Abstract: Disclosed are example embodiments of a methods and systems for analyzing and determining impact (or lack thereof) on any selected group or groups of employees of selected pay policies. An example includes a computer-implemented method for analyzing and determining impact on selected group of employees of selected pay policies. The method including receiving a first pay data for the selected group of employees. The method also including determining one or more controls for the selected group of employees. Additionally, the method including calculating an equitable pay range for the selected group of employees based on the one or more controls. The method also including receiving a user input, wherein the user input requests a second pay data relates to an employee, and is based on a selected control. The method also including calculating the second pay data; and sending the second pay data for display.

Abstract: The compounds and the synthesis of [F-18]-labeled L-glutamic acid, [F-18]-labeled L-glutamate, their derivatives as set forth in formula (I) and their uses are described.

Abstract: The compounds and the synthesis of [F-18]-labeled L-glutamic acid, [F-18]-labeled L-glutamate, their derivatives as set forth in formula (I) and their uses are described.

Abstract: The compounds and the synthesis of [F-18]-labeled L-glutamic acid, [F-18]-labeled L-glutamate, their derivatives as set forth in formula (I) and their uses are described.

Abstract: The invention comprises methods and devices that are developed using subject modeling functions of the form ƒa,b,c(t)=a exp (b(1−exp(−ct))). These methods and device are particularly useful in the study and interpretation of subject growth. The function parameters are calculated to give optimal curve fit to subject data, such as anthropometric growth date like weight, length, and head circumference as a function of an age measure, t. Preferably the subject is an infant and the age measure, t, is gestation-adjusted age. The fitted functions can be used to estimate subject sizes at a different, predetermined age, and the estimated sizes may be subjected to statistical analysis to determine which factors, if any, have affected growth of the infant.