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Assessment of the intensity of geomagnetic disturbances on the eve of and during magnetic storm development allowed us to highlight local increases in intensity of the geomagnetic field occurring at different frequency ranges prior to the development of the storm's main phase.
A combination of complementary approaches to assess the kinetics of the appearance of each subset during development allowed us to obtain new insights into these terminal stages of differentiation, characterising their gene expression profiles at a pan-genomic level, their distinct surface receptor patterns and their prototypic effector functions.
The highly regulated appearance of mechanosensitive currents in vivo and in vitro during development allowed us to screen candidate ion channels whose expression profile matches mechanosensitive current appearance.
The fact that we used a relatively high concentration of DMSO (1%) as a vehicle during assay development allowed us to treat cells with gas oil extracts in the ng/L range.
The involvement of CpARF gene expression changes in flower and fruit development allowed us to understand the role of ARF-mediated auxin signaling in the maturation of reproductive organs in papaya.
Genetic and molecular investigations of foetal cases with complex malformations of cortical development allowed us to identify TUBA1A, TUBB2B and TUBB3 mutations in 26 out of the 60 cases (43.3%) referred to our laboratories (Cochin Hospital and Cochin Institute Laboratories).
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This science helps us understand the factors that promote or derail healthy development, allowing us to develop interventions that use scientific concepts to address challenges facing young children.
The timely requirement of Nf1 during cerebellar development allows us to develop a therapeutic prevention strategy for treating these developmental disorders with long-term behavioral benefits.
This methodological development allows us to improve the estimation performance of the covariate effects, compared to using traditional conditional auto-regressive models.
This study provides us with a better understanding of fine-scale resource patch development, allowing us to predict shifts in resources at broader scales.
This mathematical modelling is used to run different simulations for gear-shift control algorithm design during system development, allowing us to evaluate the achievable performance and its dependency on system properties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com