Relationship between Body Mass Index and the Sub-Dimensions of the Brief Pain Inventory in Chronic Pain Patients

Individuals with chronic pain find it hard to exercise which often results in an elevated Body Mass Index (BMI). Often these individuals only have mild to moderate structural or biomechanical reasons to explain their pain yet their fear of pain seems to influence their functional capacity before any biomechanical mechanism actually prevents them doing so.A retrospective analysis of 25 individuals with a diagnosis of chronic pain (>3 months duration) to establish anthropometric measures, pain severity and Brief Pain Inventory (BPI) questionnaire including the affective sub-dimension score (REM: relations with others, enjoyment of life, and mood) and the activity subdimension score (WAW: walking, general activity, and work) were assessed.BMI was shown to have a significant effect on the overall daily functional BPI score as assessed using ANOVA, F (4,110) = 29.4, p<0.05, with an effect size w = 0.5. Turkey HSD tests to compare all groups identified a significant relationship between BMI and (i) pain (p<0.05), (ii) REM (p<0.05), and (iii) sleep (p<0.05).These results would suggest that individuals who are overweight and who show higher REM scores on the BPI assessment may benefit from early psychological counselling rather than physical therapy

LSST: from Science Drivers to Reference Design and Anticipated Data Products

(Abridged) We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). A vast array of science will be enabled by a single wide-deep-fast sky survey, and LSST will have unique survey capability in the faint time domain. The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the Solar System, exploring the transient optical sky, and mapping the Milky Way. LSST will be a wide-field ground-based system sited at Cerro Pach\'{o}n in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg$^2$ field of view, and a 3.2 Gigapixel camera. The standard observing sequence will consist of pairs of 15-second exposures in a given field, with two such visits in each pointing in a given night. With these repeats, the LSST system is capable of imaging about 10,000 square degrees of sky in a single filter in three nights. The typical 5$\sigma$ point-source depth in a single visit in $r$ will be $\sim 24.5$ (AB). The project is in the construction phase and will begin regular survey operations by 2022. The survey area will be contained within 30,000 deg$^2$ with $\delta<+34.5^\circ$, and will be imaged multiple times in six bands, $ugrizy$, covering the wavelength range 320--1050 nm. About 90\% of the observing time will be devoted to a deep-wide-fast survey mode which will uniformly observe a 18,000 deg$^2$ region about 800 times (summed over all six bands) during the anticipated 10 years of operations, and yield a coadded map to $r\sim27.5$. The remaining 10\% of the observing time will be allocated to projects such as a Very Deep and Fast time domain survey. The goal is to make LSST data products, including a relational database of about 32 trillion observations of 40 billion objects, available to the public and scientists around the world.Comment: 57 pages, 32 color figures, version with high-resolution figures available from https://www.lsst.org/overvie

Chemically Enhanced Aquifer Development in Unconsolidated Clastic Sediments

Proceedings of the 1997 Georgia Water Resources Conference, March 20-22, 1997, Athens, Georgia.The construction of high-yielding wells near the fall line is difficult due to the limited thickness of the Dublin-Midville aquifer, the hydraulic conductivity of this aquifer and the low elevation of the saturated zone. Chemically-enhanced aquifer development techniques have been used effectively to increase the yield of production wells completed in this aquifer.Sponsored and Organized by: U.S. Geological Survey, Georgia Department of Natural Resources, The University of Georgia, Georgia State University, Georgia Institute of TechnologyThis book was published by the Institute of Ecology, The University of Georgia, Athens, Georgia 30602 with partial funding provided by the U.S. Department of Interior, Geological Survey, through the Georgia Water Research Institutes Authorization Act of 1990 (P.L. 101-397). The views and statements advanced in this publication are solely those of the authors and do not represent official views or policies of the University of Georgia or the U.S. Geological Survey or the conference sponsors

Evaluation and Monitoring of Glen Helen Water Quality Fall 2014

Poster describing the evaluation and monitoring of water quality in the Glen Helen Nature Preserve, Yellow Springs, Ohio, in the Fall of 2014

Evaluation and Monitoring of Glen Helen Water Quality Fall 2014

Poster describing the evaluation and monitoring of water quality in the Glen Helen Nature Preserve, Yellow Springs, Ohio, in the Fall of 2014