215 resultados para back-tracking deployment (BTD)


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We examine problems resulting from the narrow empirical focus associated with evidence-based nursing, including the deleterious influence of vested interests, disattention to patients’ experiences, underestimation of the importance of social processes, lack of an individualized research perspective, marginalization of other forms of knowledge, and the undermining of patients’ autonomy. Addressing each problem in turn, we argue that inclusion of patients at all stages of evidence-based practice can counter or ameliorate these problems. While we concede that patient involvement is not a complete solution to the problem of empiricism, it is the most effective means available to defend nursing values.

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Clock-shifted homing pigeons were tracked from familiar sites 17.1km and 23.5 km from the home loft in Pisa, Italy, using an on-board route recorder. At the first release site, north of home, the majority of clock-shifted birds had relatively straight tracks comparable with those of control birds, At the second release site, south of home, the clock-shifted birds deflected in the direction predicted for the degree of clock shift, with many birds travelling some distance in the wrong direction before correcting their course. The possible role of large-scale terrain features in homing pigeon navigation is discussed.

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Clock-shifted homing pigeons (Rock Dove Columba livia) were tracked from familiar release sites using a direction recorder. At relatively short distances from the home loft (

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This paper presents a new method for tracking Thévenin equivalent parameters for a power system at a node using local Phasor Measurement Unit (PMU) measurements. Three consecutive phasor measurements for voltage and current, recorded at one location, are used. The phase drifts caused by the measurement slip frequency are first determined and phase angles of the measured phasors are corrected so that the corrected phasors are synchronized to the same reference. The synchronized phasors are then used to determine the equivalent Thévenin parameters of the system.

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In remanufacturing, the supply of used products and the demand for remanufactured products are usually mismatched because of the great uncertainties on both sides. In this paper, we propose a dynamic pricing policy to balance this uncertain supply and demand. Specifically, we study a remanufacturer’s problem of pricing a single class of cores with random price-dependent returns and random demand for the remanufactured products with backlogs. We model this pricing task as a continuous-time Markov decision process, which addresses both the finite and infinite horizon problems, and provide managerial insights by analyzing the structural properties of the optimal policy. We then use several computational examples to illustrate the impacts of particular system parameters on pricing policy.

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