The United States COVID-19 Forecast Hub dataset

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages

Recommendations for Addressing Priority Io Science in the Next Decade

Io is a priority destination for solar system exploration. The scope and importance of science questions at Io necessitates a broad portfolio of research and analysis, telescopic observations, and planetary missions - including a dedicated New Frontiers class Io mission

The Science Case for Io Exploration

Io is a priority destination for solar system exploration, as it is the best natural laboratory to study the intertwined processes of tidal heating, extreme volcanism, and atmosphere-magnetosphere interactions. Io exploration is relevant to understanding terrestrial worlds (including the early Earth), ocean worlds, and exoplanets across the cosmos

Riociguat treatment in patients with chronic thromboembolic pulmonary hypertension: Final safety data from the EXPERT registry

Objective: The soluble guanylate cyclase stimulator riociguat is approved for the treatment of adult patients with pulmonary arterial hypertension (PAH) and inoperable or persistent/recurrent chronic thromboembolic pulmonary hypertension (CTEPH) following Phase

Resonant Formation of Cluster Anions Containing SF6 Involving a Pick-up Experiment with Argon and Nitrogen Clusters

Electron attachment to species formed in an experiment involving the interaction of either Ar or N2 clusters with SF6 background gas leads to the formation of cluster anions Mm(SF6)n− containing as many as 20 monomers (M = Ar or N2) and up to five SF6 molecules, including also “pure” (SF6)n−. All of these ions are formed resonantly near 0 eV electron energy. In the case of N2 clusters, another resonance near 1.8 eV is observed which is related to (intra-cluster) auto-scavenging, involving the 2Πg transient negative ion state of solvated N2. These observations, and the absence of SF5-containing clusters, make it possible to identify unambiguously the mechanism through which the observed ions form. In a first step, mixed neutral clusters Mx(SF6)y arise from pick-up reactions; subsequent electron attachment to these species results in mixed and pure cluster ions