Reviewerly/exHarmony huggingface dataset:
The Impact of TEEAL on the usage of AGORA in Academic and Research Institutions in Ugand

The Essential Electronic Agricultural Library (TEEAL) and the Access to Global Online Research in Agriculture (AGORA) are key information support programs in learning, teaching, and research. They provide access to relevant scientific evidence, in agriculture and related sciences. While AGORA was introduced in Uganda in 2005, TEEAL was introduced earlier as a “Library in a Box” and later as LAN-TEEAL. With the recent increase in acquisition of TEEAL sets at a number of academic and research institutions in Uganda and with the TEEAL and AGORA campaigns through the training organized under the Information Training and Outreach Center for Africa (ITOCA), it is not clear how TEEAL has impacted on Agricultural research and on the usage of AGORA as an online program in Uganda. The aim of his paper was to explore how TEEAL is used compared to its counterpart, AGORA. The key question to this study relates to respondents’ preference among the two programs and the underlying reasons. An online questionnaire was used to gather responses regarding preference and use of the two programs by students, academics, librarians, IT specialists, and researchers at the various institutions in Uganda. The study was informed by a review of literature from related studies. Findings from 59 respondents indicate that all (100%) the respondents had an idea of TEEAL while for AGORA it was 58 (98.3%) respondents. Of the respondents, 52.5% preferred TEEAL to AGORA because it required no internet access, although the majority believed that AGORA was more important than TEEAL, due to the coverage of more relevant online scientific literature. The most prominent challenges to TEEAL and AGORA were network failures and slow internet, respectively. TEEAL and AGORA were both acknowledged to be very vital resources for academic and research institutions in Uganda. TEEAL mainly had one advantage over AGORA and that is being an offline resource that can be used in institutions with unreliable and inadequate internet. AGORA was also found to have an advantage over TEEAL in that it had a wider content coverage. The most common strategy for improving the use of both programs, as stated by the respondents, was increasing awareness through training and marketing. It was thus recommended that the program hosts utilize the results of this study to improve the utilization of these vital agricultural databases through further training and awareness. It was also recommended that institutions be advised to strengthen their IT infrastructure to support the programs and ensure effective use, for increasing their academic and research output.
The Impact of Auto-Refactoring Code Smells on the Resource Utilization of Cloud Software.

Cloud-based software-as-a-service (SaaS) have gained popularity due to their low cost and elasticity. However, like other software, SaaS applications suffer from code smells, which can drastically affect functionality and resource usage. Code smell is any design in the source code that indicates a deeper problem. The software community deploys automated refactoring to eliminate smells which can improve performance and also decrease the usage of critical resources. However, studies that analyze the impact of automatic refactoring smells in SaaS on resources such as CPU and memory have been conducted to a limited extent. Here, we aim to fill that gap and study the impact on resource usage of SaaS applications due to automatic refactoring of seven classic code smells: god class, feature envy, type checking, cyclic dependency, shotgun surgery, god method, and spaghetti code. We specified six real-life SaaS applications from Github called Zimbra, OneDataShare, GraphHopper, Hadoop, JENA, and JAMES which ran on Openstack cloud. Results show that refactoring smells by tools like JDeodrant and JSparrow have widely varying impacts on the CPU and memory consumption of the tested applications based on the type of smell refactored. We present the resource utilization impact of each smell and also discuss the potential reasons leading to that effect.
Generalized Matsui Algorithm 1 with Application for the Full DES

In this paper we introduce the strictly zero-correlation attack. We extend the work of Ashur and Posteuca in BalkanCryptSec 2018 and build a 0-correlation key-dependent linear trails covering the full DES. We show how this approximation can be used for a key recovery attack and empirically verify our claims through a series of experiments. To the best of our knowledge, this paper is the first to use this kind of property to leverage a meaningful attack against a symmetric-key algorithm.
Research Guides: Frontiers of Science Research Guide: Home

A guide to using the Columbia University Libraries for students in the Frontiers of Science course.
Listening in Place

Author(s): Dombroski, John | Advisor(s): Cartwright, Lisa; Trigilio, Michael | Abstract: The artwork described in this thesis suggests that we consider every sensory experience an active tuning of our senses and ourselves in relation to each other and the world. Through a series of interactive sound and light installations composed of microphones, audio cables, a piano, contact speakers, wind chimes, a camera obscura, a sound score, and the body of the artist’s car, this work emphasizes the interrelated nature of human existence and experience within the many contexts of a given site. Each work suggests reflection on the many systems in which our perceptions are embedded socially, physiologically, and phenomenologically. Each work is tuned to human presence in relation to context, specifically the UCSD MFA Main Gallery and the convention of the thesis itself.As installation of this exhibition was made impossible by the COVID-19 pandemic, this document outlines the aforementioned exhibition as a score to be realized and also describes an ongoing photo series, live binaural performance, and site-specific music performance made in the artist’s home and broadcast online during the “shelter in place” mandate. These works parallel core conceptual trajectories from the thesis: reorienting perspectives on the overlooked aspects of home and everyday space, and toward the significance of listening and sincere experience in relation to site, place, and others. This work strives to sensitize every aspect of embodied experience to the poetics of the familiar.
Partly functional / functional mock-ups and prototypes of PI2Us

This deliverable report examines the outcome of the construction of functional or partly functional prototypes or mock-ups of Personalized Interior Intelligent Environment Units (PI²Us) for demonstration and testing purposes, associated with Task T5.4. The first part of this document will give an overview of the relation of this task to other tasks of WP5, other work packages, and the larger framework of the REACH project. The second part sets out the details of the progressive development from early concepts to the current prototyping stage. Moreover, the subsequent lab-based testing is described in the third part of the report. This includes both already carried out and planned testing activities for either early stage validation or final demonstration in a naturalistic test environment. Finally, part four summarizes the results and puts the different prototypes in perspective to the respective touchpoints and the overall REACH engine functionality.
Head in the Clouds : A quantitative study on cloud adoption in a industrial setting

The purpose of this study is to investigate which factors that influence cloud adoption and contribute to existing research about cloud computing. Ten hypotheses were derived from the Technological ...
LibGuides: Return to Library 2021: Using the Library

This guide provides information for library users on returning to the library in the academic year 2020/2021.
Research Guides: TCC Votes: ID Requirements

Information about how to register to vote, what's on the ballot, eligibility, ID requirements, and more. List of ID requirements for registration and voting, as well as how to get an ID.
GSU Library Research Guides: Web Savvy -- General Guide: Mom's Across America

A multi-page tutorial on evaluating web sites, for beginners and those who think they know. An organization page missing vital information.
Hardware Store Order Processing System

The main objective of this project is to enhance the business processes of small and mediumsized hardware store with system. Order processing tend to be one of the most complex andimportant processes in business process hence improving the business with system isimportant. Various of problem can be solved by introducing system to improve businessoperation. The project stated off with fact gather where several types of fact gatheringtechniques has been adopted such as questionnaire and background research. Whereby thefact recording being adopted is UML diagram such as ERD diagram, activity diagram,sequence diagram and et cetera. The project are main focuses on 2 module which is customermanagement module and also point of sales module. Various methodology has been appliedin this project which is evolutionary prototype model which the model able to evolve basedon user feedback hence it can fit to the user requirement. In order to make sure every moduleworks as expected various testing had been carried out with developer and supervisor. In a nutshell, the core functional module of the system is working flawlessly but the weakness is thatthe system not able to generate report with various visualization and law of creativity on userinterface.
Analysis of changes in adolescence physical education class exercise time according to gender and self-awareness: Utilizing covariate in latent growth curve modeling

This study analyzed of changes in adolescence physical education class(PEC) exercise time according to gender and self-awareness using covariate in latent growth curve modeling(LGM). The Korea national youth policy institute surveyed and this study used 1883-adolescent(male=957, female=926) data. AMOS 26.0 program was used to analyze the LGM. Alpha level was set at 0.05. The results were as follows. First, the change in the PEC exercise time for six years(1st year of middle school to 3rd year of high school) changed nonlinearly. The PEC exercise time increased from the 1st grade to the 2nd grade in middle school, and continued to decrease from the 3rd grade in middle school to the 3rd grade in high school. Second, male students were more actively involved in the PEC in all grades than female students. Specifically, male students began to have higher the PEC during the first grade of middle school than female students, and the rate of decline was slower until the third grade of high school. Third, it was found that the higher the ego-resilience, the higher the participation time in the PEC during the first grade of middle school, but overall, self-awareness(ego-resilience, self-esteem) did not significantly affect the change in the PEC exercise time. Fourth, there was a significant difference change in exercise time between students during the PEC for six years. In addition, the higher the PEC exercise time in the first year of middle school, the slower the rate of decline even in high school.
Epidemiology and Clinical Characteristics of Patients with Glaucoma in a Hospital Based Population in Central India

CardiovascularDisease, Smoking, and use of Alcohol).Results: Data from 1345 Glaucoma patients were reviewed, of which POAG, PACG and SG patients accounted for 40% (538 patients) and 44% (592 patients) and16% (215 patients) respectively.Female Gender, Age, Cardiovascular Disease, and Hypertension were associated with PACG.POAG was related to Family History, Myopia and Age.There was Positive Correlation between SG and history of Injury and Diabetes Mellitus.In the Secondary Glaucoma Subgroup, 33 subjects had Aphakia,23 had Pseudophakia
A study of two sculptures and how they might interact with humans

We describe two sculptures from the exhibition made by Nisse Bergman the 14th of November 2019 at Konstfack University of Arts, Crafts and Design. We place the production of the sculptures in a sci ...
Las tecnologías de la información y comunicación como herramienta de inclusión social en la Educación Superior

espanolLa investigacion tiene como objetivo analizar Las Tecnologias de la Informacion y la comunicacion como herramienta de inclusion social en la educacion superior, siendo aplicada a diez cursos del Instituto Tecnologico Superior Babahoyo en el periodo 2017, donde existen estudiantes con algun tipo de discapacidad. A conveniencia de los investigadores se toma una muestra de 10 personas con discapacidad con quienes se interactuo dos veces por semana con el uso de internet en sus dispositivos moviles y laptops. Luego mediante la encuesta aplicada a la muestra nos refleja la importancia del uso tecnologico como parte fundamental en el proceso de educacion, donde todos los elementos arrojan un 93% como factible el uso de las TIC. Uno de los hallazgos mas relevantes fue identificar los recursos de TIC que poseen en los hogares los estudiantes con discapacidad en la encuesta y fue visible que la laptop es el dispositivo electronico mas utilizado. Estos datos muestran con certeza que el impacto de las TIC en el desarrollo integral de los estudiantes con discapacidad podria ser trascendental si fuese impartido de forma cotidiana y frecuente, tanto en contextos familiares como en contextos educativos y sociales. No obstante la investigacion conlleva a que se enfatice el uso de las TIC en el salon de clases sin distincion, ni discriminacion, mas bien de forma inclusiva. EnglishThe research aims to analyze Information and Communication Technologies as a tool for social inclusion in higher education, being applied to ten courses of the Higher Technological Institute Babahoyo in the period 2017, where there are students with some type of disability. At the convenience of the researchers, a sample of 10 people with disabilities is taken with whom they interacted twice a week with the use of the internet on their mobile devices and laptops. Then, through the survey applied to the sample, it reflects the importance of technological use as a fundamental part in the education process, where all the elements show 93% as feasible the use of TIC. One of the most relevant findings was to identify the TIC resources that students with disabilities have in the household and it was visible that the cell phone is one of the main resources they have, followed by the television, personal computer and the Internet, with The minimum result was the Tablet and laptop. These data show with certainty that the impact of ICT in the integral development of students with disabilities could be transcendental if it were taught on a daily and frequent basis, both in family contexts and in educational and social contexts. However, the research leads to emphasis on the use of ICT in the classroom without distinction, or discrimination, rather in an inclusive manner
Remarks on the micro-earthquake detection problem: Refining the outcome using stochastic modeling

&amp;lt;p&amp;gt;Methodologies dealing with the detection of micro-earthquakes and the accurate estimation of body waves&amp;amp;#8217; arrival time constitute, during the last decades, a topic of ongoing research. The extraction and efficient analysis of the useful information from the continuous recordings is of great importance, since it is a prerequisite for reliable interpretations.&amp;amp;#160; Small magnitude seismic events, either naturally-occuring or induced, have been increasingly used in a wide range of industrial fields, with applications ranging from hydrocarbon and geothermal reservoir exploration, to passive seismic tomography surveys.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A great number of algorithms have been proposed and applied up to now for seismic event detection, exploiting specific properties of the seismic signals both in time and in frequency domain, with the energy-based detectors (STA/LTA) to be the most commonly used, due to their simplicity and the low computational cost they require. A significant obstacle emerging at seismological identification problems lies on the fact that such processes usually suffer from a number of false alarms, which is significantly increased in extremely noisy environments.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;For that scope, we propose a &amp;amp;#8220;Decision-Making&amp;amp;#8221; mechanism, independent of the applied detection algorithm, which controls the results obtained during the detection process by minimizing false detections and providing the best possible outcome for further analysis. The specific scenario is based on the comparison among autoregressive models estimated on isolated seismic noise recordings, as well as on the detected intervals that resulted during the event identification procedure. A number of examples, associated with the implementation of the proposed scenario on real data, is presented with the scope of evaluating its performance. Several issues concerning the isolation of the seismic noise from the raw data, the estimation of the autoregressive models, the choice of the orders of the stochastic models etc., are discussed.&amp;lt;/p&amp;gt;
Library Guides: OneSearch Discovery Tool: Key Changes

Dacus Library has a new online catalog -- learn more about this change here. This page explains some of the changes and benefits of our new library management system.
Social Glue and Post-COVID Labour Markets: Evidence from a Task Census of a Large Corporation

ABSTRACT This research analyses the text of the complete set of job descriptions for a large corporation to produce a census of tasks useful for modelling likely technology-enabled changes to work. After briefly explaining the method for producing the task census, we describe a theme of tasks that appear widely in jobs not only across units, but also up and down the hierarchy. To summarize this finding, we call it social glue because the recurring tasks tend social ties that facilitate information exchange essential to performance of both individual jobs and the organization overall. In discussion of what social glue means for the future of work in a post-COVID world, we suggest the current rapid adoption of video-calling technologies and collaboration tools has already laid a foundation for new approaches to social glue that will have profound and lasting implications for job design, organization structure, and commuting patterns. ABOUT THE AUTHOR/S Mark T. Kennedy Imperial College London mark.kennedy@imperial.ac.uk Dr. Kennedy’s research focuses on the emergence of new markets and industries and the more basic building blocks of organising—categories, identities, forms, strategies, practices, reputation criteria and so on. Within this broad topic, he pays particular attention to meaning construction processes, often by using text-mining techniques to extract and analyze patterns of association among actors, ideas and objects as they appear in conventional and new social media. His publications have appeared in American Sociological Review, Academy of Management Journal, Organization Science, Journal of Managment Studies, and Research in the Sociology of Organizations. https://www.imperial.ac.uk/people/mark.kennedy Miguel Molina-Solana Imperial College London m.molina-solana@imperial.ac.uk Dr Miguel Molina-Solana currently holds a Marie Curie Research Fellowship position at the University of Granada. Before, he was a Marie Curie Research Fellow at Imperial’s Data Science Institute (DSI). He maintains a close collaboration with the College by participating in research projects, supervising students and performing short visits. His research experience comprises applied work in the areas of Knowledge Representation, Data Understanding, and AI. https://www.imperial.ac.uk/people/m.molina-solana New Future of Work 2020, August 3–5, 2020 © 2020 Copyright held by the owner/author(s).
A brief analysis on the methods of cultivating sketch ability of students in vocational schools

Vocational middle school; Art major; Ability to sketch; Tutoring
RME Berbasis Video Streaming untuk Meningkatkan Hasil Belajar Siswa Di SMP Darunnajah Wuluhan Jember

Most students assume that mathematics is a complex subject and has a higher level of difficulty in its teaching. The subject of this study is the seventh grade students of Darunnajah Wuluhan Jember Middle School. Based on the existing problems in this study, a problem was formulated, namely how the process of implementing RME based on Video Streaming in Grade VII students of Darunnajah Wuluhan Middle School and whether RME based on Video Streaming could improve students’ learning outcomes. The results revealed that the students’ learning outcomes respective in Cycle I was 70.05% and Cycle II was 94.1%. Thus, it shows an increase of 11.8% in mathematics learning. It can be concluded that RME based on Video Streaming can improve students’ learning outcomes.Keywords: RME, Video Streaming
Anomaly Detection in Streaming Time Series Data Using Active Learning and Metalearning

In this thesis a framework for finding anomalies in streaming data is proposed. The framework proposed is not necessarily applicable only to problems in anomaly detection, but could be applied to other problems as well. There are three main concepts at play in the framework: (i) Active Learning, a learning algorithm which can query a human specialist for labels of instance such that the model can improve, from an otherwise unlabeled data set. (ii) Ensemble which is a combination of models, often weaker models, where the idea is that the combined result from all models will mitigate the error in every single model and thus provide better results. (iii) Metalearning which is the concept of having a second model learn model characteristics for a problem. In this thesis metalearning will be used to weight ensemble members. The framework is displayed in Figure 0.1. The meta learner takes instances as input and output weights for each ensemble member according to its performance of previous similar instances. Thus the total output is a dynamically weighted ensemble output where the weighting is based onthe input. When a human expert provides label feedback on misclassified instances only the meta learner is updated in order to provide new weights for the ensemble to suppress the error and not the entire ensemble. We want to leverage the fact that different ensemble members have different characteristics which makes them more or less suitable to make predictions for certain instances. We weight the ensemble members using a neural network, taking the instance as input to weight the ensemble members in accordance with their capacity to make a prediction for certain instances. The loss to train the neural network is composed of two parts, the first a supervised part lossAAD, using the labels provided by a human expert, and a second part lossprior which places a uniform prior on the ensemble members. When new labels are provided the meta learner is updated so as not tomisclassify any of the labeled instances. The framework was tested on the Yahoo Webscope benchmark dataset consisting of four different types of time series. The proposed framework had an AUC of 0.9088, 0.9787, 0.8998 and 0.8123 for the four datasets corresponding to the second highest AUC for 2 data sets and third highest for the remaining 2 data sets out of the models that were used for comparison.
Energy Audit of MC-1

The goal of the Muon g-2 project is to measure the muon magnetic anomalous moment to a precision of 140 ppb. This is an unprecedented endeavor that will allow for the comparison of the standard model’s prediction and experimental value of the muon magnetic anomaly. If the difference is statistically significant this could mean there is physics beyond the standard model.