Discrete retardance second harmonic generation ellipsometry

A new instrument was constructed to perform discrete retardance nonlinear optical ellipsometry (DR-NOE). The focus of the design was to perform second harmonic generation NOE while maximizing sample and application flexibility and minimizing data acquisition time. The discrete retardance configuration results in relatively simple computational algorithms for performing nonlinear optical ellipsometric analysis. NOE analysis of a disperse red 19 monolayer yielded results that were consistent with previously reported values for the same surface system, but with significantly reduced acquisition times.     

Measuring progress in Premo order-verification

Since verification of computational simulation codes requires significant resources, the ability to measure progress in verification is critical to assess whether resources are being applied appropriately. Additionally, potential users need to know what fraction of the software has been order-verified. In this study, the procedures and progress measures presented by Knupp et al. (Measuring progress order-verification within software development projects. Engineering with Computers, appears in this issue, 2007) are demonstrated on the Premo software, which simulates compressible aerodynamics through and around general geometries. Premo was selected for this demonstration because extensive order-verification tests have been previously performed, yet no systematic effort has been made to assess test-suite completeness or progress. This effort was performed to identify the practical issues encountered when attempting to apply the ideas by Knupp (Measuring progress order-verification within software development projects. Engineering with Computers, appears in this issue, 2007) to existing production-quality software. In this work, a non-specific order-verification exercise is considered, as opposed to an application-specific order-verification exercise, since past and present Premo order-verification efforts have been motivated by the need to verify all of the code, rather than portions relevant for specific applications. Constructing an order-verification test suite that verifies the order of accuracy of all the code capabilities is a major step in measuring progress. A practical approach to test-suite construction is described that helps create a complete test suite through a combination of coarse-grain code coverage, input-keyword inspection, discretization-algorithm documentation, and expert knowledge. Some of the difficulties and issues encountered during the construction of the test suite are described, along with recommendations on how to deal with them. Once the test suite is constructed, the progress measures proposed by Knupp (Measuring progress order-verification within software development projects. Engineering with Computers, appears in this issue, 2007) can be evaluated and used to reconstruct the history of progress in Premo verification over the past several years. Gaps in Premo verification are identified and indicate future directions for making progress. Additionally, a measure of Premo verification fitness is computed for selected applications commonly simulated in the aerospace industry. It is hoped that this demonstration will provide a practical example for other software-development groups in measuring their own verification progress. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed-Martin Company, for the United States Department of Energy’s National Nuclear Security Administration under Contract DE-AC04-94AL85000.

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ProteinParser--a community based tool for the generation of a detailed protein consensus and FASTA output

Comparison of bioinformatic data is a common application in the life sciences and beyond. In this communication, a novel Java based software tool, ProteinParser, is outlined. This software tool calculates a detailed consensus, or most common, amino acid at a given position in an aligned protein set, whilst also generating a full consensus protein FASTA output. A second application of this software tool, computing a consensus amino acid given a tolerance threshold, is also demonstrated. The phytase and the common bacterial beta-lactamase proteins are analysed as 'proof of concept' examples. Consensus proteins, as generated by ProteinParser, are regularly utilised in the selection of residues for protein stabilisation mutagenesis; however, this widely applicable software tool will find many alternative applications in areas such as protein homology modelling.     

Acoustic environment as an indicator of social and physical context

Acoustic environments provide many valuable cues for context-aware computing applications. From the acoustic environment we can infer the types of activity, communication modes and other actors involved in the activity. Environmental or background noise can be classified with a high degree of accuracy using recordings from microphones commonly found in PDAs and other consumer devices. We describe an acoustic environment recognition system incorporating an adaptive learning mechanism and its use in a noise tracker. We show how this information is exploited in a mobile context framework. To illustrate our approach we describe a context-aware multimodal weather forecasting service, which accepts spoken or written queries and presents forecast information in several forms, including email, voice and sign languages.

Water vapor absorption at isotopic CO2 laser wavelengths

Water vapor absorption at 161 wavelengths, from 9.2 to 11.9 micron, of the 12C1602, 13C1602, and 14CI602 lasers was measured using a resonant optoacoustic spectrometer. Results were obtained at several precisely determined vapor concentrations in a flow of pure air at a total pressure of 1 atm. Since the same apparatus and methodology were used for all measurements, a reliable assessment can be made of the relative merits of the three lasers in applications such as atmospheric propagation and ranging.     

First evidence of grass carp recruitment in the Great Lakes Basin

We use aging techniques, ploidy analysis, and otolith microchemistry to assess whether four grass carp Ctenopharyngodon idella captured from the Sandusky River, Ohio were the result of natural reproduction within the Lake Erie Basin. All four fish were of age 1 +. Multiple lines of evidence indicate that these fish were not aquaculture-reared and that they were most likely the result of successful reproduction in the Sandusky River. First, at least two of the fish were diploid; diploid grass carp cannot legally be released in the Great Lakes Basin. Second, strontium:calcium (Sr:Ca) ratios were elevated in all four grass carp from the Sandusky River, with elevated Sr:Ca ratios throughout the otolith transect, compared to grass carp from Missouri and Arkansas ponds. This reflects the high Sr:Ca ratio of the Sandusky River, and indicates that these fish lived in a high-strontium environment throughout their entire lives. Third, Sandusky River fish were higher in Sr:Ca ratio variability than fish from ponds, reflecting the high but spatially and temporally variable strontium concentrations of southwestern Lake Erie tributaries, and not the stable environment of pond aquaculture. Fourth, Sr:Ca ratios in the grass carp from the Sandusky River were lower in their 2011 growth increment (a high water year) than the 2012 growth increment (a low water year), reflecting the observed inverse relationship between discharge and strontium concentration in these rivers. We conclude that these four grass carp captured from the Sandusky River are most likely the result of natural reproduction within the Lake Erie Basin.     

A framework for evaluating pairwise and multiway synchrony among stimulus-driven neurons

Several authors have previously discussed the use of log-linear models, often called maximum entropy models, for analyzing spike train data to detect synchrony. The usual log-linear modeling techniques, however, do not allow time-varying firing rates that typically appear in stimulus-driven (or action-driven) neurons, nor do they incorporate non-Poisson history effects or covariate effects. We generalize the usual approach, combining point-process regression models of individual neuron activity with log-linear models of multiway synchronous interaction. The methods are illustrated with results found in spike trains recorded simultaneously from primary visual cortex. We then assess the amount of data needed to reliably detect multiway spiking.     

Numerical simulation of hypervelocity impact on CFRP/Al HC SP spacecraft structures causing penetration and fragment ejection

A representative carbon fiber reinforced plastic/aluminum honeycomb sandwich panel (CFRP/Al HC SP) spacecraft structure has been modeled in the hydrocode AUTODYN using the state-of-the-art ADAMMO material model [Riedel W, Harwick W, White D, Clegg R. Advanced material damage models for numerical simulation codes. ESA CR(P) 4397, 2003] to study the performance of the structure during impact events that cause perforation and fragment ejection. A new procedure combining a series of existing theoretical methods has been developed and applied to derive a full set of coarse material data. The data set has been implemented in AUTODYN, and the results of the numerical simulation have been compared to experimental impact test data. For impact tests performed near the structural ballistic limit, quantitatively accurate results were obtained over a range of impact velocities and angles. A further increase in the projectile size resulted in significant destruction of the sandwich panel front face-sheet and diversion from the experimental damage measurements. Inspection of the numerical model has shown non-localized propagation of inter-laminar delaminations, possibly caused by an under-prediction of the laminate dynamic inter-laminar tensile strength. The effects of the delamination propagation occur over an extended time scale and were not found to affect the state and trends of the fragment cloud ejected into the satellite interior. Accordingly, experimental trends of fragment cloud dispersion have been qualitatively reproduced.     

Creating Space: The Fourfold Dynamics of Potential Space.

Winnicott conceived of potential space primarily in terms of the vicissitudes of illusion and reality. Loosened from its ties to illusion and reality, potential space is depicted in terms of 4 interrelated, dialectical processes (surrender-generation, recognition-negation, care-quiescence, and disruption-repair), which can be found, in part, in Winnicott's formulations. Reformulating potential space in terms of these fourfold pairs captures the complexity and paradox of the presence and absence of self-states in successful and failed developmental and psychoanalytic interactions. In addition, these 4 interpersonal dynamics more adequately extend the concept of potential space to all phases of human life. (PsycINFO Database Record (c) 2010 APA, all rights reserved)