1,006 research outputs found
The Value Effect and the Market For Chinese Stocks
A long literature in empirical finance has isolated both a value and a small-capitalization effect in asset pricing. This study confirms the existence of these style effects both in new types of equity indexes and in the stocks of Chinese companies traded in international markets. We then present a new nonparametric method of portfolio construction that enables investors to extract the predictive power of these style effects, without diluting their efficacy through an unintended weighting distribution that closely resembles capitalization weighting. We then develop a simple method to isolate periods where style tilts are likely to be particularly effective.China, stock market, capitalization, stock portolios, equity index
Proportional-Integral-Plus Control Strategy of an Intelligent Excavator
This article considers the application of Proportional-Integral-Plus (PIP) control to the Lancaster University Computerised Intelligent Excavator (LUCIE), which is being developed to dig foundation trenches on a building site. Previous work using LUCIE was based on the ubiquitous PI/PID control algorithm, tuned on-line, and implemented in a rather ad hoc manner. By contrast, the present research utilizes new hardware and advanced model-based control system design methods to improve the joint control and so provide smoother, more accurate movement of the excavator arm. In this article, a novel nonlinear simulation model of the system is developed for MATLAB/SIMULINK, allowing for straightforward refinement of the control algorithm and initial evaluation. The PIP controller is compared with a conventionally tuned PID algorithm, with the final designs implemented on-line for the control of dipper angle. The simulated responses and preliminary implementation results demonstrate the feasibility of the approach
Efficient operators for studying higher partial waves
An extended multi-hadron operator is developed to extract the spectra of
irreducible representations in the finite volume. The irreducible
representations of the cubic group are projected using a coordinate-space
operator. The correlation function of this operator is computationally
efficient to extract lattice spectra. In particular, this new formulation only
requires propagator inversions from two distinct locations, at fixed physical
separation. We perform a proof-of-principle study on a lattice
volume with ~MeV by isolating the spectra of ,
and of the system with isospin-2 in the rest frame.Comment: 8 pages, 3 figures, Contribution to the conference Lattice201
Structure of the Nucleon and its Excitations
The structure of the ground state nucleon and its finite-volume excitations
are examined from three different perspectives. Using new techniques to extract
the relativistic components of the nucleon wave function, the node structure of
both the upper and lower components of the nucleon wave function are
illustrated. A non-trivial role for gluonic components is manifest. In the
second approach, the parity-expanded variational analysis (PEVA) technique is
utilised to isolate states at finite momenta, enabling a novel examination of
the electric and magnetic form factors of nucleon excitations. Here the
magnetic form factors of low-lying odd-parity nucleons are particularly
interesting. Finally, the structure of the nucleon spectrum is examined in a
Hamiltonian effective field theory analysis incorporating recent lattice-QCD
determinations of low-lying two-particle scattering-state energies in the
finite volume. The Roper resonance of Nature is observed to originate from
multi-particle coupled-channel interactions while the first radial excitation
of the nucleon sits much higher at approximately 1.9 GeV.Comment: 8 pages, 4 figures. Proceedings of the 35th International Symposium
on Lattice Field Theory (Lattice 2017), 18 - 24 June 2017, Granada, Spai
Hamiltonian effective field theory study of the resonance in lattice QCD
We examine the phase shifts and inelasticities associated with the
Roper resonance and connect these infinite-volume observables to
the finite-volume spectrum of lattice QCD using Hamiltonian effective field
theory. We explore three hypotheses for the structure of the Roper resonance.
All three hypotheses are able to describe the scattering data well. In the
third hypothesis the Roper resonance couples the low-lying bare basis-state
component associated with the ground state nucleon with the virtual
meson-baryon contributions. Here the non-trivial superpositions of the
meson-baryon scattering states are complemented by bare basis-state components
explaining their observation in contemporary lattice QCD calculations. The
merit of this scenario lies in its ability to not only describe the observed
nucleon energy levels in large-volume lattice QCD simulations but also explain
why other low-lying states have been missed in today's lattice QCD results for
the nucleon spectrum.Comment: 14 pages, 14 figures; version to be published in Phys. Rev.
Soil Moisture Sensor
Since water is an important resource and not all communities around the world can afford to be liberal with their water needs; it has become important to use available water as efficiently as possible, especially in agriculture. For the purpose of reducing the overwatering of crops, an unattended ground moisture sensor can be implemented to measure the moisture level in the soil surrounding the plants. This will allow a farmer to know when to water or stop watering crops. For convenience, the moisture data information should be transmitted wirelessly to the user. The design of an unattended ground moisture sensor and wireless communication/user interface system is discussed. The sensor design consists of a Wheatstone bridge for determining the resistance of the soil, followed by a differential amplifier for converting the measured resistance into a voltage. This is done because there exists a correlation between moisture and resistance. This voltage is interpreted by a micro controller as moisture data and sent wirelessly to a Lora receiver. The receiver then relays that information to the user via a mobile or web based app
Hamiltonian effective field theory study of the resonance in lattice QCD
Drawing on experimental data for baryon resonances, Hamiltonian effective
field theory (HEFT) is used to predict the positions of the finite-volume
energy levels to be observed in lattice QCD simulations of the lowest-lying
nucleon excitation. In the initial analysis, the phenomenological
parameters of the Hamiltonian model are constrained by experiment and the
finite-volume eigenstate energies are a prediction of the model. The agreement
between HEFT predictions and lattice QCD results obtained on volumes with
spatial lengths of 2 and 3 fm is excellent. These lattice results also admit a
more conventional analysis where the low-energy coefficients are constrained by
lattice QCD results, enabling a determination of resonance properties from
lattice QCD itself. Finally, the role and importance of various components of
the Hamiltonian model are examined.Comment: 5 pages, 2 figures; version published in Phys. Rev. Let
Songbird organotypic culture as an in vitro model for interrogating sparse sequencing networks
Sparse sequences of neuronal activity are fundamental features of neural circuit computation; however, the underlying homeostatic mechanisms remain poorly understood. To approach these questions, we have developed a method for cellular-resolution imaging in organotypic cultures of the adult zebra finch brain, including portions of the intact song circuit. These in vitro networks can survive for weeks, and display mature neuron morphologies. Neurons within the organotypic slices exhibit a diversity of spontaneous and pharmacologically induced activity that can be easily monitored using the genetically encoded calcium indicator GCaMP6. In this study, we primarily focus on the classic song sequence generator HVC and the surrounding areas. We describe proof of concept experiments including physiological, optical, and pharmacological manipulation of these exposed networks. This method may allow the cellular rules underlying sparse, stereotyped neural sequencing to be examined with new degrees of experimental control
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