5,961 research outputs found
Vitis vulpina L.
https://thekeep.eiu.edu/herbarium_specimens_byname/19804/thumbnail.jp
Vitis vulpina L.
https://thekeep.eiu.edu/herbarium_specimens_byname/19804/thumbnail.jp
Vitis vulpina L.
https://thekeep.eiu.edu/herbarium_specimens_byname/19805/thumbnail.jp
Vitis vulpina L.
https://thekeep.eiu.edu/herbarium_specimens_byname/19805/thumbnail.jp
The ROTSE-III Robotic Telescope System
The observation of a prompt optical flash from GRB990123 convincingly
demonstrated the value of autonomous robotic telescope systems. Pursuing a
program of rapid follow-up observations of gamma-ray bursts, the Robotic
Optical Transient Search Experiment (ROTSE) has developed a next-generation
instrument, ROTSE-III, that will continue the search for fast optical
transients. The entire system was designed as an economical robotic facility to
be installed at remote sites throughout the world. There are seven major system
components: optics, optical tube assembly, CCD camera, telescope mount,
enclosure, environmental sensing & protection and data acquisition. Each is
described in turn in the hope that the techniques developed here will be useful
in similar contexts elsewhere.Comment: 19 pages, including 4 figures. To be published in PASP in January,
2003. PASP Number IP02-11
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The impact of uncertain precipitation data on insurance loss estimates using a flood catastrophe model
Catastrophe risk models used by the insurance industry are likely subject to significant uncertainty, but due to their proprietary nature and strict licensing conditions they are not available for experimentation. In addition, even if such experiments were conducted, these would not be repeatable by other researchers because commercial confidentiality issues prevent the details of proprietary catastrophe model structures from being described in public domain documents. However, such experimentation is urgently required to improve decision making in both insurance and reinsurance markets. In this paper we therefore construct our own catastrophe risk model for flooding in Dublin, Ireland, in order to assess the impact of typical precipitation data uncertainty on loss predictions. As we consider only a city region rather than a whole territory and have access to detailed data and computing resources typically unavailable to industry modellers, our model is significantly more detailed than most commercial products. The model consists of four components, a stochastic rainfall module, a hydrological and hydraulic flood hazard module, a vulnerability module, and a financial loss module. Using these we undertake a series of simulations to test the impact of driving the stochastic event generator with four different rainfall data sets: ground gauge data, gauge-corrected rainfall radar, meteorological reanalysis data (European Centre for Medium-Range Weather Forecasts Reanalysis-Interim; ERA-Interim) and a satellite rainfall product (The Climate Prediction Center morphing method; CMORPH). Catastrophe models are unusual because they use the upper three components of the modelling chain to generate a large synthetic database of unobserved and severe loss-driving events for which estimated losses are calculated. We find the loss estimates to be more sensitive to uncertainties propagated from the driving precipitation data sets than to other uncertainties in the hazard and vulnerability modules, suggesting that the range of uncertainty within catastrophe model structures may be greater than commonly believed
Lighten UP! A community-based group intervention to promote psychological well-being in older adults
Objectives: Aging is often characterized by declines in physical and mental health and increased risk for depression and social isolation. A protective factor that has been found to effectively moderate these phenomena is psychological well-being. The aim of his study was to pilot test a novel group intervention (Lighten UP! program) for the promotion of psychological well-being in older adults living in the community. Methods: Lighten UP! is an eight-week program consisting of 90-minute group session designed to teach participants to identify and savor positive experiences across multiple domains of eudaimonic well-being. It was delivered to a sample of 103 men and women aged 60 or over, that were assessed pre- and post-intervention with Ryff's Psychological Well-being Scale (PWB), Life Satisfaction scale, Geriatric Depression Scale, Symptom Questionnaire, and items measuring sleep complaints and social well-being. Results: At the end of the eight weeks, participants reported significantly increased PWB, life satisfaction, and social well-being along with lower levels of depression and fewer physical symptoms and sleep complaints. These gains were particularly robust for individuals with lower pre-program levels of PWB. Conclusions: This pilot investigation suggests the feasibility of a short group program for enhancing well-being in older adults. Future controlled investigations with long-term follow-up assessment are needed to confirm the effectiveness and sustained benefits of the Lighten UP! program. © 2015 Taylor & Franci
Bulletin No. 371 - Fifty Years of Dry Land Research at the Nephi Field Station
The Nephi Field Station is the oldest dry-Iand experimental farm in America still in operation. It was established in 1903 by action of the Utah legislature and has been in continuous operation since. Five other arid experimental farms were established in Utah at the same time (Widtsoe and Merrill 1905) but they were all discontinued prior to 1920 (Harris et al. 1920).
The Nephi Field Station has had a most interesting history, and it is worthy of note that many of the men who were closely associated with it during its early history subsequently distinguished themselves as outstanding leaders. The station came into being largely as a result of the efforts of Dr. John A. Widtsoe, noted irrigation and dry farm authority of the west until his death in 1952. Under his leadership a systematic investigation was undertaken in 1901 to determine the possibilities of farming without irrigation in Utah. The experimental farm at Nephi was established largely as a result of that study
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