Assisted Interaction Data Analysis of Web-Based User Studies

2015 ◽  
pp. 1-19 ◽  
Author(s):  
Xabier Valencia ◽  
J. Eduardo Pérez ◽  
Unai Muñoz ◽  
Myriam Arrue ◽  
Julio Abascal
Keyword(s):  
Data Analysis ◽  
User Studies ◽  
Interaction Data ◽  
Web Based

Awareness of the preventive measures against Covid -19 spread among small shop owners

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1144-1150
Author(s):  
Muralidharan V A ◽  
Gheena S
Keyword(s):  
Infectious Disease ◽  
Data Analysis ◽  
Preventive Measures ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Positive Perception ◽  
Cross Sectional ◽  
Web Based ◽  
Small Shop ◽  
Structured Questionnaire

Covid -19 is an infectious disease caused by the newly discovered strain of coronavirus. As there is no vaccine discovered, the only way to prevent the spread is through following the practice of social isolation. But prolonged isolation may also lead to psychological stress and problems. The objective of the survey was to assess the knowledge and awareness of preventive measures against Covid 19 amongst small shop owners. A web-based cross-sectional study was conducted amongst the small shop owners.  A structured questionnaire comprising 15-17 questions had been put forth to assess the Covid 19 related knowledge and perception. The shopkeepers were contacted telephonically and responses recorded. The data analysis was performed using IBM SPSS statistics. Although the majority of the population had a positive perception about the preventive measures against the Covid spread, 36% of the shopkeepers were not aware of the preventive measures against the Covid spread. This study found optimal knowledge and perception of the preventive measures against Covid spread among the shopkeepers but misinformation and misunderstanding still prevailing. The shopkeepers are crucial in the prevention of the spread of Covid 19 and educating them might aid us in the fight against Covid- 19. 

Improvement of web-based data acquisition and management system for GOSAT validation lidar data analysis

2013 ◽  
Author(s):  
Hiroshi Okumura ◽  
Shoichiro Takubo ◽  
Takeru Kawasaki ◽  
Indra Nugraha Abdullah ◽  
Osamu Uchino ◽  
...  
Keyword(s):  
Data Analysis ◽  
Data Acquisition ◽  
Management System ◽  
Lidar Data ◽  
Web Based

Web-Based Resources for Enhancing Dietary Data Analysis: What We Eat In America, NHANES

2006 ◽  
Vol 106 (8) ◽  
pp. A81
Author(s):  
Jaspreet Ahuja ◽  
Nancy Raper ◽  
Cecilia Wilkinson Enns ◽  
Randy LaComb
Keyword(s):  
Data Analysis ◽  
Web Based ◽  
Dietary Data

scholarly journals WONKAandOOMMPPAA: analysis of protein–ligand interaction data to direct structure-based drug design

2017 ◽  
Vol 73 (3) ◽  
pp. 279-285
Author(s):  
Charlotte M. Deane ◽  
Ian D. Wall ◽  
Darren V. S. Green ◽  
Brian D. Marsden ◽  
Anthony R. Bradley
Keyword(s):  
Three Dimensional ◽  
Structural Data ◽  
Data Sets ◽  
Interaction Data ◽  
Activity Data ◽  
Ligand Interaction ◽  
Structure Based Drug Design ◽  
Web Based ◽  
Protein Ligand Interaction ◽  
Ligand Activity

In this work, two freely available web-based interactive computational tools that facilitate the analysis and interpretation of protein–ligand interaction data are described. Firstly,WONKA, which assists in uncovering interesting and unusual features (for example residue motions) within ensembles of protein–ligand structures and enables the facile sharing of observations between scientists. Secondly,OOMMPPAA, which incorporates protein–ligand activity data with protein–ligand structural data using three-dimensional matched molecular pairs.OOMMPPAAhighlights nuanced structure–activity relationships (SAR) and summarizes available protein–ligand activity data in the protein context. In this paper, the background that led to the development of both tools is described. Their implementation is outlined and their utility using in-house Structural Genomics Consortium (SGC) data sets and openly available data from the PDB and ChEMBL is described. Both tools are freely available to use and download at http://wonka.sgc.ox.ac.uk/WONKA/ and http://oommppaa.sgc.ox.ac.uk/OOMMPPAA/.

scholarly journals Idea Management Systems as a Tool for Goals’ Setting & Achieving and Decision Making: Global Research Results

2021 ◽  
Vol 129 ◽  
pp. 05008
Author(s):  
Elina Mikelsone ◽  
Tatjana Volkova ◽  
Aivars Spilbergs ◽  
Elita Liela
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Data Collection ◽  
Idea Generation ◽  
Value Added ◽  
Scientific Data ◽  
Web Based ◽  
Ongoing Research ◽  
Research Results ◽  
Idea Management

Research background: the authors have explored that there are different idea management system (IMS) application types that could be used both locally and globally for diverse reasons and expected outcomes. There is ongoing research on how IMS could be applied for manageable idea management process. But there is a question – how do these IMS types help to set and achieve goals, and improve decision making? Purpose of the article: The article aims to clarify how an external and mixed web-based IMS could be used during COVID19 time for distance idea generation sessions, as well as, to solve complex issues such as decision making, goals’ setting and reaching them based on different idea generation sources and critical reflection on those ideas of evaluators. Methods: Literature review (data collection: systematic data collection from scientific data bases; data analysis: content analysis). The survey of n>400 enterprises with web-based IMS experience globally (data collection: a survey; data analysis: statistics). Findings & Value added: this paper explores how different types of web-based IMS could be applied as a tool and support system for decision making processes in general, decisions towards goal setting and its outreach. The research results provide also a practical contribution - it could help to choose the most appropriate IMS application type to reach estimated goals and to empower decision making.

scholarly journals Using SWISH to Realize Interactive Web-based Tutorials for Logic-based Languages

2019 ◽  
Vol 19 (2) ◽  
pp. 229-261 ◽  
Author(s):  
JAN WIELEMAKER ◽  
FABRIZIO RIGUZZI ◽  
ROBERT A. KOWALSKI ◽  
TORBJÖRN LAGER ◽  
FARIBA SADRI ◽  
...  
Keyword(s):  
Data Analysis ◽  
User Interfaces ◽  
Web Application ◽  
Web Server ◽  
Educational Material ◽  
Graphical User Interfaces ◽  
Probabilistic Logic ◽  
Programming Environments ◽  
Web Based ◽  
Front End

AbstractProgramming environments have evolved from purely text based to using graphical user interfaces, and now we see a move toward web-based interfaces, such as Jupyter. Web-based interfaces allow for the creation of interactive documents that consist of text and programs, as well as their output. The output can be rendered using web technology as, for example, text, tables, charts, or graphs. This approach is particularly suitable for capturing data analysis workflows and creating interactive educational material. This article describes SWISH, a web front-end for Prolog that consists of a web server implemented in SWI-Prolog and a client web application written in JavaScript. SWISH provides a web server where multiple users can manipulate and run the same material, and it can be adapted to support Prolog extensions. In this article we describe the architecture of SWISH, and describe two case studies of extensions of Prolog, namely Probabilistic Logic Programming and Logic Production System, which have used SWISH to provide tutorial sites.

scholarly journals Perspectives on a mobile application that maps assistive technology resources in Africa

2019 ◽  
Vol 8 ◽  
Author(s):  
Surona Visagie ◽  
Rebecca Matter ◽  
George Kayange ◽  
Mussa Chiwaula ◽  
Mark Harniss ◽  
...  
Keyword(s):  
Data Analysis ◽  
Assistive Technology ◽  
Mobile Application ◽  
Information Provision ◽  
Partial Solution ◽  
African Countries ◽  
Web Based ◽  
Persons With Disabilities ◽  
Knowledge Resources ◽  
Technical Issues

Background: Access to assistive technology (AT) is poor in African countries because of a lack of knowledge, resources, services and products. A mobile application, the AT-Info-Map, was developed to map AT availability in southern Africa.Objectives: This article aimed to describe users’ and suppliers’ perceptions of the AT-Info-Map app.Method: Qualitative data were collected in Zambia, Botswana, Malawi and Lesotho, through nine focus group discussions with 72 participants. Participants included AT users, AT suppliers and representatives of disability organisations. Data were thematically analysed.Results: Two broad themes, that is, usefulness of the AT-Info-Map application and technical issues and content, emerged from the data analysis. Subthemes under usefulness focused on the importance of using current technology, convenience of the app, the need for accuracy, responsiveness of supplier to user’s needs, influence on AT market and how the app creates an opportunity for networking. Challenges to download and navigate the app, the need for training in its use, exclusion of those not literate in English and those with visual impairments were subthemes under technical issues and content.Conclusion: The app was perceived as an important step to increase access to AT for persons with disabilities in less resourced settings. The challenges that emerged from the data analysis have led to the development of a web-based system that will complement or replace the app and improve AT information provision. However, the information provided by the app and website is still only a partial solution to improve AT access in Southern Africa.

scholarly journals Facilitating Collaborative Analysis in SWAN

2019 ◽  
Vol 214 ◽  
pp. 07022
Author(s):  
Enrico Bocchi ◽  
Diogo Castro ◽  
Hugo Gonzalez ◽  
Massimo Lamanna ◽  
Pere Mato ◽  
...  
Keyword(s):  
Data Analysis ◽  
Special Kind ◽  
Service Model ◽  
Web Browser ◽  
Web Based ◽  
Single File ◽  
Cloud Storage Service ◽  
Collaborative Analysis ◽  
Interactive Data ◽  
The Ideal

SWAN (Service for Web-based ANalysis) is a CERN service that allows users to perform interactive data analysis in the cloud, in a “software as a service” model. It is built upon the widely-used Jupyter notebooks, allowing users to write - and run - their data analysis using only a web browser. By connecting to SWAN, users have immediate access to storage, software and computing resources that CERN provides and that they need to do their analyses. Besides providing an easier way of producing scientific code and results, SWAN is also a great tool to create shareable content. From results that need to be reproducible, to tutorials and demonstrations for outreach and teaching, Jupyter notebooks are the ideal way of distributing this content. In one single file, users can include their code, the results of the calculations and all the relevant textual information. By sharing them, it allows others to visualize, modify, personalize or even re-run all the code. In that sense, this paper describes the efforts made to facilitate sharing in SWAN. Given the importance of collaboration in our scientific community, we have brought the sharing functionality from CERNBox, CERN’s cloud storage service, directly inside SWAN. SWAN users have available a new and redesigned interface where theycan share “Projects”: a special kind of folder containing notebooks and other files, e.g., like input datasets and images. When a user shares a Project with some other users, the latter can immediately see andwork with the contents of that project from SWAN.

Sign in / Sign up

Export Citation Format

Share Document