Results 151 to 160 of about 26,568 (218)

Cortical Cholinergic Pathway Degeneration Reflects Cognitive Impairment and Dementia in Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Cognitive impairment is a prevalent and debilitating feature of Parkinson's disease (PD). Increasing evidence from postmortem and in vivo positron emission tomography imaging studies supports cholinergic dysfunction in PD. There is, however, little evidence regarding the influence of the structural integrity of cortical cholinergic ...
Nicola M. Slater   +13 more
wiley   +1 more source

Machine Learning‐Assisted Prediction and Analysis of Viscosity and Fusion Characteristics for Coal and Biomass Ash

open access: yesMaterials Genome Engineering Advances, EarlyView.
This study develops a machine learning framework for predicting the flow temperature and viscosity of coal and biomass ash with CatBoost and LightGBM as the optimal models. Feature analysis revealed composition‐property mechanisms, and symbolic regression was further applied to derive empirical formulas for rapid and accurate prediction.
Gangcheng Wang   +7 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés   +2 more
wiley   +1 more source

Accelerated MR Elastography Using Learned Neural Network Representation

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a deep‐learning method for achieving fast high‐resolution MR elastography from highly undersampled data without the need for high‐quality training datasets. Methods We first reframed the deep neural network representation as a nonlinear extension of the linear subspace model, then used it to represent and reconstruct MRE ...
Xi Peng
wiley   +1 more source

Characterising fine‐scale habitat associations for range expanding species with limited data: a case study on the West Nile Virus vector, Culex modestus

open access: yesOikos, EarlyView.
The ecological and epidemiological consequences of species expanding into new areas are growing concomitantly with climate change. Those aiming to monitor species expanding in range must make optimal use of finite resources to deliver effective surveillance capable of detecting new incursions and range expansions.
Susanna Cant   +9 more
wiley   +1 more source

Asymmetric transferability of trait–environment relationships between native and exotic plant species in Singaporean forests differing in land‐use history

open access: yesOikos, EarlyView.
Functional traits allow ecologists to synthesise general rules of community assembly. In joint species distribution modelling, traits are increasingly used to explain species–environment relationships, with the intention of being able to generalise predictions to other species in other systems.
Hao Ran Lai   +4 more
wiley   +1 more source

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