Results 81 to 90 of about 14,848 (289)

Assembly of Cell‐Seeded 3D Printed Hydrogel Modules with Perfusable Channel Networks

Advanced Functional Materials, EarlyView.
Macroscale assembly was utilized to prepare perfusable tissue constructs from individually 3D printed hydrogel modules with embedded branched channel networks and port arrays for cell seeding. Novel multi‐material bioreactors were fabricated to facilitate the gluing of individual modules and the perfusion culture of assembled modular constructs seeded ...
Zachary J. Geffert, Daniel Fougnier, Bo Van Durme, Jenna Grutzmacher, Ryan Clarke, Susan Cao, Zhenghao Li, Ujjwal Aryal, Jason A. Horton, Sandra Van Vlierberghe, Pranav Soman   +10 more
wiley   +1 more source

Lightweight Person Re-Identification for Edge Computing

IEEE Access
In person re-identification, most prevalent models are predominantly designed for cloud computing environments which introduces complexities that limit their effectiveness in edge computing scenarios.
Wang Jin, Dong Yanbin, Chen Haiming
doaj   +1 more source

Magnetothermal‐Triggered Response and Self‐Healing of Recyclable and Reprocessable Nanocomposites for Actuation Systems

Advanced Functional Materials, EarlyView.
Developing recyclable materials for magnetic robotics that combine rapid response and self‐healing properties is challenging. Hence, this study focuses on the integration of magnetothermal nanoparticles into a dynamic sorbitol‐based vitrimer, a recyclable composite capable of remote actuation and self‐healing by magnetic heating.
Maria Weißpflog, Gloria Signorato, Birgit Hankiewicz, Volker Abetz   +3 more
wiley   +1 more source

Coagulative Granular Hydrogels with an Enzyme Catalyzed Fibrin Network for Endogenous Tissue Regeneration

Advanced Healthcare Materials, EarlyView.
Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng, Camila B. Tovani, Simona Bianco, Gianni Comandini, Aya Elghajiji, Mina Aleemardani, Roxana Moscalu, Jeremie Zappia, Bianca Fernandes, Olivia Annett, Chrissy L. Hammond, Jason Wong, Dave J. Adams, Fabrizio Scarpa, Michael R. Whitehouse, Annela M. Seddon, James P. K. Armstrong   +16 more
wiley   +1 more source

MV–MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation

Entropy
We present a new method of self-supervised learning and knowledge distillation based on multi-views and multi-representations (MV–MR). MV–MR is based on the maximization of dependence between learnable embeddings from augmented and non-augmented views ...
Vitaliy Kinakh, Mariia Drozdova, Slava Voloshynovskiy   +2 more
doaj   +1 more source

Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification

, 2022
Recent years have witnessed great success in handling graph-related tasks with Graph Neural Networks (GNNs). Despite their great academic success, Multi-Layer Perceptrons (MLPs) remain the primary workhorse for practical industrial applications.
Gao, Zhangyang, Li, Stan Z., Lin, Haitao, Liu, Zicheng, Wu, Lirong, Xia, Jun, Zhao, Guojiang   +6 more
core  

The Floor‐Ceiling‐Chip, or 2 × 2D = Pseudo‐3D—Approaching 3D Cell Morphology and Organization between Two Opposing 2D Substrates with Cell‐Adhesive Protein Micropatterns

Advanced Healthcare Materials, EarlyView.
Here, we present a novel 3D cell patterning and culture platform. The “Floor‐Ceiling‐Chip” (FC‐Chip) consists of two opposing track‐etched membranes, creating a pseudo‐3D microenvironment for the cells in between. By providing the membranes with micropatterned cell‐adhesive islands of varying geometries and sizes, the FC‐Chip enables control over cell ...
Urandelger Tuvshindorj, Francesca Giacomini, Esra Güben Kaçmaz, Tim ten Brink, Lorenzo Moroni, Zeinab Tahmasebi Birgani, Clemens van Blitterswijk, Pamela Habibović, Stefan Giselbrecht, Jan de Boer, Roman Truckenmüller   +10 more
wiley   +1 more source

Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained Models

, 2023
We tackle the challenging issue of aggressive fine-tuning encountered during the process of transfer learning of pre-trained language models (PLMs) with limited labeled downstream data.
Amara, Ibtihel, Chadha, Aman, Jain, Vinija   +2 more
core  

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

Self-Distillation for Gaussian Process Regression and Classification

, 2023
We propose two approaches to extend the notion of knowledge distillation to Gaussian Process Regression (GPR) and Gaussian Process Classification (GPC); data-centric and distribution-centric.
Andersen, Lars Nørvang, Borup, Kenneth
core