SAMPA: A free software tool for skin and membrane permeation data analysis

There is a lack of free software that provides a professional and smooth experience in text editing and markup for qualitative data analysis. Word processing software like Microsoft Word provides a good editing experience, allowing the researcher to effortlessly add comments to text portions. However, organizing the keywords and categories in the comments can become a more difficult task when the amount of data increases. We present WordCommentsAnalyzer, a software tool that is written in C# using .NET Framework and OpenXml, which helps a qualitative researcher to organize codes when using Microsoft Word as the primary text markup software. WordCommentsAnalyzer provides an effective user interface to count codes, to organize codes in a code hierarchy, and to see various data extracts belonging to each code. We illustrate how to use the software by conducting a preliminary content analysis on Tweets with the #successfulaging hashtag. We hope this open-source software will facilitate qualitative data analysis by researchers who are interested in using Word for this purpose.

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A modified stereographic projection approach and a free software tool for kinematic analysis of rock slope toppling failures

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-018-1426-z ◽

2018 ◽

Vol 78 (7) ◽

pp. 4757-4769 ◽

Cited By ~ 1

Author(s):

Jun Zheng ◽

Qing Lü ◽

Jianhui Deng ◽

Xiaojuan Yang ◽

Xiang Fan ◽

...

Keyword(s):

Kinematic Analysis ◽

Rock Slope ◽

Stereographic Projection ◽

Software Tool ◽

Free Software ◽

Projection Approach

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ASICPlacementAnalyzer: Software tool for data analysis and visualization of ASIC placement

East-West Design & Test Symposium (EWDTS 2013) ◽

10.1109/ewdts.2013.6673082 ◽

2013 ◽

Cited By ~ 2

Author(s):

Victor M. Kureichik ◽

Maria V. Lisyak

Keyword(s):

Data Analysis ◽

Software Tool

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A Software Tool for Material Data Analysis and Property Prediction: CASAC-ANA

Computerization and Networking of Materials Databases: Fourth Volume ◽

10.1520/stp15417s ◽

2009 ◽

pp. 235-235-18 ◽

Cited By ~ 1

Author(s):

J Zhou ◽

Q Xie ◽

J Feng ◽

S Li ◽

Z Xu ◽

...

Keyword(s):

Data Analysis ◽

Software Tool ◽

Property Prediction ◽

Material Data

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Software Tool for Assessment of Complexity and Variability in Physiological Signals of Respiration

International Journal on Measurement Technologies and Instrumentation Engineering ◽

10.4018/ijmtie.2011040103 ◽

2011 ◽

Vol 1 (2) ◽

pp. 28-53

Author(s):

Ireneusz Jablonski ◽

Kamil Subzda ◽

Janusz Mroczka

Keyword(s):

Complex System ◽

Experimental Data ◽

Time Series ◽

Data Analysis ◽

Input Signal ◽

Software Tool ◽

Point Of View ◽

Software Implementation ◽

Physiological Signals ◽

Event Time

In this paper, the authors examine software implementation and the initial preprocessing of data and tools during the assessment of the complexity and variability of long physiological time-series. The algorithms presented advance a bigger Matlab library devoted to complex system and data analysis. Commercial software is unavailable for many of these functions and is generally unsuitable for use with multi-gigabyte datasets. Reliable inter-event time extraction from input signal is an important step for the presented considerations. Knowing the distribution of the inter-event time distances, it is possible to calculate exponents due to power-law scaling. From a methodology point of view, simulations and considerations with experimental data supported each stage of the work presented. In this paper, initial calibration of the procedures with accessible data confirmed assessments made during earlier studies, which raise objectivity of measurements planned in the future.

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Development of a tool-kit for the detection of healthy and injured cardiac tissue based on MR imaging

Current Directions in Biomedical Engineering ◽

10.1515/cdbme-2017-0041 ◽

2017 ◽

Vol 3 (2) ◽

pp. 195-198

Author(s):

Philip Westphal ◽

Sebastian Hilbert ◽

Michael Unger ◽

Claire Chalopin

Keyword(s):

Contrast Agent ◽

Cardiac Tissue ◽

Software Tool ◽

Ease Of Use ◽

Free Software ◽

Patient Specific ◽

Initial Contour ◽

Data Sets ◽

Heart Model ◽

Data Set

AbstractPlanning of interventions to treat cardiac arrhythmia requires a 3D patient specific model of the heart. Currently available commercial or free software dedicated to this task have important limitations for routinely use. Automatic algorithms are not robust enough while manual methods are time-consuming. Therefore, the project attempts to develop an optimal software tool. The heart model is generated from preoperative MR data-sets acquired with contrast agent and allows visualisation of damaged cardiac tissue. A requirement in the development of the software tool was the use of semi-automatic functions to be more robust. Once the patient image dataset has been loaded, the user selects a region of interest. Thresholding functions allow selecting the areas of high intensities which correspond to anatomical structures filled with contrast agent, namely cardiac cavities and blood vessels. Thereafter, the target-structure, for example the left ventricle, is coarsely selected by interactively outlining the gross shape. An active contour function adjusts automatically the initial contour to the image content. The result can still be manually improved using fast interaction tools. Finally, possible scar tissue located in the cavity muscle is automatically detected and visualized on the 3D heart model. The model is exported in format which is compatible with interventional devices at hospital. The evaluation of the software tool included two steps. Firstly, a comparison with two free software tools was performed on two image data sets of variable quality. Secondly, six scientists and physicians tested our tool and filled out a questionnaire. The performance of our software tool was visually judged more satisfactory than the free software, especially on the data set of lower quality. Professionals evaluated positively our functionalities regarding time taken, ease of use and quality of results. Improvements would consist in performing the planning based on different MR modalities.

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AUSPEX: a graphical tool for X-ray diffraction data analysis

Acta Crystallographica Section D Structural Biology ◽

10.1107/s205979831700969x ◽

2017 ◽

Vol 73 (9) ◽

pp. 729-737 ◽

Cited By ~ 5

Author(s):

Andrea Thorn ◽

James Parkhurst ◽

Paul Emsley ◽

Robert A. Nicholls ◽

Melanie Vollmar ◽

...

Keyword(s):

Data Analysis ◽

Diffraction Data ◽

Software Tool ◽

Data Conversion ◽

Data Sets ◽

X Ray Diffraction ◽

X Ray ◽

Pixel Detectors ◽

Graphical Tool ◽

Data Acquisition And Processing

In this paper,AUSPEX, a new software tool for experimental X-ray data analysis, is presented. Exploring the behaviour of diffraction intensities and the associated estimated uncertainties facilitates the discovery of underlying problems and can help users to improve their data acquisition and processing in order to obtain better structural models. The program enables users to inspect the distribution of observed intensities (or amplitudes) against resolution as well as the associated estimated uncertainties (sigmas). It is demonstrated howAUSPEXcan be used to visually and automatically detect ice-ring artefacts in integrated X-ray diffraction data. Such artefacts can hamper structure determination, but may be difficult to identify from the raw diffraction images produced by modern pixel detectors. The analysis suggests that a significant portion of the data sets deposited in the PDB contain ice-ring artefacts. Furthermore, it is demonstrated how other problems in experimental X-ray data caused, for example, by scaling and data-conversion procedures can be detected byAUSPEX.

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