Background: Gestational trophoblastic neoplasia (GTN) originates from placental trophoblast and is a highly chemosensitive and curable gynecologic malignancy. The present study was conducted to evaluate the effectiveness and safety of EMA/EP (etoposide, methotrexate, actinomycin-D, etoposide, and cisplatin) regimen in the treatment of high-risk GTN as well as patients’ outcome.  &nb...

Evolutionary algorithms (EAs) are a class of stochastic search algorithms applicable to a wide range of problems in learning and optimisation. They have been applied to numerous problems in combinatorial optimi-sation, function optimisation, artiicial neural network learning, fuzzy logic system learning, etc. This paper rst introduces EAs and their basic operators. Then an overview of three maj...

Neonate ruminants possess little cell-wall and starch degrading enzyme activity. Importantly, early establishment of fibrolytic, amylolytic, and proteolytic capacities is influential for the early expansion of the reticulorumen epithelia. Such an early development in reticulorumen fermentation will enable a timely hepatic adaptation to volatile fatty acids assimilation. The early nutrient relea...

A large deviation technique is used to calculate the microcanonical entropy function s(v,m) of the mean-field φ4-model as a function of the potential energy v and the magnetization m. As in the canonical ensemble, a continuous phase transition is found. An analytical expression is obtained for the critical energy vc(J) as a function of the coupling parameter J .

Abstract A Hilbert space operator is said to be core invertible if it has an inner inverse whose range coincides with the of and null adjoint . This notion was introduced by Baksalary, Trenkler, Rakić, Dinčić, Djordjević in last decade, who also proved that invertibility equivalent group inverses coincide only a so-called EP operator. The present paper contains criteria for property as well for...

Evolutionary programming (EP) has been applied with success to many numerical and com-binatorial optimization problems in recent years. However, EP has rather slow convergence rates on some function optimization problems. In this paper, a \fast EP" (FEP) is proposed which uses a Cauchy instead of Gaussian mutation as the primary search operator. The relationship between FEP and classical EP (CE...

Evolutionary computation has started to receive significant attention during the last decade, although the origins can be traced back to the late 1950’s. This article surveys the history as well as the current state of this rapidly growing field. We describe the purpose, the general structure, and the working principles of different approaches, including genetic algorithms (GA) [with links to g...

Due to their intuitive interpretation, Bayesian Network models are often sought as useful descriptive and predictive models for the available data. Learning algorithms trying to ascertain the best BN model (graph structure) are therefore of the greatest interest. In this paper we examine a number of Evolutionary Programming algorithms for this network induction problem. Our algorithms build on ...

Representation and reproduction operators are important issues in Genetic Algo-rithms(GAs). When optimising numerical functions some researchers advocate using oating point representation instead of bit-string representation. Floating point representation is also used in Evolutionary Strategies(ESs) and Evolutionary Program-ming(EP). We show that it is not the representation that is responsible...