Results 141 to 150 of about 68,766 (311)

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Quantitative analysis of emphysema and airway measurements according to iterative reconstruction algorithms: comparison of filtered back projection, adaptive statistical iterative reconstruction and model-based iterative reconstruction

, 2014
To evaluate filtered back projection (FBP) and two iterative reconstruction (IR) algorithms and their effects on the quantitative analysis of lung parenchyma and airway measurements on computed tomography (CT) images.
Goo, Jin Mo, Shim, Mi-Suk, Park, Sang Joon, Lee, Chang Hyun, Park, Chang Min, Choo, Ji Yung   +5 more
core   +1 more source

Research on γ Spectrum Reconstruction Based on Mi-Gold Algorithm

Yuanzineng kexue jishu
To address the challenges faced by the Gold algorithm in reconstructing the low-energy resolution γ spectrum, such as the high number of iterations and the low counting rate for weak peaks, an iterative algorithm framework based on the Gold ...
LIANG Wenchao1, 2, ZHANG Jiangmei2, WANG Jiaqi1, 2
doaj   +1 more source

A Dual‐Bioresponsive and Programmable Microneedle Matrix as a Bioinspired Coupler for Orchestrating Diabetic Bone Regeneration

Advanced Materials, EarlyView.
This project developed a smart bandage‐like patch (a microneedle array) for repairing diabetic bone damage. It intelligently senses signals from infection and inflammation, then releases its medicines in a specific, timed sequence: first an antibacterial agent, then an anti‐inflammatory agent, and finally growth factors.
Yu Wang, Rui Chen, Yu Chen, Haowen Lu, Yuchen Qian, Zhiheng Gao, Zheming Shen, Xiaofei Zheng, Huilin Yang, Jun Zou, Yusen Qiao   +10 more
wiley   +1 more source

Iterative reconstruction from under-sampled Computed Tomography data

, 2022
In X-ray computed tomography (XCT), an X-ray beam of intensity I0 is transmitted through an object and its attenuated intensity I is measured when it exits the object.
Magkos, Sotirios
core  

Enhanced Photocatalytic H2O2 Production on Terpyridine‐Based Acrylonitrile‐Linked Covalent Organic Frameworks with Asymmetric Localized Electron Distribution

Advanced Materials, EarlyView.
Asymmetric localized electron distribution has been optimized in covalent organic frameworks to enhance *O2 adsorption and facilitate charge transfer, boosting photocatalytic two‐electron transfer oxygen reduction toward H2O2 production from water and air.
Qinglan Zhao, Mengmeng Ce, Hengtao Lei, Tianyun Jin, Zhipeng Xie, Yushen Liu, Shengyi Yang, Xinwen Ou, Mohammad Farhadpour, Song‐Zhu Kure‐Chu, Xuan‐He Liu, Liang Zhang, Jimmy C. Yu   +12 more
wiley   +1 more source

A hybrid 3-D reconstruction/registration algorithm for correction of head motion in emission tomography

, 2002
Even with head restraint, small head movements can occur during data acquisition in emission tomography that are sufficiently large to result in detectable artifacts in the final reconstruction.
Hutton, BF, Fulton, RR, Lau, YH, Skerrett, DW, Kyme, AZ   +4 more
core  

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

Advanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

Iterative sparse reconstruction of spectral domain OCT signal

, 2014
We propose and study an iterative sparse reconstruction for Fourier domain optical coherence tomography (FD OCT) image by solving a constrained optimization problem that minimizes L-1 norm. Our method takes the spectral shape of the OCT light source into
Liu, Xuan, Kang, Jin U.
core   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source