Kavli Affiliate: Erich Jarvis | Authors: Anjana C. Karawita, Yuanyuan Cheng, Keng Yih Chew, Arjun Challgula, Robert Kraus, Ralf C. Mueller, Marcus Z. W. Tong, Katina D. Hulme, Helle Beielefeldt-Ohmann, Lauren E. Steele, Melanie Wu, Julian DJ Sng, Ellesandra Noye, Timothy J. Bruxner, Gough G. Au, Suzanne Lowthe, Julie Blommaert, Alexander Suh, Alexander J. McCauley, […]
Kavli Affiliate: Karen Christman | Authors: Pamela Duran, Emma Zelus, Saya French, Lindsey Burnett, Karen Christman and Marianna Alperin | Summary: Objectives: Childbirth is a key risk factor for pelvic floor muscle (PFM) injury and dysfunction, and subsequent pelvic floor disorders (PFDs). Multiparity further exacerbates these risks. Using the pre-clinical rat model of simulated birth […]
Kavli Affiliate: Erin Kara | First 5 Authors: Jingyi Wang, Erin Kara, Matteo Lucchini, Adam Ingram, Michiel van der Klis | Summary: We perform the first systematic search of all NICER archival observations of black hole (and candidate) low-mass X-ray binaries for signatures of reverberation. Reverberation lags result from the light travel time difference between […]
Kavli Affiliate: Xian Chen | First 5 Authors: Ka Hung Chan, Shengwang Du, Xian Chen, , | Summary: We theorize the surface step characterization by reflected incoherent-light differential interference microscopy with consideration of the optical diffraction effect. With the integration of localization analysis, we develop a quantitative differential interference optical system, by which we demonstrate […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: Mingchen Liu, Robert M. Gray, Arkadev Roy, Kirk A. Ingold, Evgeni Sorokin | Summary: Powerful and efficient optical frequency combs in the mid-infrared (MIR) spectral region are highly desirable for a broad range of applications. Despite extensive efforts utilizing various techniques, MIR frequency comb sources are still […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: Mingchen Liu, Robert M. Gray, Arkadev Roy, Kirk A. Ingold, Evgeni Sorokin | Summary: Powerful and efficient optical frequency combs in the mid-infrared (MIR) spectral region are highly desirable for a broad range of applications. Despite extensive efforts utilizing various techniques, MIR frequency comb sources are still […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Xiyuan Chen, Xingyu Li, Yi Zhou, Tianming Yang, | Summary: Despite their outstanding performance in a broad spectrum of real-world tasks, deep artificial neural networks are sensitive to input noises, particularly adversarial perturbations. On the contrary, human and animal brains are much less vulnerable. In contrast to […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Pengbo Hu, Xingyu Li, Yi Zhou, , | Summary: As deep learning advances, there is an ever-growing demand for models capable of synthesizing information from multi-modal resources to address the complex tasks raised from real-life applications. Recently, many large multi-modal datasets have been collected, on which researchers […]
Kavli Affiliate: Wei Gao | First 5 Authors: Qian Ma, Wei Gao, Qiang Xiao, Lingsong Ding, Tianyi Gao | Summary: Brain-computer interfaces (BCIs), invasive or non-invasive, have projected unparalleled vision and promise for assisting patients in need to better their interaction with the surroundings. Inspired by the BCI-based rehabilitation technologies for nerve-system impairments and amputation, […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu | Summary: Learning with noisy labels has aroused much research interest since data annotations, especially for large-scale datasets, may be inevitably imperfect. Recent approaches resort to a semi-supervised learning problem by dividing training samples into clean and […]