Results 91 to 100 of about 2,125,197 (256)
Hyperbranched polymers for in vivo multimodal molecular imaging [PDF]
For the development of the next generation of polymeric nanomedicines, it is crucial to gain a fundamental understanding of their behaviour and interactions with and within biological systems.
Boase, Nathan R.B., Boase, Nathan
core +2 more sources
Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki +6 more
wiley +1 more source
Mass spectrometry imaging (MSI) is a technique for mapping the spatial distributions of molecules in sectioned tissue. Histology-preserving tissue preparation methods are central to successful MSI studies. Common fixation methods, used to preserve tissue
Alison J. Scott +4 more
doaj +1 more source
Sensitivity of restriction spectrum imaging to memory and neuropathology in Alzheimer’s disease
Background Diffusion imaging has demonstrated sensitivity to structural brain changes in Alzheimer’s disease (AD). However, there remains a need for a more complete characterization of microstructural alterations occurring at the earliest disease stages,
Emilie T. Reas +13 more
doaj +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Multimodal Imaging of Optic Disc Drusen
Current recommendation for diagnosis of ODD is enhanced-depth imaging optical coherence tomography (EDI-OCT), but this imaging modality is not always available, and acquisition and review of serial B-scans are time-intensive.
Yan Yan; Cassie Ludwig; Yaping Liao
core
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Transient and selective effects of acute exercise intensity on response inhibition: an EEG study
Acute aerobic exercise can transiently influence cognitive control, but how exercise intensity and recovery timing shape response inhibition and its neural correlates remains insufficiently understood.
Masaki Takayose +5 more
doaj +1 more source

