Reviewerly/exHarmony huggingface dataset:
Tensor Decomposition-Based Temporal Knowledge Graph Embedding

In order to meet the problems caused by sparse data and computational efficiency, knowledge graph (KG) is adopted to represent the semantic information of entities and relations as dense and low-dimensional vectors. While conventional KG representation methods mainly focuse on static data. These methods fail to deal with data that evolves with time which may only be valid for a certain period of time. To accommodate this problem, a temporal KG embedding model based on tensor decomposition is proposed in this paper, which regards the fact set in the KG as a fourth-order tensor including head entities, relations, tail entities and time dimensions. This method can be further generalized to other static KG embedding based on tensor decomposition. With experiments on temporal datasets extracted from real-world KG, extensive experiment results show that our approach outperforms state-of-the-art methods of KG embedding.
Development of the Library and Information Science Students’ Digital Competencies

The article is devoted to the existing tasks in the field of improving the quality of higher library education in the digitalization era. The purpose of the article is to focus on challenges and possibilities concerning digital competence of students in library and information education. The librarians’ digital competence is growing importance in classrooms, now that digital resources and digital media are becoming important parts of librarians’ everyday practice. The starting point of the study is the need to identify the key components of students’ digital competence in terms of knowledge and skills necessary for successful professional implementation and increase competitiveness in the labor market. Predictive-analytical method, the conceptualization method and mental modeling method have been used in the key components of digital competencies study. The authors propose to supplement the set of competencies for Library and information science students taking into account features of the modern information environment development. The main digital competencies of library students and library professionals should be considered: the ability to work with digital information; ability to communicate in a digital media environment; ability to create and manage digital content; implement information security measures; ability to solve the problems of digital modernization, identify and analyze society’s information needs based on the study of trends in the digital media space. A librarian should have a combination of technological and librarianship competences. A new area in digital competence of librarians was revealed. Recommendations for librarians training in the areas of digital competence have been suggested.
Favorite E-Learning Media in Pandemic Covid-19 Era

It has been almost a year since we experienced the Covi-19 pandemic, which made us carry out learning activities from home. In filling that period, the researchers intends to conduct research that can add references to the learning process in this challenging time. The purpose of this research is to know students’ perception on the use of E- learning Media in Covid-19 pandemic era; the lecturers’ favorite e-learning media in Covid- 19 pandemic era; the students’ favorite e-learning media in Covid- 19 pandemic era and the factors affects the use of E- learning in the classroom. This study was a descriptive and use a mixed method consisted of quantitative and qualitative data. The sample of this study (n= 20) is the sixth semester undergraduate students from English Education Department of 2019/2020 academic year, Universitas Muhammadiyah Sidenreng Rappang, Indonesia. The results of this study showed that there are many E- learning media that the lecturers used in delivering the materials. The use of that media in learning process is less interested to the students. It was proved by the results of students’ perception. These scores are categorized as disagree or negative scores of perceptions if they are confirmed by using a Likert Scale. There are no students who strongly agree with the current e-learning process, there are only 3 students who agree, 11 students say they are moderate (55%), 5 students disagree and 1 student strongly disagree. However, the use of e-learning media in the current learning process is an absolute necessity. Favorite learning media that are often used by lecturers in teaching, such as Zoom, WhatsApp and LMS, while students prefer to be taught with WhatsApp, Zoom, Google Classroom, LMS, and Quizziz.
INNOVATIONS IN PEDAGOGICAL ACTIVITY OF HIGHER SCHOOLS

The article deals with the actual current task of pedagogical activity - innovations in educationalprocess. The article represents reviews of the research and works on the subject by other authorsand definitions of the main concepts concerning the subject, and points out the main reasonsstimulating professors and teachers of the higher schools to innovations. Having analyzed thescientific works on the subject, the author indicated innovative features of higher schoolpedagogics. The author represents the results of the research on readiness of the staff of MoscowAviation Institute (National Research University) to introduce innovations in practice. Factorsinfluencing the process of innovation such as: major advantages of innovative pedagogics from thepoint of view of pedagogical staff of higher schools, readiness of the teachers to masterinnovations, barriers to master innovations, awareness of the managers to accept innovations,branchers of literature devoted to innovative pedagogical technologies and their realization were also studied.
A Study on Combined Use of Contactless Sensors to Watch over the Safety and Health of Living Alone

In a super-aged society, medical services for health management have various problems. To solve these problems, it is desirable for all generations, including the elderly, to be self-reliant and maintain their health. In this paper, a system is proposed for everyone to actively manage their health. This system uses various contactless sensors to monitor the health of the elderly living alone and monitor and store the biometric information of the person. By comprehensively analyzing these sensor data, the system assists people and observers to easily recognize changes in the physical condition of the target person. Further, the system facilitates providing information to distant healthcare professionals when people receive medical care at home. The system prototype was created to demonstrate this mechanism. Also, the system conducts preliminary experiments and confirmed that the models and algorithms worked as expected. In the demonstration experiment, the observation target was observed using a millimeter-wave sensor and a multi-channel gas sensor, and both were integrated. As a result, the system presents changes in the observation target in detail.
A novel Watermarking Technique Based on Hybrid Transforms

This paper proposed Anovel watermarking scheme using hybrid of  Dual Tree Complex Wavelet Transform and singular value decomposition . Image watermarking is to embed copyright data in image bit streams. Our proposed technique demonestrates  the effective and robust of image watermarking algorithms using a hybrid of two strong mathematical transforms; the 2-level Dual Tree Complex Wavelet Transform (DT-CWT) and Singular Value Decomposition (SVD). This technique shows high level of security and robustness against attacks. The algorithm was tested for imperceptibility and robustness and the results were compared with DWT-SVD-based technique, it is shown that the proposed watermarking schemes is considerably more robust and effective.
Mathematics Behind Quantum Computing

In this chapter, we cover the mathematical concepts related to quantum computing. We look at quantum operators, sets, vectors, matrices, and tensors.
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation

Early diagnosis and treatment of brain tumor is critical for the recovery of the patients. However, it is challenged by the various brain anatomy structure, low image contrast and fuzzy contour. In this paper, we present a dual supervision guided attentional network for multimodal brain tumor segmentation. The backbone is a multi-encoder based U-Net. The multiple independent encoders are used to obtain individual feature representation from each modality. A dual attention fusion block is proposed to extract the most informative feature representation from different modalities. It consists of a spatial attention module and a modality attention module. Since the same brain tumor regions can be observed in the different modalities, therefore, the spatial feature representations from different modalities can provide the complementary feature representations for segmentation. To this end, a spatial attention based supervision is introduced to enable hierarchical learning of the multi-scale feature representations, and also to provide addition constraint for the segmentation decoder. In addition, an image reconstruction based another supervision is integrated to the network to regularize the encoders. The ablation experiments and the visualization results evaluated on BraTS 2019 dataset prove that the proposed method can achieve promising results.
GEOGRAPHIC INFORMATION SYSTEM (GIS) FOR MAPPING OF DRUG ABUSE USING SPATIAL CORRELATION ANALYSIS IN NORTH SUMATRA PROVINCE

&lt;div&gt;&lt;div&gt;&lt;p class="Els-history-head"&gt;Drug abuse is a problem that affects almost every country in the world including Indonesia. In the long term, it has the potential to disrupt competitiveness, weaken national resilience, and can hinder the progress of a nation. North Sumatra is a province that has the highest prevalence of drug abusers in Indonesia, which none of the villages in this Province is free from drug abuse. The North Sumatera Province also has the highest number of drug abusers undergoing rehabilitation at the BNN Rehabilitation Center. The use of geospatial technology can help understand the phenomenon of drug abuse by area or spatial. One of the geospatial technology that commonly uses is the Geographic Information System (GIS). This study aims to show that GIS can be used in mapping drug-prone areas in North Sumatra based on North Sumatran people undergoing drug rehabilitation. The method used is a retrospective based on secondary data and spatial statistics in GIS. The environment prone to drug abuse based on the number of people undergoing drug rehabilitation at the BNN Rehabilitation Center from North Sumatra is divided into 3 zones based on the number of clients distributed in BNN Rehabilitation Center, namely red, yellow and green. Red zone 3 cities/districts namely Deli Serdang, Medan, and Binjai with 9 sub-districts namely Percut Sei Tuan, Medan Amplas, Medan Helvetia, Medan Tembung, Medan Perjuangan, Binjai Utara, Medan Sunggal, Medan Johor, Medan Timur. The yellow area has 25 districts, the green area is 103 districts. In a conclusion, the Geographic Information System (GIS) is a technology that can be used to map drug-prone areas.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;
An Analysis of Lexical and Syntactical Errors in English Abstract Made by Students of the Accounting Department Polmed

The main purpose of the study is to find out the kinds of lexical and syntactical errors in writing the student’s paper of English Abstract. The data collecting technique used the field research method from 25 student’s papers of English abstract of Accounting Department Politeknik Negeri Medan. The method used in the research is a qualitative approach. The findings of the research revealed that there were so many errors found in the student’s papers of English abstract. There were two kinds of lexical errors relate to Semantic Error in Lexis found in the student’s papers of English abstract which are Confusion of Sense Relations and Collocational Errors. The number of errors in Confusion of Sense was 20 errors with percentage 62.50 % while the collocational errors were also found as many as 12 errors that constituted 37,50% of the total errors collected in the data analysis process. The errors in the syntactical level are also found in the student’s paper of English abstract based on surface structure taxonomy. There were five kinds of errors found in the analysis process. The most frequent errors made by students are misformation 62 (40,79%) of error followed by omission error reach 54 (35,53%) of errors. The addition errors reach 22 (14,47%) of error. then, misordering errors are found 13 (8,55%) of errors. finally, the blend is only found 1 (0,66%) of errors in student’s papers of English abstract in Accounting Department Politeknik Negeri Medan.
Desain pembelajaran berbasis daring pada masa pandemi Covid-19 di SMP Muhammadiyah se-Gunungkidul

The spread of the Covid-19 virus pandemic in Indonesia has caused schools to stop the face-to-face learning process. Instead, learning is done by distance learning or learning from home. Online and distance learning requires qualified and easily accessible technology assistance. Revolution 4.0 is the right learning program, which can be applied today with the aim of responding to technology and educational progress. However, the problems regarding human resources in Indonesia, especially students in schools, are still very complex. Teachers also experience many obstacles in the process of delivering lessons. Therefore, this service activity in the form of online-based learning design training during the Covid-19 pandemic aims to improve the competency skills of Indonesian language teachers at Muhammadiyah Junior High Schools in Gunungkidul Regency in implementing online-based learning designs. The method used in this service is training and mentoring on planning making online learning designs. The results of this service activity participants can develop online learning designs by utilizing technology and implementing it in Indonesian language learning at the junior high school level. The development of online-based learning designs is packaged in the form of scientific articles, then an anthology of online learning designs is made. The book can be used as a reference to add scientific knowledge and insights about online-based learning design in Indonesian language learning at the junior high school level.
AMR Quality Rating with a Lightweight CNN

Structured semantic sentence representations such as Abstract Meaning Representations (AMRs) are potentially useful in various NLP tasks. However, the quality of automatic parses can vary greatly and jeopardizes their usefulness. This can be mitigated by models that can accurately rate AMR quality in the absence of costly gold data, allowing us to inform downstream systems about an incorporated parse’s trustworthiness or select among different candidate parses. In this work, we propose to transfer the AMR graph to the domain of images. This allows us to create a simple convolutional neural network (CNN) that imitates a human judge tasked with rating graph quality. Our experiments show that the method can rate quality more accurately than strong baselines, in several quality dimensions. Moreover, the method proves to be efficient and reduces the incurred energy consumption.
Pedagogical-hermeneutic Approach to the Interpretation of the Competence Phenomenon in Modern Research

The spread of a competency-based approach in modern education, its active implementation in the educational process, made the phenomenon of competency a key one when creating regulatory documents for educational institutions at all levels. As a result, competencies became the subject of research in various sciences. About five hundred dissertations on the phenomenon of skill were published in Russia. The emergence of new areas of training and specialties necessitated the justification of new competencies and, thus, contributed to the emergence of new scientific research. The trend created the conditions for summing up and systematizing some results. The research work examines the phenomenon of competency on the scale of different branches of scientific knowledge. The authors of the current research interpret the phenomenon in the context of pedagogical hermeneutics and such aspects as the target audience, the form of competency, its content, and actualization. The scholars tried to describe the quality of the educational process for the formation and development of competencies, and they gave an attempt to propose some approaches classifying the diversity of competency types.
Research and Practice on the Construction of Bilingual Teaching Mode of Automobile Major in Higher Vocational Education

The implementation of bilingual teaching in automotive majors in higher vocational colleges is not only to meet the needs of the development trend of the automotive industry, but also to meet the needs of vocational students to enter professional positions after graduation. However, in the specific teaching process, all vocational colleges are faced with this is due to the lack of bilingual teachers in automotive majors, poor English foundation for vocational automotive students, poor English learning ability, and lack of bilingual teaching materials for automotive majors. How to construct a reasonable bilingual teaching model has become an important topic for automotive teachers in higher vocational colleges. This article selects foreign original textbooks and self-compiled bilingual teaching textbooks, increases online and offline training, improves professional teachers, and tries various bilingualism The teaching mode explores the path of bilingual teaching practice in the automotive major of higher vocational colleges, and aims to promote the training process of international talents in the automotive major of higher vocational education.
Augmented reality (AR) for visualising solar system motion

Teaching solar system motion frequently utilizes picture model or real modelling apparatus to facilitate students' conceptual understanding.However, these cases did not show comprehensively how visualization of solar system motion runs alike the real solar system motion.This present study aims to develop an application of solar system motion using AR as an instructional media of science classroom.Web Aurasma Based Studio and HP Reveal were used to develop this application-these have six stages including concept, design, material collecting, assembly, testing, and distribution.The findings reveal that the application was highly applicable to visualize the motion of solar system.The implication of this present study indeed can be a way to enlarge using of AR in science teaching and learning.
A stochastic variance-reduced accelerated primal-dual method for finite-sum saddle-point problems

In this paper, we propose a variance-reduced primal-dual algorithm with Bregman distance functions for solving convex-concave saddle-point problems with finite-sum structure and nonbilinear coupling function. This type of problem typically arises in machine learning and game theory. Based on some standard assumptions, the algorithm is proved to converge with oracle complexities of $${\mathcal {O}}(\frac{\sqrt{n}}{\epsilon })$$ and $${\mathcal {O}}(\frac{n}{\sqrt{\epsilon }}+\frac{1}{\epsilon ^{1.5}})$$ using constant and non-constant parameters, respectively where n is the number of function components. Compared with existing methods, our framework yields a significant improvement over the number of required primal-dual gradient samples to achieve $$\epsilon $$ -accuracy of the primal-dual gap. We also present numerical experiments to showcase the superior performance of our method compared with state-of-the-art methods.
Electrochromic Alarm System with Computer Vision in Smart Contact Lens

Recent advances in smart healthcare system using IoT are becoming mandatory with continuous and real time healthcare monitoring system. This system can give signal to the user by sound or stimulation when health condition become severe. As one of them, smart contact lens can be used to monitor vital signals from glucose level of the tear related to diabetes 1 and intraocular pressure related to glaucoma 2 . However, previous researches about smart contact lens used wireless communication for signal transfer which need external receiver and antenna inside. Moreover, research that deals with data transmission to the user by image visualization on the contact lens has not been yet published. Herein, we have demonstrated electrochromic alarm system which uses color change to give direct signal transfer to the user by electrochemical reaction with ions in tear. This system showed clear color change with curved shape in limited spaces. Also, diverse intensities and frequencies of color change were controlled by the various voltages and duration of voltage application to this system. In addition, various color changing patterns can be shown to the user by controlling the duration of voltage application and Morse code was used to transfer words to the user in specific purpose. With the help of computer vision, color changing patterns were detected and interpreted. We believe that our electrochromic alarm system with diverse patterns suggest new method for direct data transmission to the user with the help of computer vision. Also, it can be integrated into smart contact lens with battery and various sensors. References D. H. Keum, S.-K. Kim, J. Koo, G.-H. Lee, C. Jeon, J. W. Mok, B. H. Mun, K. J. Lee, E. Kamrani, C.-K. Joo, S. Shin, J.-Y. Sim, D. Myung, S. H. Yun, Z. Bao, S. K. Hahn, Wireless smart contact lens for diabetic diagnosis and therapy. Sci. Adv. 6, eaba3252 (2020). J. Kim, M. Kim, M.-S. Lee, K. Kim, S. Ji, Y.-T. Kim, J. Park, K. Na, K.-H. Bae, H. K. Kim, F. Bien, C. Y. Lee, J.-U. Park, Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics. Nat. Commun. 8, 14997 (2017). Figure 1
EXTEND: Resolution Revolution to Extend Reality

Cyberpsychology, Behavior, and Social NetworkingVol. 24, No. 1 CyberEuropeEXTEND: Resolution Revolution to Extend RealityCompiled by: Giuseppe Riva and Riva Eleonora Francesca MariaCompiled by: Giuseppe RivaAddress correspondence to: Dr. Giuseppe Riva, Humane Technology Lab, Catholic University of Milan, Largo Gemelli 1-20123 Milan, Italy E-mail Address: giuseppe.riva@unicatt.itHumane Technology Lab, Catholic University of Milan, Milan, Italy.Applied Technology for Neuro-Psychology Lab, Istituto Auxologico Italiano, Milan, Italy.Search for more papers by this author and Riva Eleonora Francesca MariaDr. Riva Eleonora Francesca Maria, Department of Cultural Heritage and Environment, University of Milan, Milan, Italy E-mail Address: eleonora.riva@unimi.itDepartment of Cultural Heritage and Environment, University of Milan, Milan, Italy.Search for more papers by this authorPublished Online:11 Jan 2021https://doi.org/10.1089/cyber.2020.29204.ceuAboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View article"EXTEND: Resolution Revolution to Extend Reality." Cyberpsychology, Behavior, and Social Networking, 24(1), pp. 74–75FiguresReferencesRelatedDetails Volume 24Issue 1Jan 2021 InformationCopyright 2021, Mary Ann Liebert, Inc., publishersTo cite this article:Compiled by: Giuseppe Riva and Riva Eleonora Francesca Maria.EXTEND: Resolution Revolution to Extend Reality.Cyberpsychology, Behavior, and Social Networking.Jan 2021.74-75.http://doi.org/10.1089/cyber.2020.29204.ceuPublished in Volume: 24 Issue 1: January 11, 2021Online Ahead of Print:December 22, 2020PDF download