This whitepaper explores the role of process analytical technology (PAT) in enhancing the efficiency of upstream ...

This project is part of the Quality Data Analysis course at Politecnico di Milano. The primary objective is to design and evaluate statistical methods for detecting defects in 3D-printed Voronoi ...

To complete the above system, the author’s main research work includes: 1) Office document automation based on python-docx. 2) Use the Django framework to develop the website.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Early sexual activity, often defined as initiation before 16, is a risky behaviour associated with many negative social and health outcomes. Sexual norms restricting sex till marriage have declined in ...

Background Intraocular pressure (IOP) exhibits significant fluctuations in response to changes in body posture. Postural modification may serve as a potential adjunctive strategy for IOP management in ...

Background Post-infection disorders of gut-brain interaction (PI-DGBI) are a subset of chronic gastrointestinal disorders triggered by acute infectious gastroenteritis. These conditions impose a ...

Insufficient physical activity (PA) among children has become a major global public health concern. The family environment ...

Objectives This study examined discharge outcomes and their predictors among patients enrolled in remote patient monitoring (RPM) support in Ontario, Canada. Design A 6-month competing risk survival ...

Abstract: The existence of a typical industrial controller, e.g. a PI controller, in a closed-loop process environment generally does not guarantee that the system output is kept at the target level ...

Objectives Maternal dietary practices are vital for improving maternal and neonatal outcomes. However, comprehensive ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...