Abstract: The nonredundant voltage-source inverter, which exploits the possibility of minimum additional components for reconfiguration and operation, is a promising solution to manage faults in one ...

Abstract: Agent behavior is arguably the greatest source of uncertainty in trajectory planning for autonomous vehicles. This problem has motivated significant amounts of work in the behavior ...

Methods We conducted a cost-effectiveness analysis in the Yorkshire Lung Screening Trial (YLST) population comparing three ...

The unprecedented expansion of approved oncology therapies has prolonged survival and transformed the prognosis for many patients diagnosed with cancer. However, cancer treatments may be associated ...

Protein conformational energy landscapes are shaped not only by intramolecular interactions but also by their environment. In protein crystals and protein–protein complexes, intermolecular contacts ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

This is the official PyTorch implementation for the ACM MM 2021 paper Contrastive Learning for Cold-Start Recommendation. Recommending cold-start items is a long-standing and fundamental challenge in ...

Objective Phase II trials suggest glucagon-like peptide-1 receptor (GLP1) agonists resolve metabolic dysfunction-associated steatohepatitis but do not affect fibrosis regression. We aimed to determine ...

Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved August 15, 2016 (received for review March 31, 2016) ...