Results 131 to 140 of about 75,625 (298)

Biodegradable Zn‐Based Implants: Progress, Challenges, and Pathways toward Clinical Translation

open access: yesAdvanced Science, EarlyView.
Exploring biodegradable Zn‐based implants offers a promising pathway to next‐generation biomedical devices with balanced degradation and biocompatibility. A comprehensive overview of biodegradable Zn‐based implants, covering their biological significance, material design principles, and advanced engineering strategies is provided.
Panfeng Zhao   +10 more
wiley   +1 more source

Relationship between siestas and number of grammatical categories a verb can take.

open access: yes, 2013
Relationship between siestas and number of grammatical categories a verb can take.
Seán Roberts (445777)   +1 more
core   +1 more source

Micro‐Galvanic Coupling Programs the Therapeutic Zinc Ion Window to Reconfigure Immune Cascades for Pro‐Regenerative Bone Healing

open access: yesAdvanced Science, EarlyView.
This study utilized alloy micro‐galvanic coupling design to regulate the release of essential elements, thereby programming immune responses and promoting regeneration. The sacrificial anodic process of Zn‐0.8Mg reduced Zn2+ release compared to the “large cathode‐small anode” coupling of Zn‐0.8Fe.
Chaoyang Sun   +14 more
wiley   +1 more source

Basic grammatical concepts: from theory to practice

open access: yesФилологический класс, 2008
The article focuses on the scientific approach to studying the basic notion of Linguistics - that of a grammatical category. Grammatical verb categories of person and number are defined in the article, and a number of exercises designed to analyze the ...
doaj  

Common grammatical errors made by Turkmen learners of Russian as a foreign language (insights from the Russian Learner Corpus)

open access: yesУченые записки Казанского университета: Серия Гуманитарные науки
The problem of dealing with typical grammatical errors made by foreign learners of Russian has been a continuous pursuit in the field of Russian teaching and learning.
E. V. Grudeva, S. A. Soloveva
doaj   +1 more source

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

Tree-adjunct grammatical evolution

open access: yes, 2010
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, Spain, 18-23 JulyIn this paper we investigate the application of Tree-Adjunct Grammars to Grammatical Evolution.
Murphy, Eoin   +8 more
core   +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

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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