Flour particle size distribution is a major factor affecting the milling behaviour in common wheats (Triticum aestivum L.). This study evaluated a new method to evaluate the milling behaviour of Japanese wheat varieties, and determine the relationship between flour yield and median flour particle size. To investigate the higher flour yielding varieties in Japanese wheats, the flour yield of one hundred sixty-five Japanese common wheat varieties were investigated in relation to median and mean flour particle size, and also, the flour particle size distribution patterns as determined by laser diffraction. The results showed that hard and soft wheat varieties differed in median flour particle size and particle distribution patterns. Eighty percent of the Japanese wheat varieties had soft or medium-soft particle size distribution patterns. Also, flour yield was most strongly associated with the median flour particle size in the flour samples. These results indicate the potential to develop a flour yield evaluation method in Japanese udon-noodle wheat varieties using laser diffraction methods, and that median flour particle size analysis could be a useful indicator in flour quality for udon-noodle wheat breeding and evaluation.
Authors:Daeyoung Roh, Soo-Young Bhang, Jung-Seok Choi, Yong Sil Kweon, Sang-Kyu Lee, and Marc N. Potenza
implicit association measurements. Step-wise multipleregressionanalysis was used to adjust for relevant covariates and to explore the psychometric properties associated with the IAT for smartphone and Internet addictions. All statistical analyses were
Authors:V. K. Agrawal, S. Bano, and P. V. Khadikar
QSAR studies on a set of 36 congeners of 4-aminodiphenylsulfone derivatives with measured inhibition potencies of dihydropterate synthase were made using multiple regression analysis. Conformational entropy in combination with indicator parameters gave excellent results.
Authors:Maayan Levit, Ayelet Weinstein, Yitzhak Weinstein, Dana Tzur-Bitan, and Aviv Weinstein
. Comparisons between groups of athletes (professional vs. amateur athletes and individual vs. group athletes) were done using t -tests. Correlations between variables were done using Pearson’s correlation tests. Multipleregressionanalysis was performed to
Authors:Tatjana Djaković-Sekulić, Costel Sârbu, and Nada Perišić-Janjić
Chromatographic retention data
of some benzimidazole and benztriazole derivatives have been estimated by reversed-phase thin-layer chromatography on paraffin oil-impregnated silica gel plates with methanol-water mixtures as mobile phases. A quantitative structure-retention relationship (QSRR) correlation study was performed on a matrix containing retention data derived from chromatographic regression, retention scores provided by principal-components analysis (PCA), and different computed molecular descriptors. By means of multiple regression analysis statistically significant equations relating lipophilicity (estimated as
values) to different descriptors were derived for the sixteen compounds.
Sweat samples collected from different places of the body of four normal and five Cf children were analyzed by PIXE. Comparison were made of sweat rates and sweat thresholds in these two groups of subjects. After presentation of the protocol of the sweat test, sample preparation and PIXE analysis of sweat samples are described. Statistical analysis of data is also developed. Six elements (Na, Cl, Mn, Cu, Br and Ca) are found to be significantly different between the two groups. A multiple regression analysis allows to obtain an equation of the state of health for each patient.
In this study pedotransfer functions (PTFs) were developed to estimate the soil water retention curves (SWRCs) for Rye Island (Csallóköz, S. W. Slovakia). A representative set of soil water retention curves was measured using a laboratory method on samples taken from soils the study area. Particle size distribution and bulk density were determined as well. Multiple regression analysis was used for estimating nine statistical relationships in order to predict the drying part of the SWRCs. Texture and bulk density were used as predictors. Pedotransfer functions were verified on another set of measured water retention curves from the same territory as well as on SWRCs determined for soils of the Szigetköz region in Hungary. A good agreement was found between the calculated and measured SWRCs for the Slovakian soils, while somewhat poorer estimates could be given for Hungarian soils.
Authors:R. Verma, B. Sarkar, R. Gupta, and A. Varma
Grain and malt traits important for malting quality were studied on a set of 131 genotypes including two and six row types barley of indigenous and exotic origin grown at two locations for two seasons. Observations on seven grain and seven malt traits were recorded and malting was done with Phoenix® automatic micro-malting system. The correlation studies indicated that the hot water extract (HWE) is correlated with a number of grain (hectolitre weight, plump %, thin %, protein %, TGW and hull %) and malt (friability, homogeneity, wort viscosity, filtration rate and Kolbach Index) traits either positively or negatively. The multiple regression analysis indicated that hectolitre weight, TGW, hull content and malt friability can be used to predict HWE, the ultimately important trait with malting and brewing industry, in early generations of a breeding programme or for initial screening of germplasm accessions.
Authors:N. Bakir, H. Ilyasoglu, A. Yucetepe, K.N. Kasapoglu, E. Demircan, and B. Ozcelik
The aim of this study was to synthesize structured lipid from hazelnut oil with conjugated linoleic acid (CLA) by lipase-catalyzed esterification reaction. The incorporation of CLA into hazelnut oil was optimized by response surface methodology (RSM). Substrate molar ratio, time, and temperature were independent variables chosen for optimization of the reaction. Substrate molar ratio was the most significant variable on the incorporation of conjugated linoleic acid. Good quadratic model was achieved by multiple regression analysis and backward elimination. Optimal incorporation conditions were determined as follows: reaction temperature, 59 °C; time, 6 hours; substrate molar ratio, 4. Under these optimum conditions, a maximum incorporation ratio of CLA into hazelnut oil of 49.42% was achieved.