Results 111 to 120 of about 496,863 (282)

Unlocking Photodetection Mode Switching from a Simple Lateral Design

Advanced Functional Materials, EarlyView.
A simple lateral 2D perovskite photodetector capable of switching among transient, continuous, and dual transient/continuous photoresponse modes is achieved by integrating photoconductive effects with capacitive coupling from the SiO2/Si substrate. Such light‐programmable photodetection mode switching enables triple‐channel information transmission and
Zijun (June) Yong, Keng‐Te Lin, Joel van Embden, Taimur Ahmed, Yumeng Du, Dashen Dong, Yiwen Mai, Junlin Lu, Sumeet Walia, Baohua Jia, Tianyi Ma   +10 more
wiley   +1 more source

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges

, 2018
High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services.
Buyya, Rajkumar, Calheiros, Rodrigo N., Cunha, Renato L. F., Netto, Marco A. S., Rodrigues, Eduardo R.   +4 more
core   +1 more source

Graphene Nanosheet‐Based Mixed Proton‐Electron Conducting Membranes for Efficient Hydrogen Purification

Advanced Functional Materials, EarlyView.
A monolayer graphene/phosphoric‐acid mixed proton‐electron conducting membrane combines proton‐conducting nanoconfined acid channels with electron‐conducting graphene nanosheets for efficient high‐temperature hydrogen purification. The membrane achieves nearly 100% H2/CO2 selectivity and 69 GPU hydrogen permeance at 250°C, arising from synergistic ...
Kaiqiang He, Fanmengjing Wang, Dehua Dong, Yuan Kang, Zhikao Li, Jacek J. Jasieniak, Paul A. Webley, Douglas R. MacFarlane, Huanting Wang   +8 more
wiley   +1 more source

Style-Based Tree GAN for Point Cloud Generator

IEEE Access
Point cloud generation and representation is important in industry areas. Generating and editing high quality 3D shapes is challenging work in deep learning. Inspired by StyleGAN, a style based generative adversarial networks is proposed to generate high
Yang Shen, Hao Xu, Yanxia Bao, Zhengnan Xu, Yuanhu Gu, Jiang Lu, Zhen Ying, Kenan Lou   +7 more
doaj   +1 more source

Coacervates Made of Elastin‐Like Polypeptides Fused with Melanocyte‐Stimulating Hormone and Monocyte Chemoattractant Protein Enhance Skin Wound Healing in Spinal Cord‐Injured Mice

Advanced Healthcare Materials, EarlyView.
Pressure skin wounds are frequent complications after spinal cord injury (SCI), with impaired healing due to vascular and immune deficits. Elastin‐like polypeptides (ELP) fused to α‐MSH (MSH‐ELP) or MCP‐1 (MCP‐ELP) are developed and tested on these wounds. The resulting nanoparticles are non‐toxic and bioactive, and they enhance macrophage recruitment,
Suneel Kumar, Dhruv Patel, Greeshma Manjunath, Shashank Madhavan, Ashley Mathew, Dnyaneshwari Rananavare, Jahnavi Shah, Francois Berthiaume   +7 more
wiley   +1 more source

Refining the Joint 3D Processing of Terrestrial and UAV Images Using Quality Measures

Remote Sensing, 2020
The paper presents an efficient photogrammetric workflow to improve the 3D reconstruction of scenes surveyed by integrating terrestrial and Unmanned Aerial Vehicle (UAV) images.
Elisa Mariarosaria Farella, Alessandro Torresani, Fabio Remondino   +2 more
doaj   +1 more source

Cirrus cloud model parameterizations: Incorporating realistic ice particle generation [PDF]

Recent cirrus cloud modeling studies have involved the application of a time-dependent, two dimensional Eulerian model, with generalized cloud microphysical parameterizations drawn from experimental findings.
Dodd, G. C., Sassen, Kenneth, Starr, David OC.   +2 more
core   +1 more source

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

Advanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi, Naseeh Backer Kannanthodi, Alice Nicole Casling, Babar Ali, Samira Lakouraj Mansouri, Alessandro Giuseppe D'aloia, Hossein Cheraghi Bidsorkhi, Maria Sabrina Sarto   +7 more
wiley   +1 more source

PointRegGPT: Boosting 3D Point Cloud Registration Using Generative Point-Cloud Pairs for Training

Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from domain gaps. In this work, we present PointRegGPT, boosting 3D point cloud registration using generative point-cloud pairs for training.
Suyi Chen, Hao Xu, Haipeng Li, Kunming Luo, Guanghui Liu, Chi-Wing Fu, Ping Tan, Shuaicheng Liu   +7 more
openaire   +2 more sources

3D mesh generation from aerial LiDAR point cloud data [PDF]

, 2014
Three dimensional urban scene modelling became important issue in the last few years. Beside visual experience, 3D city modelling has gained a significant function in diverse analysing tasks, however the amount of data requires a high level of automation
Benedek, Csaba, Polcz, Péter
core