Publications by authors named "R SCUDERI"

Background: The use of beneficial bacteria like spp. is a potential innovative approach to fight antibiotic-resistant pathogens. is one of the most concerning multi drug-resistant (MDR) pathogens, and its ability to colonize the human gut is considered to be the main reason for recurrent infections in critically ill patients.

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The palatability of feed for dairy cows is an important consideration but is difficult to measure, particularly when considering more than 2 feeds. We outline how a combination of multiverse analysis and Bradley-Terry modeling, 2 methodological tools that have rarely been applied in dairy science, can be adapted to address this problem. Specifically, we propose to apply multiverse analysis as a way to consider a range of thresholds for how much of a mixed grass-legume (MGL) silage had to be consumed (as a percent of the total DMI) to be designated as preferred.

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Many reasons have shaped immigration into the EU over the past decade. Since then, attitudes towards immigration have not only gained public attention but have also shaped political debate and discourse in recent regional, national, and EU elections. The global financial crisis of 2008 increased the importance of migration in the social welfare upheaval in most Member States.

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COVID-19 vaccine hesitancy is a major obstacle in the fight against the pandemic. This study aimed to identify the local determinants of vaccine hesitancy in the context of COVID-19 to better inform future immunization campaigns. The study, conducted in February 2021, included 1,189 randomly selected inhabitants of the canton of Vaud, Switzerland.

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Secukinumab, a fully human monoclonal antibody, neutralizes interleukin-17A, a cornerstone cytokine driving the multiple manifestations of psoriasis. This post-hoc analysis of the SUPREME study was performed to determine the sustainability of response to secukinumab in terms of Psoriasis Area and Severity Index (PASI) 90 in patients with moderate-to-severe plaque psoriasis. Based on PASI 90 response at week 16, patients were stratified as PASI 90 responders (PASI90R, n = 337) or non-responders (PASI90NR, n = 72).

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