Results 151 to 160 of about 79,128 (266)
An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan +4 more
wiley +1 more source
Latent growth mixture modeling: An application in the aeronautic training environment
A aplicação de modelo de mistura com crescimento latente a dados longitudinais oferece uma generalização importante dos modelos de crescimento convencionais, permitindo a identificação de diferentes padrões de crescimento, tendo em conta a heterogeneidade da população.
openaire +1 more source
Fibronectin regulates the extracellular matrix (ECM)–myofibroblast cycle through three key steps: (1) its secretion and assembly by myofibroblasts (inhibited by pUR4); (2) collagen deposition along its scaffold (inhibited by R1R2); and (3) integrin α5β1‐mediated mechanotransduction (inhibited by ATN161).
Wenlong Ma +10 more
wiley +1 more source
A Latent Transition Mixture Model Using the Three-Step Specification [PDF]
Furlong, Michael +3 more
core +2 more sources
Microglial GPR35 Ameliorates Epileptogenesis and Neuroinflammation via PDGFA Domain 2 Signaling
Activation of microglial G protein–coupled receptor 35 (GPR35) by L‐kynurenic acid (L‐Kyna) initiates a platelet‐derived growth factor A (PDGFA)–dependent phosphoinositide 3‐kinase–protein kinase B (PI3K–AKT) signaling cascade that dampens hippocampal neuroinflammation, thereby restraining epileptogenesis, lowering seizure susceptibility, and ...
Qi Wang +17 more
wiley +1 more source
Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos +6 more
wiley +1 more source
Selective Lithium Recovery via Photothermal Evaporation and Hydration‐Controlled Adsorption
A bilayer Mo‐LDH@Sponge composite is developed to couple interfacial photothermal evaporation with hydration‐controlled lithium adsorption. Solar‐induced heating dynamically regulates Li+ hydration and transport, enabling selective lithium capture from saline water. This work provides mechanistic insight into photothermal–adsorption coupling for energy‐
Yanan Pan +4 more
wiley +1 more source
Evaporation‐Driven Solutal Marangoni Control of Rayleigh–Taylor Instability in Inverted Films
Inverted liquid films, like paint on a ceiling, are inherently unstable under gravity. This work shows that selective evaporation in volatile binary mixtures generates solutal Marangoni stresses that either suppress or amplify the Rayleigh Taylor instability.
Minwoo Choi, Hyejoon Jun, Hyoungsoo Kim
wiley +1 more source
PtRhIr/Ru SAN@M nanozymes cross the blood–brain barrier and selectively accumulate in hemorrhagic brain regions. By mimicking multiple enzyme activities, they attenuate oxidative stress, modulate microglial polarization toward an anti‐inflammatory phenotype, inhibit ferroptosis, and promote neuronal repair.
Jiebo Li +17 more
wiley +1 more source
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source

