Reviewerly/exHarmony huggingface dataset:
Use of information and communication technologies in mathematics education lecturers: Implications for preservice teachers

The availability and use of educational resources in classrooms has increased remarkably; however, preservice teachers graduate from initial teacher education institutions (ITEIs) and join the profession without the skills for teaching in these new learning environments. This qualitative study was conducted in four South African public ITEIs. It is aimed at examining mathematics lecturers’ integration of information and communication technologies (ICTs) into teaching and its implications for preservice teachers’ readiness to teach in contemporary classrooms. Individual interviews were conducted with 12 mathematics education lecturers and 20 fourth-year students in five focus groups. The findings revealed that whilst the lecturers had some knowledge of how to teach with digital technologies in lecture rooms, they did not model specialised mathematics teaching skills to their students. Informed by activity theory, this study identified institutional gaps in the implementation of digital technologies for teaching. Institutions seemed to view access to technology as sufficient for effective use by lecturers. Initial teacher education institutions should therefore establish and regulate structures that equip and support lecturers with desired ICT pedagogical skills if preservice teachers are to be prepared for the modern classrooms.Transdisciplinarity Contribution: This research contributes to literature on the use of ICTs in Initial Teacher Education. Although it focuses on Mathematics Education, its findings demonstrate the importance of Professional Development if the Scholarship of Teaching and Learning (SoTL) of lecturers in these institutions will adequately prepare preservice teachers for the modern classroom.
Greedy Texts Similarity Mapping

The documents similarity metric is a substantial tool applied in areas such as determining topic in relation to documents, plagiarism detection, or problems necessary to capture the semantic, syntactic, or structural similarity of texts. Evaluated results of the similarity measure depend on the types of word represented and the problem statement and can be time-consuming. In this paper, we present a problem-independent algorithm of the similarity metric greedy texts similarity mapping (GTSM), which is computationally efficient to be applied for large datasets with any preferred word vectorization models. GTSM maps words in two texts based on a decision rule that evaluates word similarity and their importance to the texts. We compare it with the well-known word mover’s distance (WMD) algorithm in the k-nearest neighbors text classification problem and find that it leads to similar or better results. In the correlation evaluation task of similarity measures with human-judged scores, we demonstrate its higher correlation scores in comparison with WMD and sentence mover’s similarity (SMS) and show that GTSM is a decent alternative for both word-level and sentence-level tasks.
THE IMPACT OF HARRY POTTER FILMS ON CHILDREN’S BEHAVIOR BASED ON CONCRETE OPERATIONAL CONCEPT BY JEAN PIAGET

Exciting movies are films with components that can affect a person's psychology and emotions including towards children. The Harry Potter movie is basically a show aimed at children after being adapted from a novel. It is about a world that full of magic and beautiful personalities that even adults are amazed by the links made between the minute details within every scene. However, there are several different opinions related to the story that say that the story has either a negative or positive effect on the children. This research was done to analyse the relationship between element of concrete operational concept and the impactful scene from one of Harry Potter movie, which is Harry Potter and the Sorcerer's Stone(2001). This research uses qualitative approach to answer all the research objectives with applying the method of descriptive analysis and focus on the materials collection based on phenomenally recorded news and feed backs from public as well as the support with authors, newspapers, journal, and other sources. Also, the cognitive operational concept by Jean Piaget’s cognitive development theory is use in this research to draw the conclusion at the end of the study. Thus, Harry Potter and the Sorcerer's Stone (2001) can be watched by the children especially children under the age of 7 until 11 years old after analyzing through each scene and relate it with the theory mentioned above.
Adaptive fine-tuning strategy for few-shot learning

Few-shot classification aims to recognize innovative classes that lack enough labeled examples. Existing few-shot learning methods train a model on the source dataset and transfer knowledge to the target dataset. However, the trained model cannot generalize well to unseen tasks, especially when there are domain shifts. To address the aforementioned limitation, we propose an adaptive fine-tuning strategy to improve the generalizability of the pre-trained model. Our core idea is adaptively transferring target-task-specific knowledge to different target tasks. Specifically, we perform an evolutionary search on the task-specific validation dataset similar to the target dataset. Class hierarchy structure is introduced to seek the closest validation super class of the novel class. Meanwhile, our work takes the evolutionary searched model instead of the pretrained network serving as the initialization of fine-tuning. Extensive experiments proceeded and demonstrate the effectiveness of our adaptive fine-tuning strategy. Furthermore, our proposed method can be easily combined with meta-learning and transfer learning methods to improve their generalizability.
Involving older adults in fall prevention using m-Health technology

In order to remain connected to people, services, events, and so on, an older adult must be able to easily leave their home and access their destination. When stairs are involved, an older adult may need another person or device or change in the environment to facilitate connected autonomy. In older adults, one of the barriers to maintaining connected autonomy is the high incidence of stair falls and associated injuries. After an overview of stair falls in this population, this chapter will discuss the importance of the built environment in falls and review the literature on stair features such as the length and height of a step, having a graspable handrail, and more, that contribute to stair falls in older adults. Given the importance of this issue to the population in question (older adults), this chapter will discuss novel m-Health, citizen science approaches to fall prevention that directly involve the people concerned. This type of approach facilitates connected autonomy as it empowers older adults to identify hazardous stairs in their environment, advocate for changes, and ultimately maintain their needed connections.
Improving cybersecurity incidents reporting in Nigeria: micro and small enterprises perspectives

Leveraging on the provisions of the internet enhances the productivity of Micro and Small Enterprises (MSEs), increases industrial growth and their contributions to national prosperity. Every cyber-attack against their businesses should be reported to the requisite incident response body through the appropriate channels for quick recovery from attack. This research examines how the MSEs in Nigeria report cybersecurity incidents. This study surveyed 100 MSEs. The outcome of the research shows that 72% of the MSEs is unaware of the channel of reporting cyber incidents and does not report cyber incidents. Participants totaling 90% believe that the Sectoral Computer Security Incident Response Team (CSIRT) could improve on reporting of cybersecurity incidents through sensitisation. Amongst others, we recommended the Sectoral CSIRTs were to develop an Incident Report and Response Plan (IRRP) for managing cybersecurity incidents in MSEs.
String theory and the real world: the visible sector, 2nd edition

"String theory and the real world: the visible sector, 2nd edition." Contemporary Physics, ahead-of-print(ahead-of-print), p. 1
Visualization of Gastric Acid Reflux Using Mobile-Based Augmented Reality

Interactive information media has many benefits in the process of conveying information, one of which is by visualizing objects in real time. Socialization activities at the Rensing Health Center in conveying information on gastric diseases still do not use visual aids as a medium for delivering counseling. Therefore, this study aims to develop information media in the form of an android application by utilizing Augmented reality (AR) technology to show the stomach acid process in real time which is visualized in the form of 3D animation. The method used in application development is Multimedia Development Life Cycle (MDLC). Where this method consists of 6 (six) stages of development, namely concept, design, Material Collecting, Assembly, testing and distribution. The results of this study are a visualization application of gastric acid reflux using mobile-based augmented reality built using Unity 2017.3.1f1 and the Vuforia Software Development Kit (SDK), with several stages of the process, namely entering the database and all assets into unity, lighting, creating a user interface, scripting and finally build the application to the android platform Based on the results of application trials that have been carried out at the Rensing Health Center, it shows that mobile-based augmented reality has succeeded in assisting officers in visualizing gastric acid reflux. The satisfaction of health officers in using the application can be seen from the results of the questionnaire to the respondents, where the results of the questionnaire 32% stated strongly agree, 59% agreed, 6% disagreed and 2% disagreed.
The Impact of AR Environment in Enhancing Visualization of Petroleum Refinery Process

Petroleum refinery is an industrial process plant where crude oil is being transformed and refined into most useful products.In the industrial process, it involves a lot of complicated physical and chemical processes that are sequentially applied for various refinery processes.Some employees are facing a difficulty to understand the training module because the tools being used limits the ability to learn and understand the abstract complex process and face the challenges to visualize the content as it is viewed via a two-dimensional (2D) method.Therefore, this paper tries to focus the attention on the practical use of AR in the crude oil refinery process, describing the potential and the effectiveness of this technology to enhance their visualization skill.The study used quasi-experimental research design on the technical employees that were trained on the basic refinery process of crude oil.Two groups of samples consist of an experimental group who were exposed to the AR environment and a control group that was taught using conventional training methods.The result demonstrated there is a significant difference between the scores obtained by the technical employees in the experimental group, thus the application of AR was able to enhance technical employees' visualization skills as a training approach.
FROM CRITICAL THINKING – TO CREATIVITY: STEPS TO UNDERSTANDING

The paper contributes to the study of correlation between critical and creative thinking as the twenty-first century skills vital to succeed and stay competitive in the modern Information Age. The aim of the research is to ground a possibility of facilitating creativity with the help of critical thinking. The concepts of creative thinking and critical thinking are analysed. A synergetic correlation of creativity and critical thinking, with mutual reinforcement of both, is argued. Critical thinking is getting more innovative character, while creativity is raising to a higher level with more realistic results. To investigate the mechanism of reaching a creative result through critical thinking, original Bloom’s taxonomy of educational objectives and learning behaviours was compared with its revised version of 2001. It was highlighted that both versions of the taxonomy presuppose that critical thinking skills complement and reliably enable the creation of innovative ideas and new realities. The revised version recognizes and emphasises the creativeness of the critical thinking and, vice versa, the necessity of critical judgments in creating new products. The relevance of critical thinking skills for the development of creativity was considered with the help of an integrative model of critical and creative thinking proposed by L. Combs, K. Cennamo, and P. Newbill. It illustrates that critical and creative thinking overlap when it goes about the generation and refinement of ideas – at the level of high-order thinking processes, according to B. Bloom’s taxonomy. The article argues that collaboration of critical and creative thinking starts even earlier – namely, at the stage of setting a target for innovation, collecting information, interpreting and applying it – and continues throughout the entire path of constructing an innovative idea, its reflective evaluation and practical implementation. That is, critical thinking ensures self-regulation of creative thinking at all stages of creative activity and serves as a methodological tool of the creative process. It is concluded that application of critical thinking to creativity leads to better-grounded decisions, unbiased attitudes, more innovative solutions and higher quality deliverables.
The Preliminary study on Possibility of Online Art and Design Education Service

Due to the unprecedented pandemic, contactless service has become common in society, and preference is also generally increasing. As the point of digital transformation is taking place in earnest, it is necessary to develop an appropriate direction that meets the demand of the times in Art and Design education services. Especially, establishing online teaching skills for practical subjects such as drawing, 2D, and 3D is necessary. This is because practical training is significant, but an online learning environment is not stable these days. Many kinds of research are ongoing to find effective ways for online art and design learning systems beyond distance constraints but have not been settled yet. Accordingly, this study researched the current environment of art and design education services with online and state guidelines on the basis of online practice.
Mediation Effect of the Organization Effectiveness of the Institution in the Relationship between the Professionalism of Principal and Play Support Efficacy of Early Childhood Teacher

This study attempted to verify the mediating effect of the organizational effectiveness of the institution in the relationship between the principal's professionalism and the play support efficacy of early childhood teachers. The subjects of the study were 203 teachers working at kindergartens and daycare centers located in Gyeongsangbuk-do and Ulsan Metropolitan City. For the data analysis, using SPSS and AMOS 26.0, reliability analysis, frequency analysis, descriptive statistical analysis, correlation analysis, and confirmatory factor analysis were conducted. Finally, in order to examine the causal relationship between variables, the structural equation model analysis and the significance of the mediating effect of the organization effect of the institution were verified through the bootstrap method. First, the research results showed a positive correlation between research variable respectively. Second, there were mediating effect of organizational effectiveness of the institution in the relationship between the principal’s professionalism and teachers’ play support efficacy. Therefore, the results of this study suggest the need for a multi-faceted approach to the teachers’ play support efficacy of teacher in the field.
A Study on the Exploration of Teaching and Learning Methods of Argumental Writing Using Dilemma Narrative: Focused on the ‘Lone Survival’

This study focused on the dilemma narrative revealed in the movie “The Lone Survivor” and attempted to explore the method of teaching and learning argumentative writing using it. It deals with the dilemma of “responsibility” and “ethics” that soldiers can face when they are in a war situation. In this study, an argumentative writing teaching and learning model was devised and applied to the class. As a result of 48 cadets writing along a series of processes called “Introduction, Argument, and Conclusion”, learners generally focused on the core argument and the evidence supporting it, but there were also learners who mentioned expected objections and responded to it. The moral dilemma situation dealt with in this study can be applied not only to writing but also to communication education. Based on discussion activities with students who disagree before or after writing, learners will be able to reach a higher level of critical thinking based on various perspectives.
Performing large-scale mining studies: from start to finish (tutorial)

Modern software engineering research often relies on mining open-source software repositories, to either provide motivation for their research problems and/or evaluation of the proposed approach. Mining ultra-large-scale software repositories is still a difficult task, requiring substantial expertise and access to significant hardware. Tools such as Boa can help researchers easily mine large numbers of open-source repositories. There has also recently been more of a push toward open science, with an emphasis on making replication packages available. Building such replication packages incurs additional workload for researchers. In this tutorial, we teach how to use the Boa infrastructure for mining software repository data. We leverage Boa’s VS Code IDE extension to help write and submit Boa queries, and also leverage Boa’s study template to show how researchers can more easily analyze the output from Boa and automatically produce a suitable replication package that is published on Zenodo.
Salient Region Detection Based on Spectral Residual and Sparse Reconstruction Error

In this paper, we propose a salient region detection method based on spectral residual and sparse reconstruction error. Spectral residual is obtained in the frequency domain, and very effective in extracting foreground which is relatively more salient than background in an image. Sparse reconstruction error effectively represents the whole image because of considering sparsity. We combine both spectral residual and sparse reconstruction error to successfully detect salient regions in an image. We first choose salient super-pixels obtained by image segmentation by spectral residual, and then compute sparse reconstruction error based on the salient super-pixels. Finally, we generate visual saliency maps by normalizing the visual saliency. Experimental results demonstrate that the proposed method successfully detects salient regions in an image and outperforms state-of-the-art ones in terms of the average score in subjective evaluations.
Three-dimensional human pose estimation based on spatio-temporal multi-feature fusion network

The current common 3D human pose estimation algorithms achieve good results in representation learning, but there are still problems such as poor estimation accuracy at the human skeleton joint points, so how to use redundant 2D pose sequence spatio-temporal information from monocular RGB images to estimate the human pose in an effective way is a research challenge, this paper proposes a 3D human pose estimation based on spatio-temporal multi-feature fusion network. The algorithm specifically combines a spatio-temporal multi-feature fusion hierarchical method of image appearance information and motion timing information, which uses a compact convolutional neural network to learn spatio-temporal information to model 2D joint point position information as 3D joint point position. Experimental results show that the proposed method currently achieves more advanced end-to-end pose estimation accuracy and does not require any post-processing stage of the pose optimization method, and the experimental results show that the pose estimation obtained in this paper is effectively improved in terms of average accuracy, proving that the method in this paper can effectively improve the accuracy of human pose estimation.
Research on 12316 resource sharing interaction based on shared resource semantic description model

[Purpose/Significance]The contents, description and storage format of the "12316" data resources under the Ministry of Agriculture are not uniform, and the sharing of resources is difficult, which is not conducive to the "12316" business services. It is necessary to develop a set of effective sharing construction methods to meet the needs of industry data resource publishing and sharing, and to realize data exchange with different fields. [Method/Process] The scheme puts forward the "shared resource semantic description model" exchange mode, combined with the "12316" sharing platform construction, gives the "12316" exchange mode design ideas and implementation, and defines the data sharing metadata set among them. [Result/Conclusion] This scheme provides a standard, flexible and concise description method for the construction of "12316" sharing platform, and proposes an effective information integration interaction mechanism for the distributed, multivariate and heterogeneous "12316" data resource sharing exchange.
Computational indistinguishability and boson sampling*

Abstract We introduce a computational problem of distinguishing between the output of an ideal coarse-grained boson sampler and the output of a true random number generator, as a resource for cryptographic schemes, which are secure against computationally unbounded adversaries. Moreover, we define a cryptographic setting for the implementation of such schemes, including message encryption and authentication, as well as entity authentication.
Development and application of computer software technology under big data technology

This paper mainly analyzes the important role and core technology in the development and application of computer software technology in the era of big data, and systematically analyzes network storage technology, information security technology and network communication technology. Computer software technology is also divided into two core functions, including cloud storage technology and virtualization technology. Cloud storage technology can use the general cloud computing server to store and manage data information, form a systematic data information structure, and greatly meet the content storage requirements of computer software. Virtualization technology is to optimize the resource allocation of resources in the database and improve the operability of computer software technology.
Dense subgraph mining kmax-truss optimization algorithm

K-truss is a dense subgraph based on clique. Finding the largest k-truss in a graph is an important problem in graph analysis. The truss decomposition algorithm is widely used in finding k-truss because of its simplicity and ease of implementation. With the explosive growth of graph data scale, the traditional truss decomposition algorithm causes a lot of redundant computation and is no longer applicable. The kmax search strategy that combines large, medium and small steps, realizes subgraph prediction through k-core, reduces the data size, uses large, medium and small steps to retrieve, reduces the number of iterations, and eliminates some redundant calculations. However, the middle step and small step use fixed values, and the number of iterations is too many on some scale graphs. This paper proposes a dynamic adaptive step size method, and uses the clique to analyze the intermediate results, ending the iterative process early and improving the execution efficiency. The experimental results show that compared with the existing kmax search strategy combining large, medium and small steps, 30% iterations can be reduced.