Results 41 to 50 of about 40,557 (254)

WEARCON: wearable home monitoring in children with asthma reveals a strong association with hospital based assessment of asthma control

BMC Medical Informatics and Decision Making, 2020
Background Asthma is one of the most common chronic diseases in childhood. Regular follow-up of physiological parameters in the home setting, in relation to asthma symptoms, can provide complementary quantitative insights into the dynamics of the asthma ...
M. R. van der Kamp, E. C. Klaver, B. J. Thio, J. M. M. Driessen, F. H. C. de Jongh, M. Tabak, J. van der Palen, H. J. Hermens   +7 more
doaj   +1 more source

Background risk model in presence of heavy tails under dependence

Nonlinear Analysis
In this paper, we examine two problems on applied probability, which are directly connected with the dependence in presence of heavy tails. The first problem is related to max-sum equivalence of the randomly weighted sums in bivariate setup. Introducing
Dimitrios G. Konstantinides, Charalampos D. Passalidis   +1 more
doaj   +1 more source

Skorokhod M1 convergence of maxima of multivariate linear processes with heavy-tailed innovations and random coefficients

Modern Stochastics: Theory and Applications
In this paper, functional convergence is derived for the partial maxima stochastic processes of multivariate linear processes with weakly dependent heavy-tailed innovations and random coefficients. The convergence takes place in the space of ${\mathbb{R}^
Danijel Krizmanić
doaj   +1 more source

Quantitative Genetic Modeling of the Parental Care Hypothesis for the Evolution of Endothermy

Frontiers in Physiology, 2017
There are two heuristic explanations proposed for the evolution of endothermy in vertebrates: a correlated response to selection for stable body temperatures, or as a correlated response to increased activity.
Leonardo D. Bacigalupe, Allen J. Moore, Roberto F. Nespolo, Enrico L. Rezende, Enrico L. Rezende, Francisco Bozinovic   +5 more
doaj   +1 more source

Time series modeling and forecasting of a highly regulated riverine system: implications for fisheries management

California Fish and Wildlife Journal, 2020
Here we apply seasonal time series modeling to flow and fisheries management in a highly regulated river system. Time series modeling is commonly employed to forecast future values of streamflow and extrinsic climate-related seasonal data based on ...
Robert M. Sullivan, John P. Hileman
doaj   +1 more source

Hypertriglyceridaemia in extremely preterm infants receiving parenteral lipid emulsions

BMC Pediatrics, 2018
Background Lipid emulsions (LE) are routinely administered as part of parenteral nutrition in neonates. There is a wide variation in clinical practice of plasma triglyceride monitoring during LE therapy.
Ruth Sinclair, Tim Schindler, Kei Lui, Srinivas Bolisetty   +3 more
doaj   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

The emerging dental workforce: why dentistry? A quantitative study of final year dental students' views on their professional career

BMC Oral Health, 2007
Background Dental graduates are joining a profession experiencing changes in systems of care, funding and skill mix. Research into the motivation and expectations of the emerging workforce is vital to inform professional and policy decisions.
Wilson Nairn HF, Donaldson Nora, Patel Resmi, Gallagher Jennifer E   +3 more
doaj   +1 more source

Graph-Fused Multivariate Regression via Total Variation Regularization

, 2020
In this paper, we propose the Graph-Fused Multivariate Regression (GFMR) via Total Variation regularization, a novel method for estimating the association between a one-dimensional or multidimensional array outcome and scalar predictors. While we were motivated by data from neuroimaging and physical activity tracking, the methodology is designed and ...
Liu, Ying, Yan, Bowei, Merikangas, Kathleen, Shou, Haochang   +3 more
openaire   +2 more sources