Complexes of vertebrate TMC1/2 and CIB2/3 proteins form hair-cell mechanotransduction cation channels

Kavli Affiliate: Kathleen Cullen | Authors: Arnaud P. J. Giese, Wei-Hsiang Weng, Katie S Kindt, Vanessa H. H. Chang, Jonathan S Montgomery, Evan M. Ratzan, Alisha J. Beirl, Roberto Aponte Rivera, Jeffrey M. Lotthammer, Sanket Walujkar, Mark P. Foster, Omid A. Zobeiri, Jeffrey R. Holt, Saima Riazuddin, Kathleen E. Cullen, Marcos Sotomayor and Zubair M […]


Continue.. Complexes of vertebrate TMC1/2 and CIB2/3 proteins form hair-cell mechanotransduction cation channels

Substrate stiffness modulates the emergence and magnitude of senescence phenotypes in dermal fibroblasts

Kavli Affiliate: Denis Wirtz | Authors: Bartholomew Starich, Fan Yang, Derin Tanrioven, Heng-Chung Kung, Joanne Baek, Praful R. Nair, Pratik Kamat, Nico Macaluso, Joon Eoh, Kyu Sang Han, Luo Gu, Jeremey Walston, Sean Sun, Pei-Hsun Wu, Denis Wirtz and Jude M. Phillip | Summary: Cellular senescence is a major driver of aging and disease. Here […]


Continue.. Substrate stiffness modulates the emergence and magnitude of senescence phenotypes in dermal fibroblasts

Scaling up a sign-ordered Kitaev chain without magnetic flux control

Kavli Affiliate: Michael Wimmer | First 5 Authors: Chun-Xiao Liu, Sebastian Miles, Alberto Bordin, Sebastiaan L. D. ten Haaf, Grzegorz P. Mazur | Summary: Quantum dot-superconductor arrays have emerged as a new and promising material platform for realizing topological Kitaev chains. So far, experiments have implemented a two-site chain with limited protection. Here we propose […]


Continue.. Scaling up a sign-ordered Kitaev chain without magnetic flux control

Scaling up a sign-ordered Kitaev chain without magnetic flux control

Kavli Affiliate: Michael Wimmer | First 5 Authors: Chun-Xiao Liu, Sebastian Miles, Alberto Bordin, Sebastiaan L. D. ten Haaf, Grzegorz P. Mazur | Summary: Quantum dot-superconductor arrays have emerged as a new and promising material platform for realizing topological Kitaev chains. So far, experiments have implemented a two-site chain with limited protection. Here we propose […]


Continue.. Scaling up a sign-ordered Kitaev chain without magnetic flux control

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification