds of activities have become online, including teaching and learning, which has become even more prevalent with the advent of pandemic. A lot of data, including personal data, are now gathered and stored digitally. This is equally true for an educational institute where data of young students are stored. Ensuring the privacy of such data is the responsibility of the education institution. Educational sector tops the list of most affected industry in terms of malware attack, and it is equally targeted for ransomware attacks. Data breach is a serious threat in the educational sector, and data breach is likely to lead to the loss of personal data of students since their data are most prevalent in this sector. Data breach will take a sinister look when data breach leads to cyber harassment such as cyberbullying and cyber stalking. However, some precautionary measures would help in combating such attacks. Data breach or theft of personal information of students is not a sole concern of the individual but equal responsibility of the management of educational institutions. In this paper, we tried to assess how grave the situation of data security in educational firms is and what can be the consequences if some measures are not undertaken. The paper then emphasizes on the basic precautions the educational institutes and the young users can take to protect their data. DISCLOSURE STATEMENTNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsVijaya Geeta DharmavaramDr. Vijaya Geeta Dharmavaram has done her M.Sc. in Computer Science, M. Tech. in Information Technology and Ph. D. in the area of Data Mining. She is currently working as Associate Professor in GITAM School of Business, GITAM Deemed to be University, Visakhapatnam and heading the Department of Business Analytics. She has an experience of 20 years in teaching undergraduate and post graduate students and is currently advising doctoral students. Her research interests include Machine Learning, Data Security, Business Analytics and Information Systems.
Analysis of Ethereum Ghost Protocol under Blockchain Framework

This article discusses Ethereum Ghost Protocol, a technology that promises faster mining speeds. The Ghost protocol enables different crypto miners to create valid blocks concurrently. The article explains why the protocol reduces the delay in traditional blockchains through stale or uncle blocks. It explains why the Ghost Protocol is faster than Bitcoin. It also introduces areas in which Ethereum Ghost Protocol can work, such as insecure environments and Internet of Things (IoT). Besides, the paper defines centralization bias and explains how the Ghost Protocol solves the problem. Since the Ghost Protocol is decentralized and stores information in multiple nodes, it is more secure. Besides, it is scalable and saves storage space. Despite these benefits, this paper discusses two significant challenges, including slow transactions and difficulties in coding. However, the Ghost protocol will enhance cryptocurrency due to the ease of mining, enhanced security, and other benefits to miners. Overall, the paper suggests the need to embrace the Ghost protocol in the blockchain.
MODERN INFORMATION ENVIRONMENT AS A MEANS OF DEVELOPING THE INFORMATION SUBCULTURE OF SENIOR PRESCHOOLERS

The analysis of theoretical provisions on subculture development among senior preschoolers revealed the basic concepts of research (information environment, information subculture). It is noted that a modern child develops and grows in an informational, postindustrial society. It is proved that senior preschoolers in the information subculture know and understand the significance and value of information; they are attracted to the world around them - they are inquisitive and active; they are able to select important information from a certain amount of information, as well as process and save; they concentrate their own attention on the most important links in the information chain. The author of the paper determined that the formation of the information subculture of senior preschoolers requires a modern information environment, which provides an understanding of the diversity of the surrounding reality, its connections and interactions
A Multilateral Study of Social Intelligence and Associated Personal Characteristics of a Generation Z Student

The study of the phenomenon of "social intelligence" in foreign and domestic psychology was discovered unexpectedly. In a generalized view, the concept under study is considered as a complex structural formation, including a set of abilities aimed at establishing interpersonal relationships; as a personal formation, regardless of general intelligence and associated with a specific activity. Recently, there has been an opinion about social intelligence as a clear and compatible group of mental abilities associated with the processing of social information, i.e. evaluating the level of adequacy and effectiveness of interaction. It should be noted that a special explanation is required of the relationship of intelligence as a cognitive ability linked to personality traits; intelligence and propensity to adapt to new expectations and events of the wedding, as well as the connection of intelligence, processes of self-regulation and control of the locus.&#x0D; Separately, it is necessary to theoretically and applied comprehend the specific features of the student's generation when designing the conditions for the development of intelligence in the conditions of the educational process of higher education.
Modern Trends in the Development of Professional Activity of a Teacher of Choreographic Education

This article examines the current trends in the development of professional activity of a teacher of choreographic education.&#x0D; The author draws attention to the integration of multimedia and interactive technologies, the inclusion of modern dance styles, the use of an individual approach and an emphasis on social responsibility. The importance of self-study and strengthening ties with the professional community are also discussed.
FACTORS OF THE DEVELOPMENT OF EDUCATIONAL TECHNOLOGY AND MEDIA LITERACY IN A PANDEMIC SITUATION

This study is a form of review study related to the implementation of the use of educational technology, where this technology refers to changes and developments in society. These changes and developments make Indonesian culture also participate in these changes. Moreover, this technology refers to the overall prospect of development by describing certain parts. Like, the field of education that allocates the use of this technology as one type of field that is influenced in addition to economic, cultural or other industrial elements. Especially at the time of the ongoing pandemic like today, which asks the community to be more vigilant and even the government ordered to carry out a distance guarding process. This then gets one element of support from the ministry of education to use technology as an intermediary. Therefore, the main purpose of this study is to find out the form of influence given from the use of educational technology and literacy media in pandemic situations as well as the factors that cause this development. The method used in this study is a form of literature study method by applying elements of qualitative methods from various journals. The results of the study show some of the major influences that occur due to globalization on human resources which refer to several results, namely; (1) Government Regulation as one of the main factors in the development of this element; (2) The efficient use of educational technology in learning so that students are more familiar with audio and visual-based learning. Not just face-to-face as usual which does not provide appropriate methods in other ways that can increase students' knowledge.
Word sense disambiguation: Mathematical modelling of adaptive word embedding technique for word vector

Word embedding is the method of representing ambiguous words into word vectors. The existing methods of word embedding are applicable for homonymous words. Constructing word vector of polysemous words is the challenge. The word vector of polysemous words are made by considering context information. The proposed adaptive word embedding technique is discussed in this article. The adaptive word embedding technique is applicable for both homosemous and polysemous words. While representing ambiguous word into word vector the context information is considered. The adaptive word embedding technique generates dynamic word vector for ambiguous word. The word vector with dimension size 198 is created here. There are 198 features are considered in the discussed model. The countable nouns are used as features in adaptive word embedding.
Data Privacy Implications of Assessment Technology

Abstract This chapter provides a brief overview of the complexity of data types and the development of data regulations that govern both data privacy and data security. In particular, the obligations for such data regulations are discussed, as well as how such obligations are implicated or complicated by the type of assessment technology used. Various risk mitigation steps to avoid liability under such regulations are also noted and include, for example, security measures, encryption, backup and disaster recovery practices, contract terms, cyber liability insurance, and limitations on who has access to regulated data and how much data is shared. While this field is complex and continuously changing, the chapter identifies certain standards and best practices that should be considered to mitigate risks and assist in compliance with the data regulations.
Numerical simulations of musical instruments

The Reflections series takes a look back on historical articles from The Journal of the Acoustical Society of America that have had a significant impact on the science and practice of acoustics.
Providing Personalized Explanations: A Conversational Approach

The increasing applications of AI systems require personalized explanations for their behaviors to various stakeholders since the stakeholders may have various backgrounds. In general, a conversation between explainers and explainees not only allows explainers to obtain the explainees’ background, but also allows explainees to better understand the explanations. In this paper, we propose an approach for an explainer to communicate personalized explanations to an explainee through having consecutive conversations with the explainee. We prove that the conversation terminates due to the explainee’s justification of the initial claim as long as there exists an explanation for the initial claim that the explainee understands and the explainer is aware of.
INDICATORS OF PRODUCTIVITY OF EDUCATION SUBJECTS IN THE SCIENTIFIC ENVIRONMENT OF A UNIVERSITY

The relevance of the research is justified by the fact that it is aimed to identify the level of productivity of education subjects in the professional, educational and scientific environment of a university. The author proves a hypothesis that the productive activity of Теория, стратегии 17 the subjects of education will be effective if one reveals the levels of productive interaction of the teacher with students, giving a possibility to model the success of joint creative activity on the basis of productivity in the educational environment. The indicators of teachers’ behaviour culture and interaction of subjects of education in the classroom are developed and manifest themselves at the average level of productivity according to methods 1 and 2. According to method 3, it was found that two indicators of productive interaction in the scientific environment of a university are developed at the low level, and the remaining indicators are at the average level. Therefore, an important factor ensuring the productivity of the interaction of education subjects is the development of scientific schools in a professional environment.
Topologies Induced by Vertex Set of Graphs

In this paper, subbasis for different topologies on vertex set of a simple graph without isolated vertices is introduced. Some properties of these topologies are investigated. Interior, closure, exterior and boundary of a vertex induced subgraph were defined and some basic properties were studied.
Face gesture recognition module optimization of intelligent security system based on Raspberry Pi

With the rapid development and maturity of the smart industry, smart home security systems are becoming popular. However, problems such as poor optimization under face recognition integration and high latency of smart home gesture recognition control still exist. In this paper, in response to the problems raised above, the more mature CNN algorithm and OT prime tracking algorithm are used for face recognition, and the Euclidean distance is introduced as the adjustable threshold for face recognition, and its recognition response time is 29-30ms; in gesture recognition, the mathematical model of finger angle recognition is used for gesture recognition, based on the Mediapipe open source framework, and in the experiment, its recognition time tends to be 60-100 frames, with an average response time of 61.75ms. These advances in facial and gesture recognition in home security systems provide faster and more accurate recognition, thereby enhancing the owner 's safety measures. The results of this study provide relevant insights into the development of smart home security systems and their implementation in real-world scenarios.
Assessment of depression level based on multi-scale 3D convolution and expression videos

The automatic diagnosis of depression using deep learning has recently shown significant progress, and 3DCNN has been applied to assessing depression levels from videos. There are two problems to be encountered applying 3DCNN, including insufficient data to train the model and an insufficient diversity of features extracted on a single scale. An approach is presented in this paper to address these issues. Firstly, we augmented the raw data by adding noise and applying rotations to increase the amount of the training set. Secondly, we constructed a 3DCNN to extract more diverse features from multiscales. We evaluated our proposed method on the AVEC 2014. Our approach achieved MAE=7.13 and RMSE=9.16, demonstrating its effectiveness in improving the accuracy of depression assessment compared to existing approaches.
Adaptive multi-modal decision fusion for RGB-T tracking

RGB-T tracking aims to capture both position and scale of a specific target, with the guidance of both visible and thermal images. With the popularity of multi-modal sensors, this topic has reached more and more attention, which has great potential on autonomous driving, smart monitoring, etc. Recent methods mainly introduce feature fusion modules to aggregate multi-modality information via feature selection or feature fusion. In this paper, we design an adaptive multi-modal decision fusion strategy for Visible and Thermal (RGB-T) tracking. First, we set correlation filter tracker as our baseline. Then, we calculate the tracking confidence of both modalities via Peak-to-Side Ratio, generating the fusion weights. Finally, the response maps are linearly summed via the fusion weights. Experiments on GTOT validate the proposed fusion strategy can provide superior performance against the competitors, achieving 25.3% MSR and 43.9% MPR.
Fuzzy Inference System for Predicting Type of Delivery: A Valuable Smart Tool for Obstetrics and Gynecology

In obstetrics and gynecology, a fuzzy inference system has emerged as a valuable tool for predicting delivery type in advance by considering various factors, such as the mother's age, baby head measurement, pelvis size, body mass index, blood pressure, general health risk, and gestational diabetes. The system calculates a risk score based on these factors, aiding healthcare providers in making informed decisions about the delivery process and improving outcomes for both mother and baby. By utilizing membership functions and defuzzification techniques, the system ensures that predictions are based on a comprehensive analysis of all relevant factors. In conclusion, this fuzzy inference system is an essential tool for enhancing the quality of maternal and neonatal care, offering recommendations to expecting families while providing physicians with an advisory system. Developed using MATLAB, the system was tested with real data and exhibited high accuracy of 95%, with physician validation confirming a perfect match with their decision-making.