the efficiency measurement is a subject of great interest. the majority of studies on dea models have been carried out using radial or non-radial approaches regarding the application of dea for the efficiency measurement. this paper, based on the directional distance function, proposes a new generalized hybrid measure of efficiency under generalized returns to scale with the existence of both r...

background and aim: approaches to professional health care have changed along with changes in health measures and progression of chronic diseases. patient participation is an international golden standard in new nursing paradigm. despite the importance of patient participation and its routine usage in professional care, this concept is not clear, especially in social and cultural context of ira...

a bstra ct     background: patients’ compliance to treatment is an important indicator for evaluating the successful management in chronic illnesses. despite the fact an applicable definition of compliance is required to suitable intervention and research, this concept is not clear and there is no consensus concerning its meaning, definition, and measurement. the aim of this study was to explor...

in this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the shabestar plain, iran. after initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (ga-bp) should be able to reproduce groundwater ...

The model of financial risk prediction we developed and present in our paper is based on the theoretical assumption that there exists a significant relationship between actual economic situation values. This confirmed by research influences potential behaviour it becomes especially case changing life conditions. concept data received from 3768 respondents questioned across Czech Republic. Measu...

In order to obtain an adequate description of risk aversion for insuring critical path problem, this paper develops a new class of two-stage minimum risk problems. The first-stage objective function is to minimize the probability of total costs exceeding a predetermined threshold value, while the secondstage objective function is to maximize the insured task durations. For general task duration...

This paper presents the ability of hybrid zero dynamics (HZD) feedback control method to reproduce human like movements for walking push recovery of an under-actuated 3D biped model. The balance recovery controller is implemented on a three-dimensional under-actuated bipedal model subjected to a push disturbance. The biped robot model is considered as a hybrid system with eight degrees of freed...

We present an industrial case study in automotive control of significant complexity: the new common rail fuel injection system for Diesel engines, currently under production by Magneti Marelli Powertrain. In this system, a flow–rate valve, introduced before the High Pressure (HP) pump, regulates the fuel flow that supplies the common rail according to the engine operating point. The standard ap...

In this paper, we present reasoning techniques for a component-based modeling and verification approach for hybrid systems comprising discrete dynamics as well as continuous dynamics, in which the components have local responsibilities. Our approach supports component contracts (i. e., input assumptions and output guarantees of interfaces) that are more general than previous component-based hyb...

this paper presents a hybrid approach to developing a short-term traffic flow prediction model. in thisapproach a primary model is synthesized based on neural networks and then the model structure is optimized throughgenetic algorithm. the proposed approach is applied to a rural highway, ghazvin-rasht road in iran. the obtainedresults are acceptable and indicate that the proposed approach can i...