Gao, Shang-Hua Cheng, Ming-Ming Zhao, Kai Zhang, Xin-Yu Yang, Ming-Hsuan Torr, Philip
Published in
IEEE transactions on pattern analysis and machine intelligence
Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate stronger multi-scale representation ability, leading to consistent performance gains on a wide range of applications. However, most existing methods represent the multi-s...
Li, Jixin Yang, Caili Wang, Yan
Published in
Molecular medicine reports
MicroRNA‑126 (miR‑126) has been reported to be implicated in the pathogenesis of cerebral ischemia/reperfusion (I/R) injury; however, its role is still unclear and requires further investigation. The objective of the present study was to determine the neuroprotective effect of miR‑126 overexpression against oxygen‑glucose deprivation/reoxygenation ...
Leroy, Pascal Ernst, Damien Geurts, Pierre Louppe, Gilles Pisane, Jonathan Sabatelli, Matthia
This paper introduces four new algorithms that can be used for tackling multi-agent reinforcement learning (MARL) problems occurring in cooperative settings. All algorithms are based on the Deep Quality-Value (DQV) family of algorithms, a set of techniques that have proven to be successful when dealing with single-agent reinforcement learning probl...
Sun, Rui Liang, Hui Guo, Huan Wang, Zhu Deng, Qiong
Published in
Molecular medicine reports
The present study aimed to investigate the expression of ATPase Ca++ transporting plasma membrane 4 (PMCA4) in mouse testis and to determine its role in spermatogenesis. Reverse transcription‑quantitative PCR, western blotting and immunofluorescence were performed to evaluate the expression levels of PMCA4 in mouse testes at various weeks postnatal...
Marmin, Arthur Castella, Marc Pesquet, Jean-Christophe Duval, Laurent
We propose a method to reconstruct sparse signals degraded by a nonlinear distortion and acquired at a limited sampling rate. Our method formulates the reconstruction problem as a nonconvex minimization of the sum of a data fitting term and a penalization term. In contrast with most previous works which settle for approximated local solutions, we s...
Bandyopadhyay, Riddhi Chasapis, Alexandros Gershman, D. J. Giles, B. L. Russell, C. T. Strangeway, R. J. Contel, O. Le Argall, M. R. Burch, J. L.
Earth's magnetotail region provides a unique environment to study plasma turbulence. We investigate the turbulence developed in an exhaust produced by magnetic reconnection at the terrestrial magnetotail region. Magnetic and velocity spectra show broad-band fluctuations corresponding to the inertial range, with Kolmorogov $-5/3$ scaling, indicative...
Chang, Jui-Yung Taylor, Sydney McBurney, Ryan Ying, Xiaoyan Allu, Ganesh Chen, Yu-Bin Wang, Liping
Published in
iScience
This work experimentally studies a silicon-cored tungsten nanowire selective metamaterial absorber to enhance solar-thermal energy harvesting. After conformally coating a thin tungsten layer about 40 nm thick, the metamaterial absorber exhibits almost the same total solar absorptance of 0.85 as the bare silicon nanowire stamp but with greatly reduc...
Akemann, Gernot Baake, Michael Chakarov, Nayden Krüger, Oliver Mielke, Adam Ottensmann, Meinolf Werdehausen, Rebecca
Published in
Journal of theoretical biology
A deeper understanding of the processes underlying the distribution of animals in space is crucial for both basic and applied ecology. The Common buzzard (Buteo buteo) is a highly aggressive, territorial bird of prey that interacts strongly with its intra- and interspecific competitors. We propose and use random matrix theory to quantify the streng...
Gebregiorgis, Teklit
Esteban, Olivia Mateo, Javier Casas, Paula Lara, Javier Ascaso, Javier