Results 141 to 150 of about 11,210,584 (306)

Multifunctional Neutrophil Nanovesicles Induce Remodeling of Tumor Immune Microenvironment and Synergistic Multimodal Tumor Therapy

Advanced Functional Materials, EarlyView.
Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang, Cheng Ji, Xin‐Jian Fang, Yu Qian, Jiayuan Shi, Wenhui Liu, Baiyuan Fan, Yuan Zhong, Jiayi Wang, Dan Yu, Maoye Wang, Min Fu, Xiaoxin Zhang, Runbi Ji, Hélder A. Santos, Hongbo Zhang, Xu Zhang   +16 more
wiley   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

Multimodal Analysis Image (Teacher Edition and Student Edition).

, 2012
The aim of this resource book and the accompanying software Multimodal Analysis Image is to introduce a systematic approach to the study of multimodal texts consisting of linguistic and visual elements.
O'Halloran, Kay, E, M.K.L., Tan, S.
core  

Unsupervised Segmentation of Object Manipulation Operations from Multimodal Input [PDF]

, 2011
Barchunova A, Moringen J, Großekathöfer U, et al. Unsupervised Segmentation of Object Manipulation Operations from Multimodal Input. In: Hammer B, Villmann T, eds. Machine Learning Reports. New Challenges in Neural Computation.
Großekathöfer, Ulf, Barchunova, Alexandra ; https://orcid.org/, Moringen, Jan, Janssen, Herbert, Ritter, Helge ; https://orcid.org/, Haschke, Robert ; https://orcid.org/, Villmann, Thomas, Wachsmuth, Sven ; https://orcid.org/, Hammer, Barbara   +8 more
core  

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

Advanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source

Multimodal computer-assisted transcription of ancient documents [PDF]

, 2011
A multimodal interactive approach for transcription of ancient documents is proposed. In this approach, user’s feedback directly facilitates improvements to system accuracy while multimodality increases system ergonomy and user acceptability.Romero Gómez,
Toselli, Alejandro Héctor, Cubel Barea, Elsa Mª, Romero Gómez, Verónica, Sánchez Peiró, Joan Andreu, Vidal, Enrique   +4 more
core  

Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

Advanced Functional Materials, EarlyView.
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu, Aditya Raghavan, Utkarsh Pratiush, Ian Mercer, Pochun Hsieh, Albert Suceava, Chih‐Yu Lee, Edgar Dimitrov, Mauricio Terrones, Ichiro Takeuchi, Venkatraman Gopalan, Jon‐Paul Maria, Sergei V. Kalinin   +12 more
wiley   +1 more source

Photo‐Degradable Polyester Networks and Multi‐Photon Printed Objects Based on Cyclic Ketene Acetals

Advanced Functional Materials, EarlyView.
The current work introduces a photoreversible polyester network derived from radical ring‐opening polymerization of cyclic ketene acetals. It combines photoreversible cross‐linking with initiator‐free multi‐photon printing. Reversible network formation, tunable mechanical properties, and selective degradation highlight its potential as a versatile ...
Till Meissner, Julian Fanelli, Vinh Xuan Truong, Rob Jones, Jens Gaitzsch, Christopher Barner‐Kowollik   +5 more
wiley   +1 more source