November 2018 arXiv papers — page 94
Showing 9,301–9,400 of 13,020 papers
Kevin Costello, Thomas Creutzig, Davide Gaiotto
We formulate a conjectural relation between the category of line defects in topologically twisted 3d ${\cal N} = 4$ supersymmetric quantum field theories and categories of modules for Vertex Operator Algebras of boundary local operators for the theories. We test the conjecture in several examples and provide some partial proofs for standard classes of gauge
An annotated list of bivalent chromatin regions in human ES cells: a new tool for cancer epigenetic research
q-bio.GNFranck Court, Philippe Arnaud
CpG islands (CGI) marked by bivalent chromatin in stem cells are believed to be more prone to aberrant DNA methylation in tumor cells. The robustness and genome-wide extent of this instructive program in different cancer types remain to be determined. To address this issue we developed a user-friendly approach to integrate the stem cell chromatin signature i
J. Lemettinen, H. Okumura, T. Palacios, S. Suihkonen
We present the electrical characterization of N-polar AlN layers grown by metal-organic vapor phase epitaxy and the demonstration of N-polar AlN-channel metal-semiconductor field-effect transistors (MESFETs). A high concentration of silicon is unintentionally incorporated during the high-temperature growth of N-polar AlN, causing high buffer leak current. Th
Imprinting control regions (ICRs) are marked by mono-allelic bivalent chromatin when transcriptionally inactive
q-bio.GNStéphanie Maupetit-Méhouas, Bertille Montibus, David Nury, Chiharu Tayama
Parental allele-specific expression of imprinted genes is mediated by imprinting control regions (ICRs) that are constitutively marked by DNA methylation imprints on the maternal or paternal allele. Mono-allelic DNA methylation is strictly required for the process of imprinting and has to be faithfully maintained during the entire lifespan. While the regulat
Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang
In this paper, we study the problem of matrix recovery, which aims to restore a target matrix of authentic samples from grossly corrupted observations. Most of the existing methods, such as the well-known Robust Principal Component Analysis (RPCA), assume that the target matrix we wish to recover is low-rank. However, the underlying data structure is often n
The long non-coding RNA HOTAIR is transcriptionally activated by HOXA9 and is an independent prognostic marker in patients with malignant glioma
q-bio.GNAna Xavier-Magalhães, Céline Gonçalves, Anne Fogli, Tatiana Lourenço
The lncRNA HOTAIR has been implicated in several human cancers. Here, we evaluated the molecular alterations and upstream regulatory mechanisms of HOTAIR in glioma, the most common primary brain tumors, and its clinical relevance. HOTAIR gene expression, methylation, copy-number and prognostic value were investigated in human gliomas integrating data from on
Hermitian $K$-theory, Dedekind $ζ$-functions, and quadratic forms over rings of integers in number fields
math.KTJonas Irgens Kylling, Oliver Röndigs, Paul Arne Østvær
We employ the slice spectral sequence, the motivic Steenrod algebra, and Voevodsky's solutions of the Milnor and Bloch-Kato conjectures to calculate the hermitian $K$-groups of rings of integers in number fields. Moreover, we relate the orders of these groups to special values of Dedekind $ζ$-functions for totally real abelian number fields. Our methods
Karlheinz Gröchenig, Philippe Jaming, Eugenia Malinnikova
We study the question under which conditions the zero set of a (cross-) Wigner distribution W (f, g) or a short-time Fourier transform is empty. This is the case when both f and g are generalized Gaussians, but we will construct less obvious examples consisting of exponential functions and their convolutions. The results require elements from the theory of t
Jonathan Roux, Eric Alata, Guillaume Auriol, Mohamed Kaâniche
Internet-of-Things (IoT) devices are nowadays massively integrated in daily life: homes, factories, or public places. This technology offers attractive services to improve the quality of life as well as new economic markets through the exploitation of the collected data. However, these connected objects have also become attractive targets for attackers becau
Peter B. Gilbert, Bryan S. Blette, Bryan E. Shepherd, Michael G. Hudgens
While the HVTN 505 trial showed no overall efficacy of the tested vaccine to prevent HIV infection over placebo, previous studies, biological theories, and the finding that immune response markers strongly correlated with infection in vaccine recipients generated the hypothesis that a qualitative interaction occurred. This hypothesis can be assessed with sta
Cullen's Stability Principle and Weak Solutions of the Free-surface Semi-geostrophic Equations
math.APMike J. P. Cullen, Tobias Kuna, Beatrice Pelloni, Mark Wilkinson
The semi-geostrophic equations are used widely in the modelling of large-scale atmospheric flows. In this note, we prove the global existence of weak solutions of the incompressible semi-geostrophic equations, in geostrophic coordinates, in a three-dimensional domain with a free upper boundary. The proof, based on an energy minimisation argument originally i
Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang
Most existing methods determine relation types only after all the entities have been recognized, thus the interaction between relation types and entity mentions is not fully modeled. This paper presents a novel paradigm to deal with relation extraction by regarding the related entities as the arguments of a relation. We apply a hierarchical reinforcement lea
Shijie Lin, Jinwang Wang, Wen Yang, Guisong Xia
Autonomous Unmanned Aerial Manipulators (UAMs) have shown promising potentials to transform passive sensing missions into active 3-dimension interactive missions, but they still suffer from some difficulties impeding their wide applications, such as target detection and stabilization. This letter presents a vision-based autonomous UAM with a 3DoF robotic arm
Lin-Fang Deng, Chao-Yun Long, Zheng-Wen Long, Ting Xu
In this work, the generalized Dirac oscillator in cosmic string space-time is studied by replacing the momentum pu with its alternative p_u+mwbf_u(x_u)). In particular, the quantum dynamics is considered for the function f_u(x_u) to be taken as cornell potential, exponential-type potentialand singular potential. For cornell potential and exponential-type pot
Pooya Movahed, Jonathan B. Freund
High-intensity ultrasound excites pre-existing bubbles in tissue-like material, and the subsequent bubble activity may lead to damage. To investigate such damage mechanisms, agar tissue-mimicking phantoms were subjected to multiple pressure wave bursts of the kind being considered specifically for burst wave lithotripsy (BWL). A notable feature of these expe
Sávio Ribas
Let $\mathbb Z_n$ be the cyclic group of order $n \ge 3$ additively written. S. Savchev \& F. Chen (2007) proved that for each zero-sum free sequence $S = a_1 \bullet \dots \bullet a_t$ over $\mathbb Z_n$ of length $t > n/2$, there is an integer $g$ coprime to $n$ such that, if $\overline{r}$ denotes the least positive integer in the congruence class $r$ mod
Nadezhda Aleksandrova
Different modes of advance of a pipe with a soil plug under rectangular impulse are investigated numerically and analytically with regard to dry friction between the pipe and plug and between the pipe and external stationary medium. The two model solutions are compared with and without regard to the pipe and plug elasticity. It is shown that elasticity of th
Unsupervised Learnable Sinogram Inpainting Network (SIN) for Limited Angle CT reconstruction
physics.med-phJi Zhao, Zhiqiang Chen, Li Zhang, Xin Jin
In this paper, we propose a sinogram inpainting network (SIN) to solve limited-angle CT reconstruction problem, which is a very challenging ill-posed issue and of great interest for several clinical applications. A common approach to the problem is an iterative reconstruction algorithm with regularization term, which can suppress artifacts and improve image
Niladri Sarkar, Jacques Prost, Frank Jülicher
We study the dynamics of a thick polar epithelium subjected to the action of both an electric and a flow field in a planar geometry. We develop a generalized continuum hydrodynamic description and describe the tissue as a two component fluid system. The cells and the interstitial fluid are the two components and we keep all terms allowed by symmetry. In part
Theoretical investigation of the HgF radical towards laser cooling and eEDM measurement
physics.atom-phZhenghai Yang, Jing Li, Qinning Lin, Liang Xu
In order to realize more sensitive eEDM measurement, it would be worthwhile to find some new laser-cooled molecules with larger internal effective electric field (E$_{eff}$), higher electric polarizability and longer lifetime of the eEDM measurement state. Here we explore the merits of mercuric monofluoride ($^{202}Hg^{19}F$, X$^ 2 Σ_{1/2}$) for its potentia
A. J. Landig, J. V. Koski, P. Scarlino, C. Reichl
We investigate spin states of few electrons in a double quantum dot by coupling them weakly to a magnetic field resilient NbTiN microwave resonator. We observe a reduced resonator transmission if resonator photons and spin singlet states interact. This response vanishes in a magnetic field once the quantum dot ground state changes from a spin singlet into a
Florian Wirnshofer, Philipp S. Schmitt, Wendelin Feiten, Georg v. Wichert
In automated manufacturing, robots must reliably assemble parts of various geometries and low tolerances. Ideally, they plan the required motions autonomously. This poses a substantial challenge due to high-dimensional state spaces and non-linear contact-dynamics. Furthermore, object poses and model parameters, such as friction, are not exactly known and a s
Bohdan Senyuk, Jure Aplinc, Miha Ravnik, Ivan I. Smalyukh
Achieving and exceeding the diversity of colloidal analogs of chemical elements and molecules as building blocks of matter has been the central goal and challenge of colloidal science ever since Einstein introduced the colloidal atom paradigm. Recent significant advances have been achieved by exploiting the powerful machinery of DNA hybridization to assemble
Propagation of pendulum waves under deep-seated cord charge blasting in blocky rock mass
physics.geo-phNadezhda Aleksandrova
The object of the numerical study is the travel of pendulum waves in a blocky medium under nonstationary impact of deep-seated charge blasting on the surface of the expansion chamber. The blocky model is simulated by a two-dimensional lattice of masses connected by elastic springs along the axes and diagonals. The displacements and velocities of the masses a
Interpretation of the phase functions measured by the OSIRIS instrument for Comet 67P/Churyumov-Gerasimenko
astro-ph.EPJohannes Markkanen, Jessica Agarwal, Timo Väisänen, Antti Penttilä
We show that the scattering phase functions of the coma and the nucleus of the comet 67P/Churyumov-Gerasimenko measured by the Rosetta/OSIRIS instrument can be reproduced by a particle model involving clustered densely packed submicrometer-sized grains composed of organic material and larger micrometer-sized silicate grains. The simulated and measured coma p
Oleg Tretiak, Peter Blümler, Lykourgos Bougas
We present a design for producing precisely adjustable and alternating single-axis magnetic fields based on nested Halbach dipole pairs consisting of permanent magnets only. Our design allows for three dimensional optical and mechanical access to a region with strong adjustable dipolar fields, is compatible with systems operating under vacuum, and does not e
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles
cs.LGRemus Pop, Patric Fulop
In image classification tasks, the ability of deep CNNs to deal with complex image data has proven to be unrivalled. However, they require large amounts of labeled training data to reach their full potential. In specialised domains such as healthcare, labeled data can be difficult and expensive to obtain. Active Learning aims to alleviate this problem, by re
A. Galoyan, A. Ribon, V. Uzhinsky
Studying experimental data obtained at ITEP [1] on neutron production in interactions of protons with various nuclei in the energy range from 747 MeV up to 8.1 GeV, we have found that slow neutron spectra have scaling and asymptotic properties [2]. The spectra weakly depend on the collision energy at momenta of projectile protons larger than 5 - 6 GeV/c. The
Sultan Javed Majeed, Marcus Hutter
Most real-world problems have huge state and/or action spaces. Therefore, a naive application of existing tabular solution methods is not tractable on such problems. Nonetheless, these solution methods are quite useful if an agent has access to a relatively small state-action space homomorphism of the true environment and near-optimal performance is guarante
Francesca Da Lio
The aim of this note is to discuss in more detail the Pohozaev-type identities that have been recently obtained by the author, Paul Laurain and Tristan Rivière in the framework of half-harmonic maps defined either on $R$ or on the sphere $S^1$ with values into a closed manifold $N^n\subset R^m$. Weak half-harmonic maps are critical points of the following no
Martina Juhnke-Kubitzke, Lorenzo Venturello
We prove upper bounds for the graded Betti numbers of Stanley-Reisner rings of balanced simplicial complexes. Along the way we show bounds for Cohen-Macaulay graded rings $S/I$, where $S$ is a polynomial ring and $I\subseteq S$ is an homogeneous ideal containing a certain number of generators in degree 2, including the squares of the variables. Using similar
Álvaro Castañeda, Maximiliano Machado-Higuera
In this article we study maps with nilpotent Jacobian in $\mathbb{R}^n$ distinguishing the cases when the rows of $JH$ are linearly dependent over $\mathbb{R}$ and when they are linearly independent over $\mathbb{R}.$ In the linearly dependent case, we show an application of such maps on dynamical systems, in particular, we construct a large family of almost
Abílio Lemos, Allan O. Moura, Anderson T. Silva, B. K. Moriya
Let $G$ be a finite additive abelian group with exponent $n$ and $S=g_{1}\cdots g_{t}$ be a sequence of elements in $G$. For any element $g$ of $G$ and $A\subseteq\{1,2,\ldots,n-1\}$, let $N_{A,g}(S)$ denote the number of subsequences $T=\prod_{i\in I}g_{i}$ of $S$ such that $\sum_{i\in I}a_{i}g_{i}=g$ , where $I\subseteq\left\{ 1,\ldots,t\right\} $ and $a_{
Feng Wang, Wanna Zhang, Wei Luo
With the rapid development of mobile computing, wearable wrist-worn is becoming more and more popular. But the current vibrotactile feedback patterns of most wrist-worn devices are too simple to enable effective interaction in nonvisual scenarios. In this paper, we propose the wristband system with four vibrating motors placed in different positions in the w
Olga Parshina
Let $q$ be a positive integer. Consider an infinite word $ω=w_0w_1w_2\cdots$ over an alphabet of cardinality $q$. A finite word $u$ is called an arithmetic factor of $ω$ if $u=w_cw_{c+d}w_{c+2d}\cdots w_{c+(|u|-1)d}$ for some choice of positive integers $c$ and $d$. We call $c$ the initial number and $d$ the difference of $u$. For each such $u$ we define its
Exploiting Capacity of Sewer System Using Unsupervised Learning Algorithms Combined with Dimensionality Reduction
cs.LGDuo Zhang, Geir Lindholm, Nicolas Martinez, Harsha Ratnaweera
Exploiting capacity of sewer system using decentralized control is a cost effective mean of minimizing the overflow. Given the size of the real sewer system, exploiting all the installed control structures in the sewer pipes can be challenging. This paper presents a divide and conquer solution to implement decentralized control measures based on unsupervised
Parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications
cs.DCYoji Yamato, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda
For Open IoT, we have proposed Tacit Computing technology to discover the devices that have data users need on demand and use them dynamically and an automatic GPU offloading technology as an elementary technology of Tacit Computing. However, it can improve limited applications because it only optimizes parallelizable loop statements extraction. Thus, in thi
Zahra Amini Sabegh, Mohammad Ali Maleki, Mohammad Mahmoudi
The microwave-induced orbital angular momentum (OAM) transfer from a Laguerre-Gaussian (LG) beam to a weak plane-wave is studied in a closed-loop four-level ladder-type atomic system. The analytical investigation shows that the generated fourth field is a LG beam with the same OAM of the applied LG field. Moreover, the microwave-induced subluminal generated
Georg Schnabel, Henrik Sjöstrand
Model defects are known to cause biased nuclear data evaluations if they are not taken into account in the evaluation procedure. We suggest a method to construct prior distributions for model defects for reaction models using neighboring isotopes of $^{56}$Fe as an example. A model defect is usually a function of energy and describes the difference between t
Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin
In recent years, long short-term memory (LSTM) has been successfully used to model sequential data of variable length. However, LSTM can still experience difficulty in capturing long-term dependencies. In this work, we tried to alleviate this problem by introducing a dynamic skip connection, which can learn to directly connect two dependent words. Since ther
Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti
Equilibrium refinements are important in extensive-form (i.e., tree-form) games, where they amend weaknesses of the Nash equilibrium concept by requiring sequential rationality and other beneficial properties. One of the most attractive refinement concepts is quasi-perfect equilibrium. While quasi-perfection has been studied in extensive-form games, it is po
Toni Heikkinen
Let $X$ be a quasi-Banach function space over a doubling metric measure space $\mathcal P$. Denote by $α_X$ the generalized upper Boyd index of $X$. We show that if $α_X<\infty$ and $X$ has absolutely continuous quasinorm, then quasievery point is a generalized Lebesgue point of a quasicontinuous Hajł asz function $u\in\dot M^{s,X}$. Moreover, if $α_X<(Q+s)/
Implication of family non-universal $Z'$ model to rare exclusive $b \to s(l\bar l,ν\barν)$ transitions
hep-phP. Maji, P. Nayek, S. Sahoo
We have investigated $B \to (K,K^*)(l\bar l,ν\barν)$ decay channels and predicted some form factor dependent observables (e.g. branching ratio, forward-backward asymmetry and lepton polarization asymmetry) considering new physics contribution from non-universal $Z'$ model. We have found that there is appreciable difference between the standard model and
Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina
Cooking typically involves a plethora of decisions about ingredients and tools that need to be chosen in order to write a good cooking recipe. Cooking can be modelled in an optimization framework, as it involves a search space of ingredients, kitchen tools, cooking times or temperatures. If we model as an objective function the quality of the recipe, several
Miquel Llorens-Monteagudo, Alejandro Torres-Forné, José A. Font, Antonio Marquina
We present a new method for the classification of transient noise signals (or glitches) in advanced gravitational-wave interferometers. The method uses learned dictionaries (a supervised machine learning algorithm) for signal denoising, and untrained dictionaries for the final sparse reconstruction and classification. We use a data set of 3000 simulated glit
Timo Schick, Hinrich Schütze
Word embeddings are a key component of high-performing natural language processing (NLP) systems, but it remains a challenge to learn good representations for novel words on the fly, i.e., for words that did not occur in the training data. The general problem setting is that word embeddings are induced on an unlabeled training corpus and then a model is trai
An external validation of Thais' cardiovascular 10-year risk assessment in the southern Thailand
stat.APSuthara Aramcharoen, Ponlapat Satian, Ponlachart Chotikarn, Sipat Triukose
Cardiovascular diseases (CVDs) is a number one cause of death globally. WHO estimated that CVD is a cause of 17.9 million deaths (or 31% of all global deaths) in 2016. It may seem surprising, CVDs can be easily prevented by altering lifestyle to avoid risk factors. The only requirement needed is to know your risk prior. Thai CV Risk score is a trustworthy to
The invariance principle and the large deviation for the biased random walk on $\mathbb{Z}^d$
math.PRYuelin Liu, Vladas Sidoravicius, Longmin Wang, Kainan Xiang
In this paper, we establish the invariance principle and the large deviation for the biased random walk $RW_λ$ with $λ\in [0,1)$ on $\mathbb{Z}^d, d\geq 1$.
Initial Mass Function Variations Cannot Explain the Ionizing Spectrum of Low Metallicity Starbursts
astro-ph.GAE. R. Stanway, J. J. Eldridge
Observations of both galaxies in the distant Universe and local starbursts are showing increasing evidence for very hard ionizing spectra that stellar population synthesis models struggle to reproduce. Here we explore the effects of the assumed stellar initial mass function (IMF) on the ionizing photon output of young populations at wavelengths below key ion
J. Mendez-Abreu, A. de Lorenzo-Caceres, D. A. Gadotti, F. Fragkoudi
Double bars are thought to be important features for secular evolution in the central regions of galaxies. However, observational evidence about their origin and evolution is still scarce. We report on the discovery of the first Box-Peanut (B/P) structure in an inner bar detected in the face-on galaxy NGC 1291. We use the integral field data obtained from th
Qiming Zou, Ling Wang, Ke Lu, Yu Li
Direct policy search is one of the most important algorithm of reinforcement learning. However, learning from scratch needs a large amount of experience data and can be easily prone to poor local optima. In addition to that, a partially trained policy tends to perform dangerous action to agent and environment. In order to overcome these challenges, this pape
Precision of the ENDGame: Mixed-precision arithmetic in the iterative solver of the Unified Model
math.NAChristopher M Maynard, David N Walters
The Met Office's weather and climate simulation code the Unified Model is used for both operational Numerical Weather Prediction and Climate modelling. The computational performance of the model running on parallel supercomputers is a key consideration. A Krylov sub-space solver is employed to solve the equations of the dynamical core of the model, known
Experimental and numerical investigation of reactive species transport around a small rising bubble
physics.flu-dynAndre Weiner, Jens Timmermann, Chiara Pesci, Jana Grewe
In this article, we present experimental and numerical techniques to investigate the transfer, transport, and reaction of a chemical species in the vicinity of rising bubbles. In the experiment, single oxygen bubbles of diameter d b = 0.55 . . . 0.85 mm are released into a measurement cell filled with tap water. The oxygen dissolves and reacts with sulfite t
Gang Li, Xiao-Feng Wang, Ye Xing
We study the weak decays of exotic tetraquark states ${b\bar c}{q\bar q}$ with two heavy quarks. Under the SU(3) symmetry for light quarks, these tetraquarks can be classified into an octet plus a singlet: $3\bigotimes\bar 3=1\bigoplus8$. We will concentrate on the octet tetraquarks with $J^{P}=0^{+}$, and study their weak decays, both semileptonic and nonle
Sune Darkner, Stefan Sommer, Andreas Schuhmacher, Henrik Ingerslev Anders O. Baandrup
Humans are highly dependent on the ability to process audio in order to interact through conversation and navigate from sound. For this, the shape of the ear acts as a mechanical audio filter. The anatomy of the outer human ear canal to approximately 15-20 mm beyond the Tragus is well described because of its importance for customized hearing aid production.
Indications for infrared conformal behaviour of SU(2) gauge theory with $N_f = 3/2$ flavours of adjoint fermions
hep-latGeorg Bergner, Pietro Giudice, Istvan Montvay, Gernot Münster
{We present the results of a numerical investigation of SU(2) gauge theory with $N_f=3/2$ flavours of fermions, corresponding to 3 Majorana fermions, which transform in the adjoint representation of the gauge group. At two values of the gauge coupling, the masses of bound states are considered as a function of the PCAC quark mass. The scaling of bound states
Qiming Zou, Ke Lu, Yu Li
Owing to the rapid growth number of vehicles, urban traffic congestion has become more and more severe in the last decades. As an effective approach, Model Predictive Control (MPC) has been applied to urban traffic signal control system. However, the potentially high online computation burden may limit its further application for real scenarios. In this pape
Siegfried Röser, Elena Schilbach, Bertrand Goldman
Within a 200 pc sphere around the Sun we search for the Hyades tidal tails in the Gaia DR2 dataset. We use a modified convergent point method to search for stars with space velocities close to the space velocity of the Hyades cluster. We find a clear indication for the existence of the Hyades tidal tails, a preceding tail extending up to 170 pc from the cent
Bounds for global solutions of a reaction diffusion system with the Robin boundary conditions
math.APKosuke Kita, Mitsuharu Ôtani
In this paper, we consider the large-time behavior of solutions of a reaction diffusion system arising from a nuclear reactor model with the Robin boundary conditions, which consists of two real-valued unknown functions. In particular, we show that global solutions of this system are uniformly bounded in a suitable norm with respect to time. Since this syste
John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani
This paper studies the complexity of problems in PPAD $\cap$ PLS that have unique solutions. Three well-known examples of such problems are the problem of finding a fixpoint of a contraction map, finding the unique sink of a Unique Sink Orientation (USO), and solving the P-matrix Linear Complementarity Problem (P-LCP). Each of these are promise-problems, and
Progress on the nature of the QCD thermal transition as a function of quark flavors and masses
hep-latFrancesca Cuteri, Owe Philipsen, Alessandro Sciarra
We investigate to which extent we can exploit the dependence of the order of the chiral transition on the number of light degenerate flavors $N_\text{f}$, re-interpreted as continuous parameter in the path integral formulation, as a means to perform a controlled chiral extrapolation and deduce the order of the transition for the case $N_\text{f}=2$, which is
Modeling the Variability of Active Galactic Nuclei by Infinite Mixture of Ornstein-Uhlenbeck(OU) Processes
astro-ph.IMTadafumi Takata, Yusuke Mukuta, Yoshihiko Mizumoto
We develop an infinite mixture model of Ornstein-Uhlenbeck(OU) processes for describing the optical variability of QSOs based on treating the variability as a stochastic process. This enables us to get the parameters of the power spectral densities(PSDs) on their brightness variations by providing more flexible description of PSDs than the models based on si
A quantum mechanical insight into SN2 reactions: Semiclassical initial value representation calculations of vibrational features of the Cl$^-$--CH$_3$Cl pre-reaction complex with the VENUS suite of codes
physics.chem-phX. Ma, G. Di Liberto, R. Conte, W. L. Hase
The role of vibrational excitation of reactants in driving reactions involving polyatomic species has been often studied by means of classical or quasi-classical trajectory simulations. We propose a different approach based on investigation of vibrational features of the Cl$^-$--CH$_3$Cl pre-reaction complex for the Cl$^-$ + CH$_3$Cl SN$_2$ reaction. We pres
Anharmonic Vibrational Eigenfunctions and Infrared Spectra from Semiclassical Molecular Dynamics
physics.chem-phMarco Micciarelli, Riccardo Conte, Jaime Suarez, Michele Ceotto
We describe a new approach based on semiclassical molecular dynamics that allows to simulate infrared absorption or emission spectra of molecular systems with inclusion of anharmonic intensities. This is achieved from semiclassical power spectra by computing first the vibrational eigenfunctions as a linear combination of harmonic states, and then the oscilla
Zhen Mei, Kui Cai, Long Shi
Channel output quantization plays a vital role in high-speed emerging memories such as the spin-torque transfer magnetic random access memory (STT-MRAM), where high-precision analog-to-digital converters (ADCs) are not applicable. In this paper, we investigate the design of the 1-bit quantizer which is highly suitable for practical applications. We first pro
Meng Lv, Danning Li, Song He
Finite isospin chemical potential $μ_I$ and temperature $T$ have been introduced in the framework of soft-wall AdS/QCD model. By self-consistently solve the equation of motion, we obtain the phase boundary of pion condensation phase, across which the system undergoes a phase transition between pion condensation phase and normal phase. Comparing the free ener
Andrzej Komisarski, Teresa Rajba
We give necessary and sufficient conditions for Borel measures to satisfy the inequality introduced by Komisarski, Rajba (2018). This inequality is a generalization of the convex order inequality for binomial distributions, which was proved by Mrowiec, Rajba, Wąsowicz (2017), as a probabilistic version of the inequality for convex functions, that was conject
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh
Strong Stackelberg equilibrium (SSE) is the standard solution concept of Stackelberg security games. As opposed to the weak Stackelberg equilibrium (WSE), the SSE assumes that the follower breaks ties in favor of the leader and this is widely acknowledged and justified by the assertion that the defender can often induce the attacker to choose a preferred act
Bin Liu
This contribution presents a very brief and critical discussion on automated machine learning (AutoML), which is categorized here into two classes, referred to as narrow AutoML and generalized AutoML, respectively. The conclusions yielded from this discussion can be summarized as follows: (1) most existent research on AutoML belongs to the class of narrow Au
Andrea Bastianin, Matteo Manera
We study the impact of oil price shocks on the U.S. stock market volatility. We jointly analyze three different structural oil market shocks (i.e., aggregate demand, oil supply, and oil-specific demand shocks) and stock market volatility using a structural vector autoregressive model. Identification is achieved by assuming that the price of crude oil reacts
Chao Yu
Achieving coordination is crucial in organizational control. This paper investigates a middle ground solution between decentralized interactions and centralized administrations for coordinating agents beyond inefficient behavior. We first propose the price of governance (PoG) to evaluate how such a middle ground solution performs in terms of effectiveness an
Kiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka
We present RoarNet, a new approach for 3D object detection from a 2D image and 3D Lidar point clouds. Based on two-stage object detection framework with PointNet as our backbone network, we suggest several novel ideas to improve 3D object detection performance. The first part of our method, RoarNet_2D, estimates the 3D poses of objects from a monocular image
Serban Belinschi
Motivated by recent work of Au, C{é}bron, Dahlqvist, Gabriel, and Male, we study regularity properties of the distribution of a sum of two selfad-joint random variables in a tracial noncommutative probability space which are free over a commutative algebra. We give a characterization of the invariant projections of such a sum in terms of the associated subor
Neural Stain Normalization and Unsupervised Classification of Cell Nuclei in Histopathological Breast Cancer Images
cs.CVEdwin Yuan, Junkyo Suh
In this paper, we develop a complete pipeline for stain normalization, segmentation, and classification of nuclei in hematoxylin and eosin (H&E) stained breast cancer histopathology images. In the first step, we use a CNN-based stain transfer technique to normalize the staining characteristics of (H&E) images. We then train a neural network to segment images
Kim Batselier
The tensor train decomposition decomposes a tensor into a "train" of 3-way tensors that are interconnected through the summation of auxiliary indices. The decomposition is stable, has a well-defined notion of rank and enables the user to perform various linear algebra operations on vectors and matrices of exponential size in a computationally efficie
Static and sliding contact of rough surfaces: effect of asperity-scale properties and long-range elastic interactions
cond-mat.softSrivatsan Hulikal, Nadia Lapusta, Kaushik Bhattacharya
Friction in static and sliding contact of rough surfaces is important in numerous physical phenomena. We seek to understand macroscopically observed static and sliding contact behavior as the collective response of a large number of microscopic asperities. We develop an efficient numerical framework that can be used to investigate how the macroscopic respons
M Fontanini, E. Huguet, M. Le Delliou
In this paper we question the status of TEGR, the Teleparallel Equivalent of General Relativity,as a gauge theory of translations. We observe that TEGR (in its usual translation-gauge view) does not seem to realize the generally admitted requirements for a gauge theory for some symmetry group $G$: namely it does not present a mathematical structure underlyin
Football and Beer - a Social Media Analysis on Twitter in Context of the FIFA Football World Cup 2018
cs.SIRoland Roller, Philippe Thomas, Sven Schmeier
In many societies alcohol is a legal and common recreational substance and socially accepted. Alcohol consumption often comes along with social events as it helps people to increase their sociability and to overcome their inhibitions. On the other hand we know that increased alcohol consumption can lead to serious health issues, such as cancer, cardiovascula
A Sufficient Condition for Small-Signal Stability and Construction of Robust Stability Region
math.OCParikshit Pareek, Konstantin Turitsyn, Krishnamurthy Dvijotham, Hung D. Nguyen
The small-signal stability is an integral part of the power system security analysis. The introduction of renewable source related uncertainties is making the stability assessment difficult as the equilibrium point is varying rapidly. This paper focuses on the Differential Algebraic Equation (DAE) formulation of power systems and bridges the gap between the
A. D. Mednykh, I. A. Mednykh
Let $F(x)=\sum\limits_{n=1}^\inftyτ(n)x^n$ be the generating function for the number $τ(n)$ of spanning trees in the circulant graphs $C_{n}(s_1,s_2,\ldots,s_k).$ We show that $F(x)$ is a rational function with integer coefficients satisfying the property $F(x)=F(1/x).$ A similar result is also true for the circulant graphs of odd valency $C_{2n}(s_1,s_2,\ld
Topological quantum states of matter in iron-based superconductors: From concepts to material realization
cond-mat.mes-hallNing Hao, Jiangping Hu
We review recent progress in the explorations of topological quantum states of matter in iron-based superconductors. In particular, we focus on the nontrivial topology existing in the band structures and superconducting states of iron's 3d orbitals. The basic concepts, models, materials and experimental results are reviewed. The natural integration betwe
Y. S. Kwon, A. D. Mednykh, I. A. Mednykh
By complexity of a finite graph we mean the number of spanning trees in the graph. The aim of the present paper is to give a new approach for counting complexity $τ(n)$ of cyclic $n$-fold coverings of a graph. We give an explicit analytic formula for $τ(n)$ in terms of Chebyshev polynomials and find its asymptotic behavior as $n\to\infty$ through the Mahler
Lingling Yao, Dong Yang
Given an ST-triple $(\mathcal{C},\mathcal{D},M)$ one can associate a co-$t$-structure on $\mathcal{C}$ and a $t$-structure on $\mathcal{D}$. It is shown that the discreteness of $\mathcal{C}$ with respect to the co-$t$-structure is equivalent to the discreteness of $\mathcal{D}$ with respect to the $t$-structure. As a special case, the discreteness of $\math
Xueting Tian, Weisheng Wu
In this paper we define unstable topological entropy for any subsets (not necessarily compact or invariant) in partially hyperbolic systems as a Carathéodory dimension characteristic, motivated by the work of Bowen and Pesin etc. We then establish some basic results in dimension theory for Bowen unstable topological entropy, including an entropy distribution
Liwei Chen, Yansong Feng, Songfang Huang, Bingfeng Luo
Relation extraction is the task of identifying predefined relationship between entities, and plays an essential role in information extraction, knowledge base construction, question answering and so on. Most existing relation extractors make predictions for each entity pair locally and individually, while ignoring implicit global clues available across diffe
Wen-Jie Xie, Rui-Qi Han, Wei-Xing Zhou
Network motif analysis is a useful tool for the investigation of complex networks. We study the profiles of tetradic motifs in horizontal visibility graphs (HVGs) converted from multifractal binomial measures, fractional Gaussian noises, and heartbeat rates. The profiles of tetradic motifs contains the spatial information (visibility) and temporal informatio
Oxygen Electromigration and Energy Band Reconstruction Induced by Electrolyte Field Effect at Oxide Interfaces
cond-mat.str-elS. W. Zeng, X. M. Yin, T. S. Herng, K. Han
Electrolyte gating is a powerful means for tuning the carrier density and exploring the resultant modulation of novel properties on solid surfaces. However, the mechanism, especially its effect on the oxygen migration and electrostatic charging at the oxide heterostructures, is still unclear. Here we explore the electrolyte gating on oxygen-deficient interfa
Rigorous analytical formula for freeform singlet lens design free of spherical aberration
physics.opticsRafael G. Gonzalez-Acuña, Hector A. Chaparro-Romo, Julio C. Gutierrez-Vega
An analytical closed-form formula for the design of freeform lenses free of spherical aberration is presented. Given the equation of the freeform input surface, the formula gives the equation of the second surface in order to correct the spherical aberration. The derivation is based on the formal application of the variational Fermat principle under the stan
Anomaly in anomalous Nernst effect at low temperature for C1b-type NiMnSb half-Heusler alloy thin film
cond-mat.mes-hallHimanshu Sharma, Zhenchao Wen, Koki Takanashi, Masaki Mizuguchi
The anomaly in the anomalous Nernst effect (ANE) was observed for a C1b-type NiMnSb half-Heusler alloy thin film deposited on a MgO (001) substrate. The Nernst angle (θANE) showed maximum peak with decreasing temperature and reached 0.15 at 80 K, which is considered to be brought by the cross-over from half-metal to normal ferromagnet in NiMnSb at low temper
Can We Use Speaker Recognition Technology to Attack Itself? Enhancing Mimicry Attacks Using Automatic Target Speaker Selection
eess.ASTomi Kinnunen, Rosa González Hautamäki, Ville Vestman, Md Sahidullah
We consider technology-assisted mimicry attacks in the context of automatic speaker verification (ASV). We use ASV itself to select targeted speakers to be attacked by human-based mimicry. We recorded 6 naive mimics for whom we select target celebrities from VoxCeleb1 and VoxCeleb2 corpora (7,365 potential targets) using an i-vector system. The attacker atte
A. I. Mikhailov, A. V. Nefiodov
Ionization of helium-like ions with simultaneous excitation of the ns-states due to photon scattering is considered. The differential and total cross sections of the process are calculated to leading order of perturbation theory with respect to the interelectron interaction. The formulas obtained are applicable in the nonrelativistic energy range far beyond
Rutile TiO2 Bulk Structural and Vibrational Properties: A DFT Study on the Importance of Pseudopotentials
physics.chem-phSugata Chowdhury, Nacole King, Winnie Wong-Ng
Using first-principal density functional theory (DFT) we explained the importance of pseudopotential for decribing the electronic and vibrational properties of rutile TiO2 (R-TiO2). Calculations were performed using the generalized gradient approximation (GGA), local density approximation (LDA) and hybrid functional (HSE), with normconserving, ultrasoft and
Takuro Abe
In the theory of hyperplane arrangements, the most important and difficult problem is the combinatorial dependency of several properties. In this atricle, we prove that Terao's celebrated addition-deletion theorem for free arrangements is combinatorial, i.e., whether you can apply it depends only on the intersection lattice of arrangements. The proof is
Symmetry breaking states in the half-filled two-orbital Hubbard model with crystalline electric field
cond-mat.str-elKosuke Ishigaki, Joji Nasu, Akihisa Koga
We investigate the half-filled two-orbital Hubbard model with the crystalline electric field using dynamical mean-field theory combined with the continuous-time quantum Monte Carlo simulations. We systematically study how the interplay of the intra- and interorbital Coulomb interations together with the Hund coupling realizes the diagonal and off-diagonal or
Benjamin R. Setterholm, John D. Monnier, Claire L. Davies, Alexander Kreplin
The physical processes occurring within the inner few astronomical units of proto-planetary disks surrounding Herbig Ae stars are crucial to setting the environment in which the outer planet-forming disk evolves and put critical constraints on the processes of accretion and planet migration. We present the most complete published sample of high angular resol
Ke Lai, Lei Wen, Jing Lei, Gaojie Chen
In this letter, a novel variation of sparse code multiple access (SCMA), called codeword position index based SCMA (CPI-SCMA), is proposed. In this scheme, the information is transmitted not only by the codewords in M point SCMA codebook, but also by the indices of the codeword positions in a data block. As such, both the power and transmission efficiency (T
Lezhi Lo, C. K. Law
We present a non-relativistic theory of quantum radiation generated by shaking a two-level atom in vacuum. Such radiation has the same origin of photon emission in dynamical Casimir effect. By performing a time-dependent "dressing" transformation to the Hamiltonian, we derive an interaction term that governs the radiation. In particular, we show that
Bin Wang, Kai Sun, Xin Xu
Nonlinear modal decoupling (NMD) was recently proposed to nonlinearly transform a multi-oscillator system into a number of decoupled oscillators which together behave the same as the original system in an extended neighborhood of the equilibrium. Each oscillator has just one degree of freedom and hence can easily be analyzed to infer the stability of the ori
C. A. Custodio, E. R. Filletti, V. V. França
In this work we propose an artificial neural network functional to the ground-state energy of fermionic interacting particles in homogeneous chains described by the Hubbard model. Our neural network functional was proven to has an excellent performance: it deviates from numerically exact calculations by less than $0.15\%$ for all the regimes of filling facto
Benjamin Johnston, Philip de Chazal
We present a fully automated system for sizing nasal Positive Airway Pressure (PAP) masks. The system is comprised of a mix of HOG object detectors as well as multiple convolutional neural network stages for facial landmark detection. The models were trained using samples from the publicly available PUT and MUCT datasets while transfer learning was also empl