Reviewerly/exHarmony huggingface dataset:
Processing Erroneous Situations in Large Blockchain Networks by a Consensus Algorithm Based on the Byzantine Generals’ Problem Solution

Blockchain networks built on the basis of PoS, DPoS, LPoS, PoE, PoIT, pBFT algorithms have certain limitations associated with the reduction of the new transactions inclusion rate in the blockchain when the number of blockchain network nodes participating in block creation increases. The developed stake distributed Byzantine Fault Tolerant (sdBFT) algorithm of consensus achievement allows to increase by several orders of magnitude the number of network nodes participating in consensus achievement in comparison to existing BFT algorithms, while maintaining the speed f transactions inclusion in the blockchain. The main erroneous situations in large blockchain networks are investigated in terms of their processing by the sdBFT algorithm. The processing of seven main erroneous situations in a blockchain is given: a master node is not available; an escort node is not available; an incorrect transaction is received; different number of closed blocks on different nodes of a blockchain network at the same time; a node rejects a new blockchain block; a network rejects a new blockchain block; two blocks with identical numbers appear in the network. It is shown that the correct interaction of the sdBFT algorithm with the blockchain network enables not only high performance with a large number of nodes and high transaction arrival rate, but also the ability of the blockchain using this algorithm to work out all the major error situations that arise in the operation of the blockchain network
Network analysis regarding international organisations and donors of humanitarian aid

This study aims to evaluate the status of the partnerships with important international organizations that Korea employs in operating its foreign aid projects from a humanitarian point of view. On the basis of this information, Korea intends to seek ways of effectively supporting underdeveloped countries through future co-operation with these organizations. The main international organizations analyzed are the World Food Programmer (WFP), the United Nations Children’s Fund (UNICEF), the United Nations High Commissioner for Refugees (UNHCR), the World Health Organization (WHO), the United Nations Development Program (UNDP), the (United Nations) Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), the Food and Agriculture Organization (FAO), the International Committee of the Red Cross (ICRC) and the Office for the Coordination of Humanitarian Affairs (OCHA). These international organizations support underdeveloped countries through co-operative relationships not only with Korea but also with important donor countries of the OECD. This study focuses on establishing the factors that Korea needs to consider when providing humanitarian aid in the future to underdeveloped countries via such international organizations.
The SISAC Barcode and the Periodicals Analysis Database

This workshop described the development of two serials management databases at Wichita State University (WSU) in Kansas. The databases facilitate periodical labeling, checkin, and use data collection. Usage information is loaded into another database which serves collection development needs. Nancy Deyoe, Principal Cataloger at WSU, described the labeling and checkin processing and workflow features. Kathy Payne, previously Science Librarian at WSU and currently Head of Reference at Weber State University, described the development and use of the collection development program. Both presenters demonstrated the use of the two databases. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Defining Structs

In this chapter, I describe structs, which is how custom data types are defined in Go. I show you how to define new struct types, describe how to create values from those types, and explain what happens when values are copied. Table 10-1 puts structs in context.
Full Issue

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 58, Issue 8 p. I-I Full Issue Full Issue First published: 11 October 2021 https://doi.org/10.1111/j.1467-6346.2021.10187.xAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Volume58, Issue8October 2021Pages I-I RelatedInformation
Peer review declaration

All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind Answer : We use a double-blind type of peer review process. The author and reviewer identities are hidden to each other. The papers that pass the plagiarism check, then proceed to review process. Review process was conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. Our reviewers are the eminent experts, prominent scientists and researchers. We use a double-blind type of peer review process. We provide reviewers an article grading form for each paper. The article grading form contains general comments and also specific suggestions and feedbacks for each section in the paper. The reviewer also asked to make a decision regarding the feasibility of publishing a paper along with the scientific reason behind it, such as substance suitability and data eligibility. Articles will not be processed further, if the results of the review state that the article is not eligible with the reviewer’s notes on the assessment form. We send the paper to the reviewer, for one until two weeks, to be reviewed. Then, we forwarded the results of the review to the author so that it could be improved according to the suggestions and notes of the reviewer. Next, we sent the results of the improvements from the authors back to the reviewers to be followed up, whether they have been well elaborated or still need improvement. When the revised paper still needed some improvement, the steps repeated until the reviewer verified that the article is feasible and ready to be processed to the final stage by the editor (layout and proofread). • Conference submission management system : Answer : All the ICMS 2021 papers were processed by committee email and also by personal message between committees and authors. • Number of submissions received : Answer : 79 • Number of submissions sent for review : Answer : 78 • Number of submissions accepted : Answer : 71 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100) : Answer : 89.9 % • Average number of reviews per paper : Answer : 2 • Total number of reviewers involved : Answer : 32 reviewers • Any additional info on review process : Answer : All the submitted papers were checked by plagiarism system (Turnitin) to see the plagiarism rate. We only accepted paper that has a plagiarism value below 20%. • Contact person for queries : Answer : Dr. Steven Solikin E-mail: steven-so@apps.ipb.ac.id Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University, Dramaga, Bogor 16680, West Java, Indonesia Phone: +62 878 8850 3459
Understanding Action Research Methodology As A Strategy To Reflect, Design, Implement, Refine, And Gather Data To Explore Questions Of Professional Interest

This paper aims to offer empirical evidence to understand action research methodology as a strategy to reflect, design, implement, refine, and gather data to explore questions of professional interest. To clear up any misinformation, action research is not the only research methodology known to scholars to explore questions of professional interest. This paper also draws on educational leaders and school administrators role in ensuring that teachers utilize action research to solve immediate, and somewhat, pressing issues in the classroom and academic environment. For example, exploring other research methods such as quantitative, qualitative, or mixed methods to solve issues in the academic environment may take several months or even years to get departmental and participant consent, research approval, extended data collection strategies, and research designs and apparatus, however, action research method models qualitative or quantitative practice and activities to clarify vision, theories, collect data, and even planning and reflection in the academic or workplace environment. Keywords: Action Research, Analyze Data, Gather Data, Explore Questions, Research Methodology, Strategy, Professional Interest, https://orcid.org/0000-0001-8444-8619
Creating HTTP Servers

In this chapter, I describe the standard library support for creating HTTP servers and processing HTTP and HTTPS requests. I show you how to create a server and explain the different ways in which requests can be handled, including form requests. Table 24-1 puts HTTP servers in context.
Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization

The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of them remains a challenge due to the overwhelming amount of candidate solutions to be evaluated, even by using sophisticated algorithms. In such a context, a set of nature-inspired stochastic methods, called meta-heuristic optimization, can provide robust approximate solutions to different kinds of problems with a small computational burden, such as derivative-free real function optimization. Nevertheless, these methods may converge to inadequate solutions if the function landscape is too harsh, e.g., enclosing too many local optima. Previous works addressed this issue by employing a hypercomplex representation of the search space, like quaternions, where the landscape becomes smoother and supposedly easier to optimize. Under this approach, meta-heuristic computations happen in the hypercomplex space, whereas variables are mapped back to the real domain before function evaluation. Despite this latter operation being performed by the Euclidean norm, we have found that after the optimization procedure has finished, it is usually possible to obtain even better solutions by employing the Minkowski $p$-norm instead and fine-tuning $p$ through an auxiliary sub-problem with neglecting additional cost and no hyperparameters. Such behavior was observed in eight well-established benchmarking functions, thus fostering a new research direction for hypercomplex meta-heuristic optimization.
Clustering Techniques in Data Mining: A Comparative Analysis

Data mining is the process of extracting useful information from massive amounts of data. It is the process of extracting useful information from large amounts of data stored in databases, data warehouses, or other information repositories. Data mining tasks are classified into two types: predictive and descriptive. &nbsp;The Clustering technique has been used to group data elements without advance knowledge of the group description. The clustering technique belongs to an unsupervised learning and it is used to discover a new set of categories. &nbsp;Clustering algorithms are classified into hierarchical, partitioning, grid, density-based, model-based, and constraint-based algorithms. The connectivity-based clustering is hierarchical clustering. Partitioning is a center-based clustering method in which the value of k-mean is set. Clusters based on density are defined as areas with a higher density than the rest of the data set. Grid-based clustering has the shortest processing time, which is typically determined by the size of the grid rather than the data. This paper compares the performance of three clustering algorithms: hierarchical clustering, density-based clustering, and K Means clustering.
The Serials Revolution: Vision, Innovation, Tradition

The objectives of this presentation are to: outline important developments influencing the publication of scholarly journals, describe several electronic scholarly communication models now in development, summarize the goals and current status of Project Muse at Johns Hopkins, and share some preliminary findings and observations drawn from this experiment in scholarly publishing. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@,aworth.com]
IMPLEMENTASI MOODLE SEBAGAI MEDIA PEMBELAJARAN JARAK JAUH

This study aims to determine the results of implementing the Moodle application as a distance learning medium for students who cannot do face-to-face learning, due to the COVID-19 pandemic. This type of research is a qualitative descriptive with a frequency distribution, which is concluded based on the data obtained during the study. The sample studied was 21 students. The results of the study found that there were 16.9% of students answered strongly agree; 45.5% of students answered agree; 30.7% of students answered disagree; 6.9% of students answered strongly disagree. Some students who answered disagreed or strongly disagreed had problems, namely not having a cellphone/laptop, unstable internet network, and expensive data packages. Educators must carefully prepare the material to be delivered and students must look for a stable network location. In conclusion, using Moodle as a distance learning medium is very effective, to support learning activities that cannot be carried out during the COVID-19 pandemic. The availability of infrastructure is very necessary so that learning objectives can be realized.
An Improved Simhash Algorithm for Academic Paper Checking System

In the academic paper checking system, aiming at the problems of easy loss of local information and low accuracy of the traditional Simhash algorithm in calculating text similarity, an improved Simhash algorithm is proposed around the "weighted methods" of the algorithm. Through the TF-IDF algorithm, the method of "word frequency and inverse document frequency" is used to calculate the weight of text feature words, and the text similarity is calculated according to steps. A large amount of experimental data shows that the improved algorithm not only makes the obtained text information more comprehensive, but also the accuracy of the algorithm is increased from 66.67% to 88.89% compared with the traditional algorithm, so the numerical results illustrate that the proposed algorithm is effective.
Information Technologies in Teaching the Discipline Project Management

Without introducing modern information technologies, communicational tools, the interaction of educational organizations with students and business representatives in the educational process, adequate training of future professionals who can successfully solve the tasks and develop the regional economy is impossible. The article discusses innovations in the organization and implementation of the educational process at Tver State Technical University, making the educational process as effective as possible for both teachers and students. In particular, the features and significance of the Project Management course included in the bachelor’s degree program in the direction of 38.03.01 Economics, considering the competencies specified in the new educational standard are considered. A brief overview of the stages of training in this course, the methodological foundations of its teaching to future economists are presented. Furthermore, the leading software for students to perform practical work on project management is given. Finally, examples of projects carried out by students of economics in the framework of the training course “Project Management” and its development in competencies are given.
The Interim Guidelines for Online Versions

NASIG’s theme of experimentation and collaboration is one that could also describe the Cooperative Online Serials Program-CONSER. CONSER libraries create national-level records that are shared widely and used by librarians around the world. The single-record option allows a library to note the existence of the online version on the record for another physical manifestation and to provide access to that version by using the 856 field. Because the single record cannot fully accommodate all aspects of the online version, some libraries may always find it necessary to create separate records. There are no CONSER guidelines for when to use a single record. The rapid growth of electronic resources and their continual change calls for timely decisions and approaches that cannot be set in stone.
Ethical concerns of consumers in mobile marketing

This paper investigated various ethical concerns in mobile marketing. Smartphones have become intelligent devices which store a wide range of rich detail about the owner's personal life. Third-party applications which can lead to unforeseen privacy and security risks have become a treat. The research questions: focused on privacy concerns, malware and spam and permission marketing concerns of consumers in Namibia? Positivist quantitative survey research was applied in this study. A sample size of 384 consumers were selected from the target population 500,000 in Windhoek. This study found that consumers are aware of privacy concerns in Namibia. This is similar to what was found in a previous studies. This study also found that consumers are concerned about malware and spam in Namibia, which is a general concern of mobile device users globally. Privacy concerns awareness, spam, malware filtering should become prerequisites for mobile marketing to be effective.
A Study on the Rhetorical Expansion Measures for Infographics in China’s Public Institutions

빅데이터 시대를 맞이하여 정보 과도화 와 정보 불안 현상에 대응하기 위한 방법으로써 인포그래픽이 중요해 지고 있다. 본 연구는 중국 공공기관 정보디자인에 관한 선행연구를 토대로 평가척도를 개발하고, 수사법과 표현유형에 적용하여 확장방안을 제시하였다. 이를 위해 먼저 중국 공공기관의 인포그래픽 활용을 살펴보고, 매체별 특성을 고려한 공공기관 인포그래픽의 활용전략을 제안하였다. 또한 수사법에 관한 문헌고찰을 통해 인포그래픽에 적용할 수 있는 시각 수사학의 특성을 정리하였으며 비유법, 변화법, 강조법을 기주으로 14가지 하위 수사법을 분류하고 이를 토대로 중국 공공기관 인포그래픽 사례를 분석하여 연구의 기초자료로 삼았다. 수사적 확장방안 도출을 위한 실증연구는 전문가그룹과 비전문가그룹을 대상으로 시행하였으며, 설문조사를 통해 두 집단 모두 중국공공기관 인포그래픽의 수준이 낮다는데 인식을 같이하고 있으며 해결방안으로는 정부의 정책적 지원 및 담당자 교육수준 향상을 위한 노력이 필요함을 확인하였다. 중국 공공기관 인포그래픽을 위한 매체별 평가척도어는 신뢰성 및 타당성 검증을 통해 매체별로 각각 인쇄·출판매체 6개, 웹·모바일매체 4개, 영상·애니메이션매체 6개를 도출하였다. 또한 평가척도와 수사법 및 표현유형과의 상관관계 분석을 통해 각 평가척도어들 간의 상이한 상관관계를 확인하였으며, 회귀분석을 통해 최종적으로 매체별 평가척도어에 가장 적합한 수사법 및 표현유형이 어떤 것인지 제시하였다.In the big data era, the importance of infographics is highlighted as a method to cope with the phenomena like information overload and information anxiety . This study developed the evaluation scale based on preceding researches on information design of China s public institutions, and then presented the expansion measures by applying it to rhetoric and expression type. For this, first, this study researched infographic design of China s public institutions, and then presented the strategies for public institutions to use infographics considering the characteristics of media. Also, this study summarized the characteristics of visual rhetoric applicable to infographics by reviewing the literature related to rhetoric, classified total 14 sub-rhetorics based on metaphor, change, and emphasis, and then analyzed the infographic cases of China s public institutions as the basic data of this study. An empirical research for drawing the rhetoric expansion measures was conducted targeting an expert group and non-expert group. In the survey, both groups agreed that China s public institutions showed the low level of infographics. And as the solution measures, they said the necessity to put efforts for the improvement of governmental policy-level support and the level of education for staffs in charge. Regarding the evaluation scale words of each media for the infographics of China s public institutions, this study drew six words of printing/publication media, four words of we/mobile media, and sic image/animation media through the verification of reliability and validity. Also, through the correlation analysis of evaluation scale, rhetoric, and expression type this study verified different correlations between each evaluation scale words, and finally presented the most suitable rhetoric and expression type for the evaluation scale words of each media through the regression analysis.
Evaluasi Faktor yang Memengaruhi Usability Aplikasi Thymun Menggunakan Structural Equation Model-Partial Least Square

Application development must be done by considering the usability factor of the application. Three aspects of usability measurement, namely usefulness, satisfaction, and ease of use, are latent variables that cannot be measured directly, so the appropriate analysis is the Structural Equation Model-Partial Least Square (SEM-PLS). PLS is a SEM analysis approach that does not require assumptions of data distribution and a minimum number of observations. The measurement of the usability of the Thymun application is described in two SEM-PLS models. This study aims to determine the best model and determine the effect of usefulness, satisfaction, and ease of use on the usability of the Thymun application. The data used is survey data to 44 Thymun application users. The sampling technique used was purposive sampling. The results showed that the best model has a good measure with an R-square value of 0.730 and Q2 0.453 with a Goodness of Fit 0.736. The variables of usefulness and ease of use have a significant effect on the 5% real level with path coefficient values ​​of 0.255 and 0.636. While the satisfaction variable does not have a significant effect on the 5% real level with a path coefficient of 0.058. Thymun application usability score is 76.47.
A Hierarchical Multi-label Classification Algorithm for Scientific Papers Based on Graph Attention Networks

Scientific paper classification refers to assigning one or more subject categories to papers. This task requires a lot of domain knowledge and heavy manual annotation. With the gradual increase in interdisciplinary research, a paper often has multiple categories. For instance, both Chinese Library Classification (http://www.ztflh.com/) and Engineering Village (EI) have a complete classification system, and there is a hierarchical relationship between the categories. The category of the paper has a hierarchical structure, so the paper classification can be converted into a hierarchical classification problem. However, the existing methods cannot effectively classify papers due to the following two reasons: First, these methods cannot well capture the semantic relationship between papers. Second, they neglect to model the hierarchical structure of labels. In this paper, we propose a hierarchical label attention model based on graph attention network, which utilizes word co-occurrence to model the semantic relationship of papers. We use multiple linear layers to model the category hierarchy and combine every hierarchy of labels through an attention mechanism. The experiments are conducted on CNKI (https://www.cnki.net/) and RCV1 datasets. The experimental results demonstrate that our method is superior to the other methods in the task of scientific paper classification.
Basic Types, Values, and Pointers

In this chapter, I begin to describe the Go language, focusing on the basic data types before moving on to how they are used to create constants and variables. I also introduce the Go support for pointers. Pointers can be a source of confusion, especially if you are coming to Go from languages such as Java or C#, and I describe how Go pointers work, demonstrate why they can be useful, and explain why they are not to be feared.