145 citations
- National Radio Astronomy ObservatoryUS6 papers
- University of ArizonaUS6 papers
- University of Colorado BoulderUS6 papers
- American Physical SocietyUS5 papers
- Eindhoven University of TechnologyNL5 papers
- Fermi National Accelerator LaboratoryUS5 papers
- Indiana University BloomingtonUS5 papers
- University of California, Santa BarbaraUS5 papers
- University of Illinois Urbana-ChampaignUS5 papers
- University of the PacificUS5 papers
- University of UtahUS5 papers
- Washington University in St. LouisUS5 papers
9 papers · 1 filter
A Curious Case of Circular Polarization in the 25 GHz Methanol Maser Line toward OMC-1
A. P. Sarma, E. Momjian
We report the detection of a circular polarization signature in the Stokes profile of a 25 GHz Class I CHOH maser toward the high mass star forming region OMC-1. Such a fea…
Non-thermal fluence threshold for femtosecond pulsed x-ray radiation damage in perovskite complex oxide epitaxial heterostructures
Hyeon Jun Lee, Youngjun Ahn, Samuel D. Marks +13
Intense hard x-ray pulses from a free-electron laser induce irreversible structural damage in a perovskite oxide epitaxial heterostructure when pulse fluences exceed a threshold va…
The Impact of Popularity Bias on Fairness and Calibration in Recommendation
Himan Abdollahpouri, Masoud Mansoury, Robin Burke +1
Recently there has been a growing interest in fairness-aware recommender systems, including fairness in providing consistent performance across different users or groups of users.…
A Proof of Levi's Extension Lemma
Marcus Schaefer
We give a short and self-contained proof of Levi's Extension Lemma for pseudoline arrangements.
Forward and Inverse Kinematics of a Single Section Inextensible Continuum Arm
Ali A. Nazari, Diego Castro, Isuru S. Godage
Continuum arms, such as trunk and tentacle robots, lie between the two extremities of rigid and soft robots and promise to capture the best of both worlds in terms of manipulabilit…
Flatter is better: Percentile Transformations for Recommender Systems
Masoud Mansoury, Robin Burke, Bamshad Mobasher
It is well known that explicit user ratings in recommender systems are biased towards high ratings, and that users differ significantly in their usage of the rating scale. Implemen…