Search results for "Multiscale Approach"

showing 4 items of 4 documents

New insights into the use of rhizobia to mitigate soil N2O emissions

2022

Agriculture is a major anthropogenic source of the greenhouse gas N2O, which is also involved in stratospheric ozone depletion. While the use of rhizobial inoculants has already been reported as an emerging option for mitigating soil N2O emissions, this study presents an in situ abatement of 70% of soil N2O emission using the strain nosZ+ G49 vs. nosZ− USDA138 in association with soybean. Therefore, we consider that the choice of the inoculant strain of a leguminous crop should take into account the capacity of strains to reduce nitrous oxide in addition to their N fixation capacity. This study also clearly suggests that this mitigation option could be considered not only for soybean but al…

[SDV] Life Sciences [q-bio]N<sub>2</sub>O mitigation; rhizobia; legumes; <i>nosZ</i> gene; phenotypes; multiscale approachfood and beveragesPlant Scienceequipment and suppliesAgronomy and Crop ScienceFood Science
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The Importance of Cerebellar Connectivity on Simulated Brain Dynamics

2020

The brain shows a complex multiscale organization that prevents a direct understanding of how structure, function and dynamics are correlated. To date, advances in neural modeling offer a unique opportunity for simulating global brain dynamics by embedding empirical data on different scales in a mathematical framework. The Virtual Brain (TVB) is an advanced data-driven model allowing to simulate brain dynamics starting from individual subjects' structural and functional connectivity obtained, for example, from magnetic resonance imaging (MRI). The use of TVB has been limited so far to cerebral connectivity but here, for the first time, we have introduced cerebellar nodes and interconnecting…

0301 basic medicineCerebellumEmpirical dataComputer scienceThe Virtual Brainlcsh:RC321-57103 medical and health sciencesFunctional brainCellular and Molecular Neuroscience0302 clinical medicinemultiscale approachbrain dynamicsmedicineFunctional connectomestructural connectivitylcsh:Neurosciences. Biological psychiatry. NeuropsychiatryComputingMilieux_MISCELLANEOUSOriginal ResearchSignal processingFunctional connectivity[SCCO.NEUR]Cognitive science/Neurosciencefunctional connectivity030104 developmental biologyBrain statemedicine.anatomical_structureDynamics (music)Neuroscience030217 neurology & neurosurgeryNeurosciencecerebro-cerebellar loopFrontiers in Cellular Neuroscience
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Multiscale Approach in Studying the Influence of Annealing Conditions on Conductivity of TiO2 Nanotubes

2015

Titanium oxide nanotubes (NTs) have attracted much attention during last decade due to their special characteristics such as one-dimensional highly ordered geometry with large surface area and good chemical and optical stability.

Settore ING-IND/23 - Chimica Fisica ApplicataMultiscale Approach Influence of Annealing Conditions Conductivity TiO2 NanotubesSettore ING-INF/01 - Elettronica
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Predicting mechanical behaviour and damage kinetics of a 3D interlock composite materials by using a multiscale approach

2012

International audience; The present work aims to investigate the mechanical behaviour and the damage kinetics of a3D interlock woven fabric composite, especially used for natural gas tanks dedicated to thetransportation industry. On the one hand, we aim at predicting the macroscopic coefficients ofthe stiffness matrix by homogenization multiscale approach. For this, we identified a basicunit cell which represents well the composite microstructure. On the other hand, damagemechanisms are analyzed: optical microscopy examinations on damaged specimens revealedseveral types of defects. We used the same multi-scale approach to assess the impact of thesedefects on the decrease of stiffness.

multiscale approachwoven fabric composite[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]mechanical behavior[ PHYS.COND.CM-MS ] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci][SPI.MAT] Engineering Sciences [physics]/Materialsdamage[SPI.MECA.MEMA] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]ComputingMilieux_MISCELLANEOUS[SPI.MAT]Engineering Sciences [physics]/Materials
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