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https://doi.org/10.1057/9780230100879 that can eventually contribute to explain the different behaviour of the pandemic within the same country. To do this, we have considered demographic, healthcare, and political data at regional level and we have tried going to the root of interactions among them. In this way, we obtained a model of

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Peter Kühne,Hermann Schäfers have revealed that such training is inadequate for the myriad academic roles faculty members engage in or for the variety of institution types in which newly minted PhDs earn faculty appointments. The focus of this chapter is on the socialization of early career faculty members in liberal arts col

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Talayeh Aledavood,Eduardo López,Sam G. B. Roberts,Felix Reed-Tsochas,Esteban Moro,Robin I. M. Dunbar,Jari Saramäkined promising results in this domain with their effectiveness in learning feature representation. Both local and global features are crucial for medical image classification tasks, particularly for 3D medical image data, however, the receptive field of the convolution kernel limits the global featur

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Carlos Hoevelisual representations designed in accordance with how students process information stands to facilitate program comprehension during learning of complex topics, few studies have systematically investigated different modalities of representation grounded in theories of learning. This chapter attempts