output
19922026
most citedSpecificity and stability in topology of protein networks

3.1k citations

Showing 2018Show all

207 papers · 1 filter

gr-qc2018★ 23 cited

Black Holes in the Turbulent Phase of Viscous Rip Cosmology

Iver Brevik, Mubasher Jamil

We study the phantom fluid in the late universe, thus assuming the equation of state parameter to be less than . The fluid is assumed to consist of two components, one lami…

cs.NI2018★ 11 cited

Evaluation of HTTP/DASH Adaptation Algorithms on Vehicular Networks

Dimitrios J. Vergados, Angelos Michalas, Katina Kralevska +1

Video streaming currently accounts for the majority of Internet traffic. One factor that enables video streaming is HTTP Adaptive Streaming (HAS), that allows the users to stream v…

cond-mat.mes-hall2018★ 27 cited

Magnon-polarons in cubic collinear Antiferromagnets

Haakon T. Simensen, Roberto E. Troncoso, Akashdeep Kamra +1

We present a theoretical study of excitations formed by hybridization between magnons and phonons - magnon-polarons - in antiferromagnets. We first outline a general approach to de…

physics.comp-ph2018★ 24 cited

Pressures inside a nano-porous medium. The case of a single phase fluid

Olav Galteland, Dick Bedeaux, Signe Kjelstrup

We define the pressure of a porous medium in terms of the grand potential, and compute its value in a nano-confined or nano-porous medium, meaning a medium where thermodynamic equa…

cs.IT2018★ 10 cited

Measured Channel Hardening in an Indoor Multiband Scenario

Golsa Ghiaasi, Jens Abraham, Egil Eide +1

A study of channel hardening in a large-scale antenna system has been carried out by means of indoor channel measurements over four frequency bands, namely 1.472 GHz, 2.6 GHz, 3.82…

cs.CL2018★ 3 cited

Word Embedding based on Low-Rank Doubly Stochastic Matrix Decomposition

Denis Sedov, Zhirong Yang

Word embedding, which encodes words into vectors, is an important starting point in natural language processing and commonly used in many text-based machine learning tasks. However…

astro-ph.HE2018★ 25 cited

Vela as the Source of Galactic Cosmic Rays above 100 TeV

M. Bouyahiaoui, M. Kachelriess, D. V. Semikoz

We model the contribution of the nearest young supernova remannt Vela to the local cosmic ray flux taking into account both the influence of the Local Superbubble and the effect of…

cond-mat.quant-gas2018★ 13 cited

Measuring the topological phase transition via the single-particle density matrix

Jun-Hui Zheng, Bernhard Irsigler, Lijia Jiang +2

We discuss the topological phase transition of the spin- fermionic Haldane model with repulsive on-site interaction. We show that the Berry curvature of the topologica…

cs.IR2018★ 9 cited

Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions

Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva +1

In recent years session-based recommendation has emerged as an increasingly applicable type of recommendation. As sessions consist of sequences of events, this type of recommendati…

math.NT2018★ 5 cited

Universality and distribution of zeros and poles of some zeta functions

Kristian Seip

This paper studies zeta functions of the form , with a completely multiplicative function taking only unimodular values. We denote by th…

cond-mat.mes-hall2018★ 17 cited

Thermal gradient driven domain wall dynamics

M. T. Islam, X. S. Wang, X. R. Wang

The issue of whether a thermal gradient acts like a magnetic field or an electric current in the domain wall (DW) dynamics is investigated. Broadly speaking, magnetization control…

math.RT2018★ 11 cited

Maximal -rigid pairs

Karin M. Jacobsen, Peter Jorgensen

Let be a -Calabi--Yau triangulated category, a cluster tilting object with endomorphism algebra . Consider the functor $\mathscr T( T,- ) : \mathscr T \right…

physics.data-an2018★ 37 cited

Establishing a common data base of ice experiments and using machine learning to understand and predict ice behavior

Leon Kellner, Merten Stender, Hauke Herrnring +4

Machine learning and statistical tools are applied to identify how parameters, such as temperature, influence peak stress and ice behavior. To enable the analysis, a common and sma…

hep-th2018

Casimir energy of an open string with angle-dependent boundary condition

A. Jahan, I. Brevik

We consider an open string with ends laying on the two different solid beams (rods). This set-up is equivalent to two scalar fields with a set of constraints at their end-points. W…

eess.SP2018★ 6 cited

Mode Shape Estimation using Complex Principal Component Analysis and k-Means Clustering

Hallvar Haugdal, Kjetil Uhlen

We propose an empirical method for identifying low damped modes and corresponding mode shapes using frequency measurements from a Wide Area Monitoring System. The method consists o…

math.AP2018★ 1 cited

Optimal stability results and nonlinear duality for entropy and viscosity solutions

Nathaël Alibaud, Jørgen Endal, Espen Robstad Jakobsen

We give a new and rigorous duality relation between two central notions of weak solutions of nonlinear PDEs: entropy and viscosity solutions. It takes the form of the nonlinear dua…

cs.LO2018

Sculptures in Concurrency

Uli Fahrenberg, Christian Johansen, Christopher A. Trotter +1

We give a formalization of Pratt's intuitive sculpting process for higher-dimensional automata (HDA). Intuitively, an HDA is a sculpture if it can be embedded in (i.e., sculpted fr…

physics.chem-ph2018★ 80 cited

An efficient algorithm for Cholesky decomposition of electron repulsion integrals

Sarai D. Folkestad, Eirik F. Kjønstad, Henrik Koch

We present an algorithm where only the Cholesky basis is determined in the decomposition procedure. This allows for improved screening and a partitioned matrix decomposition scheme…

cs.SE2018★ 360 cited

Knowledge Management in Software Engineering: A Systematic Review of Studied Concepts, Findings and Research Methods Used

Finn Olav Bjørnson, Torgeir Dingsøyr

Software engineering is knowledge-intensive work, and how to manage software engineering knowledge has received much attention. This systematic review identifies empirical studies…

math.AP2018

A remark on infinite initial values for quasilinear parabolic equations

Peter Lindqvist, Mikko Parviainen

We study the possibility of prescribing infinite initial values for solutions of the Evolutionary -Laplace Equation in the fast diffusion case . This expository note has be…

physics.comp-ph2018★ 5 cited

Characteristic methods and Roe's method for the incompressible two-fluid model for stratified pipe flow

Andreas Holm Akselsen

This article examines the use of characteristic methods in stratified two-phase pipe flow simulations for obtaining non-dissipative flow predictions. A Roe scheme and several metho…

physics.comp-ph2018★ 2 cited

A Dual Grid Method for the Compressible Two-Fluid Model which Combines Robust Flux Splitting Methodology with High-Resolution Capturing of Incompressible Dynamics

Andreas Holm Akselsen

The speed of sound in two-phase pipe flow systems is often several orders of magnitude greater than the travelling speed of hydraulic information (volume fractions.) Dynamically si…

cond-mat.mes-hall2018★ 19 cited

Spin current cross-correlations as a probe of magnon coherence

Scott A. Bender, Akashdeep Kamra, Wolfgang Belzig +1

Motivated by the important role of the normalized second order coherence function, often called , in the field of quantum optics, we propose a method to determine magnon c…

physics.flu-dyn2018★ 13 cited

Weakly non-linear transient waves on a shear current: Ring waves and skewed Langmuir rolls

A. H. Akselsen, Simen Å. Ellingsen

We investigate the weakly nonlinear dynamics of transient gravity waves at infinite depth under the influence of a shear current varying linearly with depth. An analytical solution…