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Disordered dielectrics with structural correlations on length scales comparable to visible light wavelengths exhibit interesting optical properties. Such materials exist in nature, leading to beautiful structural non-iridescent color, and they are also increasingly used as building blocks for optical materials and coatings. In this article, we explore the angular resolved single-scattering properties of micron-sized, disordered colloidal assemblies. The aggregates act as structurally colored supraparticles or as building blocks for macroscopic photonic glasses. We obtain first experimental data for the differential scattering and transport cross-section. Based on existing macroscopic models, we develop a theoretical framework to describe the scattering from densely packed colloidal assemblies on a hierarchy of length scales.
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http://dx.doi.org/10.1364/OE.418735 | DOI Listing |
Alpine streams represent some of the most challenging yet ecologically valuable freshwater environments to study, due to their remoteness, fast flows and extreme climatic conditions. Traditional fish survey methods are often impractical or invasive in these habitats. This study presents a lightweight, low-cost, T-shaped remote underwater video (RUV) system optimized for fish monitoring in small, high-altitude streams of the European Alps.
View Article and Find Full Text PDFProc Mach Learn Res
November 2024
Pretraining plays a pivotal role in acquiring generalized knowledge from large-scale data, achieving remarkable successes as evidenced by large models in CV and NLP. However, progress in the graph domain remains limited due to fundamental challenges represented by feature heterogeneity and structural heterogeneity. Recent efforts have been made to address feature heterogeneity via Large Language Models (LLMs) on text-attributed graphs (TAGs) by generating fixed-length text representations as node features.
View Article and Find Full Text PDFBrain Commun
August 2025
Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA.
was identified in human and mouse Huntington's disease brain as the pathogenic exon 1 mRNA generated from aberrant splicing between exon 1 and 2 of that contributes to aggregate formation and neuronal dysfunction. Detection of the huntingtin exon 1 protein (HTT1a) has been accomplished with Meso Scale Discovery, Homogeneous Time Resolved Fluorescence and immunoprecipitation assays in Huntington's disease knock-in mice, but direct detection in homogenates by gel electrophoresis and western blot assay has been lacking. Subcellular fractions prepared from mouse and human Huntington's disease brain were separated by gel electrophoresis and probed by western blot with neoepitope monoclonal antibodies 1B12 and 11G2 directed to the C-terminal eight residues of HTT1a.
View Article and Find Full Text PDFVet World
July 2025
Research Center for Applied Zoology, National Research and Innovation Agency, Republic of Indonesia, Bogor, Indonesia.
Background And Aim: The () gene plays a pivotal role in regulating growth, metabolism, and fat deposition in cattle. Genetic polymorphisms in this gene can influence phenotypic traits and may serve as molecular markers for selection in breeding programs. However, comprehensive characterization of gene variants in local Indonesian breeds, such as Madura cattle, remains limited.
View Article and Find Full Text PDFSAR QSAR Environ Res
August 2025
Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Peptide quantitative structure-activity relationship (pQSAR) has been widely used in the computational peptidology community to model, predict and explain the activity and function of bioactive peptides. Various amino acid descriptors (AADs) have been developed to characterize the residue building blocks of peptides at sequence level. However, a significant issue is that the total number of AAD-characterized descriptors is proportional to peptide length, thus causing inconsistency in the resulting descriptor vector matrix for a panel of length-varying peptide sequences (LVPSs), which cannot be engaged in pQSAR modelling.
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