BACKGROUND Reproducibility of results is important for the validity of genetic association studies. Recently, 3 functional polymorphisms, G(-930)A in CYBA, T481S in CLCNKB, and E65K in KCNMB1, were reported to be associated with blood pressure (BP) status and the aim of this study was to confirm those findings using a large cohort representing the general Japanese population. METHODS AND RESU...

The kidney plays an important role in salt and blood pressure (BP) homeostasis. In previous studies, variants in the genes for -adducin (ADD1), WNK1, and NEDD4L, which all regulate renal sodium absorption, have been associated with increased BP. However, findings have been inconsistent. We tested whether this is because of physiological interactions between the effects of variants in these gene...

This paper describes a novel method of training feed forward neural networks using genetic algorithm. There has been a lot of work done in trying to evolve neural networks using GA. Most of the existing works evolve the architecture and then train it using a BP algorithm or they fix the architecture of the ANN and then evolve the weights using GA. The few attempts which evolve both the architec...

marek’s disease (md) is a lymphoproliferative disease of chickens characterized by lymphocyticinfiltration of various organs. the present study was an attempt to use polymerase chain reaction (pcr) tooptimize a rapid and reliable assay for detection of mdv genome. detection of serotype 1 of mdv (mdv-1)was confirmed by presence of a 200 bp dna fragment as a pcr product. differentiation of mdv-1 ...

With the aging trend in megacities, travel behaviors of elderly have attracted much attention. Accurate prediction is a key link to meet traffic demand and public facilities’ optimization. The aim this paper was explore between characteristics variables daily activities elderly. Based on stratified sampling survey, internal relationship their behavior studied discussed work. A novel grey correl...

Several optimization algorithms based on the Back Propagation (BP) neural network are often used to improve fitting accuracy of GNSS height anomaly. However, performance and applicability these have not been systematically studied. This study takes two kinds GNSS/leveling points with different spatial distributions as examples, evaluates commonly genetic algorithm (GA), simulated annealing (SA)...

Precise estimation of reference evapotranspiration (ET0) is significant importance in hydrologic processes. In this study, a genetic algorithm (GA) optimized back propagation (BP) neural network model was developed to estimate ET0 using different combinations meteorological data across various climatic zones and seasons China. Fourteen locations were selected represent five major climates. Mete...