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]

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

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

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

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

Proceedings of the 38th Annual Meeting, Southern Soybean Disease Workers (March 9-10, 2011, Pensacola Beach, Florida)

Contents Southern United States Soybean Disease Loss Estimates for 2010. Compiled by SR Koenning Poster presentation Soybean Varieties and Breeding Lines Shown With Resistance to Reniform Nematode in Greenhouse Tests, 1998-2010 R. T. Robbins, and L. E. Jackson Oral presentations Frogeye Leaf Spot (Cercorosa sojina) symposium (Boyd Padgett, moderator) Development of Baseline Cercospora sojina Sensitivity Levels to Quinone Outside Inhibitor Fungicides and Monitoring for Resistance. GR Zhang and CA Bradley Soybean Pathogen Found to be Resistant to Fungicides MA Newman and CA Bradley Strobilurin-resistant Cercospora sojina in Kentucky: Field History. D Hershman Graduate student paper competition (Tom Allen, moderator) Mycoparasitism of Phakopsora pachyrhizi by Simplicillium lanosoniveum and Its Effects on Soybean Rust: A Microscopy Study. NA Ward, K Maruthachalam, KV Subbarao, M Brown, Y Xiao, CL Robertson, CG Giles, and RW Schneider Relationship Between Stink Bugs and Phomopsis Seed Decay in Mississippi Soybean Production. JL Jones, A Catchot, and F Musser Survey of Multiple Seed Isolates of Cercospora kikuchii from Louisiana, Arkansas, and Missouri for Resistance to Thiophanate-methyl, Azoxystrobin, and Pyraclostrobin in vitro. PP Price, MA Purvis, GB Padgett, and RW Schneider Assessing the Validity of Diagnostic Quantitative PCR Assays for Phakopsora pachyrhizi and P. meibomiae. TA Rush, RW Schneider, MC Aime, and GL Hartman Southern Soybean Disease Workers paper session (Jason Bond and Tom Allen, moderators) Review of the 2010 Sudden Death Syndrome Outbreak in Iowa. L Leandro Managing Frogeye Leaf Spot in Illinois. C Vick, A Vick, B Hoene, M Butera, H Sabo, A Ward, and JP Bond The Fusarium Root Rot Complex on Soybean in Minnesota. D Malvick The Influence of Fungicide Seed Treatments on Plant Establishment and Grain Quality and Yield. GB Padgett, M Purvis, and P Price, III Yield Loss Relationships for Several Soybean Diseases and Development of a Cost:Benefit Calculator. RW Schneider, GB Padgett, KM Guidry, and PK Bollich NCSRP Update. D Wright Monitoring for Soybean Rust at Guantanamo Bay. EJ Sikora Fungicide Efficacy Against the 2010 Aerial Blight Epidemic in Louisiana. CA Hollier Foliar Fungicides Impact on Arkansas’ Endemic Soybean Diseases. CM Coker and AM Greer USB Funding update. R Joost Pythium spp., Phytophthora sojae, Macrophomina, and SCN: Just a Few Challenges While Waiting for Soybean Rust in Ohio. A Dorrance, M Ellis, and K Gearhart Fluxapyroxad: New Fungicide for Soybean Disease Control. G Fellows and N Fassler Maturity Group IV Soybean Seed Quality: Mississippi Perspectives from 2009 and 2010. TW Allen, CH Koger, A Catchot, D Cook, J Gore, N Buehring, HR Smith, and F Musser S05-11482: a high yielding soybean with resistance to multiple diseases and nematode species. JG Shannon, JA Wrather, MA Woolard, SL Smothers, SM Pathan, HT Nguyen, and RT Robbins 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