20 papers · ranked by Valyu relevance
Vyacheslav A. Trofimov, Evgeny M. Trykin, Chih-Chun Chien
We investigate the effectiveness of using the Rosenbrock method for numerical solution of 1D nonlinear Schrödinger equation (or the set of equations) with artificial boundary conditions (ABCs). We compare the computer simulation results obtained during long time interval at using the finite-difference scheme based on…
Eugene Poh, Jordan A. Taylor
Studies on generalization of learned visuomotor perturbations has generally focused on whether learning is coded in extrinsic or intrinsic reference frames. This dichotomy, however, is challenged by recent findings showing that learning is represented in a mixed reference frame. Overlooked in this framework is how…
Sávio B. Rodrigues
In numerical time-integration with implicit-explicit (IMEX) methods, a within-step adaptable decomposition called residual balanced decomposition is introduced. With this decomposition, the requirement of a small enough residual in the iterative solver can be removed, consequently, this allows to exchange stability for…
Qingde Li, Qingqi Hong, Quan Qi, Xinhui Ma + 2 more
Surface-based geometric modeling has many advantages in terms of visualization and traditional subtractive manufacturing using computer-numerical-control cutting-machine tools. However, it is not an ideal solution for additive manufacturing because to digitally print a surface-represented geometric object using a…
Bernard Marius ’t Hart, Urooj Taqvi, Raphael Q. Gastrock, Jennifer E. Ruttle + 2 more
Both implicit (unconscious, automatic) and explicit (effortful, strategic) processes contribute to various kinds of learning^1^, including visuomotor adaptation^2–4^. Implicit adaptation may be capped at some level^5^, regardless of the level of explicit adaptation, or implicit and explicit adaptation could be linearly…
Lisa-Marie Vortmann, Felix Putze, Marco Porta, Pawel Kasprowski + 2 more
Statistical measurements of eye movement-specific properties, such as fixations, saccades, blinks, or pupil dilation, are frequently utilized as input features for machine learning algorithms applied to eye tracking recordings. These characteristics are intended to be interpretable aspects of eye gazing behavior.…
Hong Zhang, Adrian Sandu
Implicit-explicit (IMEX) time stepping methods can efficiently solve differential equations with both stiff and nonstiff components. IMEX Runge-Kutta methods and IMEX linear multistep methods have been studied in the literature. In this paper we study new implicit-explicit methods of general linear type (IMEX-GLMs). We…
Alessia Lucca, Saray Busto, Michael Dumbser
We present a novel fully implicit hybrid finite volume/finite element method for incompressible flows. Following previous works on semi-implicit hybrid FV/FE schemes, the incompressible Navier-Stokes equations are split into a pressure and a transport-diffusion subsystem. The first of them can be seen as a Poisson type…
Tommaso Buvoli, Ben S. Southworth
In this paper we generalize the polynomial time integration framework to additively partitioned initial value problems. The framework we present is general and enables the construction of many new families of additive integrators with arbitrary order-of-accuracy and varying degree of implicitness. In this first work…
Authors not listed
Understanding and manipulating the conformational behavior of a molecule in different solvent environments is of great interest in the fields of drug discovery and organic synthesis. Molecular dynamics (MD) simulations with solvent molecules explicitly present are the gold standard to compute such conformational…
Angelamaria Cardone, Z. Jackiewicz, Hong Zhang, Adrian Sandu
For many systems of differential equations modeling problems in science and engineering, there are natural splittings of the right hand side into two parts, one non-stiff or mildly stiff, and the other one stiff. For such systems implicit-explicit (IMEX) integration combines an explicit scheme for the non-stiff part…
Sandra Plancade, Magali Berland, Melisande Blein-Nicolas, Olivier Langella + 2 more
One of the difficulties encountered in the statistical analysis of metaproteomics data is the high proportion of missing values, which are usually treated by imputation. Nevertheless, imputation methods are based on restrictive assumptions regarding missingness mechanisms, namely “at random” or “not at random”. To…
William Poole, David L. Gibbs, Ilya Shmulevich, Brady Bernard + 1 more
Motivation: Combining P-values from multiple statistical tests is a common exercise in bioinformatics. However, this procedure is non-trivial for dependent P-values. Here we discuss an empirical adaptation of Brown’s Method (an extension of Fisher’s Method) for combining dependent P-values which is appropriate for the…
Jose L. Medina-Franco, Edgar López-López, Johny R. Rodríguez-Pérez, Héctor F. Cortés-Hernández + 1 more
In Chemoinformatics, as in many other computational-related disciplines, it is a common practice to identify the “single best” approach or methodology, for instance, identify the best fingerprint representation, the best single virtual screening approach or protocol, the optimal representation of the chemical space…
Authors not listed
The complete active space second-order perturbation theory (CASPT2) is valuable for accurately predicting electronic structures and transition energies. However, optimizing molecular geometries in the solution phase has proven challenging. In this study, we develop analytic first-order derivatives of CASPT2 using an…
Mehrdad J. Gangeh, Robert P. W. Duin, Bart M. ter Haar Romeny, Mohamed S. Kamel
'Mohamed S. Kamel'] Textures often show multiscale properties and hence multiscale techniques are considered useful for texture analysis. Scale-space theory as a biologically motivated approach may be used to construct multiscale textures. In this paper various ways are studied to combine features on different scales…
James Gabbard, Thomas Gillis, Philippe Chatelain, Wim M. van Rees
We present an immersed interface method for the vorticity-velocity form of the 2D Navier Stokes equations that directly addresses challenges posed by multiply connected domains, nonconvex obstacles, and the calculation of force distributions on immersed surfaces. The immersed interface method is re-interpreted as a…
Satish E. Viswanath, Pallavi Tiwari, George Lee, Anant Madabhushi
Background With a wide array of multi-modal, multi-protocol, and multi-scale biomedical data being routinely acquired for disease characterization, there is a pressing need for quantitative tools to combine these varied channels of information. The goal of these integrated predictors is to combine these varied sources…
Meike Scheller, Marko Nardini
Studying how sensory signals from different sources (sensory cues) are integrated within or across multiple senses allows us to better understand the perceptual computations that lie at the foundation of adaptive behaviour. As such, determining the presence of precision gains - the classic hallmark of cue combination -…
Rajiv Singh, Ashish Khare
Wavelet transforms have emerged as a powerful tool in image fusion. However, the study and analysis of medical image fusion is still a challenging area of research. Therefore, in this paper, we propose a multiscale fusion of multimodal medical images in wavelet domain. Fusion of medical images has been performed at…