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This paper presents a methodology for systematically designing process units LCI database for the optimal design of integrated systems with a life cycle perspective.
A general methodology for systematically studying the input-to-state stability, by means of Liapunov Krasovskii functionals, with respect to measurable and locally essentially bounded inputs, is provided.
This study proposed and demonstrated a methodology for systematically identifying the best configuration or structure of a 4-degree-of-freedom (4DOF) human vibration model and for its parameter identification.
A methodology for systematically identifying active freeway bottlenecks in a metropolitan area is proposed, which relies on two occupancy threshold values and is compared to an established diagnostic method – transformed cumulative count curves.
Quantitative evaluation can lead to developing a methodology for systematically improving biomedical ontologies.
However, there is a lack of data on the proportion of sponsorship associated with "unhealthy" and "healthy" products and no methodology for systematically assessing it.
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In this review, we summarise a methodology for linking systematically these two levels starting from the first-principles density functional theory and proceeding via the screened tight-binding approximation to development of reliable and transferable many-body interatomic bond-order potentials.
Although FCM has been used extensively in knowledge engineering, few methodologies exist for systematically constructing it.
Operational systems to predict potential respiratory health effects of PM plumes from wildland fires are also not in place, in part due to a lack of methodology for rigorously and systematically relating the two.
This paper presents a cell-based flexible actuator modeling methodology and the General Fingerprint Method for systematically and efficiently calculating the actuators' respective dynamic equations of motion.
Specifically, we demonstrate how our methodology can be used for systematically comparing model versions, analysing the sensitivity of the model outputs to the input parameters, and choosing the most reduced version giving outputs matching measured data.
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