Kinetic equations for Stark line shapes

The BBGKY formalism is revisited in the framework of plasma spectroscopy. We address the issue of Stark line shape modeling by using kinetic transport equations. In the most simplified treatment of these equations, triple correlations between an emitter and the perturbing charged particles are neglected and a collisional description of Stark effect is obtained. Here we relax this assumption and retain triple correlations using a generalization of the Kirkwood truncature hypothesis to quantum operator. An application to hydrogen lines is done in the context of plasma diagnostic, and indicates that the neglect of triple correlations can lead to a significant overestimate of the line width.Comment: 13 pages, 1 figur

Disability in community-dwelling older adults: the role of stroke and dementia

Medical Schoolhttps://deepblue.lib.umich.edu/bitstream/2027.42/148198/1/stammbj.pd

2015 National Winter Canola Variety Trial

The objectives of the National Winter Canola Variety Trial (NWCVT) are to evaluate the performance of released and experimental varieties, determine where these varieties are best adapted, and increase the visibility of winter canola across the United States. Breeders, marketers, and producers use data collected from the trials to make informed variety selections. The NWCVT is planted at locations in the Great Plains, Midwest, northern U.S., and Southeast. Senior Authors: Michael Stamm and Scott Dooley, Deptartment of Agronomy, Kansas State University, Manhattan; Other Contributors: Sangu Angadi and Sultan Begna, New Mexico State University, Clovis; Brian Baldwin and Jesse Morrison, Mississippi State University, Starkville; Tracy Beedy, Oklahoma State University, Goodwell; Jourdan Bell, Texas AgriLife Research and Extension Service, Amarillo; Abdel Berrada, Colorado State University, Yellow Jacket; Harbans Bhardwaj, Virginia State University, Petersburg; Matthew Blair and Daniel Ambachew, Tennessee State University, Nashville; Indi Braden, Southeast Missouri State University, Cape Girardeau; Jack Brown, Jim Davis, and Megan Wingerson, University of Idaho, Moscow; Joshua Bushong, Oklahoma State University, Stillwater; Brian Caldbeck, Caldbeck Consulting, Philpot, Kentucky; Claire Caldbeck, Rubisco Seeds, Philpot, Kentucky; Ernst Cebert, Alabama A&M University, Normal; Gary Cramer, Kansas State University, Wichita; John Damicone and Tyler Pierson, Oklahoma State University, Stillwater; Heather Darby and Sara Ziegler, University of Vermont, St. Albans; Jason de Koff and Chris Robbins, Tennessee State University, Nashville; Dennis Delaney, Auburn University, Auburn, Alabama; Paul DeLaune, Texas AgriLife Research Service, Vernon; Dean Elvin, Marquette, Kansas; Eric Eriksmoen, North Dakota State University, Minot; Andrew Esser, Kansas State University, Belleville; John Gassett, Mitch Gilmer, H. Jordan, and Gary Ware, University of Georgia, Griffin; Todd Higgins, Lincoln University, Jefferson City, Missouri; Johnathon Holman and Scott Maxwell, Kansas State University, Garden City; Kimberly Hunter, USDA-ARS, Temple, Texas; Burton Johnson, North Dakota State University, Fargo; Jerry Johnson and Edward Asfeld, Colorado State University, Ft. Collins; Paul Lange, Conway Springs, Kansas; Kevin Larson, Colorado State University, Walsh; David Lee and Melvin Henninger, Rutgers University, Woodstown, New Jersey; Josh Lofton, Oklahoma State University, Stillwater; Charles Mansfield, Purdue University, Vincennes; Lloyd Murdock and John James, University of Kentucky, Lexington; Jerry Nachtman, University of Wyoming, Lingle; Clark Neely and Daniel Hathcoat, Texas A&M University, College Station; Calvin Pearson, Colorado State University, Fruita; Charlie Rife, High Plains Crop Development, Torrington, Wyoming; Brett Rushing, Mississippi State University, Newton; Dipak Santra, University of Nebraska-Lincoln, Scottsbluff; Robert Schrock, Kiowa, Kansas; Tyler Thomas, Fly Over States Ag Research, Troy, Kansas; Wade Thomason and Steve Gulick, Virginia Tech University, Blacksburg; Calvin Trostle and Jonathan Shockey, Texas AgriLife Extension Service, Lubbock; Dennis West, University of Tennessee, Knoxville

2014 National Winter Canola Variety Trial

The objectives of the National Winter Canola Variety Trial (NWCVT) are to evaluate the performance of released and experimental varieties, determine where these varieties are best adapted, and increase the visibility of winter canola across the United States. Breeders, marketers, and producers use data collected from the trials to make informed variety selections. The NWCVT is planted at locations in the Great Plains, Midwest, northern U.S., and Southeast. Senior Authors Michael Stamm, Dept. of Agronomy, Kansas State University, Manhattan Scott Dooley, Dept. of Agronomy, Kansas State University, Manhattan Other Contributors Sangu Angadi and Sultan Begna, New Mexico State University, Clovis Brian Baldwin, Mississippi State University, Starkville Abdel Berrada, Colorado State University, Yellow Jacket Harbans Bhardwaj, Virginia State University, Petersburg Indi Braden, Southeast Missouri State University, Cape Girardeau Joshua Bushong, Oklahoma State University, Stillwater Brian Caldbeck, Caldbeck Consulting, Philpot, Kentucky Claire Caldbeck, Rubisco Seeds, Philpot, Kentucky Ernst Cebert, Alabama A&M University, Normal Jeff Chandler, North Carolina State University, Mills River Gary Cramer, Kansas State University, Wichita John Damicone and Tyler Pierson, Oklahoma State University, Stillwater Heather Darby, University of Vermont, St. Albans Jeffery Davidson, Mike Bartolo, and Kevin Tanabe, Colorado State University, Rocky Ford Jim Davis and Megan Wingerson, University of Idaho, Moscow Dennis Delaney, Auburn University, Auburn, Alabama Paul DeLaune, Texas AgriLife Research Service, Vernon Eric Eriksmoen, North Dakota State University, Minot John Garner and Adam Heitman, North Carolina State University, Wallace John Gassett, Mitch Gilmer, H. Jordan, and Gary Ware, University of Georgia, Griffin Nicholas George, University of California-Davis Brent Gruenbacher and Mike Patry, Andale, Kansas Todd Higgins, Lincoln University, Jefferson City, Missouri Johnathon Holman, Kansas State University, Garden City Burton Johnson, North Dakota State University, Fargo Jerry Johnson, Colorado State University, Ft. Collins Rick Kochenower, Oklahoma State University, Goodwell Kevin Larson, Colorado State University, Walsh David Lee and Melvin Henninger, Rutgers University, Woodstown, New Jersey Charles Mansfield, Vincennes University, Vincennes Lloyd Murdock and John James, University of Kentucky, Lexington Jerry Nachtman, University of Wyoming, Lingle Clark Neely and Daniel Hathcoat, Texas A&M University, College Station Mick O’Neill and Curtis Owen, New Mexico State University, Farmington Calvin Pearson, Colorado State University, Fruita Charlie Rife, High Plains Crop Development, Torrington, Wyoming Dipak Santra, University of Nebraska-Lincoln, Scottsbluff Robert Schrock, Kiowa, Kansas Peter Sexton, South Dakota State University, Brookings Tyler Thomas, Fly Over States Ag Research, Troy, Kansas Wade Thomason and Steve Gulick, Virginia Tech University, Blacksburg Calvin Trostle and Jonathan Shockey, Texas AgriLife Extension Service, Lubbock Dennis West, University of Tennessee, Knoxville Amber Williams, USDA-ARS, Temple, Texa

Joining wood by friction welding

At the Chair of Timber Constructions of the Swiss Federal Institute of Technology in Lausanne (EPFL) tests were carried out to join wooden work pieces by friction welding without any additional welding deposit. It could be determined that this kind of technology, which is mainly used for thermoplastics and metal, can also be applied to wood. Tests were carried out to determine the influence of the processing parameters like welding pressure, frequency and amplitude of the circular movement on the welding process and the input of energy at the interface. In addition, the resistance of the joint was examined. The development of the shear strength during solidification of the interface as well as the shear strength achievable after a complete solidification of the interface was the objective of the examinations. Furthermore, the microstructure of the welded joint was studied to reveal the manner in which the thermally decomposed wood forms the connection between the welded piece

My Tattoos Caused My Dry Eye? A New Way To Look At Diagnosis And Treatment For Patients With Tattoo Eyeliner

Purpose: This case report describes the potential impact of tattooed eyeliner on eyelid structure and function resulting in an increase in dry eye symptoms and findings. Case Report: A 59-year-old Hispanic female presented for an evaluation following longstanding dry eye symptoms with little relief from artificial tears. Imaging showed meibomian gland dropout, possibly a result of her tattooed eyeliner. Symptoms and objective measurements improved successfully with warm compresses, lid massage, and lipid-based artificial tears. Conclusions. Permanent tattooed eyeliner may enhance dryness of the eyes in two main ways: disruption of the architecture of the lids and chronic inflammation from tattoo pigment granules. Recognizing these possible effects in patients with tattooed eyeliner may help tailor treatment to be specific to the etiology of the patient’s dry eye: aiding the remaining meibomian glands by utilizing warm compresses, lid massage and supplementing the lipid from the missing meibomian glands by employing lipid-based artificial tears

On the use of blow up to study regularizations of singularities of piecewise smooth dynamical systems in R3\mathbb{R}^3

In this paper we use the blow up method of Dumortier and Roussarie \cite{dumortier_1991,dumortier_1993,dumortier_1996}, in the formulation due to Krupa and Szmolyan \cite{krupa_extending_2001}, to study the regularization of singularities of piecewise smooth dynamical systems \cite{filippov1988differential} in $\mathbb R^3$. Using the regularization method of Sotomayor and Teixeira \cite{Sotomayor96}, first we demonstrate the power of our approach by considering the case of a fold line. We quickly recover a main result of Bonet and Seara \cite{reves_regularization_2014} in a simple manner. Then, for the two-fold singularity, we show that the regularized system only fully retains the features of the singular canards in the piecewise smooth system in the cases when the sliding region does not include a full sector of singular canards. In particular, we show that every locally unique primary singular canard persists the regularizing perturbation. For the case of a sector of primary singular canards, we show that the regularized system contains a canard, provided a certain non-resonance condition holds. Finally, we provide numerical evidence for the existence of secondary canards near resonance.Comment: To appear in SIAM Journal of Applied Dynamical System

The Inferred Cardiogenic Gene Regulatory Network in the Mammalian Heart

Cardiac development is a complex, multiscale process encompassing cell fate adoption, differentiation and morphogenesis. To elucidate pathways underlying this process, a recently developed algorithm to reverse engineer gene regulatory networks was applied to time-course microarray data obtained from the developing mouse heart. Approximately 200 genes of interest were input into the algorithm to generate putative network topologies that are capable of explaining the experimental data via model simulation. To cull specious network interactions, thousands of putative networks are merged and filtered to generate scale-free, hierarchical networks that are statistically significant and biologically relevant. The networks are validated with known gene interactions and used to predict regulatory pathways important for the developing mammalian heart. Area under the precision-recall curve and receiver operator characteristic curve are 9% and 58%, respectively. Of the top 10 ranked predicted interactions, 4 have already been validated. The algorithm is further tested using a network enriched with known interactions and another depleted of them. The inferred networks contained more interactions for the enriched network versus the depleted network. In all test cases, maximum performance of the algorithm was achieved when the purely data-driven method of network inference was combined with a data-independent, functional-based association method. Lastly, the network generated from the list of approximately 200 genes of interest was expanded using gene-profile uniqueness metrics to include approximately 900 additional known mouse genes and to form the most likely cardiogenic gene regulatory network. The resultant network supports known regulatory interactions and contains several novel cardiogenic regulatory interactions. The method outlined herein provides an informative approach to network inference and leads to clear testable hypotheses related to gene regulation