Results 91 to 100 of about 879,091 (323)

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Boron‐Doped Nano‐Crystalline Coated Carbon Fibers for Phasic Dopamine Sensing

Advanced Healthcare Materials, EarlyView.
This uniform coating presents a mix of graphitic and diamond‐like carbon to create a mechanically and electrically robust alternative for the electrochemical detection of dopamine. The electrodes in this work possess the equivalent sensitivity to the state‐of‐the‐art FSCV dopamine detecting electrodes, whilst demonstrating an ability to withstand ...
Simon J. Higham, Juan M. Rojas Cabrera, Youngjong Kwak, Lydia Hong, Andre Chambers, Athavan Nadarajah, Sorel E. De Leon, Young Jun Jung, Negin Jalilinejad, Charles Blaha, Dong Pyo Jang, Yoonbae Oh, Kendall Lee, Alastair Stacey, Shaun L. Cloherty, Michael R. Ibbotson, David J. Garrett, Steven Prawer, Hojin Shin, Wei Tong   +19 more
wiley   +1 more source

Unsupervised Person Reidentification Using Stripe-Driven Fusion Transformer Network

IET Software
In recent years, some methods utilize a transformer as the backbone to model the long-range context dependencies, reflecting a prevailing trend in unsupervised person reidentification (Re-ID) tasks.
Zeyu Zang, Yang Liu, Shuang Liu, Zhong Zhang, Xinshan Zhu   +4 more
doaj   +1 more source

Real‐Time 3D Ultrasound Imaging with an Ultra‐Sparse, Low Power Architecture

Advanced Healthcare Materials, EarlyView.
This article presents a novel, ultra‐sparse ultrasound architecture that paves the way for wearable real‐time 3D imaging. By integrating a unique convolutional array with chirped data acquisition, the system achieves high‐resolution volumetric scans at a fraction of the power and hardware complexity.
Colin Marcus, Md Osman Goni Nayeem, Aastha Shah, Jason Hou, Shrihari Viswanath, Maya Eusebio, David Sadat, Anantha P. Chandrakasan, Tolga Ozmen, Canan Dagdeviren   +9 more
wiley   +1 more source

Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks

IEEE Access, 2018
In this paper, we propose a novel label distribution approach named part-based gradation regularization (PGR) for pedestrian retrieval in sensor networks.
Shuang Liu, Xiaolong Hao, Zhong Zhang
doaj   +1 more source

Power Control for Two-Way AF Relay Assisted D2D Communications Underlaying Cellular Networks

IEEE Access, 2020
As a key technology of the 5G communication system, device-to-device (D2D) communications have drawn significant research interests. However, the advantage of D2D communications may be limited when D2D users are far away from each other or the ...
Liang Han, Ranran Zhou, Yupeng Li, Bo Zhang, Xin Zhang   +4 more
doaj   +1 more source

Electro‐Stimulated Graphene‐Polymer Nanocomposites Enable Wearable Patches With Feedback‐Controlled Drug Release

Advanced Healthcare Materials, EarlyView.
xx xx. ABSTRACT Stimuli‐responsive nanomaterials capable of spatiotemporal control over drug release are of nanocomposite patch (“e‐Medi‐Patch”) engineered from biodegradable polycaprolactone (PCL), graphene nanoplatelets, and a redox‐active therapeutic, niclosamide. The hierarchical composite integrates π‐π interactions between aromatic drug molecules
Santosh K. Misra, Ketan Dighe, Pranay Saha, Teresa Aditya, Muhammad S. Khan, Maha Alafeef, Parikshit Moitra, Dipanjan Pan   +7 more
wiley   +1 more source

Synthetical application of multi-feature map detection and multi-branch convolution

EURASIP Journal on Wireless Communications and Networking, 2019
Two methods for improving the detection performance of neural networks are introduced in this paper, multi-feature map detection and multi-branch convolution structure.
Jin Chen, Rong Liu, Ying Tong, Hanling Wu   +3 more
doaj   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

Salient Dual Activations Aggregation for Ground-Based Cloud Classification in Weather Station Networks

IEEE Access, 2018
Since appearances of clouds are always changeable, ground-based cloud classification is still in urgent need of development in weather station networks. Many existing methods resort to convolutional neural networks to improve the classification accuracy.
Zhong Zhang, Donghong Li, Shuang Liu
doaj   +1 more source