Results 71 to 80 of about 25,247 (168)
Validation procedures in radiological diagnostic models. Neural network and logistic regression [PDF]
The objective of this paper is to compare the performance of two predictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods.
Estanislao Arana +2 more
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Journal of Zoology, EarlyView.GPS‐tracked yellow‐legged gulls from urban (Porto) and natural (Berlenga) colonies showed contrasting foraging strategies. Urban gulls remained near cities and followed human routines, while natural gulls foraged farther and used marine habitats. Abstract Urbanisation has led to increased populations of opportunistic species like gulls, driven by the ...
R. R. Fernandes +7 more
wiley +1 more source
Sociological Inquiry, EarlyView.Calls to limit immigration are fueled by the belief immigration threatens individual and collective welfare, yet studies on support for restrictionism remain equivocal on this relationship. We explore this relationship and contribute to existing research by measuring group threat as a latent construct based on Blumer's (1958:3) definition of it as an ...
Lynn Hempel, Noel Strapko
wiley +1 more source
Climate Change Risks and Climate Adaptation in Agro‐Processing Enterprises
Climate Resilience and Sustainability, Volume 5, Issue 1, June 2026.Due to its profit‐driven focus, agro‐processing participation had no significant effect on climate change adaptation. Education emerged as a key driver, positively influencing participation and adaptation behaviours. The study recommends integrating climate strategies into training programs and prioritising education to enhance resilience.
Adrino Mazenda +3 more
wiley +1 more source
Subgroup Identification via Multiple Change Point Detection: Methods and Applications
WIREs Computational Statistics, Volume 18, Issue 2, June 2026.Subgroup identification methods facilitate the discovery of clinically meaningful subpopulations with differing disease progression, improving personalized risk assessment and treatment strategies. ABSTRACT Subgroup identification is a significant research area in statistics and machine learning, aiming to partition a heterogeneous population into more
Yaguang Li +3 more
wiley +1 more source
Informed Dictionary‐Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2947-2962, May 2026.ABSTRACT Purpose To develop a robust and efficient multidimensional MRI (MD‐MRI) data processing framework for accurately estimating joint frequency‐dependent diffusion‐relaxation distributions, while overcoming computational limitations and noise instability inherent to Monte Carlo (MC) inversion.
Joon Sik Park +3 more
wiley +1 more source
Determining the Environmental Drivers of Greenshell Mussel (Perna canaliculus) Spat Settlement
Aquaculture, Fish and Fisheries, Volume 6, Issue 2, April 2026.ABSTRACT Globally, mussel aquaculture production is often constrained by a limited supply of spat, the juvenile stage of mussels, used to initiate production. In some instances, the harvesting of wild spat on spat‐collection ropes has the potential to quickly solve this acute shortage. However, the settlement of mussel spat on collectors is known to be
Kayleb Himiona +2 more
wiley +1 more source
Testing for Sufficient Follow‐Up in Survival Data With a Cure Fraction
Biometrical Journal, Volume 68, Issue 2, April 2026.ABSTRACT In order to estimate the proportion of “immune” or “cured” subjects who will never experience failure, a sufficiently long follow‐up period is required. Several statistical tests have been proposed in the literature for assessing the assumption of sufficient follow‐up, meaning that the study duration is longer than the support of the survival ...
Tsz Pang Yuen, Eni Musta
wiley +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
Journal of Forecasting, Volume 45, Issue 3, Page 1261-1291, April 2026.ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
MedComm, Volume 7, Issue 4, April 2026.Gal‐3 apheresis reduces neutrophil hyperactivation (CXCL2/CXCL8, MPO, NETs), preserves endothelial barrier function (tight junctions, vWF/VCAM‐1/ICAM‐1), and attenuates PI3K/AKT/HIF‐1α signaling. These coordinated effects significantly improve hemodynamics, reduce pulmonary edema (ELWI), lower vasopressor and fluid requirements, and increase survival ...
Zhongyi Sun +7 more
wiley +1 more source