Background. Understanding species distribution, especially areas of overlapping habitat between sympatric species, is essential for informing conservation through natural habitat protection. New protection strategies should simultaneously consider conservation efforts for multiple species that exist within the same landscape, which requires studies that include habitat overlap analysis. Methods...

This review introduces some commonly used methods for assessing the performance of a diagnostic test. The sensitivity, specificity and likelihood ratio of a test are discussed. The uses of the receiver operating characteristic curve and the area under the curve are explained.

Species distribution modeling was used to determine factors among the large predictor candidate data set that affect the distribution of Muscari latifolium, an endemic bulbous plant species of Turkey, to quantify the relative importance of each factor and make a potential spatial distribution map of M. latifolium. Models were built using the Boosted Regression Trees method based on 35 presence ...

When Bill Clinton embraced national service as one of his administration’s priorities, he took a step forward on two of his key initiatives. Not only was national service a new initiative in its own right, but Clinton also held it up as a model of his efforts to reinvent government. It would be an exemplar of government that is catalytic, competitive, decentralized, and results oriented. This c...

Using AUC-based dosing compensates for variations in renal function between and within individual patients. It does not adjust for other factors such as previous chemotherapy, previous radiotherapy, or performance status. One empiric method to adjust for these factors would be reduction of the ideal AUC. However, because AUC-based dosing accounts for variations in renal function, this would not...

Many current dose-response methods assume a parametric shape of some form and do not accommodate comparisons between methods. Motivated by a need to be able to compare dose-response curves without assuming a parametric shape to the dose-response curve, we applied our technique to model them by non-parametric smoothing methods and also estimate area under the curves. Given that we do not know th...

This paper presents a case study which is the test of a voicebased service. To develop this application, we propose new functionalities for testing languages and a new language called LaTe that implements them. With LaTe, one testing scenario can describe several different executions and the interpreter tries to find the execution that best fits with the real behavior of the System Under Testin...

Methods This is an observational prospective cohort study. Population is composed of adults hospitalized in ICU of the Service of Burns near University Hospital Center, Tirana, Albania for 5 years(2010-2015).Patients are grouped according glucose values on three categories: Patients with Euglycemia ( 80-120 mg/dL), Moderate Hyperglycemia (121-180 mg/dL) and Critical Hyperglycemia (> 180 mg/dL )...

Colorectal cancer (CRC) is among the leading causes of cancer deaths and can be caused by environmental factors as well as genetic factors. Therefore, we developed a prediction model of CRC using genetic risk scores (GRS) and evaluated the effects of conventional risk factors, including family history of CRC, in combination with GRS on the risk of CRC in Koreans. This study included 187 cases (...

Genomic prediction shows promise for personalised medicine in which diagnosis and treatment are tailored to individuals based on their genetic profiles for complex diseases. We present a theoretical framework to demonstrate that prediction accuracy can be improved by targeting more informative individuals in the data set used to generate the predictors ("discovery sample") to include those with...