Results 81 to 90 of about 141,062 (268)

Tissue Engineered Human Elastic Cartilage From Primary Auricular Chondrocytes for Ear Reconstruction

Advanced Functional Materials, EarlyView.
Despite over three decades of research, no tissue‐engineered solution for auricular reconstruction in microtia patients has reached clinical translation. The key challenge lies in generating functional elastic cartilage ex vivo. Here, we integrate synergistic cell‐biomaterial strategies to engineer auricular grafts with mechanical and histological ...
Philipp Fisch, Sandra Kessler, Simone Ponta, Anna Puiggalí‐Jou, Guoliang Lyu, Killian Flégeau, Anastasiya Martyts, Florian Roth, David Fercher, Filippo M. Rijli, Daniel Simmen, Eva Novoa Olivares, Thomas Linder, Marcy Zenobi‐Wong   +13 more
wiley   +1 more source

Interactive Knowledge Distillation

, 2020
Knowledge distillation is a standard teacher-student learning framework to train a light-weight student network under the guidance of a well-trained large teacher network. As an effective teaching strategy, interactive teaching has been widely employed at school to motivate students, in which teachers not only provide knowledge but also give ...
Fu, Shipeng, Li, Zhen, Xu, Jun, Cheng, Ming-Ming, Liu, Zitao, Yang, Xiaomin   +5 more
openaire   +2 more sources

4D‐Printable Poly(Thio)urethane Photoresins With Reactive Oxygen Species Responsiveness and Anti‐Inflammatory Functionality

Advanced Functional Materials, EarlyView.
This work introduces UV‐curable poly(thio)urethane (PSU) thermosets as 4D printable scaffolds responsive to oxidative stress. PSU networks with 100 wt.% polypropylene glycol (PPG) effectively suppress inflammatory markers in microglial cells to basal values.
Xabier Lopez de Pariza, Lolita Arévalo‐Lagos, Louise Breloy, Oihane Varela, Aitor Larrañaga, Juan F. Cadavid‐Vargas, Olaia Garagarza‐Goienetxea, Melissa Moya‐Granados, Vanessa Bagnarello, Haritz Sardon, Miryam Criado‐Gonzalez   +10 more
wiley   +1 more source

Federated Knowledge Distillation

, 2020
30 pages, 12 figures, 2 tables; This chapter is written for the forthcoming book, Machine Learning and Wireless Communications (Cambridge University Press), edited by H. V. Poor, D. Gunduz, A.
Seo, Hyowoon, Park, Jihong, Oh, Seungeun, Bennis, Mehdi, Kim, Seong-Lyun   +4 more
openaire   +2 more sources

Establishing a Model Precursor System: Over a Decade of Research on Carbon Dots from the Citric Acid‐Urea System

Advanced Functional Materials, EarlyView.
The citric acid/urea (CA‐Urea) precursor system offers a versatile, scalable route to carbon dots with tunable luminescence and multifunctionality. Mechanistic insights into precursor chemistry and reaction parameters have enabled doping, surface modification, and hybridization strategies, yielding CDs for luminescent devices, sensing, catalysis ...
Yupeng Liu, Zhiqi Cai, Xiangxin Sun, Hanyi Zhang, Yiming Hao, Jun Wu, Zekun Yan, Xue Wu, Yiqi Liang, Liming Wang, Songnan Qu   +10 more
wiley   +1 more source

High‐Throughput Generation of Tumor Spheroids via Droplet Microfluidics for siRNA‐Loaded Nanomedicine Assessment

Advanced Healthcare Materials, EarlyView.
A droplet microfluidic platform is employed to enable high‐throughput, uniform tumor spheroid generation for evaluating siRNA‐loaded nanomedicines at the protein level. As a proof of concept, breast (MCF‐7) and brain (U87 MG) cancer cell lines are investigated using this platform, revealing penetration profiles and therapeutic responses between the two
Ling Liu, Guoying Wang, Yang Zhang, Bingyang Shi, Ming Li   +4 more
wiley   +1 more source

Knowledge Distillation Based on Fitting Ground-Truth Distribution of Images

Applied Sciences
Knowledge distillation based on the features from the penultimate layer allows the student (lightweight model) to efficiently mimic the internal feature outputs of the teacher (high-capacity model).
Jianze Li, Zhenhua Tang, Kai Chen, Zhenlei Cui   +3 more
doaj   +1 more source

Application of Decoupled Knowledge Distillation Method in Document-level RelationExtraction [PDF]

Jisuanji kexue
Document-level relation extraction is an important research direction in the field of natural language processing,aiming to extract semantic relationships between entities from unstructured or semi-structured natural language documents.This paper ...
LIU Le, XIAO Rong, YANG Xiao
doaj   +1 more source

Spatial Patterning of Modular Gelatin‐Peroxide Microspheres in Melt‐Electrowritten Scaffolds Provides Controlled Oxygen Generation and Mitigates Hypoxia and Cytotoxicity

Advanced Healthcare Materials, EarlyView.
A bioassembly approach is described using photo‐crosslinked gelatin‐based microgels containing calcium peroxide (CaO2) to generate oxygen (O2) and enhance cell survival in hypoxic conditions (1% O2). Bioassembly enables spatial patterning of individual CaO2‐laden and mesenchymal stem cell (MSC)‐laden microgels and allows for decoupling and mitigating ...
Axel E. Norberg, F. Max Yavitt, Ezgi Bakirci, Khoon Lim, Tim B. F. Woodfield, Gabriella C. J. Lindberg   +5 more
wiley   +1 more source

Aortic KD former: aortic multiclass segmentation using SegFormer via knowledge distillation

Machine Learning: Science and Technology
In this paper, we investigate the effectiveness of knowledge distillation for semantic segmentation of aortic structures using deep learning models. We employ SegFormer B5 as the teacher model and SegFormer B0 as the student model. Knowledge distillation
Nancy Mohamed Soliman, Medhat Awadalla, Mohamed Elhelw, Mustafa Elattar   +3 more
doaj   +1 more source