Reviewerly/exHarmony huggingface dataset:
Technologies for the Formation of Personal-Activity Thinking and Self-Organization Skills in Pedagogical Practice

This article is dedicated to representation and embodying of the main idea of «risk-based thinking», as well as to justify the use of integrated system and competency-based approaches in the formation of this concept as a professional competence for students studying in the field of «Technosphere Safety».For this study, we proposed the wording "risk-based thinking".The criteria for developed risk-oriented thinking were identified.The systemic and knowledge-based approaches to the development of higher education programs in the direction of «Technosphere security» were used as a theoretical framework of the study.The organization of studying of problem included three stages.The experiment was run in KNRTU named after A.N. Tupolev.The study concludes that risk thinking is based on understanding and analyzing decision-making processes when operating complex technical methods based on risk-oriented activities.Also, it was established that risk activity is the cognitive activity of a person, which comes down to analyzing and understanding of decision-making processes in the operation of complex technical methods.
Horadam Sequences and Tridiagonal Determinants

We consider a family of particular tridiagonal matrix determinants which can represent the general second-order linear recurrence sequences. These determinants can be changed to symmetric or skew-symmetric tridiagonal determinants. To evaluate the complex factorizations of any Horadam sequence, we evaluate the eigenvalues of some special tridiagonal matrices and their corresponding eigenvectors. We also use these determinant representations to obtain some formulas in these sequences.
Pic2PolyArt: Transforming a photograph into polygon-based geometric art

Geometric art, an artwork that is structured by geometric shapes, was first made popular by the introduction of Cubism paintings by Pablo Picasso and Georges Braque in the early-20th-century. With the recent advancement in digital imaging technology coupled with the rising popularity of social media such as Instagram, automatic geometric abstraction that can automatically transform a photograph into a piece of geometric art starts to gain research attention. Several state-of-the-art works have been proposed. Notably, despite the fact that Cubism artworks by renown artists illustrate the importance of the main subject in a painting to be recognizable and should be given more detailed representation, most of the state-of-the-art abstraction algorithms are not subject-focused. In this paper, we present Pic2PolyArt, a unified subject-focused geometric abstraction framework that can support both triangle-based and polygon-based abstraction. Given an input photograph, our proposed algorithm first identifies the main subject and important features of an image with a combination of saliency, edge, and face detection techniques. It then generates a set of seed points that are used by Delaunay Triangulation and Voronoi Tessellation to generate triangle-based and polygon-based geometric abstraction respectively. Results from qualitative evaluation on benchmark dataset and empirical user studies demonstrate the effectiveness of our proposed abstraction framework in generating pleasant geometric abstraction from photographs and provide insightful knowledge on users preference with regards to the type of polygons and the level of abstraction used to represent the resulting geometric art.
Raising the Interoperability of Cultural Datasets: The Romanian Cultural Heritage Case Study

By means of Digital Libraries, entire archives can be made available to users at a click away; but due to the fact that the representation as accurate and as wide as possible of the events in which Cultural Heritage plays an essential role in understanding the past, the metadata aggregators must use data models that satisfy the demands of information. We present the workflow behind the eCHO Framework, a framework which allows users, on the one hand, to sanitize, normalize and interconnect data represented according to LIDO XML Schema, and on the other hand, to take advantage of the representation of metadata through the event-centric approach of Europeana Data Model. Eventually, it is presented the applicability of the use of this framework in the context of identifying the time periods in which took place the most important events in which the Romanian Cultural Heritage have been involved in, statistics that can be extended to the purpose of identifying the lifestyle of the population.
Legendre Neural Network for Solving Linear Variable Coefficients Delay Differential-Algebraic Equations with Weak Discontinuities

In this paper, we propose a novel Legendre neural network combined with the extreme learning machine algorithm to solve variable coefficients linear delay differential-algebraic equations with weak discontinuities.First, the solution interval is divided into multiple subintervals by weak discontinuity points.Then, Legendre neural network is used to eliminate the hidden layer by expanding the input pattern using Legendre polynomials on each subinterval.Finally, the parameters of the neural network are obtained by training with the extreme learning machine.The numerical examples show that the proposed method can effectively deal with the difficulty of numerical simulation caused by the discontinuities.
An Evaluation Model of Comprehensive Human Resources Quality of Financial Enterprises Based on Deep Neural Network

The comprehensive evaluation of human resources (HR) quality is of greatly significance to improving the economic efficiency of financial enterprises.Based on deep neural network (DNN), this paper mainly proposes an evaluation model of comprehensive HR quality of financial enterprises, which dynamically identifies the HR quality that matches the posts at different layers.Firstly, a reasonable evaluation index system (EIS) was established, including 5 primary indices and 21 secondary indices.The evaluation problem was decomposed into multiple layers and indices.On this basis, an N-index convolutional neural network (CNN), i.e. the N-evaluation model, was established based on the Nevaluation model, which takes the improvement of the comprehensive HR quality into consideration.Finally, experiments were conducted to verify the effectiveness of the proposed model.The research results provide reference for the application of DNN in other evaluation fields.
Redundant Code-based Masking Revisited

Masking schemes are a popular countermeasure against side-channel attacks. To mask bytes, the two classical options are Boolean masking and polynomial masking. The latter lends itself to redundant masking, where leakage emanates from more shares than are strictly necessary to reconstruct, raising the obvious question how well such “redundant” leakage can be exploited by a side-channel adversary. We revisit the recent work by Chabanne et al. (CHES’18) and show that, contrary to their conclusions, said leakage can—in theory—always be exploited. For the Hamming weight scenario in the low-noise regime, we heuristically determine how security degrades in terms of the number of redundant shares for first and second order secure polynomial masking schemes.Furthermore, we leverage a well-established link between linear secret sharing schemes and coding theory to determine when different masking schemes will end up with essentially equivalent leakage profiles. Surprisingly, we conclude that for typical field sizes and security orders, Boolean masking is a special case of polynomial masking. We also identify quasi-Boolean masking schemes as a special class of redundant polynomial masking and point out that the popular “Frobenius-stable” sets of interpolations points typically lead to such quasi-Boolean masking schemes, with subsequent degraded leakage performance.
Mobile media uses and circumstances in which parents offer these devices to children: a cross sectional study in North India

Background: To look into circumstances in which parents offer mobile media to their children in an urban, low-middle income community from North India.Methods: Cross sectional study, enrolled 354 children from 6 months to 12 years coming for a well visit or immunization, at a tertiary care hospital from August 2016 to July 2017. A study questionnaire adopted from zero to eight common sense media nationwide survey 2013, USA used to assess the circumstances in which parents offer mobile media to their children.Results: A total of 354 children were enrolled in the study; 56.5% were male and 43.5% female. All of study population had access to handheld mobile devices (75% to smart phones, and 25% to ordinary mobile phones). The most common reason for offering mobile phone to children in all age groups was to console them while crying (73.7%). Other reasons were making them calm while travelling (42.9%), feeding the child (31.6%), and household chores (22.0%). YouTube was the most frequently used app in all age groups.Conclusions: Reasons for offering mobile media devices by parents to their children seen in this study were actually avoidable. It is the ease of parents and lack of awareness regarding optimal media uses which leads to these circumstances.
Face Detection Using Viola Jones Algorithm

Face detection is one of the most widely researched topics in recent times and is at the helm of the computer vision technology. This paper aims to review and study in detail the implementation of Viola Jones algorithm to detect faces in Realtime. Viola Jones algorithm is reviewed first followed by its main steps which include Haar features, integral image and cascading classifiers.
Teachers' Professional Difficulties in the Course of Implementation of Distance Learning in General Education Organizations

The relevance of the problem is due to the need to systematize the professional problems of the teacher arising from the organization and implementation of the educational process in remote form. In the modern educational space, education along with traditional full-time forms can be carried out through e-learning, distance learning technologies implemented using information and telecommunication networks and resources (Federal Law of December 29, 2012 N 273). Moreover, the quality of education must comply with the requirements described in federal state educational standards. Mandatory conditions for the actualization of the educational process are measures to equip educational organizations with qualified teaching staff, their appropriate material and technical equipment and financial support (Order of the Ministry of Education and Science of Russia dated December 17, 2010). For the high-quality organization of the educational process in remote mode, pedagogical workers must meet the requirements of a professional standard, have a certain level of professional competence, and possess information technologies at a sufficient level (Professional standard, 2013). The article explores the experience of the Volga Region Center for Advanced Training and Professional Retraining the Institute of Psychology and Education of Kazan (Volga region) Federal University. The study was conducted among 318 teachers studying at the Volga Region Center for Advanced Training and Professional Retraining the Institute of Psychology and Education of Kazan (Volga region) Federal University. The conducted study made it possible to generalize and systematize the professional problems of the teacher arising in the organization and actualization of the educational process in the distance form, to reveal the level of readiness of teachers to distance learning, to determine the main directions for solving the problem. The results of the study can be used in the organization and actualization of distance learning, allow us to outline directions for overcoming professional problems and improving the information competence of the teacher. Research methods: theoretical (analysis, synthesis, concretization, generalization, analogy method), diagnostic (questioning, interviewing, testing), empirical (studying the experience of educational organizations, normative and educational documentation, pedagogical observation).
INVESTOR HERD BEHAVIOUR IN AFRICA’S EMERGING AND FRONTIER MARKETS

Daily returns of 224 stocks traded on three distinctively classified markets (stand-alone, frontier, and emerging) within a developing continent context are used, employing the Chang, Chen and Khorana (2000) measure. We provide evidence of the presence of investor herding in Africa's emerging and frontier markets. Evidence of asymmetric herding activities during various market conditions is further provided. The paper also shows that the 2007-2009 global financial crisis did not intensify herding in African markets. The findings suggest that Africa's leading markets are still fairly inefficient, allowing for potential excess returns for investment strategies that seek to explore market anomalies. Keywords: Behavioural finance, Investor behaviour, Herding, African markets, Asymmetric herding.JEL Classifications: G01, G10, G14, G15DOI: https://doi.org/10.32479/ijefi.10709
3-Image Bit-Level Encryption Algorithm Based on 3D Nonequilateral Arnold Transformation and Hyperchaotic System

In this paper, we propose a novel 3-image bit-level encryption algorithm based on 3D nonequilateral Arnold transformation and hyperchaotic system. Firstly, the three plain images with <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>N</mi> <mo>×</mo> <mi>M</mi> </math> are decomposed into 8-bit planes and then they overlap into a 3D bit matrix with size <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>N</mi> <mo>×</mo> <mi>M</mi> <mo>×</mo> <mn>24</mn> </math> . Then, the 3D bit matrix is scrambled by 3D nonequilateral Arnold transformation and the scrambled 3D bit matrix is integrated and transformed into three 2D pixel-level images. Finally, the hyperchaotic system is used to diffuse the three 2D pixel-level images; then three diffused images are rearranged to be one color image, resulting in the encrypted image. Numerical simulations and analyses of the proposed encryption scheme are given to validate the feasibility and safety of the method. The statistical analyses like histogram, correlation, and entropy confirm that the proposed method can effectively resist statistical attacks and security key analysis shows that the key space is large enough to render the brute-force attack ineffective in proposed method. The differential analysis confirms that the proposed method is effective against differential attacks and the results of the experiment confirmed that the method can resist occlusion attack.
Quality Accordingly PISA: from Math Teachers’ Continuing Education to Students’ Mathematical Literacy

The article reveals the problem of education quality improvement, which acquires an important social significance nowadays. The priorities of education quality in Russia are formulated by the President Vladimir Putin who emphasizes that education quality is a system-forming and dominant factor in the social development of the individual, society and state.Analyzing philosophical, social and pedagogical approaches to the notion “quality of education'', it is revealed that this phenomenon determines the conditions and effectiveness of educational process in society. Education, corresponding to the needs of society is considered in the context of a comparative study of PISA general education quality, emphasizing that the results of PISA correlate with the economic and social development of the country. We suggest practical ways to improve the significance of Russian general education system quality in the definition of 15-year-olds mathematical literacy based on the identification of math students’ problems. The levels of mathematical literacy achievements and their special characteristics are given in the table of the indicators.As a practical significance of the research results presented in this paper, is the Program "Formation of practical mathematical literacy of schoolchildren", used in the process of math teachers training and aimed at improving their professional competence to form schoolchildren mathematical literacy.The article represents the training manual ''Life as a mathematical plot'' to master the formation of students mathematical competence in grades 7-8. It is directed to making the transition from abstract mathematical tasks to solving practical social problems.
Evaluation of Digital Competency of Public University Students for Web-Facilitated Learning: The Case of Saudi Arabia

Our public universities in Saudi Arabia have made considerable investments in digital hardware, on-site training, and online tutorials to improve the quality of e-learning. However, there is an observed gap among students between the expected and actual use of digital technology in their learning. To close that gap, this requires a conceptual evaluation model that illustrates technological actions students are involved in, the level of digital proficiency they are in, type of digital technology they use, and kind of support they need. This study used the Digital Competency Profiler to evaluate the digital competency of public university students in Saudi Arabia. Data on 94 students from a public university were collected using an online platform. Multiple procedures were used for instrument validation, data screening, and data analysis. Findings from the study suggest that the majority of public university students had high digital readiness for performing social and informational skills through smartphones. In addition, most of university students missed all skills in the epistemological competency and some technical skills. Finally, implications for practice, limitations for generalization, and directions for future research are presented.
Infodemic amid the COVID-19 pandemic

The unfortunate arrival of the COVID-19 pandemic has also brought along with it a tsunami of information that can be both authentic and important as well as non-reliable and misguiding. The World Health Organization (WHO) coins this outburst of information in this era of pandemic as an infodemic. It becomes essential for societies to consume and act on trusted information in these times of uncertainty and grief. In this article, we describe and assess the role of blockchain technology and its features to establish an environment of a trusted information ecosystem. We present an equivalence mapping of these important parameters to curb an infodemic with blockchain technology features and applications. This equivalence mapping provides a directional sense to stakeholders, decision-makers, policy-makers and investors to gauge and synthesize the potential of blockchain technology for tackling an infodemic.
Mobile Teacher Professional Development (MTPD): Delving into English Teachers’ Beliefs in Indonesia

In recent years, mobile phones have been used for teacher professional development (TPD). However, the potential use of smartphones, a current-generation of mobile phones, to develop teachers’ pedagogical, social, personal, and professional competences remains underexplored. This mixed methods study, examining the potential use of smartphones for TPD by delving into English teachers’ beliefs, employed a sequential explanatory approach. A quantitative survey was completed by 81 participants, followed by qualitative interviews with 8 selected participants. All the respondents were English teachers in elementary, junior, and senior high schools in 11 provinces in Indonesia. The survey was tested for validity and reliability, and analysed using the descriptive statistics method, while the semi-structured interview was analysed using the content analysis method. Almost all teachers had very favourable and favourable beliefs about the use of smartphones for TPD, perceiving that a smartphone could facilitate the enhancement of their pedagogical knowledge, communication skills, positive characters and English proficiency. Very few teachers had unfavourable beliefs, but among those who did, they believed traditional face-to-face TPD was more beneficial and that smartphones would only lead to addiction. This study recommends that smartphones be optimally applied by English teachers for TPD activities and that governments facilitate such implementation by constructing smartphone TPD models and applications.
The Effectiveness of ThingLink in Teaching New Vocabulary to Non-Native Beginners of the Arabic Language

Low proficiency in the Arabic language, specifically in vocabulary learning, has been a long-standing issue for non-native Arabic speakers. Traditional language pedagogy, such as chalk and talk and memorization, continues to be a widely-known cause of low proficiency that affects 21st century students. Thus, this study sought to investigate the effectiveness of using ThingLink, an interactive image annotation tool, as an intervention to teach Arabic vocabulary to beginners of the language at a public university in Malaysia. The study adopted a pre-experimental design, i.e., the pretest-posttest one group design, involving 30 students who were beginners of Arabic. The Vocabulary Knowledge Scale (VKS) and a modified TAM questionnaire were utilized to examine ThingLink’s effectiveness in three aspects, i.e., perceived usefulness, perceived ease of use and students’ vocabulary achievement. The data were analyzed descriptively and with a paired samples t-test. The results showed a statistically significant increase in vocabulary achievement among the subjects, but the effect of the intervention was only moderate at Cohen’s d = 0.42. The subjects rated ThingLink positively on both usefulness and ease of use, although their endorsement of the app’s ease of use was higher than their rating of its usefulness. The subjects’ reactions to ThingLink indicate that it is an effective tool for language teachers and students to use. The results of the study support the use of ThingLink as language learning app capable of meeting the needs and goals of 21st century education.
Development Portable Spirometer using MPXV7002DP Sensor and TFT Display for Lung Disease Detection.

Chronic obstructive pulmonary disease (COPD) is a disease whose prevalence tends to increase annually, with the World Health Organization (WHO) data predicting in 2020 the disease is the cause of the third-highest mortality worldwide. The assessment of the recurrence of COPD patients is very important, as it will accelerate the decline of lung function and health status. The purpose of this research is to design a spirometer by utilizing the MPXV7002DP sensor and equipped with a graphical display as well as lung health status on the Nextion TFT LCD. A portable Spirometer design has been done using the MPXV7002DP pressure sensor out as a transducer with a display on the Nextion TFT LCD. The design aims to determine the health of lung function by knowing the volume of lung Forced Vital Capacity (FVC), Forced Expired Volume in one second (FEV1), and Vital Capacity (VC). The working principle of this tool is to process the pressure from the results of the user blowing to the sensor through a mouthpiece which is designed based on Venturimeter law, the data will be processed by the Arduino microcontroller 2560 to be displayed on the LCD TFT and Nextion stored in SD card memory. The result of module validation data against a Spirometer 3L calibrator Benchmarking tool was obtained 1.58% VC error. The value is still below the 5% error tolerance limit so that the VC parameters in the secure module is used.