Hydrogeochemistry of the Caribou-Poker Creeks Research Watershed

Bedrock of the Caribou-Poker Creeks Research Watershed dissolves incongruently with a first-order rate constant of about 5 x 10-6 day-1 at 5° C. The resulting solution is potassium-calcium-magnesium rich. The soil-plant environment acts on this solution through sorption of potassium and by evapotranspiration to yield a solution that is relatively depleted in potassium and enriched in calcium and magnesium, but with the same molar ratio of Ca:Mg as the fluid from the rock dissolution. This fluid from the soil-plant reservoir is the dominant contributor of ions to stream waters. Using the discriminant functions obtained by multiple discriminant analysis DPKR = 0.572Si02 + 0.240Ca + 2.89Mg - 0.384Na + 0.452N03 - 9.18 DCRB = 0.913Si02 + 0.042Ca + 1.28Mg + 1.17Na + 4.63N03 - 7.27, the waters of Caribou Creek and Poker Creek can be distinguished on the basis of chemical composition. In general, Poker Creek waters are slightly more concentrated than Caribou Creek waters. On the average, 1.4 x 10^13g H20/year leaves the watershed as surface water. At an average calcium concentration of 14 ppm for the water, 0.1% for the bedrock, and a watershed area of 46 mi^2, this flow corresponds to a maximum loss of about 17 metric tons of rock per hectare per year

Georgia's Taxes: A Summary of Major State and Local Government Taxes, 17th Edition

A handbook on taxation that provides a quick overview of all state and local taxes in Georgia

Georgia's Taxes: A Summary of Major State and Local Government Taxes, 15th Edition

A handbook on taxation that provides a quick overview of all state and local taxes in Georgia. FRC Annual Publication A(15

Estimating youth locomotion ground reaction forces using an accelerometer-based activity monitor.

To address a variety of questions pertaining to the interactions between physical activity, musculoskeletal loading and musculoskeletal health/injury/adaptation, simple methods are needed to quantify, outside a laboratory setting, the forces acting on the human body during daily activities. The purpose of this study was to develop a statistically based model to estimate peak vertical ground reaction force (pVGRF) during youth gait. 20 girls (10.9 ± 0.9 years) and 15 boys (12.5 ± 0.6 years) wore a Biotrainer AM over their right hip. Six walking and six running trials were completed after a standard warm-up. Average AM intensity (g) and pVGRF (N) during stance were determined. Repeated measures mixed effects regression models to estimate pVGRF from Biotrainer activity monitor acceleration in youth (girls 10-12, boys 12-14 years) while walking and running were developed. Log transformed pVGRF had a statistically significant relationship with activity monitor acceleration, centered mass, sex (girl), type of locomotion (run), and locomotion type-acceleration interaction controlling for subject as a random effect. A generalized regression model without subject specific random effects was also developed. The average absolute differences between the actual and predicted pVGRF were 5.2% (1.6% standard deviation) and 9% (4.2% standard deviation) using the mixed and generalized models, respectively. The results of this study support the use of estimating pVGRF from hip acceleration using a mixed model regression equation

Ground reaction force estimates from ActiGraph GT3X+ hip accelerations.

Simple methods to quantify ground reaction forces (GRFs) outside a laboratory setting are needed to understand daily loading sustained by the body. Here, we present methods to estimate peak vertical GRF (pGRFvert) and peak braking GRF (pGRFbrake) in adults using raw hip activity monitor (AM) acceleration data. The purpose of this study was to develop a statistically based model to estimate pGRFvert and pGRFbrake during walking and running from ActiGraph GT3X+ AM acceleration data. 19 males and 20 females (age 21.2 ± 1.3 years, height 1.73 ± 0.12 m, mass 67.6 ± 11.5 kg) wore an ActiGraph GT3X+ AM over their right hip. Six walking and six running trials (0.95-2.19 and 2.20-4.10 m/s, respectively) were completed. Average of the peak vertical and anterior/posterior AM acceleration (ACCvert and ACCbrake, respectively) and pGRFvert and pGRFbrake during the stance phase of gait were determined. Thirty randomly selected subjects served as the training dataset to develop generalized equations to predict pGRFvert and pGRFbrake. Using a holdout approach, the remaining 9 subjects were used to test the accuracy of the models. Generalized equations to predict pGRFvert and pGRFbrake included ACCvert and ACCbrake, respectively, mass, type of locomotion (walk or run), and type of locomotion acceleration interaction. The average absolute percent differences between actual and predicted pGRFvert and pGRFbrake were 8.3% and 17.8%, respectively, when the models were applied to the test dataset. Repeated measures generalized regression equations were developed to predict pGRFvert and pGRFbrake from ActiGraph GT3X+ AM acceleration for young adults walking and running. These equations provide a means to estimate GRFs without a force plate

Four Poems

Four poems considering eels, tides, deer, dragonflies, species science, and time

What Referring Physicians Can Expect From the Psychiatrist

I hope that I have persuaded you that the psychiatrist can be a very useful colleague to non-psychiatric physicians. He can be most useful if the referring physician works at developing a mutual learning relationship with him and keeping all lines of communication open