168 research outputs found

    Lentil canopy modification through architecture and stem stiffness

    Get PDF
    Non-Peer ReviewedCurrent large green lentil cultivars similar to the cultivar Laird are susceptible to lodging in Saskatchewan. The goal of the study was to identify characteristics of lentil canopy architecture that will lead to reduced lodging and improved yield and quality. Four stiff-stem ICARDA (FLIP) breeding lines varying in leaf size and canopy openness were compared to large green and other locally adapted cultivars at three population densities in the field in 2001 and 2002. Canopy measurements included stand establishment at seedling emergence, biomass and light interception at weekly intervals, stem stiffness, lodging score, end of season harvest index, yield, maximum height and branch number. Cultivars adapted to Saskatchewan had greater biomass, higher final branch number, and greatest overall plant height, but large green cultivars with canopy development similar to Laird had weak stems and were more prone to lodging. Two FLIP lines had less branching and lowest overall plant height, resulting in less biomass and reduced lodging compared to locally adapted cultivars. The other two FLIP lines had intermediate canopy characteristics. Crimson and CDC Milestone responded similarly to FLIP genotypes, but were more similar to the large green cultivars for lodging and biomass. CDC Milestone and Crimson had improved canopy architecture compared to large green cultivars. Cultivars adapted to Saskatchewan had significantly greater yields compared to unadapted FLIP lines. CDC Milestone had highest harvest index and the Laird types had the lowest harvest index. Reduced branching and biomass accumulation may be useful traits to help reduce lodging. Crosses between locally adapted cultivars and several FLIP lines have been made to improve lodging resistance in future cultivars

    The Reacculturation of Veterans Post Transition Assistance Program

    Get PDF
    As many as 61% of veterans have sought reintegration services after the Transition Assistance Program (TAP) to help them cope with culture shock. TAP is not designed to address cultural transition. However, culture shock has resulted in disassociating behavior, unemployment, and homelessness in the veteran community. The purpose of this study was to identify the unmet reacculturation needs of post-active duty veterans in Chester County, Pennsylvania, who have utilized the United States’ Department of Defense’s TAP. Using an ethnographic approach, this study identified the extent that the TAP helps 13 post-active duty veterans obtain the autonomy stage of culture shock theory to the extent of career transition preparation only. In areas of reacculturation, veterans reported feeling on their own to manage mounds of paperwork during a perceived pointless “check the box” out process course set to calibrate an individual to civilian life through “toxic positivity.” This study found that veterans do not perceive separation from the military as solely a career change but as a cultural and lifestyle change. TAP does not address the needs of cultural and/or lifestyle changes, which impedes veterans\u27 reacculturation through autonomy obtainment. It is recommended that TAP expand the application of 10 U.S.C. §1142(b)(10) to include cultural transition as a part of the transition plan. Addressing veterans\u27 culture shock will help reduce the 20 veteran suicides per day due to readjustment issues leading to positive social change

    Twist and Measure: Characterizing the Effective Radius of Strings and Bundles under Twisting Contraction

    Full text link
    We test the standard model for the length contraction of a bundle of strings under twist, and find deviation that is significantly greater than typically appreciated and that has a different nature at medium and large twist angles. By including volume conservation, we achieve better fits to data for single-, double-, and triple-stranded bundles of Nylon monofilament as an ideal test case. This gives a well-defined procedure for extracting an effective twist radius that characterizes contraction behavior. While our approach accounts for the observed faster-than-expected contraction up to medium twist angles, we also find that the contraction is nevertheless slower than expected at large twist angles for both Nylon monofilament bundles and several other string types. The size of this effect varies with the individual-string braid structure and with the number of strings in the bundle. We speculate that it may be related to elastic deformation within the material. However, our first modeling attempt does not fully capture the observed behavior.Comment: 8 pages, 8 figure

    X-Ray Emission from Rotating Elliptical Galaxies

    Full text link
    The slow inward flow of the hot gas in elliptical galaxy cooling flows is nearly impossible to detect directly due to instrumental limitations. However, in rotating galaxies, if the inflowing gas conserves angular momentum, it will eventually form a disk. The X-ray signature of this phenomenon is a flattening of the X-ray isophotes in the inner 1-10 kpc region. This effect is observable, so we have searched for it in X-ray observations of six rotating and non-rotating early-type galaxies, obtained mainly with the ROSAT PSPC and HRI imagers. The ellipticities of the X-ray emission never increase toward the central region, nor are the X-ray ellipticities significantly greater than the ellipticities for the optical stellar emission. Central ellipticities in excess of 0.5 were expected in rotating ellipticals whereas values of 0-0.2 are measured. The failure to detect the expected signature requires a modification to the standard cooling flow picture, possibly including partial galactic winds, rapid mass drop-out, or turbulent redistribution of angular momentum.Comment: 34 postscript pages; ApJ, in press (Feb 10,2000

    Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation

    Full text link
    The conversion of raw images into quantifiable data can be a major hurdle in experimental research, and typically involves identifying region(s) of interest, a process known as segmentation. Machine learning tools for image segmentation are often specific to a set of tasks, such as tracking cells, or require substantial compute or coding knowledge to train and use. Here we introduce an easy-to-use (no coding required), image segmentation method, using a 15-layer convolutional neural network that can be trained on a laptop: Bellybutton. The algorithm trains on user-provided segmentation of example images, but, as we show, just one or even a portion of one training image can be sufficient in some cases. We detail the machine learning method and give three use cases where Bellybutton correctly segments images despite substantial lighting, shape, size, focus, and/or structure variation across the regions(s) of interest. Instructions for easy download and use, with further details and the datasets used in this paper are available at pypi.org/project/Bellybuttonseg.Comment: 6 Pages 3 Figure
    • …
    corecore