Reviewerly/exHarmony huggingface dataset:
Performance Monitoring, Privacy and Security of Cloud Users

The cloud applications are performed with the support of Internet. Internet is the main resource to function applications in cloud environment. The cloud environment provides the application access through wired or wireless environment. Wireless environment is unsecured than wired environment, because of several reasons. Inspite of several advantages and features of cloud environment, there are few risks and challenges involved in cloud implementation. The main issues are performance, user data privacy and data security. This paper explain the reasons for access performance and security issues related to cloud providers, application developers and cloud users.
THE MODERATING ROLE OF ENTREPRENEURIAL ORIENTATION IN THE RELATIONSHIP BETWEEN LEADERSHIP STYLE AND HUMAN CAPITAL AND ACADEMIC JOB PERFORMANCE IN PUBLIC UNIVERSITIES IN JORDAN

Public universities in Jordan have not been performing well in the area of management, which is one of the primary responsibilities for establishing them. Facilities, like videoconferencing, interactive whiteboards, internet facility and automated library, are mostly nonexistent, and where they are available, they are inadequate and mostly outdated. This study investigates the impact of the relationship between leadership style (transformational leadership style and transactional leadership style) and human capital and the moderating role of entrepreneurial orientation on academic job performance of higher educations, especially in Jordan. Based on the Resource-Based View Theory, this study determines the significance of the relationship between human capital and leadership style (transformational leadership style and transactional leadership style) and the academic job performance of the public universities in Jordan. The study also determines the moderating role of entrepreneurial orientation in the relationship between human capital and leadership style (transformational leadership style and transactional leadership style) and academic job performance of the public universities. Data were collected from academic staff in public universities. The study employed a multistage sampling procedure with the use of a survey questionnaire. Out of the 1,000 questionnaires distributed, 418 were returned, giving a 41.8% response rate. After the data cleaning process, only 398 responses were used for analysis through SPSS, Smart PLS version 3.0, to investigate the relationships between human capital and leadership style (transformational leadership style and transactional leadership style) and academic job performance of the public universities. Results show significantly positive relationships between human capital and leadership style (transformational leadership style and transactional leadership style) and academic job performance. Furthermore, the results show that entrepreneurial orientation moderates the relationship between human capital and transactional leadership style while transformational leadership style is not moderated.
Donor name visibility in DonorNet

Deceased organ donors and their loved ones make a selfless and important contribution to society. As such, it is vital that their privacy is protected. Donor anonymity is emphasized by the Organ Procurement and Transplantation Network and United Network of Organ Sharing. 1 Guidance for donor and recipient information sharing; 2011. Available at: https://optn.transplant.hrsa.gov/resources/guidance/guidance-for-donor-and-recipient-information-sharing/. Google Scholar In particular, the Organ Procurement and Transplantation Network Guidance document on sharing of information to recipients highlights the concept of a “minimum necessary requirement.” 1 Guidance for donor and recipient information sharing; 2011. Available at: https://optn.transplant.hrsa.gov/resources/guidance/guidance-for-donor-and-recipient-information-sharing/. Google Scholar Interestingly, when reviewing donor offers in the electronic database DonorNet (a registered trademark of United Network of Organ Sharing) for patients on the heart transplant waiting list at our center, we noted that donor names were visible on uploaded clinical attachments.
Machine Learning applied in Swell Noise classification

Recorded seismic signals are inevitably contaminated by noise in field acquisition.Attenuating the high-amplitude noises, such as swell noise, is really a big challenge in the seismic data processing.High-amplitude swell noise is a common sort of noise in marine seismic survey.It usually affects a number of neighboring traces, and can be observed in seismic data as vertical stripes.One of the first tasks in seismic data processing is the swell noise attenuation.However this is not a trivial task, if not applied in adequate way can damage the signal and consequently affect posterior processing steps and therefore, compromise seismic interpretation.In this work, several approaches are proposed using machine learning to identify contaminated traces by this noise.Future research direction includes the attenuation of swell noise using these classified traces.The classification of the traces individually is given by the best AI model tested: it was tested seven different AI models with four different input variables.The architectures that had frequency-based features presented better results overall, especially the multi-layer perceptron.
KNOWLEDGE SHARING BEHAVIOUR AND LEADERSHIP STYLE AND ACADEMIC JOB PERFORMANCE THE ROLE OF ENTREPRENEURIAL ORIENTATION

Challenges are increasing for higher education institutions, especially the public-owned ones. However, very few studies are available on the impact of leadership style (transformational leadership style and transactional leadership style) and knowledge sharing behaviour as well as the moderating role of entrepreneurial orientation on academic job performance of higher education institutions, especially in Jordan. Based on the Resource-Based View Theory, this study determines the significance of the relationships between knowledge sharing behaviour and leadership style (transformational leadership style and transactional leadership style) and academic job performance of public universities in Jordan. The study further determines the moderating role of entrepreneurial orientation in the relationship between knowledge sharing behaviour and leadership style (transformational leadership style and transactional leadership style) and academic job performance of the public universities. Data were collected from academic staff in public universities. The study employed a multistage sampling procedure with the use of a survey questionnaire. Out of the 1000 questionnaires distributed, 418 were returned with only 398 usable questionnaires, giving a 41.8% response rate. The usable responses were analysed through SPSS, Smart PLS version 3.0, to investigate the relationships between knowledge sharing behaviour and leadership styles (transformational leadership style and transactional leadership style) and academic job performance of the public universities. Results show significantly positive relationships between knowledge sharing behaviour and leadership style (transformational leadership style and transactional leadership style) and academic job performance. Furthermore, the results show that entrepreneurial orientation moderates the relationship between knowledge sharing behaviour and transactional leadership style, while the relationship between transformational leadership style and knowledge sharing behaviour is not moderated by entrepreneurial orientation.
Research Guides: EDUC 4605 Course Guide: A Google "How to"

This guide was created for Dr. Kimberly Reinhardt's EDUC 4605: Planning, Teaching, Assessment, and Technology course. It will serve to guide students of this course in locating and accessing relevant resources.
Penentuan Penerimaan Mahasiswa Baru Pascasarjana Menggunakan Simple Additive Weighting (SAW)

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set&gt; 0.70 declared passed, or &lt;0.70 declared not passed.
Dijkstra algorithm for nearest route determination and estimated cost of official travel

Abstract The purpose of this Decision Support System (DSS) design is to analyze the nearest route of a position, which then carried out financing analysis for transportation to the specified location. The design methodology of this study is the Android-based application system by utilizing the mapping of the region on the hardware in the form of a smartphone. The analysis model chosen for this DSS is Dijkstra algorithm. The subject of system user is Coordinator of Islamic Higher Education (KOPERTAIS) region II for West Java and Banten. The design results show the good system capabilities of the system to select and determine the nearest route and estimate the cost of official travel so that official travel can be efficiently done based on the time and cost perspective.
PENERAPAN ALGORITMA TURBO BOYER MOORE PADA APLIKASI KAMUS BAHASA INDONESIA - ALAS

The base language is one of the regional languages used in Aceh Province, precisely in Southeast Aceh. The base language is basically divided into 3 (three) pieces of dialeg, namely upstream (subtle), middle (medium), and downstream (rough). As time goes on, the Alas language becomes increasingly forgotten because the younger generation prefers to learn foreign languages to keep up with the times so that many Alas communities, especially the younger generation, cannot communicate using the Alas language. To preserve the Alas language, a technology-based dictionary application is needed that is developing at this time to help young people learn the Alas language. Improving the accuracy of string matching in translating the Alas language into Indonesian in the application in the dictionary application used to study the Alas language in this study used the Turbo Boyer Moore string matching agorithm. The results of this study are in the form of desktop-based applications that can be used easily on a computer with the results of Indonesian language translation search into the Alas language with accurate stringency accuracy efficiently and efficiently with minimum time. Keywords : Regional Language, Alas-Indonesian Indonesian Dictionary, String Matching, Turbo Boyer Moore.
Implementation of 3M Learning Strategies (Imitating, Processing, Developing) in Writing Negotiating Texts for Class X Grade Students of SMK Cendana Padangpanjang

This study aims to describe the Implementation of 3M Learning Strategies (Copying, Processing, Developing) in Writing Negotiating Texts for Class X Students of Cendana Padang Panjang Vocational School.This type of research is quantitative research with quasi-experimental methods (quasiexperimental).The research design used was One-Group Pretest-Posttest Design with purposive sample technique.The sample in this study amounted to 30 people drawn from the entire population.The instrument used in this study was a performance test.Data collection techniques in this study include: 1) Preliminary tests (pretest), 2) Student worksheets are collected, examined and scored, 3) Learn to write negotiating texts by applying the 3M strategy (imitating, processing, developing), 4 ) Conducted a final test (posttest) students write negotiating texts 5) Work sheets of students' posstest results are collected and assessed based on predetermined indicators.Data analysis techniques are: 1) reading and correcting students' writing according to indicators, 2) giving and recording scores, 3) changing scores into grades, 4) classifying, 5) determining mean scores, 6) hypothesis testing.The results of this study indicate that the application of the 3M Strategy (Imitation, Processing, Developing) significantly influences the ability to write negotiating texts for X grade students of TKJ 3 SMK Cendana Padangpanjang.Statistically shows that t arithmetic is greater than t table or t table (9.54> 1.70), then (H0) is rejected, it can be concluded that the alternative hypothesis (H1) is accepted.Thus 3M's learning strategy (imitating, processing, developing) can improve student learning outcomes in writing negotiating texts.
Content-Based Full-Text Cataloguing in the Digital Era: An Initiative of Sahitya Akademi Library

The whole processes and methods of implementation of content-based full-text cataloguing in the library of Sahitya Akademi (India’s National Akademi of Letters) have been discussed in this paper. It discusses in detail the creations of content-based full-text cataloguing, how to integrate them and also the steps of searching this information. This work has been initiated to cater to the information needs of the users/researchers.
Calling out Kanye: reflections on post-racial celebrity and the (neo)liberal media

This short provocation seeks to problematise the condemnation of American rapper Kanye West’s highly publicised support for American President Donald Trump. Through reference to a small representat...
Fuzzy Clustering Based on Cloud and Fog Computing

The paper considers modern approaches to big data mining based on the fog and cloud computing technology. The existing solutions, their strengths and weaknesses are considered. A new approach to conducting data mining within the fog computing concept and its application to the Internet of Things is proposed. The application to fuzzy clustering is described as well.
THE USE OF ADAPTIVE AND INTELLECTUAL EDUCATIONAL TECHNOLOGIES IN PREPARING OF MODERN SPECIALISTS

In the development of educational software, there are ongoing dynamic changes that affect the market of educational services on the Internet. The current state of the distance education system requires the latest educational technology to effectively meet the needs of students who study virtually.The article defines how intelligent systems are used in the training of modern specialists through the system of distance learning.Key words: educational systems, intellectual systems, student, internet, hypermedia.
Reliability analysis of simply supported beam using GRNN, ELM and GPR

This article deals with the application of reliability analysis for determining the safety of simply supported beamunder the uniformly distributed load. The uncertainties of the existing methods were taken into account and hence reliabilityanalysis has been adopted. To accomplish this aim, Generalized Regression Neural Network (GRNN), Extreme LearningMachine (ELM) and Gaussian Process Regression (GPR) models are developed. Reliability analysis is the probabilistic style todetermine the possibility of failure free operation of a structure. The application of probabilistic mathematics into thequantitative aspects of a structure and improve the qualitative aspects of a structure. In order to construct the GRNN, ELM andGPR models, the dataset contains Modulus of Elasticity (E), Load intensity (w) and performance function () in which E and ware inputs and  is the output. The achievement of the developed models was weighed by various statistical parameters; oneamong the most primitive parameter is Coefficient of Determination (R2) which has 0.998 for training and 0.989 for testing. TheGRNN outperforms the other ELM and GPR models. Other different statistical computations have been carried out, whichspeaks out the errors and prediction performance in order to justify the capability of the developed models.
Adapting the Graph2Vec Approach to Dependency Trees for NLP Tasks

In recent works on learning representations for graph structures, methods have been proposed both for the representation of nodes and edges for large graphs, and for representation of graphs as a whole. This paper considers the popular graph2vec approach, which shows quite good results for ordinary graphs. In the field of natural language processing, however, a graph structure called a dependency tree is often used to express the connections between words in a sentence. We show that the graph2vec approach applied to dependency trees is unsatisfactory, which is due to the WL Kernel. In this paper, an adaptation of this kernel for dependency trees has been proposed, as well as 3 other types of kernels that take into account the specific features of dependency trees. This new vector representation can be used in NLP tasks where it is important to model syntax (e.g. authorship attribution, intention labeling, targeted sentiment analysis etc.). Universal Dependencies treebanks were clustered to show the consistency and validity of the proposed tree representation methods.
Robust Artificial Noise-aided Secure Communication against ICA-based Attacks

Physical layer security (PLS) technologies have attracted much attention in recent years for their potential to provide information-theoretically secure communications. Artificial Noise (AN)-aided transmission, which can realize secure communications against the external passive eavesdropping, is considered one of the most practicable PLS technologies. In this paper, we reveal that the conventional AN scheme has a severe vulnerability when the eavesdropper adopts Independent Component Analysis (ICA)-based attack, by which the AN-aided transmission will be cracked in a high probability even with most transmission power allocated to AN signals. In order to ensure secure communications, we propose a robust AN scheme focused on the ICA's ability of blind source separation. In our proposed scheme, AN signals are generated with the same modulation scheme and a certain correlation to information signals, thus to introduce irremovable correlation to degrade the ICA's separation performance. Furthermore, we derive the optimal correlation factors from the relation between an information-AN correlation and the ICA's performance. Numerical simulation results with the comparison to the conventional AN scheme show that, our proposed scheme can ensure secure communications by degrading eavesdropper's success probability of attack from 96% to lower than 1%.
PEMBERIAN KJP ( KARTU JAKARTA PINTAR) STUDI KASUS PADA SMP 120 JAKARTA

Education is a comprehensive thing and involves many systematic aspects. Therefore one of the determining factors for the success of our education program. At present there is the recruitment of students who get the Jakarta Smart Card (KJP). This study aims to determine the extent of the effectiveness of the procurement of smart jakarta program in SMP Negeri 120. The sample in the study was all student in the junior high school. The results of the study showed that the card-giving program was very effective, even though there were students who refused the card.
Naveen Kaushik: Data Fluency Digital Toolkit Poster - Minor Prize

Poster selected as a Minor Prize winner in the Monash University Data Fluency Digital Toolkit Poster Competition, 2019.My poster was selected for this prize by a judging panel including Monash University Library, the Bioinformatics platform, eResearch and Data Futures Institute, based on the poster's content, design and aesthetics, innovation and originality, data visualisation and interdisciplinary approach.The poster outlines how I use tools taught in the Data Fluency Community of Practice for Time Series Forecasting using 1-D Convolutional Newtworks.
Publisher's Note: “Demonstration of a 6 state-4 state reference frame independent channel for quantum key distribution” [Appl. Phys. Lett. <b>115</b>, 211103 (2019)]

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Development of the Kyoto University Rare Materials Digital Archive

In this article, we describe the Kyoto University Rare Materials Digital Archive, which has been officially launched on December 1, 2017. As of January 29, 2019, the digital archive provides 12,793 titles, including historically important manuscripts, maps, and drawings. The digital archive has been developed to enhance resources for research in humanities, supported by the Open Access promotion project of Kyoto University. The digital archive is compatible with the IIIF (International Image Interoperability Framework), which provides a set of protocols to promote interoperable use of images over different institutions. Exploiting the IIIF, we have launched collaborations with external institutions. In order to understand to which extent the digital archive has been used, we compute the usage statistics using server logs recorded to the digital archive. The usage statistics reveals that the number of accesses to the digital archive has increased since its launch. Almost 60% of accesses come from Japan. Regarding accesses from foreign countries, we see a lot of accesses from China, the United States, and other Asian countries. In terms of influence from collaborations with external institutions, we do not see a significant increase of accesses to materials in the field of these collaborations. In order to promote the use of outcomes of the collaborations, we should reach to researchers and disseminate the outcomes to them.
A Proposal of Max-Min Ant System for Keeping Diversity of Search Performance Using Search Histories

Meta-heuristics is powerful technique for acquiring a semi-optimal solution in a usable time for a large and complex system, and has many strategies such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Ant Colony Optimization (ACO) and so on. Max-Min Ant System (MMAS) is one of improved ACO algorithms, which this algorithm sets up the range of the pheromone information for preventing overconcentration of the search area. However, MMAS has the limitation of search performance after convergence of pheromone information. In this paper, an improved MMAS using the search histories is proposed for keeping the diversity of search performance. The proposed method divides into two search groups after convergence of pheromone information, and one is the diversity group which changes new rule of pheromone update considering the search histories and the other is concentration group which uses the conventional rule of pheromone update. In the computational experiments, the proposed method has the potential to keep the search performance and diversity, and to provide the better solution.
Fan Cheng: Data Fluency Digital Toolkit Poster - Minor Prize

Poster selected as a Minor Prize winner in the Monash University Data Fluency Digital Toolkit Poster Competition, 2019.My poster was selected for this prize by a judging panel including Monash University Library, the Bioinformatics platform, eResearch and Data Futures Institute, based on the poster's content, design and aesthetics, innovation and originality, data visualisation and interdisciplinary approach.The poster outlines how I use tools taught in the Data Fluency Community of Practice in my exploratory data analysis of high dimensional data, paricularly the different dimensional reduction for a Swiss Roll dataset.
A Plan to improve Buddhist Cultural Contents in the area of 21st century digital contents -Focusing on Missionary Strategies for Youth and Implication for Buddism Education-

A Plan to improve Buddhist Cultural Contents in the area of 21st century digital contents -Focusing on Missionary Strategies for Youth and Implication for Buddism Education- - Digital content of Buddhist culture;Customized content by level;Reflection of youth’s fun and interest;Enhanced management of youth;and New paradigm for Buddhist education and missionary activities for youth