Results 21 to 30 of about 89 (73)

Exploring the Relationship Between Inflammatory Biomarkers and Negative Symptoms Subtypes in Individuals at Ultra‐High Risk for Psychosis

open access: yesEarly Intervention in Psychiatry, Volume 20, Issue 7, July 2026.
ABSTRACT Aims Negative symptoms are a core component of schizophrenia, affecting up to 60% of individuals with the disorder. They are categorised into primary negative symptoms (PNS), which are intrinsic to the illness, and secondary negative symptoms, which arise from external factors such as depression or medication side effects.
Dulari Hakamuwa Lekamlage   +31 more
wiley   +1 more source

Improved Multiscale Structural Mapping with Supervertex Vision Transformer for the Detection of Alzheimer's Disease Neurodegeneration

open access: yesHuman Brain Mapping, Volume 47, Issue 8, June 1, 2026.
We propose MSSM+, an extension of multiscale structural mapping (MSSM), together with surface supervertex mapping (SSVM) and a Supervertex Vision Transformer (SV‐ViT). Together, these methods exhibited better performance in detecting Alzheimer's disease and less variability across MR vendors than MSSM.
Geonwoo Baek   +3 more
wiley   +1 more source

Gram Decay and Intrinsic Dimensions of Krylov Subspaces

open access: yesNumerical Linear Algebra with Applications, Volume 33, Issue 3, June 2026.
ABSTRACT Krylov subspace methods solve large sparse linear systems Ax=b$$ Ax=b $$ by building a sequence of polynomial approximations to A−1b$$ {A}^{-1}b $$ from successive matrix‐vector products. In finite precision, the number of numerically independent directions that can be extracted from this sequence is bounded by the intrinsic information ...
Stephen J. Thomas
wiley   +1 more source

Neural Network Repair With Shapley‐Guided Search

open access: yesCAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 816-834, June 2026.
ABSTRACT The deployment of deep neural networks (DNNs) in safety‐critical domains is critically hampered by their vulnerability to defects, which can arise from malicious attacks or low‐quality data. Therefore, precisely locating the network components responsible for these defects, and subsequently repairing them without compromising overall model ...
Xiaofu Du   +4 more
wiley   +1 more source

Enhancing Artificial Neural Network Performance for Wildfire Susceptibility Mapping Using Bernstein‐Levy and Multi‐Population Differential Evolution Algorithms

open access: yesTransactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Wildfire susceptibility mapping (WSM) is critical for forest management, land‐use planning, and disaster risk mitigation. Although hybrid artificial neural network (ANN) models optimized by metaheuristic algorithms are increasingly used in susceptibility mapping, they are often evaluated without strong machine learning benchmarks, spatially ...
Talha Taşkanat
wiley   +1 more source

Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 5, Page 1151-1298, May 2026.
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley   +1 more source

Sugar provisioning increases parasitoid numbers in agroecosystems but may not reduce pest densities: A meta‐analysis

open access: yesJournal of Applied Ecology, Volume 63, Issue 5, May 2026.
Our findings demonstrate that providing sugar sources reliably supports parasitoid populations and parasitism rate but does not systematically translate into improved pest suppression or yield gains. These results suggest that, for economic and practical reasons, sugar inputs at the edge of cultivated fields should be favoured.
Martin Luquet   +3 more
wiley   +1 more source

The joint survival super learner: A super learner for right‐censored data

open access: yesStatistica Neerlandica, Volume 80, Issue 2, May 2026.
ABSTRACT Risk prediction models are widely used to guide real‐world decision‐making in areas such as healthcare and economics, and they also play a key role in estimating nuisance parameters in semiparametric inference. The super learner is a machine learning framework that combines a library of prediction algorithms into a meta‐learner using cross ...
Anders Munch, Thomas A. Gerds
wiley   +1 more source

Preliminary Findings on School Refusal Outcomes in Children and Adolescents Following 1‐Year Psychiatric Outpatient Treatment

open access: yesEarly Intervention in Psychiatry, Volume 20, Issue 3, March 2026.
ABSTRACT Introduction School refusal affects many children and adolescents receiving psychiatric care; however, predictors of new‐onset refusal and successful return during treatment remain unclear. This retrospective cohort study identified factors associated with (1) developing school refusal among initially attending patients and (2) returning to ...
Yoshinori Sasaki   +10 more
wiley   +1 more source

Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation

open access: yesAdvanced Physics Research, Volume 5, Issue 2, February 2026.
Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
wiley   +1 more source

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