Results 51 to 60 of about 111,971 (236)

Airborne 1O2 Delivery via a Superhydrophobic Dressing as a Pathway to Next‐Generation Wound Therapies, an in Vivo Murine Burn Model Study

Advanced Healthcare Materials, EarlyView.
Schematic illustration of the SH bandage placed on an infected burn wound and its role in wound healing. A superhydrophobic PDMS membrane coated with the PS verteporfin is placed over the wound area and illuminated with a red laser at 690 nm, generating airborne 1O2 above the tissue.
Fernanda Viana Cabral, QianFeng Xu, Natalie Eidenschink, Pareesha Haresh, Alessandra Nara de Souza Rastelli, Jeremy Goverman, Alexander Greer, Alan M. Lyons, Tayyaba Hasan   +8 more
wiley   +1 more source

Grammatical norm problem in diachronies (on the material of the manuscript of the XVII century “Jesus Christ passions”)

Известия Южного федерального университета: Филологические науки, 2015
The article describes the results of the study in terms of the implementation of the grammatical rules of the text of the apocryphal writings of «Jesus Christ Passion», forming the bulk of convolutes of the XVII century, which is stored in the Mordovian ...
Serebryakova Elina Valerievna
doaj  

Machine Hyperconsciousness [PDF]

, 2006
Individual animal consciousness appears limited to a single giant component of interacting cognitive modules, instantiating a shifting, highly tunable, Global Workspace.
Wallace, Rodrick
core  

Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy

Advanced Materials, EarlyView.
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa, Gracia Mendoza, Silvia Irusta, Manuel Arruebo   +3 more
wiley   +1 more source

Attentive Tensor Product Learning

, 2018
This paper proposes a new architecture - Attentive Tensor Product Learning (ATPL) - to represent grammatical structures in deep learning models.
Deng, Li, He, Xiaodong, Huang, Qiuyuan, Liu, Chang, Wu, Dapeng   +4 more
core   +1 more source

Nanozymes at the Bio‐Nano Interface: From Synthesis, Defect Engineering, Catalytic Behavior in Biological Microenvironments, and Biosafety Implications

Advanced Materials Interfaces, EarlyView.
Nanozymes (NZs) have emerged as versatile artificial enzymes with tunable catalytic properties driven by atomic coordination, defect engineering, and surface chemistry. This review presents a bio–nano interface framework linking synthesis strategies, structural design, and catalytic behavior within complex biological microenvironments.
Karen Guadalupe Quintero‐Garrido, Aída Jimena Velarde‐Salcedo, Alejandro López‐Amador, Noé Arjona, Citlali Uitz Toalá, Carmen Gonzalez, Beatriz Liliana España‐Sánchez   +6 more
wiley   +1 more source

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

Advanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen, Shi‐Qian Guo, Yu‐Chuan Chiu, Po‐Tsun Liu   +3 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

Automatic treebank-based acquisition of Arabic LFG dependency structures [PDF]

, 2009
A number of papers have reported on methods for the automatic acquisition of large-scale, probabilistic LFG-based grammatical resources from treebanks for English (Cahill and al., 2002), (Cahill and al., 2004), German (Cahill and al., 2003), Chinese ...
Attia, Mohammed, Tounsi, Lamia, van Genabith, Josef   +2 more
core