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Continued advances in genetic engineering have made possible the high-level expression of correctly processed cellular, viral and bacterial polypeptides. This article focuses on viral expression vectors and, more specifically, the vaccinia virus expression system. Vaccinia virus has been used to express a variety of proteins with useful immunogenic, catalytic or pharmaceutical properties. We discuss briefly the biology of vaccinia and its significance in the use of vaccinia as an expression vector, the variety of vaccinia systems currently in use and, finally, we summarize some recent developments which bode well for future applications of vaccinia virus technology.  相似文献   
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Understanding the structure and dynamics of cortical connectivity is vital to understanding cortical function. Experimental data strongly suggest that local recurrent connectivity in the cortex is significantly non-random, exhibiting, for example, above-chance bidirectionality and an overrepresentation of certain triangular motifs. Additional evidence suggests a significant distance dependency to connectivity over a local scale of a few hundred microns, and particular patterns of synaptic turnover dynamics, including a heavy-tailed distribution of synaptic efficacies, a power law distribution of synaptic lifetimes, and a tendency for stronger synapses to be more stable over time. Understanding how many of these non-random features simultaneously arise would provide valuable insights into the development and function of the cortex. While previous work has modeled some of the individual features of local cortical wiring, there is no model that begins to comprehensively account for all of them. We present a spiking network model of a rodent Layer 5 cortical slice which, via the interactions of a few simple biologically motivated intrinsic, synaptic, and structural plasticity mechanisms, qualitatively reproduces these non-random effects when combined with simple topological constraints. Our model suggests that mechanisms of self-organization arising from a small number of plasticity rules provide a parsimonious explanation for numerous experimentally observed non-random features of recurrent cortical wiring. Interestingly, similar mechanisms have been shown to endow recurrent networks with powerful learning abilities, suggesting that these mechanism are central to understanding both structure and function of cortical synaptic wiring.  相似文献   
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Methods for carbon footprinting typically combine all emissions into a single result, representing the emissions of greenhouse gases (GHGs) over the life cycle. The timing of GHG impacts, however, has become a matter of significant interest. In this study, two approaches are used to characterize the timing of GHG emission impacts associated with the production of energy from various biomass residues produced by the forest products industry. The first approach accounts for the timing of emissions and characterizes the impact using Intergovernmental Panel on Climate Change (IPCC) 100‐year global warming potentials (GWPs). The second is a dynamic carbon footprint approach that considers the timing of the GHG emissions, their fate in the atmosphere, and the associated radiative forcing as a function of time. The two approaches generally yield estimates of cumulative impacts over 100 years that differ by less than 5%. The timing of impacts, however, can be significantly affected by the approach used to characterize radiative forcing. For instance, the time required to see net benefits from a system using woody mill residues (e.g., bark and sawdust) is estimated to be 1.2 years when using a fully dynamic approach, compared to 7.5 years when using 100‐year GWPs, with the differences being primarily attributable to methane (CH4). The results obtained for a number of different biomass residue types from forest products manufacturing highlight the importance of using a fully dynamic approach when studying the timing of emissions impacts in cases where emissions are distributed over time or where CH4 is a significant contributor to the emissions.  相似文献   
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The round goby, Apollonia melanostoma, a molluscivore specialist, was introduced to the Great Lakes in the early 1990s and rapidly expanded its distribution, especially in Lake Erie. Adult round goby morphology suggests low dispersal and migration potential due to the lack of a swim bladder and benthic life style. Given that the larval stage occurs inside the benthic egg, and juveniles have adult morphologies, it has been suspected that dispersal and invasion potential is low for early life stages also. However, we identified early juvenile round gobies in the nocturnal pelagic in Lake Erie and thus we conducted a sampling study to determine the extent to which this life stage uses the nocturnal pelagic. Replicate ichthyoplankton samples were collected at 3-h intervals (1900–0700 h) at three depths (2 m, 5 m, 8 m) in western Lake Erie (water depth = 10 m) in July and August 2002 and June 2006. Early juvenile round gobies (6–23 mm TL) were present almost exclusively in the nocturnal samples (2200 h, 0100 h, 0400 h) with peak densities approaching 60 individuals per 100 m3 of water sampled. Nocturnal density was also significantly greater at 8-m depth versus 2-m and only the smallest fish (6–8 mm TL) migrated to the surface (2-m). Analyses of diet clearly demonstrated that these fish are foraging on plankton at night and thus may not be light limited for foraging in ship ballast tanks. In ships that take on thousands of tonnes of water for ballast, nocturnal ballasting could easily result in transport of thousands of young round gobies at a time. Additionally, within-lake dispersal at this lifestage is likely common and may facilitate downstream passage across barriers designed to limit range expansion.  相似文献   
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