Results 91 to 100 of about 9,721 (245)

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

open access: yesAdvanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang   +5 more
wiley   +1 more source

Multimodal Multiorgan‐on‐a‐Chip Platform for Probing Liver‐Tumor Interactions and Advancing Prodrug Screening

open access: yesAdvanced Science, EarlyView.
This work introduces a multimodal multi‐OoC platform that overcomes current limitations in liver‐tumor interaction studies and prodrug screening. By integrating dynamic microfluidic circuits, electrochemical sensing, and mass analysis, this platform enables non‐invasive, longitudinal monitoring of drug metabolism and hepatotoxicity, offering a ...
Dan Wang   +10 more
wiley   +1 more source

Boosting Sensory Nerve‐to‐Bone Interactions Enhances Hedgehog Mediated Calvarial Bone Repair

open access: yesAdvanced Science, EarlyView.
Boosting sensory nerve activity via TrkA agonism strongly accelerates calvarial bone repair in adult mice. Furthermore, single‐cell RNA sequencing and neuron–bone interactome analyses identify these sensory neurons as a direct neural source of Hedgehog pathway ligands. Consequently, these ligands drive osteoblast differentiation of skeletal progenitors,
Zhao Li   +9 more
wiley   +1 more source

Allosteric DNAzyme‐Enabled Sensitive and Multiplex Detection of Biomarkers for Rapid Diagnosis of Urinary Tract Infections

open access: yesAdvanced Science, EarlyView.
A catalytic allosteric DNAzyme assay (SMART) is developed by engineering DNAzyme into a unimolecular biosensor, enabling highly sensitive and multiplex detection of small molecules and nucleic acids. SMART enables extraction‐free, one‐pot, one‐step, isothermal, and cost‐effective detection of biological markers, achieving >95% accuracy for rapid ...
Yanzhe Shen   +12 more
wiley   +1 more source

A High‐Throughput Live Imaging Platform to Investigate Circuit‐Dependent Regulation of Circadian Rhythms in Brain Tissue

open access: yesAdvanced Science, EarlyView.
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari   +3 more
wiley   +1 more source

WTAP‐Mediated m6A Modification Targets the LRP1‐Lipid Metabolism Axis to Regulate Joint Cartilage Regeneration

open access: yesAdvanced Science, EarlyView.
WTAP drives cartilage regeneration by activating an LRP1‐dependent lipid metabolic program in macrophages, enhancing IL‐10 and TGF‐β secretion to promote chondrogenic differentiation. Leveraging this mechanism, virtual screening identifies LRP1‐targeting compounds that effectively stimulate cartilage repair, highlighting a druggable epigenetic ...
Chenyan Huang   +6 more
wiley   +1 more source

Hyperspectral Band Selection via Joint Volume Gradient

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Unsupervised band selection (BS) is a crucial research direction in the domain of hyperspectral image (HSI) processing. In recent years, volume-based criteria have garnered considerable attention, with the volume-gradient-based BS (VGBS) algorithm being ...
Songyi Xiao   +4 more
doaj   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

open access: yesAdvanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu   +8 more
wiley   +1 more source

Machine Learning for Photocatalytic Materials Design and Discovery

open access: yesCrystals
Traditionally, the development and optimisation of photocatalytic materials have relied on experimental approaches and density functional theory (DFT) calculations. Although these methods have driven significant scientific progress, they are increasingly
David O. Obada   +7 more
doaj   +1 more source

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