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Directed energy deposition (DED) with laser powder-feed is an additive manufacturing process that is used to produce metallic components by simultaneously providing a supply of energy from a laser and mass from a powder aerosol. The breadth of alloys used in DED is currently limited to a very small range as compared to wrought or cast alloys. The purpose of this paper is to develop the new alloys for DED is limited because current models to predict operational processing parameters are computationally expensive and trial-and-error based experiments are both expensive and time-consuming.

In this research, an agile DED model is presented to predict the geometry produced by a single layer deposit.

The utility of the model is demonstrated for type 304 L stainless steel and the significance of the predicted deposition regimes is discussed. The proposed model incorporates concepts from heat transfer, welding and laser cladding; and integrates them with experimental fits and physical models that are relevant to DED.

The utility of the model is demonstrated for type 304 L stainless steel and the significance of the predicted deposition regimes is discussed.

As health care delivery becomes increasingly focused on patient-centered models, interventions such as patient navigation that have the potential to improve care coordination garner interest from health care managers and clinicians. The ability to understand how and to what extent patient navigation is successful in addressing coordination issues, however, is hampered by multiple definitions, vague boundaries, and different contextual implementations of patient navigation. Using a systematic review strategy and classification method, we review both the conceptual and empirical literature regarding navigation in multiple clinical contexts. We then describe and conceptualize variation in how patient navigation has been defined, implemented, and theorized to affect outcomes. This review suggests that patient navigation varies along multiple dimensions and that the variation is related to differing resources, constraints, and goals. We propose a conceptual model to frame further research and suggest that research in this area must carefully account for this variation in order to accurately assess the benefits of patient navigation and provide actionable knowledge for managers.