Results 121 to 130 of about 25,958 (254)

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

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

open access: yesAdvanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv   +10 more
wiley   +1 more source

Bioadhesive‐Integrated 3D‐Printed Multilayer Scaffolds Secure a Mechanically‐Stable Osteoimmune Niche for Enhanced Bone Augmentation

open access: yesAdvanced Science, EarlyView.
A 3D‑printed multilayer adhesive scaffold, firmly anchored to bone defects by simple finger pressing, suppresses micromotion and secures mechanical stability of the osteogenic niche. This stabilization likely contributes to the enhanced bone augmentation by fostering a pro‑regenerative mechano‐immune profile—characterized by M2‑like macrophage ...
Delu Zhao   +7 more
wiley   +1 more source

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

open access: yesAdvanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

Advancing the Evidence Base for Adult Day Services: A New Five-Year Research Agenda for 2026-2031. [PDF]

open access: yesJ Appl Gerontol
Sadarangani T   +4 more
europepmc   +1 more source

Blood Cell‐Camouflaged Liquid Metal Nanoconjugates Orchestrate Treg Depletion and STING‐Amplified Photothermal Immunity for Metastatic Triple‐Negative Breast Cancer Therapy

open access: yesAdvanced Science, EarlyView.
Whole‐blood biomimetic engineering transforms liquid metal nanoparticles into a tripartite immunotherapeutic platform that orchestrates regulatory T‐cell depletion, photothermal‐induced immunogenic cell death, and activation of the stimulator of interferon genes pathway.
Nina Sang, Eijiro Miyako
wiley   +1 more source

From evidence to action: expert perspectives on stakeholder dialogues in Swiss health policy. [PDF]

open access: yesInt J Public Health
Rubinelli S   +6 more
europepmc   +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

Advancing multi-database cohort studies: lessons learned from a studyathon in a pharmaceutical company. [PDF]

open access: yesJAMIA Open
Inan-Eroglu E   +8 more
europepmc   +1 more source

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