Results 51 to 60 of about 169,735,585 (151)

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

Mathematical Finance, Volume 36, Issue 4, Page 826-845, October 2026.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici, Gianluca Fusai, Anna Maria Gambaro, Daniele Marazzina   +3 more
wiley   +1 more source

Integral equations with cauchy type kernels with applications in dislocation theory

, 1991
A brief review of dislocation theory and the solution of singular integral equations with Cauchy-type kernels is presented. These concepts are then applied to the solution of the problem of a crack in a homogeneous medium and the problem of a crack ...
Ryan, Donald Glen
core  

Fractional Moment Theory for Anomalous Transport: A Unified Framework for Lévy Flights, Fractals, and Complex Dynamical Systems

Mathematical Methods in the Applied Sciences, Volume 49, Issue 13, Page 14964-15009, 15 September 2026.
ABSTRACT We develop a unified mathematical framework extending classical moment theory from discrete integer orders to a continuous spectrum of real orders f>0$$ f>0 $$, providing a systematic statistical characterization of complex systems exhibiting power‐law behavior.
Farrukh A. Chishtie
wiley   +1 more source

Dual‐Mode Nanoporous SiO2 Memristors with Coexisting Volatile and Nonvolatile Dynamics for Reservoir Computing

Advanced Science, Volume 13, Issue 51, 14 September 2026.
A nanoporous SiO2 memristor enabling reconfigurable volatile and non‐volatile switching within a single device is demonstrated. The dual‐mode functionality supports both physical reservoir dynamics and synaptic weight storage, allowing unified hardware implementation of reservoir computing for temporal information processing, including image and ...
Bohao Ding, Tongjun Zhang, Li Shao, Nikolay Zhelev, Andrew L. Hector, Ruomeng Huang   +5 more
wiley   +1 more source

Analysis of segregated boundary-domain integral equations for variable-coefficient problems with cracks [PDF]

, 2010
This is the pre-print version of the article. The official published version can be obtained from the link below - Copyright @ 2011 Wiley-BlackwellSegregated direct boundary-domain integral equation (BDIE) systems associated with mixed, Dirichlet and ...
S.E. Mikhailov, Mikhailov, SE, O. Chkadua, Natroshvili, D, Chkadua, O, D. Natroshvili   +5 more
core   +1 more source

Mapping sex‐specific associations of adiposity with age‐related cognitive decline and multimodal Alzheimer's pathology

Alzheimer's &Dementia, Volume 22, Issue 9, September 2026.
Abstract INTRODUCTION The adiposity–cognition relationship in aging is controversial. This study aimed to assess its sex‐ and age‐specific associations with Alzheimer’s disease (AD) pathology using multimodal biomarkers. METHODS In two longitudinal cohorts (Hubei Memory and Aging Cohort Study [HMACS], n = 2,349; Alzheimer’s Disease Neuroimaging ...
Jingjing Zhang, Dan Liu, Yueran Yang, Xiaoyu Lou, Hongwei Ren, Wei Tan, Yan Zeng, for the Alzheimer's Disease Neuroimaging Initiative, and the Hubei Memory and Aging Cohort Study   +8 more
wiley   +1 more source

Analysis of some localized boundary-domain integral equations for transmission problems with variable coefficients [PDF]

, 2011
This is the post-print version of the Article. The official published version can be found at the links below - Copyright @ 2011 Birkhäuser Boston.Some segregated systems of direct localized boundary-domain integral equations (LBDIEs) associated with ...
Mikhailov, SE, O. Chkadua, S. E. Mikhailov, Natroshvili, D, D. Natroshvili   +4 more
core   +1 more source

A Novel Activation Function for Enhancing Deep Neural Network Stability and Performance

Concurrency and Computation: Practice and Experience, Volume 38, Issue 18, September 2026.
ABSTRACT Activation functions play an important role in the performance of deep learning models by enabling them to learn complex and nonlinear relationships. However, widely used activation functions, such as ReLU, ELU, Swish, and GELU, have certain limitations.
Özcan Küçükali, M. Hakan Bozkurt, Esma Ulutaş, Işılay Bozkurt   +3 more
wiley   +1 more source

Bayesian Spatiotemporal Models for Counts of Tropospheric Ozone Daily Exceedances

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT In Northern Italy, air quality has recently become a major concern. The Lombardy region is classified as one of the most polluted areas in Europe due to a combination of geographical factors, high population density, and industrial activities.
Michela Frigeri, Alessandra Guglielmi, Cristina Colombi   +2 more
wiley   +1 more source

Single‐cell marker gene clustering: A unified deep learning framework for marker gene‐based clustering of single‐cell RNA‐sequencing data

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Single‐cell RNA sequencing (scRNA‐seq) has transformed the study of cellular heterogeneity by making it possible to classify individual cells and their functional states. However, the analysis remains difficult because high dropout rates lead to sparse and noisy expression data.
Shahriar Rahman Niloy, Toushif Muktashid Hasan, Md. Saiduzzaman Apu, Fahim Hafiz, Salekul Islam, Riasat Azim   +5 more
wiley   +1 more source