Reviewerly/exHarmony huggingface dataset:
Present State of the Art on Secure Data Deduplication in Cloud

Cloud is resource-rich distributed environment for outsourcing data and computations in pay as you go fashion. Organizations changed their business models with respect to computing resources. Different kinds of data are being outsourced to public cloud. The data also includes imagery that is essential in different real-world applications. However, providing privacy and security to the storage data is indispensable. From the cloud infrastructure point of view, it is essential to have provision for identifying duplicates in the objects stored and there needs to be a mechanism for secure deduplication. Deduplication at different levels of granularity is essential for improving performance of cloud infrastructure and also see that the privacy and security of data is not lost. The traditional methods used for deduplication do not work directly on the encrypted data. This has been overcome with certain deduplication methods that can act directly on the encrypted and outsourced data. The conventional cryptographic methods such as symmetric and asymmetric are not flexible to have flexibility in access control. Compressive sensing-based simultaneous data compression and security for data deduplication in cloud is the proposition desired. Toward this end, this paper reviews literature and find current academic thinking on this area of research. It covers various kinds of methods and provides valuable insights that help in further research in the area of secure storage of images in cloud in such a way that the deduplication process can be leveraged.
Contemporary Music in Students-Cellists Training Courses: Learning Problems

the article deals with various aspects of mastering the compositions written by avant-garde composers by cellist students. The cello repertoire, created in the XX–XXI centuries, is based on avant-garde writing techniques and non-traditional performing techniques, which are rarely included in the content of the disciplines of professional training programs for cellists, not only in music colleges, but also in universities. The methods of composition used by avant-gardists in works for cello, as well as the artistic concepts embodied by them, are considered in the article from the point of view of the problems of mastering the repertoire by students of higher educational institutions. The most effective methods of practical development of avantgarde works, which use modern writing techniques, are proposed. Among them: a demonstration method, in which the teacher shows the work in his own performance and the ways of performing the most difficult parts in the score; listening to the work performed by the master in audio or video recordings, as well as comparing the interpretations of different performers; careful analysis of the score and the means of artistic expression of the studied work, including independent and joint analysis with the teacher; development of your own interpretation concept with comments on each section of the composition and explanations of the means of expression.
ACM Multimedia 2019 and Reproducibility in Multimedia Research

The first months of the new calendar year, multimedia researchers traditionally are hard at work on their ACM Multimedia submissions. (This year the submission deadline is 1 April.) Questions of reproducibility, including those of data set availability and release, are at the forefront of everyone's mind. In this edition of SIGMM Records, the editors of the "Data Sets and Benchmarks" column have teamed up with two intersecting groups, the Reproducibility Chairs and the General Chairs of ACM Multimedia 2019, to bring you a column about reproducibility in multimedia research and the connection between reproducible research and publicly available data sets. The column highlights the activities of SIGMM towards implementing ACM paper badging. ACM MMSys has pushed our community forward on reproducibility and pioneered the use of ACM badging [1]. We are proud that in 2019 the newly established Reproducibility track will introduce badging at ACM Multimedia. Complete information on Reproducibility at ACM Multimedia is available at: https://project.inria.fr/acmmmreproducibility/
Library Guides: Linking to Library Resources: Library Catalog

This guide will show you how to link to resources in the DiPietro Library How to link to materials in the library's catalog
Abadan School of Medical Sciences students' viewpoints on information seeking behavior in the mobile smartphone environment

Abadan School of Medical Sciences students' viewpoints on information seeking behavior in the mobile smartphone environment
QUIZBOT: IMPLEMENTATION OF A CHATBOT-BASED CONVERSATIONAL INTERFACE FOR ENGAGING LEARNING CONTENTS

In achievement environment like higher education, effective study skills are a critical factor in the pursuit of academic excellence. Arguably, most learning at a university setting happens outside the classrooms,and mainly during independent study sessions. Mobile technology can be leveraged to maximise independent study sessions in the face of increasing study contents and abounding distractions that often lead to procrastination, in order to attain optimal mastery and retention of learning contents. The advancements in chatbot technology presents an opportunity for a “personal learning assistant” that would significantly boost student’s academic performance. In this paper, we report the implementation of a conversational interface for engaging of learning contents using chatbot technology. Through a conversational interface, our prototype reminds the student of their study schedules, generate multiple choice questions from various study contents uploaded by the student, administer quizzes to help the students attain mastery of the contents.
EDUCATION, DIGITAL TECHNOLOGIES AND THE COVID-19 PANDEMIC: AN ACCOUNT OF A FOREIGN STUDENT'S EXPERIENCES IN ITALY

EDUCATION, DIGITAL TECHNOLOGIES AND THE COVID-19 PANDEMIC: AN ACCOUNT OF A FOREIGN STUDENT'S EXPERIENCES IN ITALY
OPEN BADGES AND ONLINE COMMUNITIES FOR FACILITATING OPEN SCHOOLING AND COLLABORATION IN SCIENCE EDUCATION

F. Huber1, P. Leitner1, B. Jäger1, C. Gary2, C. Dworsky2, K. Iber2 1SYNYO GmbH (AUSTRIA) 2University of Vienna (AUSTRIA)
PROFEDU - AN ONLINE EDUCATIONAL NETWORK FOR SUPPORTING THE LEARNING PROCESS AND INCREASING THE MOTIVATION OF THE STUDENTS USING INTERDISCIPLINARY TRAININGS WITH PRACTICAL ORIENTATION

Information about the paper titled "PROFEDU - AN ONLINE EDUCATIONAL NETWORK FOR SUPPORTING THE LEARNING PROCESS AND INCREASING THE MOTIVATION OF THE STUDENTS USING INTERDISCIPLINARY TRAININGS WITH PRACTICAL ORIENTATION" at IATED Digital Library
Bayesian nonparametric multiway regression for clustered binomial data

We introduce a Bayesian nonparametric regression model for data with multiway (tensor) structure, motivated by an application to periodontal disease (PD) data. Our outcome is the number of diseased sites measured over four different tooth types for each subject, with subject‐specific covariates available as predictors. The outcomes are not well characterized by simple parametric models, so we use a nonparametric approach with a binomial likelihood wherein the latent probabilities are drawn from a mixture with an arbitrary number of components, analogous to a Dirichlet process. We use a flexible probit stick‐breaking formulation for the component weights that allows for covariate dependence and clustering structure in the outcomes. The parameter space for this model is large and multiway: patients × tooth types × covariates × components . We reduce its effective dimensionality and account for the multiway structure, via low‐rank assumptions. We illustrate how this can improve performance and simplify interpretation while still providing sufficient flexibility. We describe a general and efficient Gibbs sampling algorithm for posterior computation. The resulting fit to the PD data outperforms competitors and is interpretable and well calibrated. An interactive visual of the predictive model is available at the website ( https://ericfrazerlock.com/toothdata/ToothDisplay.html ), and the code is available at the GitHub ( https://github.com/lockEF/NonparametricMultiway ).
Spectrum of Clinical and Hematological Changes in Patients of Malaria: A Tertiary Care Hospital Experience in Gujarat

Background: One of the most common infections caused by protozoa in India is malaria.Malaria cases have different geographic distribution in different areas.So it is important that hospitals in different areas draw their own set of data regarding clinical and hematological characteristics of malaria.The present study was conducted to evaluate the spectrum of clinical and hematological changes in patients of malaria. Material and method:We conducted retrospective study at Pathology department, Sumandeepvidyapeeth, with 55 patients aged between 5 to 75 years.Results: Out of 55, 40 were males and 15 were females.PV constituted majority of the cases, followed by PF.We reported anemia in 34 of malaria cases.Maximum cases of anemia was seen in PF.Thrombocytopenia was seen in 42 of malaria cases.Maximum cases was seen in PV.Leucocyte count was within reference range in majority of our cases 42. Conclusion:Fever with rigors and chills, headache and splenomegaly are the most common clinical alteration and anemia and thrombocytopenia are most common hematological alteration in cases of malaria.Presence of these classic picture in a patient ever, helps diagnosing malaria at the earlier stages.In that way, early treatment can be introduced.
The cognitive emotion process

Different theories of emotions have been introduced since the 19th century. Even though a large number of apparent differences between these theories exist, there is a broad consensus today that emotions consist of multiple components such as cognition, physiology, motivation, and subjectively perceived feeling. Appraisal theories of emotions, such as the Component Process Model (CPM) by Klaus Scherer, emphasize that the cognitive evaluation of a stimulus or event is the driving component of the emotion process. It is believed to cause changes in all other components and hence to differentiate emotion states. To test the CPM and gain more insights into the multi-componential emotion process, the present thesis examines two emotion sub-processes – the link between the cognitive and the feeling component (study 1) and the link between the cognitive and the physiological component (study 2) – by using different predictive modeling approaches. In study 1, four theoretically informed models were implemented. The models use a weighted distance metric based on an emotion prototype approach to predict the perceived emotion of participants from self-reported cognitive appraisals. Moreover, they incorporate different weighting functions with weighting parameters that were either derived from theory or estimated from empirical data. The results substantiate the examined link based on the predictive performance of the models. In line with the CPM, the preferred model weighted the appraisal evaluations differently in the distance metric. However, the data-derived weighting parameters of this model deviate from theoretically proposed ones.Study 2 analyzed the link between cognition and physiology by predicting self-reported appraisal dimensions from a large set of physiological features (calculated from different physiological responses to emotional videos) using different linear and non-linear machine learning algorithms. Based on the predictive performance of the models, the study is able to confirm that most cognitive evaluations were interlinked with different physiological responses. The comparison of the different algorithms and the application of methods for interpretable machine learning showed that the relation between these two components is best represented by a non-linear model and that the studied link seems to vary among physiological signals and cognitive dimensions. Both studies substantiate the assumption that the cognitive appraisal process is interlinked with physiology and subjective feelings, accentuating the relevance of cognition in emotion as assumed in appraisal theory. They also demonstrate how computational emotion modeling can be applied in basic research on emotions.
Reconstruction and regularization multi frame super resolution on vegetation index NIR image

Vegetation index is measured using remote sensing with VNIR image acquired by satellites, one of them is PROBA-V. It gathers pair of low resolution (LR) images and high resolution (HR) images. The LR images is acquired faster but contains aliasing. Hence it can be processed into high resolution image using multi frame super resolution. But, to have an ideal LR image as a comparison, new synthetic LR image dataset is generated using only translation, gaussian PSF, and gaussian noise. Two type of approaches are used, reconstruction and regularization. Results from both methods are post-processed using median filter to remove noise due to error in super resolution process and poorly chosen hyperparameter. Then, the result is evaluated using PSNR and SSIM by compared to ground truth from dataset HR images. Also, simple bicubic interpolation is used to measure any information improvement by performing super resolution. For both LR images from dataset and synthesis, highest PSNR and SSIM are provided by regularization method due to its multiple iteration for predicting high resolution image, meanwhile reconstruction method only uses single iteration.
Library Guides: Collection Development Committee (CDC): Meeting Agendas

Previously the Collections and Online Resources Working Group – The CDC has been recently established and is composed by all faculty with liaison responsibilities.
Quality Control of Marine Big Data for Marine Physical Property Monitoring System

To make good use of the ocean, we must know enough about it. Supported by the Ministry of science and technology of China, the marine physical parameters monitor is developed to obtain real-time marine physical parameters such as temperature, humidity, pressure, rainfall, wind speed, wind direction, solar radiation, water depth, salinity, conductivity and other data. The integrated intelligent service software platform for marine physical property monitoring data is used for real-time collection, storage, historical data analysis, integrated display and other work of these data. As a part of the integrated intelligent service software platform, an improved big data quality control method which comprehensively uses the meteorological industry standards test, least square polynomial fitting, multiple regression and other technologies is proposed in this paper to improve the correct and efficient use of these real-time or historical data in terms of data inspection, correction, reconstruction and quality evaluation, etc. The existing historical data prove the effectiveness of this method.
Sistem Pelayanan Reservasi Kamar Hotel Berbasis Android (Publisher : STMIK Sumedang)

The hotel is a commercial building that provides facilities between lodging, luggage services, food and drink services and facilities for the use of hotel items (lodging). Limited room reservation information usually makes it difficult for the public or the user to find out. In this study the authors made an Android-based hotel room reservation system. This system is designed with the discussion of android studio programming, with this system it is very helpful for the public to find out information and help the hotel to make it easier to process about empty rooms. The presence of this Android-based reservation service system at sapphire home hotel is expected to provide convenience for the public to make room reservations online.
The Use Of Teaching Media In Expression Orale (Speaking) Class At French Education Study Program

The purpose of this study is to find and describe the use of teaching media and find out its role in improving students’ learning outcomes at French Language Education Study Program of Manado State University. This research uses classroom action research methods. The results show that the use of teaching media effectively improved student learning outcomes by increasing stundents’ mastery of learning subject by 20% and increasing student learning outcomes by 11.34%. The use of teaching media makes the teaching and learning process more interesting and arouses student interest and motivation. Keywords: teaching media, CAR, learning outcomes, interests, motivation.
NgaBatik: Application Interactive Games to Learn About Design Batik Ngawi Based Android Through The Application of STEAM Learning Model

Abstract Batik is one of the cultural heritages that have been established by UNESCO as a Cultural Heritage Humanity’s Oral and Non-material (Masterpieces of the Oral and Intangible Heritage of Humanity) since October 2009. Art Batik is the art over the cloths to clothe the beginning only used by the family empires only. The advancement of science in the field of information and communication technology, especially the use of handheld devices Android smartphone has changed the perspective and lifestyle in carrying out daily activities. This impacted on the traditional arts activities. The less the interest of the public to learn or just know about the background of this application that combines the advancement of science in the field of technology to load content such as batik, especially in Ngawi Regency so that people can preserve it.. This application is made into a games interactive education format mockup use software Marvell and is designed to run on devices with operating systems Android and if the teacher want to explain with the students, the teachers can use STEAM learning model.
IMPROVING STUDENTS’ READING COMPREHENSION OF NARRATIVE TEXT THROUGH INTERACTIVE READ-ALOUD TECHNIQUE OF THE TENTH GRADE STUDENTS AT MA ALHIDAYAH MUARA TELANG (A CLASSROOM ACTION RESEARCH)

The research was conducted to improve the tenth-grade students’ reading comprehension on narrative texts through the Interactive read-aloud technique at MA Alhidayah Muara Telang. The problems of this study were (1) most students do not respond to the lesson in the class activity, (2) The students have difficulties to comprehend reading text, (3) The students have a low interest to learn, (4) The students cannot express their response for giving questions about things, because they do not have enough vocabulary. The researcher applied classroom action research which had been conducted into two cycles, where every cycle has three meetings. Each cycle had four steps; they were planning, action, observation, and reflection. Based on the quantitative data, it showed that the students’ reading comprehension on narrative text marked a significant increase from the average score of reading comprehension within the two cycles. In the average score of the test, the first achievements’ score was 74 and the second achievements’ score was 87. The percentage of the first classical achievement was 54 % and the second classical achievements were 93 %. The researcher concluded that the interactive read-aloud technique could improve the students’ reading comprehension of narrative texts significantly.
LibGuides: Cultural Diversity in Children's Literature: Databases

This guide will provide resources about culturally responsive teaching and literature for Elementary Education students.
LibGuides: Streaming Video Resources: Getting Started

This guide will provide students, faculty, and staff with a number of streaming platforms available through the University of Illinois Libraries, as well as free streaming resources.
ATM Banking System

In financial framework, various branches are available and these are associated with the principle branch.Thus, a similar bank is situated at various areas for giving similar sort of banking administrations.Internet Banking is an electronic broadcast communications gadget that gives the clients of a monetary organization with admittance to monetary exchanges in a public space without the requirement for a human agent or bank employee The manual strategy for dealing with these banks from one area is troublesome, yet it very well may be effectively finished with an ATM programming application like this.With this ATM Banking System programming, different errands should be possible by a regular Bank Management Application, for example, adding client subtleties, seeing client money withdrawal/store subtleties, oversee banking accounts, creating pin, producing endless supply of money, and some more.The general financial strategy has gotten a lot simpler, agreeable and got also with ATM (Automated Teller Machine).ATM possesses saved clients energy for pulling out balance, checking late exchanges and checking bank balance from any area.With the proposed ATM Banking System, bank the executives is simpler with a more productive stage for overseeing client subtleties, dealing with their record and recording their exchange history.This venture can assist understudies with understanding the activities that are associated with plan ning ATM programming.The proposed framework is acceptable and it has a base highlights, however further improvements should be possible by adding new modules, highlights and sub -frameworks into this task.
Load Balancing Method Performance Analysis on Haproxy and Router OS

Increasing requests for client connections to servers on a network can cause a problem with server performance to decrease and too many user requests make the workload on the server increase rapidly resulting in the server being down, so we need technology that handles complex network usage. Then it can be solved with a load balancing system. Several studies on load balancing on haproxy and router OS with various algorithms applied will produce different performance, including round robin, least connections, and source algorithms on haproxy load balancing, while NTH, PCC, and ECMP on load balancing routers OS. Testing is done with 3 scenarios, scenario 1 with a load of 10 users, scenario 2 with a load of 20 users, and scenario 3 with a load of 30 users. The test parameters used are throughput, delay, and jitter using the webserver stress tool and wireshark. The results of the performance measurement of the load balancing method on haproxy generally show that the least connection is better than the round robin and source methods, this can be seen from the measurement figures for delay and jitter parameters that are best found in the loast connection method. While the results of the performance measurement of the load balancing method on the OS router, there are two, one shows that PCC is better, this can be seen from the measurement numbers of the delay and jitter parameters, then the second shows that the ECMP method is better, this can be seen from the throughput parameter measurement figures and delay.