Results 101 to 110 of about 119 (119)

Trading Gains: Statistical Artifact or Economic Reality?

Review of Income and Wealth, Volume 72, Issue 3, August 2026.
ABSTRACT In a recent article published in this Review, Balk (2025) suggests that trading gains might just be a statistical artifact. This rather provocative proposition is in sharp contrast with the empirical evidence that trading gains (or losses) in open economies can exceed several percentage points of gross domestic product (GDP). The U.S.
Ulrich Kohli
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, Volume 72, Issue 7, July 2026.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Model‐based fault diagnosis and fault tolerant control in safety‐critical chemical reactors: An experimental study

AIChE Journal, Volume 72, Issue 7, July 2026.
Abstract This study investigates a fault‐tolerant control (FTC) approach for continuous stirred‐tank reactors (CSTR), emphasizing the importance of timely interventions to ensure operational safety under fault conditions. A systematic methodology combining residual‐based fault estimation and Dynamic Safety Margin (DSM) monitoring is developed to guide ...
Pu Du, Ritu Ranjan, Benjamin Wilhite, Costas Kravaris   +3 more
wiley   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Nonparametric Independence Screening and Selection Approach for Volatility Models With Exogenous Covariates

Applied Stochastic Models in Business and Industry, Volume 42, Issue 4, July/August 2026.
ABSTRACT This paper introduces a nonparametric and non‐penalised variable selection procedure, called Volatility Nonparametric Independence Screening and Selection (Vol‐NIS‐S), designed for ultra‐high‐dimensional nonlinear dynamic time series models relevant to business and industrial applications.
Giuseppe Feo, Francesco Giordano, Sara Milito   +2 more
wiley   +1 more source

Physics‐Informed Artificial Intelligence for Battery Degradation, Aging, and Lifetime Prediction

Battery Energy, Volume 5, Issue 4, July 2026.
By embedding battery degradation physics into data‐driven learning, physics‐informed artificial intelligence enforces physical consistency, degradation awareness, and uncertainty modeling, enabling robust lifetime prediction, digital‐twin representation, and decision‐reliable battery management beyond purely empirical approaches.
Mohamad Fani Sulaima, Sunny Arora, Robert Frischer, Hamidreza Namazi   +3 more
wiley   +1 more source

Projecting future damage costs of non‐native species using combined dynamical and cost–density equations

Ecological Applications, Volume 36, Issue 5, July 2026.
Abstract Biological invasions threaten biodiversity, economic stability, and public health, exacerbated by intensive global trade and transport. The economic costs of these invasions have exceeded US$2 trillion globally and continue to increase. Although past invasion costs have been described across various contexts, there are few robust projections ...
Danish A. Ahmed, Corey J. A. Bradshaw, Noor Tahat, Emma J. Hudgins, Pierre Courtois, Philip E. Hulme, Yuya Watari, Ali Serhan Tarkan, Ismael Soto, Phillip J. Haubrock, Paride Balzani, Ross N. Cuthbert   +11 more
wiley   +1 more source

Uncertainty Quantification of Analytical Solutions for the Nonlinear Space and Time Fractional Order ϕ4$$ {\phi}^4 $$ Equation Under Fuzziness

Engineering Reports, Volume 8, Issue 7, July 2026.
Analytical fuzzy soliton solutions of a modified space–time fractional ϕ4$$ {\phi}^4 $$ model are derived using EHFM, capturing memory effects and uncertainty. Results reveal diverse wave structures and show how fractional order and fuzziness significantly influence soliton amplitude, localization, and propagation, with heightened sensitivity near the ...
Mohsin Khalid, Neha Andaleeb Khalid, Baboucarr Ceesay, Zafar Iqbal   +3 more
wiley   +1 more source

Multidimensional Energy Poverty, Food Expenditure, and Dietary Diversity Among Rural Households

Food and Energy Security, Volume 15, Issue 4, July/August 2026.
ABSTRACT This study examines the effects of multidimensional energy poverty on food expenditure, dietary diversity, and the consumption of key food groups among rural households in China. Using household survey data collected in 2023 from eastern, central, and western China, we construct a multidimensional energy poverty index and employ a conditional ...
Junpeng Li, Wanglin Ma
wiley   +1 more source

On the Bayesness, minimaxity and admissibility of point estimators of allelic frequencies

Journal of Theoretical Biology, 2015
Kshitij Khare, Mauricio Elzô, CARLOS Alberto Martinez   +2 more
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