Geographic Disparities in COVID-19 Testing: An Urgent Call to Action

This research brief shows that testing rates are lower in states with the unhealthiest populations and worst health care access. Disparities in testing rates are troubling because delays in testing increase the risk of a surge in silent spread and severe COVID-19 cases in these states

COVID-19 Testing Rates are Lower in States with More Black and Poor Residents

This data slice shows that testing rates to date have been lower in states with higher percent black populations and higher poverty rates. Without proper testing and physical distancing protocols, these states risk a surge in severe COVID-19 cases, overwhelming their already resource strapped healthcare systems

Rural-Urban and Within-Rural Differences in COVID-19 Mortality Rates

Since late-2020, COVID-19 mortality rates have been higher in rural than in urban America, but there has also been substantial within-rural heterogeneity. Using CDC data, we compare COVID-19 mortality rates across the rural-urban continuum as well as within rural counties across different types of labor markets and by metropolitan adjacency. As of October 1, 2021, the cumulative COVID-19 mortality rate was 247.0 per 100,000 population in rural counties compared to 200.7 in urban counties. Higher COVID-19 mortality rates in rural counties are explained by lower average educational attainment and lower median household income. Within rural counties, mortality rates have been highest in farming-dependent counties and lowest in recreation-dependent counties. Those differences are similarly explained by differences in educational attainment and median household income. Our findings have implications for ongoing COVID-19 prevention and vaccination efforts as well as for informing preparation efforts for future infectious disease outbreaks

Rural COVID-19 Mortality Rates are Highest in Counties with the Largest Percentages of Blacks and Hispanics

COVID-19 mortality risk is not distributed equally across the U.S. Among rural counties, the average daily increase in COVID-19 mortality rates has been significantly higher in counties with the largest percentages of Black and Hispanic residents

Proximity-Coupled Ti/TiN Multilayers for use in Kinetic Inductance Detectors

We apply the superconducting proximity effect in TiN/Ti multi-layer films to tune the critical temperature, Tc, to within 10 mK with high uniformity (less than 15 mK spread) across a 75 mm wafer. Reproducible Tc's are obtained from 0.8 - 2.5 K. These films had high resistivities, > 100 uOhm-cm and internal quality factors for resonators in the GHz range on the order of 100k and higher. Both trilayers of TiN/Ti/TiN and thicker superlattice films were prepared, demonstrating a highly controlled process for films over a wide thickness range. Detectors were fabricated and showed single photon resolution at 1550 nm. The high uniformity and controllability coupled with the high quality factor, kinetic inductance, and inertness of TiN make these films ideal for use in frequency multiplexed kinetic inductance detectors and other potential applications such as nanowire detectors, transition edge sensors and associated quantum information applications

Precision Agriculture: Yield Monitors (1998)

Yield monitors are an essential component of many site-specific management strategies. Yield maps, the visual and numerical product of yield monitors, encourage creative investigation and can provide reliable answers to carefully performed on-farm experiments. Yield maps provide feedback for determining the effects of managed inputs such as fertilizer and lime, seed and pesticides, and cultural practices such as tillage, irrigation and drainage

Causality in Time-Neutral Cosmologies

Gell-Mann and Hartle (GMH) have recently considered time-neutral cosmological models in which the initial and final conditions are independently specified, and several authors have investigated experimental tests of such models. We point out here that GMH time-neutral models can allow superluminal signalling, in the sense that it can be possible for observers in those cosmologies, by detecting and exploiting regularities in the final state, to construct devices which send and receive signals between space-like separated points. In suitable cosmologies, any single superluminal message can be transmitted with probability arbitrarily close to one by the use of redundant signals. However, the outcome probabilities of quantum measurements generally depend on precisely which past {\it and future} measurements take place. As the transmission of any signal relies on quantum measurements, its transmission probability is similarly context-dependent. As a result, the standard superluminal signalling paradoxes do not apply. Despite their unusual features, the models are internally consistent. These results illustrate an interesting conceptual point. The standard view of Minkowski causality is not an absolutely indispensable part of the mathematical formalism of relativistic quantum theory. It is contingent on the empirical observation that naturally occurring ensembles can be naturally pre-selected but not post-selected.Comment: 5 pages, RevTeX. Published version -- minor typos correcte

Random qubit-states and how best to measure them

We consider the problem of measuring a single qubit, known to have been prepared in either a randomly selected pure state or a randomly selected real pure state. We seek the measurements that provide either the best estimate of the state prepared or maximise the accessible information. Surprisingly, any sensible measurement turns out to be optimal. We discuss the application of these ideas to multiple qubits and higher-dimensional systems

Retention of Swine Slurry Constituents in Soil and Crop Residue as Affected by Setback Distance

Setbacks are prescribed distances from surface waters within which manure application is not allowed. Little information is available concerning the retention of swine slurry constituents in soil and crop residue materials within setback areas. This study was conducted to measure the retention of selected constituents within a setback area following the upslope application of swine slurry and the introduction of simulated rainfall. The no-till cropland site had a slope gradient of 4.9% and a mean winter wheat residue cover of 7.73 Mg ha−1 . Soil and vegetative samples were collected on 3.7 m wide by 23.2 m long plots with and without the addition of slurry. Slurry was added at the 0–4.9 m distance on selected plots, and simulated rainfall was then applied to the entire plot area during two separate events. Soil cores and vegetative samples were collected from each plot at distances of 2.44, 5.18, 7.92, 11.0, 14.0, 17.1, and 20.1 m from the upper plot border. The soil cores were separated into 0–10, 10–20, and 20– 30 cm depth increments. Significant increases in soil concentrations of chloride, nitrate, phosphorus, and zinc were found both within and downslope from the slurry application area. Residue materials located both within and downslope from the slurry application area contained significantly increased concentrations of boron, calcium, copper, magnesium, sulfur, and zinc. When estimating the downslope transport of constituents contained in swine slurry, contributions from runoff, soil, and residue should all be considered

Setback Distance Requirements for Removal of Swine Slurry Constituents in Runoff

The use of setback distances for manure application on cropland areas adjacent to surface water bodies could serve a function similar to vegetative filter strips. However, little information currently exists to identify the setback distances necessary to effectively reduce the transport of contaminants in runoff. The objective of this study was to determine the effects of setback distance and runoff rate on concentrations of selected constituents in runoff following land application of swine slurry to a no-till cropland area in southeast Nebraska. The study site had a residue cover of 7.73 Mg ha-1 and a slope gradient of 4.9%. The twenty plots examined during the investigation were 3.7 m across the slope by 4.9, 7.9, 11.0, 17.1, or 23.2 m long. An initial set of rainfall simulation tests were completed to identify background concentrations of selected constituents. Swine slurry was then applied to the upper 4.9 m of each plot, and additional rainfall simulation tests were conducted on the same plots examined previously. A first-order exponential decay function was used to estimate the effects of setback distance on concentrations of selected constituents. A setback distance of 12.2 m reduced runoff concentrations of dissolved phosphorus (DP), NH4-N, total nitrogen (TN), boron, chloride, manganese, potassium, sulfate, zinc, electrical conductivity (EC), and pH to background values similar to those measured for the no-slurry condition. Runoff rate significantly influenced transport of several of the constituents, with concentrations generally decreasing as runoff rate increased. The transport of selected pollutants in runoff was significantly reduced when setback areas were employed