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Open Access. I dati del nostro ateneo.

È disponibile la nuova Policy di Ateneo sulla Scienza Aperta, approvata dal Senato Accademico il 7 dicembre 2022.

È disponibile la Relazione quinquennale sull'attuazione dei principi della Scienza Aperta nell'Università di Trento (2015-2020).

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Well-being in intensive care: reflections from a multinational survey

Background: Intensive care unit (ICU) professionals face high levels of stress, burnout, and work-related psychological strain. However, comprehensive multinational assessments of their well-being-particularly those exploring gender differences and work-life dynamics-are scarce. Methods: A cross-sectional survey was conducted by the International Women in Intensive and Critical Care Network (iWIN) between October 2023 and June 2024. The 113-item questionnaire assessed well-being using the WHO...

Clinical applications of oXiris membranes: Targeting inflammation and renal dysfunction in ICU patients

The oXiris membrane represents a notable advance in continuous renal replacement therapy for critically ill patients with severe infection, sepsis, and other conditions characterized by immune dysregulation. Built on a highly adsorptive poly (ethersulfone)/AN69 platform modified to remove inflammatory mediators, endotoxins, and larger molecules, oXiris combines renal support with targeted immunomodulation. In intensive care settings it has been used for sepsis and septic shock, intra-abdomi...

The effect of delays in cancer surgery due to the COVID-19 pandemic on cancer resectability and postoperative mortality in different tumor entities

Background: During the COVID-19 pandemic, prioritization of COVID-19 patients led to delays in oncological surgery, potentially impacting patient outcomes. This analysis examines the effects of surgical delays in various tumor entities on resectability and postoperative mortality. Methods: Data from the COVIDSurg Cancer Collaborative, an international prospective cohort study with 19,676 patients, collected between March 26, 2020, and September 16, 2020, were analyzed. Postoperative mortality...

Unknown Appliance Detection for Non-Intrusive Load Monitoring Using Normalized k-Nearest Neighbors

Non-intrusive load monitoring (NILM) aims to decompose the aggregated power consumption profiles into those of individual appliances, offering significant potential to enhance energy efficiency. In recent years, machine learning-based load recognition methods have successfully addressed closed-set recognition problems, where training and testing data are drawn from the same known classes. Real-world deployments, however, require open-set recognition: models must cope with unknown or unseen ap...

Using Pairwise Comparisons to Estimate Mass Assignments in Evidence Theory

Evidence Theory (a.k.a. Dempster-Shafer theory) offers a quite general and powerful setting to reason under uncertainty. However, most of the approaches allowing one to instantiate mass functions, the basic building block of the theory, rely on measured, objective data, and there are very few approaches to instantiate them from subjective, expert opinions. Here we suggest a viable solution, based on the concept of pairwise comparisons, for the elicitation of such subjective information. The a...

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Benvenuti in IRIS

Open Access. I dati del nostro ateneo.

È disponibile la nuova Policy di Ateneo sulla Scienza Aperta, approvata dal Senato Accademico il 7 dicembre 2022.

È disponibile la Relazione quinquennale sull'attuazione dei principi della Scienza Aperta nell'Università di Trento (2015-2020).

Pubblicazioni recenti

Well-being in intensive care: reflections from a multinational survey

Clinical applications of oXiris membranes: Targeting inflammation and renal dysfunction in ICU patients

The effect of delays in cancer surgery due to the COVID-19 pandemic on cancer resectability and postoperative mortality in different tumor entities

Unknown Appliance Detection for Non-Intrusive Load Monitoring Using Normalized k-Nearest Neighbors

Using Pairwise Comparisons to Estimate Mass Assignments in Evidence Theory

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