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This paper proposes state-dependent stochastic models (SDSMs) for modeling the impact of deterioration on the performance of engineering systems.
Once the time-variant system state variables are modeled, proper capacity and demand models that take them as inputs can be adopted to fully capture the impact of deterioration processes on the capacity, demand, and other system performances.
However, an entire generation of children has suffered the impact of deterioration of basic services and increased poverty.
This is highly relevant because of the possible impact of deterioration on development of oral disease, effect on quality of life and well-being and risk of HCAI.
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Accordingly, Hsu et al. (2010) first investigated the impact of deteriorating inventory with a constant deterioration rate, time-dependent partial backorders and preservation technology investment.
Taken together, the evidence suggests that admission to a critical care unit (CCU) is associated with deterioration of oral health and that the impact of this deterioration is potentially a serious public health concern.
In this experiment we investigated the impact of the deterioration of SNR due to increase in gain voltage on the accuracy of estimated optical properties.
The impact of such deterioration could increase the risk of oral disease, reduce quality of life and increase the potential for healthcare-associated infections (HCAI) such as healthcare-associated pneumonia (HAP).
The net impact of genetic deterioration processes on extinction may be strongly variable among and within species, since it strongly depends on the ecological conditions faced by metapopulations (although it is clear that some variation in other factors such as mating systems, life history traits, dispersal pattern or demographic history, will further increase this variability).
This paper quantitatively reviews the impacts of this deterioration on the whole building performance.
Possessing a better knowledge of the impacts of engine deterioration upon an aircraft's performance as well as its fuel and component life usage, helps the users make wiser management decisions and hence achieve improved engine utilization.
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