Reviewerly/exHarmony huggingface dataset:
Framework of Digital Competences for Business and Management Programs in Higher Education

Higher education programs in business and management should prepare students for managerial decision making and business leadership not only for the current context of a company’s operations and strategy but also for that of tomorrow. To manage projects, processes, people, the knowledge of digital technologies is indispensable not only at the level of a basic user, but also at more advanced levels. Yet, the pilot study, conducted as part of this research, indicated that some business and management programs of European universities do not set the development of digital competences as a public priority direction. Therefore, it is important to focus more not only on digital competences, but also on the development of various tools and frameworks for the advancement of digital skills in IT-unrelated programs. The aim of this study was to create a framework of digital competences, including competence levels, for the students of business and management university programs by reviewing and mapping two EU frameworks – DigComp and DigCompEdu. The framework is suitable for the assessment of digital skills related to work and employability of learner managers in higher education contexts in the era of digital transformation.
A Plethoric Literature Survey on SIMBox Fraud Detection in Telecommunication Industry

SIMBox or Interconnect Bypass Fraud is one of the most rapidly emerging frauds in today's telecommunications industry, costing the industry between $3 and $7 billion USD in annual revenue losses.This was spread as a result of calls made over the internet and routed to SIMboxes (machines that contain SIM cards) that redirect illegitimate VoIP traffic onto mobile networks.Fraudsters effectively avoid the inter-connect toll charging points by exploiting the difference between the high interconnect rates and the low retail price for on-network calls, thereby avoiding payment of an Operator's or MVNO's official call termination fee.This paper is a fact-finding type that investigates the impact of SIMBox fraud on the telecom industry and the economic development of nations.By disclosing the fraud detection approaches used for its abolition and identifying their flaws.For this study, a quantitative method was used.The study's literary material spans the years 1994 to 2021.
Enriching Students’ Vocabulary Mastery through English Spelling Bee Games

This research aims to enriching students vocabulary mastery by using spelling bee games. The population of this research was the seventh grade students of SMP Negeri 15 Kota Bengkulu with consisted of 180 students into seven classes, namely VII A – VII F. After ensuring with the purposive sampling, two classes were finally chosen as the sample of this research: VII D as the experimental class and VII E as the control class. Both of classes consisted of 30 students with almost homogenous score. This research had been conducted at SMP Negeri 15 Kota Bengkulu. This research employed a Quasi-Experimental method. The Experimental class treated by using Spelling Bee strategy, while the control class was using the conventional ways. The pre-test was given to the two groups before giving the treatment. The result of pre-test showed the mean score of experimental class was 60.17 and the control class was 59.83. After giving the treatment, post-test was given. The result of post-test showed the mean score of experimental class was 76.00 and the control class was 69.83. in addition, the result of independent sample T-test (0.094) showed that t-count was smaller than t-table (2.00172) and sig (2-tailed) was higher than 0.05 (0.925 &gt; 0.05). In other words, Ho was accepted and Ha was rejected. In summary, it could be stated that students’ who were taught vocabulary by using Spelling Bee was more effective than using the conventional ways. So, it can be concluded that Spelling Bee has positive effect to the Seventh Grade Students’ at SMP Negeri 15 Kota Bengkulu in vocabulary Mastery.
Pembangunan Sistem Informasi E-Voting Pada Universitas XYZ

An organization is a group of people who have a common goal, where everyone has the same goals so that they are combined and are expected to achieve goals together. The organization itself has a membership structure that functions to divide the tasks of each individual and each organization has a leader who functions to regulate the running of the organization. At XYZ University, there are various organizations that all students can participate in. The head of the organization is chosen from the election activities held every year to continue the baton of management. There are several obstacles experienced when conducting election activities, namely, election activities are carried out offline, due to pandemic conditions so that election activities cannot be carried out, there are many invalid ballots, and also the vote-counting process which takes quite a long time. In addition to obstacles during the election, election activities also cost quite a lot to print ballots and so on to launch elections. Therefore, this research was conducted by building an e-voting information system. The e-voting system itself has several advantages compared to elections conducted offline. It is hoped that the e-voting system can reduce errors made in offline elections. The system development uses the Personal Extreme Programming (PXP) method using the Laravel framework. It is hoped that the system built can assist the voting process in election activities at the XYZ University.
Foreword to the special section on SIBGRAPI 2021

• Foreword to the special section on SIBGRAPI 2021. • We had 33 submissions to this special track with an acceptance rate of 24%; • Selection of two best papers from SIBGRAPI 2021 Main Track.
Development model of IASEE in basic painting art learning, based on glass box

The background of this research is the use of learning models which is not optimal in developing students’ creative abilities rationally and logically to create paintings in learning basic painting in Higher Education. The research objective is to develop a valid, practical, and effective model of IASEE Basic Painting Learning Based on Glass Box. This development research uses a 4-D development model (four D models), the stages are definition, design, development, and deployment. Disseminate). The research subjects were 20 students of the Arts Faculty, Universitas Negeri Padang. Data collection techniques in this study used instruments in the form of interviews, questionnaires, and tests to obtain the validity, practicality, and effectiveness of the developed model. The collected data is analyzed for validity, practicality, and effectiveness using a predetermined formula. The results of the development of the IASEE Basic Painting Learning Model Based on Glass Box are in the form of products, namely 1) Model Books; 2) Instruction Books, and 3) learning modules. After going through the process of defining, designing, and developing the model, the research results were obtained in the form of a Learning Model that meets the elements of validity, practicality, and effectiveness.
A review paper on bubbling nature of crypto currency

The scholarly research on the development of price bubbles in digital currency marketplaces is reviewed in this article. According to studies, Bitcoin values went through numerous bubble stages, the most recent of which occurred. Other major digital currencies, such as Ethereum and Lit coin, have gone through numerous bubble periods as well. The most often used methods for bubble identification and measurement are the Augmented Dickey Fuller (ADF) and Log-Periodic Power Law (LPPL) methodologies. According to scholarly research, Bitcoin has been in a capsule stage from June 2015, while Blockchain, NEM, Stellar, Ripple, Lit currency, and Dash have been labelled as possessing bubble-like characteristics since November 2015. However, that the latter grouping has been lacking academic evidence to prove the presence of bubbles since early 2018. A thorough reference list is provided based on considerable differences between market citation marks and foundational beliefs, which may be used as a reference for policymakers, scholars, and investors.
Retraction: Secure Ring Signature based privacy preserving of Public Auditing mechanism for outsourced data in cloud computing paradigm (J. Phys.: Conf. Ser. 1916 012079)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
The effect of the shaw English online channel on the EFL students’ speaking ability

This study aims to investigate whether or not the learning strategy using YouTube videos from the Shaw English Online Channel is effective on students' speaking skills in asking questions and giving opinions. This research was conducted at Islamic Senior High School 2 North Bengkulu. The method applied in this research was quantitative with a quasi-experimental design. The total sample used for this study was 70 students consisting of 35 students from the eleventh grade of natural sciences class 1 (experimental class) and 35 students from the class eleventh grade of natural sciences class 2 (control class). The instrument in this study was an online oral test and the data was the students' pre-test and post-test scores which were calculated and analyzed using SPSS 26 software. Then, the results obtained were used to determine whether there was an effect given by variable x to variable v. In conclusion, the use of learning strategies using media from the Shaw English Online Channel is effective to improve students' speaking skills in asking questions and giving opinions to eleventh-grade sciences students at Islamic Senior High School 2 North Bengkulu, the academic year 2021.
The Significance of Blockchain Governance in Agricultural Supply Networks

Firms in the agri-food sector have started implementing blockchain technology to both provide transparency over the supply chain transactions and to make trust attributes visible to consumers. Besides the well-known public blockchains such as Bitcoin and Ethereum, private- and consortium-type blockchain platforms exist. The latter ones are being operated in the agri-food ecosystem contributing to the vertically cooperated supply networks that are coordinated by a focal firm. Stakeholders’ attitude and behavioral intentions toward the use of the blockchain technology impact their use behavior. The results show that permissioned blockchain governance mechanisms with consensus and incentives to motivate stakeholders are lacking in private and consortium blockchains. This study closes a research gap as understanding how the stakeholder management approach can compensate for the lack of consensus mechanisms can provide managerial guidance toward the development of an effective stakeholder management strategy, which eventually can be provided for a competitive advantage. As there is little research on the role of blockchain as a novel governance mechanism, this research will contribute to the scholarly discussion toward a common understanding.
Social Engineering Attacks in E-Government System: Detection and Prevention

Purpose: E-Government system emerged as a novel public service provision platform that enables governance in an efficient and transparent manner globally. However, despite the success recorded so far by the increase in the use of information and communication technology (ICT) and E-government for public service provision. Social engineering attack (SEA) is one of the challenging information security attacks that prove to be difficult to tackle. This is because the attackers leverage on peoples’ weakness to exploit the system instead of technical vulnerabilities. Design/Methodology/Approach: This paper uses PESTLE (political, economic, social, technology, legal and environment) analysis to critically evaluate the external factors affecting SEAs in E-government system. Findings/Result: The study identified phishing, Baiting, Pretexting, Quid Pro Quo, Honey Trap, Tail Gating, and Pharming as the major SEA techniques used to exploit E-government systems. Furthermore, the author suggest training and awareness programme as the most effective way to detect as well as prevent SEA in E-government system. Users should be aware of the languages with terms requesting urgent response as well as unusual or unexpected situation in a suspicious messages or attachment as factors to detect SEA. Technical controls using natural language processes (NLP), security policies, multifactor authentication (MFA) as well as secured preservation of confidential information from suspicious users are some of the SEA preventive measures. Originality/Value: A flexible and efficient interaction among citizens, businesses and government organizations is a critical factor for successful E-Government system. SEA is one of major challenges affecting communications in E-government system that requires attention. In conclusion, studies toward technological approach for solution of SEA in E-government is recommended. Paper Type: Conceptual Research.
Intergenerational Alienation of Emoji Used in Social Contexts: A Case Study of the Wechat Platform Based on Goffman’s Dramaturgical Theory

With the advent of Web 3.0 era, the contemporary youth group represented by college students grew up in the environment of rapid development of the network society, accustomed to social media as the main social platform of social media, and used social media to build and disseminate the unique subculture of the youth group.They are well aware of the importance of the use of picture symbols such as Emoji in virtual society, and have developed a unique community code with the help of Emoji.This obvious intergenerational difference in social culture is particularly evident on WeChat, a social media platform.In particular, the alienated use of "smile" Emoji by youth groups in online virtual social networking is a good entry point for observing intergenerational social cultural differences and commonalities.Despite the efforts of youth groups to deconstruct existing social patterns and practices with new technological power and media environments, they have to compromise in the real social process, constrained by social patterns such as "Working Consensus" and "Impression Management".The alienated use of "smile" Emoji is an important example to interpret the contradictory social culture of youth groups.This study will intervene in WeChat, a special Chinese virtual social field, and use Goffman's dramaturgical theory to interpret and analyze the cultural motivation behind the alienated use of "smile" Emoji by young groups.
United Monoids

Graphs and various graph-like combinatorial structures, such as preorders and hypergraphs, are ubiquitous in programming. This paper focuses on representing graphs in a purely functional programming language like Haskell. There are several existing approaches; one of the most recently developed ones is the "algebraic graphs" approach (2017). It uses an algebraic data type to represent graphs and has attracted users, including from industry, due to its emphasis on equational reasoning and making a common class of bugs impossible by eliminating internal invariants. The previous formulation of algebraic graphs did not support edge labels, which was a serious practical limitation. In this paper, we redesign the main algebraic data type and remove this limitation. We follow a fairly standard approach of parameterising a data structure with a semiring of edge labels. The new formulation is both more general and simpler: the two operations for composing graphs used in the previous work can now be obtained from a single operation by fixing the semiring parameter to zero and one, respectively. By instantiating the new data type with different semirings, and working out laws for interpreting the resulting expression trees, we discover an unusual algebraic structure, which we call "united monoids", that is, a pair of monoids whose unit elements coincide. We believe that it is worth studying united monoids in their full generality, going beyond the graphs which prompted their discovery. To that end, we characterise united monoids with a minimal set of axioms, prove a few basic theorems, and discuss several notable examples. We validate the presented approach by implementing it in the open-source *algebraic-graphs* library. Our theoretical contributions are supported by proofs that are included in the paper and have also been machine-checked in Agda. By extending algebraic graphs with support for edge labels, we make them suitable for a much larger class of possible applications. By studying united monoids, we provide a theoretical foundation for further research in this area.
Weakly Supervised Word Sense Disambiguation Using Automatically Labelled Collections

State-of-the-art supervised word sense disambiguation models require large sense-tagged training sets. However, many low-resource languages, including Russian, lack such a large amount of data. To cope with the knowledge acquisition bottleneck in Russian, we first utilized the method based on the concept of monosemous relatives to automatically generate a labelled training collection. We then introduce three weakly supervised models trained on this synthetic data. Our work builds upon the bootstrapping approach: relying on this seed of tagged instances, the ensemble of the classifiers is used to label samples from unannotated corpora. Along with this method, different techniques were exploited to augment the new training examples. We show the simple bootstrapping approach based on the ensemble of weakly supervised models can already produce an improvement over the initial word sense disambiguation models.
The Influence Of Parents In Increasing Learning Motivation On Student Achievement (Children)

&lt;p&gt;&lt;strong&gt;&lt;em&gt;This research formulates the problem of The Influence of Parents in Increasing Learning Motivation Towards Student Achievement (Children) At Mts Miftahul Ulum, Research is carried out at Madrasah Tsanawiyah (MTs) Miftahul Ulum Cikarang Bekasi which amounted to 33 students who were designated as members of the population who were also sample members after the withdrawal of samples with saturated sampling techniques, so that data was obtained using instruments for analysis with inferential statistical techniques correlational effectiveness test. As for the students numbered 135 students for the entire population, but the authors only took samples from class VII.as a sample. The results showed that parents' motivation for their children was the highest accumulated data by 55.52% of respondents choosing categories often, so it can be concluded that students generally claim that their parents' motivation is very high in fostering their children. Student learning achievement was obtained an average of 74.96 which if interpreted according to the average categorization table of student grades then contained in the high category. Thus, H0 was rejected and H1 was accepted which means that parental motivation has a significant effect on student achievement in English in Madrasah Tsanawiyah (MTs) Miftahul Ulum Cikarang Bekasi. &lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;
Librarian 4.0 digital competency system

The article suggests the concept of the systematic approach to the formation of a list of the Bachelor's in Information, Library and Archives general and professional digital competencies. It grounds the model of their cross-platform (cross-platform) content's formation as well as the teaching methods formation of all library science graduate programs educational components. The study provides characteristics of the main types of the Library 4.0 digital technologies, identifies the modern trends of their development in the foreign practice of library and information services for users. The most developed among them are considered to be mobile library sites and other mobile applications, identification technologies, cloud and 3D technologies, augmented and virtual reality technologies, predictive analytics methods, the Internet of Things, robotics and cyber systems, artificial intelligence, Big Data, and paperless technologies. It is stated that in the conditions of the digital economy development, the criterion for the formation of a modern librarian digital competencies system is the “digital intelligence” to be the three basic components unity: "digital citizenship", "digital creativity", and "digital entrepreneurship". Regulated by the educational standard of Ukraine at the first (undergraduate / bachelor degree) level in specialty 029 "Information, Library and Archives", the digital competencies standard minimum is proved to be expanded and deepened in line with the international recommendations of the Organization for Economic Cooperation and Development, having developed the global competencies framework for the career to start in 2030.
Implementation of Iterative bilateral filtering for removal of Rician noise in MR images using FPGA

Magnetic resonance image noise reduction is important to process further and visual analysis. Bilateral filter is denoises image and also preserves edge. It proposes Iterative bilateral filter which reduces Rician noise in the magnitude magnetic resonance images and retains the fine structures, edges and it also reduces the bias caused by Rician noise. The visual and diagnostic quality of the image is retained. The quantitative analysis is based on analysis of standard quality metrics parameters like peak signal-to-noise ratio and mean structural similarity index matrix reveals that these methods yields better results than the other proposed denoising methods for MRI. Problem associated with the method is that it is computationally complex hence time consuming. It is not recommended for real time applications. To use in real time application a parallel implantation of the same using FPGA is proposed.
FUSING CENSUS AND MC-CNN COST VOLUMES FOR STEREO MATCHING

In stereo matching applications Semi-Global Matching (SGM) is a highly preferred technique.SGM method accepts a cost-volume that represents the distance or similarity measurements for user defined disparity range and applies penalties to the cost-volume to support smoothing during stereo matching.In this study we aim to improve the performance of SGM by fusing two different cost-volumes (Census+MC-CNN) together.By introducing deep learning as a cost-volume, the advantages of these two different cost-volumes support each other to generate a better resulting cost-volume before applying the smoothing operation.Our results show that the fused cost-volumes improve the stereo matching performances of almost all of the benchmark stereo images tested.