Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United
States have served as a visible and important communication channel between the scientific …

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United
States have served as a visible and important communication channel between the scientific …

METHODS Aid Access provides medication abortion up to 10 weeks of gestation for those
who make a request using an online consultation form. 3 We analyzed fully de-identified data …

On March 26, 2020, the Institute for Health Metrics and Evaluation (IHME) at the University of
Washington released a website that forecasts coronavirus disease (COVID-19) healthcare …

Forecasting the burden of COVID-19 has been impeded by limitations in data, with case
reporting biased by testing practices, death counts lagging far behind infections, and hospital …

… Data is collected from 562 college students enrolled in an entrepreneurship course to test
the multi-item and multi-dimensional scale developed to measure the M-TEC in this paper. …

Learning with an objective to minimize the mismatch with a reference distribution has been
shown to be useful for generative modeling and imitation learning. In this paper, we …

E-scooters are an alternative for short trips and are particularly suitable for solving the last-mile
transit problem, yet their impact on transit is not well understood. There is a need to …

This paper considers the problem of measuring spatial and temporal variation in driver
productivity on ride-sourcing trips. This variation is especially important from a driver’s perspective…

Estimating the causal effects of a spatially-varying intervention on a spatially-varying outcome
may be subject to non-local confounding (NLC), a phenomenon that can bias estimates …

Letter text The prevalence of asymptomatic COVID-19 infections is largely unknown and
may determine the course of future pandemic waves and the effectiveness of interventions. …

Mobile robots deployed in human-populated environments must be able to safely and
comfortably navigate in close proximity to people. Head orientation and gaze are both …

Two media used to detect fecal coliforms in water by membrane filtration, m-FC and m-TEC,
were modified and supplemented with the chromogenic substrate 5-bromo-6-chloro-3-indoyl…

Large real-world graphs tend to be sparse, but they often contain many densely connected
subgraphs and exhibit high clustering coefficients. While recent random graph models can …

Reinforcement learning (RL) is a computational approach to reward-driven learning in
sequential decision problems. It implements the discovery of optimal actions by learning from an …

This work presents a study for building a Deep Vision pipeline suitable for the Robocup
Standard Platform League, a humanoid robot soccer tournament. Specifically, we focus on end-to…

Alerting the public when heat may harm their health is a crucial service, especially considering
that extreme heat events will be more frequent under climate change. Current practice for …

We propose to combine the ideas of mass redistribution and component mode synthesis.
More specifically, we employ the MacNeal method, which readily leads to a singular mass …

Spatial confounding poses a significant challenge in scientific studies involving spatial data,
where unobserved spatial variables can influence both treatment and outcome, possibly …

Ride-sourcing or transportation network companies (TNCs) provide on-demand transportation
service for compensation, connecting drivers of personal vehicles with passengers …