Arkansas Small-Grain Cultivar Performance Tests 2004-2005

Small-grain cultivar performance tests are conducted each year in Arkansas by the Arkansas Agricultural Experiment Station, Department of Crop, Soil and Environmental Sciences. The tests provide information to companies developing cultivars and/or marketing seed within the state and aid the Arkansas Cooperative Extension Service in formulating cultivar recommendations for smallgrain producers

A new method for the microdetermination of chlorophyll c in sea water

A method developed for the microdetermination of chlorophyll c by conversion of chlorophyll c to pheophytin c is described. This method is found to be more sensitive and specific than previously reported methods for the determination of this pigment and is suitable for open-ocean samples of only a few liters in volume

Discussion of spectrophotometric determination of marine-plant pigments, with revised equations for ascertaining chlorophylls and carotenoids

A number of discrepancies in the spectrophotometric determination of plant pigments with the Richards with Thompson method have been reported. A revised set of equations for the determination of plant chlorophylls and a new equation for the approximate estimation of plant carotenoids are presented

Misfit strain relaxation and dislocation formation in supercritical strained silicon on virtual substrates

Relaxation of strained silicon on 20% linear graded virtual substrates was quantified using high resolution x-ray diffraction and a defect etching technique. The thickness of strained silicon was varied between 10 and 180 nm. Relaxation was observed in layers below the critical thickness but increased to only 2% relaxation in the thickest layers even with annealings up to 950 °C. Cross-sectional transmission electron microscopy revealed stacking faults present in layers thicker than 25 nm, and nucleated 90° Shockley partial dislocations forming microtwins in the thickest layer. These features are implicated in the impediment of the relaxation process

A Neural Network-Based Monoscopic Reconstruction Algorithm for H.E.S.S. II

The H.E.S.S. experiment entered its phase II with the addition of a new, large telescope named CT 5 that was added to the centre of the existing array of four smaller telescopes. The new telescope is able to detect fainter air showers due to its larger mirror area, thereby lowering the energy threshold of the array from a few hundred GeV down to $\mathcal{O}(50\,\textrm{GeV})$. Due to the power-law decrease of typical {\gamma}-ray and cosmic-ray spectra of astrophysical sources a majority of detected air showers are of low energies, thus being detected by CT 5 only, which motivates the need for a reconstruction algorithm based on information from CT 5 alone. By exploiting such monoscopic events the H.E.S.S. experiment in phase II becomes sensitive in an energy range not covered by H.E.S.S. I and in which the Fermi LAT runs out of statistics. Furthermore the chance of detecting transient phenomena like {\gamma}-ray bursts is increased significantly due to the large effective area of CT 5 at low energies. In this contribution a newly developed reconstruction algorithm for monoscopic events based on neural networks is presented. This algorithm uses multilayer perceptrons to reconstruct the direction and energy of the particle initiating the air shower and also to discriminate between gamma rays and hadrons. The performance of this algorithm is evaluated and compared to other existing reconstruction algorithms. Furthermore results of first applications of the algorithm to measured data are shown

Practical experience using a computational model for the design of heterogeneous distributed software

Heterogeneous cluster environments are becoming an increasing popular platform for executing parallel applications. Efficient heterogeneous programs must account for the differences inherent in such an environment. We propose the HBSP(1) model of computation as a framework for developing applications for heterogeneous clusters of workstations. The utility of the model is demonstrated through the design and analysis of the scatter and one-to-all broadcast algorithms. Extensive experimentation illustrates the benefits of using the model for heterogeneous program development. By hiding the non-uniformity of the underlying system, the HBSP(1) model provides a framework that embraces the heterogeneity of the underlying system

Optimizing passive acoustic sampling of bats in forests

Passive acoustic methods are increasingly used in biodiversity research and monitoring programs because they are cost-effective and permit the collection of large datasets. However, the accuracy of the results depends on the bioacoustic characteristics of the focal taxa and their habitat use. In particular, this applies to bats which exhibit distinct activity patterns in three-dimensionally structured habitats such as forests. We assessed the performance of 21 acoustic sampling schemes with three temporal sampling patterns and seven sampling designs. Acoustic sampling was performed in 32 forest plots, each containing three microhabitats: forest ground, canopy, and forest gap. We compared bat activity, species richness, and sampling effort using species accumulation curves fitted with the clench equation. In addition, we estimated the sampling costs to undertake the best sampling schemes. We recorded a total of 145,433 echolocation call sequences of 16 bat species. Our results indicated that to generate the best outcome, it was necessary to sample all three microhabitats of a given forest location simultaneously throughout the entire night. Sampling only the forest gaps and the forest ground simultaneously was the second best choice and proved to be a viable alternative when the number of available detectors is limited. When assessing bat species richness at the 1-km(2) scale, the implementation of these sampling schemes at three to four forest locations yielded highest labor cost-benefit ratios but increasing equipment costs. Our study illustrates that multiple passive acoustic sampling schemes require testing based on the target taxa and habitat complexity and should be performed with reference to cost-benefit ratios. Choosing a standardized and replicated sampling scheme is particularly important to optimize the level of precision in inventories, especially when rare or elusive species are expected

Design, ancillary testing, analysis and fabrication data for the advanced composite stabilizer for Boeing 737 aircraft. Volume 1: Technical summary

The horizontal stabilizer of the 737 transport was redesigned. Five shipsets were fabricated using composite materials. Weight reduction greater than the 20% goal was achieved. Parts and assemblies were readily produced on production-type tooling. Quality assurance methods were demonstrated. Repair methods were developed and demonstrated. Strength and stiffness analytical methods were substantiated by comparison with test results. Cost data was accumulated in a semiproduction environment. FAA certification was obtained