Results 51 to 60 of about 3,453,209 (234)

MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking

open access: yes, 2020
Grammatical error correction (GEC) is a promising natural language processing (NLP) application, whose goal is to change the sentences with grammatical errors into the correct ones.
Wang, Houfeng, Zhao, Zewei
core   +1 more source

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

open access: yesAdvanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang   +5 more
wiley   +1 more source

A comparative evaluation of deep and shallow approaches to the automatic detection of common grammatical errors [PDF]

open access: yes, 2007
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses the XLE LFG parser and English grammar: two versions are presented, one ...
Foster, Jennifer   +2 more
core   +2 more sources

Beyond Conventional: A Review of Phytochemical‐Hydrogel Systems Enhanced by AI and 3D Printing for Chronic Wound Management

open access: yesAdvanced Science, EarlyView.
This review systematically bridges chronic wound pathology with natural phytochemical hydrogel therapeutics. A pathology‐to‐phytochemical mechanistic mapping framework is established, linking specific wound hallmarks to targeted phytochemical interventions.
Yitao Zhou   +8 more
wiley   +1 more source

Extending Quantum Error Correction: New Continuous Measurement Protocols and Improved Fault-Tolerant Overhead [PDF]

open access: yes, 2004
Quantum mechanical applications range from quantum computers to quantum key distribution to teleportation. In these applications, quantum error correction is extremely important for protecting quantum states against decoherence.
Ahn, Charlene Sonja
core   +1 more source

EliaGorokhovsky/Time-Error-Correction-MATLAB: v1.0.0

open access: yes, 2022
Added code, data, and figures. Full Changelog: https://github.com/EliaGorokhovsky/Time-Error-Correction-MATLAB/commits/v1.0.
Elia Gorokhovsky
core   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

open access: yesAdvanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen   +11 more
wiley   +1 more source

Real‐Time Monitoring of Mass and Mechanical Properties in Single Cells and Multicellular Spheroids

open access: yesAdvanced Science, EarlyView.
This study introduces photothermally actuated microcantilevers combined with optical microscopy to simultaneously measure morphology, mass, and mechanical properties of cellular systems in real‐time. The findings link cytoplasm‐dominated mechanical energy dissipation to the Q‐factor as a novel biophysical parameter.
Ilaria Incaviglia   +8 more
wiley   +1 more source

Computational and Data‐Driven Strategies for Lignocellulosic Biomass Valorization: From Multiscale Modeling to Digitalized Biorefinery Design

open access: yesAdvanced Science, EarlyView.
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar   +9 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

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