Reviewerly/exHarmony huggingface dataset:
Revisiting k-tuple Dominating Sets with Emphasis on Small Values of k

For any graph G of order n with degree sequence $$d_{1}\ge \cdots \ge d_{n}$$ , we define the double Slater number $$s\ell _{\times 2}(G)$$ as the smallest integer t such that $$t+d_{1}+\cdots +d_{t-e}\ge 2n-p$$ in which e and p are the number of end-vertices and penultimate vertices of G, respectively. We show that $$\gamma _{\times 2}(G)\ge s\ell _{\times 2}(G)$$ , where $$\gamma _{\times 2}(G)$$ is the well-known double domination number of a graph G with no isolated vertices. We prove that the problem of deciding whether the equality holds for a given graph is NP-complete even when restricted to 4-partite graphs. We also prove that the problem of computing $$\gamma _{\times 2}(G)$$ is NP-hard even for comparability graphs of diameter two. Some results concerning these two parameters are given in this paper improving and generalizing some earlier results on double domination in graphs. We give an upper bound on the k-tuple domatic number of graphs with characterization of all graphs attaining the bound. Finally, we characterize the family of all full graphs, leading to a solution to an open problem given in a paper by Cockayne et al. (Networks 7: 247–261, 1977).
Identification of Problems and Prospects in Library Automation: An Investigation of Modernized Libraries for Young Scientific Minds

The study examines the pre and post library automation problems in the Libraries of Private Engineering and Management Colleges of Indore city, Madhya Pradesh, India.A well structured questionnaire method was adopted to collect the primary data from librarians and other staff who is associated with automation activities.The 25 colleges that use the library automation software were selected.100 questionnaires were distributed and 82 fully filled questionnaires were received and analyzed.It was found that 59.75% respondents indicated inadequate technical expertise as a very high problem in pre-automation.And Poor Internet connectivity in post automation problem is very high.A considerable majority are of the view that automation will improve library image.
Spiral of Silence in an Algorithm-Driven Social Media Content Environment: Conceptual Framework and Research Propositions

The aim of this conceptual study is to explore the major tenets of the spiral of silence theory (i.e., fear of isolation, willingness to speak out, quasi-statistical sense) within social media environments, where users are predominantly shown content that aligns with their views and interests. In this environment of algorithmic-suggested content, the researchers offer several propositions as to how the spiral of silence tenets operate relative to the perceived anonymity, tie strengths, and the postings suggested by programmed algorithms used by social media platforms. New research directions on spiral of silence theory, social media communication, and opinion polarization are also discussed. Finally, implications for researchers, policymakers, and social media practitioners are addressed.
Teacher Content and Teaching Knowledge in New BSEd English Teaching: Problems and Strategies of Teacher Professional Development and School-based Curriculum Development

This study investigated the extent of content and pedagogical knowledge of the language teachers on the new curriculum for BSEd English to serve as bases in the preparation of a teacher's reference material. Developmental research approach with quantitative research methodology was used. It was revealed that the language teachers with doctorate degrees are very much knowledgeable of the contents of the English courses while the Master's and the bachelor's degree holders are much knowledgeable. Also, the language teachers with more than 21 years of teaching experience and those with 6-10 are very much knowledgeable of the contents of the English courses while the language teachers with 16-20, 11-15 and 1-5 years of teaching experience are much knowledgeable. The results further showed that the language teachers with doctorate degrees are very much knowledgeable of the pedagogy of the language courses while the master's and the bachelor's degree holders are much knowledgeable. The language teachers with more than 21 years of experience teaching BSEd English are very much knowledgeable of the pedagogy of teaching the English courses while those with 16-20,10-15, 6-10, and 1-5 years of teaching experience are much knowledgeable. Based on the results of the content and pedagogical knowledge of the language teachers, ateacher's reference material for Technology for Teaching and Learning 2 (TTL 2) was developed and it was revealed that it is valid and acceptable as evaluated. It is concluded that educational attainment and teaching experience are relevant in teaching a new course. TLL 2 reference material is needed to supplement in the teaching of the course and it representatively comprises appropriate and practical contents that accommodates the needs of the language teachers.
Design of a web-based learning model: Shifting the accent from knowledge transmission to knowledge construction

The aim of this work is to design a web-based learning model using learning techniques based on knowledge construction in order to increase learners’ competency in higher education.&#x0D; Since knowledge is under a change as a result of improvements in the technology, the learning approaches that levitate around students’ learning activities could be considerably improved by web-based learning environments that switched education from knowledge transmission to knowledge construction. In addition to the development of learning patterns, educational technologies are constantly expanding. Changes produced by universities, course content, quality assurance, educational leadership, cultural and ethical occurrences have to be considered in the development of web-based learning in order to meet their requirements. But even now, much of the web-based learning environments are accomplished without embedding pedagogical considerations based on learning issues and learner-centred paradigm.&#x0D; This paper analyses and states the principles that could be implemented in a web-based learning model relying on the combination of various aspects of e-learning strategies, pedagogical insights, as well managerial and technological techniques. The key point is the cognitive change that shapes learning behaviour from simple information transmission to a constructivist way. Acting as a present-day educational framework of approaches for effective web-based learning, the research presents a set of steps following the exploration of instructional context concerning learning theories and pedagogical principles of the web-based learning paradigm.&#x0D; The approaches investigated by this research are settled on the base of specific references, European recommendations, theoretical researches regarding the vision of web-based learning environments, and literature relevant case studies. The paper proposes that, as a part of the shared technology environment, more attention need to be concentrated on developing and reinforcing the collaborative and constructive web-based learning system in higher education. As well, the author brings out the lack of the researches regarding web-based learning applied in higher education of the Republic of Moldova and proposes a particular and modern web-based learning paradigm.
Strategies in Enhancing Speaking Skills of EFL Students

Speaking has traditionally been regarded as the most challenging of the four competencies required of language students. Most recent research has stressed the importance of being able to communicate well. Learners may improve their speaking abilities by using a variety of tools, owing to the widespread use of technology in today's environment. Consequently, it is vital to identify the learners' learning approaches for speaking skills in the new learning setting. This study looked at the most widely utilized language learning approaches for enhancing speaking ability. The papers were published between 2017 and 2021 and were located in ERIC and Google Scholar. The basis for this study is PRISMA 2020. According to the research, metacognitive and cognitive tactics were the most often utilized approaches for improving speaking abilities, followed by compensatory and social procedures. Memory and emotional tactics were the least popular approaches among students. The results may help instructors choose the most successful teaching strategy for their students in today's learning environment. Future research might include a detailed study of learning approaches for various educating abilities.
Perancangan Aplikasi Presensi Karyawan Berbasis Mobile Dengan Qrcode Dan Otentikasi Biometrik

The level of performance can be assessed through the level of attendance of employees of a company, attendance is one of the parameters in evaluating employee performance. Several companies or government agencies will always maximize facilities in supporting their work activities, including the employee attendance system. Unfortunately, not all agencies or companies can implement the system properly. Some of them still use the traditional way of recording attendance. This of course can cause some problems both in terms of users or data management, especially if the number of users who make attendance is very large. In addition to data management problems, other problems such as an authentication system that is less secure and prone to fraud can occur. The purpose of this study is to design and implement an android application to make it easier for users to carry out the presence process that is installed on registered devices with the support of scanning a QR code that is generated randomly for each session with biometric authentication support to ensure only verified users run the application. Based on the statement, the application of application-based presence can speed up users in carrying out the presence process with just a few steps, and increase security and user validation.
Pemanfaatan Prinsip Personalisasi Belajar dalam Pembelajaran Daring pada Mata Kuliah Designing E- Learning

The utilization of learning personalization principles in online learning for Designing E- Learning Course intended to create a personalize online course by utilizing the principles invented by Margaret Martinez and David A Wiley on Instructional Use of Learning Object book. In which its application represented in Designing E- Learning course. &#x0D; This research is applying Rapid Prototyping method consisting of 5 main stages which are: Assess Needs and Analyse Content; Set Objectives; Construct Protoype; Utilize Protoype; Install and Maintain System, that are only conducted to install without maintain system. &#x0D; This research has been reviewed by instructional designer expert with score 3.8, instructional media expert with score 3.6, and materials expert for Designing E- Learning course with score 3.8, in which each review received “Very Well” credit with minor adjustment needed. The review from users also received a “Very Well” credit with average score is 3.73
Construction of Public English Curriculum System Based on Cloud Interactive Teaching Mode and Cloud Computing

English teaching can be divided into two complementary ways: classroom teaching and neural network autonomous learning, namely, physical English teaching and virtual English teaching. On the cloud interaction and cloud computing platform, teachers upload teaching resources, and students can view learning resources, submit assignments, and interact through mobile terminals such as mobile phones, notebooks, and iPads, so as to achieve all-round teacher-student interaction that breaks through time and space constraints and create a “live” classroom for ubiquitous English learning. This paper constructs a public English curriculum system based on the “cloud interaction” teaching mode. This model fully combines the actual English level of students and adopts practical teaching methods in both classroom introduction and classroom teaching. The model lets students easily integrate into regular learning activities, interpret language on the examples and life fragments around students, and accept language naturally and improves the effect of language teaching.
Essential Competence as a Determiner of Learning Media Development in Network-Based on 3D Augmented Reality in the Pre-Teacher Civil Engineering Education Study Program

The purpose of this study was to determine and apply (1) the Augmented Reality (AR) development process; (2) AR model design; (3) application of AR technology; and (4) the results of AR development that can be used as a support for learning methods in the Building Engineering Education Study Program for the implementation of the 2020 curriculum. Adequate teaching materials are needed so that prospective professional teachers can quickly learn learning materials using the latest learning facilities and meet the demands of 21st-century learning. The main material that must be mastered by prospective professional teachers of the Construction and Housing Engineering Expertise Program include statics, building construction, construction drawings, and construction management. The number of materials contained in each main material requires mapping of essential competencies that must be mastered by prospective professional teacher students as the basic material for learning the Construction and Housing Engineering Expertise Program. The essential competencies that have been identified are used as materials for developing 3D AR-based learning media that can be delivered online so that they can be accessed by students without being limited by the dimensions of space and time. The results of the development of learning media will make it easier for prospective professional teacher students to learn the main content.
Machine Learning for Masked Face Recognition in COVID-19 Pandemic Situation

In the current epidemic, the whole world is suffering with the infectious disease i.e., Corona Virus Disease (COVID-19). It is important to wear a mask to minimize the transmission of the disease. When everyone is wearing a face mask, it is difficult for recognition systems to recognize the masked face of a specific person. As some of the facial features are covered behind the mask e.g., mouth and nose. Therefore, the face-recognizing systems are inefficient to recognize the masked faces. To solve this issue, a face recognition system is proposed to recognize masked and unmasked faces. Support vector machine (SVM) and Random Forest (RF) based classifiers are trained on the specific dataset and classifiers effectively recognize the masked and unmasked faces. The classifier recognizes the human facial features such as eyes, eyebrows, forehead, ears, and hair. The dataset is collected in the form of images for 28 classes with and without a face mask. The trained system will recognize the person, whether the person is wearing a mask or not. The recognition accuracy is approximately 98.2% for different classes and the proposed recognizer is also compared with the state of art existing techniques.
Algorithmic Governance in Computational Antitrust—a Brief Outline of Alternatives for Policymakers

Computational antitrust consists of empowering competition authorities with modern techniques of artificial intelligence (AI), machine learning (ML), big data and associated solutions in the hope of enhancing antitrust enforcement and equipping it to deal with the dynamics of increasingly digitized markets. However, such power may come with risks of crossing the red lines posed by constitutional and public law requirements that limit and balance State discretion, such as fundamental due process rights, equity, and personal data protection. In this article, we explore some contributions from the algorithmic governance literature to help mitigate those risks and safeguard future computational antitrust solutions.
THE IMPLEMENTATION OF EXTENSIVE READING PRINCIPLES IN AN EXTENSIVE READING CLASS: STUDENTS’ PERCEPTIONS

For running a successful extensive reading (ER) program, Day and Bamford’s ten ER priciples becomes “key ingredients” (Ng, Renandya, and Chong, 2019. P. 172). This study is aimed at revealing EFL students’ perceptions toward the use of the ER principles in their ER class. To achieve the aim, a questionnaire was distributed to 39 students from English Language Education Program, Universitas Kristen Satya Wacana. Besides, an interview to 10 student-respondents was also conducted. The collected data was then analyzed by classifying them under several themes, creating descriptive statistics, and extracting transcripts of the interviews. The results revealed that EFL student-participants agree that the ER course has applied all ten ER principles. How the ER principles were employed in the course and how they could enhance both students’ linguistic and nonlinguistic competences are also discussed in this paper.
Implementation of FPS Based Electronic Voting Machine Using GSM and Hex Key Pad

The base of democracy is voting. Each vote is important thus recording and tallying of each vote with accuracy and impartiality is important. Voting is one of the electoral routes that ensure the sustenance of democratic system in any civilization. But rigging is one of the biggest problems during the election using EVMs. The possible rate of rigging in the EVMs is five votes per minute. So, to set right the current problems in Indian voting system the aim of electronic voting system using fingerprint technique is to design an Electronic Voting Machine (EVM) system by using embedded system to eliminate the chances of rigging in an election. In this proposed system fingerprint technique is used. The vote will be confirmed in the favor of a candidate only when the fingerprint of the voter will be matched otherwise the vote will be rejected. The problem of booth capturing and multiple votes casted by single person is being addressed here. User would be able to get the message in his/her cell phone in order to ensure and acknowledging the successful casting of vote like VVPAT do in EVM. We can do on spot registration of the voter as well if candidate does not have finger print data available in EVM.
Model Agile Scrum untuk Pengembangan Aplikasi Penerimaan Mahasiswa Baru

SCRUM is one of the agile developments with a focus on fast processes. Scrum's ability to quickly adapt to changes in accordance with the conditions of university which requires a New Student Admission application amid the current dynamics of the current condition in the midst of the Covid-19 pandemic that still sweeping the world so that almost all activities are carried out digitally, including the registration process and new student admissions. The agile scrum method used in developing new student applications is done by building an analysis that can help make it easier for prospective new students to carry out the registration process and make it easier for the admissions department to process new student data. The goal is to simplify data processing more optimally and effectively and the registration process is faster and easier. The final result of this research is an application for new student admissions with the features needed by users based on the product backlog and will become the backbone of the new student registration process at university.
Vulnerability of the Dynamic Array PIN Protocol

We recently proposed the Dynamic Array PIN protocol (DAP), which is a novel approach for user authentication on Automated Teller Machines. DAP replaces bank cards with smartphones that support Near Field Communication (NFC) and allows a user to enter his PIN code in a secure way. We showed that DAP is resistant to 13 different attacks and is therefore better and more cost effective than several other solutions from the literature. However, after carrying a deeper analysis we found that DAP is vulnerable to a complex attack that might lead to unauthorized transactions on ATMs if the user smartphone and his PIN code are both stolen. In this paper we expose how the user PIN code can be discretely discovered using multiple eavesdropping videos or camera records. We also propose several fixes for this vulnerability.
The Institutional Tragedy of Pandemic Triage Regulation in Italy and Germany

This article adopts a comparative approach exploring the reactions to the scarcity of resources resulting from the Covid-19 pandemic in Italy and Germany. Both countries showed a fragmented structure including individual hospitals, medical associations and recommendatory interdisciplinary bodies, such as ethics councils. Against this background, the authors use the different constitutional frameworks in which the healthcare systems are embedded to assess the legitimacy of the intervention by non-legislative bodies. It is demonstrated that, in both jurisdictions, a certain level of parliamentary involvement in establishing triage criteria or procedures is constitutionally required, as in situations of extreme scarcity the prioritisation decision cannot be determined by a mere clinical analysis but rather demands a normative choice.
Deep Learning-Based 3D Shape Feature Extraction on Flash Animation Style

Flash animation, as a kind of digital learning resource, is an important media for delivering information content, and more importantly, it is an important online learning resource with text, graphics, images, audio, video, interaction, dynamic effects, etc. Flash animation, with its powerful multimedia interaction and presentation capabilities, is widely used in distance education, high-quality course websites, Q&amp;A platforms, etc. With the continuous development of deep learning, the 3D shape feature extraction method combined with deep learning has become a hot research topic. In this paper, we combine deep learning with traditional 3D shape feature extraction methods, so that we can not only break the bottleneck of nondeep learning methods but also improve the accuracy of 3D shape data classification and retrieval tasks, especially in the case of non-rigid 3D shapes. The scheme in this paper not only does not require a large number of training samples but also its feature extraction for flash animation is accurate. Experiments show that the success rate of accurate feature extraction of this paper’s scheme is higher than that of the state-of-the-art methods.
Implementation of Credit Card Fraud Detection Using Random Forest Algorithm

Abstract: Credit card fraud processing is presently the most frequently arising problem in the present world. This is due to the rise in both online transaction and ecommerce platforms. To detect these fraudulent activities the credit card fraud detection system was introduced, this project main aim is to focus on the machine learning algorithms. The voting based classification algorithm approach is applied for credit card fraud detection. We use different types of classification algorithms such as SVM, Naïve bayes and Random forest. We consider their results based on confusion matrix for the above classification algorithms. We analyze their performance based on accuracy, precision, recall and f1-score. We compare random forest algorithm with other algorithm. We considered random forest algorithm has greatest accuracy, precision, recall and F1-score, considered as the best algorithm that is used to detect the fraud. Keywords: Fraud detection, Naive Bayes, SVM, and Random Forest.