1,557 research outputs found
Ethics and law on human–animal relationship
No full textThis essay aims to describe, in its essential lines, the nationaland community regulatory framework that regulates animals in biomedical experimentation. Methodological means will be provided to understand the legal problems and moral dilemmas under which
they are justified by arguments for or against animal testing. The principles of the 3R will be studied in depth. They represent the backbone of the legal architecture on the basis of which to correctly interpret the normative documents on animal testing. In particular, the main proposal of this essay is the legal description of the three pillars of the 3R - replacement, reduction and refinement - and of their different definitions, starting from the original definition of Russell and Burch up to the current definitions drawn up by the guidelines and self-regulation codes of the bioethics committees
Statistical Methods for Complex Biological and Clinical Data
No full textL'abstract è presente nell'allegato / the abstract is in the attachmen
Politiche per lo sviluppo territoriale in Italia
No full textThe paper analyzes the necessary requirements for successful territorial policies: organizational suitability, governance, legal system, administrative activity and integration of public policie
A semi-physical model of a hydraulic power steerng system for vehicle synamic simulations
No full textAnalyzing RNA data with scVelo: identifiability issues and a Bayesian implementation
No full textThe analysis of RNA data plays a crucial role in understanding cellular differentiation.
One widely-used methodology for analyzing RNA data is scVelo. However, in this paper, we show that, among other issues of scVelo, the current model formalization suffers from identifiability problems. We propose a Bayesian version of scVelo with modifications that address these issues
Extending Bayesian Modelling of RNA Velocity
No full textThis paper introduces an alternative method for modeling
RNA velocity within the Bayesian framework, employing zero-inflated distributions without the need for artificial preprocessing to handle RNA counts. Through a comparative analysis conducted on a real dataset, we
illustrate the performance of our approach, showcasing outcomes comparable to those achieved with assumptions of Negative Binomial data on preprocessed observations. Our proposed model eliminates the requirement for arbitrary data filtering, thereby demonstrating its effectiveness
in capturing the underlying biological dynamics
David Audretsch: A Source of Inspiration, a Co-author, and a Friend
No full textIn this chapter, Enrico Santarelli discusses the profound impact that David had on his career. Beginning with a conference in Budapest, Santarelli and David bocame close friends and colleagues. They went on to collaborate on many papers and projects, several of which Santarelli highlights below
Dialogo con Enrico Palandri
No full textA conversation with Enrico Palandri aimed at contextualizing his work as an author
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