Reviewerly/exHarmony huggingface dataset:
Introduction and Preliminaries

In this chapter, we will discuss the basic understanding of contact tracing software and the related cryptographic techniques. The underlying models of computation and communication will be explained. A standard smartphone can be considered as the basic device and there will be communication among those devices using Bluetooth technology. The data transfer between the mobile device and the backend server (might be controlled by governmental authorities) will be taken care of by the standard data communication channel provided by the service provider. Social issues related to privacy will also be touched upon in this introductory chapter.
Influence Optimization Feature Against Liver Disorders Diagnostic Results Using Artificial Neural Network

The diagnosis is a classification of a person based on a disease or abnormality . One classification technique that can be used is Artificial Neural Networks. ANN is an information processing system that has characteristics similar to human nerves, in ANN training data is needed in learning. The learning process in Artificial Neural Networks related to the length of time the learning is done. One way to reduce computing time can be done with the selection feature. In this study, an analysis of the results of the diagnosis of liver disorders using Artificial Neural Networks with feature selection and without feature selection. The test results show that the accuracy of the data obtained by performing feature selection tends to be more stable when compared to the value of data accuracy without feature selection. Besides the learning time required by the data that do feature selection tends to be faster than data that does not do the feature selection.
Attitudes and Language Politics of Management of Student Institutions Faculty of Languages and Literature State University of Makassar

Attitudes and Language Politics of the Management of Student institutions Faculty of Languages and Literature State University of Makassar. This study aims to: 1) examine the language attitudes practiced by the management of the student  at the Faculty of Language and Literature State University of Makassar; and 2) examine the politics of language practiced by the management of the student of the Language and Literature Faculty of State University of Makassar. This research is a qualitative study using a qualitative descriptive research design. The subjects in this study were the management of student organizations at the Faculty of Languages and Literature, State University of Makassar. The object of the research is the attitudes and language politics practiced by the management of Student Organizations. The data analysis model used in this study, adopting an interactive data analysis model consisting of four activity lines, namely data collection, data reduction, data presentation, and conclusion drawing. The results of this study indicate that the diction used by the management of student organizations has its own strengths that can become encouragement and even indoctrinate other students to take action.
COSMOSTRUCT URAL MODEL OF THE MALGUZAR MOUNTAINS FOR ORE BEARING DATA PROCESSING ON THE LAIYAGUN MINERALIZED ZONE

Analysis of geological prospecting, geological surveying, geochemical and other materials of the territory of the Malguzar Mountains allows us to note that here the ore-bearing formations are Silurian formations (sandstones, gravelstones, shales), crumpled into folds, which are complicated by a series of faults of north-west strike, zones of splitting and etc. These structures are rectilinear, their zone is characterized by the presence of small fracture structures, areas of swellings (Liyagun mineralized zone) and splits (Ardakshan area). The reason for these swelling and splitting, where gold mineralization is noted, remains not fully studied. The importance of studying these features of ore-controlling faults is determined by the confinement to their zones of gold mineralization and geochemical halos of the main 5 ore chemical components. Consequently, the identified ring structures of the Malguzar Mountains are signs of deep granitoid magmatism, with which gold ore mineralization is genetically related. In the course of the study, linear structures of northeastern striking were established, which, together with northwestern and sublatitudinal faults, form the block structure of the study area
THE PRINCIPLES OF SELECTION OF THE CONTENT OF DESIGN EDUCATION FOR THE COMPETENCE-BASED TRAINING OF STUDENTS WITH DISABILITIES

The modern sociocultural environment puts forward requirements for ensuring equal opportunities for vocational education for active members of the society. The established requirements for the organization of the educational process in mixed groups, including normo-typical students and students with disabilities, indicate the need to search for new methodological approaches to ensure the successful implementation of vocational education. The article highlights the problem of choosing didactic components of practice-oriented content for teaching students with disabilities. The aim of the work was to identify the principles of new didactics, which make it possible to adapt the structure of basic design education to the special educational needs of students and to optimally organize educational activities in a mixed group without losing the quality of professional development and an increase in general competencies. The article provides some of the fundamental meanings of design practice, which make it possible to find permits for the introduction of inclusive methods in the system of special-purpose training programs. The approaches to the formulation of combined tasks are disclosed that allow the variability of equivalent design solutions of different levels of complexity. New approaches to the choice of methodological and didactic techniques were determined in the course of a pedagogical experiment, using elements of a longitudinal study. The author gives examples from the experience of training students in secondary vocational education in mixed groups, points out aspects that have a particular impact on the achievement of equal positive results by students, names the methods of formulating practical tasks that minimize the difference in time spent by students with different abilities. The conclusion about a sufficient basis for the chosen direction of methodological and didactic support was made on the basis of signs of positive dynamics of mastering the techniques of project design activity by students with disabilities.
Role and essential characteristics of inspiring and innovative teachers to manage knowledge

Higher education today requires inspiring and innovative teachers capable of transforming the landscape of higher education, through methodologies and techniques of pedagogical mediation that transform the personal, social and economic lives of students, therefore, these professionals are called to question the current educational models considered successful, from a perspective of assessing whether they are effective in the face of technological and pedagogical innovations, analyzing changes in the technological, social and economic behavior of students, product of the digital era of the 21st century.The objective is to define the role and the characteristics of the inspiring teacher in the learning process, through research on the concepts and variables to which they refer, that allow the development of skills and competencies through the experience of current and future challenges of student.The role and characteristic of the inspiring teacher is essential to exercise different functions aimed at accompanying the student in the learning process, and in the development of professional and personal skills and competencies.It is necessary to take the role of advisor, evaluator, challenge designer and professor, professional and personal aspects of inspiring, updated, participatory, innovative, and user of IT.
Mathematical modeling for awareness, knowledge, and perception that influence willpower to pay tax using multiple regression

Abstract One effort to increase revenue is to increase the source of funds obtained from within the country, namely taxes. The taxpayer’s willingness in their tax payments is essential to optimize tax revenue, so it needs a particular study on this matter. This study discusses the factors that influence the willingness to pay taxes for private taxpayers using multiple regression. The model of willingness to pay taxes through 3 variables, namely: awareness, knowledge, and perception of taxpayers. The study location in Lampung Province was divided into five regions based on the tax office that sheltered it. The samples were taken 100 respondents through a questionnaire with a stratified random sampling technique. The regression model in this study gives significant results for all independent variable coefficients. The variable that has the most significant effect on the willingness to pay taxes is the awareness variable with p-value &lt; 0.05. Stakeholders have to improve awareness, knowledge, and perception to increase state tax revenue.
PROBLEMS OF FORMATION OF PROFESSIONAL COMPETENCES OF LIBRARY SPECIALISTS NECESSARY TO WORK WITH OBJECTS OF MUSEUM SIGNIFICANCE IN LIBRARIES

The article outlines some problems of the formation of professional competencies of library specialists necessary for working with objects of museum significance in libraries. The analysed problems have been caused by absence in the curriculum for the specialty «1-23 01 11 Library and Information Activities (by specialties)» of disciplines directly aimed at the formation of the designated competencies. The article indicates the necessity of introduction into the educational process of an optional discipline «Organization and Technology of Work with Museum Collections of Libraries» at the Faculty of Information and Documentary Communications of the Educational Institution «Belarusian State University of Culture and Arts».
Reflexiones sobre los desafíos que enfrenta la educación superior en tiempos de COVID-19/Reflections on the Challenges that Higher Education Faces in Times of COVID-19

RESUMEN La  presente  contribucion  tiene  como  proposito  realizar  una  reflexion  sobre  la  nueva  situacion epidemiologica  que enfrenta la educacion superior. Se analiza el desarrollo de la COVID-19 en el mundo, como ha afectado el cierre de las escuelas para la educacion en los  paises de America Latina  y el Caribe, especificamente en Cuba. Se realiza un analisis de los nuevos retos que tienen que  enfrentar  las  instituciones  de  la  educacion  superior,  los  estudiantes,  los profesores  y  la familia. Se plantean nuevas metodologicas y tecnologias de la informacion y las  comunicaciones (TIC),  para enfrentar  la  nueva  situacion  de  confinamiento  y  continuar  con  el  proceso  de ensenanza- aprendizaje a distancia y como herramientas pedagogicas a utilizar en el futuro. ABSTRACT The purpose of this contribution is to reflect on the new epidemiological situation facing higher education. It analyzes the development of COVID-19 in the world, how it has affected the closing of  schools for education in Latin American and Caribbean countries, specifically in Cuba. It is carried  out  an  analysis  of  the  new  challenges  that  higher  education  institutions,  students, professors  and  family  have  to  face.  New  methodologies  and  information  and  communication technologies (ICT) are proposed, to face the new situation of confinement and to continue with the process of distance teaching-learning and as pedagogical tools to be used in the future.
LibGuides: Remote Library Services : Citation Tools

This guide will provide useful information for off-campus users Helpful tools to assist with different citation styles
Face Recognition as a Method of Authentication in a Web-Based System.

Online information systems currently heavily rely on the username and password traditional method for protecting information and controlling access. With the advancement in biometric technology and popularity of fields like AI and Machine Learning, biometric security is becoming increasingly popular because of the usability advantage. This paper reports how machine learning based face recognition can be integrated into a web-based system as a method of authentication to reap the benefits of improved usability. This paper includes a comparison of combinations of detection and classification algorithms with FaceNet for face recognition. The results show that a combination of MTCNN for detection, Facenet for generating embeddings, and LinearSVC for classification outperforms other combinations with a 95% accuracy. The resulting classifier is integrated into the web-based system and used for authenticating users.
IMPLEMENTASI DIGITAL LIBRARY BATIK IKONIK PADA PEMBELAJARAN BATIK DI SEKOLAH MENENGAH KEJURUAN

This research departs from the problem of using technology media. The purpose of this study was to determine the usability aspect with five variables of perceived usefulness, perceived ease of use, perceived enjoyment, attitude towards / behavioral intention, and education on the iconic batik library digital media. This research method uses the TAM (Technology Accepted Model) approach. The sample of this research was all students of class XI textiles and productive teachers of SMK Negeri 14 Bandung as many as 67 people. The research instrument used questionnaire sheets that were distributed via google forms. The results obtained in this study were the iconic batik digital library media very helpful for students to get information about West Java batik, the batik digital library application is easy and can be used because it is easy to operate, students can develop batik motifs with the batik digital library source as a reference and help. students to study anywhere and anytime. Recommendations that can be conveyed through further research can add a user interface design variable so that the appearance can be seen by students and can add an observation instrument to test the variable attitude towards use/behavior to use (attitude towards / behavioral intention).
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation

Domain adaptation deals with training models using large scale labeled data from a specific source domain and then adapting the knowledge to certain target domains that have few or no labels. Many prior works learn domain agnostic feature representations for this purpose using a global distribution alignment objective which does not take into account the finer class specific structure in the source and target domains. We address this issue in our work and propose an instance affinity based criterion for source to target transfer during adaptation, called ILA-DA. We first propose a reliable and efficient method to extract similar and dissimilar samples across source and target, and utilize a multi-sample contrastive loss to drive the domain alignment process. ILA-DA simultaneously accounts for intra-class clustering as well as inter-class separation among the categories, resulting in less noisy classifier boundaries, improved transferability and increased accuracy. We verify the effectiveness of ILA-DA by observing consistent improvements in accuracy over popular domain adaptation approaches on a variety of benchmark datasets and provide insights into the proposed alignment approach. Code will be made publicly available at this https URL.
Library Guides: NSU Alvin Sherman Library Writing Workshops: Advice from the Pros

A guide to the Alvin Sherman Library's free adult virtual writing workshops and online resources.
Broken copyright in the pandemic crisis – rethinking public interest in China

The COVID-19 pandemic accelerates the digitalisation transformation in the creative industry, and now creativity heavily relies on the digital platform to transmit and distribute information. Because of a copyright rule of “permission first and use later”, massive copyright permission requests delay and even frustrate the use and transmission process during the pandemic, even where a strong justification seems to be established. Although the copyright law structures a permission-based culture for the purpose of stimulation of creation and innovation, its design also gives the chance (such as exceptions, fair use and compulsory license) to balance the public interest from those of authors. Nevertheless, it appears that such design is not expected to respond to a global crisis such as COVID-19. This chapter traces the fundamentals of the copyright system and the relation between the public interest and exclusive rights. After reviewing the rationale of the exceptions doctrine in the copyright system, and analysing the issues of the use of copyrightable works during the pandemic, the author calls for a rebuilding of the current exception framework and a copyright compulsory licensing system based on public interest in responding to future national and international public crisis.
Mobile unintended Network in mobile computing

A wireless unintended network (WANET) or mobile unintended network (MANET) could be a localized form of wireless network. The network is unintended as a result of it doesn't accept a pre-existing infrastructure, like routers in wired networks or access points in managed (infrastructure) wireless networks. Robot doesn't support Ad-Hoc networks by default (see conjointly the ad-hoc-networks tag-wiki that tells you this and more). This means, you ought to root your devices, Associate in Nursing use an app for this specific task that is understood as reverse-tether.
RECENT ADVANCES OF FACE RECOGNITION IN TRANSFORM DOMAIN

This paper provides a review on recent advances of face recognition techniques on twodimensional images. At first we have presented an overview of face recognition and its application. Then anattempt is made to review wide range of methods in frequency domain used for face recognition such asDiscrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform andContourlet Transform (CT). This review at first described the different transform domain for 2D image and theninvestigates the recognition accuracy of different face recognition methods on different databases in the DFT,DCT, DWT and CT domain. Description, benefits and limitations of different transform domain based facerecognition approaches are also discussed in this literature.
Task-Driven Self-Development of College English Teachers in Online Teaching and Learning during the Coronavirus Outbreak

College English teachers have been undergoing self-development, despite the reluctance and anxiety at the beginning of the spring semester, due to the fulfillment of virtual teaching and learning during the COVID-19 outbreak. The self-development is driven by external pressure to handle the unexpected situation and it has been integrated into teachers’ competency in language teaching and computer technology. It is fulfilled by internalizing the teaching experiences in the process of giving virtual classes.
Research on Path Planning and Positioning Technology of Computer-based Mobile Robots

The research of mobile robot has always been the focus of academia. In the specific academic content, robot path planning and general positioning technology are two of the more important academic research in mobile robot technology. Mobile planning technology is divided into global path planning and local environment path planning. This paper describes the current situation and development of the robot path planning. In addition, this paper also describes the research progress of mobile robot positioning technology based on map. Through the research of the above two technologies of mobile robot, we can get the corresponding conclusions.
EFEKTIFITAS EDUKASI PENYAKIT MENULAR KECACINGAN MELALUI MEDIA EDUKATIF (GAMEBOARD DAN VIDEO EDUKASI) PADA SISWA SEKOLAH DASAR DI KOTA JAMBI

Infectious diseases in primary school children can have short-term and long-term impacts such as morbidity and mortality. The worm infestation of elementary school students in Pelayangan Seberang District, Jambi City was 20.7%, ascaris lumbricoides. Clean and healthy living behaviors can be edited to elementary school students through educational media specifically designed to activate the cognitive, affective and psychomotor domains of elementary school students. This community service was carried out at SDN 004 / IV Pelayangan Jambi. A total of 86 students from grade IV to grade VI were divided into two groups of video and gameboard. The educational media used were worm disease board game series and educational videos. The results showed that the average height of the students was 133.2 cm, the average weight of the students was 30.9 kg, the average student experienced 4-6 symptoms of intestinal worms within 2 weeks (31.4%), the state of the students' nails 87.2% clean, the highest student snack frequency 2-3 times a day (40.7%), the main reason for snacking was not bringing food to school (45.3%), the most commonly purchased snacks are traditional cakes (32.6%). After the intervention with gameboard and video educational games, only the scores for knowledge of worms (mean±SD, 0.965±3.100 p = 0.005) and PHBS knowledge were significant (mean±SD, 6.290±6.29, p = 0.000), while snack knowledge was not significant. The gameboard-playing group had an increased knowledge score of 2.13 compared to the video score (0.000), and the healthy snack knowledge score also increased by 1.48 (0.002). It is recommended that teachers, parents and health agencies use appropriate nutrition education media or methods for primary school-aged children.
ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification

Unsupervised person re-identification (ReID) aims at learning discriminative identity features without annotations. Recently, self-supervised contrastive learning has gained increasing attention for its effectiveness in unsupervised representation learning. The main idea of instance contrastive learning is to match a same instance in different augmented views. However, the relationship between different instances has not been fully explored in previous contrastive methods, especially for instance-level contrastive loss. To address this issue, we propose Inter-instance Contrastive Encoding (ICE) that leverages inter-instance pairwise similarity scores to boost previous class-level contrastive ReID methods. We first use pairwise similarity ranking as one-hot hard pseudo labels for hard instance contrast, which aims at reducing intra-class variance. Then, we use similarity scores as soft pseudo labels to enhance the consistency between augmented and original views, which makes our model more robust to augmentation perturbations. Experiments on several large-scale person ReID datasets validate the effectiveness of our proposed unsupervised method ICE, which is competitive with even supervised methods. Code is made available at https://github.com/chenhao2345/ICE.
Research on Teaching Model of English Phonetics Based on Big Data Environment

The rapid development of computer technology and network technology has led to the rapid growth of network data. The era of big data has emerged as the times require, various mobile learning apps appear, and English teaching is surrounded by multi-dimensional data. In the background of big data, English phonetics teaching is facing opportunities and challenges brought about by the new era. In the new environment, combined with the current situation of college students' pronunciation and the problems in phonetics teaching, teachers should make full use of the advantages of big data to reform phonetic teaching, use diversified methods for phonetic teaching, and innovate a new model of English phonetic teaching.