Reviewerly/exHarmony huggingface dataset:
Who enters the University of Education?: Implications for the Elementary Teacher Education Curriculum

Purpose: The purposes of this study are to explore what changes appear in the characteristics of students entering the university of elementary education from 2011 to 2020, and to provide implications for the future elementary school teacher training curriculum.&#x0D; Methods: For these purposes, descriptive statistical analysis was conducted on the survey data of freshmen at ‘A’ National University of Education in the Chungbuk area. The survey content included 1) students’ demographic characteristics, 2) family backgrounds, 3) motivation for entering an elementary teacher education and perception of teaching profession, 4) expectations for teacher educators, and 5) their perception on social issues.&#x0D; Results: First, while the ratio of male students was maintained at about 30% or more, the average age, the ratio of re-entry students and those from the metropolitan area keep increasing. Second, the level of parental education and family SES is steadily rising. Third, in terms of motivation for entering teacher education, the ratio of intrinsic motivation considering aptitude and interest was high, and the overall perception of teaching profession was positive. Fourth, as for university professors, responses to expecting academic guidance rather than human ties increased significantly, while interest in political and social issues is continuously declining.&#x0D; Conclusion: Based on the main results, the implications for the future curriculum of elementary teacher education were discussed.
Dynamic Model Tree for Interpretable Data Stream Learning

Data streams are ubiquitous in modern business and society. In practice, data streams may evolve over time and cannot be stored indefinitely. Effective and transparent machine learning on data streams is thus often challenging. Hoeffding Trees have emerged as a state-of-the art for online predictive modelling. They are easy to train and provide meaningful convergence guarantees under a stationary process. Yet, at the same time, Hoeffding Trees often require heuristic and costly extensions to adjust to distributional change, which may considerably impair their interpretability. In this work, we revisit Model Trees for machine learning in evolving data streams. Model Trees are able to maintain more flexible and locally robust representations of the active data concept, making them a natural fit for data stream applications. Our novel framework, called Dynamic Model Tree, satisfies desirable consistency and minimality properties. In experiments with synthetic and real-world tabular streaming data sets, we show that the proposed framework can drastically reduce the number of splits required by existing incremental decision trees. At the same time, our framework often outperforms state-of-the-art models in terms of predictive quality -- especially when concept drift is involved. Dynamic Model Trees are thus a powerful online learning framework that contributes to more lightweight and interpretable machine learning in data streams.
Some specific classes of permutation polynomials over $ {\textbf{F}}_{q^3} $

&lt;abstract&gt;&lt;p&gt;Constructing permutation polynomials is a hot topic in finite fields. Recently, huge kinds of permutation polynomials over $ {\bf F}_{q^2} $ have been studied. In this paper, by using AGW criterion and piecewise method, we construct several classes of permutation polynomials over $ {\bf F}_{q^3} $ of the forms similar to $ (x^{q^2}+x^q+x+\delta)^{\frac{q^{3}-1}{d}+1}+L(x) $, for $ d = 2, 3, 4, 6, $ where $ L(x) $ is a linearized polynomial over $ {\bf F}_{q} $.&lt;/p&gt;&lt;/abstract&gt;
Preface

The worldwide imposed lockdowns forced schools and universities to digitise conventional teaching in a very short time and to convert teaching and learning formats partially or completely to Distance Learning. With 22 double blind peerreviewed articles of researchers reporting on 17 different countries, the editors of this book want to shed light on the effects of Distance Learning in different regions of the world.
Enhancement of Selected Knowledge Management Methods in ITSM

ITSM, namely one of its most essential parts, the Service Desk, is a vital communication platform between users and the service provider. Good IT service management ensures the smooth run of the company operations and provides stable support for its employees in all technical matters. Companies also must not forget the knowledge management part of the ITSM process. Knowledge must be available at the right time to the right people to ensure quality service. There are several tools, methods and techniques used in knowledge management. In this paper, we describe and propose an enhancement of selected tools and processes, namely call ticketing system and on-the-job training, as those are essential parts of the ITSM practice.
A Model-Oriented Approach for Lifting Symmetries in Answer Set Programming

When solving combinatorial problems, pruning symmetric solution candidates from the search space is essential.Most of the existing approaches are instance-specific and focus on the automatic computation of Symmetry Breaking Constraints (SBCs) for each given problem instance.However, the application of such approaches to large-scale instances or advanced problem encodings might be problematic since the computed SBCs are propositional and, therefore, can neither be meaningfully interpreted nor transferred to other instances.As a result, a time-consuming recomputation of SBCs must be done before every invocation of a solver.To overcome these limitations, we introduce a new model-oriented approach for Answer Set Programming that lifts the SBCs of small problem instances into a set of interpretable first-order constraints using a form of machine learning called Inductive Logic Programming.After targeting simple combinatorial problems, we aim to extend our method to be applied also for advanced decision and optimization problems.
Proposed approach to improve facial recognition techniques for occluded faces by Covid-19 mask protection

Wearing protective masks has become commonplace in several countries as a result of the epidemic connected to the Covid-19 virus. Wearing a mask obscures a considerable part of the face, making some facial recognition techniques difficult to complete and obstructing the operation of various identifying systems, such as access control systems. In this paper, we offer an original approach that allows many face recognition systems to continue to identify persons even when wearing protective masks. The proposed approach is mainly based on the prior use of skin detection techniques. We validated our method using the Eigenfaces method by the FEI database, which we supplemented with faces wearing protective masks. The evaluation results of our approach are very satisfactory.
Portuguese journalists training teachers in the new media education landscape during COVID-19

This chapter presents seven lessons learned from the pandemic through the project Media Literacy & Journalism (2017–), implemented by the Portuguese Journalists Union in partnership with the Ministry of Education. Focused on certified face-to-face in-service teacher training (K-12) in media education, supporting and monitoring teachers developing projects in schools and communities, the project follows a mixed-method approach, collecting data through questionnaires, observation, field notes, and interviews. Due to the pandemic, several classes were interrupted, and others adapted, forcing the project to design a rapid response. Results show that teachers’ adaptation to online settings is not an issue, as they are willing to design and implement projects, both as trainees and as co-researchers. Teachers are able to develop media education activities with their pupils, using traditional and/or digital technologies, whether online or offline, and the projects can resist even during a pandemic if they are supported by the school board.
Embedded GPU based autonomous robot use cases

Recent advances in embedded GPU solutions allow the use of these devices for onboard mobile robotics applications. The focus of this paper is on the implementation and validation of navigation tasks for various autonomous mobile robot platforms. These platforms include ground vehicles, aerial vehicles, and mobile manipulators. The main challenge for these implementations was the feasibility of the adopted solutions on embedded platforms with dedicated GPUs. As each of our solutions contains deep neural networks, the existence of an embedded GPU is a must. We evaluated several different boards for our solutions with various experimental setups. The code and datasets for the demos are available on author’s home page.
A Study on the Illustrations of Baby’s Page from Child Life Focusing on Kim Dong-gil’s illustration

According to the currently reviewed Child Life, &lt;Agachagi&gt; for younger children was published from 1930 to 1939. For more than 10 years, the illustrations of Agachagi were drawn by Kim Dong-gil, Lim Hong-eun, and Lim Dong-eun. This article summarized the writings and illustrations of &lt;Agachagi&gt; and attempted to analyze the headings and textual illustrations of &lt;Agachagi&gt; drawn by Kim Dong-gil from 1930 to 1935.&#x0D; As confirmed, Kim Dong-gil was a member of the Korean Society of Jesus and was in charge of writing, painting, and editing the Agachagi from March 1930 to October 1935. In Agachagi, which Kim Dong-gil was in charge of, the story of providing comic-style writing, play, and new knowledge was added, and “Sangtagi” and “Wish of the Month” were irregularly published. The story was mainly composed of traditional fairy tale characters and factual fairy tale characters, and writings and fables with personality traits, adapted fairy tales, dream stories, and religious stories were often added. The song was mainly in the form of a children’s song.&#x0D; Kim Dong-gil’s illustrations are largely divided into headings and body illustrations, and headings were often used in a decorative sense. In the early 1930s, among the textual illustrations, the end of the text mainly served to decorate the remaining space.&#x0D; Kim Dong-gil’s illustrations of the text included awkward characters in the beginning and many illustrations that lacked sophistication in detailed descriptions. As time accumulates, Kim Dong-gil’s illustrations mature and have three characteristics. First, it shows a new perspective with an experimental image, Second, it builds the personal character and atmosphere of the work with light and shade, and Third, it shows modern scenery with perspective. Interestingly, when Kim Dong-gil was in charge of, religious writings are rare in Agachagi and the character rarely appears in illustrations.
Non-rigid registration (computed tomography - ultrasound) of liver using B-splines and free form deformation

Medical image registration is a key enabling technology and a highly challenging task. By iteratively minimising a cost function and optimising transformation parameters, the registration is achieved. In this paper, the semi-automatic non-rigid registration method is utilised to register computed tomography (CT) and ultrasound (US) images of the liver. The global motion is modelled by an affine transformation, while the local motion is described by free form deformation (FFD) based on B-splines. Two different techniques are included for registration refinement of the local deformation: transformation using multi-level B-splines and using gradient orientation information. This work also includes three different types of optimisation strategies: steepest gradient descent, quasi-Newton and Levenberg-Marquardt method. Visual examinations and experimental results on six clinical datasets verify a lower level of registration error and a higher degree of accuracy when the method is employed using Levenberg-Marquardt optimisation while utilising the gradient orientation information for registration refinement.
Variable Selection Based on Profile Forward Selection of Partial Linear Models with Interactive Terms

Due to the rapid development of information technology and data acquisition technology, the model which only considers the linear main effect can not provide accurate prediction results, and the interaction between the predictor and response variables can not be ignored, so the variable selection problem of the model with interaction terms has become an important research topic in the statistical analysis today.In this paper, we discuss the problem of variable selection for a partially linear model with interaction terms using the profile forward selection method under high dimensional data.We propose the two-stage interactive selection algorithm (iPFST) under strong genetic condition and the profile forward selection algorithm (iPFSM) under marginality principle respectively.Theoretically, we use the consistency of profile estimators to prove that profile estimators have uniform convergence rate, and use the screening consistency to prove that iPFST algorithm and iPFSM algorithm can uniformly identify all important linear main effect terms and important interaction effect terms with probability 1.Seven regularization conditions for the theorem are given.Numerical simulation shows the superiority of iPFST and iPFSM in variable selection, and the two algorithms are compared, then iPFST algorithm is better than iPFSM algorithm.Finally, we give detailed technical proof.
Ultra-Low Power and Scalable Programmable Silicon Photonic MEMS

We have experimentally demonstrated feedforward and recirculating FPPGAs with MEMS-tunable elements. The static power of the elements is less than 50 nW, and energy required to change the state of the actuator is 8 pJ.
Azure Cost Management

If cost management is important to you, then it's not enough to just estimate the costs; you also need to be able to manage your spend throughout your cloud journey. Because the cloud is so dynamic in its pricing, you are going to have to manage things to be sure you can stay within your budgets. Or understand as soon as possible when you may have missed the mark. In the previous chapter, we looked at the first part of cost management, which is building a budget. In this chapter, we are going to look at the second part, which is how to manage your costs once you are already migrated.
Supersensitive Optical Phase Measurement Using a Novel Deterministic Multi-Photon Noon State

On demand generated Noon state is used for optical phase measurement with precision which is better than the standard noise limit, depending only on the detectors’ efficiency.
Entangling Distant Atoms using Telecom Wavelengths

We report on the distribution of entanglement between two single-atom quantum memories generated over telecom fibers with lengths up to 33 km and propose realistic improvements for the performance-limiting atomic state coherence time.
The Research on the Application of Artificial Intelligence in Education in China: A Systematic Review

The rapid development of artificial intelligence and other emerging technologies has affected all fields of society. The combination of artificial intelligence and education has also received unprecedented attention. Under the promotion of policies, the application of artificial intelligence in education in China has also been greatly developed. This research follows the literature review research method proposed by Lawrence and Brenda, and reviews the domestic literature on the application of artificial intelligence in education. The main findings are as follows: 1) the typical technologies of the application of artificial intelligence in education include machine learning, knowledge map, natural language processing, robot and intelligent control, etc. At the same time, researchers also pay attention to the combination of artificial intelligence and virtual reality technology, big data, 5G and other emerging technologies; 2) The application of artificial intelligence in education can promote teachers’ precision teaching and students' personalized learning; 3) The application of artificial intelligence in education not only brings benefits to teaching and learning, but also produces some ethical and safety issues.
High-Fidelity Photonic Three-Degree-of-Freedom Hyperparallel Controlled-Phase-Flip Gate

Encoding computing qubits in multiple degrees of freedom (DOFs) of a photonic system allows hyperparallel quantum computation to enlarge channel capacity with less quantum resource, and constructing high-fidelity hyperparallel quantum gates is always recognized as a fundamental prerequisite for hyperparallel quantum computation. Herein, we propose an approach for implementing a high-fidelity photonic hyperparallel controlled-phase-flip (CPF) gate working with polarization, spatial-mode, and frequency DOFs, through utilizing the practical interaction between the single photon and the diamond nitrogen vacancy (NV) center embedded in the cavity. Particularly, the desired output state of the gate without computation errors coming from the practical interaction is obtained, and the robust fidelity is guaranteed in the nearly realistic condition. Meanwhile, the requirement for the experimental realization of the gate is relaxed. In addition, this approach can be generalized to complete the high-fidelity photonic three-DOF hyperparallel CPF N gate and parity-check gate. These interesting features may make the present scheme have potential for applications in the hyperparallel quantum computation.
Creating Ceramic Art Using Indonesian Cultural Elements to Enrich Local Ceramic Craft Culture

Ceramics have spread across various regions in Indonesia. These ceramic products are produced using various techniques and styles. However, not many ceramic producers use Indonesia’s culture to inspire their products. The purpose of this research was to enrich Indonesia’s ceramic variants. The research process involved: (1) local Indonesian culture was reviewed as the basis for ceramic creation; (2) ceramic artwork was created based on Indonesia’s culture; (3) a range of techniques and shapes from certain Indonesian cultural elements were explored and applied; (4) visualizations of the shaping process were created in the campus studio in the Art and Design Department, Faculty of Literature, State University of Malang, using stoneware and earthenware materials processed by manual techniques and machines; the clay was collected from the Southern Malang region, and was mixed with quartz and kaolin; (5) the finishing process was carried out; and (6) the final creation was analyzed. It is expected that this research will add value in enriching Indonesia’s culture, especially in ceramic art.&#x0D; Keywords: artwork exhibition, ceramic art, creative
E-commerce Website With Persuasive Elements

Websites are a form of digital media that is favored because it can reach a wide audience, and the number of users of the internet is constantly increasing. In Indonesia, the number of internet users in 2019 had reached 73.7% of the total population of Indonesia, approximately 196.71 million internet users out of a total of 266.91 million Indonesian people. The website is also used as a medium for electronic transactions (e-commerce websites), to carry out various types of business transactions, in the arena of both goods and services. The purpose of this research was to develop an e-commerce website that was designed using page layouts, text elements, graphic elements, and other elements that can increase the persuasive power of the website. The web development life cycle (WDLC) development model was used, which divides the development stages into five steps, namely: (1) planning; (2) analysis; (3) design and development; (4) testing; and (5) implementation and maintenance. An e-commerce website was produced that comes equipped with persuasive elements. The average score from the assessment by material experts and media experts was 4.71 and 4.70, respectively (both from a scale of 1-5), indicating that the e-commerce website is of high quality.&#x0D; Keywords: website, e-commerce website, persuasive
Improving Students' 4C Skills Using Video Games

To be able to apply the knowledge learned in school in the community, students need not only skills but also knowledge of potential problems and decision-making abilities. Therefore, students need four skills (4C skills) that must be imparted at the beginning of learning and nurtured continuously in order to compete and thrive in an academic environment. Educators have recognized that such goals are important yet challenging. For this reason, it is necessary to use supporting media that can assist in honing students’ critical thinking skills. The proposed media for this study was social video games. The selection of games was based on the flexibility of media that can be accessed ubiquitously and allows for interactions with other players in cyberspace. In this article, we examined several methods that can be applied in social games to improve students’ 4C skills.&#x0D; Keywords: 4C skills, game, media
Biclustering

This chapter describes the biclustering technique (e.g., Govaert & Nadif, 2013; Kasim et al., 2016; Long et al., 2019). In short, biclustering is a method of data matrix clustering applied in two directions (i.e., vertical and horizontal). Figure 7.1 shows a visual representation of biclustering.
A Practical Soil Classification Method (Pscm) Based on Grain Size Distribution and Consistency of Soils for Geotechnical Applications

Classification systems are crucial for description and classification of soils and help to facilitate soil identification, understanding and interpretation of soil materials in worldwide. EN ISO 14688-2:2018 and ASTM D2487-17e1 were employed to develop a soil classification approach based on grain size distribution and consistency of soils which is called Practical Soil Classification Method (PSCM) in this study. The use of this practical method eliminates any ambiguity in communicating the soil characteristics. Practical flow charts were prepared for the classification of soil particles. The method enables to classification of gravel, sand, silt, clay, and organic material. A user-friendly macro was also created in Microsoft Excel using the integrated programming language Visual Basic for Applications (VBA) to facilitate the implementation of this classification method. A triangular diagram was developed in the present study using Excel. In addition to triangular diagram, two charts were considered. According to these contributions, the group name and group symbol of soil mixtures can be easily and practically defined. In this study, a total 55 group symbols and 155 group names were identified based on PSCM.
Hand Sign Language Detection Using Machine Learning

Hearing loss affects millions of people all over the world. This big number highlights the significance of developing a sign language recognition system that converts sign language to text so that it may be understood without the use of a translation. Based on Sign Language, the CNN Algorithm is proposed. Sign Language is a kind of communication in which we use hand movements and gestures to communicate with persons who are mostly deaf and dumb.