Kavli Affiliate: Xingde Li | Authors: Fengquan Liu and Xingde Li | Summary: Dispersion mismatch in optical coherence tomography (OCT) is typically addressed through either physical or digital compensation. In this study, we investigate the impact of dispersion on OCT detection sensitivity and compare the effectiveness of physical and digital compensation across varying degrees of […]
Kavli Affiliate: Alexandra Nelson and Anatol Kreitzer | Authors: Katerina L Rademacher, Zak Doric, Dominik Haddad, Aphroditi Mamaligas, Szu-Chi Liao, Rose Creed, Kohei Kano, Zac Chatterton, Yuhong Fu, Joseph H Garcia, Victoria Vance, Yoshitaka Sei, Anatol Kreitzer, Glenda Halliday, Alexandra Nelson, Elyssa Margolis and Ken L Nakamura | Summary: Parkinson’s disease (PD) is characterized by […]
Kavli Affiliate: Jyoti Mishra and Dhakshin Ramanathan | Authors: Morteza Salimi, Milad Nazari, Jonathan Mishler, Mishra Jyoti and Dhakshin Ramanathan | Summary: Background Repetitive brain stimulation is hypothesized to bidirectionally modulate excitability, with low-frequency trains decreasing and high-frequency (>5 Hz) trains increasing activity. Most insights on the neuroplastic effects of repetitive stimulation protocols stem from […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Yuhao Du, Xiaoqi Jiao, Yiwen Guo, Yuege Feng | Summary: Selecting high-quality and diverse training samples from extensive datasets plays a crucial role in reducing training overhead and enhancing the performance of Large Language Models (LLMs). However, existing studies fall short in assessing the overall […]
Kavli Affiliate: Ting Xu | First 5 Authors: Ran Hao, Yanlin Xiang, Junliang Du, Qingyuan He, Jiacheng Hu | Summary: This study proposed a hybrid model of a convolutional neural network (CNN) and a Transformer to predict and diagnose heart disease. Based on CNN’s strength in detecting local features and the Transformer’s high capacity in […]
Kavli Affiliate: Kevin Bender | Authors: Mitchell J Vaughn, David S Uygun, Radhika Basheer, Kevin Bender and Julie Haas | Summary: Electrical synapses are expressed ubiquitously across the brain and are crucial components of active neural circuitry and connectomes. Identification of coupled networks in living tissue is limited by technical demands of multiplexed recordings, and […]
Kavli Affiliate: Vincent Ferrera | Authors: Alec J. Batts, Robin Ji, Sua Bae, Fotios N. Tsitsos, Sergio Jiménez-Gambín, Nancy Kwon, Samantha L. Gorman, Deny Tsakri, Rebecca L. Noel, Jonas Bendig, Daniella A. Jimenez, Melody DiBenedetto, Sofia A. Del Castillo, Filimon B. Keleta, James Caicedo, Alexander Romanov, Colleen T. Curley, Yulia Dzhashiashvili, Greglynn D. Walton-Gibbs, Bradley […]
Kavli Affiliate: Daniel E. Holz | First 5 Authors: Bryce Cousins, Kristen Schumacher, Adrian Ka-Wai Chung, Colm Talbot, Thomas Callister | Summary: Gravitational waves from individually resolved compact object mergers can be used as standard sirens, offering a novel self-calibrating precision probe of cosmology. While the standard siren method has been well-explored, the gravitational-wave background […]
Kavli Affiliate: Mihoko M. Nojiri | First 5 Authors: Amon Furuichi, Sung Hak Lim, Mihoko M. Nojiri, , | Summary: The state-of-the-art deep learning (DL) models for jet classification use jet constituent information directly, improving performance tremendously. This draws attention to interpretability, namely, the decision-making process, correlations contributing to the classification, and high-level features (HLFs) […]
Kavli Affiliate: Long Zhang | First 5 Authors: Yuxuan Chen, Long Zhang, Xu Zhu, Hua Zhou, Zhuyin Ren | Summary: Merging natural language interfaces with computational fluid dynamics (CFD) workflows presents transformative opportunities for both industry and research. In this study, we introduce OptMetaOpenFOAM – a novel framework that bridges MetaOpenFOAM with external analysis and […]