Results 111 to 120 of about 5,663,035 (310)

Bioprinting High‐Cell‐Density Cardiac Tissue Constructs With Sustained Contractile Function

open access: yesAdvanced Healthcare Materials, EarlyView.
Contractile cardiomyocytes in 3D culture provide insights into the behavior of the heart. Combining a 3D bioprinting approach with a multi‐electrode array allows the development of the 3D culture to be monitored over time, and matured cultures allow the effect of drugs on cardiac function to be modelled, replicating effects seen in clinical application.
Priscila Melo   +8 more
wiley   +1 more source

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
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

Scheduling with Communication Delay

open access: yes, 2007
hanbook on ...
Giroudeau, Rodolphe, König, Jean-Claude
openaire   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

open access: yesAdvanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades   +7 more
wiley   +1 more source

Dynamic Event-Triggering Control for Virtual Coupling of Virtual Track Trains Considering Communication Delay

open access: yesKongzhi Yu Xinxi Jishu
Virtual coupling technology, achieved through inter-train cooperative control in wireless communication networks, can effectively manage both periodic and random passenger flow.
ZHOU Wenqing   +4 more
doaj  

Differential protection of distribution network based on 5G and particle swarm algorithm

open access: yesDiance yu yibiao
Differential protection has excellent selectivity and quick motion, which is suitable for distribution network protection scenarios of multi-source networks.
HAO Hanbing   +4 more
doaj   +1 more source

Gate‐Tunable Floquet Weyl Photon Emission from Topological Dirac Semimetal Cd3As2

open access: yesAdvanced Materials, EarlyView.
We report experimental demonstration of Floquet band engineering in a 3D Dirac semimetal. Circularly polarized light breaks the time reversal symmetry and transforms Cd3As2 into a Floquet–Weyl phase, splitting Dirac nodes into chirality‐opposite Weyl nodes with nonzero Berry curvature.
Sobhan Subhra Mishra   +4 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

Prediction of Hydrogen Production from Solid Oxide Electrolytic Cells Based on ANN and SVM Machine Learning Methods

open access: yesAtmosphere
In recent years, the application of machine learning methods has become increasingly common in atmospheric science, particularly in modeling and predicting processes that impact air quality. This study focuses on predicting hydrogen production from solid
Ke Chen   +8 more
doaj   +1 more source

Home - About - Disclaimer - Privacy