INTERPROFESSIONAL ACTIVE LEARNING FOR CHRONIC PAIN: TRANSFORMING STUDENT LEARNING FROM RECALL TO APPLICATION


Topological strings, strips and quivers

Abstract We find a direct relation between quiver representation theory and open topological string theory on a class of toric Calabi-Yau manifolds without compact four-cycles, also referred to as strip geometries.We show that various quantities that characterize open topological string theory on these manifolds, such as partition functions, Gromov

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Recent Advances in Silk Sericin/Calcium Phosphate Biomaterials

Calcium phosphates (CaPs) have been widely used in the field of biomedical engineering as bone graft substitutes or as carriers for drug delivery applications.Recent developments have focused on combining CaPs with proteins to obtain functional biomaterials that accommodate a broader spectrum of functional requirements.Silk sericin was considered a

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Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data

Net surface shortwave radiation (NSSR) is one of the most important fundamental parameters in various land processes.Benefiting from its efficient nonlinear fitting ability, machine learning algorithms have a great potential in the retrieval of NSSR.However, few studies have explored the level of accuracy that machine learning algorithms can reach

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Inpainting large missing regions based on Seam Carving

Inpainting techniques are developed to recover missing image information.Existing inpainting approaches are: Partial Differential Equations Based Inpainting (PDE-BI) and Exemplar-Based Inpainting (EBI).PDE-BI methods used to fill in the missing information via information propagation from neighbouring areas.However, it can only reconstruct successf

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