Results 111 to 120 of about 437,099 (249)
This manuscript describes the cultivation of viable microvessels from cryopreserved human brain tissue. When embedded in hydrogels and cultured in microfluidic devices, these microvessels exhibit complex architectures reminiscent of arterioles and capillaries, can be perfused, and display intact barrier function. Collectively, these results demonstrate
Brian J. O'Grady +5 more
wiley +1 more source
A binary-domain recurrent-like architecture-based dynamic graph neural network
The integration of Dynamic Graph Neural Networks (DGNNs) with Smart Manufacturing is crucial as it enables real-time, adaptive analysis of complex data, leading to enhanced predictive accuracy and operational efficiency in industrial environments.
Zi-chao Chen, Sui Lin
doaj +1 more source
This work introduces photo‐crosslinkable tyraminated poly(vinyl alcohol)‐gelatin (PVA‐GT) hydrogels as tunable injectable platforms for tissue engineering and growth factor delivery applications. This schematic illustrates the two developed hydrogel formulations and the experimental workflow used to evaluate their physico‐chemical properties in vitro ...
Alessia Longoni +15 more
wiley +1 more source
Osteogenic‐angiogenic cross‐talk is a vital prerequisite for vascularized bone regeneration. In this study, we investigated the effects of siRNA‐mediated silencing of two inhibitory proteins, Chordin and WWP‐1, via CaP‐NP‐loaded gelatin microparticles in osteogenically differentiated microtissues.
Franziska Mitrach +7 more
wiley +1 more source
Human periosteum‐derived cell spheroids bioprinted at high density within a hyaluronic acid matrix promote fusion and hypertrophic cartilage formation in vitro. Early encapsulation enhances spheroid interaction and matrix maturation, generating scalable cartilage templates intended for endochondral bone regeneration.
Ane Albillos Sanchez +6 more
wiley +1 more source
Getting NBA Shots in Context: Analysing Basketball Shots with Graph Embeddings
Evaluating the quality of shots in basketball is crucial and requires considering the context in which they are taken. We introduce a graph neural network to process a graph based on player and ball tracking data to compute expected shot quality.
Schmid Marc +2 more
doaj +1 more source
Thermodynamics-Informed Graph Neural Networks
In this paper we present a deep learning method to predict the temporal evolution of dissipative dynamic systems. We propose using both geometric and thermodynamic inductive biases to improve accuracy and generalization of the resulting integration scheme. The first is achieved with Graph Neural Networks, which induces a non-Euclidean geometrical prior
Quercus Hernández +3 more
openaire +2 more sources
Thermal Processing Creates Water‐Stable PEDOT:PSS Films for Bioelectronics
Instead of using chemical cross–linkers, it is shown that PEDOT:PSS thin films for bioelectronics become water‐stable after a simple heat treatment. The heat treatment is compatible with a range of rigid and elastomeric substrates and films are stable in vivo for >20 days.
Siddharth Doshi +16 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
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 +19 more
wiley +1 more source

