From the 1 of 6 papers with an AI index.
1 citations
- University of Maryland, College ParkUS2 papers
- Brookhaven National LaboratoryUS1 paper
- Deleted Institution1 paper
- George Washington UniversityUS1 paper
- Goddard Space Flight CenterUS1 paper
- Haverford CollegeUS1 paper
- Johns Hopkins UniversityUS1 paper
- Kyoto UniversityJP1 paper
- Los Alamos National LaboratoryUS1 paper
- Louisiana State UniversityUS1 paper
- Marshall Space Flight CenterUS1 paper
- National Changhua University of EducationTW1 paper
6 papers
Vacuum birefringence and the polarized X-ray emission from a radio magnetar
Rachael E. Stewart, Hoa Dinh Thi, George Younes +13
The paper presents phase- and energy-resolved X‑ray polarization measurements of the radio magnetar 1E 1547.0‑5408, finding high polarization degrees that support vacuum birefringe…
Photonic Theta Cavity: Engineering Bound States in the Continuum in Topological Resonators Beyond the Limitations of Near Field Coupling
Eric Seabron, Robert E. Coleman, Chuanyu Lian +3
The Theta Cavity is a unique topological resonator architecture which utilizes interferometric coupling to overcome fundamental design limitations associated with near-field evanes…
Beyond Algebraic Superstring Compactification: Part II
Tristan Hübsch
The most impressively prolific exploration of superstring models (aiming for our physical reality) has been focused on worldsheet-supersymmetric gauged linear sigma models and the…
Predicting High-Risk Colorectal Polyps in African Americans Using Pre-Colonoscopy Clinical Features: Machine Learning Model Development and Temporal Validation
Basheer Qolomany, Mrinalini Deverapall, Adeyinka Laiyemo +5
Risk stratification for advanced colorectal polyps typically relies on colonoscopy and/or pathology findings. However, there is growing interest in whether non-invasive features av…
Deep Temporal Modeling and Ensemble Fusion for Multimodal Emotion Recognition from Physiological Signals
Desta Haileselassie Hagos, Saurav Keshari Aryal, Patrick Ymele-Leki +2
Physiological stress and emotion recognition are important for health monitoring and affective computing. In this work, we present a comprehensive evaluation of deep learning model…
Competing magnetic phases in CrTe are spatially segregated
V. K. Bhartiya, Anirban Goswami, Nicholas Ng +10
CrTe is a self-intercalated vdW system that is of current interest for its room-temperature FM phases and tunable topological properties. Early NPD measurements on the…