Stochastic Acceleration of 3^3He and 4^4He in Solar Flares by Parallel Propagating Plasma Waves: General Results

We study the acceleration in solar flares of $^3$He and $^4$He from a thermal background by parallel propagating plasma waves with a general broken power-law spectrum that takes into account the turbulence generation processes at large scales and the thermal damping effects at small scales. The exact dispersion relation for a cold plasma is used to describe the relevant wave modes. Because low-energy $\alpha$-particles only interact with small scale waves in the $^4$He-cyclotron branch, where the wave frequencies are below the $\alpha$-particle gyro-frequency, their pitch angle averaged acceleration time is at least one order of magnitude longer than that of $^3$He ions, which mostly resonate with relatively higher frequency waves in the proton-cyclotron (PC) branch. The $\alpha$-particle acceleration rate starts to approach that of $^3$He beyond a few tens of keV nucleon$^{-1}$, where $\alpha$-particles can also interact with long wavelength waves in the PC branch. However, the $^4$He acceleration rate is always smaller than that of $^3$He. Consequently, the acceleration of $^4$He is suppressed significantly at low energies, and the spectrum of the accelerated $\alpha$-particles is always softer than that of $^3$He. The model gives reasonable account of the observed low-energy $^3$He and $^4$He fluxes and spectra in the impulsive solar energetic particle events observed with the {\it Advanced Composition Explorer}. We explore the model parameter space to show how observations may be used to constrain the model.Comment: 29 pages, 11 Figures, Submitted to Ap

CsrA impacts survival of Yersinia enterocolitica by affecting a myriad of physiological activities.

BackgroundA previous study identified a Yersinia enterocolitica transposon mutant, GY448, that was unable to export the flagellar type three secretion system (T3SS)-dependent phospholipase, YplA. This strain was also deficient for motility and unable to form colonies on Lauria-Bertani agar medium. Preliminary analysis suggested it carried a mutation in csrA. CsrA in Escherichia coli is an RNA-binding protein that is involved in specific post-transcriptional regulation of a myriad of physiological activities. This study investigated how CsrA affects expression of the flagellar regulatory cascade that controls YplA export and motility. It also explored the effect of csrA mutation on Y. enterocolitica in response to conditions that cue physiological changes important for growth in environments found both in nature and the laboratory.ResultsThe precise location of the transposon insertion in GMY448 was mapped within csrA. Genetic complementation restored disruptions in motility and the YplA export phenotype (Yex), which confirmed this mutation disrupted CsrA function. Mutation of csrA affected expression of yplA and flagellar genes involved in flagellar T3SS dependent export and motility by altering expression of the master regulators flhDC. Mutation of csrA also resulted in increased sensitivity of Y. enterocolitica to various osmolytes, temperatures and antibiotics.ConclusionsThe results of this study reveal unique aspects of how CsrA functions in Y. enterocolitica to control its physiology. This provides perspective on how the Csr system is susceptible to adaptation to particular environments and bacterial lifestyles

A resonant feature near the Perseus arm revealed by red clump stars

We investigate the extinction together with the radial velocity dispersion and distribution of red clump stars in the anti-center direction using spectra obtained with Hectospec on the MMT. We find that extinction peaks at Galactocentric radii of about 9.5 and 12.5 kpc, right in front of the locations of the Perseus and Outer arms and in line with the relative position of dust and stars in external spiral galaxies. The radial velocity dispersion peaks around 10kpc, which coincides with the location of the Perseus arm, yields an estimated arm-interarm density contrast of 1.3-1.5 and is in agreement with previous studies. Finally, we discover that the radial velocity distribution bifurcates around 10-11 kpc into two peaks at +27 km/s and -4 km/s. This seems to be naturally explained by the presence of the outer Lindblad resonance of the Galactic bar, but further observations will be needed to understand if the corotation resonance of the spirals arms also plays a role.Comment: 8 pages, 2 figures, accepted for publication in ApJ

Stochastic Acceleration of 3He and 4He by Parallel Propagating Plasma Waves

Stochastic acceleration of $^3$He and $^4$He from a thermal background by parallel propagating turbulent plasma waves with a single power-law spectrum of the wavenumber is studied. In the model, both ions interact with several resonant modes. When one of these modes dominates, the acceleration rate is reduced considerably. At low energies, this happens for $^4$He, but not for $^3$He where contributions from the two stronger modes are comparable so that acceleration of $^3$He is very efficient. As a result, the acceleration of $^4$He is suppressed by a barrier below $\sim 100$ keV nucleon$^{-1}$ and there is a prominent quasi-thermal component in the $^4$He spectra, while almost all the injected $^3$He ions are accelerated to high energies. This accounts for the large enrichment of $^3$He at high energies observed in impulsive solar energetic particle events. With reasonable plasma parameters this also provides a good fit to the spectra of both ions. Beyond $\sim 1$ MeV nucleon$^{-1}$, the spectrum of $^3$He is softer than that of $^4$He, which is consistent with the observed decrease of the $^3$He to $^4$He ratio with energy. This study also indicates that the acceleration, Coulomb losses and diffusive escape of the particles from the acceleration site {\it all} play important roles in shaping the ion spectra. This can explain the varied spectral shapes observed recently by the {\it Advanced Composition Explorer}.Comment: 14 pages, 4 figures, Submitted to Apj

Deep learning approach to estimate the optimal number of piles and beams from architectural floorplans

The traditional process of estimating piles and beams from architectural floor plans is a manual, time-consuming task that is prone to human error. Accurate estimation is vital for effective planning and execution of construction projects. It helps in scheduling, resource allocation, and logistics, ensuring that the construction process is smooth and efficient. The need for an automated process to enhance efficiency and accuracy is a primary problem being addressed. This paper presents an innovative framework for automating the estimation of the optimal number of piles and beams from architectural floor plans using advanced image processing and structural analysis techniques. Leveraging a deep segmentation network with a context-aware classifier, we enhance the accuracy of identifying key structural elements in floor plans. Our method involves a three-stage process: extracting structural elements, vectorizing floor plans, and identifying load-bearing walls. We employ a thinning algorithm and contour reduction techniques for precise vectorization, and our approach in determining room spans assists in accurately locating load-bearing walls. This methodology not only streamlines the estimation process of foundationalelements but also introduces a novel way of integrating deep learning with architectural engineering, setting a new standard in construction planning. Preliminary results demonstrate a significant reduction in time and error margins compared to traditional methods, showcasing the potential of our frameworkto revolutionize construction planning and execution

A three-stage continuous culture approach to study the impact of probiotics, prebiotics and fat intake on faecal microbiota relevant to an over 60s population

This study aimed to determine the impact of fat intake combined with Bacillus coagulans or trans- galactooligosaccharides (B-GOS) on bacterial composition and immune markers in an in vitro model. A three-stage continuous gut model system was used to simulate specific human colonic regions. Peripheral blood mononuclear cells were exposed to cell free supernatants and subsequent levels of inflammatory cytokines were measured by flow cytometry. Although fat addition decreased bifidobacteria from 8.76 ± 0.12 to 8.63 ± 0.13 and from 8.83 ± 0.08 to 8.67 ± 0.07 in pre- and probiotic models respectively, the changes were not significant. Fat addition also did not impact on cytokines induced by LPS. Under high fat conditions, numbers of bifidobacteria significantly increased by B. coagulans or B-GOS. In addition, B. coagulans or B-GOS significantly suppressed TNF-a production induced by LPS. Under high fat conditions, both B. coagulans and B-GOS led to potentially beneficial effects by targeting specific bacterial groups and modulating immune markers