Diffusion tensor imaging (DTI) provides information about the microstructure in the brain and spinal cord. While new neuroimaging techniques have significantly advanced the accuracy and sensitivity of DTI of the brain, the quality of spinal cord DTI data has improved less. This is in part due to the small size of the spinal cord (ca. 1cm diameter) and more severe instrumental (e.g. eddy current...

Designing an effective curriculum to teach software engineering to beginning students is challenging. An objects-first course prepares students in an excellent way for the software engineering requirements in industry and academia by focusing on program design, thereby enabling students to write correct, robust, flexible, and extensible software. This paper outlines the effects of an object-ori...

The main scope of this work is the optimization of the Superconducting Radio Frequency (SRF) accelerating cavity design for the Berlin Energy Recovery Linac Project (BERLinPro). BERLinPro shall serve as a demonstrator for 100-mA-class Energy Recovery Liniac (ERL) with CW LINAC technology. High-current operation requires an effective damping of Higher-OrderModes (HOMs) of the 1.3 GHz main-linac ...

We consider the problem of fitting a parametric curve to a given point cloud (e.g., measurement data). Least-squares approximation, i.e., minimization of the l2 norm of residuals (the Euclidean distances to the data points), is the most common approach. This is due to its computational simplicity [1]. However, in the case of data that is affected by noise or contains outliers, this is not alway...

Taguchi method has been widely used for parameter design in many industrial applications. Nevertheless, it has been the subject of discussion and much debate in different platforms. This research proposes an extension to ongoing research by investigating the alpha error of Taguchi method with two-, three-, and four-level orthogonal arrays (OAs) for the nominal-the-best (NTB) type quality charac...

In this paper we propose an iterative method for solving the inhomogeneous systems of linear equations associated with density fitting. The proposed method is based on a version of the conjugate gradient method that makes use of automatically built quasi-Newton preconditioners. The paper gives a detailed description of a parallel implementation of the new method. The computational performance o...

This paper considers linear models with misspeciication of the form f(x) = E(yjx) = P p j=1 j g j (x) + h(x), where h(x) is an unknown function. We assume that the true response function f comes from a reproducing kernel Hilbert space and the estimates of the parameters j are obtained by the standard least squares method. A sharp upper bound for the mean squared error is found in terms of the n...

Bismuth telluride (Bi2Te3) two-dimensional (2D) nanosheets prepared by van der Waals epitaxy were successfully detached, transferred, and suspended for nano-indentation measurements to be performed on freestanding circular nanosheets. The Young's modulus acquired by fitting linear elastic behaviors of 26 samples (thickness: 5-14 nm) is only 11.7-25.7 GPa, significantly smaller than the bulk in-...