A common approach in resolving enantiomers of chiral basic drugs by capillary electrophoresis (CE) is to use cyclodextrins (especially their anionic derivatives) as chiral selector in the acidic buffer (pH ≤ 3) in normal or reversed (carrier) mode. Then, some organic modifiers are added to the buffer solution if the resolution is not satisfactory. In case of cetirizine (CTN), applying the same ...

manufactured single crystal components using ni-base super alloys are routinely used in the hotsections of aero engines and industrial gas turbines due to their outstanding high temperaturestrength, toughness and resistance to degradation in corrosive and oxidative environments. tocontrol the quality of the single crystal turbine blades, particular attention has been paid to grainselection, whi...

Garbage collection algorithms are widely used in programming languages like Java. However, selecting the most suitable garbage (GC) algorithm for an application is a complex task since they behave differently regarding crucial performance metrics such as pause time, throughput, and memory usage. This challenge particularly more complicated there currently no available tool to assist users/devel...

The performance of telephone-based speaker verification systems can be severely degraded by linear and non-linear acoustic distortion caused by telephone handsets. This paper proposes to combine a handset selector with stochastic feature transformation to reduce the distortion. Specifically, a GMMbased handset selector is trained to identify the most likely handset used by the claimants, and th...

We compare several adaptive design strategies using a data set of 223 M2AX family of compounds for which the elastic properties [bulk (B), shear (G), and Young's (E) modulus] have been computed using density functional theory. The design strategies are decomposed into an iterative loop with two main steps: machine learning is used to train a regressor that predicts elastic properties in terms o...

In this paper, we discuss some aspects of selectional behavior of dot objects, and present an algorithm for clustering selector contexts for dot nominals according to the selected type. The clustering algorithm is based on the notion of contextualized similarity between selector contexts and defines a similarity measure for contextual equivalents of the target nominal.

Positive-unlabeled learning (PU learning) is an important case of binary classification where the training data only contains positive and unlabeled samples. The current state-of-the-art approach for PU cost-sensitive approach, which casts as a problem relies on unbiased risk estimator correcting bias introduced by However, this requires knowledge class prior subject to potential label noise. I...

Method look-up for dynamically typed object-oriented languages, such as SMALLTALK-80 or OBJECTIVE-C, is usually implemented by a cached inheritance search. Unfortunately, this technique is slow. A selector-indexed dispatch table implementation speeds up messages to within 10% of the speed of a statically typed language such as C++. We present a fast technique for generating compact selector-ind...