Results 141 to 150 of about 19,641,006 (303)

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Higher-order perturbation solutions to dynamic, discrete-time rational expectations models [PDF]

We present an algorithm and software routines for computing nth order Taylor series approximate solutions to dynamic, discrete-time rational expectations models around a nonstochastic steady state.
Andrew Levin, Gary Anderson, Eric Swanson   +2 more
core  

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

Efficient Likelihood Evaluation of State-Space Representations [PDF]

We develop a numerical procedure that facilitates efficient likelihood evaluation in applications involving non-linear and non-Gaussian state-space models.
David N. DeJong, Guilherme Moura, Hariharan Dharmarajan, Roman Liesenfeld, Jean-Francois Richard   +4 more
core  

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

Advanced Science, EarlyView.
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang, Shijie He, Yuheng Chang, Sheng Mao, Jianan Canal Li, Binbin Chen, Hongxun Gao, Mingchun Xu, Chenxu Liu, Yajie Wang   +9 more
wiley   +1 more source

Consumer confidence in dynamic stochastic general equilibrium model

, 2020
Predicting future is essential in the economics literature and the recent literature have focused on the importance of `animal spirits`, i.e., ideas, feelings of the agents in explaining economic activity. The thesis assumes that consumer behavior can be proxied by consumer confidence index (CCI).
openaire   +1 more source

An estimated dynamic stochastic general equilibrium model of the euro area [PDF]

This paper develops and estimates a dynamic stochastic general equilibrium (DSGE) model with sticky prices and wages for the euro area. The model incorporates various other features such as habit formation, costs of adjustment in capital accumulation and
Raf Wouters, Frank Smets
core  

Switching Spike Plasticity Shapes ACE2 Engagement Across SARS‐CoV‐2 Variants

Advanced Science, EarlyView.
Conformational plasticity governs SARS‐CoV‐2 spike function and ACE2 recognition. Using high‐speed AFM and single‐molecule force spectroscopy, we analyzed the ancestral spike and nine variants, revealing progressive rigidification from Delta, variable plasticity in Omicron sublineages, and JN.1 compaction.
Sarah Stainer, Rong Zhu, Manuel Reithofer, Gerhard Stadlmayr, Katharina Stadlbauer, Panchika Prangkio, Christoph Rippel, Markus Hahn, Aniko Eva Kasztner, Stefanie Stohl, Petr Bednar, Daniel Ruzek, David Glück, Robert Tampé, Gordana Wozniak‐Knopp, Yoo Jin Oh, Miriam Klausberger, Peter Hinterdorfer   +17 more
wiley   +1 more source

Estimation and evaluation of DSGE models: progress and challenges [PDF]

Estimated dynamic stochastic equilibrium (DSGE) models are now widely used for empirical research in macroeconomics as well as for quantitative policy analysis and forecasting at central banks around the world.
Frank Schorfheide
core  

Revealing the Underlying Mechanisms in Performance Enhancement of Shellular Lattice Electrodes During Anion Exchange Membrane Water Electrolysis Process

Advanced Science, EarlyView.
Micro laser powder bed fusion enables architected nickel shellular lattice gas diffusion layers for anion exchange membrane water electrolysis. Among regular open cell geometries, the Gyroid lattice promotes bubble release, convective reactant replenishment and continuous electron transport, delivering low overpotentials, enhanced charge transfer and ...
Tianxiao Niu, Rui Li, Xiao Chen, Deyong Sun, Tianyu Gao, Junhao Ding, Shuo Qu, Xu Song   +7 more
wiley   +1 more source