Results 121 to 130 of about 408,145 (290)

Low‐Temperature Fabrication of Thymosin β4‐Loaded Soluble Microneedles to Promote Wound Healing by Specific Binding to Downregulated Immune Regulators Vsig4 and IL22rɑ2

Advanced Healthcare Materials, EarlyView.
Schematic diagram depicting the fabrication and application of thymosin β4 (Tβ4)‐loaded microneedle patches for wound treatment. The Tβ4 was loaded into chitosan (CS) and sucrose MNs under mild conditions (4°C, 65% relative humidity). The Tβ4 MN patch specifically binds to the downregulated immune regulators Vsig4 and IL22rα2, thereby accelerating ...
Shilong He, Mei Yuan, Changkang Feng, Yixuan Zhang, Jinjing Che   +4 more
wiley   +1 more source

Mitochondrial Transplantation via Magnetically Responsive Artificial Cells Promotes Intracerebral Hemorrhage Recovery by Supporting Microglia Immunological Homeostasis

Advanced Materials, Volume 37, Issue 13, April 2, 2025.
A type of magnetically responsive artificial cells (ACs) has been developed, demonstrating the loading of mitochondria and self‐enclosure processes to ensure the protection of mitochondrial transport via the bloodstream. The treatment with ACs effectively transplanted mitochondria around the lesion, thereby improving neurological recovery by supporting
Mi Zhou, Jinhui Zang, Yuxuan Qian, Qiang Zhang, Yifan Wang, Tingting Yao, Hongyu Yan, Kai Zhang, Xiaojun Cai, Lixian Jiang, Yuanyi Zheng   +10 more
wiley   +1 more source

Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-GBLUP)

Genetics Selection Evolution
Background Methane emissions from ruminant livestock pose a significant challenge to mitigating climate change. Genomic selection offers a promising approach to reduce methane emissions, but prediction accuracy remains low due to the high cost of ...
Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe   +7 more
doaj   +1 more source

Optimally Weighted PCA for High-Dimensional Heteroscedastic Data

, 2018
Modern applications increasingly involve high-dimensional and heterogeneous data, e.g., datasets formed by combining numerous measurements from myriad sources.
Balzano, Laura, Fessler, Jeffrey A., Hong, David   +2 more
core  

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Crystal Engineering of Reticular Materials for Gas‐ and Liquid‐Phase Hydrocarbon Separation

Advanced Materials, EarlyView.
Crystal engineering enables systematic study of structure/function relationships as exemplified by pore engineering of reticular sorbents, including porous coordination networks and covalent organic frameworks. This review assesses such studies applied across the full scope of industrially relevant hydrocarbon separations to provide insight into how ...
Xia Li, Soumya Mukherjee, Michael J. Zaworotko   +2 more
wiley   +1 more source

Excited State Opto‐Ionic Reservoir Computing in Hybrid Perovskite Electrochemically‐Gated Luminescent Cells

Advanced Materials, EarlyView.
A neuromorphic computing system exploiting opto‐ionic modulation in lead halide perovskite microcrystals demonstrates high‐dimensional reservoir dynamics with diffraction‐limited node resolution. Leveraging ultrafast excited‐state interactions, it achieves efficient computation (800 pJ/node‐operation), robustly distinguishing 4‐bit pulse sequences ...
Philipp Kollenz, Carina Herrle, Leonard Göhringer, Nasrin Solhtalab, Tom Wickenhäuser, Wolfram Pernice, Rüdiger Klingeler, Felix Deschler   +7 more
wiley   +1 more source

The Use of Features Extracted from Noisy Samples for Image Restoration Purposes [PDF]

An important feature of neural networks is the ability they have to learn from their environment, and, through learning to improve performance in some sense.
Catalina COCIANU, Luminita STATE, Panayiotis VLAMOS   +2 more
core  

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

Advanced Optical Materials, EarlyView.
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur, Nicolas T. Sandino, Jason P. Terry, Mahdi Ghafariasl, Yohannes Abate   +4 more
wiley   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source