Results 91 to 100 of about 18,040 (302)
Advanced Science, EarlyView.Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu +5 more
wiley +1 more source
Beyond the implementation of a dynamic stochastic general equilibrium model [PDF]
Theoretical and Applied Economics, 2015 The present paper is structured as a brief guide focused on the rendering of the output generated by Dynare, a specific tool of Matlab, when implementing a Dynamic Stochastic General Equilibrium model for impulse-response function analysis purpose. After a concise description of a standard Real Business Cycle model, the steady state of variables, the ...
openaire +1 more source
Identification of Dynamic Stochastic General Equilibrium Models [PDF]
, 2014 The dissertation "Identification of Dynamic Stochastic General Equilibrium Models" by Stephen David Morris is divided into three chapters. The first chapter considers the statistical implications of common identifying restrictions for DSGE models.
Morris, Stephen David
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Femtosecond‐Laser‐Induced Physical Unclonable Random Maze Structure for Storage‐Free Encryption
Advanced Science, EarlyView.Femtosecond‐laser‐induced gold random maze structures serve as multimodal physical unclonable functions for storage‐free encryption. Their stochastic optical, electrical, and Raman responses are generated by plasmon‐assisted Marangoni formation and converted into AES‐compatible keys without permanent secret‐key storage, offering a portable route toward
Shiru Jiang +6 more
wiley +1 more source
The Labour Market in a New Neoclassical Synthesis Model with Nominal Wage Rigidities
Gospodarka Narodowa. The Polish Journal of Economics, 2018 The aim of this article is to review a body of research that uses labour market components to build models of Dynamic Stochastic General Equilibrium (DSGE) and to assess the implications of such models for monetary policy.
Przemysław Włodarczyk
doaj +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
Advanced Science, EarlyView.This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Regional dynamic stochastic general equilibrium model as a tool for analysis of fiscal policy
Вестник Пермского университета: Серия Экономика, 2019 Using the tools of regional dynamic models for analyzing the economy of the constituent entities of the Russian Federation, in particular, for studying regional business cycles is currently an urgent task.
Leonid Aleksandrovich Serkov
doaj +1 more source
How to Solve Dynamic Stochastic Models Computing Expectations Just Once [PDF]
We introduce a technique called "precomputation of integrals" that makes it possible to compute conditional expectations in dynamic stochastic models in the initial stage of the solution procedure.
Lilia Maliar +2 more
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Advanced Science, EarlyView.This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu +11 more
wiley +1 more source
Inflation Forecasting: The Practice of Using Synthetic Procedures
Мир новой экономики, 2019 The article contains a review of inflation forecasting models, including the most popular class of models as one-factor models: random walk, direct autoregression, recursive autoregression, stochastic volatility with an unobserved component and of the ...
E. V. Balatskiy, M. A. Yurevich
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