Results 61 to 70 of about 22,571 (199)

KCNB1‐Leptin receptor complexes couple electric and endocrine function in the melanocortin neurons of the hypothalamus

open access: yesThe FASEB Journal, Volume 38, Issue 20, 31 October 2024.
The voltage‐gated K+ (Kv) channel KCNB1 is expressed in the hypothalamus, mainly in the arcuate nucleus, where it forms a complex with the leptin receptor. Mice lacking the KCNB1 channel (NULL) exhibit dysregulated calorie intake—a function mediated by the arcuate nucleus—along with altered leptin metabolism and signaling.
Elena Forzisi‐Kathera‐Ibarra   +12 more
wiley   +1 more source

A novel sparse recovery space‐time adaptive processing algorithm using the log‐sum penalty to approximate the ℓ0 − norm penalty

open access: yesIET Radar, Sonar &Navigation, Volume 18, Issue 9, Page 1515-1530, September 2024.
A novel sparse recovery space‐time adaptive processing algorithm using the more sparsity‐encouraging log‐sum penalty to approximate the ℓ0‐norm Penalty has been developed. The newly proposed algorithm shows fast convergence speed, excellent clutter suppression and target detection performance. In addition, a closed‐form analytic solution is provided in
Kun Liu, Tong Wang
wiley   +1 more source

A high precision estimation algorithm for multi‐channel wide‐area surveillance ground moving target indication mode based on maximum likelihood method

open access: yesIET Radar, Sonar &Navigation, Volume 18, Issue 9, Page 1431-1443, September 2024.
A high precision estimation algorithm for ground moving targets in multi‐channel wide‐area surveillance ground moving target indication systems is proposed based on maximum likelihood method. The main concept of this novel algorithm is to estimate the azimuth angle of the detected targets using maximum likelihood method with the space steering vector ...
He Yan   +5 more
wiley   +1 more source

Local Degree of Freedom of Clutter for Reduced-Dimension Space-Time Adaptive Processing with MIMO Radar

open access: yesInternational Journal of Antennas and Propagation, 2018
Degree of freedom (DOF) of clutter in the reduced-dimension (RD) domain, which is called local DOF (LDOF), is of great importance for RD MIMO-STAP (space-time adaptive processing for multiple-input multiple-output radar) algorithms.
Yiduo Guo, Jian Gong, Yu Xiao
doaj   +1 more source

Space-Time Adaptive Processing for Airborne Radars With Space-Time Coprime Sampling Structure

open access: yesIEEE Access, 2018
Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom with low cost.
Xiaoye Wang   +4 more
doaj   +1 more source

Fostering online interaction in blended learning through social presence and convergence: A systematic literature review

open access: yesJournal of Computer Assisted Learning, Volume 40, Issue 4, Page 1712-1726, August 2024.
Abstract Background Online interaction in blended learning is leveraged through social presence and convergence. However, little systematic work currently exists on how researchers have explored these challenges in higher education institutions and no studies have synthesised these challenges.
Nanda van der Stap   +3 more
wiley   +1 more source

Exploiting persymmetry for JDL-STAP

open access: yesThe Journal of Engineering, 2019
Joint domain localisation (JDL) is a popular reduced-dimension space-time adaptive processing (STAP) technique for clutter suppression in an air-borne radar system.
Sha Wang   +5 more
doaj   +1 more source

Three-dimensional sparse recovery space-time adaptive processing for airborne radar

open access: yesThe Journal of Engineering, 2019
Conventional 3-dimensional (3D) space-time adaptive processing (STAP) has achieved good performance for non-stationary clutter suppression. However, the performance of 3D STAP rapidly degrades when applied to heterogeneous clutter environment due to the ...
Keqing Duan   +4 more
doaj   +1 more source

ePosters Virtual

open access: yes
European Journal of Neurology, Volume 32, Issue S1, June 2025.
wiley   +1 more source

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