Results 91 to 100 of about 17,735 (266)

Causal analysis of extreme risk in a network of industry portfolios

Canadian Journal of Statistics, EarlyView.
Abstract We provide a detailed review of causal dependence within the framework of max‐linear structural models. Such models express each node variable as a max‐linear function of its parental node variables in a directed acyclic graph (DAG) and some exogenous innovation.
Claudia Klüppelberg, Mario Krali
wiley   +1 more source

A partially shared magnitude system: Common and specialized neural substrates underlying spatial, numerical, and temporal arithmetic

NeuroImage
Magnitude, such as time, space and number, constitutes a foundational construction of perceptual and cognitive experience. A Theory of Magnitude proposes that these dimensions are processed by a shared magnitude system.
Liangzhi Jia, Zhiwei Zhang, Chengtao Wang, Yuanyi Liu, Fangwen Yu, Di Zhang, Yun Pan   +6 more
doaj   +1 more source

Self‐Similar Blowup for the Cubic Schrödinger Equation

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We give a rigorous proof for the existence of a finite‐energy, self‐similar solution to the focusing cubic Schrödinger equation in three spatial dimensions. The proof is computer‐assisted and relies on a fixed point argument that shows the existence of a solution in the vicinity of a numerically constructed approximation.
Roland Donninger, Birgit Schörkhuber
wiley   +1 more source

A New Strategy to Design Reconfigurable Rivest–Shamir–Adleman (RSA) Accelerators

International Journal of Circuit Theory and Applications, EarlyView.
A reconfigurable FPGA‐based RSA accelerator is proposed using compression‐based modular multipliers combined with pseudomoduli arithmetic. The approach maps modular exponentiation to low‐cost arithmetic domains and applies a correction stage, achieving significant improvements in delay, operating frequency, and delay–area efficiency compared with ...
Augusto C. B. Vassoler, Gabriel B. M. Fernandes, Lucas R. Kieslich, Eduardo A. Bezerra, Hector Pettenghi   +4 more
wiley   +1 more source

Microscopic time‐dependent mechanical behavior of shale derived from nanoindentation

Deep Underground Science and Engineering, EarlyView.
This study conducted grid nanoindentation creep tests to systematically analyze the microscopic creep behaviors of shale. Based on the analysis of creep strain rate sensitivity, the primary mechanism of microscopic creep in shale was found to be the extension and closure of microcracks.
Cunbao Li, Shilei Zhong, Heping Xie, Changtai Zhou, Jianjun Hu   +4 more
wiley   +1 more source

Hydrophobic eutectic solvent‐engineered membranes for highly permeable, selective, and antifouling pharmaceutical removal from municipal wastewater

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Single‐step incorporation of a hydrophobic deep eutectic solvent (HDES) into polyethersulfone ultrafiltration membranes via non‐solvent induced phase separation creates selective, antifouling membranes for pharmaceutical removal. The HDES nanodomains enhance permeability, electrostatic interactions, and adsorption affinity, enabling efficient and ...
Anjali Goyal, Tarek Lemaoui, Mahendra Kumar, Ahmad S. Darwish, Ali Zerriouh, Fawzi Banat, Hassan A. Arafat, Shadi W. Hasan, Inas M. AlNashef   +8 more
wiley   +1 more source

Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks

Energy Science &Engineering, EarlyView.
This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk, Habib Benbouhenni, Z. M. S. Elbarbary, Mohamed Benidir   +3 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Coupled Clustering in Hierarchical Matrices for the Oseen Problem

International Journal for Numerical Methods in Fluids, EarlyView.
Fluid flow problems can be modelled by the Navier‐Stokes or, after linearization, by the Oseen equations. Their discretization results in linear systems in saddle point form which are typically very large and need to be solved iteratively. We propose a novel block structure for hierarchical matrices which is then used to build preconditioners for the ...
Jonas Grams, Sabine Le Borne
wiley   +1 more source

Performance Assessment of the Immersed Boundary Method in the Framework of the Moment Representation Lattice Boltzmann Method

International Journal for Numerical Methods in Fluids, EarlyView.
The immersed boundary method (IBM) was coupled with the moment representation lattice Boltzmann method (MR‐LBM), reducing bandwidth requirements compared to population‐based LBM formulations. A systematic assessment of IBM parameters was conducted to quantify their effect on computational performance.
Marco A. Ferrari, Ricardo de Souza, Admilson T. Franco   +2 more
wiley   +1 more source