Reviewerly/exHarmony huggingface dataset:
Editorial — Virtual Special Issue: “Hierarchical Representations: New Results and Challenges for Image Analysis”

This editorial introduces the Virtual Special Issue: “Hierarchical Representations: New Results and Challenges for Image Analysis” that was handled between May 2019 and June 2020.
Research Guides: Tips and Tricks for Teaching Remotely: Preparing for Remote Teaching

This guide is intended to introduce you to material and resources that may help you when teaching a class remotely.
CONTENT BASED TWEET CLASSIFICATION ON TWITTER

Today, Social Media Networks are more powerful and popular than any other forms of media that exist and due to this global nature of social media, the amount of information available and being shared online by the users is tremendous. This large data that is available can be used for different purposes like marketing, data analysis, community detection, fraud detection, sentiment analysis, etc. In this work, we present a model to classify tweets in Twitter and therefore offer a solution to process large amounts of data and derive meaningful conclusions from the same. Here, we first collect tweets from different communities on twitter and process this raw dataset. This processed data is then converted into a vector form so that the textual information is converted to a numeric form for the machine to implement and then a text classification algorithm is applied to this dataset. Finally, after training the machine using this dataset, the working of the model and its accuracy is evaluated by using a dataset of test tweets where the machine predicts the category to which the test tweet belongs. With this model, we have been able to classify tweets into different categories and have achieved satisfactory results.
Research Guides: Resources for R programming language: Home

This page contains different resources for gaining knowledge about R, the open source language. It includes online resources, workshops and other help available through the library and other avenues on campus, and books available through the library
La sfida delle app contro il covid-19

The new phase of the international fight against the COVID-19 pandemic will require a period of coexistence with the virus and a careful contrast to the development of new outbreak. Thanks to advanced mobile technologies and their diffusion it is possible to think about the use of apps aimed at identifying and suppressing contagion chains before their own explosion, through the methodology of contact-tracing based on bluetooth technology. However, implementing that approch requires the solution of significant problems of a technical nature, but also of a legal nature, often different from country to country. The solution of the COVID-19 global problem would therefore require deep coordination between different nations, which will be the problem more difficult to solve.
User Centred design of Conversational UI for Wealth Management Customers

Conversational UI (CUI) like voice assistant and chatbot are being introduced to provide 24x7 enquiry response, advice and technical support. This study aims at assessing User Experience related fa ...
La terapia de la risa: la perspectiva de los clowns hospitalarios y de los profesionales de la salud en la ciudad de Santiago de Cali

The objective of the present investigation was, to set forth the attitudes of the health professionals and the hospital clowns of the city of Cali, regarding the Laughter Therapy, taking it into account as an Alternative and Complementary Therapy. A qualitative study was carried out, by means of thirteen semi-structured interviews, taking as sample nine health professionals (doctors, nurses and psychologists) and four hospital clowns. It was found that Laughter Therapy is known in the field of health, as a job that hospital clowns commonly do, with the objective of ensuring the whole wellbeing of a people of different ages and in various clinical states, through laughter and humor; helping to reduce the psychological, physical, social and emotional symptoms of each person and reduce the dehumanization factor of health care. Therefore, as a conclusion, it is vital to emphasize the importance of integrating the Laughter Therapy into the health professional’s attention and considering it a supporting complement to Conventional Medicine; however, there is little interest in this topic and in general in the CAT, by the health system, the health professionals and the Colombian society. This is due to the lack of knowledge and value given to the emotional aspect of a hospitalized patient and insufficient evidence of long-term changes in patient’s health.
LibGuides: Cataloging Guide: Cataloging Maintenance Procedures

Find here topics of interest for staff working in the Cataloging module within Aleph. Services used to correct and manipulate records in the system.
CLOUD BASED CRYPTOGRAPHY BY USING QUANTUM KEY DISTRIBUTION

In present days the technology of cloud computing is very useful. Cloud computing usage has been increased very fast in most of the organizations. Security is a very sensitive aspect in the environment of cloud computing because most sensitive data or information is saved in the cloud by the user. To maintain the information and applications it uses central remote servers or internet as well. Without any installation using the cloud communication the end users can use these applications. By using the cloud computing environments and is actual very flexible but many of the question arises that how can we gain an environment which is trusted or how our data or applications are safe and sound by the intruders and hackers. Problems in cloud are that, the data isnÂt more secure in cloud and could be hacked by any third party. Moreover, other threats are such as data loss, userÂs data theft or privacy issues. This paper surveys the new cryptographic area or environment which is safer or trusted using the quantum mechanism.
Analisis Hasil Friction Stir Welding Aluminium 5083-H112 Menggunakan Taper Threaded Cylinder Pin dengan Variasi Kecepatan Rotasi dan Translasi:

The technique of joining aluminum with the conventional fusion welding method is still difficult to be applied, because aluminum series has low weldability, therefore, a new method is developed, friction stir welding (FSW) which is a solid-state welding. In this study, the optimization process of the translation speed was carried out using aluminum 5083-H112 workpiece with a thickness of 10 mm. This optimization process includes observing and testing the effect of translational speed on microstructure, strength, hardness and toughness on the weld area. The tool that is used in this optimization process is a taper threaded cylinder pin type, with pin diameters 4 and 7 mm, pin height 9.5 mm, left hand threaded, and the material used is AISI H13. The optimization process produces 3 translation speed parameters, 31.5 mm/min; 50 mm/min; and 63 mm/min with constant rotational speed, 1250 rpm. These three parameters change the microstructure in the weld area, where there are 3 microstructure areas observed, weld nuggets (WN), thermomechanically affected zone (TMAZ), and heat affected zone (HAZ). Whereas mechanical properties such as strength, hardness and toughness tend to decrease along with the increase in welding translational speed.
Monte-Carlo Tree Search in Continuous Action Spaces for Autonomous Racing : F1-tenth

Autonomous cars involve problems with control and planning. In thispaper, we implement and evaluate an autonomous agent based ona Monte-Carlo Tree Search in continuous action space. To facilitateth ...
LibGuides: All About eBooks: Citing eBooks

A guide to finding and using ebooks at the University of Namibia You may need to cite ebooks you have read. This guide has advice on ebooks and page numbers.
Corona Defiance Gallery

This paper is about the blog serving to promote optimism at this challenging pandemic time and generate a gallery for students who will lose much of the teaching content in their classes without being able to visit exhibitions planned in their learning journey this year. The argument in it goes beyond the project and takes into account the changes in pedagogy that are re-defining the student-tutor relationship.
Image Labeler: A Web Interface to Catalog Earth Science Events

Advances in machine learning (ML) have made it possible to automatically detect Earth science phenomena from satellite imagery. While useful, ML algorithms typically require an extensive dataset containing labeled images for training. Systematic labeling and management of such datasets is quite cumbersome. With this in mind, we present the Image Labeler. Image Labeler is a fast and scalable cloud-based tool that facilitates the rapid development of Earth science event databases, in order to aid automated ML-based image classification.
Taking the Tablets Home: Designing Communication Software for Isolated Older People at Home

Designing new technology for older people requires the ability to translate specific requirements from a heterogeneous group of people into a suitable application framework. As the proportion of older people continues to increase worldwide, the authors faced with a number of challenges to enable older people to remain at home and still have a quality of life. Many older people are technophobic, unfamiliar with modern computers or somewhat reticent about learning to use them, so ergonomic design is essential to ensure usability. The dependability model for assistive technology systems developed by Dewsbury et al has been developed as a basis for discussing and analysing home technology systems such as the Tablet software. By considering the needs of participants and directly reflecting them in the design process has led to a more efficient design which is clearly useable by the participants.
TRIED-AND-TRUE CLOUD ARCHITECTURE USING MULTI CLOUD THREADING MODEL AS FUNDAMENTAL BODY

As we know that cloud is the major and hot domain of information technology to be relay-on for data storage. So, more the data more will be the security issues to be resolve, if we rely on a single provider the data will be in great danger to be attacked or stolen by some ID, we may call stolen Id. This security threat is mainly occurring in the mobile data storage where cloud provider cant handle the data to be more accurate and safer. If we see on the consumer point of view the major and crucial factor is to enhance the security and make their data to be more valuable and safer to use for them without any inconvenience. In this aspect the business and cloud organizations also moved in the way to have multi-cloud on their side to have more users on their deck to have bigger income. So, in this work we propose the structure that is involved in the multi-cloud architecture to secure the data and store the data. It is like the static to dynamic travel to have a multiple cloud rather than having only one provider. We provide a good architecture with standard up to the mark algorithm to have a multi-cloud system to develop the structure to have customer trust to have data on cloud or any outsourced firm or organization to work and enhance their capabilities to store any type of secure and variable data, by using the surveys methods we use.
Research Guides: Evaluating Websites and Other Sources: The CRAP Method

Strategies to help identify trustworthy and reliable information. A short checklist of things to consider when evaluating sources, especially websites.
IMPROVING READING DESCRIPTIVE TEXT ACHIEVEMENT OF THE TENTH GRADE STUDENTS OF SMA NEGERI 10 PALEMBANG THROUGH THINK, PREDICT, READ, AND CONNECT (TPRC) STRATEGY

This study aimed to find out whether or not there was (1) an improvement significant difference in students’ reading descriptive text achievement before and after they taught using TPRC Strategy, (2) a significant difference in reading descriptive text achievement between students who were taught by using TPRC Strategy and those who are not. The sample of the study was 80 tenth grade students of SMA Negeri 10 Palembang selected by using purposive sampling. This study used quasi-experimental research design with pretest and post of experimental and control groups. The results of this study revealed that their past tense was a significant difference in reading descriptive text achievement between before and after being taught by using TPRC ( p -value > 0.05, p -value= 0.000), and there was a significant difference in reading descriptive text achievement between the students who were taught by TPRC strategy and those who were not ( p -value > 0.05, p -value= 0.000). It indicated that teaching reading descriptive text by using TPRC could help the students improve their reading achievement.
LibGuides: We'll Get it for you!: Table of Contents

During the COVID-19 pandemic, the UM Libraries is providing digital and pickup locker delivery of our print collections. Find the Table of Contents
Guides: LGBT+ Resources: Trans+

Resources and research on LGBT+ topics. Resources specifically on transgender, intersex, and genderqueer people.
Choose Top Website Development Company in Delhi

Vibrantwebtech is a Website Development Company in Delhi which offers website development Services.Over the decade, there’s a lot that has transformed in the E-commerce and Services sector.
LSC-North Harris Library Research Guides: North Harris Library Makerspace: Video and Audio Recording

Information about the tools and events in the LSC-North Harris Library Makerspace Link to Video and Audio Recording Guides
Library Guides: Odegaard Online Reading Recommendations: Book Bingo 2021

An online collection highlighting digital titles available from UW Libraries that count toward your SPL & SAL 2020 Book Bingo challenge. Make sure to visit their website to get your Bingo card and submit your entry!
Placing a spin on cryptography and hardware authentication

Using the random orientation of the magnetization of a ferromagnetic dot after the removal of a current pulse, researchers developed a method of generating a cryptographic key for hardware security using spin-orbit torque.
Info Guides: Teen Summer Reading: Choose Your Own Adventure/Escape Rooms

Expand your horizons, get creative and try something new this summer by taking part in our teen summer reading challenge! Grades 7-12.
Exploiting Human Perception for Adversarial Attacks

Author(s): Quan, Pengrui | Advisor(s): Srivastava, Mani B. | Abstract: There has been a significant amount of recent work towards fooling deep-learning-based classifiers, particularly for images, via adversarial inputs that are perceptually similar to benign examples. However, researchers typically use minimization of the $L_p$-norm as a proxy for imperceptibility, an approach that oversimplifies the complexity of real-world images and human visual perception. We exploit the relationship between image features and human perception to propose a \textit{Perceptual Loss (PL)} metric to better capture human imperceptibly during the generation of adversarial images. By focusing on human perceptible distortion of image features, the metric yields better visual quality adversarial images as our experiments validate. Our results also demonstrate the effectiveness and efficiency of our algorithm.
CLOUD COMPUTING IN HIGHER EDUCATIONAL INSTITUTIONS

The dynamic education environment has compelled educational institutions to discover alternatives to optimize their data technology platform's costs and operational effectiveness. Cloud computing has developed as an important technology that could add more value by offering software and infrastructure alternatives for the university's whole IT needs on the web. In this article, the effect of cloud computing on academic organizations will be discussed and the main variables that make cloud computing excellent in educational institutions. The significance of using private cloud computing in education is demonstrated in a case study conducted at Al-Zaytoonah University (Jordan). The case study results indicate that cloud computing can save the cost and resources of university systems. It also shows that cloud resources offer learners and employees easy access and make cooperation more effective and efficient.
Brandon Roy's Project

Brandon Roy's 2020 ARS Nova Project called Sentiment Analysis on Tweets Using Machine Learning and Combinatorial Fusion
Causal and Non-Causal Explanations of ArtificialIntelligence

Deep neural networks (DNNs), a particularly effective type of artificial intelligence, currently lack a scientific explanation. The philosophy of science is uniquely equipped to handle this problem. Computer science has attempted, unsuccessfully, to explain DNNs. I review these contributions, then identify shortcomings in their approaches. The complexity of DNNs prohibits the articulation of relevant causal relationships between their parts, and as a result causal explanations fail. I show that many non-causal accounts, though more promising, also fail to explain AI. This highlights a problem with existing accounts of scientific explanation rather than with AI or DNNs.
Three Looming Figures of the Digital Transformation

The impact of the digital transformation on human experience is examinedin terms of three key factors, namely: Self, Space and Time.
STUDENTS’ ATTITUDES TOWARDS SOUTH JAKARTA’S YOUTH LANGUAGE

This study presents the results of a qualitative survey of 56 English Language and Literature study program at Universitas Pendidikan Indonesia. It highlights their attitudes towards the code-switching practices in Bahasa Jaksel. The data were obtained through questionnaire with the students from batch 2015 to 2019 The study employed theories on language attitudes by Crystal (1997) to analyze the data. The findings demonstrated that the students show different attitudes. Overall attitudes of the students were unanimously negative towards the code switching practice in Bahasa Jaksel. The study also found that these attitudes can be related to a number of factors/reasons, i.e. Comprehensibility, appropriateness, language threat, education, intelligence and perception. The findings suggest that the students felt the use of code-switching in South Jakarta is not suitable to be used in real life situations.
Research Guides: OER & Affordable Course Materials: Home

Resources to aid faculty in the areas of copyright/fair use, OER resources and integrating articles into Canvas
Instrument of Failure

**Gelido** is an experimental music, sound and light project fusing field recordings of machines malfunctioning, micro edited sound structures and electronica. These machines saturate our day to day environment more than ever today and offer a unique sonic landscape of possibilities that can be used as source material to compose artwork from. The use of error within digital systems as a mode of creative expression is the main focus of Gelido's audio visual performances and focuses on an attention to detail with a unique fusion of sounds taking influence from Alva Noto and Ryoji Ikeda.Instrument of Failure is a stereo audiovisual collage composed from a number of processes exploiting the use of malfunctions in digital technologies. The work utilises the ‘error’ as being a raw material to create something new. This collection of audiovisual imperfections displays the vulnerability of the systems that are most commonly used to create finely tuned works which aim to be as close to perfection as possible. The ‘glitch aesthetic’ in this work is not utilising failure in the traditional sense of the word, but is an intrinsic part of the creative content. Works using these methods and ideas have been given various genre titles including “glitch, microwave, DSP (digital signal processing), sinecore and microscopic music” (Casone, 2000).
Information, Price, and Barriers to Adoption and Usage of Mobile Money Evidence from a Field Experiment in the Gambia

Mobile money has been heralded as a way to foster financial inclusion. While it has become popular in developing countries, most notably in African nations, there are still strong barriers to its adoption and usage. The purpose of this study is to examine the extent to which a lack of information and high prices are limiting factors in the adoption of mobile money. We implemented a simple randomized controlled trial among a group of difficult-to- access potential users: mobile phone users in The Gambia who had opened mobile money wallets but had not made a transaction. We offered meaningful price discounts on withdrawal charges, and made these discounts salient by reminding users about them every month for a period of six months. Our analysis measures different dimensions of mobile money use by drawing from administrative mobile phone company records. We also carried out a post- treatment survey to gauge knowledge about, and attitudes towards, mobile money. Our results indicate that treated individuals were substantially more aware than controls about the uses of mobile wallets and about the meaningful discounts of 15% and 30% offered. However, only a small fraction of treated individuals started using mobile wallets, and the difference was not statistically significant. Perceptions of safety, trust in the platform, and service reliability were not significantly different between treated and controls. However, treated individuals were more likely to perceive the service charges to be expensive. We interpret this as evidence that our population of interest was uninformed about the platform at large. While our treatment increased awareness about its capabilities and operation, potentially fostering its adoption, it also increased awareness of the relatively high fees it involves, which in turn limited usage. Both a lack of information and high prices need to be addressed to foster the adoption and usage of mobile money in developing countries.
Heart Disease Prediction Using Machine Learning Algorithms

This paper is focused on the possibility of having heart disease by training four machine learning algorithms. By using the data provided by the UCI Machine Learning Repository, we can analyze and compare the models of logistic regression, random forest, extreme gradient boosting and neural network to choose the most robust model and determine important features in our model.
A Survey on Authorship Attribution Issues of Arabic Text

Authorship attribution is a hot research domain which includes many issues such as discovering whether a specific text possesses to a specific author or not, solving the problem of authorship attribution claim between authors of one disputed work, discrimination between two or more stylometric of authors, detecting the most probable author for an unknown text and studying the difference between Stylometric of authors according to gender or political view or religion or education or job or motivation... and so on. Many attempts have been started to solve these problems using statistical methods such as Nai¨ve Bayes and Bayesian. Recently, other efforts have been done in this domain by utilizing artificial intelligence techniques such as machine learning and natural language processing... and so on. This paper presents a literature review of the utilization of machine learning techniques in authorship attribution. Besides, it covers the main approaches to solve different recent issues in Arabic authorship attribution.