BACKGROUND It has been shown that cytochrome P450 enzymes (CYPs) and acetyltransferase can be used as biomarkers of carcinogen-DNA adduct levels and human cancer susceptibility. The gastrointestinal tract is the portal of entry of foreign compounds and presents xenobiotic metabolizing N-acetyltransferase (NAT) and CYPs activities. 5-Methoxypsoralen (5-MOP) has been used in combination with UV r...

Large-scale multi-objective optimization problems (LS-MOP) are complex problems with a large number of decision variables. Due to its high-dimensional decision space, LS-MOP poses a significant challenge to multi-objective optimization methods including multiobjective evolutionary algorithms (MOEAs). Following the algorithmic framework of multiobjective evolutionary algorithm based on decomposi...

In this paper we examine the build order problem in real-time strategy (RTS) games in which the objective is to optimize execution of a strategy by scheduling actions with respect to a set of subgoals. We model the build order problem as a multi-objective problem (MOP), and solutions are generated utilizing a multiobjective evolutionary algorithm (MOEA). A three dimensional solution space is pr...

Wireless sensor networks are emerging and involved in a wide range of applications. Improving energy efficiency is significant task WSNs. Energy consumption crucial problem that affects the network lifetime due to limitations nodes. So, it's required introduce more energy-efficient protocols for Different types solutions exist The optimized controlled if clustering an efficient data collection ...

A multi-objective optimization problem (MOP) is a simultaneous of more than one real-valued conflicting objective function subject to some constraints. Most MOP algorithms try provide set Pareto optimal solutions which are equally good in terms the functions. The can be infinite, and hence, analysis choice task or several among hard for decision maker (DM). In this paper, new scalarization appr...

Meta-programming has shown much promise for improving the quality of software by offering programming language techniques to address issues of modularity, reusability, maintainability, and extensibility. A system that supports metaprogramming is able to generate or manipulate other programs to extend their behavior. This paper describes OpenFortran, a Meta-Object Protocol (MOP) that is able to ...

AspectS is an approach to general-purpose aspect-oriented programming in the Squeak/Smalltalk environment. Based on the language model of AspectJ, it extends the Smalltalk MOP to accommodate the aspect modularity mechanism. In contrast to AspectJ, weaving in AspectS happens dynamically at runtime.

Receiver operating characteristic (ROC) is usually used to analyse the performance of classifiers in data mining. An important ROC analysis topic is ROC convex hull(ROCCH), which is the least convex majorant (LCM) of the empirical ROC curve, and covers potential optima for the given set of classifiers. Generally, ROC performance maximization could be considered to maximize the ROCCH, which also...