Results 141 to 150 of about 144,334 (313)

Nigra‐Subthalamic Dopaminergic Circuitry Modulates and Represents Distinct Pain Modality in Physiological and Pain States in Mice

Advanced Science, EarlyView.
Nigral dopaminergic (DA) neurons modulate and represent pain with a preference to a particular modality (mechanical) and laterality (contralateral), which are controlled by nigral GABAergic neurons. The pain modulation is mimicked by the nigro‐subthalamic projection and its downstream neurons, involving D2‐like receptors.
Ying Ji, Shuyi Li, Jiaqi Zhang, Xiang‐Ying Xu, Cui Yin, Mu Niu, Danyang Liu, Yanyu Jiang, Yong Niu, Su Liu, Bin Zhang, Guiyun Cui, Chunyi Zhou, Cheng Xiao   +13 more
wiley   +1 more source

Autocorrelation Based SNR Estimation

, 2007
Signal-to-noise ratio (SNR) estimation is one of the important research topics in wireless communications. In the receiver, many algorithms require SNR information to achieve optimal performance.
Huang, Yao-pseng
core  

The thresholds of SNR.

, 2016
The thresholds of SNR.
Cui Su (840635), Yongwang Li (1470322), Zhenhu Liang (840634), Xiaoli Li (279663), Duan Li (286509), Mauro Ursino (144905)   +5 more
core   +1 more source

3D Large‐Scale Subwavelength‐Resolution Sound Sheet Tomography Based on an Active and Programmable Circular Meta‐Array

Advanced Science, EarlyView.
A programmable 2048‐element circular ultrasound array combined with a compact acoustic lens produces a thin “sound sheet” over a large field of view, and records echoes with wide angular diversity across the ring aperture. Coherence‐enhanced beamforming converts full‐matrix data into high‐contrast tomographic slices, delivering near‐diffraction‐limited
Qiu‐De Zhang, Zi‐Bin Lin, Zhuo Chen, Zhao‐Hui Liu, Jin‐Lian He, Jun‐Jie Song, Long‐Sheng Zeng, Liang Zhou, Ming‐Yue Ding, Yu‐Gui Peng, Ming Yuchi, Xue‐Feng Zhu   +11 more
wiley   +1 more source

Estimated phantom fODF for different SNR.

, 2016
Yellow boxes highlight the effect of noise level. Top left: ROI. ROI magnification for: SNR = 30 (a), SNR = 20 (b), and SNR = 15 (c). B-value = 1000 s mm2.
Jan Aelterman (286985), Alexander Leemans (139263), Daniele Perrone (2548048), Wilfried Philips (286992), Jan Sijbers (626360), Timo Roine (2548042), Ben Jeurissen (139269), Aleksandra Pizurica (2548045)   +7 more
core   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

An Improved SNR Estimator for Speech Enhancement

, 2008
In this paper, we propose an MMSE a priori SNR estimator for speech enhancement. This estimator has similar benefits to the well-known decision-directed approach, but does not require an ad-hoc weighting factor to balance the past a priori SNR and ...
Michael T. Johnson, Johnson, Michael T., Ren, Yao, Yao Ren   +3 more
core   +1 more source

Comparing image compression methods in biomedical applications

Advances in Electrical and Electronic Engineering, 2004
Compression methods suitable for image processing are described in this article in biomedical applications. The compression is often realized by reduction of irrelevance or redundancy.
Libor Hargas, Miroslav Hrianka
doaj  

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Efficiency energy analysis for 6G communication systems using intelligent reflecting surface architecture

Радіоелектронні і комп'ютерні системи
The subject of this 6G communication system research is expected to form a hyper-connected network in which various electronic devices can connect continuously without interruption. Several technologies have been built to support 6G communication systems,
Hubbul Walidainy, Siti Raihan, Ramzi Adriman, Yuwaldi Away, Nasaruddin Nasaruddin   +4 more
doaj   +1 more source