TEACHING ORGANIZATIONAL STRUCTURE THROUGH THE CASE METHOD

TEACHING ORGANIZATIONAL STRUCTURE THROUGH THE CASE METHOD

Teaching at university level has evolved in recent years towards teaching methodologies in which the student has an increasingly active Books role in their learning, being the protagonist together with the teaching staff.The use of techniques in which students put into practice and reflect on the theoretical contents has benefits both for the acqui

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Contrastive learning with transformer for adverse endpoint prediction in patients on DAPT post-coronary stent implantation

BackgroundEffective management of dual antiplatelet therapy (DAPT) following drug-eluting stent (DES) implantation is crucial for preventing adverse events.Traditional prognostic tools, such as rule-based methods or Cox regression, despite their widespread use and ease, tend to yield moderate predictive accuracy within predetermined timeframes.This

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Supervised learning and model analysis with compositional data.

Supervised learning, such as regression and classification, is an essential tool for analyzing modern high-throughput sequencing data, for example in microbiome research.However, due to the compositionality and sparsity, existing techniques are often inadequate.Either they rely on extensions of the linear log-contrast model (which adjust for compos

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