Results 121 to 130 of about 102,837 (286)

Extremal functions for the critical Trudinger–Moser inequality with logarithmic Kernels

ESAIM: Control, Optimisation and Calculus of Variations
In this paper we study Moser–Trudinger type inequalities for some nonlocal energy functionals in presence of a logarithmic convolution potential, when the domain is a ball. In particular, we perform a blow-up analysis to prove existence of extremal functions in the borderline case of critical growth. Using this, we sharpen the results in [S.
Silvia Cingolani, Tobias Weth, Meng Yu
openaire   +3 more sources

Corporate Decarbonization: Understanding CO2 Emission Drivers Across High‐ and Low‐Polluting Firms in OECD Countries

Business Strategy and the Environment, EarlyView.
ABSTRACT Decarbonization of the economy is a central challenge in the fight against climate change. Although most governments show clear commitment to limiting global warming, the drivers of corporate decarbonization remain underexplored. Using a dataset of 1052 firms from OECD, this article analyses how intangible assets and environmental innovation ...
Yanik Nimtz, Mercedes Teruel
wiley   +1 more source

Free Trade Zones and Corporate ESG: Evidence From a Quasi‐Natural Experiment in China

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how China's Pilot Free Trade Zones (FTZs) influence corporate ESG performance. Using a staggered difference‐in‐differences model on Chinese listed firms from 2009 to 2024, we combine coarsened exact matching (CEM) and geography‐based instrumental variables to ensure robust identification.
Wen Li, Yinghan Zhao, Brian Lucey
wiley   +1 more source

A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data [PDF]

Journal of Sciences, Islamic Republic of Iran, 2015
Length-biased data are widely seen in applications. They are mostly applicable in epidemiological studies or survival analysis in medical researches. Here we aim to propose a Berry-Esseen type bound for the kernel density estimator of this kind of data ...
P. Asghari, V. Fakoor, M. Sarmad
doaj  

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

An analysis of two dimensional integral equations of the second kind

Le Matematiche, 2007
In this article, a numerical method is used to solve the two dimensionalFredholm integral equation of the second kind with weak singular kernel using the Toeplitz matrix and product Nystrom method.
M. M. El-Borai, M. A. Abdou, M. Basseem
doaj  

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Fast Approximation of Algebraic and Logarithmic Hypersingular Type Singular Integrals with Highly Oscillatory Kernel

International Journal of Analysis and Applications, 2020
Herein, highly oscillatory integrals with hypersingular type singularities are studied. After transforming the original integral into a sum of line integrals over a positive semi-infinite interval, a Gauss-related quadrature rule is constructed.
Idrissa Kayijuka, Şerife Müge Ege, Ali Konuralp, Fatma Serap Topal   +3 more
doaj  

In‐situ asphaltene capture with iron oxide nanoparticles in steam‐assisted gravity drainage (SAGD) for improved recovery and partial upgrading of bitumen

The Canadian Journal of Chemical Engineering, EarlyView.
Key improvements obtained by incorporating nanoparticles into a lab‐scale SAGD process configuration. The bar plots show enhanced oil recovery, reduced viscosity, and increased asphaltene adsorption in nanoparticle‐assisted scenarios compared with conventional SAGD.
Luis Prada, Saleh S. Baakeem, Mabkhot BinDahbag, M. Daniela Contreras‐Mateus, Jesus Botett, Afif Hethnawi, Nashaat N. Nassar   +6 more
wiley   +1 more source

Logarithmic Kernel Relaxed Collaborative Representation With Scaled MST Dictionary Construction for Hyperspectral Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Representation-based anomaly detection methods are one of the most popular methods in hyperspectral anomaly detection. Nevertheless, linear models of have difficulties in adequately describing complex data and generating a decision boundary for anomaly ...
Yang Zhao, Hongjun Su, Zhaoyue Wu, Zhaohui Xue, Qian Du   +4 more
doaj   +1 more source