Reviewerly/exHarmony huggingface dataset:
Vehicular cloud networking: evolutionary game with reinforcement learning-based access approach

In this paper, we study the vehicular cloud access problem. We model it as an evolutionary game where the vehicles choose to cooperate or to access the conventional cloud through the LTE link. We focus on the centralised case, and we study the equilibrium of both homogeneous and heterogeneous players analytically. We propose an evolutionary game-based vehicular cloud access algorithm (EG-VCA). Moreover, we propose a distributed Q-learning-based vehicular cloud access algorithm (QL-VCA) that allows each vehicle to select the way to access independently to avoid the use of a centralised controller. The simulation results show that QL-VCA and EG-VCA algorithms present almost the same performances. Also, they offer better results compared to the cases of using and accessing only the CC or the VC. Numerical results are also established. They outline the convergence of the two algorithms to the same state of equilibrium.
The Last Music Clifford Brown Heard before His Death on the Pennsylvania Turnpike, 1955

The Last Music Clifford Brown Heard before His Death on the Pennsylvania Turnpike, 1955 David Keplinger (bio) "He showed me it was possible to live a good clean life and still be a good jazz musician." –Sonny Rollins Everything that happened to Clifford Brown,"Brownie," the Goodman Brown of Jazz,whose life was true and clean, happened in the spanof twenty-five years until the accident. And to hear what happened you only have to listen to "Ghost of a Chance," a hard bop,Max Roach's drumscape, when he is back in Philadelphiain 1955, same year as my father in his Navy hat,serenading a wall of cigarette smoke at Ortlieb's, stone sober. But what I always think of when I thinkof what happened to Brownie, dead beforeI was born, is the rain, is the rain on a stretch of the Pennsylvaniaturnpike. His wife took the wheel so he could sleep. So he could rest his hands. So he could lay his headagainst the black Buick's window to the sound of syn-copated raindrops spattering in long flutes across the glass,before he planned to wake up, fresh, still famous, and in Chicago. [End Page 122] David Keplinger David Keplinger is the recipient of the TS Eliot Award (1999), the Colorado Book Award (2006), and two fellowships from the National Endowment for the Arts. He is the author of Another City (Milkweed Editions, 2018), The Most Natural Thing (New Issues, 2013), and three other collections poetry, as well as four collaborative translations from German and Danish. Copyright © 2019 Pleiades and Pleiades Press
UX Design for Mobile: Pablo Perea and Pau Giner [Book Review]

In a world where mobile apps are a dime a dozen, Pablo Perea and Pau Giner give mobile app designers the tools and tips to design successful mobile apps, and they do so in plain language. The book targets designers, developers, and product managers. However, regardless of the reader’s background, the instructional information is communicated clearly. UX Design for Mobile addresses all aspects of making a mobile application, from designing the app to solutions to potential problems, and finishing with prototypes and usability testing. Experienced users may already have most of the information provided in the book, but they will gain helpful tips and fresh perspective from Perea and Giner. Readers new to the mobile app will find this book an important point of reference when starting each step of the app creation process.
GraphFlow: A New Graph Convolutional Network Based on Parallel Flows.

In view of the huge success of convolution neural networks (CNN) for image classification and object recognition, there have been attempts to generalize the method to general graph-structured data. One major direction is based on spectral graph theory and graph signal processing. In this paper, we study the problem from a completely different perspective, by introducing parallel flow decomposition of graphs. The essential idea is to decompose a graph into families of non-intersecting one dimensional (1D) paths, after which, we may apply a 1D CNN along each family of paths. We demonstrate that the our method, which we call GraphFlow, is able to transfer CNN architectures to general graphs. To show the effectiveness of our approach, we test our method on the classical MNIST dataset, synthetic datasets on network information propagation and a news article classification dataset.
A Comparative Analysis on Efficiency of the Student Loan Repayment Policy in Ghana, Kenya, Tanzania, Rwanda and Nigeria

The Ghanaian student loan has been touted as an innovative policy to enhance human development yet the policy is contending with inherent inefficiencies. With the general objective of this study, to critically analyze the success and sustainability of the SLTF loan in Ghana through the repayment and recovery rate using the relative efficiency index (REI=Repayment Ratio / Recovery Ratio) as compare to other Africa countries. This research analyzed the repayment mechanism used in the Ghanaian SLTF and the other countries under study, focusing on a payment schedule, time-frame and the interest rate applied. From the research, although the repayment ratio is high mean, the value of loan amount is also high this suggests that there are gaps to be filled in terms of repayment. Loan repayment is also affected by the interest rate and the salary as shown in the data. The researcher recommends that the loan amount should be reviewed upwards while the repayment period of the student loan remains 10years. With trending issues based on others literature on student loans, the researcher can predict that the loan efficiency would be positive if a high percentage of the loans are paid by student borrowers within the repayment period.
Web Site Ranking Feedback System

We all search on google for something and get the results in the form of different websites with some description. We generally click on first or second website links if results are not found we go down on google page. The website ranking is given by search engines by different criteria. Last website won’t be seen by none of the people in most cases and first website will be having a great market compared to last website. So we need to help the last website to be moved up in results and help in generating revenue and have good rank on searching by giving feedback. This system will provide the difference between the first website and last website on the google results and will provide the feedback to the last website like content, links, images used by first website which helps the last website to be used in his webpage. This system is user friendly which is built on HTML as front end and Python flask as back end and used python package beautiful soup to parse HTML data and to automate browser behaviour with python. This system is done on web mining which has three categories firstly web content mining in which we scan the web pages and get to know the links, text, images used. Secondly web usage mining in which reports are generated after analysis which contain the details of text, images, links. Finally the web structure mining states that structural summary of website
DEFORMATION RETRACT OF A DIGITAL H-SPACE

In this study we investigate some properties of digital H-spaces and digital H-groups. It is shown that a _-deformation retract of a digital H-group is itself a digital H-group. Also we prove that there is a functor from the homotopy category of the pointed digital images to the category of groups and homomorphisms.
Introduction and Characterization of Local CU Wire as A Reducing Media for CHN Analyzer

A new reaction tube was tested for CHN content in six different ranged standard materials by using a CHN analyzer based on the local copper wire as a reducing agent.The obtained results using the local copper wire were too close to the theoretical values with very low variability (<4%) between replicates and very high accuracy (98-101%).Scanning electron microscope (SEM), energy dispersive X-ray analysis (EDAX) and Raman analysis instruments were displayed a data close to the high pure standard electrolytic copper (manufacturer reaction tube).It is observed that the physical properties of a local Cu wire are identical with standard electrolytic copper.It concluded that local copper wire s has efficient and might be used as a reducing agent in CHN analysis.
Generation the High Resolution DEM using ADS80 Aerial Push-Broom Camera

Digital elevation model (DEM) is widely used as a basic source of point elevation data in many environmental fields.Because of high applicability and simple structure, it is playing a significant role in many studies.ADS80 Camera is considered one of the most usable, benefit tools for terrain data generation that can be used to create the (DEM).The aim of this present study is to validate a Digital elevation model (DEM) by created using stereo pairs of Airborne Digital Scanner (ADS80).The digital photogrammetric data obtained with10.000ftaltitude flaying and 30cm GSD (ground sample distance) are evaluated through the relative vertical accuracy with regard to 30 points elevation obtained by Differential Global Positioning System (DGPS) throughout the tested area.G.P.S Leica Viva GNSS receiver is used to obtain these coordinates from entire study area areas for comparison with ADS80 imagery to get the accuracy of extracted (DEM).The RMSE, max, mean, min and Standard Deviation for the study are calculated from an area, about 1500 × 500 m 2 clos to Bader City, Egypt.The total RMSEz for elevation are found to be σΔz=±0.669m,STD=0.502m,mean=0.490m,max=1.644m,min=0.574m.According to standards of American Society for Photogrammetry and Remote Sensing (ASPRS)and the National Standard for Spatial Data Accuracy (NSSDA) the vertical accuracy for (DEM) extracting from ADS80 is reported at the 95% confidence level and it can produce contour map with contour interval of 2m and it can be categorized as Class VIII.
<scp>Frederick Mario Fales</scp> and <scp>Giulia Francesca Grassi</scp>, <i>L'aramaico antico: Storia, grammatica, testi commentati, con un'appendice paleografica di Ezio Attardo</i>

Journal Article Frederick Mario Fales and Giulia Francesca Grassi, L'aramaico antico: Storia, grammatica, testi commentati, con un'appendice paleografica di Ezio Attardo Get access Frederick Mario Fales and Giulia Francesca Grassi, L'aramaico antico: Storia, grammatica, testi commentati, con un'appendice paleografica di Ezio Attardo. Forum Editric Universitaria Udinese, Udine 2016. Pp. 315. Price: €35.00 paperback. ISBN: 978-88-8420-891-0. Edward M Cook Edward M Cook Catholic University of America E-mail: cooke@cua.edu Search for other works by this author on: Oxford Academic Google Scholar Journal of Semitic Studies, Volume 64, Issue 1, Spring 2019, Pages 297–300, https://doi.org/10.1093/jss/fgy034 Published: 25 February 2019
GNSS � From a Single Point of Failure to Multiple Points of Success or How to Avoid a PNT Zombie Apocalypse

Officials at the US Department of Homeland Security have called the nation’s over-reliance on GNSS "…a single point of failure for critical infrastructure." This presentation will examine studies and real world instances of GNSS disruption that demonstrate this challenge. A policy and technology roadmap to Protect signals, Toughen receivers, and Augment signals will be presented as a frame work for ensuring national PNT resilience.
Projection-Based Constrained State Estimation and Fusion for Tracking Over Long-Haul Links

In many mission-critical systems, a number of sensors are deployed to track ground targets with linear or nonlinear constraints on their motion dynamics. These sensors generate state estimates to be sent over long-haul links to a remote fusion center. We propose closed-form projection-based methods to incorporate known constraints into the estimation and fusion process. The extensive performance evaluation results demonstrate the extent to which projection-based fusion can improve the overall tracking accuracy performance in the presence of communication loss and delay.
Gold Metallogeny of the Egyptian South Eastern Desert

The South Eastern Desert, is the northern part of the Nubian Shield, characterized by abundant ophiolites, extensive high strain zones, and a multilayered structural architecture. Gold mineralisation is related to discrete occurrences of mesothermal quartz ± carbonate veins (< 100 m-long), cutting dismembered ophiolites and schistose metasedimentary-metavolcanic rocks. Though generally controlled by shear/fault zones, the mineralized quartz veins display a spatial association with granitoid-gabbroid intrusions exhibiting signs of forceful emplacement into the country rocks. In the areas where no intrusions are exposed, rhyolite and dacite dykes or granophyre sills appear to cut the structural trend in the host rocks and control the mineralized quartz veins. K-metasomatism is conspicuously associated with gold lodes, despite the variability of the host lithologies. Most of the mineralization is related to visible free-milling gold/electrum inclusions persistent in arsenopyrite or along pyrite fractures and grain boundaries, with subordinate invisible gold in As-pyrite. The mineralogy, fluid inclusions and stable isotope characteristics of several deposits in the region prove to reveal similar mineralization styles, ore fluids and isotope signatures, suggesting inherent similarities in the deposition process, fluid source and likely in the gold introduction related timing. Overheating by thrusting and concomitant calc-alkaline magmatism, along with metamorphic dehydration and devolatization promoted the circulation of hydrothermal fluids in a metallogenically fertile, mafic crust and deposited gold in accretionary and transpressional structures.
EVALUASI PENERAPAN SISTEM INFORMASI ABSENSI ONLINE DENGAN HOT FIT MODEL

ABSTRACT Attendance is a compulsory activity in lectures. STIKOM Bali uses an online attendance information system to attend student attendance in each teaching and learning process. To find out the success of implementing an information system needs to be evaluated. Evaluation is done so that the organization can find out the impact and benefits of implementing an information system for users such as lecturers and academic and organizational sections. Therefore it is necessary to evaluate the STIKOM Bali online attendance information system. This study evaluates success using the HOT Fit model. The selection of the HOT Fit model is because this model involves important components in the application of the system, namely human, technology and organization. The research methods used in this study are exploration of concepts and observations, analysis of variables and hypotheses, data collection and analysis and conclusions. Based on the results of hypothesis evaluation, eleven hypotheses proved significant. Based on this, it can be concluded that the success rate of the online attendance information system at Bali STIKOM is good. While based on the results of the regression test found the influence of the largest variable is the effect of system quality variables on user satisfaction and service quality on usage with the value of R Square of 62.5%. Keywords: attendance, online attendance information system, HOT Fit model &lt;br /&gt; &lt;br /&gt;ABSTRAK Absensi merupakan kegiatan wajib dalam perkuliahan. STIKOM Bali menggunakan sistem informasi absensi online untuk melakukan presensi kehadiran mahasiswa dalam setiap proses belajar mengajar. Untuk mengetahui keberhasilan penerapan sebuah sistem informasi perlu dilakukan evaluasi. Evaluasi dilakukan agar organisasi dapat mengetahui dampak dan manfaat penerapan sistem informasi baik bagi pengguna seperti dosen dan bagian akademik maupun organisasi. Oleh karena itu perlu dilakukan evaluasi terhadap sistem informasi absensi online STIKOM Bali. Penelitian ini melakukan evaluasi kesuksesan menggunakan model HOT Fit. Pemilihan model HOT Fit dikarenakan model ini melibatkan komponen penting dalam penerapan sistem yaitu human atau pengguna, teknologi dan organisasi Metode penelitian yang digunakan dalam penelitian ini adalah eksplorasi konsep dan observasi, analisis variabel dan hipotesis, pengumpulan dan analisis data serta penarikan kesimpulan. Berdasarkan hasil evaluasi hipotesis, sebelas hipotesis terbukti signifikan. Berdasarkan hal tersebut dapat disimpulkan bahwa tingkat kesuksesan sistem informasi absensi online pada STIKOM Bali baik. Sedangkan berdasarkan hasil uji regresi didapatkan pengaruh variabel terbesar adalah pengaruh variabel kualitas sistem terhadap kepuasan pengguna dan kualitas layanan terhadap penggunaan dengan nilai R Square sebesar 62,5 %. Kata kunci : absensi, sistem informasi absensi online, model HOT Fit &lt;br /&gt;
Disruption as Contingency: Music, Blockchain, Wtf?

The “disruptive” effect of emergent technologies has come to signify the promise of a better world, fuelled by unforeseen efficiencies in production and business; thus, the digital strategist Don Tapscott’s enthusiasm that blockchain, a quintessentially disruptive technology, will “make it rain” (Tapscott, 2016) for musical creatives, by increasing revenue from digital content. This chapter will draw on Joshua Gans’ The Disruption Dilemma, which discusses disruption in terms of market ecosystems, and After Finitude, where Quentin Meillassoux formulates a new paradigm for addressing the contingency that underpins human knowledge, and thereby offers a reconfiguration of disruption as a fundamentally contingent force.
Issue Brief 4: Plan S & the Quest for Global Open

Plan S is an ambitious, EU-based effort attempting to accelerate the global transition to open access. While this plan isn’t the only one trying to improve open, or the first, it has generated much interest and discussion. What does the future hold for this plan and for global open efforts in general? Time will tell.
Students’ Professional Attainment Evaluation Software Tool Based on WeChat

This paper designs and implements a student professional attainment evaluation software tool (WeChatPE) based on the WeChat platform. The attainment evaluation tool consists of three parts, namely the information collection module, the professional attainment evaluation module and the user management module. The information collection module includes student attainment information acquisition, student job seeking information acquisition, and position and teaching resource information acquisition. Student's professional attainment can be evaluated by obtaining the above three aspects. The specific evaluation content includes evaluation of the student's learning ability, work ability and overall ability. The User Management Module contains user registration and personal information management.
QAR Strategy for Effective Teaching of Reading Comprehension

The objective of study was to investigate the effect of implementation of Question Aswer Relationship(QAR) strategy on teaching reading comprehension at the third year students of MTsN 7 Aceh Besar.This study employed true experimental in which there were two classes taken as the sample, namely a control group which consisted of 21 students and an experimental group that consisted of 23 students. They were taken through random sampling tehnique. In addition, the data were collected through quantitative (pre-test and post-test) and qualitative method ( questionaire ). The result shows that the mean of the post-test score of the experimental group was 73.69, while the mean of the post-test scores of control group is 65.64. By comparing t-test score with t-table score, it shows that the result of t-test was 3.08, while the result of t-table at a level of significance with α = 0,05 was 2,021. It means that t-test score is higher than t-table score.The results indicate that alternative hypothesis was accepted and the null hypothesis was rejected. Moreover, the students’ responses toward the use of QAR strategy in learning reading comprehension were quite positive(80.9%). Finally, it can be inferred that QAR strategy is an effective strategy in teaching reading comprehension at the third year students of MTsN 7 Aceh Besar.
Survey: Deep Learning for Video Aesthetics

Aesthetics is defined by the properties of arts and beauty. In our day to day lives with the increase of multimedia requirements the aesthetic sense of images and videos has gained much importance. The earlier research was based on the Handcrafted features to assess the aesthetics of videos and images. In this paper, we review the deep learning techniques which effectively automate the video and image aesthetics analysis. Deep learning achieves an impressive performance in automated aesthetics analysis in comparison to Handcrafted features.
Impact of ICT for Collection Development Policy in University Libraries of Assam

The study is undertaking to determine the university library collection and the preservations of information in Assam. University library is treated as learning centre for promoting higher education. University libraries play a pivotal role for education, resources is the main component of the university library. Collection of resources reveals the university's status in terms of library services. ICT makes very easy to have access the resources of information in modern days. It not possible to have all collection in a particular library relating to printed documents. Now due to the proliferation of ICT, it is easy to enhance the better library services with the help of digital resources. In the present situation, the demand of the university students are day by day increasing and their uses, the requirement of the users can be possible to fulfil with the help of digital resources. Assam has a good number of universities with maximum numbers of collections in there libraries. It is necessary to study the area in a very systematic way. Therefore, study will be limited to some selected university library. ICT has changed the way of information is being produced, processed and accessed. The Internet has reached very remote places in the world and become a powerful medium to access the information because of availability of most of the information in electronic formats. Information seeking is a natural and necessary mechanism of human existence.
Optimized Service Function Chaining

This draft investigates possibilities to use so-called 'transport-derived service function forwarders' (tSFFs) that uses existingtransport information for explicit service path information. The draftdiscusses two such possibilities, focusing on realization of efficientchaining over single transport networks. In the first one, thetransport network is SDN-based. The second one introduces and explainsa specific service request routing (SRR) function to support URL-levelrouting of service requests.
IMPACTS OF DATA BREACHES ON ECOMMERCE GROWTH

ABSTRACT This paper addresses the relationship between data breaches and ecommerce revenues growth in the United States. Data breaches are categorized on the five-point scale utilized buy the breach level index site and aggregated quarterly. eCommerce performance is addressed as growth in eCommerce revenues relative to the same quarter in the prior year. The findings show that while security breaches have often had devastating effects of individual firms, there is no evidence of broader ecommerce slowdown as a result of breaches. In fact, breach level and ecommerce growth is positively correlated for the majority of breach types. Only existential data (at level-4) is negative correlated to ecommerce growth. That is highly level existential data breach is negatively affecting ecommerce growth while other breach levels are simply growing as ecommerce grows but leading to no real negative trend. Keywords Ecommerce Growth, Security Breaches, Breach Types, Breach Levels.