Reviewerly/exHarmony huggingface dataset:
Research on Industrial Internet Security Emergency Management Framework Based on Blockchain: Take China as an Example

Abstract Building a national unified ISEMS (industrial internet security emergency management system) plays an important role in industrial cybersecurity defense. However, due to technical and management constraints, the current ISEMS has problems such as scattered security organizations, poor sharing channels, and fails to form an overall security guarantee capability for threat reporting, analyzing, warning, and disposing. The blockchain technology has the characters of decentralized trust construction, inter-organizational data sharing, data integrity assurance, data traceability, which just meets the requirements of the emergency management process. This paper analyzes the situation and challenges of ISEMS, describes the system architecture and organizational structure based on the blockchain, and describes the key implementation processes of blockchain-based ISEMS, including threat report, risk analysis, warning release and emergency response.
Features of the Software Implementation of the Digital Adaptive Platform for Learning Programming with the Teamwork Skills Forming Function

A study of existing approaches to creating educational environments for learning programming is conducted. Their main shortcomings are analyzed. The concept of a digital adaptive platform for learning programming, taking into account the identified shortcomings, is proposed. The features of the software implementation are described in a form of links between platform components, operation concepts and the platform architecture overall. The features of the software architecture and implementation of the digital adaptive platform for learning programming with the teamwork skills forming function are demonstrated.
The Application of Virtual Reality Technology in ESP Teaching

Discuss how virtual reality (VR) technology can improve the learning efficiency of Chinese students’ ESP (English for special purpose), especially if it is applied to early childhood education. VR mainly revolves around scenes, interactivity, fun, and immersive experiences. The research on the theory of information processing and learning proves that the information delivered to students by ESP teaching using virtual reality technology is more acceptable than the information delivered to students by ordinary ESP teaching. Accordingly, this article analyzes and studies the application of VR technology in ESP teaching.
What Happens When Artificial Intelligence Invents: Is the Invention Patentable?

In a decision published on April 27, 2020, the United States Patent and Trademark Office determined that only a human can be considered an inventor. So, who owns the patent when artificial intelligence makes the invention? What are the practical and logistical complications inherent in artificial intelligence‐created inventions? With technology advancing faster than the legal system, what can we expect moving forward?
A closer look at the bodily-kinesthetic intelligence in Physical Education classes

This article poses a reflection on the pedagogical practices developed during Physical Education classes in school. Intending to move beyond a diagnostic analysis of what concerns this area of knowledge in the school routine, this study aims to present this curricular component highlighted as bodily-kinesthetic intelligence. The change to a comprehensive view of the mind has unveiled human cognition and has enabled the identification of different cognitive forces with contrasting styles. Based on a narrative review, specific to this theme, focusing on pedagogical practices experienced in Physical Education classes, the guidelines on this subject, were analyzed. The main purpose of changing this mindset is to improve intelligence manifestations, by stimulating the individual’s innate potentials through opportunities. The considerations highlighted in this analysis allow us to reveal significant points for this area. In light of the principles of the Theory of Multiple Intelligences, this study portrays the importance in the choice of content that is representative of the reality of the receivers, developed through various learning pathways during Physical Education classes in school. The establishment of theoretical principles presented by Howard Gardner greatly contributed to the educational field, with emphasis on teaching through various approaches, allowing Physical Education to interpret the students’ performance with a focus on their potentials.
COMPUTER-BASED TESTING: A NECESSARY EVIL OR A SENSIBLE CHOICE?

For many students and teachers working in online environments during the current pandemic crisis, the use of computers for educational testing is often an unavoidable predicament. This may be due to the fact that computer- based materials are not merely a useful addition to the learning and teaching resources, but rather the only option available. However, although in some contexts computers may indeed be a significant hindrance to test developers and test takers alike, they actually offer a number of substantial benefits. It is also worth pointing out that, by and large, educational tests delivered through online platforms with the aim of measuring progress and achievement in learning have a lot in common with traditional paper-based tests. This article is thus an attempt at balancing the advantages and disadvantages of computerized testing with a view to finding out whether this mode of testing can be recommended as the preferred choice. Based mainly on a literature review of research and practice in the area of computerized and online educational testing, the paper provides a synthesis of key issues relevant to using electronic devices for the purpose of constructing, administering, and analyzing tests and assessments. In particular, the discussion focuses on the models of test administration, the merits and demerits of computer-assisted testing, the comparability of paper-based and computer-based test scores, as well as selected features of web-based testing systems, such as text-to-items converters, test generators, full-screen delivery mode, automated scoring (and human verification thereof), score reporting, feedback, as well as quantitative analysis of test scores. The article also puts forward some arguments in favour of developing one’s own testing application.
The Protectable Privacy Preserving Authentication for IoT Devices Access

With the development of Internet of Things technology, the popularization of mobile smart terminals and the improvement of smart city construction, it has laid the foundation for the development of the economy. To provide protectable privacy preserving authentication mechanism for IoT devices accessing, an anonymous authentication mechanism based on the proxy signature and knowledge signature technology is proposed for the protection of user's identity. In this mechanism, firstly, the IoT facility authenticates the identity of the middle agent through the proxy signature and then verifies whether the user is authorized by the middle agent through the knowledge signature submitted by the user. And the user doesn't need to offer his identity information. The Canetti-Krawczyk model is used to prove the authentication security of the mechanism. The result of analysis shows that the mechanism could resist replay attacks and camouflage attacks.
Decentralized Control of Adaptive Data Collection Processes Based on Equilibrium Concept and Reinforcement Learning

The model of decentralized control of adaptive data collection processes has been developed based on the equilibrium concept, which is used to study the problem of coordinating joint collective actions from the point of view of finding an effective scheme for complementing the individual actions of data collection processes in the absence of a control center.The method of decentralized control of adaptive data collection processes in autonomous distributed systems based on the equilibrium concept and reinforcement learning by the method of normalized exponential function (softmax) has been developed.The method allows one to organize autonomous distributed exploration under the conditions of dynamic changes in the number of data collection processes and unreliable local information interaction between them.As a result of research and modeling of the developed method of decentralized control, it has been established that the use of the reinforcement learning (normalized exponential function method) provides more effective search for a solution compared to the method of adaptive random search (by an average of 28.3%).Using the efficiency retention rate, an estimate was obtained for the dependence of the work of the developed decentralized control method on the change in the number of adaptive data collection processes and the change in the information interaction channels between adaptive data collection processes.
Thieme MedOne Education Review

The Thieme MedOne Education platform offers a complete e-book library of medical textbooks for students, instructors, and clinicians. Designed to cover all courses in the medical school curriculum, this collection is suitable to embed in coursework or to utilize for learning, review, and research. Images, videos, audio clips, and user-curated playlists are available alongside e-books when searching or browsing the collection. The user-friendly interface provides multiple viewing modes for individual textbooks and both downloading and annotating capabilities. The purpose of this review is to explore the contents and features of the platform and evaluate usability.
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection

Recently the problem of cross-domain object detection has started drawing attention in the computer vision community. In this paper, we propose a novel unsupervised cross-domain detection model that exploits the annotated data in a source domain to train an object detector for a different target domain. The proposed model mitigates the cross-domain representation divergence for object detection by performing cross-domain feature alignment in two dimensions, the depth dimension and the spatial dimension. In the depth dimension of channel layers, it uses inter-channel information to bridge the domain divergence with respect to image style alignment. In the dimension of spatial layers, it deploys spatial attention modules to enhance detection relevant regions and suppress irrelevant regions with respect to cross-domain feature alignment. Experiments are conducted on a number of benchmark cross-domain detection datasets. The empirical results show the proposed method outperforms the state-of-the-art comparison methods.
Clinical Phrase Mining with Language Models

A vast amount of vital clinical data is available within unstructured texts such as discharge summaries and procedure notes in Electronic Medical Records (EMRs). Automatically transforming such unstructured data into structured units is crucial for effective data analysis in the field of clinical informatics. Recognizing phrases that reveal important medical information in a concise and thorough manner is a fundamental step in this process. Existing systems that are built for opendomain texts are designed to detect mostly non-medical phrases, while tools designed specifically for extracting concepts from clinical texts are not scalable to large corpora and often leave out essential context surrounding those detected clinical concepts. We address these issues by proposing a framework, CliniPhrase, which adapts domain-specific deep neural network based language models (such as ClinicalBERT) to effectively and efficiently extract high-quality phrases from clinical documents with a limited amount of training data. Experimental results on the MIMIC-III dataset show that our method can outperform the current state-of-the-art techniques by up to 18% in terms of F 1 measure while being very efficient (up to 48 times faster).11Our source code, pre-trained models and documentations are available online at: https://github.com/kaushikmani/PhraseMiningLM
A Supporting Tool for Requirements Prioritization Process in Agile Software Development

Requirements engineering is a crucial phase of software engineering, and requirements prioritization is an essential stage of requirements engineering particularly in agile software development. Requirements prioritization goals at eliciting which requirements of software need to be covered in a particular release. The key point is which requirement will be selected in the next iteration and which one will be delayed to other iterations for minimizing risk during development and meeting stakeholders’ needs. There are many existing techniques for requirement prioritization, but most of these techniques do not cover continuous growth, change of requirements, and requirements dependencies. The prioritization techniques need to be more continuous, scalable, implemented easily and integrated with software development life cycle. This paper introduces a supporting tool for a proposed framework to prioritize requirements in agile software development. This framework tries to find solutions for the challenges facing this prioritization process such as how to make this prioritization continuous and scalable and how to deal with rapidly requirement changes and its dependencies. The proposed framework is validated in a real case study using its supporting tool, and the results are promising
Design of Online Proofreading System for Business English Translation Based on Machine Vision

The translation work of business English is becoming more and more complicated, and the accuracy of translation cannot be maintained at a high level. Therefore, it is necessary to use an online proofreading system to make up for the lack of English translation software. However, due to the traditional online proofreading system, the design of the translation logic is relatively fragmented, resulting in the constant changes in the proofreading node layout and affecting the proofreading results. Therefore, an online proofreading system for business English translation based on machine vision is designed. In terms of hardware, connect a new type of single-chip microcomputer in the system and redesign the control circuit. On the software side, it calculates vocabulary similarity by tracking business English vocabulary; calculating semantic similarity based on content characteristics, and designing the system's online proofreading logic based on machine vision theory, and then resetting the system's online intelligent proofreading method. Experimental results: Compared with the system under the traditional design, the proofreading node of the design system deployment and control has a certain regularity. After proofreading the English translation, the accuracy of the translated content has been greatly improved.
A closure operator for the digital plane

We introduce and study a closure operator on the digital plane Z2. The closure operator is shown to provide connectedness that allows for a digital analogue of the Jordan curve theorem. This enables using the closure operator for structuring the digital plane in order to study and process digital images. An advantage of the closure operator over the Khalimsky topology on Z2 is demonstrated, too.
Augmented Reality Based Media for Learning Biology During the Covid -19 Pandemic: Student Admission

The advancement of digital technology in Industry 4.0 requires the ability to take advantage of technology as a whole and completely.Smart device technology which has many advanced features has been widely used in Indonesia, namely smartphones and is dominated by students.This technology tends not to be fully utilized in learning activities, including the use of augmented reality technology that does not support student learning.This condition needs to be addressed immediately, but it is necessary to conduct a test first on how to recognize students with augmented reality technology.This research was conducted by developing a questionnaire that shows the acceptability of augmented reality technology and its potential in biology learning activities.The conditions of the Covid-19 pandemic will make students even more intense in using this smartphone device.The use of digital technology devices has entered an educational aspect that has great potential in supporting learning activities, the use of Augmented Reality technology to support student observation objects in the field of biology education.
Elephant Herding Optimization

This chapter presents the basics of newly developed swarm intelligence based optimization technique, i.e., elephant herding optimization (EHO). First we discuss the background of this method followed by its basic steps and pseudo-codes. In order to demonstrate the application of EHO, some solved examples along with their MATLAB source codes are also provided.
Visual Analysis Motivated Rate-Distortion Model for Image Coding

Optimized for pixel fidelity metrics, images compressed by existing image codec are facing systematic challenges when used for visual analysis tasks, especially under low-bitrate coding. This paper proposes a visual analysis-motivated rate-distortion model for Versatile Video Coding (VVC) intra compression. The proposed model has two major contributions, a novel rate allocation strategy and a new distortion measurement model. We first propose the region of interest for machine (ROIM) to evaluate the degree of importance for each coding tree unit (CTU) in visual analysis. Then, a novel CTU-level bit allocation model is proposed based on ROIM and the local texture characteristics of each CTU. After an in-depth analysis of multiple distortion models, a visual analysis friendly distortion criteria is subsequently proposed by extracting deep feature of each coding unit (CU). To alleviate the problem of lacking spatial context information when calculating the distortion of each CU, we finally propose a multi-scale feature distortion (MSFD) metric using different neighboring pixels by weighting the extracted deep features in each scale. Extensive experimental results show that the proposed scheme could achieve up to 28.17\% bitrate saving under the same analysis performance among several typical visual analysis tasks such as image classification, object detection, and semantic segmentation.
Long-term Adaptive Tracking for HFSWR Vessels Combined with ELM

Due to highly maneuverable vessels, dense channels and strong clutter, intermittent track segments are common in large-scale marine monitoring. To solve this problem, we propose a long-term continuous tracking method for high frequency surface wave radar (HFSWR) based on an adaptive filtering algorithm combined with an extreme learning machine (ELM). Via analyzing the features of the vessels and tracks and lots of simulations, we select average velocity, average acceleration, average heading angle, average curvature, ratio of the arc length to the chord length, and wavelet coefficient to compose the multidimensional feature vector to train and test the ELM. Field experiment results show that the proposed method has better performance than conventional algorithms with the correct association probability of 94.7&#x0025;.
Infrastructure as Code

Infrastructure as Code (IaC) has become an integral part of various careers in ICT, particularly in relation to the cloud. Software like Kubernetes, Docker, Chef, and Puppet lead the charge in utilizing IaC in daily operations. The HashiCorp suite fits perfectly into this genre. Tools like Terraform, Vault, and Vagrant can be used to create fully automated environments for realizing automation. In this chapter, we will introduce the basic principles of Infrastructure as Code from a theoretical perspective. This is fundamental for better design and implementing the automation in real applications.
Reading Notes as Media to Enrich Communications between Reader and Book

People have considered that “Reading” has many advantages for a long time. However, in recent years, the decrease of reading of young people has become a serious problem in Japan. Postulating that reading is communication between a reader and a book, we define the importance of reading as giving readers intellectual stimulation, exciting creativity, and expanding their inner world. In reading, a book has no reaction to the reader, and it prevents the reader and the book from interacting. To solve this problem, we propose a new type of reading notes as media that intermediates interactions between them. Since people had to take considerable time and effort to take reading notes so far, we use gaze information generated through his/her reading behaviors. Readers change reading patterns depending on the difference of interest in and difficulty of the contents of books. Therefore, gaze information represents reader's mind about the book. We think it useful to create reading notes. Researches on gaze information and reading have been conducted so far. However, these studies don't aim to create reading notes that reflect reader's mind. We propose an automatic reading notes creating system using reader's gaze information during reading.
The Realization of Digital Design from Sketching to AR Presentation: Taking the Product Design of “Old-style Ammunition Box” As an Example

Research purpose: product design is a process of technology and art interaction to promote innovation. It is not easy to communicate with customers in an all-round way only through sketches and rendering effect drawings. In order to improve the efficiency of communication with customers, augmented reality(AR) technology is introduced into the product display. Taking the product design of “old-style ammunition box” as an example, this paper studies the whole process of digital design from creative sketch to AR display, and finally presents the product to customers in the form of AR interactive visualization. In addition, there are more theoretical studies on the application of AR technology in the field of product design, but less practical operation. Research methods: this paper takes the product of “old-style ammunition box” as an example, from drawing design sketches, creating models with Maya, optimizing models, baking maps and mapping with Substance Painter, rendering output of product effect drawings and exporting AR files using Toolbag Marmoset, and finally showing augmented reality in Adobe Aero and Win10 3D viewers. Research conclusion: taking the design process of a product from scratch as an example, this paper fully describes the actual production process from creative design to AR display. Using AR technology, the product is integrated into the actual application scene, the three-dimensional product is presented to customers intuitively, the efficiency of communication with customers is improved. Customers can participate in the improvement and modification of products, the user's experience is improved, and the performance effect is enhanced. The method can also be transplanted and applied to the fields of scientific experiment, educational visualization, entertainment, telecommuting, collaborative office and so on.