Results 81 to 90 of about 1,035,375 (308)

Horizontal Grid Spacing Convergence of Aquaplanet Experiments Using a Global‐Storm Resolving Model

Journal of Advances in Modeling Earth Systems
Aquaplanet experiments are used to investigate the statistical convergence of the Global Storm‐Resolving model (GSRM) ICOsahedral Nonhydrostatic (ICON) model, under successive, two‐fold horizontal grid spacing refinements from 160 to 1.25 km.
A. Peinado Bravo, D. Klocke, B. Stevens
doaj   +1 more source

Convergence and asymptotic variance of bootstrapped finite-time ruin probabilities with partly shifted risk processes. [PDF]

The classical risk model is considered and a sensitivity analysis of finite-time ruin probabilities is carried out. We prove the weak convergence of a sequence of empirical finite-time ruin probabilities.
Stéphane Loisel, Christian Mazza, Didier Rullière   +2 more
core  

Multifunctional Vertical Bulk‐Heterojunction Transistors With Amorphous GaOx for Neuromorphic Perception‐to‐Decision

Advanced Science, EarlyView.
A multifunctional vertical bulk‐heterojunction transistor (MVBT) with amorphous GaOx integrates four functionalities within a single neuromorphic device. Gate‐source operation enables 254 nm deep‐ultraviolet sensing and threshold neuronal firing, whereas three‐terminal operation supports broadband UV–vis‐NIR synaptic functions and bias‐controlled ...
Jinkui Si, Qiong Zhuang, Rengjian Yu, Junling Zhou, Lan Yang, Changjie Zhou, Huili Zhu, Minshuai Wang, Xiaomei Cai, Qiubao Lin, Wangying Xu, Shuqiong Lan, Huipeng Chen   +12 more
wiley   +1 more source

Notes on Convergence Properties for a Smoothing-Regularization Approach to Mathematical Programs with Vanishing Constraints

Abstract and Applied Analysis, 2014
We give some improved convergence results about the smoothing-regularization approach to mathematical programs with vanishing constraints (MPVC for short), which is proposed in Achtziger et al. (2013).
Qingjie Hu, Yu Chen, Zhibin Zhu, Bishan Zhang   +3 more
doaj   +1 more source

Regression Asymptotics Using Martingale Convergence Methods [PDF]

Weak convergence of partial sums and multilinear forms in independent random variables and linear processes to stochastic integrals now plays a major role in nonstationary time series and has been central to the development of unit root econometrics. The
Peter C.B. Phillips, Rustam Ibragimov
core  

Cross‐Organ Multi‐Omics Profiling of Systemic Alterations in 5xFAD Mice and Changes Associated with Huanglian Jiedu Decoction Treatment

Advanced Science, EarlyView.
Cross‐organ multi‐omics reveals coordinated inflammatory and metabolic disturbances in 5xFAD mice. Huanglian Jiedu Decoction improves cognition and alleviates brain and liver abnormalities. Complementary hepatocyte–microglia conditioned‐medium experiments suggest PPAR‐γ involvement in treatment‐associated changes in microglial inflammation, providing ...
Wenya Gao, Jing Gao, Xiaohui Su, Xiangying Kong, Xiaolu Wei, Tunan Ding, Tiantian Guo, Shuangrong Gao, Yanyan Zhou, Junyi Zhou, Haiyu Zhao   +10 more
wiley   +1 more source

On the Asymptotic Convergence of Subgraph Generated Models

IEEE Transactions on Network Science and Engineering
We study a family of random graph models - termed subgraph generated models (SUGMs) - initially developed by Chandrasekhar and Jackson in which higher-order structures are explicitly included in the network formation process. We use matrix concentration inequalities to show convergence of the adjacency matrix of networks realized from such SUGMs to the
Xinchen Xu, Francesca Parise
openaire   +4 more sources

Transition Modeling and Econometric Convergence Tests [PDF]

A new panel data model is proposed to represent the behavior of economies in transition allowing for a wide range of possible time paths and individual heterogeneity.
Peter C.B. Phillips, Donggyu Sul
core  

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

Advanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source

Targeting a Calcium‐Associated Mitochondrial Vulnerability in TET2‐Deficient Myeloid Cells

Advanced Science, EarlyView.
Reduced TET2 function creates a calcium‐associated mitochondrial vulnerability in macrophages that is preferentially exploited by Lanatoside C. The resulting stress promotes apoptosis of TET2‐deficient macrophages, reduces inflammatory and fibrotic injury in human cardiac organoids, and highlights a genotype‐associated myeloid liability that may be ...
Yue Wang, Minh Duc Pham, Despina Stefanoska, Ting Yuan, Arka Provo Das, Chaonan Zhu, Meiqian Wu, Thanh Thuy Duong, Jaskiran Kaur, Yu Hao, Johannes Krefting, Marius Schwab, Jonathan Ward, Maria Duda, Wesley Abplanalp, Moritz von Scheidt, Andreas M. Zeiher, Stefanie Dimmeler, Jaya Krishnan   +18 more
wiley   +1 more source