28 research outputs found
Polytropic behavior in the structures of Interplanetary Coronal Mass Ejections
The polytropic process characterizes the thermodynamics of space plasma
particle populations. The polytropic index, , is particularly
important as it describes the thermodynamic behavior of the system by
quantifying the changes in temperature as the system is compressed or expanded.
Using Wind spacecraft plasma and magnetic field data during , we investigate the thermodynamic evolution in 336 Interplanetary
Coronal Mass Ejection (ICME) events. For each event, we derive the index
in the sheath and magnetic ejecta structures, along with the pre-
and post- event regions. We then examine the distributions of all
indices in these four regions and derive the entropic gradient of each, which
is indicative of the ambient heating. We find that in the ICME sheath region,
where wave turbulence is expected to be highest, the thermodynamics takes
longest to recover into the original quasi-adiabatic process, while it recovers
faster in the quieter ejecta region. This pattern creates a thermodynamic
cycle, featuring a near adiabatic value ~ (=5/3)
upstream of the ICMEs, - ~ 0.26 in the sheaths,
- ~ 0.13 in the ICME ejecta, and recovers again to
~ after the passage of the ICME. These results
expose the turbulent heating rates in the ICME plasma: the lower the polytropic
index from its adiabatic value and closer to its isothermal value, the larger
the entropic gradient, and thus, the rate of turbulent heating that heats the
ICME plasma.Comment: 9 pages, 3 figure
A Discrete Mathematical Model for the Aggregation of \u3ci\u3eβ-Amyloid\u3c/i\u3e
Dementia associated with the Alzheimer\u27s disease is thought to be correlated with the conversion of the β − Amyloid (Aβ) peptides from soluble monomers to aggregated oligomers and insoluble fibrils. We present a discrete-time mathematical model for the aggregation of Aβ monomers into oligomers using concepts from chemical kinetics and population dynamics. Conditions for the stability and instability of the equilibria of the model are established. A formula for the number of monomers that is required for producing oligomers is also given. This may provide compound designers a mechanism to inhibit the Aβ aggregation
Solar Cycle Variation of 0.3-1.29 MeV/nucleon Heavy Ion Composition during Quiet Times near 1 AU in Solar Cycles 23 and 24
We report on the annual variation of quiet-time suprathermal ion composition
for C through Fe using Advanced Composition Explorer (ACE)/Ultra-Low Energy
Isotope Spectrometer (ULEIS) data over the energy range 0.3 MeV/nuc to 1.28
MeV/nuc from 1998 through 2019, covering solar cycle 23's rising phase through
Solar Cycle 24's declining phase. Our findings are (1) quiet time suprathermal
abundances resemble CIR-associated particles during solar minima; (2) quiet
time suprathermals are M/Q fractionated in a manner that is consistent with M/Q
fractionation in large gradual solar energetic particle events (GSEP) during
solar maxima; and (3) variability within the quiet time suprathermal pool
increases as a function of M/Q and is consistent with the analogous variability
in GSEP events. From these observations, we infer that quiet time suprathermal
ions are remnants of CIRs in solar minima and GSEP events in solar maxima.
Coincident with these results, we also unexpectedly show that S behaves like a
low FIP ion in the suprathermal regime and therefore drawn from low FIP solar
sources.Comment: Accepted in Astrophysical Journal. 19 pages, 10 figures, 4 table
Effects of Cholesterol in Stress-Related Neuronal Death—A Statistical Analysis Perspective
The association between plasma cholesterol levels and the development of dementia continues to be an important topic of discussion in the scientific community, while the results in the literature vary significantly. We study the effect of reducing oxidized neuronal cholesterol on the lipid raft structure of plasma membrane. The levels of plasma membrane cholesterol were reduced by treating the intact cells with methyl-ß-cyclodextrin (MßCD). The relationship between the cell viability with varying levels of MßCD was then examined. The viability curves are well described by a modified form of the empirical Gompertz law of mortality. A detailed statistical analysis is performed on the fitting results, showing that increasing MßCD concentration has a minor, rather than significant, effect on the cellular viability. In particular, the dependence of viability on MßCD concentration was found to be characterized by a ~25% increase per 1 μM of MßCD concentration