Industrial University of Santander

Inflammatory Signatures from the Complete Blood Count and In-Hospital Mortality in Acute Myocardial Infarction

Background/Objectives: Early risk stratification in acute myocardial infarction (AMI) requires accessible and cost-effective tools. Complete blood count-derived inflammatory indices may provide readily available markers of immunothrombotic activity. The objective of this study wa...

The graded structure of Leavitt path algebras viewed as partial skew group rings

Abstract Let E be a directed graph, $$\mathbb {K}$$ K be a field, and $$\mathbb {F}$$ F be the free group on the edges of E . In this work, we use the isomorphism between Leavitt path algebras and partial skew group rings to endow $$L_\mathbb {K}(E)$$ L K ( E ) with an $$\mathbb...

Twisted Steinberg algebras, regular inclusions and induction

Given a field \mathbb{K} and an ample (not necessarily Hausdorff) groupoid G , we define the concept of a line bundle over G inspired by the well-known concept from the theory of C*-algebras. If E is such a line bundle, we construct the associated twisted Steinberg algebra in ter...

Electroantennographic and Behavioral Evidence Identifies Carvone and IR3535 as Biting Deterrents Against Rhodnius prolixus (Stål, 1872)

Electroantennography (EAG) is a valuable approach for monitoring insect antennal responses to insecticidal and test compounds and may provide a preliminary screening method for identifying compounds with potential activity against medically important insect vectors. The objective...

Comparative benchmark of machine learning models for predicting perovskite solar cell performance

This study presents a systematic comparative evaluation of five machine learning models, namely Random Forest (RF), Extreme Gradient Boosting (XGB), Artificial Neural Network (ANN), Multilayer Perceptron (MLP), and Support Vector Machine (SVM), for predicting the electrical perfo...

Diagnostic accuracy of artificial intelligence for fracture detection on radiography and computed tomography: A systematic review and meta-analysis of externally validated clinician-comparative studies

Objectives: This systematic review evaluated externally validated, clinician-comparative studies of artificial intelligence (AI)-based fracture detection on conventional radiography and computed tomography (CT) and summarized diagnostic performance by imaging modality. Material a...

Exploratory serum mass spectral fingerprinting and machine learning for case-control classification of preeclampsia

Preeclampsia is a pregnancy-specific hypertensive disorder associated with maternal and perinatal morbidity and mortality and can increase the risk of vascular diseases after pregnancy. However, a timely and unequivocal diagnosis in the first weeks allows access to appropriate me...