Reviewerly/exHarmony huggingface dataset:
MULTIMEDIA-BASED PRESENTATION AND SELF-CONFIDENCE ANALYSIS: A QUANTITATIVE STUDY ON ENGLISH LANGUAGE LEARNING OF VOCATIONAL COLLEGE STUDENTS

Technology using multimedia assistance is expected to be able to boost some changes both in the classroom atmosphere in general and individual in particular either cognitive (learning outcomes) or affective (learning attitudes). One of learning media that is well-known among users in education is multimedia presentations or Power Point which combine text, graphics, images, photos, audio, videos, and animation in an integrated manner. One of learning tools featuring those conveniences is Genially. The current study was preliminary in nature regarding the use of Genially online media presentation and to investigate with respect its influence on self-confidence among male and female students. The study focused on one skill of language in delivering selected topic or idea using English. Using a quantitative approach, this study involved 62 students consisting of 42 males and 20 females of sophomore students from one vocational college in a small city in Indonesia. To determine level of self-confidence, students were given a questionnaire responding 12 statements in 4 answer scales. Output of One Way Anova and regression test calculation showed that the use of PowerPoint Genially influenced self-confidence for both genders. Even though this media was capable to lead more pleasant and enjoyable learning atmosphere, the influence performed by the variables was considered less significant. This means that students still feel less confident to use oral English in delivering selected topics to their friends in the class.
Integrated Optical Unitary Converter based on Nonuniform Multimode Interference Coupler

We fabricate and demonstrate a monolithic InP-based optical unitary converter (OUC) with nonuniform multimode interference (MMI) couplers. Reconfigurable 4-mode sorting is experimentally demonstrated with a significantly reduced footprint compared with the conventional OUCs using uniform MMI couplers.
An Improved Model for Detecting Uniform Resource Locator (URL) using Deep Learning

In this fast growing modern technology driven world, the internet is one of the most important technology not only for individual users but also for organization and online business.Nowadays, there are phishers who steals sensitive information like username, password, credit card, personal data etc.Several researchers have design rule-base system for phishing detection which are credited to help people who cannot understand which Uniform Resource Locator(URL) is real or fake address.This paper concentrates on an improve Model for Detecting Phishing URL using Deep Learning.Object oriented Design Methodology was used for system architecture and structure.The support Vector Machine has been used to extract the actual and the visual link from the domain name system(DNS) and compare the actual link and the visual link if they are same.The system uses the Deep Learning model (Generated Adversarial Network) in tensor flow and Keras framework to classify Website URL dataset containing 3207 URLwebsites, 1037 are Real URL websites and 2137 are fake.The dataset was read from directory using the pandas.read_csvfunction.The dataset was cleaned to make sure there are no null values present.The results of the test showed accuracy of 99.8% of all input website URL classified as either Fake or Real to verify if it's actually a Fake website or Real Website.
FOLKLORE AS EDUCATIONAL ENTERTAINMENT MATERIALS IN KADAZANDUSUN LEARNING

Folklore is an ancient story that has become a special characteristic for every nation with diversity of cultures that embraces the cultural and historical richness of the nation. Usually the characters that appear in the folklore are in the form of animals, humans or gods. Generally, these folktales tell about an incident Â or the origin of a place. In this study, it focuses on the use of folklore as an educational entertainment in the classroom. The main method used to collect information is through a literature review by doing research from outside and within a country that is restricted to the educational entertainment of teaching and learning only. The finding of this study is Â that the use of folklore as a teaching material of educational entertainment can Â help students in increasing their interest and focus in the classroom. In fact, according to Rosliah Kiting, (2011), the use of storybook as a medium in Kadazandusun Language teaching and learning is able to enrich the vocabulary as well as inculcating of noble values that are very effective through adapting to the activities in the classroom. The use of folklore and the humorous elements encompassed in educational entertainment in the classroom will create excitement in learning sessions and the learning will be more interactive and Â focused.
초‧중등교육에서 블렌디드 교육으로의 전환을 위한 교사의 역량 및 지원 요구

The study sought to identify teacher competence and needs required in implementing blended learning, which has drawn great attention as a form of future learning due to the COVID-19 pandemic. To this end, a group of primary and secondary school teachers with experience in managing online classes were asked to respond to three rounds of surveys, and a literature review and case studies were carried out. The results show that teacher competence for blended learning consists of nine competencies across three categories. First, to prepare for online classes, the ability to reconstruct the curriculum by taking advantage of the characteristics of blended learning, the ability to design learning experiences for customized learning, and the ability to integrate teaching and technology were identified as essential. For the operation of online teaching, communication competence, facilitation competence and digital literacy competence were identified as essential, which included communicating with students using technical aids and the development of strategies for interaction and providing feedback. Finally, it was shown that for student evaluation, student diagnosis and monitoring abilities based on online learning activity records, big data interpretation and utilization competence, and the ability to understand and deal with fairness issues in online evaluation were identified as required. The results also show that teachers needed to develop new roles and expertise in implementing blended learning, to build digital infrastructure and human resources for schools, to establish step-by-step support systems for blended learning engagement for vulnerable families, and to form teaching, learning, and evaluation strategies with blended learning.
Generating Visualizations From GitHub

GitHub is the most popular source code repository used at the time this chapter was written. A repository on GitHub contains historical information about a project’s source code and it lets anyone contribute through commits. GitHub Actions is a service proposed by GitHub that helps you automate tasks in a software development lifecycle and therefore support continuous delivery. GitHub Actions associates an action to a particular event, which is typically executing a script at each commit or pull request. The GitHub Actions mechanism opens doors to many advanced applications, in particular producing visualizations along a software evolution.
Cybercrime / Wan Nailah Abdullah and Roshima Said

Cybercrime has been an issue which impacts the lives of many people around the world. Cybercrime is a crime which, a) is directed at computers or other devices (for instance, computer hacking), and b) where computers or other devices are integral to the offence (for instance, identity theft, online fraud, and the distribution of child exploitation material) (Australian Cyber Security Centre, 2016). Some of the most typical types of cybercrime include online scams and fraud, hacking, identity theft, attacks on computer systems, as well as prohibited and illegal online content. Cybercrime is illegal because its effects can be extremely upsetting for victims, and may go way beyond merely being due to financial reasons. The crime may cause its victims to find themselves being powerless as the result of their privacy being violated. As the modern economic reliance on technology grows, the cost and incidence of cybercrime is expected to increase in many parts of the world.
Use of Hybrid Teaching in the discipline Learning Theories: an experience in the Pedagogy Course

Social changes have transformed human relationships, and the ways of learning and teaching. Blended learning, a teaching modality that combines classroom and online activities, has been a way to adapt to this new social scenario. The main objective of this article is to identify the perceptions of Pedagogy undergraduates about the subject Learning Theories in the blended learning modality. The work reveals itself of a qualitative nature, with a bibliographic and exploratory approach and pedagogical intervention. In the first part of the research, with an exploratory approach, a questionnaire (questionnaire 1) was applied to 23 students who had taken the subject in the term before the intervention. The answers have shown: i) the need for a chance in the practices;  ii) that the use of Digital Information and Communication Technologies could make the classes become more interesting; iii) the subject Learning Theories  is a very important subject to the Pedagogue’s practice.  From the analysis of these data, the second part of the research was developed, and it was characterized by a pedagogical intervention in this subject classes, which have been mediated through a virtual learning environment (LMS – Learning Management System), Schoology, with Blended Learning, and using Active Methodologies. 21 students from the 4th period of Pedagogy course were part of this intervention. For data collection, the instruments were: observation, questionnaires and a focal group.  The results show that the intervention contributed significantly to the formation of the participants, either theoretically built knowledge, and through the practices considered innovative and inspiring by the students for their professional and academic development.
Multi-Tenant Cloud-Edge Workflow Scheduling With Priority and Deadline Constraints

The maximization of the Quality of Service (QoS) for multi-tenants is one of the key issues for cloud-edge service providers. Limited computing resources, different priorities, and deadlines of tenants make it difficult to satisfy the demands of all the multi-tenants. This paper considers the problem of scheduling limited cloud-edge resources to multi-tenant workflow applications with priority and deadline constraints. A level-based iterative greedy algorithm for the problem is proposed. The algorithm defines a priority-based multi-tenant instance success entropy to measure the total quality of service. The destruction & reconstruction and local search of the algorithm is performed based on the level of tasks. The proposed algorithm is compared to modified classical algorithms for similar problems. Experimental results demonstrate the effectiveness of the proposal for the considered problem.
DEALING WITH PLAGIARISM IN UNDERGRADUATE EDUCATION TO ACHIEVE INTELLECTUAL PROPERTY RIGHTS

We intend to reflect on a worrying issue in higher education – plagiarism, a practice that has existed for a long time but is now easier. In fact, it is worth remembering that the digital paradigm has been gaining even greater expression in the current context of a pandemic in which personal, academic, social and professional life has been predominantly reorganized digitally. This investigation is based on the concepts of Plagiarism and Intellectual Property Rights, within the framework of higher education in which the author has vast experience as a teacher who has always been concerned with instilling in students the ethical use of information, one of the aspects of Information Literacy.The methodology of this study includes a literature review, favoring good practices carried out by reference institutions in the field, such as The International Center for Academic Integrity and several universities that, in an organized and responsible manner, aim to promote an academic culture of honesty and intellectual integrity, guiding and training teachers and students. We highlight the University of Waterloo which has an Office of Academic Integrity, the Purdue University which has the Online Writing Lab (OWL), and the University of California San Diego whose website has a tab titled "Excel with integrity", all of them providing guidance, training, advice and pedagogical approaches related to academic integrity. In short, all this qualified information available on the internet, very easily, at the distance of a click, it is undoubtedly a very important help, above all, for students, to obtain knowledge and skills about what plagiarism is, ways to fight it, to achieve academic success while respecting legal issues and copyright.In conclusion, we are of the opinion that, more than punishing, Education policies should focus on training the various educational agents to fight a reprehensible and illegal intellectual act, they should clarify and clearly define important concepts related to this complex issue and should promote open debate on the subject. They must also invest resources and promote marketing policies in favor of intellectual property rights and must instill in teachers the courage to denounce and report the unethical use of information by students, even if this represents an inconvenience and an increase in work, at the bureaucratic level. Finally, it will certainly be through a collaborative work between Ministries, educational institutions, their leaders, teachers and students that the task of training for the safe and ethical use of information in an academic context will have more impact and better results.
Anonymous access control model of mobile RFID system in Internet of things

Aiming at the access control of tag privacy information and the protection of user identity privacy in mobile RFID system of Internet of things, the anonymous access control model of mobile RFID system of Internet of things is designed by combining identity encryption and attribute encryption. The anonymous access control security model is established, and the identity and attribute based authenticated key exchange protocol ib-ab-ake is designed. This paper proposes an authentication key exchange protocol between mobile RFID system and information server, while protecting the user identity privacy of mobile RFID system, the access control authentication and session key exchange of tag information are carried out according to the access control policy customized by the tag owner, to prevent illegal access to privacy information. Experimental results show that ib-ab-ake protocol is secure in the anonymous access control model, and has advantages in communication times, traffic, and computation.
영상 기반 강아지의 이상 행동 탐지

The recent increase in single-person households and family income has led to an increase in the number of pet owners. However, due to the owners' difficulty to communicate with them for 24 hours, pets, and especially dogs, tend to display unwanted behavior that can be harmful to themselves and their environment when left alone. Therefore, detecting those behaviors when the owner is absent is necessary to suppress them and prevent any damage. In this paper, we propose a camera-based system that detects a set of normal and unwanted behaviors using deep learning algorithms to monitor dogs when left alone at home. The frames collected from the camera are arranged into sequences of RGB frames and their corresponding optical flow sequences, and then features are extracted from each data flow using pre-trained VGG-16 models. The extracted features from each sequence are concatenated and input to a bi-directional LSTM network that classifies the dog action into one of the targeted classes. The experimental results show that our method achieves a good performance exceeding 0.9 in precision, recall and f-1 score.
Digitization and Digital Archiving, 2 nd ed

"Digitization and Digital Archiving, 2 nd ed." Journal of Web Librarianship, ahead-of-print(ahead-of-print), pp. 1–2
Lectura de textos literarios y filosóficos para el bienestar de la salud mental del estudiante universitario

The pandemic caused by the Coviv-19 virus has caused a global stir, since it has affected both the physical health and the emotions of human beings. For this reason, the objective of this essay was to make recommendations for readings of philosophical literary texts that could develop not only the aspect of knowledge acquisition, but also the deliberation of positive emotions in the University Education student. The theoretical foundation was based on authors such as Vieiro and Gomez (2004), Parodi (1999), Ekman (1979), Wittgenstein (2017), Goleman (1996). The reading of literary texts and philosophical texts allows to deliberate the positive emotions in the individual such as: joy, surprise, suspense and aesthetic emotions that refer to the fascination for works of art, as well as the acquisition of knowledge that develops critical thinking and helps human beings to understand their own environment.
Construction and Practice of Blended Teaching Model in the Context of Big Data: A Case Study of ESP Medical English

The arrival of the Big Data era has laid the foundation for the blended teaching.Based on the concept of blended teaching, this paper aims to improve the medical English proficiency of medical college students in Inner Mongolia through integrating network information technology with various teaching platforms and to design a blended teaching model for ESP medical English courses.This paper used empirical research methods to test the validity of the teaching model from three aspects: students' satisfaction, class participation and learning outcomes.Through empirical analysis, it was found that blended teaching model can significantly improve students' satisfaction, class participation and learning outcomes.
Connectivity and Matching

A connected directed or undirected graph has paths between every pair of its vertices and an unconnected graph has more than one component. The connectivity of a computer network represented by a graph must be maintained for correct operation. We investigate algorithms to test connectivity and discovering the components of directed and undirected graphs in the first part of this chapter. We then look at the matching problem which is finding a disjoint set of edges in a graph. This problem is basically finding the maximum number of matching edges in an undirected graph and finding disjoint edges with a maximum/minimum possible total weight in a weighted graph.
Using human skills taxonomies and tests as measures of artificial intelligence

This chapter looks at using human skills taxonomies and tests as measures of artificial intelligence (AI). It examines the strong points of computers, such as their ability to store enormous memories and access them reliably and quickly. It also reflects on weaknesses of AI systems compared to humans related to vision and manipulation, and use of natural language. It pays special attention to the limited capacity of AI to use common sense reasoning and world knowledge. In addition, the chapter looks at the ability of AI to detect subtle patterns in data as a double-edged sword. With all this in mind, the chapter proposes four consequences for testing, and looks ahead to building trustworthy AI systems.
Leveraging Expert Knowledge for Label Noise Mitigation in Machine Learning

In training-based Machine Learning applications, the training data are frequently labeled by non-experts and expose substantial label noise which greatly alters the training models. In this work, a novel method for reducing the effect of label noise is introduced. The rules are created from expert knowledge to identify the incorrect non-expert training data. Using the gradient descent algorithm, the violating data samples are weighted less to mitigate their effects during model training. The proposed method is applied to the image classification problem using Manga109 and CIFAR-10 dataset. The experiments show that when the noise level is up to 50% our proposed method significantly increases the accuracy of the model compared to conventional learning methods.
Vulnerabilidad y transformación universitaria, un análisis necesario

Briefly said, the purpose of the next article is to reflect on the emergency of boost projects of university transformation based on the analysis of the vulnerabilities, given the accelerate changes the society and the planet itself present manifesting them in the civilizing crisis, as a result of the economy model that express in all the aspects of a depredatory society and creates uncertainty in the local and global situation, as in the economy, politic, social and the environment, creates permanents challenges to the university to think again the level of compromise in the implementation of their functions. The COVID – 19 pandemic, showed the weekness that as country and universities have, reflect on this and other phenomes will lead to plan actions in the short, medium and long term, about the paradigm and the scientific projection that must be promoted.
Optimization Of Reference Services In The Covid Pandemic At Campus Merdeka Era

The COVID-19 pandemic that shook the world in 2020 has forced changes in human life. Humans are forced to find new formulas in their activities. During this COVID-19 pandemic, all activities must continue to be carried out with strict health protocols. During this pandemic, reference services are at the forefront of communication between libraries and users. In this pandemic era, libraries face such massive challenges, so libraries can no longer delay in optimizing reference services. The research method in this paper is literature review or literature study. Researchers will put forward theories about reference services related to the covid pandemic condition and within the framework of an independent campus. Optimization of reference services that can be carried out such Mobile references service; Distance education for users; Ask Librarians; Remote libraries; Research support; Video tutorials; New Flash; Collaboration. The optimization is provide user information in implementing the independent campus program.Keywords: Reference Service, Covid-19, Campus MerdekaABSTRAKPandemi Covid-19 yang mengguncang dunia pada awal tahun 2020 telah memaksa perubahan hidup manusia. Manusia dipaksa menemukan formula baru dalam beraktivitas. Dalam masa pandemi Covid-19 ini, semua aktivitas harus tetap dijalankan dengan menaati aturan yang ketat. Perpustakaan harus mengikuti peraturan dalam memberikan layanan kepada pemustaka. Layanan referensi menjadi salah satu garda terdepan komunikasi antara perpustakaan dengan pemustaka. Di era pandemi ini, perpustakaan menghadapi tantangan yang sedemikian masif, maka perpustakaan tidak lagi dapat menunda dalam mengoptimalisasi layanan referensi. Metode penelitian dalam tulisan ini adalah kajian pustaka atau studi kepustakaan. Peneliti akan mengemukakan teori-teori tentang layanan referensi dikaitkan kondisi pandemi Covid-19 serta dalam bingkai kampus merdeka. Optimalisasi layanan referensi yang dapat dilakukan antara lain Mobile references service; Pendidikan jarak jauh bagi pemustaka; Ask librarian; Remote library; Research support; Video tutorial; New Flash / glance; Kolaborasi. Optimalisasi tersebut diharapkan dapat menjembatani kurangnya informasi pemustaka dalam melaksanakan program kampus merdeka.