Results 221 to 230 of about 443,633 (293)

Nanoplasmonic Sensing of Heterogeneous Extracellular Vesicles: From Bulk to Single Vesicles

open access: yesSmall Methods, EarlyView.
Extracellular vesicles (EVs) are highly heterogeneous nanoscale blood biomarkers. With their tunable implementations, nanoplasmonic platforms can capture myriad vesicular information via scalable bulk analyses of EV biomarkers or high‐resolution single‐vesicle measurements.
Yan Zhang, Chao Wang, Huilin Shao
wiley   +1 more source

Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models

open access: yesStructural Concrete, EarlyView.
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou   +3 more
wiley   +1 more source

High resolution class I HLA-A, -B, and -C diversity in Eastern and Southern African populations. [PDF]

open access: yesSci Rep
Banjoko AW   +5 more
europepmc   +1 more source

Toward transparent AI: Predicting strength of fly ash foam composite concrete using explainable ML models

open access: yesStructural Concrete, EarlyView.
Abstract Fly ash foam composite concrete (FFC) is a sustainable, lightweight alternative to traditional concrete. However, accurately predicting its compressive strength (CS) through conventional laboratory methods is challenging due to its non‐linear behavior induced by the addition of foam content and fly ash. Also, the laboratory determination of CS
Atta Ullah   +5 more
wiley   +1 more source

The Linnaean revolution – A history of the Natural System

open access: yesTAXON, EarlyView.
Abstract A very brief history of the Natural System (NS) is presented, focusing on angiosperms. The account is divided into four parts. The first, “Setting the stage”, gives an outline of my understanding of evolutionary ontology and how this reflects on taxonomy.
Magnus Lidén
wiley   +1 more source

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