Prodromal Lewy Body Symptoms and α‐Synuclein Seeding in Idiopathic Olfactory Dysfunction
Abstract Background Early identification of pathological α‐synuclein deposition (αSynD) may improve understanding of Lewy body disorder (LBD) progression and enable timely disease‐modifying treatments. Objectives We investigated αSynD using a seed amplification assay and assessed prodromal LBD symptoms in individuals with idiopathic olfactory ...
Oskar Hoffmann McWilliam +15 more
wiley +1 more source
A simple preprocessing approach for improving semantic segmentation in unsupervised domain adaptation. [PDF]
Ettedgui S, Abu-Hussein S, Giryes R.
europepmc +1 more source
Low Frequency of Dementia with Lewy Bodies Diagnosis in a Colombian Memory Clinic
Abstract Background The global burden of dementia is increasing, particularly in low‐ and middle‐income countries. Dementia with Lewy bodies (DLB) is the second most common neurodegenerative dementia but remains underreported and frequently misdiagnosed. Its prevalence in Latin America is largely unknown.
Felipe Botero‐Rodríguez +6 more
wiley +1 more source
Insights of semantic segmentation using the DeepLab architecture for autonomous driving. [PDF]
Subhedar J, Bachute MR.
europepmc +1 more source
Abstract Background Apathy is a common early symptom of Parkinson's disease (PD), often co‐occurring with cognitive decline and associated with fronto‐striatal and mesocortico‐limbic dysfunctions. Discrepancies between self‐ and caregiver‐reported apathy have been preliminarily associated with cognitive impairments affecting patients’ awareness and ...
Giulia Funghi +13 more
wiley +1 more source
SideCow-VSS: A Video Semantic Segmentation Dataset and Benchmark for Intelligent Monitoring of Dairy Cows Health in Smart Ranch Environments. [PDF]
Yao L +6 more
europepmc +1 more source
Semantic Segmentation Benchmark Dataset for Homogeneous Historical Map Corpora
Arzoumanidis, Lukas +6 more
openalex +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
An Improved Segformer for Semantic Segmentation of UAV-Based Mine Restoration Scenes. [PDF]
Wang F +5 more
europepmc +1 more source
Attribute Implication Bases From Galois Connection Structures
ABSTRACT Modeling knowledge systems by determining relationships among key variables have been and currently is a fundamental and nontrivial challenge in real‐world scenarios. Many approaches have been developed to reach this goal, but many of them are heuristic and require of alternative procedures to provide robust and tractable rules.
M. Eugenia Cornejo +2 more
wiley +1 more source

