Results 101 to 110 of about 774,525 (334)
Bioinspired Stabilization of Fluorescent Au@SiO2 Tracers for Multimodal Biological Imaging
This study demonstrates a bioinspired stabilization strategy for fluorescent gold‐silica nanoparticles. Inspired by natural biosilica maturation, high‐temperature calcination transforms the silica shells, preventing dissolution in cell culture media and intracellular environments.
Wang Sik Lee +5 more
wiley +1 more source
Physical Layer Service Integration in 5G: Potentials and Challenges
High transmission rate and secure communication have been identified as the key targets that need to be effectively addressed by fifth generation wireless systems.
Weidong Mei +3 more
doaj +1 more source
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
Nanothermometry in Living Cells: Physical Limits, Conceptual and Material Challenges
Heat and temperature are fundamental to life. When nanothermometers began probing regions as small as a living cell, they triggered controversial claims of large intracellular temperature gradients. We review physical constraints energy‐conservation, entropy production, thermodynamic fluctuations, and molecular dynamics.
Taras Plakhotnik
wiley +1 more source
Secrecy capacity analysis of MISO system with artificial noise
Adding artificial noise in the MISO system was an effective method to improve the security.The transmit power allocation and artificial noise generation was mainly discussed.An artificial noise model of MISO system was presented,in which the artificial ...
Jiang JI, Liang JIN, Kai-zhi HUANG
doaj +2 more sources
Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition. [PDF]
Zulfiqar R +5 more
europepmc +1 more source
Noise increases the correspondence between artificial and human vision
The best performing computer vision systems are based on deep neural networks (DNNs). A study in this issue of PLOS Biology shows that DNNs trained on noisy stimuli are better than standard DNNs at mirroring both human behavioral and neural visual responses.
openaire +5 more sources
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley +1 more source
The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm [PDF]
Feng Su +3 more
openalex +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source

