Results 141 to 150 of about 19,877 (291)

The Gaussian Mutational Barebone Dragonfly Algorithm: From Design to Analysis [PDF]

, 2022
Yuan Li, Fangjun Kuang, Siyang Zhang, Huiling Chen   +3 more
openalex   +1 more source

Subterranean Mine Inspection Using the Prometheus Re‐Configurable Drone

Journal of Field Robotics, EarlyView.
ABSTRACT This paper describes the design, development, and real‐world testing of an autonomous drone for subterranean exploration, known as “Prometheus.” Driven by requirements from industry that the drone be able to be deployed through areas of restricted access, Prometheus was designed to be directly deployed through a 150 mm aperture.
Liam Brown, Robert Clarke, Ali Akbari, Ferdian Jovan, Jameel Marafie, Ognjen Marjanovic, Sara Bernardini, Tom Richardson, Simon Watson   +8 more
wiley   +1 more source

NDFF Dragonflies distribution Limburg

, 2018
Boena Van Noorden
openalex   +1 more source

Progress of MXenes‐based responsive materials for soft sensors and actuators

Responsive Materials, EarlyView.
MXene, a promising 2D material, excels at mimicking human sensing and feedback system, making it ideal for intelligent robots. This review first covers its structure, properties, and synthesis. It then summarizes recent MXene‐based sensors and actuator.
Peidi Zhou, Wenjie Yang, Yihan Qiu, Meiping Xu, Leiting Liao, Xinlei Gong, Chan Zheng, Minghua You, Cheng Zhang, Huamin Chen, Mingcen Weng   +10 more
wiley   +1 more source

Precision mRNA Delivery via Ultrasound‐Controlled Release Perfluorocarbon Emulsions: An Innovative Ultrasound Theranostic Strategy with 19F MRI Feasibility

Small, EarlyView.
A key challenge in advancing messenger RNA (mRNA) therapeutics in cardiovascular diseases lies in achieving controlled release at the precise site within the vasculature. This study presents the development of perfluorocarbon nanodroplets with exceptional theranostic potential, enabling real‐time tracking through ultrasound and fluorine‐19 (19F ...
Haikun Liu, Mark Louis P. Vidallon, Yuyang Song, Aidan P. G. Walsh, Henry Gordon, Shulei Ren, Pengkai Shi, Bangyan Xu, Mitchell J. Moon, Sylvain Trépout, Rico F. Tabor, Alexis I. Bishop, Ulrich Flögel, Karlheinz Peter, Xiaowei Wang   +14 more
wiley   +1 more source

First Fossil Dragonfly from India

, 2020
Manoshi Hazra, Taposhi Hazra, Subhankar Kumar Sarkar, Subir Bera, Mahasin Ali Khan   +4 more
openalex   +1 more source

Linking Viscosity and Droplet Microstructure in Liquid Metal Composites via 3D MicroCT Analysis

Small, EarlyView.
This work connects rheology and microstructure in liquid metal composites through 3D microCT imaging. Quantitative analysis of thousands of droplets reveals how liquid metal and fumed silica contents dictate droplet size, settling, and dispersion, providing design principles for processing‐structure control and advancing high‐performance ...
Hugh P. Grennan, Ohnyoung Hur, Michael D. Bartlett   +2 more
wiley   +1 more source

Advanced Characterization and Rejuvenation of End‐Of‐Life Lithium‐Ion Anodes: Toward the Development of a Green Upcycling Route

Small, EarlyView.
Green solvents (DI water or ascorbic acid) enable the regeneration of end‐of‐vehicle‐life battery anodes without delamination and re‐manufacture. Multimodal characterizations reveal several graphite microstructures and crystallography, and restored cycling performance.
Luke Sweeney, Alexander T. Sargent, Yuhang Dai, Shangwei Zhou, Jianuo Chen, Francesco Iacoviello, Rhodri Jervis, Phoebe K. Allan, Peter R. Slater, Charles Monroe, Paul A. Anderson, Paul R. Shearing, Wenjia Du   +12 more
wiley   +1 more source

Incorporating crystalline smart materials to fabricate 4D printed photomechanical actuators with photovoltaic performance

Smart Molecules, EarlyView.
A versatile 4D printed approach was developed to fabricate complex and refined photomechanical actuators using crystalline materials, including molecular crystals and covalent organic frameworks. The prepared smart actuators exhibited outstanding photomechanical and photovoltaic performance.
Yujie Liu, Jinjin Liu, Liqin Hao, En Lin, Jiaxi Wang, Tonghai Wang, Shubo Geng, Peng Cheng, Zhenjie Zhang   +8 more
wiley   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source