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Research has shown that drivers function in a state of current and immediate knowledge of the driving environment.
The strategy, which doesn't require a priori knowledge of the driving trip, is then compared with several well-known strategies, e.g. charge depleting and charge-sustaining (CDCS), Blended, dynamic programming (DP), and Pontryagin's Minimum Principle (PMP).
Such an algorithm has the drawback that the optimal solution can only be reached offline, depending on the a-priori knowledge of the driving event, making it unsuitable to be implemented online, as it is.
Some of the current problems with power management strategies are: fuel efficiency optimization methods require prior knowledge of the driving cycle before they can be implemented, the impact on the fuel cell and battery life cycle are not considered and finally, there are no standardized measures to evaluate the performance of different control methods.
The proposed work will present a different optimization approach that uses fuel mass flow rate instead of fuel mass consumption as the cost function and thus, it can be done instantaneously and does not require knowledge of the driving cycle ahead of time.
Knowledge of the driving factors of small mammal communities in agricultural landscapes may enable taking management measures that pursue both conservation and economic goals.
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From the perspective of the knowledge spectrum, the driving forces of Health Informatics and RCT methodology seem to have opposite directions: while Informatics aims towards individual knowledge and personalized health care, the general knowledge gained through populational studies (e.g., RCTs) targets the ideal of universal applicability.
CD4 T helper (Th) cell differentiation defined by in vitro cytokine-directed culture systems leaves major gaps in our knowledge of the mechanisms driving divergent Th differentiation.
There is need, therefore, for continuous efforts directed toward the development of novel rational-based therapeutics for MM, which requires a detailed knowledge of the mutations driving this malignancy.
As Bergemann and Van den Berg (2008) suggest in their recent survey of the literature on the effects of the active labor market programs (ALMPs) for women in Europe, an impact evaluation analysis is of primary importance if we want to deepen our knowledge of the forces driving gender differences in participation rates and income levels.
Presently, the lack of knowledge of the mechanisms driving stem cell protective action is a major obstacle to the advancement of cell replacement strategies in stroke research.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com