Karen H. Lu, MD

https://openworks.mdanderson.org/legendsandlegacieschapters/1014/thumbnail.jp

Representing fuzzy numbers for fuzzy calculus

In this paper we illustrate the LU representation of fuzzy numbers and present an LU-fuzzy calculator, in order to explain the use of the LU-fuzzy model and to show the advantage of the parametrization. The model can be applied either in the level-cut or in generalized LR frames. The hand-like fuzzy calculator has been developed for the MSWindows platform and produces the basic fuzzy calculus: the arithmetic operations (scalar multiplication, addition, subtraction, multiplication, division) and the fuzzy extension of many univariate functions (exponential, logarithm, power with numeric or fuzzy exponent, sin, arcsin, cos, arccos, tan, arctan, square root, Gaussian, hyperbolic sinh, cosh, tanh and inverses, erf and erfc error functions, cumulative standard normal distribution).Fuzzy Sets, LU-fuzzy Calculator, Fuzzy Calculus, Parametric LU represemtation

Роль мужских особей Hippophae rhamnoides L.. при интродукции и селекции на Урале

Интродукционные популяции H. rhamnoides L. продуцируют ценные в хозяйственном отношении формы на основе спонтанной гибридизации. Качество потомства обеспечивает количество отличающихся друг от друга мужских форм. Фенольные соединения участвуют в выработке защитных механизмов облепихи. В связи с этим в почках мужских особей интродуцента определены флавонолы, катехины и лейкоантоцианы

Exploration et gestion des connaissances des ressources en IHM

National audienceNous présentons dans l' article le résultat d'un travail réalisé à l'école de Printemps 2010 de l'AFIHM. L'analyse des activités liées à la réalisation d' un état de l'art nous montre qu'une des tâches les plus compliquées est la familiarisation avec un nouveau domaine. Pour outiller cette activité, nous présentons des pistes de réflexion basées sur une analogie avec la mémoire humaine

Matrix-Element Corrections to Parton Shower Algorithms

We discuss two ways in which parton shower algorithms can be supplemented by matrix-element corrections to ensure the correct hard limit: by using complementary phase-space regions, or by modifying the shower itself. In the former case, existing algorithms are self-consistent only if the total correction is small. In the latter case, existing algorithms are never self-consistent, a problem that is particularly severe for angular-ordered parton shower algorithms. We show how to construct self-consistent algorithms in both cases. The postscript file for this paper can also be obtained by anonymous ftp from thep.lu.se in the file pub/Preprints/lu_tp_94_17.psComment: 11 pages, LU TP 94-1