183 research outputs found
Impact of the solar activity on the propagation of ICMEs: Simulations of hydro, magnetic and median ICMEs at minimum and maximum of activity
The propagation of Interplanetary Coronal Mass Ejections (ICMEs) in the
heliosphere is influenced by many physical phenomena, related to the internal
structure of the ICME and its interaction with the ambient solar wind and
magnetic field. As the solar magnetic field is modulated by the 11-year dynamo
cycle, our goal is to perform a theoretical exploratory study to assess the
difference of propagation of an ICME in typical minimum and maximum activity
backgrounds. We define a median representative CME at 0.1~au, using both
observations and numerical simulations, and describe it using a spheromak
model. We use the heliospheric propagator European Heliospheric FORecasting
Information Asset (EUHFORIA) to inject the same ICME in two different
background wind environments. We then study how the environment and the
internal CME structure impact the propagation of the ICME towards Earth, by
comparison with an unmagnetized CME. At minimum of activity, the structure of
the heliosphere around the ecliptic causes the ICME to slow down, creating a
delay with the polar parts of the ejecta. This delay is more important if the
ICME is faster. At maximum of activity, a southern coronal hole causes a
northward deflection. For these cases, we always find that the ICME at maximum
of activity arrives first, while the ICME at minimum of activity is actually
more geo-effective. The helicity sign of the ICME is also a crucial parameter
but at minimum of activity only, since it affects the magnetic profile and the
arrival time of up to 8 hours.Comment: 25 pages, 16 figures, accepted in Ap
LOX Gene Transcript Accumulation in Olive (Olea europaea L.) Fruits at Different Stages of Maturation: Relationship between Volatile Compounds, Environmental Factors, and Technological Treatments for Oil Extraction
The quality of olive oil is influenced by genetic and environmental factors and by the maturation state of drupes, but it is equally affected by technological treatments of the process. This work investigates the possible correlation between olive LOX gene transcript accumulation, evaluated in fruits collected at different stages of maturation, and chemical biomarkers of its activity. During olive fruit ripening, the same genotype harvested from two different farms shows a positive linear trend between LOX relative transcript accumulation and the content of volatile compounds present in the olive oil aroma. Interestingly, a negative linear trend was observed between LOX relative transcript accumulation and the content of volatile compounds present in the olive pastes obtained from olive fruits with and without malaxation. The changes in the olive LOX transcript accumulation reveal its environmental regulation and suggest differential physiological functions for the LOXs
Validation of a wave heated 3D MHD coronal-wind model using Polarized Brightness and EUV observations
The physical properties responsible for the formation and evolution of the
corona and heliosphere are still not completely understood. 3D MHD global
modeling is a powerful tool to investigate all the possible candidate
processes. To fully understand the role of each of them, we need a validation
process where the output from the simulations is quantitatively compared to the
observational data. In this work, we present the results from our validation
process applied to the wave turbulence driven 3D MHD corona-wind model
WindPredict-AW. At this stage of the model development, we focus the work to
the coronal regime in quiescent condition. We analyze three simulations
results, which differ by the boundary values. We use the 3D distributions of
density and temperature, output from the simulations at the time of around the
First Parker Solar Probe perihelion (during minimum of the solar activity), to
synthesize both extreme ultraviolet (EUV) and white light polarized (WL pB)
images to reproduce the observed solar corona. For these tests, we selected AIA
193 A, 211 A and 171 A EUV emissions, MLSO K-Cor and LASCO C2 pB images
obtained the 6 and 7 November 2018. We then make quantitative comparisons of
the disk and off limb corona. We show that our model is able to produce
synthetic images comparable to those of the observed corona.Comment: in pres
Powering stellar magnetism: energy transfers in cyclic dynamos of sun-like stars
We use the anelastic spherical harmonic code to model the convective dynamo of solar-type stars. Based on a series of 15 3D MHD simulations spanning four bins in rotation and mass, we show what mechanisms are at work in these stellar dynamos with and without magnetic cycles and how global stellar parameters affect the outcome. We also derive scaling laws for the differential rotation and magnetic field based on these simulations. We find a weaker trend between differential rotation and stellar rotation rate, (ΔΩ∞(IΩI/Ω⊛) 0.46) in the MHD solutions than in their HD counterpart ((IΩI/Ω⊛) 0.66), yielding a better agreement with the observational trends based on power laws. We find that for a fluid Rossby number between 0.15 ≲ Rof ≲ 0.65, the solutions possess long magnetic cycle, if Rof ≲ 0.42 a short cycle and if Rof ≲ 1 (antisolar-like differential rotation), a statistically steady state. We show that short-cycle dynamos follow the classical Parker–Yoshimura rule whereas the long-cycle period ones do not. We also find efficient energy transfer between reservoirs, leading to the conversion of several percent of the starʼs luminosity into magnetic energy that could provide enough free energy to sustain intense eruptive behavior at the star’s surface. We further demonstrate that the Rossby number dependency of the large-scale surface magnetic field in the simulation ( BL,surf ~ Rof -1.26) agrees better with observations ( Bv~ Ros -1.4 ± 0.1) and differs from dynamo scaling based on the global magnetic energy (Bbulk ~Rof -0.5)
Proximity to Delivery Alters Insulin Sensitivity and Glucose Metabolism in Pregnant Mice.
In late pregnancy, maternal insulin resistance occurs to support fetal growth, but little is known about insulin-glucose dynamics close to delivery. This study measured insulin sensitivity in mice in late pregnancy at day 16 (D16) and near term at D19. Nonpregnant (NP) and pregnant mice were assessed for metabolite and hormone concentrations, body composition by DEXA, tissue insulin signaling protein abundance by Western blotting, glucose tolerance and utilization, and insulin sensitivity using acute insulin administration and hyperinsulinemic-euglycemic clamps with [(3)H]glucose infusion. Whole-body insulin resistance occurred in D16 pregnant dams in association with basal hyperinsulinemia, insulin-resistant endogenous glucose production, and downregulation of several proteins in hepatic and skeletal muscle insulin signaling pathways relative to NP and D19 values. Insulin resistance was less pronounced at D19, with restoration of NP insulin concentrations, improved hepatic insulin sensitivity, and increased abundance of hepatic insulin signaling proteins. At D16, insulin resistance at whole-body, tissue, and molecular levels will favor fetal glucose acquisition, while improved D19 hepatic insulin sensitivity will conserve glucose for maternal use in anticipation of lactation. Tissue sensitivity to insulin, therefore, alters differentially with proximity to delivery in pregnant mice, with implications for human and other species.We are grateful to the Medical Research Council for funding the research through a studentship to Barbara Musial and an in vivo skills award (MR/J500458/1 and MRC CORD G0600717).This is the author accepted manuscript. The final version is available from the American Diabetes Association via http://dx.doi.org/10.2337/db15-153
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Exercise alters the molecular pathways of insulin signaling and lipid handling in maternal tissues of obese pregnant mice.
Obesity during gestation adversely affects maternal and infant health both during pregnancy and for long afterwards. However, recent work suggests that a period of maternal exercise during pregnancy can improve metabolic health of the obese mother and her offspring. This study aimed to identify the physiological and molecular impact of exercise on the obese mother during pregnancy that may lead to improved metabolic outcomes. To achieve this, a 20-min treadmill exercise intervention was performed 5 days a week in diet-induced obese female mice from 1 week before and up to day 17 of pregnancy. Biometric, biochemical and molecular analyses of maternal tissues and/or plasma were performed on day 19 of pregnancy. We found exercise prevented some of the adverse changes in insulin signaling and lipid metabolic pathways seen in the liver, skeletal muscle and white adipose tissue of sedentary-obese pregnant dams (p110β, p110α, AKT, SREBP). Exercise also induced changes in the insulin and lipid signaling pathways in obese dams that were different from those observed in control and sedentary-obese dams. The changes induced by obesity and exercise were tissue-specific and related to alterations in tissue lipid, protein and glycogen content and plasma insulin, leptin and triglyceride concentrations. We conclude that the beneficial effects of exercise on metabolic outcomes in obese mothers may be related to specific molecular signatures in metabolically active maternal tissues during pregnancy. These findings highlight potential metabolic targets for therapeutic intervention and the importance of lifestyle in reducing the burden of the current obesity epidemic on healthcare systems
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