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Indiana Wildlife Disease News, Vol 5, Issue 3 -- November 2010, Joe N. Caudill, Dean Zimmerman 2010 USDA-APHIS WIldlife Services

Indiana Wildlife Disease News, Vol 5, Issue 3 -- November 2010, Joe N. Caudill, Dean Zimmerman

Indiana Wildlife Disease News

Nasal bots in White-tailed Deer

Recent Changes to the Indiana DNR Division of Fish and Wildlife

Two New Wildlife Health Reporting Tools: 1) The Wildlife Health Event Reporter (WHER) website, created by Researchers in the Nelson Institute for Environmental Studies at the University of Wisconsin-Madison and the U.S. Geological Survey National Wildlife Health Center in Madison, and 2) “Outbreaks Near Me,” created by Children’s Hospital Boston researchers Clark Freifeld and John Brownstein

New Contact at National Wildlife Health Center for Central US States - Dr. LeAnn White

Midwest Wildlife Disease Update:
Two Kentucky Cows Test Positive for TB
Ohio ...


Multi-Scale Perspectives On Paddlefish Populations: Implications For Species Conservation And Management, Brenda M. Pracheil 2010 University of Nebraska-Lincoln

Multi-Scale Perspectives On Paddlefish Populations: Implications For Species Conservation And Management, Brenda M. Pracheil

Dissertations & Theses in Natural Resources

The Order of fishes containing paddlefish and sturgeon has been named the most endangered group of organisms on the planet by the International Union of Conservation of Nature (IUCN). Population trajectories of paddlefish, whose native range is entirely encompassed within the United States of America, are currently unknown, although the IUCN has considered them to have a high extinction risk in the wild. The declaration of the vulnerability of paddlefish to extinction, coupled with the global plight of other sturgeon species create urgency to establish population and species-level population trajectories. Moreover, this declaration creates a great need for swift management ...


Noncovalent Interactions In Extended Systems Described By The Effective Fragment Potential Method: Theory And Application To Nucleobase Oligomers, Debashree Ghosh, Dmytro Kosenkov, Vitalii Vanovschi, Christopher F. Williams, John M. Herbert, Mark S. Gordon, Michael Schmidt, Lyudmila V. Slipchenko, Anna I. Krylov 2010 UniVersity of Southern California

Noncovalent Interactions In Extended Systems Described By The Effective Fragment Potential Method: Theory And Application To Nucleobase Oligomers, Debashree Ghosh, Dmytro Kosenkov, Vitalii Vanovschi, Christopher F. Williams, John M. Herbert, Mark S. Gordon, Michael Schmidt, Lyudmila V. Slipchenko, Anna I. Krylov

Chemistry Publications

The implementation of the effective fragment potential (EFP) method within the Q-CHEM electronic structure package is presented. The EFP method is used to study noncovalent π−π and hydrogen-bonding interactions in DNA strands. Since EFP is a computationally inexpensive alternative to high-level ab initio calculations, it is possible to go beyond the dimers of nucleic acid bases and to investigate the asymptotic behavior of different components of the total interaction energy. The calculations demonstrated that the dispersion energy is a leading component in π-stacked oligomers of all sizes. Exchange-repulsion energy also plays an important role. The contribution of polarization is ...


Surprisingly Rapid Nitrogen Cycling In Tropical Forest Plantations On Volcanically Derived Soils, James W. Raich, Ann E. Russell 2010 Iowa State University

Surprisingly Rapid Nitrogen Cycling In Tropical Forest Plantations On Volcanically Derived Soils, James W. Raich, Ann E. Russell

Natural Resource Ecology and Management Conference Papers, Posters and Presentations

Secondary forests and young forest plantations frequently have high rates of tree growth and NPP – higher even than mature forests in similar situations. The nutrients required to sustain this rapid growth are derived from the soil and by external inputs such as rainfall or, in the case of nitrogen, by biological N fixation. In our study of the effects of tree species within replicated experimental plantations in a moist, lowland tropical environment in Costa Rica, high rates of biomass accumulation and productivity were coupled with high rates of N accumulation and cycling. We applied extensive sampling through time within a ...


Chesapeake Bay Land Subsidence And Sea Level Change : An Evaluation Of Past And Present Trends And Future Outlook, John D. Boon, John M. Brubaker, David R. Forrest 2010 Virginia Institute of Marine Science

Chesapeake Bay Land Subsidence And Sea Level Change : An Evaluation Of Past And Present Trends And Future Outlook, John D. Boon, John M. Brubaker, David R. Forrest

Reports

Ten Chesapeake Bay water level stations presently have a combined total of 647 years of water level measurements with record lengths varying between 35 years (1975-2009) at the Chesapeake Bay Bridge Tunnel, VA, and 107 years (1903-2009) at Baltimore, MD. All ten stations, with the exception of Gloucester Point, VA, are active stations in the National Water Level Observation Network of water level stations maintained by the U.S. National Oceanic and Atmospheric Administration, Center for Operational Oceanographic Products and Services.

New technologies such as sea surface range measurements from earth-orbiting satellites now provide a global assessment of absolute sea ...


Powerpack: Energy Profiling And Analysis Of High-Performance Systems And Applications, Rong Ge, Xizhou Feng, Shuaiwen Song, Hung-Ching Chang, Dong Li, Kirk W. Cameron 2010 Marquette University

Powerpack: Energy Profiling And Analysis Of High-Performance Systems And Applications, Rong Ge, Xizhou Feng, Shuaiwen Song, Hung-Ching Chang, Dong Li, Kirk W. Cameron

Mathematics, Statistics and Computer Science Faculty Research and Publications

Energy efficiency is a major concern in modern high-performance computing system design. In the past few years, there has been mounting evidence that power usage limits system scale and computing density, and thus, ultimately system performance. However, despite the impact of power and energy on the computer systems community, few studies provide insight to where and how power is consumed on high-performance systems and applications. In previous work, we designed a framework called PowerPack that was the first tool to isolate the power consumption of devices including disks, memory, NICs, and processors in a high-performance cluster and correlate these measurements ...


On Semigroups With Lower Semimodular Lattice Of Subsemigroups, Peter R. Jones 2010 Marquette University

On Semigroups With Lower Semimodular Lattice Of Subsemigroups, Peter R. Jones

Mathematics, Statistics and Computer Science Faculty Research and Publications

The question of which semigroups have lower semimodular lattice of subsemigroups has been open since the early 1960s, when the corresponding question was answered for modularity and for upper semimodularity. We provide a characterization of such semigroups in the language of principal factors. Since it is easily seen (and has long been known) that semigroups for which Green's relation J is trivial have this property, a description in such terms is natural. In the case of periodic semigroups—a case that turns out to include all eventually regular semigroups—the characterization becomes quite explicit and yields interesting consequences. In ...


Heavy Metal Concentrations In Water And Surface Sediments Of Wilgreen Lake, Madison County, Kentucky, Chad Von Gruenigen, Walter S. Borowski 2010 Eastern Kentucky University

Heavy Metal Concentrations In Water And Surface Sediments Of Wilgreen Lake, Madison County, Kentucky, Chad Von Gruenigen, Walter S. Borowski

EKU Faculty and Staff Scholarship

Heavy metal pollution remains a problem in natural waters, particularly for localities near plausible anthropogenic sources. We assayed the level of heavy metals in surface waters and within surface sediments of Wilgreen Lake, whose watershed drains industrial, urban, and residential areas near Richmond, Kentucky.

Water samples were treated according to Environmental Protection Agency (EPA) protocols and digested with trace-metal-grade nitric and hydrochloric acids. Sediment samples were collected with a grab sampler and digested using established EPA procedures with hydrogen peroxide and trace-metal-grade nitric acid. Both water samples and sediment samples were sent to Activation Laboratories for analysis, and were measured ...


Patterns Of Heavy Metal Concentration In Core Sediments, Wilgreen Lake, Madison County, Kentucky, Clint McMaine, Walter S. Borowski 2010 Eastern Kentucky University

Patterns Of Heavy Metal Concentration In Core Sediments, Wilgreen Lake, Madison County, Kentucky, Clint Mcmaine, Walter S. Borowski

EKU Faculty and Staff Scholarship

Elevated levels of cadmium, copper, lead, and nickel were found within the waters of Wilgreen Lake during a preliminary survey in 2007. Accumulation of heavy metals in freshwater systems is a known problem. Heavy metals enter the lake in the dissolved phase or adsorbed onto sediment particles and may be linked to industries within the lake’s watershed. Under certain geochemical conditions such as anoxia, heavy metals may detach from sediment particles and diffuse into overlying lake waters, causing a renewed influx of heavy metals into the ecosystem. We hypothesize that heavy metals should decrease in concentration upcore as a ...


U.S. Law Of The Sea Cruises To Map Sections Of The Mariana Trench And The Eastern And Southern Insular Margins Of Guam And The Northern Mariana Islands, James V. Gardner 2010 University of New Hampshire, Durham

U.S. Law Of The Sea Cruises To Map Sections Of The Mariana Trench And The Eastern And Southern Insular Margins Of Guam And The Northern Mariana Islands, James V. Gardner

Center for Coastal and Ocean Mapping

U.S. Law of the Sea cruises to map sections of the Mariana Trench and the eastern and southern insular margins of Guam and the Northern Mariana Islands

CRUISE SU10-1

Leg 1: August 6 to September, 2010

Apra Harbor, Guam to Apra Harbor, Guam


Modelling Uncertainty Caused By Internal Waves On The Accuracy Of Mbes, Travis Hamilton, Jonathan Beaudoin 2010 University of New Brunswick

Modelling Uncertainty Caused By Internal Waves On The Accuracy Of Mbes, Travis Hamilton, Jonathan Beaudoin

Center for Coastal and Ocean Mapping

A 3D ray tracing model has been developed to estimate the effects of internal waves upon the accuracy of multibeam echosounders (MBES). A case study examines the variability in these effects as a function of survey line direction and also considers the case of improving 2D ray tracing models with wave parameters derived from MBES water column imagery. Results indicate that, under certain circumstances, the effects of internal waves can prove to be a significant source of uncertainty that detracts from the ability to efficiently map the seafloor with wide swath angles.


Adjusted Confidence Interval For The Population Median Of The Exponential Distribution, Moustafa Omar Ahmed Abu-Shawiesh 2010 Hashemite University, Zarqa Jordan

Adjusted Confidence Interval For The Population Median Of The Exponential Distribution, Moustafa Omar Ahmed Abu-Shawiesh

Journal of Modern Applied Statistical Methods

The median confidence interval is useful for one parameter families, such as the exponential distribution, and it may not need to be adjusted if censored observations are present. In this article, two estimators for the median of the exponential distribution, MD, are considered and compared based on the sample median and the maximum likelihood method. The first estimator is the sample median, MD1, and the second estimator is the maximum likelihood estimator of the median, MDMLE. Both estimators are used to propose a modified confidence interval for the population median of the exponential distribution, MD. Monte Carlo simulations ...


Nonlinear Trigonometric Transformation Time Series Modeling, K. A. Bashiru, O. E. Olowofeso, S. A. Owabumoye 2010 Osun State University, Osogbo, Osun State

Nonlinear Trigonometric Transformation Time Series Modeling, K. A. Bashiru, O. E. Olowofeso, S. A. Owabumoye

Journal of Modern Applied Statistical Methods

The nonlinear trigonometric transformation and augmented nonlinear trigonometric transformation with a polynomial of order two was examined. The two models were tested and compared using daily mean temperatures for 6 major towns in Nigeria with different rates of missing values. The results were used to determine the consistency and efficiency of the models formulated.


Incidence And Prevalence For A Triply Censored Data, Hilmi F. Kittani 2010 The Hashemite University, Jordan

Incidence And Prevalence For A Triply Censored Data, Hilmi F. Kittani

Journal of Modern Applied Statistical Methods

The model introduced for the natural history of a progressive disease has four disease states which are expressed as a joint distribution of three survival random variables. Covariates are included in the model using Cox’s proportional hazards model with necessary assumptions needed. Effects of the covariates are estimated and tested. Formulas for incidence in the preclinical, clinical and death states are obtained, and prevalence formulas are obtained for the preclinical and clinical states. Estimates of the sojourn times in the preclinical and clinical states are obtained.


A Comparison Between Unbiased Ridge And Least Squares Regression Methods Using Simulation Technique, Mowafaq M. Al-Kassab, Omar Q. Qwaider 2010 Al-al Bayt University, Mafraq, Jordan

A Comparison Between Unbiased Ridge And Least Squares Regression Methods Using Simulation Technique, Mowafaq M. Al-Kassab, Omar Q. Qwaider

Journal of Modern Applied Statistical Methods

The parameters of the multiple linear regression are estimated using least squares ( LS ) and unbiased ridge regression methods (B̂(KI,J)). Data was created for fourteen independent variables with four different values of correlation between these variables using Monte Carlo techniques. The above methods were compared using the mean squares error criterion. Results show that the unbiased ridge method is preferable to the least squares method.


Robust Estimators In Logistic Regression: A Comparative Simulation Study, Sanizah Ahmad, Norazan Mohamed Ramli, Habshah Midi 2010 saniz924@salam.uitm.edu.my

Robust Estimators In Logistic Regression: A Comparative Simulation Study, Sanizah Ahmad, Norazan Mohamed Ramli, Habshah Midi

Journal of Modern Applied Statistical Methods

The maximum likelihood estimator (MLE) is commonly used to estimate the parameters of logistic regression models due to its efficiency under a parametric model. However, evidence has shown the MLE has an unduly effect on the parameter estimates in the presence of outliers. Robust methods are put forward to rectify this problem. This article examines the performance of the MLE and four existing robust estimators under different outlier patterns, which are investigated by real data sets and Monte Carlo simulation.


A Ga-Based Sales Forecasting Model Incorporating Promotion Factors, Li-Chih Wang, Chin-Lien Wang 2010 Tunghai University, Taichung, Taiwan ROC

A Ga-Based Sales Forecasting Model Incorporating Promotion Factors, Li-Chih Wang, Chin-Lien Wang

Journal of Modern Applied Statistical Methods

Because promotions are critical factors highly related to product sales of consumer packaged goods (CPG) companies, predictors concerning sales forecast of CPG products must take promotions into consideration. Decomposition regression incorporating contextual factors offers a method for exploiting both reliability of statistical forecasting and flexibility of judgmental forecasting employing domain knowledge. However, it suffers from collinearity causing poor performance in variable identification and parameter estimation with traditional ordinary least square (OLS). Empirical research evidence shows that - in the case of collinearity - in variable identification, parameter estimation, and out of sample forecasting, genetic algorithms (GA) as an estimator outperform OLS consistently ...


Bayesian Analysis Of Location-Scale Family Of Distributions Using S-Plus And R Software, Sheikh Parvaiz Ahmad, Aquil Ahmed, Athar Ali Khan 2010 University of Kashmir, Srinagar, India

Bayesian Analysis Of Location-Scale Family Of Distributions Using S-Plus And R Software, Sheikh Parvaiz Ahmad, Aquil Ahmed, Athar Ali Khan

Journal of Modern Applied Statistical Methods

The Normal and Laplace’s methods of approximation for posterior density based on the location-scale family of distributions in terms of the numerical and graphical simulation are examined using S-PLUS and R Software.


Ann Forecasting Models For Ise National-100 Index, Ozer Ozdemir, Atilla Aslanargun, Senay Asma 2010 Anadolu University, Eskisehir, Turkey

Ann Forecasting Models For Ise National-100 Index, Ozer Ozdemir, Atilla Aslanargun, Senay Asma

Journal of Modern Applied Statistical Methods

Prediction of the outputs of real world systems with accuracy and high speed is crucial in financial analysis due to its effects on worldwide economics. Because the inputs of the financial systems are timevarying functions, the development of algorithms and methods for modeling such systems cannot be neglected. The most appropriate forecasting model for the ISE national-100 index was investigated. Box- Jenkins autoregressive integrated moving average (ARIMA) and artificial neural networks (ANN) are considered by using several evaluations. Results showed that the ANN model with linear architecture better fits the candidate data.


Markov Chain Analysis And Student Academic Progress: An Empirical Comparative Study, Shafiqah Alawadhi, Mokhtar Konsowa 2010 Kuwait University

Markov Chain Analysis And Student Academic Progress: An Empirical Comparative Study, Shafiqah Alawadhi, Mokhtar Konsowa

Journal of Modern Applied Statistical Methods

An application of Markov Chain Analysis of student flow at Kuwait University is presented based on a random sample of 1,100 students from the academic years 1996-1997 to 2004-2005. Results were obtained for each college and in total which allows for a comparative study. The students’ mean lifetimes in different levels of study in the colleges as well as the percentage of dropping out of the system are estimated.


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