Results 111 to 120 of about 95,703 (260)

Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method

open access: yesInternational Journal of Digital Earth
In rainfed and dryland agricultural areas with smallholder farms (less than 2 ha), crop diversity is high due to farmers' decisions and local climatic conditions, leading to a complex spatial–temporal distribution of crops.
Murali Krishna Gumma   +2 more
doaj   +1 more source

A Decoy‐Receptor‐Armed Biomimetic Nanotherapeutic With Inherent Tropism for Conserved Pathogenic Macrophages for Treating Osteoarthritis and Intervertebral Disc Degeneration

open access: yesAdvanced Science, EarlyView.
A biomimetic doppelgänger nanosystem neutralizes extracellular inflammatory cytokines and silences intracellular pyroptosis, reprogramming pathogenic macrophages to attenuate both joint and spine degeneration. ABSTRACT Osteoarthritis (OA) and intervertebral disc degeneration (IVDD) are debilitating musculoskeletal disorders driven by shared ...
Fudong Li   +9 more
wiley   +1 more source

Highly Sensitive Spatial Host‐Microbiome Transcriptomics in FFPE Tissues via Iterative Hydrogel Expansion

open access: yesAdvanced Science, EarlyView.
Ex‐spRandom is a spatial transcriptomics platform that synergizes random‐primed chemistry with iterative hydrogel expansion. By physically decrowding the dense FFPE matrix, this scalable technology shatters the traditional resolution‐sensitivity barrier.
Shunji Zhang   +7 more
wiley   +1 more source

Fzd7 Restrains Pink1‐Dependent Mitophagy in Suture Stem Cells to Maintain Cranial Suture Patency

open access: yesAdvanced Science, EarlyView.
How suture stem cells fail to preserve cranial suture patency remains incompletely understood. Integrated single‐cell and high‐resolution spatial transcriptomic analyses identify reduced Fzd7 expression in Prrx1+ suture stem cells as an early feature of craniosynostosis.
Xinyan Chen   +10 more
wiley   +1 more source

Unsupervised meta-learning with domain adaptation based on a multi-task reconstruction-classification network for few-shot hyperspectral image classification

open access: yesJournal of Information and Intelligence
Although the deep-learning method has achieved great success for hyperspectral image (HSI) classification, the few-shot HSI classification deserves sufficient study because it is difficult and expensive to acquire labeled samples.
Yu Liu   +3 more
doaj   +1 more source

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer‐Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo   +10 more
wiley   +1 more source

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

open access: yesAdvanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang   +14 more
wiley   +1 more source

Targeting the NR1D1–IGF2BP2–V‐ATPase Axis With Hybrid Nanovesicles Restores Macrophage Rhythms to Reverse Sepsis‐Induced Immunosuppression

open access: yesAdvanced Science, EarlyView.
Sepsis disrupts immune‐cell rhythms and weakens bacterial clearance. Biomimetic nanovesicles combining erythrocyte and inflammation‐activated macrophage membranes deliver siNR1D1 to dysfunctional macrophages, restoring the NR1D1–IGF2BP2–V‐ATPase pathway, circadian regulation, phagolysosomal acidification, and antimicrobial defense.
Lang Chen   +13 more
wiley   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

open access: yesAdvanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo   +10 more
wiley   +1 more source

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