ABC (ATP-binding cassette) transporters are arguably the most important family of ATP-driven transporters in biology. Despite considerable effort and advances in determining the structures and physiology of these transporters, their fundamental molecular mechanisms remain elusive and highly controversial. How does ATP hydrolysis by ABC transporters drive their transport function? Part of the pr...

The artificial bee colony algorithm (ABC), a population based algorithm, provides solutions with better accuracy compared to other competitive population based algorithms. However, it suffers from slow convergence speed. We suggest modifications in search strategy of ABC to improve overall performance and named this modified algorithm, Efficient ABC algorithm (EABC). The performance of EABC is ...

The study examines the perception of activity based costing (ABC) in Australian universities. Using a questionnaire survey, data was collected from twenty-six finance directors and/or chief financial officers in Australian universities. The perception of ABC implementation in Australian universities depends on many variables including the understanding of ABC, consideration of ABC as a strategi...

We develop abc-logitboost, based on the prior work on abc-boost[10] and robust logitboost[11]. Our extensive experiments on a variety of datasets demonstrate the considerable improvement of abc-logitboost over logitboost and abc-mart.

This work proposes an improved artificial bee colony (ABC) algorithm, called the rank-based ABC algorithm, which includes a rank-based selection mechanism in the onlooker bees phase and a modified abandonment mechanism in the scout bees phase for solving unconstrained and constrained optimization problems. In the onlooker bees phase, the probability that an onlooker bee selects a food source is...

this paper presents a new strategy based on multi-stage fuzzy (msf) pid controller based on artificial bee colony (abc) for damping power system stabilizer (pss) in multi-machine environment. the recent studies in artificial intelligence demonstrated that the abc optimization is strong intelligent method in complicated stability problems. also, finding the parameters of pid controller in power ...

Artificial Bee Colony (ABC) optimization algorithm is a swarm intelligence based nature inspired algorithm, which has been proved a competitive algorithm with some popular natureinspired algorithms. It is found that ABC is more efficient in exploration as compare to exploitation. With a motivation to balance exploration and exploitation capabilities of ABC, this paper presents an adaptive versi...

We study the impact of activity-based costing (ABC) on adoption of world-class manufacturing (WCM) practices and plant performance. In contrast to earlier research that estimates the direct impact of ABC on plant performance, we develop an alternative research model to study the role of world-class manufacturing practices as a mediator of the impact of ABC. Analysis of data from a large cross-s...

MOTIVATION The growing field of systems biology has driven demand for flexible tools to model and simulate biological systems. Two established problems in the modeling of biological processes are model selection and the estimation of associated parameters. A number of statistical approaches, both frequentist and Bayesian, have been proposed to answer these questions. RESULTS Here we present a...