Kavli Affiliate: Daeyeol Lee | Authors: James Webb, Paul Steffan, Benjamin Y Hayden, Daeyeol Lee, Caleb Kemere and Matthew McGinley | Summary: Foraging theory has been a remarkably successful approach to understanding the behavior of animals in many contexts. In patch-based foraging contexts, the marginal value theorem (MVT) shows that the optimal strategy is to […]
Kavli Affiliate: Feng Wang | First 5 Authors: J. -C. Zhang, B. -H. Sun, I. Tanihata, R. Kanungo, C. Scheidenberger | Summary: We report the charge-changing cross sections ($sigma_{text{cc}}$) of 24 $p$-shell nuclides on both hydrogen and carbon at about 900$A$ MeV, of which $^{8,9}$Li, $^{10textendash12}$Be, $^{10,14,15}$B, $^{14,15,17textendash22}$N and $^{16}$O on hydrogen and $^{8,9}$Li on […]
Kavli Affiliate: Elizabeth Hillman | Authors: Sam E. Benezra, Kripa B. Patel, Citlali Pérez Campos, Elizabeth M. C. Hillman and Randy M Bruno | Summary: Learning alters cortical representations and improves perception. Apical tuft dendrites in Layer 1, which are unique in their connectivity and biophysical properties, may be a key site of learning-induced plasticity. […]
Kavli Affiliate: Lihong V. Wang | First 5 Authors: Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle | Summary: Photoacoustic tomography (PAT) is a rapidly-evolving medical imaging modality that combines optical absorption contrast with ultrasound imaging depth. One challenge in PAT is image reconstruction with inadequate acoustic signals due to limited sensor […]
Kavli Affiliate: Jing Wang | First 5 Authors: Judy X Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee Chung Liew | Summary: Classifying hyperspectral images is a difficult task in remote sensing, due to their complex high-dimensional data. To address this challenge, we propose HSIMamba, a novel framework that uses bidirectional reversed convolutional neural […]
Kavli Affiliate: Biao Huang | First 5 Authors: Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang | Summary: This paper provides insights into deep reinforcement learning (DRL) for process control from the perspective of transfer learning. We analyze the challenges of applying DRL in the field of process industries and the necessity of […]
Kavli Affiliate: Biao Huang | First 5 Authors: Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang | Summary: This paper provides insights into deep reinforcement learning (DRL) for process control from the perspective of transfer learning. We analyze the challenges of applying DRL in the field of process industries and the necessity of […]
Kavli Affiliate: Xian Chen | First 5 Authors: Haijie Xu, Xiaochen Xian, Chen Zhang, Kaibo Liu, | Summary: Sequential change point detection for multivariate autocorrelated data is a very common problem in practice. However, when the sensing resources are limited, only a subset of variables from the multivariate system can be observed at each sensing […]
Kavli Affiliate: Kathleen Cullen | Authors: Kazuya Ono, Amandine Jarysta, Natasha Hughes, Alma Jukic, Vanessa H.H. Chang, Michael R Deans, Ruth Anne Eatock, Kathleen E Cullen, Katie S Kindt and Basile Tarchini | Summary: Otolith organs in the inner ear and neuromasts in the fish lateral-line harbor two populations of hair cells oriented to detect […]
Kavli Affiliate: Masahiro Takada | First 5 Authors: Ryo Terasawa, Xiangchong Li, Masahiro Takada, Takahiro Nishimichi, Satoshi Tanaka | Summary: The baryonic feedback effect is considered as a possible solution to the so-called $S_8$ tension indicated in cosmic shear cosmology. The baryonic effect is more significant on smaller scales, and affects the cosmic shear two-point […]