Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hydrophobic descriptors and to discriminate between intrinsic hydrophobicity and polar contributions as hydrogen bonds and other electronic effects. PCA of log P values measured for 37 solutes in eight solventwater systems and of hydrophobic octanol-water substituent constants  for 25 metaand para...

herbal water is referred to the liquid obtained from the distillation of medicinal plants. different parts of plants, such as flowers, fruits, leaves, seeds and roots have long been used to produce herbal waters. herbal waters are used as dietary supplements and alternative medicine and are commonly used for flavoring in baking. previous studies focused on the non-volatile constituents of herbs...

eight faba bean genotypes and one local (barkat) as control were evaluated for three successive years (2000-2003) in a randomized complete block design (rcbd) with four replications at gorgan agricultural research station. this study was carried out to determine the morphological traits, yield components and yield stability to select the best genotypes. simple and combined analysis of variance ...

NMR studies on the denatured states of proteins indicate that residual structure often resides predominantly in hydrophobic clusters. Such hydrophobic cluster formation implies burial of apolar surface and, consequently, is expected to cause a decrease in heat capacity. We report here that, in the case of ribonuclease H from the thermophile Thermus thermophilus, a sharp decrease in denatured-st...

To investigate the cooperativity of hydrophobic interactions, the potential of mean force of two- and three-molecule methane clusters in water was determined by molecular dynamics simulations using two methods: umbrella-sampling with the weighted histogram analysis method and thermodynamic integration. Two water models, TIP3P and TIP4P, were used, while each methane molecule was modeled as a un...

This study proposes the model for interpolating time series to use them  to forecast effectively for future. This model is established based on the improved fuzzy clustering analysis problem, which is implemented by the Matlab procedure. The proposed model is illustrated by a data set and tested for many other datasets, especially for 3003 series in  M3-Competition data. Comparing  to the exist...

objective: flowering time (ft) in cereals controlled by genes that had a main factor on plant development. methods: genetic and phenotypic diversity of four flowering time genes (ft2, ft3, ft4, ppd-h1) in 19 genotypes of cultivated and wild barley was evaluated and a total of 107 alleles were amplified. genotypes based on days to flowering time and molecular data were grouped into early, middle...

background: selecting the correct statistical test and data mining method depends highly on the measurement scale of data, type of variables, and purpose of the analysis. different measurement scales are studied in details and statistical comparison, modeling, and data mining methods are studied based upon using several medical examples. we have presented two ordinal–variables clustering exampl...