Reviewerly/exHarmony huggingface dataset:
MEMAKSIMALKAN KEMAMPUAN MENELUSUR PADA PORTAL E-RESOURCES PERPUSTAKAAN NASIONAL RI

Abstract Searching for information can be done simply (basic) or complex. Its depends on the level of ability of the information seeker. The study was to describe the relationship between the ability to search and the relevance of search results on the e-resources portal of the National Library of Indonesia (PNRI) so that it can find ways to maximize the ability to search for scientific digital information sources on that portal. The method used was quantitative with descriptive statistics analysis. The technique of colleting data was questionnaires, interviews, and literature studies. For the population, there were 108 active students of D-3 Library Science Study Program in the FKIP, while the sample was D-3 Library Science Study Program students who have accessed e-resources services of PNRI with the numbers 45 students who are considered representative in terms of search capabilities. The results showed that there was a relationship between the ability of students in searching and e-resources database of PNRI with the relevance of search results. It can be seen from the suitability of journal articles and electronic books that they were searching. 78,05% of students were able to search and got relevant results because they were influenced by the selection strategy of the search strategy. The effectiveness of strategy selection was also influenced by the ability to break down or formulate keywords. In these study, the ability to formulate keywords as the basis of search was in the low category, but the combination to get the needed information was in the high category. Keywords: searching for information, e-resources, National Library of Indonesia
Predicting Marathi News Class using Semantic Entity Driven Clustering Approach

Document management is a need for an era and managing documents in the regional languages is a significant and untouched area. Marathi corpus consisting of news is processed to form Group Entity document matrix Marathi (GEDMM), Vector space model for Marathi (VSMM) and Hysynset Vector space model for Marathi (HSVSMM). GEDMM uses entity group extracted using Condition random field (CRF). The frequent terms are used to construct VSMM using TF-IDF. HSVSMM uses synsets using hypernyms-hyponyms and synonyms. GEDMM and HSVSMM use dimension reduction by selecting significant feature groups. Hierarchical agglomerative clustering (HAC) is used and a dendrogram is produced to visualize the clusters. The performance analysis is carried out using several parameters like entropy, purity, misclassification error and accuracy. The clusters produced using GEDMM shows the minimum entropy and the highest purity. A random forest classifier is applied and the results are evaluated using misclassification error and accuracy.
Factors affecting web-based customer loyalty: evidence from B2B online recruitment users' perspectives

This study examines the impact of e-SQ dimensions on e-satisfaction and e-trust, as well as examining the effect of e-satisfaction on e-trust. The effect of both e-satisfaction and e-trust on e-loyalty were also examined in the online recruitment industry in Jordan. An online survey with a sample of 139 business customers. Structural path analysis was used to test the hypothesised relationships between the research constructs. The findings indicate that fulfilment and efficiency are the strongest predictors of e-trust and e-satisfaction. E-trust and e-satisfaction are strong drivers of e-customer loyalty. Finally, 74% of variation in e-loyalty was caused by the e-trust-e-satisfaction path. An online recruitment service provider need not only build a job board or a website but a web-based community to achieve e-satisfaction since it is a major predictor of e-loyalty. From originality perspective, this study extends our understanding of online concerns and experiences of online recruitment website users.
Variable Techniques for Ciphertext Retrieval through Encrypted Data

In recent years, Cloud computing provides strong grip and flexible access on outsource data, cloud storage, data privacy is major concern from to outsource their data, authenticated users are allowed to access this storage to prevent important and sensitive data. For data protection and utilization, we encrypt our sensitive data before outsourced our data because cannot trust storage server, are un-trusty but on other hand, data retrieval in encrypted format from cloud, is challenging task for data utilization, was encrypted from plaintext to ciphertext, when retrieves from cloud storage. However, searchable encryption schemes used Boolean search but they are unable to make data utilization for huge data and failed to handle multi-users access to retrieve ciphertext from cloud and user’s authentication. In this paper, we are using ranked keyword search over encrypted data by going k-documents at storage and using a Hierarchical Clustering Method is designed to guide more search semantics with an additional feature of making the system to cope the demand for fast ciphertext k-search in large scale environments explored the relevance score such as massive and big cloud data. This threshold splits the consequential clusters into sub-clusters until the necessity on the maximum size of cluster is reached. To make fetching search to be secure and privacy-preserving, it is built an index for searching on cloud data and retrieve the most relevant files from cloud. To defending privacy breaches from unauthorized users, users will go through authentication process and data retrieval time as well.
Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

Capacity necessities for visual information have been expanding as of late, after the rise of numerous profoundly intelligent sight and sound administrations and applications for cell phones in both individual and corporate situations. This has been a key driving variable for the selection of cloud-based information re-appropriating arrangements. Nonetheless, re-appropriating information stockpiling to the Cloud additionally prompts new security challenges that must be painstakingly tended to, particularly with respect to protection. Right now propose a safe system for re-appropriated protection safeguarding capacity and recovery in huge shared picture vaults. Our proposition depends on IES-CBIR, a novel Picture Encryption Plan that displays Content-Based Picture Recovery properties. The system empowers scrambled stockpiling and looking through utilizing Content-Based Picture Recovery questions while safeguarding security against legitimate yet inquisitive cloud managers. We have fabricated a model of the proposed structure, officially broke down and demonstrated its security properties, and tentatively assessed its presentation and recovery exactness. Our outcomes show that IES-CBIR is provably secure, permits more productive tasks than existing proposition, both as far as reality multifaceted nature, and makes ready for new down to earth application situations.
Impoliteness Strategies of Whatsapp Group Speech Community related to Local Government Policy in Handling Covid-19 Virus

When some speakers purposively use Politeness Strategy to avoid attacking hearers’s by creating FTA, some other intentionally apply Impoliteness Strategy to insult hearers causing FTA. An interesting use of Impoliteness Strategy is seen in Whatsapp Group where speakers feels free to speak up in private and limited areas inside the Whatsapp Group. This research discuss how some speakers deliberately use Politeness Strategy in commenting local government policies related to Covid-19 safety protocol.
Inapplicability and Unenforceability of Ancillary Copyright for Press Publishers in the Absence of Prior Notification of the Draft Technical Regulation to the Commission

Journal Article Inapplicability and Unenforceability of Ancillary Copyright for Press Publishers in the Absence of Prior Notification of the Draft Technical Regulation to the Commission Get access GRUR International, Volume 69, Issue 8, August 2020, Page 869, https://doi.org/10.1093/grurint/ikaa079 Published: 22 July 2020
A Cyclotomic Lattice Based Closed Loop QOSTBC for Four Transmit Antennas

Drawback of the Space Time Block Code (STBC) is, for complex constellations, full rate and full diversity design exist only for two transmit antennas. In this paper, we propose a novel closed loop Quasi Orthogonal Space Time Block Code (QOSTBC) system based on cyclotomic lattices for four transmit antennas. It is a full rate and full diversity design where the information bits are mapped into four dimensional (4-D) lattice points. The bit error and symbol error performance of the system are evaluated by simulation.
Remote monitoring of vital and activity parameters in chronic transfusion dependent patients: a case-crossover pilot using wearable biosensors (Preprint)

<sec> <title>BACKGROUND</title> Little is known if and to what extent outpatient RBC transfusions benefit chronic transfusion dependent patients. Costs, labour, and small but remaining side effects of RBC transfusions cause restrictive transfusions strategy to be the standard of care. However, the actual performance and quality of life of patients who require RBC’s on a regular basis are hardly accounted for. </sec> <sec> <title>OBJECTIVE</title> The aim of this study is to understand how new technologies and techniques like wearable biosensor devices and web-based testing can be used to measure physiological changes and functional activity in a cohort of transfusion-dependent patients. </sec> <sec> <title>METHODS</title> We monitored 5 patients who regularly receive transfusions during one transfusion cycle with the VitalPatch biosensor, the Withings Steel HR, and web-based cognitive and quality of life testing. </sec> <sec> <title>RESULTS</title> The deployed devices rendered qualitative and usable data. Heart rate and cognition showed to be significantly improved by RBC transfusions. Activity and quality of life measures did not show transfusion-induced changes. </sec> <sec> <title>CONCLUSIONS</title> The accelerateIQ platform, Withings Steel HR, and the CANTAB platform are usable for extracting and analysing data. Red cell transfusions significantly and reversibly decrease heart rate and increase sustained attention in our cohort of five red cell transfusion-dependent patients. </sec>
Theories and Models as Vehicles for Health Communication and promotion in contemporary Nigeria

Human communication is about producing and exchanging information and meaning using signs and symbols. Health Communication is the study and practice of communicating promotional health information such as in public Health campaigns ,health education between Doctor and patient. The purpose of spreading the health information is to influence personal health choices by improving health literacy. Three theories were used to illustrate the importance of the use of theories in communication for health promotion it includes; Bandura social learning theory, the trans-theoretical model and health belief model. It was recommended that theories and models should be frequently used in the area of Health Education and promotion.
A Visual Fingerprint Update Algorithm Based On Crowdsourced Localization And Deep Learning For Smart IoV

Abstract Recently, the deep learning and vision-based technologies has shown their great significance for the prospective development of smart Internet of Vehicle (IoV). When the smart vehicle enters the indoor parking of a shopping mall, the vision-based localization technology can provide reliable parking service. As known, the vision-based technique relies on a visual map without a change in the position of the reference object. Although, some researchers have proposed a few automatic visual fingerprinting (AVF) methods, which are aiming at reducing the cost of building the visual map database. However, the AVF method still costs too much under such situation, since it is impossible to determine the specific location of the displaced object. In view of the smart IoV and the development of deep learning approach, we propose a crowdsourcing and deep learning based algorithm for solving the problem in this paper. Firstly, we propose a Region-based Fully Convolutional Network (R-FCN) based method with the feedback of crowdsourced images to locate the specific displaced object in the visual map database. Secondly, we propose a method based on quadratic programming (QP) for solving the translation vector of the displaced objects, which finally solves the problem of updating the visual map database. The simulation results show that our method can provide a higher detection sensitivity and correction accuracy as well as the relocation results. It means that our proposed algorithm outperforms the compared one, which is verified by both synthetic and real data simulation.
Pedagogical education of Russia: current state, experience, problems and prospects

The relevance of study of modern problems of pedagogical education in Russia is related to a number of factors. They are: social factor (a prevalent opinion about the benefit of communication in network formats that are built on horizontal connections while ignoring vertical. Such formats are associated with reflexive experiences of a person’s actions, elimination of borders due to their increasingly virtual nature and leveling responsibility for one’s communicative actions in the Internet environment), philosophical factor (postmodernist ideas about an individual’s imaginary freedom from the experience of the past, about a new techno genic man, not burdened with traditional views on life, values and morality) and economic factor (strengthening connections between education and services that divide training and education, reducing the purpose of education solely to transferring skills which detrimentally affects human and national qualities). In this regard, the purpose of this article is to identify and describe the current state and problems of pedagogical education in Russia, challenges that the modern technocratic society imposes on pedagogical education, prospects and vectors for its further development. The study used the following methods: analysis of scientific sources, independent assessments, observation, and modeling.
Small Human Group Detection and Validation using Pyramidal Histogram of Oriented Gradients and Gray Level Run Length Method

Over the decade’s human detection in security and surveillance system became dynamic research part in computer vision. This concern is focused by wide functions in several areas such as smart surveillance, multiple human interface, human pose characterization, person counting and person identification etc. Video surveillance organism mainly deals with recognition plus classification of moving objects with respect to several actions like walking, talking and hand shaking etc. The specific processing stages of small human group detection and validation includes frame generation, segmentation using hierarchical clustering, To achieve accurate classification feature descriptors namely Multi-Scale Completed Local Binary Pattern (MS-CLBP) and Pyramidal Histogram Of Oriented Gradients (PHOG) are employed to extract the features efficiently, Recurrent Neural Network (RNN) classifier helps to classify the features into human and group in a crowd, To extract statistical features Gray Level Run Length Method (GLRLM) is incorporated which helps in group validation.
Speech by the chairman of the committee

The honorable Rector of Universitas Bung Hatta, Prof. Tafdil Husni and the leadership. Honorable keynote speaker, Prof. M Tominaga from Saga University, Prof. Kamaruzzaman Sopian from Universiti Kebangsaan Malaysia, Prof. Tresna Dermawan from Universitas Indonesia, Prof. Iwan Vanany from Institut Teknologi Sepuluh November Surabaya, Prof. Reni Desmiarti from Universitas Bung Hatta. The conference was initiated on 2011 and 2013 by the Faculty of Industrial Technology of Universitas Bung Hatta under the modest name of National Conference of Science and Technology (Resatek). The conference then expands and changes its name into the 3rd Engineering Science and Technology International Conference on 2016 and 2018. The conference adopted the present name and expanded its scope to international. The conference has facilitated the communication between scientists across applied in engineering technology science. The theme of this conference “Applied Technology for Sustainable Development” is consistent with the progressive development of applied engineering technology, which enables us to reveal and comprehend how technology works towards better life of the society around the world. Due to COVID-19 pandemic, the conference was held online via Video Conference/online on 9 September 2020. List of International Scientific Committee, Organizing Committee are available in this pdf.
Spatial information literacy for digital humanities: The case study of leveraging geospatial information for African American history education

The rise of “digital humanities” and the “spatial turn” in the humanities has generated many new insights in the study of culture, history, literature, and arts. Within this research trend, the library’s geospatial service can play an active role by introducing spatial information literacy and technology. In this article, we use the information literacy framework to explore the library’s role in supporting digital humanities by introducing a successful collaboration involving a librarian and history and education researchers in hosting a National Endowment for the Humanities (NEH)-funded summer institute for school teachers. Our results suggest that the framework has opened a new way to facilitate collaborations between librarians and multidisciplinary researchers.
Administrasi Layanan Khusus

Special service is an activity related to the teaching and learning process in class, but specifically given by the school to students so that they are more optimal in carrying out the teaching and learning process.The principal must always look at the relationship between special services and the overall education program. In essence, to facilitate the implementation of special service activities, principals are required to have the ability to apply a psychological approach in administering personal. Health workers, cafeteria workers, and guidance officers, as well as other personnel, must feel that they are an important part of the overall administration of the school. Principals must help non-educative staff to achieve this attitude, by providing opportunities to participate in decision making. The principal's attention to this can be seen from his willingness to invite them to other meetings. So the administration of special services is an activity or design to manage a teaching and learning process in the classroom that is specifically given by the school to its students so that they are more optimal in carrying out the teaching and learning process to achieve the stated goals. .
Denoising Dirty Document using Autoencoder

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Pemahaman Komponen dan Fungsi Perangkat Lunak Komputer Dalam Pembelajaran Daring

Software Component is a computer application that is useful for carrying out a desired job. This application is needed as a liaison between the brain (brainware) with hardware (hardware). Software also means a computer program that serves to perform special tasks, such as making documents, manipulating photos, making financial reports, or designing a house. Software can be divided into two, namely: System Operation. Software that functions to connect between users and computers, for example Windows 7, Windows 8, Linux, and Windows 10. Application. Software that can be applied to meet user needs. System network adapter drivers, network operations, and network protocols. As for examples of software in online communication, as follows. skype, hangout, web conference, whatsapp, Microsoft excel, video and audio, earlerning
Psychological and Pedagogical Training of Teachers of Engineering Universities in the Framework of Additional Professional Education

The article deals with the actual problems of professional psychological and pedagogical training of teachers of engineering universities. A set of criteria for evaluating the scientific and educational activities of teachers of technical disciplines is proposed. A description of the achievements of domestic and international practice of training teachers of technical universities is given. The directions of increasing the efficiency of this process are determined.
Dimensionality Reduction

This chapter will build a series of techniques to deal with high-dimensional data. Unlike regression problems, our goal is not to predict a value (the y-coordinate), it is to understand the “shape” of the data, for instance a low-dimensional representation that captures most of the meaning of the high-dimensional data. This is sometimes referred to as unsupervised learningunsupervised learning (as opposed to regression and classification, where the data has labels, known as supervised learning). Like most unsupervised scenarios (as most parents know), you can have a lot of fun, but it is easy to get yourself into trouble if you are not careful. We will cover many interconnected tools, including the singular value decomposition (SVD), eigenvectors and eigenvalues, the power method, principal component analysis (PCA), multidimensional scaling, as well as several other use cases of the SVD. The chapter will conclude by contrasting PCA with the main alternative method for dimensionality reduction: random projections.