PVR-AFM: A Pathological Voice Repair System based on Non-linear Structure

Complex maneuvering patterns are typical of motorized two-wheelers (MTWs), and their widespread adoption in many countries has spurred a growing response from transport researchers to model their dynamic behavior realistically. Considering the increased vulnerability of MTW drivers in dense urban mixed traffic systems, proper evaluation and modeling of lateral interactions between the drivers/riders moving abreast need to be addressed. A proper investigation can essentially help in understanding the behavioral aspects of riders in accepting shorter lateral clearances, design of exclusive motorcycle lanes, improved reliability of microsimulation models, and safety evaluation of the riders in a cognitive architecture. The current study therefore attempts to develop a novel symbolic regression model using a multigene genetic programming algorithm to generate and evaluate lateral clearance models naturally from field data for MTW interactions at mid-block sections, data being collected using video recorders. A binary logit model is initially developed to investigate the factors associated with the riders’ decisions to accept critical lateral clearances. Considering highly non-linear variations in data, the symbolic regression models were further developed and a comparison with the existing linear regression based lateral clearance models indicated that the symbolic model could generalize the non-linear structure of the data realistically and performed significantly better than the existing models.

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Cosmology with galaxy–galaxy lensing on non-perturbative scales: emulation method and application to BOSS LOWZ

Monthly Notices of the Royal Astronomical Society ◽

10.1093/mnras/stz3423 ◽

2019 ◽

Vol 492 (2) ◽

pp. 2872-2896 ◽

Cited By ~ 5

Author(s):

Benjamin D Wibking ◽

David H Weinberg ◽

Andrés N Salcedo ◽

Hao-Yi Wu ◽

Sukhdeep Singh ◽

...

Keyword(s):

Cosmological Parameters ◽

Linear Structure ◽

Sloan Digital Sky Survey ◽

Projected Clustering ◽

True Value ◽

Data Release ◽

Non Linear ◽

Galaxy Sample ◽

Galaxy Bias ◽

Red Galaxies

ABSTRACT We describe our non-linear emulation (i.e. interpolation) framework that combines the halo occupation distribution (HOD) galaxy bias model with N-body simulations of non-linear structure formation, designed to accurately predict the projected clustering and galaxy–galaxy lensing signals from luminous red galaxies in the redshift range 0.16 < z < 0.36 on comoving scales 0.6 < rp < 30 $h^{-1} \, \text{Mpc}$. The interpolation accuracy is ≲ 1–2 per cent across the entire physically plausible range of parameters for all scales considered. We correctly recover the true value of the cosmological parameter S8 = (σ8/0.8228)(Ωm/0.3107)0.6 from mock measurements produced via subhalo abundance matching (SHAM)-based light-cones designed to approximately match the properties of the SDSS LOWZ galaxy sample. Applying our model to Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 14 (DR14) LOWZ galaxy clustering and galaxy-shear cross-correlation measurements made with Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8) imaging, we perform a prototype cosmological analysis marginalizing over wCDM cosmological parameters and galaxy HOD parameters. We obtain a 4.4 per cent measurement of S8 = 0.847 ± 0.037, in 3.5σ tension with the Planck cosmological results of 1.00 ± 0.02. We discuss the possibility of underestimated systematic uncertainties or astrophysical effects that could explain this discrepancy.

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Evidence concerning non-linear structure in Canadian provincial unemployment rates

Structural Change and Economic Dynamics ◽

10.1016/0954-349x(93)90023-d ◽

1993 ◽

Vol 4 (2) ◽

pp. 333-343 ◽

Cited By ~ 4

Author(s):

Murray Frank ◽

Chera Sayers ◽

Thanasis Stengos

Keyword(s):

Linear Structure ◽

Unemployment Rates ◽

Non Linear

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Integrating Constructionism and Instructionism in Educational Hypermedia Programs

Journal of Educational Computing Research ◽

10.2190/qnp8-rvmc-nuyg-3nc8 ◽

1997 ◽

Vol 17 (3) ◽

pp. 231-247 ◽

Cited By ~ 3

Author(s):

Amnon Shabo

Keyword(s):

Subject Matter ◽

Linear Structure ◽

Learning Objectives ◽

Pedagogical Approach ◽

Original Meaning ◽

Learning Path ◽

Non Linear ◽

The Subject ◽

Linear Instruction ◽

Educational Hypermedia

In many educational hypermedia programs, the original meaning of hypertext influenced the entire pedagogical approach underlying the programs. This meant that learners were free to navigate, construct, and choose their learning path. In addition, no learning objectives were mandatory, and the processes of hypertext navigation and artifact constructions were emphasized. The problem of this trend was that learners received little feedback to guide them on how to use the non-linear structure, and not all could acquire important skills and knowledge of the subject matter. This article deals with an attempt to integrate linear instruction elements into hypermedia programs in order for learners to benefit from the advantages of both approaches. It offers feedback as a connecting unit in such an integration and suggests a model of feedback that fades in and out, based on the fading-out model of scaffolding traditionally used in the apprenticeship approach. A few projects are described to illustrate these ideas.

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A non-linear structure–property model for octanol–water partition coefficient

Fluid Phase Equilibria ◽

10.1016/j.fluid.2012.07.001 ◽

2012 ◽

Vol 332 ◽

pp. 85-93 ◽

Cited By ~ 6

Author(s):

Krishna M. Yerramsetty ◽

Brian J. Neely ◽

Khaled A.M. Gasem

Keyword(s):

Partition Coefficient ◽

Linear Structure ◽

Structure Property ◽

Water Partition Coefficient ◽

Non Linear ◽

Property Model

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Using large-scale structure data and a halo model to constrain generalized dark matter

Monthly Notices of the Royal Astronomical Society ◽

10.1093/mnras/stz2559 ◽

2019 ◽

Vol 490 (1) ◽

pp. 813-831 ◽

Cited By ~ 4

Author(s):

Daniel B Thomas ◽

Michael Kopp ◽

Katarina Markovič

Keyword(s):

Dark Matter ◽

Gravitational Lensing ◽

Large Scale ◽

Linear Structure ◽

Microwave Background ◽

Wavenumber Range ◽

Significant Difference ◽

Linear Modelling ◽

Non Linear ◽

Order Of Magnitude

ABSTRACT Constraints on the properties of the cosmological dark matter have previously been obtained in a model-independent fashion using the generalized dark matter (GDM) framework. Here we extend that work in several directions: We consider the inclusion of WiggleZ matter power spectrum data (MPS), and show that this improves the constraints on the two perturbative GDM parameters, $c^2_\mathrm{ s}$ and $c^2_\text{vis}$, by a factor of 3, for a conservative choice of wavenumber range. A less conservative choice can yield an improvement of up to an order of magnitude compared to previous constraints. In order to examine the robustness of this result we develop a GDM halo model (HM) to explore how non-linear structure formation could proceed in this framework, since currently GDM has only been defined perturbatively and only linear theory has been used when generating constraints. We then examine how the HM affects the constraints obtained from the MPS data. The less-conservative wavenumber range shows a significant difference between linear and non-linear modelling, with the latter favouring GDM parameters inconsistent with ΛCDM, underlining the importance of careful non-linear modelling when using this data. We also use this HM to establish the robustness of previously obtained constraints, particularly those that involve weak gravitational lensing of the cosmic microwave background. Additionally, we show how the inclusion of neutrino mass as a free parameter affects previous constraints on the GDM parameters.

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