1,467 research outputs found
Political connection heterogeneity and firm value in Vietnam
The observation of firms’ political connections (PCs) in both types of ascribed and acquired PCs has raised the question of their benefits to firms’ operation. Based on 1,365 Vietnamese listed firm-year observations from 2010 to 2014, we find that although firms with both ascribed and acquired PCs have lower firm value (FV) than firms without any PCs, firms with acquired PCs exhibit better FV than those with ascribed PCs. The paper also reveals that concentrated ownership (CO) has a mediation impact on the association between acquired PCs and FV while it can help firms with acquired PCs in improving FV
The Current Status of Historical Preservation Law in Regularory Takings Jurisprudence: Has the Lucas Missile Dismantled Preservation Programs?
This paper describes our NIHRIO system for SemEval-2018 Task 3 "Irony detection in English tweets". We propose to use a simple neural network architecture of Multilayer Perceptron with various types of input features including: lexical, syntactic, semantic and polarity features. Our system achieves very high performance in both subtasks of binary and multi-class irony detection in tweets. In particular, we rank at fifth in terms of the accuracy metric and the F1 metric. Our code is available at: https://github.com/NIHRIO/IronyDetectionInTwitte
Diophantine tori and spectral asymptotics for non-selfadjoint operators
We study spectral asymptotics for small non-selfadjoint perturbations of
selfadjoint -pseudodifferential operators in dimension 2, assuming that the
classical flow of the unperturbed part possesses several invariant Lagrangian
tori enjoying a Diophantine property. We get complete asymptotic expansions for
all eigenvalues in certain rectangles in the complex plane in two different
cases: in the first case, we assume that the strength of the
perturbation is for some and is bounded from
below by a fixed positive power of . In the second case, is
assumed to be sufficiently small but independent of , and we describe the
eigenvalues completely in a fixed -independent domain in the complex
spectral plane.Comment: 81 page
Asymptotic Lattices, Good Labellings, and the Rotation Number for Quantum Integrable Systems
This article introduces the notion of good labellings for asymptotic lattices
in order to study joint spectra of quantum integrable systems from the point of
view of inverse spectral theory. As an application, we consider a new spectral
quantity for a quantum integrable system, the quantum rotation number. In the
case of two degrees of freedom, we obtain a constructive algorithm for the
detection of appropriate labellings for joint eigenvalues, which we use to
prove that, in the semiclassical limit, the quantum rotation number can be
calculated on a joint spectrum in a robust way, and converges to the well-known
classical rotation number. The general results are applied to the semitoric
case where formulas become particularly natural
A Power-Aware Framework for Executing Streaming Programs on Networks-on-Chip
Nilesh Karavadara, Simon Folie, Michael Zolda, Vu Thien Nga Nguyen, Raimund Kirner, 'A Power-Aware Framework for Executing Streaming Programs on Networks-on-Chip'. Paper presented at the Int'l Workshop on Performance, Power and Predictability of Many-Core Embedded Systems (3PMCES'14), Dresden, Germany, 24-28 March 2014.Software developers are discovering that practices which have successfully served single-core platforms for decades do no longer work for multi-cores. Stream processing is a parallel execution model that is well-suited for architectures with multiple computational elements that are connected by a network. We propose a power-aware streaming execution layer for network-on-chip architectures that addresses the energy constraints of embedded devices. Our proof-of-concept implementation targets the Intel SCC processor, which connects 48 cores via a network-on- chip. We motivate our design decisions and describe the status of our implementation
- …