Temperature-driven volume transition in hydrogels: phase--coexistence and interface localization

We study volume transition phenomenon in hydrogels within the framework of Flory-Rehner thermodynamic modelling; we show that starting from different models for the Flory parameter different conclusions can be achieved, in terms of admissible coexisting equilibria of the system. In particular, with explicit reference to a one-dimensional problem we establish the ranges of both temperature and traction which allow for the coexistence of a swollen and a shrunk phase. Through consideration of an augmented Flory-Rehner free-energy, which also accounts for the gradient of volume changes, we determine the position of the interface between the coexisting phases, and capture the connection profile between them

Complex network statistics to the design of fire breaks for the control of fire spreading

A computational approach for identifying efficient fuel breaks partitions for the containment of fire incidents in forests is proposed. The approach is based on the complex networks statistics, namely the centrality measures and cellular automata modeling. The efficiency of various centrality statistics, such as betweenness, closeness, Bonacich and eigenvalue centrality to select fuel breaks partitions vs. the random-based distribution is demonstrated. Two examples of increasing complexity are considered: (a) an artificial forest of randomly distributed density of vegetation, and (b) a patch from the area of Vesuvio, National Park of Campania, Italy. Both cases assume flat terrain and single type of vegetation. Simulation results over an ensemble of lattice realizations and runs show that the proposed approach appears very promising as it produces statistically significant better outcomes when compared to the random distribution approach

On Simulating the Proton-Irradiation of O2_2 and H2_2O Ices Using Astrochemical-type Models, with Implications for Bulk Reactivity

Many astrochemical models today explicitly consider the species that comprise the bulk of interstellar dust grain ice-mantles separately from those in the top few monolayers. Bombardment of these ices by ionizing radiation - whether in the form of cosmic rays, stellar winds, or radionuclide emission - represents an astrochemically viable means of driving a rich chemistry even in the bulk of the ice-mantle, now supported by a large body of work in laboratory astrophysics. In this study, using an existing rate equation-based astrochemical code modified to include a method of considering radiation chemistry recently developed by us, we attempted to simulate two such studies in which (a) pure O$_2$ ice at 5 K and, (b) pure H$_2$O ice at 16 K and 77 K, were bombarded by keV H$^+$ ions. Our aims are twofold: (1) to test the capability of our newly developed method to replicate the results of ice-irradiation experiments, and (2) to determine in such a well-constrained system how bulk chemistry is best handled using the same gas-grain codes that are used to model the interstellar medium (ISM). We find that our modified astrochemical model is able to reproduce both the abundance of O$_3$ in the 5 K pure O$_2$ ice, as well as both the abundance of H$_2$O$_2$ in the 16 K water ice and the previously noted decrease of hydrogen peroxide at higher temperatures. However, these results require the assumption that radicals and other reactive species produced via radiolysis react quickly and non-diffusively with neighbors in the ice.Comment: ApJ, accepted. 30 pages, 5 figure

The Milky Way as a High Redshift Galaxy: The Importance of Thick Disk Formation in Galaxies

We compare the star-formation history and dynamics of the Milky Way (MW) with the properties of distant disk galaxies. During the first ~4 Gyr of its evolution, the MW formed stars with a high star-formation intensity (SFI), Sigma_SFR~0.6 Msun/yr/kpc2 and as a result, generated outflows and high turbulence in its interstellar medium. This intense phase of star formation corresponds to the formation of the thick disk. The formation of the thick disk is a crucial phase which enables the MW to have formed approximately half of its total stellar mass by z~1 which is similar to "MW progenitor galaxies" selected by abundance matching. This agreement suggests that the formation of the thick disk may be a generic evolutionary phase in disk galaxies. Using a simple energy injection-kinetic energy relationship between the 1-D velocity dispersion and SFI, we can reproduce the average perpendicular dispersion in stellar velocities of the MW with age. This relationship, its inferred evolution, and required efficiency are consistent with observations of galaxies from z~0-3. The high turbulence generated by intense star formation naturally resulted in a thick disk, a chemically well-mixed ISM, and is the mechanism that links the evolution of MW to the observed characteristics of distant disk galaxies.Comment: 5 pages, 4 figures; accepted to ApJ Letter

Transposition Driven Genomic Heterogeneity in the \u3cem\u3eDrosophila\u3c/em\u3e Brain: A Dissertation

In the Drosophila brain, memories are processed and stored in two mirrorsymmetrical structures composed of approximately 5,000 neurons called Mushroom Bodies (MB). Depending on their axonal extensions, neurons in the MB can be further classified into three different subgroups: αβ, α’β’ and γ. In addition to the morphological differences between these groups of neurons, there is evidence of functional differences too. For example, it has been previously shown that while neurotransmission from α’β’ neurons is required for consolidation of olfactory memory, output from αβ neurons is required for its later retrieval. To gain insight into the functional properties of these discrete neurons we analyzed whether they were different at the level of gene expression. We generated an intersectional genetic approach to exclusively label each population of neurons and permit their purification. Comparing expression profiles, revealed a large number of potentially interesting molecular differences between the populations. We focused on the finding that the MB αβ neurons, which are the presumed storage site for transcription-dependent long-term memory, express high levels of mRNA for transposable elements and histones suggesting that these neurons likely possess unique genomic characteristics. For decades, transposable elements (TE) were considered to be merely “selfish” DNA elements inserted at random in the genome and that they their sole function was to self-replicate. However, new studies have started to arise that indicate TE contribute more than just “junk” DNA to the genome. Although it is widely believed that mobilization of TE destabilize the genome by insertional mutagenesis, deletions and rearrangements of genes, some rearrangements might be advantageous for the organism. TE mobilization has recently been documented to occur in some somatic cells, including in neuronal precursor cells (NPCs). Moreover, mobilization in NPCs seems to favor insertions within neuronal expressed genes and in one case the insertion elevated the expression. During the last decade, the discovery of the small RNA pathways that suppress the expression and mobilization of TE throughout the animal have helped to uncover new functions that TE play. In this work, we demonstrate that proteins of the PIWI-associated RNA pathway that control TE expression in the germline are also required to suppress TE expression in the adult fly brain. Moreover, we find that they are differentially expressed in subsets of MB neurons, being under represented in the αβ neurons. This finding suggests that the αβ neurons tolerate TE mobilization. Lastly, we demonstrate by sequencing αβ neuron DNA that TE are mobile and we identify \u3e200 de novo insertions into neurally expressed genes. We conclude that this TE generated mosaicism, likely contributes a new level of neuronal diversity making, in theory, each αβ neuron genetically different. In principle the stochastic nature of this process could also render every fly an individual