scholarly journals A User Interface for Large-Scale Demographic Simulation

2014 ◽  
Author(s):  
Cristina Montanola-Sales ◽  
Josep Casanovas-Garcia ◽  
Bhakti S.S. Onggo ◽  
Zengxiang Li
Keyword(s):  
User Interface ◽  
Large Scale ◽  
Demographic Simulation

scholarly journals Interactive Exploration of Large-Scale UI Datasets with Design Maps

2021 ◽  
Author(s):  
Luis A Leiva ◽  
Asutosh Hota ◽  
Antti Oulasvirta
Keyword(s):  
User Interface ◽  
Point Cloud ◽  
Large Scale ◽  
Mobile Apps ◽  
Online Resources ◽  
Design Tools ◽  
Support Design ◽  
Design Exploration ◽  
Clustering Techniques ◽  
Cloud Points

Abstract Designers are increasingly using online resources for inspiration. How to best support design exploration without compromising creativity? We introduce and study Design Maps, a class of point-cloud visualizations that makes large user interface datasets explorable. Design Maps are computed using dimensionality reduction and clustering techniques, which we analyze thoroughly in this paper. We present concepts for integrating Design Maps into design tools, including interactive visualization, local neighborhood exploration and functionality to integrate existing solutions to the design at hand. These concepts were implemented in a wireframing tool for mobile apps, which was evaluated with actual designers performing realistic tasks. Overall, designers find Design Maps supporting their creativity (avg. CSI score of 74/100) and indicate that the maps producing consistent whitespacing within cloud points are the most informative ones.

scholarly journals SPIKY: a graphical user interface for monitoring spike train synchrony

2015 ◽  
Vol 113 (9) ◽  
pp. 3432-3445 ◽  
Author(s):  
Thomas Kreuz ◽  
Mario Mulansky ◽  
Nebojsa Bozanic
Keyword(s):  
User Interface ◽  
Spike Train ◽  
Graphical User Interface ◽  
Large Scale ◽  
Spatial Scales ◽  
Real Data ◽  
Basic Knowledge ◽  
High Temporal Resolution ◽  
Time Resolved ◽  
Significance Levels

Techniques for recording large-scale neuronal spiking activity are developing very fast. This leads to an increasing demand for algorithms capable of analyzing large amounts of experimental spike train data. One of the most crucial and demanding tasks is the identification of similarity patterns with a very high temporal resolution and across different spatial scales. To address this task, in recent years three time-resolved measures of spike train synchrony have been proposed, the ISI-distance, the SPIKE-distance, and event synchronization. The Matlab source codes for calculating and visualizing these measures have been made publicly available. However, due to the many different possible representations of the results the use of these codes is rather complicated and their application requires some basic knowledge of Matlab. Thus it became desirable to provide a more user-friendly and interactive interface. Here we address this need and present SPIKY, a graphical user interface that facilitates the application of time-resolved measures of spike train synchrony to both simulated and real data. SPIKY includes implementations of the ISI-distance, the SPIKE-distance, and the SPIKE-synchronization (an improved and simplified extension of event synchronization) that have been optimized with respect to computation speed and memory demand. It also comprises a spike train generator and an event detector that makes it capable of analyzing continuous data. Finally, the SPIKY package includes additional complementary programs aimed at the analysis of large numbers of datasets and the estimation of significance levels.

scholarly journals Validation of crystallographic models containing TLS or other descriptions of anisotropy

2010 ◽  
Vol 66 (8) ◽  
pp. 889-900 ◽  
Author(s):  
Frank Zucker ◽  
P. Christoph Champ ◽  
Ethan A. Merritt
Keyword(s):  
Crystal Structure ◽  
User Interface ◽  
Large Scale ◽  
Protein Structures ◽  
Protein Crystal ◽  
Web Servers ◽  
Protein Crystal Structure ◽  
Validation Tests ◽  
Case Validation

The use of TLS (translation/libration/screw) models to describe anisotropic displacement of atoms within a protein crystal structure has become increasingly common. These models may be used purely as an improved methodology for crystallographic refinement or as the basis for analyzing inter-domain and other large-scale motions implied by the crystal structure. In either case it is desirable to validate that the crystallographic model, including the TLS description of anisotropy, conforms to our best understanding of protein structures and their modes of flexibility. A set of validation tests has been implemented that can be integrated into ongoing crystallographic refinement or run afterwards to evaluate a previously refined structure. In either case validation can serve to increase confidence that the model is correct, to highlight aspects of the model that may be improved or to strengthen the evidence supporting specific modes of flexibility inferred from the refined TLS model. Automated validation checks have been added to thePARVATIandTLSMDweb servers and incorporated into theCCP4iuser interface.

Capsule-Based User Interface Modeling for Large-Scale Applications

2013 ◽  
Vol 39 (9) ◽  
pp. 1190-1207 ◽  
Author(s):  
Dragan Milicev ◽  
Zarko Mijailovic
Keyword(s):  
User Interface ◽  
Large Scale ◽  
Interface Modeling

scholarly journals ProteoCat: a tool for planning of proteomic experiments

2015 ◽  
Vol 61 (6) ◽  
pp. 770-776 ◽  
Author(s):  
V.S. Skvortsov ◽  
N.N. Alekseychuk ◽  
D.V. Khudyakov ◽  
A.V. Mikurova ◽  
A.V. Rybina ◽  
...  
Keyword(s):  
User Interface ◽  
Amino Acid ◽  
Graphical User Interface ◽  
Retention Time ◽  
Large Scale ◽  
Data File ◽  
Mass Spectrometric ◽  
Amino Acid Sequences ◽  
Peptide Fragments ◽  
Peptide Detection

ProteoCat is a computer program has been designed to help researchers in the planning of large-scale proteomic experiments. The central part of this program is the subprogram of hydrolysis simulation that supports 4 proteases (trypsin, lysine C, endoproteinases AspN and GluC). For the peptides obtained after virtual hydrolysis or loaded from data file a number of properties important in mass-spectrometric experiments can be calculated or predicted. The data can be analyzed or filtered to reduce a set of peptides. The program is using new and improved modification of our methods developed to predict pI and probability of peptide detection; pI can also be predicted for a number of popular pKa's scales, proposed by other investigators. The algorithm for prediction of peptide retention time was realized similar to the algorithm used in the program SSRCalc. ProteoCat can estimate the coverage of amino acid sequences of proteins under defined limitation on peptides detection, as well as the possibility of assembly of peptide fragments with user-defined size of “sticky” ends. The program has a graphical user interface, written on JAVA and available at http://www.ibmc.msk.ru/LPCIT/ProteoCat.

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