Results 201 to 210 of about 1,279,444 (349)
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
How can we sustainably assess the shelf life of EVOO? A systematic review on analytical strategies and food waste reduction. [PDF]
Di Maria M +4 more
europepmc +1 more source
Antarctic ice shelf potentially stabilized by export of meltwater in surface river
R. Bell +9 more
semanticscholar +1 more source
Stimuli‐Responsive Supramolecular Biomaterials for Cancer Theranostics
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
Statistically Classified Marine Epifaunal Bioregions on the Southern Benguela Margin, South Africa. [PDF]
Wozniak D, Atkinson L, Karenyi N.
europepmc +1 more source
Shelf Life of Food Products: From Open Labeling to Real-Time Measurements.
M. Corradini
semanticscholar +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
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 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
Circulation and ocean-ice shelf interaction beneath the Denman and Shackleton Ice Shelves. [PDF]
Rintoul SR +3 more
europepmc +1 more source
Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine
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

