this paper considers the search problem, introduced by srivastava cite{sr}. this is a model discrimination problem. in the context of search linear models, discrimination ability of search designs has been studied by several researchers. some criteria have been developed to measure this capability, however, they are restricted in a sense of being able to work for searching only one possible non...

to describe the rheological behavior of polymer blends using emulsionbased (palierne theory) as well as micromechanical models (coranapproach), two immiscible polymeric blend systems of poly(trimethylene terephthalate) (ptt)/polyamide-12 (pa12) and ptt/polyethylene (pe) having different levels of molecular interactions were investigated as model systems. the role of interfacial interactions, vi...

abstract background: beginning and continuing pregnancy with obesity and being overweight has some known side effects for the mother and the fetus. preventing these complications requires medical interventions before pregnancy. because designing health improvement interventions requires understanding of the related factors of the behavior, the aim of this study was to determine the relation bet...

interest rate ad valorem tariffs are considered as the most prominent trade tools extensively used in the framework of spatial equilibrium models (sems) to analyze agricultural and food trade policies around the world. however the results obtained from such models have been criticized because of their inadequacy in producing any observed data within the base period. hence a positive spatial and...

the present paper deals with development of a simulation model for the performance evaluation of feed water system of a thermal power plant using markov birth-death process and probabilistic approach. in present paper, the feed water system consists of four subsystems. after drawing transition diagram for feed water system, differential equations are developed and then solved recursively using ...

in this study, detection and identification of common faults in industrial gas turbines is investigated. we propose a model-based robust fault detection(fd) method based on multiple models. for residual generation a bank of local linear neuro-fuzzy (llnf) models is used. moreover, in fault detection step, a passive approach based on adaptive threshold is employed. to achieve this purpose, the a...

introduction: peripheral nerve injury leads to neuropathic pain syndromes and different sensation like allodynia and hyperalgesia. different animal models of neuropathic pain are used to study the neuropathic pain mechanisms. the present study was performed on two models, (sni). the purpose of this study was comparing the behavioral responses of yhese two models and the role of saphenous and su...

abstract accurate prediction of hourly minimum temperature is required for various crop models which simulate photosynthesis and transpiration. such data can be used for crop protection and reducing the crops injuries due to freezing as well. our objective of this study is employing trigonometric and pattern recognition (k-nn) approaches to evaluate their potential in prediction of hourly tempe...