Results 201 to 210 of about 1,279,444 (349)

Photocatalytically Activated Cu‐N1S3 Single‐Atom Nanozyme: Enhancing Enzyme Activities and Antibacterial Synergy for Highly Efficient Fruit Preservation

open access: yesAdvanced Science, EarlyView.
This study presents S‐coordinated Cu single‐atom nanozymes (Cu/CNS) fabricated via mild photocatalytic self‐assembly strategy. The nanozyme exhibits exceptional multi‐enzyme activity and near‐perfect antimicrobial efficacy. Incorporated into chitosan‐gelatin film, it enables pH‐responsive, broad‐spectrum fruit preservation, more than doubling the shelf‐
Chuanlong Men   +7 more
wiley   +1 more source

Antarctic ice shelf potentially stabilized by export of meltwater in surface river

open access: yesNature, 2017
R. Bell   +9 more
semanticscholar   +1 more source

Stimuli‐Responsive Supramolecular Biomaterials for Cancer Theranostics

open access: yesAdvanced Science, EarlyView.
The ultimate goal of cancer theranostics is to get imaging agents and therapeutic cargo to tumor sites when and where they are required. “Smart” systems should be developed. This review discusses the characteristics of physiological stimuli, types and action modes of external stimuli, construction approaches and working principles, as well as ...
Wenting Hu   +4 more
wiley   +1 more source

Shelf Life of Food Products: From Open Labeling to Real-Time Measurements.

open access: yesAnnual Review of Food Science and Technology, 2018
M. Corradini
semanticscholar   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

open access: yesAdvanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu   +6 more
wiley   +1 more source

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

open access: yesAdvanced Science, EarlyView.
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao   +10 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

open access: yesAdvanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan   +24 more
wiley   +1 more source

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