851 research outputs found
Interactive Correspondence Analysis in a Dynamic Object-Oriented Environment
A highly interactive, user-friendly object-oriented software package written in LispStat is introduced that performs simple and multiple correspondence analysis, and profile analysis. These three techniques are integrated into a single environment driven by a user-friendly graphical interface that takes advantage of Lisp-Stat's advanced graphical capabilities. Techniques that assess the stability of the solution are also introduced. Some of the features of the package include colored graphics, incremental graph zooming capabilities, manual point separation to determine identities of overlapping points, and stability and fit measures. The features of the package are used to show some interesting trends in a large educational dataset.
Jason Bond Family History
Jason Bond authored this family history as part of the course requirements for HIST 550/700 Your Family in History offered online in Fall 2017 and was submitted to the Pittsburg State University Digital Commons. Please contact the author directly with any questions or comments: [email protected]
Proceedings of the 36th Annual Meeting, Southern Soybean Disease Workers (March 11-12, 2009, Pensacola Beach, Florida)
Contents
Contributed papers (Jason Bond, moderator)
Effects of Diseases on Soybean Yields in the United States, 1996 to 2006. Allen Wrather and Steve Koenning
Evaluation of Soybean Cultivars for Resistance to Soybean Phomopsis Seed Decay in the Mississippi Delta. Shuxian Li, Debbie Boykin, Gabriel Sciumbato, Allen Wrather, Grover Shannon, and David Sleper
The impact of timing and fungicides on soybean disease management. Boyd Padgett, Myra Purvis, Allen Hogan, and Clayton Hollier
Foliar Fungicide Impact on Frogeye Leaf Spot, Yield and Net Returns in Mississippi Soybeans. Tom Allen, Ben Spinks, Billy Moore, Alan Blaine, and Dan Poston
SCE 08: Standards for assessing resistance to SCN. TL Niblack, GL Tylka, and H Lopez-Nicora
Frogeye Leaf Spot Control Update. Melvin Newman
Graduate student papers (Clayton Hollier, moderator)
Association of Specific Variables with Severity of Asian Soybean Rust as Assessed by GIS Analysis at the Field Level. EP Mumma, RW Schneider, and CL Robertson
Presence and pathogenicity of Neocosmospora vasinfecta in Arkansas soybeans. Amanda Greer, Cliff Coker, and Sherrie Smith
Charcoal Rot: Current Status. Alemu Mengistu
Discussion sessions
SSDW Region-wide Research Needs (Allen Wrather, moderator)
SSDW Region-wide Extension Needs (Melvin Newman moderator)
Soybean Rust Monitoring Needs (Tom Allen, moderator)
Soybean Disease Atlas Slide Viewing (Boyd Padgett, moderator)
Southern United States Soybean Disease Loss Estimator for 2008. Compiled by Stephen R. Koenning
Southern Soybean Disease Workers 2008 treasury repor
Recommended from our members
The Effects of ARCS-based Confidence Strategies on Learner Confidence and Performance in Distance Education.
The purpose of this research was to manipulate the component of confidence found in Keller's ARCS model to enhance the confidence and performance of undergraduate students enrolled in an online course at a Texas university using SAM 2003 software delivery. This study also tested whether the aforementioned confidence tactics had any unintentional effect on the remaining attention, relevance, and satisfaction subscales of the ARCS model as well as on learners' overall motivation for the class and the instructional materials. This study was conducted over a 5.5-week period with an initial sample of 81 total students. Two quantitative surveys were used to measure confidence and motivation: (a) the Course Interest Survey (CIS), and (b) the Instructional Materials Motivation Survey (IMMS). The results indicated that the treatment group showed statistically greater gains than the control group in terms of learner confidence on the CIS but not the IMMS. In terms of performance, the treatment group outperformed the control group on all of the individual posttest measures and on the overall aggregate mean performance score. The results showed no statistically significant difference on the attention subsection of the ARCS model. However, statistically significant differences were noted for the relevance and satisfaction subscales of the model. There was also a statistically significant difference in overall learner motivation as measured on both surveys. This research study suggests the feasibility of improving overall learner motivation and performance through external conditions such as systematically applied confidence tactics. The research further supports claims about the effectiveness of the ARCS model as a viable tool for enhancing online learner motivation and performance. What was unclear in this study was whether individual subsections of the ARCS model, such as confidence, can be independently manipulated
Single and Combined Effects of Nematode Communities and Pythium Arrhenomanes on the Growth and Yield of Sugarcane in Louisiana.
A survey conducted from May 1995 through August 1998 revealed diverse nematode communities in sugarcane fields in Louisiana. High populations of Mesocriconema, Paratrichodorus, Pratylenchus, and Tylenchorhynchus were widespread in nine sugarcane production parishes. Comparisons of plant cane and ratoon sugarcane crops indicated that nematode community levels increase significantly in successive ratoon crops. Greenhouse experiments evaluated the susceptibility of sugarcane cultivars to a nematode community comprised of Mesocriconema xenolax, Paratrichodorus minor, and Tylenchorhynchus annulatus. Across years (1995 and 1996) and cultivars (CP 65--357, CP 70--321, LCP 82--89, HoCP 85--845, and LCP 86--454), plant height, shoot length, top and root dry weight, and the number of tillers per plant were reduced by nematodes. Growth parameters of the LCP cultivars were most affected by the nematodes, and those of cultivars HoCP 85--845 and CP 65--357 were least affected. The susceptibility of cultivars to nematodes also was evaluated in microplot experiments. Across years (1995, 1996, and 1997) and cultivars (CP 70--321 and LCP 82--89), nematodes reduced top and root dry weight and number of tillers per plant. LCP 82--89 supported higher nematode community levels and sustained the greatest amount of root damage. Nematicide trials evaluated the efficacy of aldicarb, ethoprop, and phorate against indigenous nematode populations. Aldicarb consistently increased the number of millable stalks, cane tonnage, and the yield of sucrose in soils with a high sand content. Yield increases were concomitant with reductions in the density of the nematode community shortly after planting and at harvest. In soils with a higher clay content, the chemicals were less effective in controlling nematode populations, and as a result, yield increases were minimal. Greenhouse experiments conducted in 1996, 1997, and 1998 evaluated the single and combined effects of nematodes and the sugarcane root-rot pathogen, Pythium arrhenomanes. Individually, P. arrhenomanes and nematodes reduced top and root dry weight. Temperature had a significant influence on nematode reproduction and Pythium colonization. Interactions between P. arrhenomanes and nematodes were antagonistic with regard to root dry weight and nematode reproduction
Expansion of the 4D XCAT Phantom Library with Anatomical Texture
<p>Computational phantoms are set to play an important role in imaging research. As medicine moves increasingly towards providing individualized, patient-specific care, it is imperative that simulations be completed on patient-specific anatomy, rather than a reference standard. To that end, there is need for a variety of realistic phantoms for clinical studies.</p><p> This work adds to the existing extended cardiac and torso (XCAT) adult phantom series (two phantoms based on visual human data) by building new models based on adult patient computed tomography (CT) image data. These CT datasets were obtained from Duke University's patient CT database. </p><p>Each image-set was segmented using in-house segmentation software, defining bony structures and large organs within the field of view. 3D non-uniform rational b-spline (NURBS) surfaces were fitted to the segmented data. Using the multi-channel large diffeomorphic deformation metric mapping (MC-LDDMM) network, a transform was calculated to morph an existing XCAT model to the segmented patient geometry. Fifty-eight adult XCAT models were added to the phantom library. </p><p>In addition to the expanding the XCAT library, the feasibility of incorporating texture was investigated. Currently, the XCAT phantom structures are assumed to be homogeneous. This can lead to unrealistic appearance when the phantoms are combined with imaging simulations, particularly in CT. The purpose of this project was to capture anatomical texture and test it in a simulated phantom. Image data from the aforementioned patient CT database served as the source of anatomical texture. </p><p>The images were de-noised using anisotropic diffusion. Next, several regions of interest (ROIs) were taken from the liver and lungs of CT images. Using the ROIs as a source of texture, a larger stochastic texture image-set was created using the Image Quilting algorithm. </p><p>The visual human adult male XCAT phantom was voxelized at the same resolution as the texture image. The voxels inside the liver were directly replaced by the corresponding voxels of texture. Similarly for the lung, the voxels between the existing lung bronchi/blood vessels and the lung wall were replaced by texture voxels. This procedure was performed using ten different patient CT image-sets as sources of texture. </p><p>To validate the similarity of the artificial textures to the source textures, reconstructions of the adult male XCAT phantom with added textures were compared to the clinical images via receiver operator characteristic (ROC) analysis, a two-sample t-test, equivalence test, and through comparing absolute differences between scores. </p><p>It was concluded that this framework provides a valuable tool in which anatomical texture can be incorporated into computational phantoms. It is anticipated that this step towards making many anatomically variable virtual models indicative of a patient populace and making these models more realistic will be useful in medical imaging research, especially for studies relating to image quality.</p>Thesi
Proceedings of the 31st Annual Meeting, Southern Soybean Disease Workers (February 15-16, 2004, St. Louis, Missouri)
Contents
Southern United States Soybean Disease Loss Estimate for 2003. Compiled by Stephen R. Koenning
Shifts in Soybean Disease Incidence and Severity Following Adaptation of the ESPS (Early Soybean Productions system) in Mississippi. GL Sciumbato and DH Poston
Impact of Foliar Fungicides on Soybean Yield and Net Returns. BL Spinks, DH Poston, GL Sciumbato, and MA Blaine
Inheritance of Resistance to Phompsis Seed Decay in Soybean PI 80837. EW Jackson, P Fenn, P Chen, and PK Miller
Inheritance of Resistance to Purple Seed Stain in Soybean PI 80837. EW Jackson, P Fenn, P Chen, PK Miller
Population Structure of Cercospora kikuchii as Assessed with Vegetative Compatibility Groups and DNA Fingerprints. Guohong Cai and Raymond W Schneider
Reniform Nematode Reproduction on Soybean in 2003 Tests. RT Robbins, L Rakes, LE Jackson, EE Gbur, and DG Dombek
Proceedings of the Southern Soybean Disease Workers are published annually by the Southern Soybean Disease Workers.
Text, references, figures, and tables are reproduced as they were submitted by authors. The opinions expressed by the participants at this conference are their own and do not necessarily represent those of the Southern Soybean Workers.
Mention of a trademark or proprietary products in this publication does not constitute a guarantee, warranty, or endorsement of that product by the Southern Soybean Disease Workers
- …