16 research outputs found
Global patterns and drivers of ecosystem functioning in rivers and riparian zones
River ecosystems receive and process vast quantities of terrestrial organic carbon, the fate of which depends strongly on microbial activity. Variation in and controls of processing rates, however, are poorly characterized at the global scale. In response, we used a peer-sourced research network and a highly standardized carbon processing assay to conduct a global-scale field experiment in greater than 1000 river and riparian sites. We found that Earth’s biomes have distinct carbon processing signatures. Slow processing is evident across latitudes, whereas rapid rates are restricted to lower latitudes. Both the mean rate and variability decline with latitude, suggesting temperature constraints toward the poles and greater roles for other environmental drivers (e.g., nutrient loading) toward the equator. These results and data set the stage for unprecedented “next-generation biomonitoring” by establishing baselines to help quantify environmental impacts to the functioning of ecosystems at a global scale
Global Patterns and Drivers of Ecosystem Functioning in Rivers and Riparian Zones
River ecosystems receive and process vast quantities of terrestrial organic carbon, the fate of which depends strongly on microbial activity. Variation in and controls of processing rates, however, are poorly characterized at the global scale. In response, we used a peer-sourced research network and a highly standardized carbon processing assay to conduct a global-scale field experiment in greater than 1000 river and riparian sites. We found that Earth’s biomes have distinct carbon processing signatures. Slow processing is evident across latitudes, whereas rapid rates are restricted to lower latitudes. Both the mean rate and variability decline with latitude, suggesting temperature constraints toward the poles and greater roles for other environmental drivers (e.g., nutrient loading) toward the equator. These results and data set the stage for unprecedented “next-generation biomonitoring” by establishing baselines to help quantify environmental impacts to the functioning of ecosystems at a global scale
An Optimization Model Based Decision Support System for Staff Scheduling Analysis in Healthcare Facilities
Staff scheduling is an important administrative function in healthcare facilities given the high cost of labor and the often critical nature of the service delivery process. These scheduling problems are notoriously difficult due to a number of factors including stochastic demand which varies by time of day and day of week, flexible scheduling policies such as full and part-time staff, and multiple shift lengths and start times. We describe an optimization based decision support system developed and implemented at a large tertiary care hospital to aid business analysts in solving tactical scheduling analysis problems for a wide range of hospital units including obstetrics, laboratory, transcription, surgery, and appointment scheduling clerks
Global patterns and drivers of ecosystem functioning in rivers and riparian zones
River ecosystems receive and process vast quantities of terrestrial organic carbon, the fate of which depends
strongly on microbial activity. Variation in and controls of processing rates, however, are poorly characterized at
the global scale. In response, we used a peer-sourced research network and a highly standardized carbon processing
assay to conduct a global-scale field experiment in greater than 1000 river and riparian sites. We found that Earth’s
biomes have distinct carbon processing signatures. Slow processing is evident across latitudes, whereas rapid rates
are restricted to lower latitudes. Both the mean rate and variability decline with latitude, suggesting temperature
constraints toward the poles and greater roles for other environmental drivers (e.g., nutrient loading) toward the
equator. These results and data set the stage for unprecedented “next-generation biomonitoring” by establishing
baselines to help quantify environmental impacts to the functioning of ecosystems at a global scale.3F10-AC72-52D0 | VerĂłnica Ferreirainfo:eu-repo/semantics/publishedVersio
Short term hospital occupancy prediction
Hospital occupancy, Forecasting, Census prediction, Patient flow, Decision support system,