Results 101 to 110 of about 177,158 (279)

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

Advanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou, Barbara Spagnolo, Antonio Balena, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source

ComHA: Knowledge Graph Embedding Model Integrating Geometric Transformations and Hierarchical Structures [PDF]

Jisuanji gongcheng
Knowledge graph embedding technologies aim to convert complex semantic information into computationally efficient, low-dimensional vector representations.
LI Wenhao, ZHANG Dong, LI Guanyu
doaj   +1 more source

Development of a Synthetic Hydrogel to Foster Microvascularization of an Endometriosis Microphysiological System

Advanced Healthcare Materials, EarlyView.
ABSTRACT The ascent of novel alternative methods in drug development spotlights the dual needs for improved biological fidelity to in vivo, along with reproducibility, especially in regulatory applications. The need for pre‐clinical models of patient‐derived endometriosis lesions motivates the development of a vascularizable, completely synthetic ...
Lauren Pruett, Laura Bahlmann, Ryan Ogi, Angela Jiao, Priyatanu Roy, Matthew Johnson, David Trumper, Linda Griffith   +7 more
wiley   +1 more source

Gravity-Inspired Graph Autoencoders for Directed Link Prediction

, 2019
Graph autoencoders (AE) and variational autoencoders (VAE) recently emerged as powerful node embedding methods. In particular, graph AE and VAE were successfully leveraged to tackle the challenging link prediction problem, aiming at figuring out whether ...
Hennequin, Romain, Limnios, Stratis, Salha, Guillaume, Tran, Viet Anh, Vazirgiannis, Michalis   +4 more
core  

Diels‐Alder Click Chemistry as a Dynamic‐Covalent Crosslinking Method in Spheroid‐Encapsulating Hydrogels for Cartilage Engineering

Advanced Healthcare Materials, EarlyView.
This research shows the development of hydrogels with Diels‐Alder click chemistry for engineering cartilage‐like tissue. The hydrogels support cartilage spheroids which could be cultured for at least 28 days. Furthermore, the spheroids showed a tendency to fuse together into a more consistent construct, and produced important components needed for ...
Sanne M. van de Looij, Antonia G. Vasilopoulou, Lennard Spauwen, Antoinette van den Dikkenberg, Jasmijn V. Korpershoek, Mylene de Ruijter, Jos Malda, Bas G. P. van Ravensteijn, Tina Vermonden   +8 more
wiley   +1 more source

A New 3D Colon on a Chip to Decipher the Influence of Mechanical Forces on the Physiological Cellular Ecosystem

Advanced Healthcare Materials, EarlyView.
To dissect how mechanical forces influence intestinal physiology, we developed a stretchable 3D colon‐on‐chip that integrates tunable topography, stiffness and peristalsis‐like motion within a physiologically relevant microenvironment. We showed that stretching is a dominant factor governing epithelial behavior, markedly enhancing proliferation and ...
Moencopi Bernheim‐Dennery, Lauriane Gérémie, Julie Brun, Lucas Chassatte, Giacomo Gropplero, Réda Bouras, Jieun Choo, Bertrand Cinquin, Alba Marcellan, Danijela Matic Vignjevic, Stéphanie Descroix   +10 more
wiley   +1 more source

Composing Knowledge Graph Embeddings via Word Embeddings

, 2019
Learning knowledge graph embedding from an existing knowledge graph is very important to knowledge graph completion. For a fact $(h,r,t)$ with the head entity $h$ having a relation $r$ with the tail entity $t$, the current approaches aim to learn low dimensional representations $(\mathbf{h},\mathbf{r},\mathbf{t})$, each of which corresponds to the ...
Ma, Lianbo, Sun, Peng, Lin, Zhiwei, Wang, Hui   +3 more
openaire   +2 more sources

ShallowBKGC: a BERT-enhanced shallow neural network model for knowledge graph completion [PDF]

PeerJ Computer Science
Knowledge graph completion aims to predict missing relations between entities in a knowledge graph. One of the effective ways for knowledge graph completion is knowledge graph embedding.
Ningning Jia, Cuiyou Yao
doaj   +2 more sources

A Data Driven Review of In Vitro Electrical and Mechanical Stimulation for Post‐Acute Phase Wound Healing

Advanced Healthcare Materials, EarlyView.
This review examines how in vitro electrical and mechanical stimulation modulates wound healing in fibroblasts and keratinocytes. Analyzing over 560 experimental data points, we relate stimulation parameters to proliferation and migration outcomes, evaluate platform designs, and highlight the need for multi‐parameter optimization to advance targeted ...
Matthew K. Burgess, Ellen F. Marsh, Veronica M. Lucian, Malavika Nair   +3 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source