Results 181 to 190 of about 1,103,393 (348)

Urea‐Formaldehyde Resin Confined Silicon Nanodots Composites: High‐Performance and Ultralong Persistent Luminescence for Dynamic AI Information Encryption

open access: yesAdvanced Science, EarlyView.
Schematic illustration of SiNDs composite materials synthesis and its internal photophysical process mechanism. And an AI‐assisted dynamic information encryption process. ABSTRACT Persistent luminescence materials typically encounter an intrinsic trade‐off between high phosphorescence quantum yield (PhQY) and ultralong phosphorescence lifetime.
Yulu Liu   +9 more
wiley   +1 more source

Controlled Optically Active Hierarchical Nanostructures of Side‐Chain Sequence‐Regulated Graphene Nanoribbons

open access: yesAdvanced Science, EarlyView.
The restrained side‐chain accessibility and versatility of GNRs extremely impede their multifunctionality, solution processability, and numerous solution‐based applications. We report herein a robust liquid‐phase bottom‐up synthesis approach for high‐efficiency preparation of side‐chain sequence‐regulated functional GNRs.
Baiyang Chen   +8 more
wiley   +1 more source

Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs

open access: yesAdvanced Science, EarlyView.
Integrated multi‐omics across pig breeds and tissues reveals key principles of post‐transcriptional translational regulation and their contribution to trait formation. A gene network framework integrating transcriptomic and translatomic data is developed and applied to elucidate the genetic basis of meat production, offering new insights into mammalian
Chao Wang   +13 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Iterative Convolutional Encoder-Decoder Network with Multi-Scale Context Learning for Liver Segmentation

open access: gold, 2022
Feiyan Zhang   +5 more
openalex   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

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