Results 61 to 70 of about 2,154,008 (376)

Electromagnetic machine learning for estimation and mitigation of mutual coupling in strongly coupled arrays

open access: yesICT Express, 2023
With the recent advancement in baseband integrated circuits and radio frequency (RF) technology, there is a strong demand to minimize the size of array-based microwave systems. However, array aperture miniaturization often leads to strong mutual coupling
Oluwole John Famoriji, Thokozani Shongwe
doaj   +1 more source

Entangling flux qubits with a bipolar dynamic inductance

open access: yes, 2004
We propose a scheme to implement variable coupling between two flux qubits using the screening current response of a dc Superconducting QUantum Interference Device (SQUID).
B. L. T. Plourde   +13 more
core   +1 more source

Fast Hardware Approach to Determining Mutual Coupling of Series–Series-Compensated Wireless Power Transfer Systems With Active Rectifiers

open access: yesIEEE transactions on power electronics, 2020
Maximum energy efficiency tracking of series–series-compensated wireless power transfer systems with active rectifiers require the information of mutual coupling coefficient or correlated variables, which are conventionally monitored based on the ...
Yun Yang, Siew-Chong Tan, S. Hui
semanticscholar   +1 more source

Class IIa HDACs forced degradation allows resensitization of oxaliplatin‐resistant FBXW7‐mutated colorectal cancer

open access: yesMolecular Oncology, EarlyView.
HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto   +13 more
wiley   +1 more source

The Mitigation of Mutual Coupling Effects in Multi-Beam Echosounder Calibration under Near-Field Conditions

open access: yesJournal of Marine Science and Engineering
The advancement of unmanned platforms is driving the miniaturization and cost reduction of the multi-beam echosounder (MBES). In the process of MBES array calibration, the mutual coupling significantly impacts the performance of parameter estimation.
Wanyuan Zhang   +5 more
doaj   +1 more source

Sparse Bayesian Learning Based Space-Time Adaptive Processing Against Unknown Mutual Coupling for Airborne Radar Using Middle Subarray

open access: yesIEEE Access, 2019
Sparse-recovery-based space–time adaptive processing (STAP) methods can exhibit superior clutter suppression performance with limited training data.
Zhihui Li   +4 more
doaj   +1 more source

From coupled elementary units to the complexity of the glass transition

open access: yes, 2010
Supercooled liquids display fascinating properties upon cooling such as the emergence of dynamic length scales. Different models strongly vary with respect to the choice of the elementary subsystems (CRR) as well as their mutual coupling.
Heuer, A., Rehwald, C., Rubner, O.
core   +1 more source

Modeling of cross-coupling magnetic saturation in signal-injection-based sensorless control of permanent-magnet brushless AC motors [PDF]

open access: yes, 2007
An improved brushless AC motor model is proposed for use in signal-injection-based sensorless control schemes by accounting for cross-coupling magnetic saturation between the - and -axes.
Bingham, Chris, Howe, D, Li, Y, Zhu, Z Q
core   +1 more source

Strength through diversity: how cancers thrive when clones cooperate

open access: yesMolecular Oncology, EarlyView.
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken   +3 more
wiley   +1 more source

On Network Science and Mutual Information for Explaining Deep Neural Networks

open access: yes, 2020
In this paper, we present a new approach to interpret deep learning models. By coupling mutual information with network science, we explore how information flows through feedforward networks.
Bhardwaj, Kartikeya   +4 more
core   +1 more source

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