Results 51 to 60 of about 271 (223)

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

open access: yesAdvanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio   +6 more
wiley   +1 more source

An Implantable Phototriggered Prodrug Depot Patch Enables Actively Programmable Drug Release for Post‐Myocardial Infarction Therapy

open access: yesAdvanced Science, EarlyView.
An implantable phototriggered prodrug depot patch (iPDP) is presented that enables actively programmable drug release post‐implantation. Covalently conjugated prodrug ensures minimal leakage; illumination parameters serve as a code to precisely control dose per release.
Haipeng Lu   +10 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

open access: yesAIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son   +4 more
wiley   +1 more source

A connectionist parser for Structure Unification Grammar [PDF]

open access: yesProceedings of the 30th annual meeting on Association for Computational Linguistics -, 1992
This paper presents a connectionist syntactic parser which uses Structure Unification Grammar as its grammatical framework. The parser is implemented in a connectionist architecture which stores and dynamically manipulates symbolic representations, but which can't represent arbitrary disjunction and has bounded memory.
openaire   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Towards Modular Development of Typed Unification Grammars

open access: yesComputational Linguistics, 2021
Yael Sygal, Shuly Wintner
doaj   +1 more source

Conditional descriptions in Functional Unification Grammar [PDF]

open access: yesProceedings of the 26th annual meeting on Association for Computational Linguistics -, 1988
A grammatical description often applies to a linguistic object only when that object has certain features. Such conditional descriptions can be indirectly modeled in Kay's Functional Unification Grammar (FUG) using functional descriptions that are embedded within disjunctive alternatives.
openaire   +1 more source

3D‐Printed Shark‐Inspired Soft–Hard Hybrid Underwater Robot With Buoyancy Control and Onboard Vision

open access: yesAdvanced Intelligent Systems, EarlyView.
A fully self‐contained shark‐inspired underwater robot is developed using 3D‐printed soft–hard hybrid structures, servo‐driven propulsion, and pump‐based buoyancy control. The platform achieves three‐dimensional locomotion and onboard vision‐based target tracking, offering a reproducible and accessible framework for biomimetic underwater robot research.
Shotaro Saito   +3 more
wiley   +1 more source

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