Polymerase chain reaction-based methodologies have been developed for the identification of three commercially-relevant penaeid shrimp species, these were: Litopenaeus vannamei, Penaeus monodon and Fenneropenaeus indicus in food products.
In this paper a Linear Matrix Inequality (LMI) based methodology has been presented to design a time-driven controller to control a plant over a network with random variable delay (jitter) and packet dropout.
In view of this the preference selection index (PSI) approach based methodology has been applied using various performance criterions in order to determine the optimal design of the parameters which deliver maximum thermal performance with minimal increase in friction factor inside the collector duct.
Similar activity-based methodologies have been developed using functional protein microarray platforms to identify kinase substrates representing a broad spectrum of different biochemical functions and cellular roles [ 29].
In recent years, the network-based methodologies have been successfully introduced into the systems biology researches for drug discovering [ 2], identifying disease-related genes [ 10– 15], and revealing the molecular mechanisms of tumorigenesis [ 16– 16].
In contrast to the literature regarding adult-onset schizophrenia (AOS), comparative effectiveness studies in children and adolescents are limited in number and size, and only a few meta-analyses based on conventional methodologies have been conducted.
Previous 4C-Seq analysis methodologies have been based on various statistical models [ 9, 11– 15].
In the last years, to confront these issues, innovative cleaning methodologies have been proposed based on application of suitable hydrogels.
In our previous work, rapid detection methodologies have been established based on fluorescent nanobiosensors for simultaneous separation and detection of multiple foodborne pathogenic bacteria.
Up to now various methodologies have been applied based on the surface deflection bowl obtained under either a known moving wheel load or devices such as falling weight deflectometer.
Based on this notion, many innovative methodologies have been proposed to predict or prioritize protein-coding genes for complex diseases [ 1- 3, 7, 11, 12].
