Total concentration of selenium (Se) was determined by HPLC after treatment of the wet digested solution (HNO3 and HClO4) of the samples with 2,3-diaminonaphthalene and extraction with cyclohexane. Total concentrations of carbon (C) and nitrogen (N) were determined by the dry combustion method, and those of silicon (Si) and oxygen (0) were determined

by calculation. The medians of the total concentrations of the 10 major elements were 504 g O kg(-1), 291 g Si kg(-1), 76.6g Al kg(-1), 36.8 g Fe kg(-1), 24.8 g C kg(-1), 15.0 g K kg(-1), 14.3 g Na kg(-1), 11.9 g Ca kg(-1), 8.78 g Mg kg(-1) and 3.82 g Ti kg(-1), which accounted selleck kinase inhibitor for 98.7% of the total. The medians of the others were 2.15 g N kg(-1), 1.43 g P kg(-1), 705 mg Mn kg(-1), 394 mg Ba kg(-1), :140 mg V kg(-1), 125 mg Sr kg(-1), 90.5 mg Zn kg(-1), 24.5 mg Cu kg(-1), 14.3 mg Ni kg(-1) and 0.42 mg Se kg(-1). In terms of soil type, volcanic soils had relatively high Al, Fe, C, N and P contents

and alluvial soils had relatively high Si, K and Ba contents, whereas red yellow soils had extremely low Ca, Mg and Na contents. www.selleckchem.com/products/Adriamycin.html In terms of land use, upland soils had significantly higher Al, Fe, C, Ca, Mg, Ti, N, P, Mn, V and Se contents and lower Si, K and Ba contents than paddy soils. Cluster analysis of elemental composition of agricultural

soils grouped regions in Japan into three groups: (1) Okinawa region, (2) Hokkaido, Tohoku, Kanto, Chugoku and Kyushu regions, and 3) Hokuriku-Chubu, Kinki and Shikoku regions, reflecting their soil types. In conclusion, these data can be used as basic information on which development of sustainable agriculture and promotion of environmental conservation is to be established.”
“Computer-aided detection and diagnosis (CAD) of colonic polyps always faces the challenge of classifying imbalanced data. In this paper, three new operating point selection strategies based on receiver Panobinostat ic50 operating characteristic curve are proposed to address the problem. Classification on imbalanced data performs inferiorly because of a major reason that the best differentiation threshold shifts due to the degree of data imbalance. To address this decision threshold shifting issue, three operating point selection strategies, i.e., shortest distance, harmonic mean and anti-harmonic mean, are proposed and their performances are investigated. Experiments were conducted on a class-imbalanced database, which contains 64 polyps in 786 polyp candidates. Support vector machine (SVM) and random forests (RFs) were employed as basic classifiers. Two imbalanced data correcting techniques, i.e.