Identification of metabolites of oridonin in rats with a single run on UPLC-Triple-TOF-MS/MS system based on multiple mass defect filter data acquisition and multiple data processing techniques

2015 ◽  
Vol 1006 ◽  
pp. 80-92 ◽  
Author(s):  
Tingting Tian ◽  
Yiran Jin ◽  
Yinghua Ma ◽  
Weiwei Xie ◽  
Huijun Xu ◽  
...  
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Mass Defect ◽  
Multiple Data ◽  
Mass Defect Filter ◽  
Processing Techniques ◽  
Tof Ms

scholarly journals Desenvolvimento de hardware para a medição de parâmetros de temperatura e umidade em uma incubadora neonatal

2018 ◽  
Vol 1 (39) ◽  
pp. 121
Author(s):  
José Ilton Oliveira Filho ◽  
Otacílio Mota Almeida ◽  
José Medeiros Araújo Júnior
Keyword(s):  
Data Processing ◽  
Dynamic System ◽  
Data Acquisition ◽  
Electrical Engineering ◽  
The Other ◽  
Safety Certification ◽  
Minimum Requirements ◽  
Heating Load ◽  
Processing Techniques ◽  
Equipment Control

This paper presents the development of a control and validation hardware for neonatal incubators. The developed circuit is installed in the incubator located in the Electrical Engineering Course’s Laboratory of Control of the Federal University of Piauí - UFPI, and constitutes an important dynamic system for the development of control and data processing techniques for undergraduate and masters courses, focusing on the disciplines of Control, Instrumentation and Automation. The prototype created takes into account the requests of the IEC 60601-2-19 standard about the minimum requirements for hardware safety certification and equipment control for incubators. This project presents as result, two circuits, one being responsible for the processing and data acquisition and the other the control drive of the heating load. In addition, this work contains photos, schematics and graphics related to the system created

scholarly journals An open source statistical and data processing toolbox for wide-field optical imaging in mice

2021 ◽  
Author(s):  
Lindsey M Brier ◽  
Joseph P Culver
Keyword(s):  
Data Processing ◽  
Optical Imaging ◽  
Open Source ◽  
Wide Field ◽  
Analysis Framework ◽  
Matlab Toolbox ◽  
Genetic Manipulations ◽  
Multiple Data ◽  
Processing Techniques ◽  
User Friendly

Wide-field optical imaging (WOI) produces concurrent hemodynamic and cell-specific calcium recordings across the entire cerebral cortex. There have been multiple studies using WOI to image mouse models with various environmental or genetic manipulations to understand various diseases. Despite the obvious utility of pursuing mouse WOI alongside human functional magnetic resonance imaging (fMRI), and the multitude of analysis toolboxes in the fMRI literature, there is not an available open-source, user-friendly data processing and statistical analysis toolbox for WOI data. Here, we present our MATLAB toolbox for pre-processing WOI data, as described and adapted to combine processing techniques from multiple WOI groups. Additionally, we provide multiple data analysis packages and translate two commonly used statistical approaches from the fMRI literature to the WOI data. To illustrate the utility, we demonstrate the ability of the processing and analysis framework to detect a well-established deficit in a mouse model of stroke. Additionally, we evaluate resting state data in healthy mice.

Data Acquisition and Data Processing Techniques

2021 ◽  
pp. 275-288
Author(s):  
Maksym Spiryagin ◽  
Stefano Bruni ◽  
Christopher Bosomworth ◽  
Peter Wolfs ◽  
Colin Cole
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Processing Techniques

scholarly journals A RE Methodology to achieve Accurate Polygon Models and NURBS Surfaces by Applying Different Data Processing Techniques

Metals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1508
Author(s):  
Alejandro Pascual ◽  
Naiara Ortega ◽  
Soraya Plaza ◽  
Ibon Holgado ◽  
Jon Iñaki Arrizubieta
Keyword(s):  
Data Processing ◽  
Reverse Engineering ◽  
Data Acquisition ◽  
Laser Scanner ◽  
Point Clouds ◽  
3D Models ◽  
Machining Processes ◽  
Cross Sectional ◽  
Processing Step ◽  
Processing Techniques

The scope of this work is to present a reverse engineering (RE) methodology to achieve accurate polygon models for 3D printing or additive manufacturing (AM) applications, as well as NURBS (Non-Uniform Rational B-Splines) surfaces for advanced machining processes. The accuracy of the 3D models generated by this RE process depends on the data acquisition system, the scanning conditions and the data processing techniques. To carry out this study, workpieces of different material and geometry were selected, using X-ray computed tomography (XRCT) and a Laser Scanner (LS) as data acquisition systems for scanning purposes. Once this is done, this work focuses on the data processing step in order to assess the accuracy of applying different processing techniques. Special attention is given to the XRCT data processing step. For that reason, the models generated from the LS point clouds processing step were utilized as a reference to perform the deviation analysis. Nonetheless, the proposed methodology could be applied for both data inputs: 2D cross-sectional images and point clouds. Finally, the target outputs of this data processing chain were evaluated due to their own reverse engineering applications, highlighting the promising future of the proposed methodology.

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