The main goal of this paper is to propose a new practical method for hydrologic soil group estimation in surface runoff process based on geomorphology facieses and slop. The determination of CN based on this method can reduce the time and cost of project. In this research the upstream rivers of Glinak Watershed have been used as a case study to examine the efficiency of proposed method with a c...

This paper presents a new method for reconstructing curves and surfaces from unstructured point clouds, allowing for noise in the data as well as inhomogeneous distribution of the point set. It is based on the observation that the curve/surface is located where locally the point cloud has highest density. This idea is pursued by a differential geometric analysis of a smoothed version of the den...

OBJECTIVE To evaluate the learning curve of cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) in treating peritoneal surface malignancies (PSM). SUMMARY AND BACKGROUND CRS and HIPEC to treat PSM is a complex procedure with a significant morbidity. A long-lasting training program is required to acquire expertise in this type of operation. METHODS We performed ...

Nucleic acid Melting Curve Analysis is a powerful method to investigate the interaction of double stranded nucleic acids. Many researchers rely on closed source software which is not ubiquitously available, and gives only little control over the computation and data presentation. R in contrast, is open source, highly adaptable and provides numerous utilities for data import, sophisticated stati...

We obtain estimates of a surface θ : Rd → R by first finding the coefficient vector β(x) that minimizes a distance between θ(z) and an approximating function θ(z−x;β) for z in a neighborhood of a given point x ∈ Rd, next expressing this β(x) as a functional β(x;G) of a surface G : Rq → R that admits an empirical estimate Ĝ(·), and then using the empirical plug-in approach with β̂(x) = β(x; Ĝ) an...

For a number of computational purposes, including visualization of scientific data and registration of multimodal medical data, smooth curves must be approximated by polygonal curves, and surfaces by polyhedral surfaces. An inherent problem of these approximation algorithms is that the resulting curves and surfaces appear faceted. Boundary-following and iso-surface construction algorithms are t...

Building surfaces from cross-section curves has wide applications including bio-medical modeling. Previous work in this area has mostly focused on connecting simple closed curves on parallel cross-sections. Here we consider the more general problem where input data may lie on non-parallel cross-sections and consist of curve networks that represent the segmentation of the underlying object by di...

This paper demonstrates how to apply the method of coupling from the past (CFTP) (Propp and Wilson, 1996) to the problem of sampling orthogonal predictors in the Bayes linear model. Using CFTP we construct a coupled Gibbs sampler that automatically determines its own run time to convergence. This removes the need to rely on approximate convergence diagnostics as in usual Markov chain Monte Carl...