HydroAir: An Air-Propelled Surface Vehicle for Autonomous Navigation and 3D Reconstruction in Shallow and Obstacle-Rich Aquatic Environments. [PDF]
Honório LM +5 more
europepmc +1 more source
“It's Okay, Everyone Else Is Doing It”: Moral Disengagement and Peer Delinquency
ABSTRACT Introduction Adolescence is a developmental period during which moral cognition and peer environments change in ways that shape trajectories of antisocial behavior into adulthood. Although moral disengagement (MD) and peer delinquency (PD) are established risk factors for persistent offending, they are typically studied in isolation.
Romain Decrop, Michael McCart
wiley +1 more source
Linking External Variables to the Prediction of Anxiety and Suicide Attempt Cases. [PDF]
Rosa-Remedios C +3 more
europepmc +1 more source
Sense of Coherence in the Perinatal Period: A Longitudinal Growth Mixture Modeling Analysis
ABSTRACT Objectives Previous studies have established that higher Sense of Coherence (SoC) predicts lower pregnancy‐specific distress, fewer delivery complications, and increased birth satisfaction. However, less is known about how SoC typically changes over pregnancy, birth, and postnatally and the risk factors and protective factors contributing to ...
Kelsey Perrykkad +4 more
wiley +1 more source
Measurement-Based Optimization of a Lightweight Upper-Extremity Rehabilitation Exoskeleton for Task-Oriented Treatment. [PDF]
Falkowski P +8 more
europepmc +1 more source
Abstract BACKROUND The pseudo‐fruit of Rosa canina L. is a rich source of bioactive compounds with antioxidant, anti‐inflammatory, anti‐cancer, anti‐diabetic, anti‐aging, and antimicrobial activities. The aim of the present study is the optimization of a green process based on the action of two hydrolytic enzyme preparations, namely Pectinex® Ultra ...
Zafeiria Lemoni +6 more
wiley +1 more source
Review of GPU-based Monte Carlo simulation platforms for transmission and emission tomography in medicine. [PDF]
Chi Y, Schubert K, Badal A, Roncali E.
europepmc +1 more source
Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He +11 more
wiley +1 more source
A quantum-mechanical framework for million-atom scale biological systems. [PDF]
Wieners L, Garcia ME.
europepmc +1 more source
ABSTRACT Background The demand for cardiac MRI is increasing with the growing burden of cardiovascular disease. However, conventional protocols require sequential acquisitions for multi‐breath‐hold 2D cine and 3D MR angiography (MRA), which is time‐consuming.
Ruixin Chen +7 more
wiley +1 more source

