| Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often connicting objectives. Since 1985, various evolutionary approaches to multiobjective optimization have been developed that are capable of searching for multiple solutions concurrently in a single run. However, the few comparative studies of diierent methods presented up to now remain mostly ...

Pelobatoidea is a clade of ancient anurans with obscure relationships to the remaining clades of frogs. We used partial sequences of two mitochondrial genes (cytochrome b and 16S RNA) from all Pelobatoidea subclades, including all species of Pelobatidae and Pelodytidae and four outgroup taxa (Xenopus, Ascaphus, Discoglossus, and Rana), to propose a phylogenetic hypothesis for relationships with...

All perinatal cases of group A streptococcal toxic shock syndrome (STSS) previously documented in English literature have been fatal for the mother, the fetus or both. We present the first report of successful treatment of a mother-infant pair with perinatal STSS. A pregnant woman developed STSS at 34 weeks’ gestation 3 h after delivery, following a 25-h history of fever and sore throat. The pa...

Airport ferry vehicles are used to transport passengers between the far apron and terminals. During peak hours of flight arrival or departure, demand for will increase, improper scheduling result in significant delays. In this study, we construct a 0–1 integer programming model with multiple objectives: minimize delays vehicle travel distances balance workloads when there is an insufficient num...

We present the V L3 near edge X-ray absorption fine structure (NEXAFS) of a vanadium phosphorus oxide (VPO) catalyst. The spe ctrum is related to the V3d-O2p hybridised unoccupied states. The overall peak position at the V L3-absorption edge is determined by the formal oxidation state of the absorbing vanadium atom. Details of the absorption fine structure are influenced by the geometric struct...

The primary objective of this paper is to put forward a general framework under which clear definitions of immune operators and their roles are provided. To this aim, a novel Population Adaptive Based Immune Algorithm (PAIA) inspired by Clonal Selection and Immune Network theories for solving multi-objective optimization problems (MOP) is proposed. The algorithm is shown to be insensitive to th...

BACKGROUND Chronic hepatitis B (CHB) is a global health problem that can result in serious complications associated with collagen degradation. Prolidase is a specific imidodipeptidase that plays an important role in the breakdown of collagen. The aim of this study was to investigate prolidase activity and oxidant-antioxidant status in children with CHB. METHODS This prospective case control s...

Evolutionary algorithms (EA’s) are often well-suited for optimization problems involving several, often conflicting objectives. Since 1985, various evolutionary approaches to multiobjective optimization have been developed that are capable of searching for multiple solutions concurrently in a single run. However, the few comparative studies of different methods presented up to now remain mostly...

When experiencing resource competition or abrupt environmental change, animals often must transition rapidly from an ancestral diet to a novel, derived diet. Yet, little is known about the proximate mechanisms that mediate such rapid evolutionary transitions. Here, we investigated the role of diet-induced, cryptic genetic variation in facilitating the evolution of novel resource-use traits that...

This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a SPEA ...