Results 111 to 120 of about 66,888 (211)

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

open access: yesAdvanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu   +4 more
wiley   +1 more source

Multi‐Scale Bionic Structure Constructs Biomass Flame‐Retardant Thermal Insulation Foam Material

open access: yesAdvanced Science, EarlyView.
Inspired by mussel adhesion and hierarchical brick‐and‐mortar architectures, a cellulose‐based biomimetic foam is constructed by anchoring bentonite nanosheets onto a polydopamine‐decorated cellulose nanofiber network. The resulting foam combines low thermal conductivity with intrinsic flame retardancy and full biodegradability, presenting a ...
Jianming Liao   +10 more
wiley   +1 more source

Real time fire and smoke detection using vision transformers and spatiotemporal learning. [PDF]

open access: yesSci Rep
Lilhore UK   +8 more
europepmc   +1 more source

Functional Sex Reversal in Adult Gonochoristic Teleosts is Mediated by Ovarian Germline Stem Cell Plasticity and Somatic Cell Transdifferentiation

open access: yesAdvanced Science, EarlyView.
Oocytes play crucial roles in maintaining ovarian fate in adult gonochoristic fish. Targeted oocyte ablation with aromatase inhibition triggers the activation of surviving germline stem cells and the transdifferentiation of somatic cells from granoulosa/theca to Sertoli/Leydig lineages, inducing a complete and functional female‐to‐male sex reversal ...
Yang Yang   +6 more
wiley   +1 more source

Edge-Based Autonomous Fire and Smoke Detection Using MobileNetV2. [PDF]

open access: yesSensors (Basel)
Sharobiddinov D   +5 more
europepmc   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

open access: yesAdvanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang   +10 more
wiley   +1 more source

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