Characterization of infrared imaging performance within a general statistical framework for environmental impacts on battlefield signals and sensing

2013 ◽  
Author(s):  
D. Keith Wilson ◽  
Christopher T. Borden ◽  
Elizabeth S. Bettencourt ◽  
Kenneth K. Yamamoto
Keyword(s):  
Environmental Impacts ◽  
Infrared Imaging ◽  
Statistical Framework ◽  
General Statistical ◽  
Imaging Performance

Spectro-mechanical Characterization of Aromaticity and Maturity of Kerogens in Oil Shale at 6 nm Spatial Resolution

2018 ◽  
Author(s):  
Devon Jakob ◽  
Le Wang ◽  
Haomin Wang ◽  
Xiaoji Xu
Keyword(s):  
Spatial Resolution ◽  
Oil Shale ◽  
Infrared Imaging ◽  
Mechanical Characterization ◽  
Optical Diffraction ◽  
Chemical Compositions ◽  
Valuable Insight ◽  
Eagle Ford Shale

<p>In situ measurements of the chemical compositions and mechanical properties of kerogen help understand the formation, transformation, and utilization of organic matter in the oil shale at the nanoscale. However, the optical diffraction limit prevents attainment of nanoscale resolution using conventional spectroscopy and microscopy. Here, we utilize peak force infrared (PFIR) microscopy for multimodal characterization of kerogen in oil shale. The PFIR provides correlative infrared imaging, mechanical mapping, and broadband infrared spectroscopy capability with 6 nm spatial resolution. We observed nanoscale heterogeneity in the chemical composition, aromaticity, and maturity of the kerogens from oil shales from Eagle Ford shale play in Texas. The kerogen aromaticity positively correlates with the local mechanical moduli of the surrounding inorganic matrix, manifesting the Le Chatelier’s principle. In situ spectro-mechanical characterization of oil shale will yield valuable insight for geochemical and geomechanical modeling on the origin and transformation of kerogen in the oil shale.</p>

Growth and characterization of 6" InSb substrates for use in large area infrared imaging applications

2013 ◽  
Author(s):  
Mark J. Furlong ◽  
Gordon Dallas ◽  
Greg Meshew ◽  
J. Patrick Flint ◽  
David Small ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Large Area

scholarly journals Characterization of the bauxite mining of the Poços de Caldas alkaline massif and its socio-environmental impacts

2012 ◽  
Vol 65 (1) ◽  
pp. 127-133 ◽  
Author(s):  
Dalmo Arantes de Barros ◽  
João Carlos Costa Guimarães ◽  
José Aldo Alves Pereira ◽  
Luis Antônio Coimbra Borges ◽  
Rossi Allan Silva ◽  
...  
Keyword(s):  
Environmental Impacts ◽  
Mineral Resources ◽  
Mining Sector ◽  
Bauxite Mining ◽  
Intensive Use ◽  
Poços De Caldas ◽  
Alkaline Massif ◽  
Social And Environmental Impacts ◽  
Satisfactory Manner

The intensive use of mineral resources brings along significant changes to the environment. The mining sector is essential for world economics, as long as it is operated on a basis that is technically coherent, socially fair and environmentally correct. This study aimed to characterize the bauxite mining of the Poços de Caldas plateau, MG, investigating its respective socio-environmental impacts. Through the overview presented, one can conclude that in most situations, the bauxite miningat the Poços de Caldas plateau mitigates its negative social and environmental impacts in a satisfactory manner in addition to generating positive social impacts; and the restoration methods of the mining-disturbed ecosystems have been continually improved and should be replicated by small-and-medium-sized companies.

scholarly journals Mathematical Modeling of Biofilm Structures Using COMSTAT Data

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Davide Verotta ◽  
Janus Haagensen ◽  
Alfred M. Spormann ◽  
Katherine Yang
Keyword(s):  
Mathematical Modeling ◽  
Dead Cell ◽  
Mathematical Framework ◽  
Complex Data ◽  
Biofilm Growth ◽  
Statistical Framework ◽  
Cell Accumulation ◽  
Microscopy Data ◽  
Kinetics Of

Mathematical modeling holds great potential for quantitatively describing biofilm growth in presence or absence of chemical agents used to limit or promote biofilm growth. In this paper, we describe a general mathematical/statistical framework that allows for the characterization of complex data in terms of few parameters and the capability to (i) compare different experiments and exposures to different agents, (ii) test different hypotheses regarding biofilm growth and interaction with different agents, and (iii) simulate arbitrary administrations of agents. The mathematical framework is divided to submodels characterizing biofilm, including new models characterizing live biofilm growth and dead cell accumulation; the interaction with agents inhibiting or stimulating growth; the kinetics of the agents. The statistical framework can take into account measurement and interexperiment variation. We demonstrate the application of (some of) the models using confocal microscopy data obtained using the computer program COMSTAT.

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