Results 111 to 120 of about 26,074 (306)

A constrained multinomial Probit route choice model in the metro network: Formulation, estimation and application.

open access: yesPLoS ONE, 2017
Considering that metro network expansion brings us with more alternative routes, it is attractive to integrate the impacts of routes set and the interdependency among alternative routes on route choice probability into route choice modeling.
Yongsheng Zhang   +3 more
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder   +3 more
wiley   +1 more source

Flattening of the Phillips Curve and the Role of Oil Price: An Unobserved Components Model for the USA and Australia

open access: yes
We use the unobserved components model of Harvey (1989 and 2011) to estimate the Phillips curve (PC) for the USA and Australia, by augmenting it with oil prices. We found that the level coefficient of inflation and the coefficient of demand pressure have
Rao, B. Bhaskara, Paradiso, Antonio
core  

Unemployment and Hysteresis: A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components Approach [PDF]

open access: yes
A new test for hysteresis based on a nonlinear unobserved components model is proposed. Observed unemployment rates are decomposed into a natural rate component and a cyclical component.
Silvestro DI SANZO, Alicia PEREZ-ALONSO
core  

Determinantal Generalizations of Instrumental Variables

open access: yesJournal of Causal Inference, 2018
Linear structural equation models relate the components of a random vector using linear interdependencies and Gaussian noise. Each such model can be naturally associated with a mixed graph whose vertices correspond to the components of the random vector.
Weihs Luca   +8 more
doaj   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

Multi‐Enzyme Mimetic Molybdenum Nitride Nanozymes Reshape Subgingival Microenvironment for Synergistic Periodontitis Therapy via ROS Regulation and Microbiome Remodeling

open access: yesAdvanced Science, EarlyView.
ABSTRACT Periodontitis, a chronic inflammatory disease initiated and sustained by plaque microorganisms and host immune response, remains an intractable oral disease and a leading cause of tooth loss worldwide. Traditional mechanical debridement and adjunctive antibiotic or antiseptic therapy often shows limited efficacy due to the complex anatomical ...
Weiyu Zhang   +12 more
wiley   +1 more source

An Unobserved Components Model of the Monetary Transmission Mechanism in a Small Open Economy [PDF]

open access: yes
This paper develops and estimates an unobserved components model for purposes of monetary policy analysis and inflation targeting in a small open economy.
Francis Vitek
core  

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

Unemployment Dynamics: An Unobserved Components Approach [PDF]

open access: yes, 1998
: The study uses a bivariate unobserved components model for output and the unemployment rate in order to examine stylised facts of the cyclical behaviour of unemployment and to estimate the size of persistence. The model is applied to the U.S ., Canada,
Rünstler, Gerhard
core  

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