Reviewerly/exHarmony huggingface dataset:
The mission of modern universities as subjects of the knowledge economy

The aim of the study was to analyze the features of education management in the context of development of the University 3.0 and 4.0. The article identifies the factors that determine the activation of the formation of innovative and entrepreneurial competence of the modern manager of education at the university. In particular, the transformation of universities into a component of the national innovation system in the conditions of globalization changes. The characteristics of the involvement of universities in cooperation in the context of the study of national innovative universities are characterized. In the course of the study, the problems of transformational changes and the missions of universities of foreign countries in the conditions of the development of the knowledge economy were clarified and the ways of their solution were outlined. The new role of universities in the knowledge economy society is presented: innovative development of the country due to the contribution of modern universities to the creation and commercialization of intellectual property; modern universities solve the task of transferring knowledge into intellectual capital by using the resources of globality, openness, dynamism, and a constant influx of active youth; the mission of modern universities is to actively create technologies and technology companies; universities become leaders and centers of creation of new technological industries.
THEORETICAL ANALYSIS OF THE USE OF A STEM PROJECT FOR THE FORMATION OF ENGINEERING COMPETENCE IN THE FUTURE TEACHER OF LABOR TRAINING AND TECHNOLOGY

The article presents the possibility of introducing STEM education in higher education institutions. The general concept of STEM education, which belongs to the advanced innovative educational systems of improving the level of education, in particular the formation of scientific, technological, engineering, mathematical, information and communication competencies, is revealed, the theoretical justification of the relevance of the STEM project for the formation of engineering competence in future teachers of labor training and technology is presented. Engineering competence is knowledge of the basics of technical sciences, practical engineering skills, the desire for engineering activities, professional and value interests, and methods of engineering and pedagogical design.Improvement of the Ukrainian education system is aimed at increasing the competitiveness of future graduates of educational institutions, which is due to by the implementation of the New Ukrainian School (NUS) Concept and driven by the development of scientific and technological progress. The main emphasis is on changing the methodology of education and on developing the ability to see and solve problems that are becoming more complex and global. As teachers are one of the main forces supporting progressive education, they are constantly improving their skills and knowledge.Having carried out a theoretical analysis, we realized that the formation of engineering competencies of future teachers of labor education and technology in higher education institutions is possible with the use of STEM projects. The introduction of STEM projects into the educational process involves mastering knowledge of the basics of engineering, acquiring practical engineering skills, striving for engineering activities, identifying professional and value interests, and techniques for engineering and pedagogical design.&#x0D; Keywords: teacher of labor training and technology; STEM project; STEM education; educational process; higher education institution; engineering competence; New Ukrainian School; creative project.
PEDAGOGICAL CONDITIONS OF TEACHER TRAINING FOR THE DEVELOPMENT OF LITERARY AND CREATIVE POTENTIAL OF PRIMARY SCHOOLCHILDREN

Among the various types of creativity, the literary creativity of primary school children occupies a special place. At the initial stage of development of literary and creative potential, most primary school children need the help of a teacher who will manage the processes of pupils’ creative search and will be able to create a learning environment that will stimulate the development of interest in literary creativity; in the process of organizing creative work, he or she will use a variety of effective methods and techniques and will take into account the individual characteristics, needs, interests and abilities of each pupil.The formation of future primary school teachers’ readiness to develop the literary and creative potential of junior pupils takes place in the process of their professional and pedagogical training.Based on the analysis of scientific sources and the results of the experimental study, the pedagogical conditions for the effective preparation of future primary school teachers for the development of the literary and creative potential of primary schoolchildren are determined, namely: mastering theoretical knowledge of literature and methods of teaching literary reading; creating a creative, personally oriented educational environment on the basis of subject-subject interaction between the teacher and the student, which involves active cooperation and interaction between the teacher and the student on the basis of mutual respect, trust and openness; implementation of varied curricula and courses that promote the use of innovative approaches to teaching literature and developing pupils’ creative abilities; motivation of future teachers to develop pupils’ literary and creative abilities, who play a key role in the formation and development of children’s creative potential; intensification of students’ reflective activity on their own literary and creative abilities and the possibilities of developing the literary and creative abilities of primary schoolchildren in the process of educational activity.&#x0D; Keywords: primary school teacher; primary schoolchildren; literary and creative potential; professional training of future teachers; formation of future teachers’ readiness; pedagogical conditions; creative educational environment; literary creativity; methods and techniques; stimulation; innovative technologies.
Wind turbine blade’s surface shape reconstruction based on OFDR and multi-core optical fiber

In this paper, a wind turbine blade surface shape monitoring system based on Optical Frequency Domain Reflection technology (OFDR) and Multi-Core Optical Fiber (MCOF) shape sensing is designed, and theoretical simulation and analysis are conducted on it. Firstly, a blade model with the airfoil of NACA-4412 is built based on Glauert vortex theory. Secondly, Finite Element Analysis (FEA) is used to calculate the blade’s deformation under aerodynamic forces. Then, the Rotation Minimizing Frame (RMF) is used to calculate the theoretical strain results of the outer cores. Finally, the shape of MCOF is computed using the strain results according to Parallel Transport Frames (PTF) and is compared with FEA results. The shape of MCOF reflected the shape of the blade surface under aerodynamic forces. This paper theoretically verifies the feasibility of reconstructing the blade’s surface shape using OFDR distributed strain measurement and MCOF.
Research on Image Encryption Method based on the Chaotic Iteration of a Ternary Nonlinear Function

Objective: Considering that some image encryption algorithms have the disadvantages of complex structure and high computational cost, and there are not many commonly used chaotic systems, which are easy to crack by attacks, to solve these problems, this paper proposes an image encryption algorithm based on three-dimensional nonlinear functions to solve these problems. Methods: The algorithm mainly combines the sinusoidal chaotic map with the ternary nonlinear function system to encrypt the image. Firstly, multiple ternary nonlinear function chaotic systems are designed. Then, the function iteration system is changed to invoke the computation of a specific expression under a random number; it is a chaotic sequence generated according to a chaotic mapping such as sine, and then the value of this chaotic sequence is used to select a ternary nonlinear function for iteration to obtain a chaotic sequence. Finally, the chaotic sequence performs the XOR and scrambling operations on the grey image Results: The algorithm has a simple structure, a better encryption effect, and more incredible difficulty deciphering. Moreover, through the phase diagram and bifurcation diagram, it can be seen that the system has good chaotic characteristics Conclusion: The method in this paper is novel; this method is a random variable order composite operation, which can not only be applied to image encryption but also can be used for fractal map generation and so on, and in some other chaotic fields will have a wide range of applications. It has essential research value.
3D geological modeling of ore zones in the Sedefche deposit, Bulgaria

In this study, several geostatistical tools have been employed for the spatial analysis and prediction of the ore body contents in the Sedefche deposit, which is located in the easternmost part of the Zvezdel-Pcheloyad ore field. To test the conditions of stationary and to define a domain reflecting this stationarity, the following approach was applied: modeling of the ore bodies (Wireframe modeling); analysis of domain boundaries, and estimation (Variogram models). The resulted three-dimensional model illustrates the spatial characteristics of Au content distribution and the morphology of the ore body within the Sedefche deposit.
Studi Etnomatematika: Bangun Datar Pada Artefak Batu Kubur Di Sumba Timur

This study aims to determine the mathematical concepts contained in the new grave artifacts in East Sumba. The research method used in this study is qualitative with an ethnographic approach. This research phase begins with data collection, data reduction, data presentation and drawing conclusions or verification. Data collection techniques in this study were literature study, observation, interviews and documentation. The main instrument in this study was the researcher himself and the tools used were observation instruments, interview instruments and documentation instruments. The results of the study show that in East Sumba there are artifacts, namely tombstones. The mathematical concept applied to the gravestone artifacts in East Sumba is the concept of a flat shape. The concept of flat shapes that are applied are triangles, squares, rectangles, trapezoids, rhombuses and circles.
Yappari - a free software package for multiple datasets analysis in impedance spectroscopy

Electrochemical Impedance spectroscopy (EIS) is a well-established technique analyzing the response of a system to an oscillating excitation, usually a sinusoidal voltage. If the system satisfies conditions of causality, linearity and stability, its response to this excitation can provide information about its characteristics. Concerning EIS analysis there are some recent developments that need to be emphasized. One of them is the development of the calculation of distribution of relaxation times (DRT) and another is the ability to measure faster. These important advances, particularly the last, require the possibility to analyze multiple datasets. By multiple I understand thousands of datasets, sharing the same electrical model circuit. The program described here does both DRT analysis and nonlinear least squares optimization on multiple datasets.
Deep Neural Network-based Multi-Object Tracker in Complex Events

Deep learning has been shown to be efficient for multiple object tracking, despite the challenges of frequently occurring occlusions, uncertain appearances, objects in as well as out, and insufficient labeled data. Detecting and tracking objects is one of the most common and difficult jobs that surveillance systems must undertake in order to recognize important events and suspicious conduct, as well as automatically remark and extract video information. The progress of convolutional neural networks (CNN) changes the way objects are tracked. CNN layers trained upon a significant amount of videos or image sequences improve object tracking accuracy in shorter time periods. This study analyses and compares the network model and tracking techniques with its performance measures.
Are digital natives ready to work in a digitally transformed work environment? University students' perspective

Objectives The digital transformation is radically changing and will continue to change the work environment and culture. Solutions such as artificial intelligence, machine learning, big data and data analytics, cloud computing, conversational systems, robotics as well as virtual and augmented reality have revolutionized the way we work and the needs and requirements of employees. Completely new goals for work, tasks, and workspace emerge, as well as new challenges to organization, qualifications, employment, and leadership. There are also numerous threats related to the protection of personal data, digital identity management, and cybersecurity, but also in the area of physical and mental health protection against threats resulting from the use of information and communication technologies (ICT). How do “digital natives” deal with these challenges? The study analyses how students perceive the place of digital competencies in the context of the competencies of the future and how they evaluate their own digital competencies. Material and methods The authors conducted a questionnaire survey among students (n = 755) of various faculties, forms of study, and with various professional experience. Results As the results show, students see the importance of digital competencies, but they rate their own competencies relatively low in this area. Conclusions Based on the results of the research, recommendations were formulated regarding the shaping of digital competencies among students at universities.
Two-level cascade model for tracking pedestrians using thermal infrared video information

Thermal infrared pedestrian tracking is a challenging task due to factors such as energy attenuation, sensor noise, occlusion, and complex backgrounds. In this paper, we design a two-level cascade model that tracks pedestrians in a thermal infrared video by the coarse-to-fine strategy to improve the tracking accuracy and success rate. The base tracker in the first level of our model is initialized and fine-tuned to get the first representation of a target which is then used to locate the target roughly. Aiming at finely locating a target, the second level consists of modality-specific part correlation filters that can capture patterns of thermal infrared pedestrians. The outputs of part correlation filters are aggregated together by normalized joint confidence that can effectively suppress low confidence predictions to make a final decision. We adaptively update each part filter by a weighted learning rate and accurately estimate pedestrian scale by a scale filter to improve tracking performance. The experimental results on the PTB-TIR benchmark show that the proposed cascade tracker further emphasizes crucial thermal infrared features. Thus it can effectively relieve the problem of object occlusion. Our experimental results show the superiority of the proposed tracker over the state-of-the-art trackers, including SRDCF, GFS-DCF, MCFTS, HDT, HCF, MLSSNet, HSSNet, SiamFC_tir, SVM, and L1APG.
Review of Augmented Reality Glasses that Benefits those who have Impaired Eyesight

With the ability to improve their perspective of the environment and give useful information and support, augmented reality (AR) has the ability to be extremely helpful for people with disabilities. It is an interactive experience that uses perceptual data produced by computers to enrich the actual environment. Augmented reality uses software, applications, and hardware like AR glasses to superimpose digital material on actual settings and objects. This study article explains how augmented reality benefits persons who are blind or visually impaired, as well as the tools and materials that are utilised for them. This study also discusses a few technologies that will be combined with augmented reality to reach higher levels in the future.
Digital Transformation in Education: Leveraging informatics for Innovative Learning Solutions

&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The Covid-19 pandemic has accelerated the adoption of information and communication technology (ICT) across primary, secondary and higher education levels in India. This article examines the relationship between assistant professors' innovative learning and digital transformation in education. The study uses Google Forms to collect survey data from 210 college professors using convenience sampling, ensuring representation across gender, educational levels, and years of experience. The findings reveal significant variations in respondents' perceptions of Digital Transformation, Service Quality and Digital Competence based on their educational levels. Post hoc tests further elucidate the nuanced differences among educational levels and years of experience. The analysis reveals the pivotal role of digital transformation in shaping perceptions and experiences in higher education. This research contributes valuable insights into the evolving landscape of digital education, shedding light on the dynamic interplay between educational levels, experiences, and key variables in the realm of digital transformation.
A colour correction method for improperly exposed images

Digital images are widely used in daily life and scientific researches, however, due to some uncertain reasons in imaging capture devices the improperly exposure may occur during the operation which can significantly reduce image quality and could terribly destroy the visual sensations or following processing. In order to correct such improperly exposed images, GretagMacbeth Colour Checker DC was used in this study, and via multi-exposure technology we measured the colour features of the multi-level dynamic range of the camera, and then a polynomial model was adopted to set up a 3D colour mapping relationship corresponding to a reference image which can be used as a basis for an image colour correction algorithm. To evaluate the differences between corrected and reference images, the S-CIELAB image difference model was applied that took spatial characters of human visual system into account. Experiment results show that the proposed colour correction method could achieve 2.0~5.5 S-CIELAB units corresponding to reference images. For the purpose of proving the result is acceptable, A visual experiment was designed using the psychophysical method of constant stimuli, and its results showed that the discrimination threshold for visually distinguishing on image differences are around 4.4 S-CIELAB units. This means that the correction method of this study could successfully correct such improperly exposed images to visually nice ones under or around the visual discrimination level.
Online Adaptive Asset Tracking Algorithm with Ordinal Information

In recent years, an increasing number of researchers have applied machine learning techniques to online portfolio selection (OLPS), aiming to improve the efficiency and effectiveness of portfolio management in the digital field. In this study, we design and implement a novel OLPS algorithm called “online adaptive asset tracking algorithm” (OAAT). Compared to the peak price tracking (PPT) algorithm, it complements more historical information of assets in the investment portfolio and provides a more effective solution for parameter selection of the PPT algorithm. Firstly, the OAAT algorithm updates investment proportions by tracking the historical information of assets, which includes recent peak prices, historical returns, and historical volatility. Secondly, the OAAT algorithm optimizes parameters through online learning. The initial parameters are selected based on the minimum sum principle of the ordinal information. After each phase of trading, the parameters are optimized through the gradient descent algorithm, and the average values of the optimal parameters in the last 5 days are used as the parameters of the next phase. Finally, with the optimized parameters and the tracked asset information, the fast error backpropagation algorithm outputs the investment ratio through gradient projection. Compared with the benchmarks, follow-the-winner, follow-the-loser, and pattern-matching-based algorithms under four Hong Kong stock index constituents data sets and three US stock index constituents data sets, the empirical comparative analysis and statistical test show that the OAAT algorithm can effectively determine the investment proportion to balance return and risk. Received: 29 August 2023 | Revised: 17 November 2023 | Accepted: 29 November 2023 Conflicts of Interest The authors declare that they have no conflicts of interest to this work.
Lexical Categories in Distributed Morphology

Abstract Distributed Morphology (DM) accounts for native speakers’ knowledge about the word classes of their language using categorially underspecified roots that get categorized in syntactic contexts. This chapter discusses arguments that have been given for roots without category, and presents a new one. The DM view on lexical categories raises questions about the locus of categorial information. If the categorial information is not located in the roots, then where does it come from? This leads to a discussion of the position of derivational affixes for which different proposals are on offer. The chapter focuses on a phonological restriction on word-class membership in Dutch which allows native speakers to judge whether a particular form in isolation is a verb or a noun. The theory offers enough room to accommodate such facts.
STUDENTS’ EXPERIENCES OF USING WHATSAPP VOICE NOTE IN ENGLISH SPEAKING LEARNING

The government has implemented hybrid or blended learning, which combines face-to-face and online learning. IAIN Langsa has adopted this hybrid learning approach by utilizing various media tools in the learning process. One widely used media tool in hybrid learning is the WhatsApp Voice Note application. In this perspective, online learning media becomes an important aspect to be evaluated, with WhatsApp Voice Note as the focal media for online learning. This study aims to explore students' experiences in using WhatsApp Voice Note for learning speaking. The subjects of this study consisted of 12 English education students. A qualitative research method with a phenomenological approach is employed to achieve the research objectives. Three data collection instruments are utilized: questionnaires, semi-structured interviews, and documentation. The questionnaire employs an 8-item Likert scale, while the semi-structured interviews comprise 14 questions. Based on the data analysis, it can be concluded that almost all eighth-semester English education students at IAIN Langsa have provided positive feedback regarding WhatsApp Voice Note as an online learning medium that helps improve their English speaking skills and supports their learning process both on and off-campus.
The Influence of Macroeconomic Factors and Corruption on Human Development in ASEAN-7

Various economic and non-economic factors can influence the quality of human development. Therefore, this study aims to examine the effect of economic growth, inflation, and unemployment as economic variables and corruption as non-economic variable on human development in ASEAN 7 countries from 2012