Reviewerly/exHarmony huggingface dataset:
Network Information Technology Application Based on Blockchain

As a new application model of distributed data storage, smart contract and other computer technologies in the Internet era, blockchain has been widely used in digital currency, payment and settlement, material supply chain, energy transaction, etc. It is essentially a decentralized database. Through its unique technical design and data management methods, it can support multi-party collaboration in different fields. Blockchain technology is a new research result in the field of encryption and security. It is closely related to network and information security, and can be used to solve some problems in this field, such as attack defense, data protection, privacy protection, identity authentication, crash recovery, etc. Security testing involves multiple subjects such as R&D manufacturers, evaluation agencies, operation and maintenance units, and system users. It just caters to the characteristics of blockchain multi-party participation, data sharing, and establishment of mutual trust mechanisms.
A method of core concept extraction based on semantic‐weight ranking

Summary In order to improve the efficiency of domain ontology concept extraction, this paper proposes a method of semantic‐weight ranking to extract core concepts. Firstly, we make segmentation processing for corpus texts and obtain the candidate concept set, and then analyze the correlation between the candidate concepts through the method of semantic similarity to form a mesh graph structure. We secondly calculate the semantic‐weight of the concept according to the generated mesh graph. Ultimately, we realize the core concept extraction via ranking different semantic‐weight. At the same time, we give the fuzzy relationship representation of the core concepts through the statistical characteristics of the core concepts' membership. On the foundation of the extraction method, we carried out the experiments with the financial text and had achieved an accuracy rate of 81.8%, which could effectively extract the core concepts and play a positive role in the content construction, knowledge sharing, and knowledge reuse.
ANALYSIS OF CUSTOMER SENTIMENT ON PRODUCT FEATURES AFTER THE OUTBREAK OF CORONAVIRUS DISEASE (COVID-19) BASED ON ONLINE REVIEWS

Abstract The outbreak of the coronavirus disease not only caused many deaths worldwide but also severely affected the development of the global economy, such as supply chain disruptions, plummeted demand, unemployment, etc. These social changes have led to changes in customers' purchasing patterns. Therefore, it is more important than ever for manufacturers to quickly identify and respond to changing customer purchasing patterns and requirements. However, few studies have been done on dynamic changes in customer preferences for product features following COVID-19 spread. This study aims to investigate the dynamic change of customer sentiment on product features following COVID-19 through sentiment analysis based on online reviews. The proposed methodology consists of two main processes: feature extraction and sentiment analysis. After finding a specific feature of the product through feature extraction, the words used to mention the feature in the review were analyzed for sentiment analysis of customers. To demonstrate the methodology, a case study is conducted using new and refurbished smartphone reviews to investigate the dynamic changes in customer sentiment during COVID-19.
Proposed ICT-based New Normal Smart Care System Model to Close Health Gap for Older the Elderly

At the time of entering the super-aged society, the health problem of the elderly is becoming more prominent due to the rapid digital era caused by COVID-19, but the gap between welfare budgets and welfare benefits according to regional characteristics is still not narrowed and there is a significant difference in emergency medical access. In response, this study proposes an ICT-based New Normal Smart Care System (NNSCS) to bridge the gap I n health and medical problems. This is an integrated system model that links the elderly themselves to health care, self-diagnosis, disease prediction and prevention, and emergency medical services. The purpose is to apply location-based technology and motion recognition technology under smartphones and smartwatches (wearable) environments to detect health care and risks, predict and diagnose diseases using health and medical big data, and minimize treatment latency. Through the New Normal Smart Care System (NNSCS), which links health care, prevention, and rapid emergency treatment with easy and simple access to health care for the elderly, it aims to minimize health gaps and solve health problems for the elderly.
A Metric For Quantifying Image Quality Induced Saliency Variation

Saliency plays an important role in the area of image quality assessment. Image distortions cause shift/redistribution of saliency from its original places. There is a need to be able to measure such distortion-included saliency variation (DSV), so that the use of saliency can be optimised for automated image quality assessment. Effort has been made in our previous study to build a benchmark for the measurement of DSV through subjective testing. In this paper, we demonstrate that exiting similarity measures are unhelpful for the quantification of DSV. Thus, we propose a new metric for DSV combining local and global measures using convex optimization. The experimental results show that our proposed metric can accurately quantify saliency variation.
Plum2Text

In this paper, we introduce a new French Data-to-Text (D2T) dataset in the legal domain: Plum2Text1. It is made out of plumitifs (docket files) - descriptions pairs that are derived from publicly available documents issued by Canadian criminal courts. The development of Plum2Text is primarily intended to train statistical natural language generation algorithms, in order to make the plumitifs more easily understandable for Canadian citizens. The inputs and outputs of the dataset are unique: on the data side, the values of the table contain long pieces of textual utterance, and on the text side (or reference), it most often consists of a paraphrase of the table values. We describe how we curated the plumitif-description associations by introducing an annotation tool and a methodology specific to the D2T natural language generation task. We do so by using simple yet efficient text classifiers to help the annotator leverage annotated examples during the annotation process. As a matter of privacy, we also illustrate how we are decontextualizing the descriptions.
Validation and Similarity Evaluation of Leukocyte

Abstract Generally the Examination of WBC to identify the foreign particles, abnormal conditions and it shows the status of theleukocyte. To avoid rick factors disease of brain such as aneurism, stroke and tumor at initial stage. It also show the types, region and severity. The individual examination of basophil(B), eosinophil(E), lymphocyte(L), monocyte(M) and neutrophil(N) predetermination of patient body condition are possible in clinical level examination to get a suggestion regarding the diseases to get treated and some of the techniques are used to reduce the complexity. Automated and semi-automated tool is useful for the process. The microscopic images of different classification of leukocyte is taken from the microscopic images. Each image is evaluated, validated, compared and verified with ground truth image.
고등학교 중국어 교과서 문화항목 분석과 제언

This paper analyzed high school Chinese Ⅰ textbooks and Chinese Ⅱ textbooks and got the following conclusions. First, despite the total of 17 different textbooks, the cultural content was biased towards a specific subject and specific region. Second, it did not reflect the changed age. Third, the relationship with the text is poor. And, culture is less important because there is only one page at the end. Fourth, there is no mention of Korea-China exchange and Korea-China comparison. In order to solve these problems, this paper made two suggestions. First, the cultural part is moved to the front of the text, and a video is displayed using the QR code. Second, it is necessary to properly use big and small cultures when editing textbooks. In this way, we can teach a culture that fits the reality and this age.In the 21st century, the world has become an era of culture, and I believe that our students will be able to become global members when we provide balanced education of language and culture by properly reflecting it in the curriculum. When teaching the culture required by the times using the already developed cultural skills, the students’ response will be much better and the students will take self-directed learning methods.
Improvement and Assessment of a Blind Image Deblurring Algorithm Based on Independent Component Analysis

The aim of the present paper is to improve an existing blind image deblurring algorithm, based on an independent component learning paradigm, by manifold calculus. The original technique is based on an independent component analysis algorithm applied to a set of pseudo-images obtained by Gabor-filtering a blurred image and is based on an adapt-and-project paradigm. A comparison between the original technique and the improved method shows that independent component learning on the unit hypersphere by a Riemannian-gradient algorithm outperforms the adapt-and-project strategy. A comprehensive set of numerical tests evidenced the strengths and weaknesses of the discussed deblurring technique.
Establishing Interaction Between the Family and the Educational Institution in the Context of Distance Learning

This article analyzes the need for a system of interaction between school and parents. The main ways of cooperation between parents and an educational organization are revealed, using information technologies, which make it possible to involve parents in the process of teaching and raising their children.
Sentiment Analysis for Social Media

Abstract - Sentiment analysis, the automated extraction of expressions of positive or negative attitudes from text has received considerable attention from researchers during the past decade. In addition, the popularity of internet users has been growing fast parallel to emerging technologies; that actively use online review sites, social networks and personal blogs to express their opinions. They harbor positive and negative attitudes about people, organizations, places, events, and ideas. The tools provided by natural language processing and machine learning along with other approaches to work with large volumes of text, makes it possible to begin extracting sentiments from social media. In this paper we discuss some of the challenges in sentiment extraction, some of the approaches that have been taken to address these challenges and our approach that analyses sentiments from Twitter social media which gives the output beyond just the polarity but use those polarities in product profiling, trend analysis and forecasting. Promising results has shown that the approach can be further developed to cater business environment needs through sentiment analysis in social media.
Pseudo Human Sense in the Loop: Proposal of a Presentation Support Method by Pseudo Feedback of Audience Sense

In recent years, attention has been focused on information presentation methods that take into account the user’s situation by utilizing wearable computing technology. Most of the existing information presentation methods present users with information that gives them a choice of actions, and encourage them to take actions. However, users may not be able to control their own actions appropriately. It is important not only to encourage users to act, but also to forcibly control their behavior. Such behavioral control methods use actuators (e.g. displays, speakers etc.) to stimulate senses such as vision and hearing, and then control behavior by reversing the reaction to maintain consistency with the usual senses. However, most of these studies have not yet examined how to determine the intensity of the stimuli when introducing behavioral control methods into the real world. To solve this problem, we focused on the influence of the presence of others on human behavior control. We propose a method to determine the amount of stimuli to be fed back to the user based on the results of simulating the sensations of others. We define this method as Pseudo Human Sense in the Loop (referred to as “PHSIL” in this paper), and conduct cognitive psychology experiments on presentations, applying PHSIL to both auditory and visual stimuli, to verify the effectiveness of PHSIL.
Study of the k-ary GCD Algorithm

Abstract In our paper, we consider some approaches to accelerating the calculation of the Greatest Common Divisor (GCD) of natural numbers for given A and B based on the k -ary GCD algorithm. Such a task arises in the implementation of many mathematical and number-theoretic algorithms, for example, in cryptography and number theory (see [8]).
A Shared Blockchain Intelligent Public Protection Service Framework

Abstract With accelerated technical advancements in the IoT network, an intelligent scheme of public security is possible with the incorporation of heterogeneous data processing systems, with which public security services will collaboratively be provided. While this system design has always been pursued by IoT and Cyber internal environments, the provision of scalable and flexible IoT-based PLC frames in a legacy system is challenging. Traditional security techniques are sometimes founded on a tall structure which can be an in efficiency or a point let-down. Enthused through micro services also blockchain technologies, this article offers the Smart Public Security Architecture of Blockchain-Enabled Decentralized Micro services. A micro service-based authentication framework is implemented within a licence blockchain network for safe monitoring of data access in a PLC environment. Such functionality is divided into a single, intelligently organised package micro service which is dispersed at fog and edge node computing. A comprehensive experimental study found that the Blend MAS proposed would provide decentralised, scalable and secure intelligence gathering and access controls to the purchaser of IoT based PLC systems.
Character Input Method Using Back Tap on Smartphone

With the widespread adoption of smartphones, opportunities for character input using the smartphone are increasing. However, character input on a smartphone is challenging. For example, it is erroneous to input owing to the small size button and small size information screen owing to the large size character input screen. To solve these problems, input methods besides touch are being studied. For example, input using sight and gesture. The aim of this study is to develop a gesture input interface that uses a small motion, that is, back tap of the device input. Back tap indicates the motion of tapping the left and right sides of the back of the device once or twice. Furthermore, combinations that can be used for discrimination are considered. The three-axis sensor of acceleration and gyro on a smartphone is used to determine the movement. In addition, the sampling frequency is set to 200 Hz. Using Z-axis of acceleration and Y-axis of gyro, the sensor could determine the analysis acceleration and gyro data of back taps. In the experiment based on the analysis results, four patterns were discriminated. Accordingly, it was possible to determine all patterns with at least 90% accuracy. Because any pattern could be discriminated with high accuracy, we consider character input in consideration of affordances. In addition, the character input speed and accuracy are calculated.
X-Ray Image Enhancement using Global Histogram Equalization

Over the last decade, medical image processing has emerged as an important research area because it is very much sensitive to the naturalistic environments. The principle objective of the image enhancement is to recover the features of the input image. Some factors which make the image enhancement a challenging task. For instance, fluctuation of environmental factors in both training and testing images; and accurate enhancement of the images is required before diagnosis the disease in medical field. Existing methods cause over-amplifying, and occasionally it yields checkerboards of the improved image due to which we may lose the important information in the X-ray image. Therefore, this work implements a simple guideline in order to build small application for medical image enhancement using global histogram equalization that is the enhanced version of histogram equalization technique, which improves the image quality by enlarging the vigorous assortment of the intensity by the histogram of the entire image. The method was tested on publicly available X-ray dataset. The average recognition rate across the dataset specifies the achievement of utilizing the proposed method for image enhancement.
Designing Eco-cultural Development of Students' Personality in the Digital Educational Environment

The broad concept of the environment can be revealed through the necessary degree of concretization of human interaction with it, including with the digital educational environment. There is a problem of finding optimal approaches for pedagogical adaptation of the potential of the digital educational environment to the tasks of ecological development of the personality. The research is based on theoretical analysis and comparison of classical and modern approaches to the problem under study. Netnographic study was a large-scale empirical study for the level of ecological culture of students (9395 people). The distribution of students' responses was performed using Pearson's criterion. The phenomenological aspect of human ecological development has been sufficiently studied in terms of theory, methodology, and application. An analysis of presented approaches has contributed to the definition of the term "ecologically oriented personality". The issue of digital technology application for the development and implementation of the process under consideration has been insufficiently studied. As a result of empirical research, we have obtained a stable trend showing positive results related to the motivation for environmental-oriented activities among students, with the presence of axiological determinants for environmental-oriented activities, including those related to the small Homeland. Taking into account the significant involvement of the student community in the digital educational space, the correlation between the dominants in environmental thinking caused by the digital socio-cultural reality is revealed, which confirms the theoretically justified determinants of individual eco-cultural development.
Effect of Shifting Own Hand Position in Virtual Space on Mental Body Model

People have knowledge and images of their bodies called the mental body model. Several studies have revealed that the mental body model is changed based on visuo-tactile information, which changes behavior. Virtual reality (VR) and Augmented Reality (AR) technologies have attracted significant attention in various fields. Here, one may identify with a virtual avatar that has a different structure than one’s actual body, or one’s own body may be displayed differently from the actual position. Such visual changes in a body may affect the mental body model. This paper investigates whether and what extent we could change it by manipulating the visual position of the body parts in virtual space. We answered the following two research questions by analyzing the behavioral changes of the participants. One was whether visual or proprioceptive information was more weighted to determine the movement of the body. Another was whether the participant’s movement in the target action changed after they completed a task by observing their bodies at different positions than at the actual position. The results showed that people relied on visual information more than proprioceptive information for determining body movement, and larger visual image of position changes led to a larger change in latter behaviors. This study revealed the possibility that the mental body model can be changed by controlling a visual image of the body.
Collaborative Feature Learning and Credible Soft Labeling for Unsupervised Domain Adaptive Person Re-Identification

Cross-domain person ReID remains a challenging task for its difficulty in transferring knowledge from labeled source domain to unlabeled target domain. Aiming at the problem of weak interaction of cross-domain feature learning and inaccurate pseudo-label estimation in target domain, we propose a novel framework termed Collaborative Feature Learning and Credible Soft Labeling (CFSL) to achieve efficient domain adaptation for ReID. By designing a Collaborative Feature Extraction (CFE) module, a more powerful and discriminative image description is generated. Specifically, CFE jointly learn robust features by integrating both global and local clues on two domains and mining both cross-domain invariant features and domain-specific features. Moreover, we exploit a Dual Soft Labeling (DSL) strategy in target branch to obtain more credible and reliable identity estimations. Experimental results demonstrate the effectiveness of our method and show significant performance improvements over state-of-the-art methods on two public benchmarks.
Modern Educational Literature: The New Textbook on Management of Library and Information Activity

The article presents review of the textbook for bachelors “Management of library and information activity”. The author analyses the structure of the book and highlights the content of seven chapters. The article describes educational, scientific and practical significance of the publication. The book was published in early 2021 in the publishing house “Profession” as part of the publishing project on series of textbooks on basic academic disciplines for sectoral bachelorʼs degree course. The textbook is prepared by specialists of universities of culture and national, federal and scientific libraries. The basis of the publication is the marketing concept of management, considered in the context of priority areas of sectoral management. The textbook describes theoretical, legal, functional, technological and economic foundations of management of information and library activity and characterizes its areas. The author highlights the issues of personnel management and also considers the role of the head of library institution. At the end of each chapter, the textbook presents the summary, the questions for self-checking of knowledge learning, as well as the lists of the main publications on the topic. The textbook contains the subject index. In the text, there are graphically revealed the key concepts, using tables, graphs and figures. The textbook includes previously unpublished analytical material by I.M. Suslova “Evolution of approaches to library management”. The appendices contain provisions on the trends in libraries activity, as well as organizational and legal documents that can be used to develop their own local documents in specific cultural institutions. The textbook presents the material, taking into account the achievements of the modern level of domestic library science. The publication will be useful for both students and library specialists. The book makes significant contribution to the development of modern educational literature in the profile discipline and helps students learn the course “Management of library and information activity”.