Advancements in Mobility Data Analysis

2018 ◽  
pp. 11-16
Author(s):  
Mirco Nanni
Keyword(s):  
Data Analysis ◽  
Mobility Data

Discovering Mobility Functional Areas: A Mobility Data Analysis Approach

2018 ◽  
pp. 311-322 ◽  
Author(s):  
Lorenzo Gabrielli ◽  
Daniele Fadda ◽  
Giulio Rossetti ◽  
Mirco Nanni ◽  
Leonardo Piccinini ◽  
...  
Keyword(s):  
Data Analysis ◽  
Analysis Approach ◽  
Mobility Data ◽  
Functional Areas

MAGIS – A Geographic Information System for Mobility Data Analysis

2019 ◽  
Author(s):  
Lennart Adenaw ◽  
Julian Kreibich ◽  
Michael Wittmann ◽  
Lukas Merkle ◽  
Adam Waclaw ◽  
...  
Keyword(s):  
Information System ◽  
Data Analysis ◽  
Geographic Information System ◽  
Geographic Information ◽  
Mobility Data

Generation Y in Poland – Expectations and Attitudes of Young People

2016 ◽  
Vol 6 (1) ◽  
pp. 8
Author(s):  
Agnieszka Stanimir
Keyword(s):  
Twentieth Century ◽  
Data Analysis ◽  
Young People ◽  
Generation Y ◽  
Small Difference ◽  
Subjective Evaluation ◽  
Mobility Data ◽  
Young Students ◽  
Almost All

The article presents an assessment of students studying economics who belong to the Generation Y. Generation Y is a group of people born in the 80s and 90s of the twentieth century. The aim of this study was to verify the correctness of judgments about Generation Y. The article presents results concerning the behaviour of students in 2001 and 2015 years. Subjective evaluation of opinion of Generation Y was examined in the areas of faculty chosen, work, internet, mobility. Data analysis was performed using positional statistics, bar diagrams and parallel set. It was confirmed almost all opinions about Generation Y, indicating only a small difference in the perception of mobility by young students of economics.

scholarly journals TIMSCONVERT: A workflow to convert trapped ion mobility data to open data formats

2021 ◽  
Author(s):  
Gordon T Luu ◽  
Itzel Lizama-Chamu ◽  
Catherine S McCaughey ◽  
Laura M Sanchez ◽  
Mingxun Wang
Keyword(s):  
Data Analysis ◽  
Ion Mobility ◽  
Open Data ◽  
Data Conversion ◽  
Mass Spectrometers ◽  
Mobility Separation ◽  
Mobility Data ◽  
Data Files ◽  
Using Data ◽  
Ion Mobility Separation

Advances in mass spectrometry instrumentation have led to the development of mass spectrometers with ion mobility separation (IMS) capabilities and dual source instrumentation, but the current software ecosystem lacks interoperability with downstream data analysis using open-source software/pipelines. Here, we present TIMSCONVERT, a data conversion workflow from timsTOF fleX MS raw data files to size conscious mzML and imzML formats with minimal preprocessing to allow for compatibility with downstream data analysis tools, which we showcase with several examples using data acquired across different experiments and acquisition modalities on the timsTOF fleX. Availability and Implementation: TIMSCONVERT and its documentation can be found at https://github.com/gtluu/timsconvert and is available as a standalone command line interface, Nextflow workflow, and online in the Global Natural Products Social (GNPS) platform (https://proteomics2.ucsd.edu/ProteoSAFe/index.jsp?params={%22workflow%22%3A%20%22T IMSCONVERT%22}).

scholarly journals Urban Mobility Data Analysis for Public Transportation Systems: A Case Study in Montevideo, Uruguay

2020 ◽  
Vol 10 (16) ◽  
pp. 5400
Author(s):  
Renzo Massobrio ◽  
Sergio Nesmachnow
Keyword(s):  
Data Analysis ◽  
Public Transportation ◽  
Web Application ◽  
Transportation Systems ◽  
Mobility Patterns ◽  
Economic Activities ◽  
Ticket Sales ◽  
Mobility Data ◽  
Public Transportation Systems ◽  
Urban Data

Transportation systems play a major role in modern urban contexts, where citizens are expected to travel in order to engage in social and economic activities. Modern transportation systems incorporate technologies that generate huge volumes of data, which can be processed to extract valuable mobility information. This article describes a proposal for studying public transportation systems following an urban data analysis approach. A thorough analysis of the transportation system in Montevideo, Uruguay, and its usage is outlined, combining several sources of urban data. Furthermore, origin-destination matrices, which describe mobility patterns in the city, are generated using ticket sales data. The computed results are validated with a recent mobility survey. Finally, a visualization web application is presented, which allows conveying mobility information in an intuitive way.

scholarly journals Epidemic versus economic performances of the COVID-19 lockdown in Japan: A Mobility Data Analysis

Cities ◽  
2021 ◽  
pp. 103502
Author(s):  
Haoran Zhang ◽  
Peiran Li ◽  
Zhiwen Zhang ◽  
Wenjing Li ◽  
Jinyu Chen ◽  
...  
Keyword(s):  
Data Analysis ◽  
Mobility Data

Microchemical imaging in biomedical research

1992 ◽  
Vol 50 (2) ◽  
pp. 1118-1119
Author(s):  
P. Ingram
Keyword(s):  
Data Analysis ◽  
Electron Probe ◽  
The Other ◽  
X Ray ◽  
Cell Element ◽  
Physiological Information ◽  
Functional States ◽  
Elemental Maps ◽  
Electron Energy Loss ◽  
Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

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