Results 71 to 80 of about 38,536 (261)

Mechanically Mutable Matrices: A Hierarchical Investigation of Decellularized Sea Cucumber Collagen as an Adaptable Scaffold Material

Advanced Functional Materials, EarlyView.
Sea cucumber mutable collagenous tissue (MCT) is a remarkable collagen‐based material which can rapidly undergo large changes in stiffness through transiently bound effector proteins. Here, we investigate the hierarchical structure and mechanical response of MCT from Cucumaria frondosa across length scales with a wide range of methods, also exploring ...
Nathalie R. H. Singh, Amy K. Lin, Sabra Rostami, Cameron Hastie, Paul W. Wiseman, Patrick Flammang, Christopher Moraes, Matthew J. Harrington   +7 more
wiley   +1 more source

Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture

Advanced Functional Materials, EarlyView.
This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li, Zhangzheng Xiao, Zheng Yan, Adnan Raza Altaf, Qun Song, Dingding Yao, Afshan Sohail, Yixin Wang, Wenxiu Ma, Shanjun Li, Yaohui Chen, Peiwen Liu, Kai Zhang   +12 more
wiley   +1 more source

Mixed-Supervised Learning for Cell Classification

Sensors
Cell classification based on histopathology images is crucial for tumor recognition and cancer diagnosis. Using deep learning, classification accuracy is hugely improved.
Hao Sun, Danqi Guo, Zhao Chen
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Oxygels: Tunable Phosphorescent Hydrogels for Cherenkov‐Excited Luminescence Imaging (CELI) of Oxygen

Advanced Healthcare Materials, EarlyView.
Biocompatible hydrogels with covalently embedded near‐infrared phosphorescent probes enable local tissue pO2 quantification by means of Cherenkov‐excited luminescence imaging (CELI), where optical excitation occurs within tissues upon irradiation with high‐energy electron beams.
Simin Belali, Marien Iliza Ochoa Mendoza, Matthew S. Reed, Danylo Mykhalchuk, Annemarie Lang, Joel D. Boerckel, Brian W. Pogue, Sergei A. Vinogradov   +7 more
wiley   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Semi-supervised classification of fundus images combined with CNN and GCN. [PDF]

J Appl Clin Med Phys, 2022
Duan S, Huang P, Chen M, Wang T, Sun X, Chen M, Dong X, Jiang Z, Li D.   +8 more
europepmc   +1 more source

Semi-supervised Spectral Clustering for Classification

CoRR, 2014
We propose a Classification Via Clustering (CVC) algorithm which enables existing clustering methods to be efficiently employed in classification problems. In CVC, training and test data are co-clustered and class-cluster distributions are used to find the label of the test data.
Arif Mahmood, Ajmal S. Mian
openaire   +2 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples. [PDF]

Sensors (Basel), 2023
Zhao M, Cheng Y, Qin X, Yu W, Wang P.
europepmc   +1 more source