2,579 research outputs found

    Finite amplitude gravity waves in the Venus atmosphere generated by surface topography

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    A two-dimensional, fully nonlinear, nonhydrostatic, gravity wave model is used to study the evolution of gravity waves generated near the surface of Venus. The model extends from near the surface to well above the cloud layers. Waves are forced by applying a vertical wind at the bottom boundary. The boundary vertical wind is determined by the product of the horizontal wind and the gradient of the surface height. When wave amplitudes are small, the near-surface horizontal wind is the zonally averaged basic-state zonal wind, and the length scales of the forcing that results are characteristic of the surface height variation. When the forcing becomes larger and wave amplitudes affect the near-surface horizontal wind field, the forcing spectrum becomes more complicated, and a spectrum of waves is generated that is not a direct reflection of the spectrum of the surface height variation. Model spatial resolution required depends on the amplitude of forcing; for very nonlinear cases considered, vertical resolution was 250 m, and horizontal resolution was slightly greater than 1 km. For smaller forcing amplitudes, spatial resolution was much coarser, being 1 km in the vertical and about 10 km in the horizontal. Background static stability and mean wind are typical of those observed in the Venus atmosphere

    Horizontal and radial collector wells: simple tools for a complex problem

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    The capture of groundwater by horizontal wells (HWs) is an old but often overlooked technique. Practically all modeling techniques available in groundwater hydrology have been applied to HWs. This work compares analytical models with field data and investigates the influence of nonuniform screen inflow. The usefulness of a vertical well approximation is studied. A new MATLAB application, HORI, is presented for common analytical models. Analytical methods are found to reproduce drawdown around two radial collector wells (RCWs). Beyond the direct vicinity of the caisson, in particular, drawdown around an RCW can be approximated with a vertical well model

    Electron microscopy study of 110 interpenetration twins of pyrite

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    Trends in Double Networks as Bioprintable and Injectable Hydrogel Scaffolds for Tissue Regeneration

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    Additive manufacturing and injection are essential tools in the rapidly developing field of personalized medicine and are particularly promising for applications in regenerative medicine. One of the biggest challenges in this vibrant research domain remains the processing of complex formulations with robust mechanical properties. Mimicking the native extracellular matrix associated with many tissues requires materials that have high degrees of functionality for performing the complex array of functions within the cellular environment. Furthermore, native tissues often possess outstanding mechanical properties, particularly in connective tissues. These exceptional mechanics are a challenge to emulate in their own right, especially considering the accompanying demands for additional functionality. Double-network hydrogels have emerged as strong candidates for tissue engineering because of the impressive mechanics and versatility in terms of chemical makeup. Combining advances in processing (i.e., additive manufacturing and injection) with dual-network hydrogel formulations has led to an impressive collection of results, making great strides toward systems capable of addressing the demanding environment surrounding tissues while being amenable to personalized fabrication techniques. This review provides a brief summary of the most contemporary trends collected from the literature describing dual-network hydrogels being demonstrated in additive manufacturing and injectable applications

    The Key Events Dose-Response Framework: A Foundation for Examining Variability in Elicitation Thresholds for Food Allergens

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    Food allergies are caused by immunological reactions in individuals sensitized to normal protein components of foods. For any given sensitized individual, the severity of a reaction is generally assumed to be proportional to the dose of allergenic protein. There is substantial clinical evidence that “threshold” doses exist for the elicitation of an allergic reaction; however, the threshold (i.e., lowest dose that elicits a reaction) varies substantially across the sensitized population. Current approaches to protecting sensitized individuals from exposure to food allergens are highly qualitative (i.e., they rely on food avoidance). The Key Events Dose-Response Framework is an analytical approach for refining understanding of the biological basis of the dose-response. Application of this approach to food allergy provides a foundation for a more rigorous quantitative understanding of variability in allergic response. This study reviews the allergic disease process and the current approaches to identifying thresholds for food allergens. The pathway of key biological events occurring between food intake and allergic response is considered, along with factors that may determine the nature and severity of response to food allergens. Data needs, as well as implications for identifying thresholds, and for characterizing variability in thresholds, are also discussed

    The Role of Chromatin Modifications in the Evolution of Giant Plant Genomes.

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    Angiosperm genome sizes (GS) range ~2400-fold and comprise genes and their regulatory regions, repeats, semi-degraded repeats, and 'dark matter'. The latter represents repeats so degraded that they can no longer be recognised as repetitive. In exploring whether the histone modifications associated with chromatin packaging of these contrasting genomic components are conserved across the diversity of GS in angiosperms, we compared immunocytochemistry data for two species whose GS differ ~286-fold. We compared published data for Arabidopsis thaliana with a small genome (GS = 157 Mbp/1C) with newly generated data from Fritillaria imperialis, which has a giant genome (GS = 45,000 Mbp/1C). We compared the distributions of the following histone marks: H3K4me1, H3K4me2, H3K9me1, H3K9me2, H3K9me3, H3K27me1, H3K27me2, and H3K27me3. Assuming these histone marks are associated with the same genomic features across all species, irrespective of GS, our comparative analysis enables us to suggest that while H3K4me1 and H3K4me2 methylation identifies genic DNA, H3K9me3 and H3K27me3 marks are associated with 'dark matter', H3K9me1 and H3K27me1 mark highly homogeneous repeats, and H3K9me2 and H3K27me2 mark semi-degraded repeats. The results have implications for our understanding of epigenetic profiles, chromatin packaging and the divergence of genomes, and highlight contrasting organizations of the chromatin within the nucleus depending on GS itself
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