Results 41 to 50 of about 1,159 (214)

A preconditioned inexact infeasible quantum interior point method for linear optimization

Computational Optimization and Applications
Abstract Quantum Interior Point Methods (QIPMs) have been attracting significant interests recently due to their potential of solving optimization problems substantially faster than state-of-the-art conventional algorithms. In general, QIPMs use Quantum Linear System Algorithms (QLSAs) to substitute classical linear system solvers ...
Zeguan Wu, Xiu Yang, Tamás Terlaky
openaire   +2 more sources

Coping With Production Risk: Effects of Sown Plant Diversity on the Attractiveness of Crop Insurance in Grasslands

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Increased frequency of extreme weather events, particularly droughts, threatens grassland farming by destabilizing yields and farms' economic viability. We examine, theoretically and through numerical simulations, how sown plant diversity (natural insurance) influences the attractiveness of indemnity and drought index insurance (formal ...
Nicolas Alou, Sergei Schaub, Martin Quaas, Robert Finger   +3 more
wiley   +1 more source

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

Agribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann, Ching‐Hua Yeh, Matthew Gorton, Barbara Tocco, Áron Török   +4 more
wiley   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface

Advanced Intelligent Systems, EarlyView.
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee, Hyunreal Park, Hyunsu Kim, Harim Ji, Dongho Yee, Dongjun Lee   +5 more
wiley   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

AI &Innovation, EarlyView.
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga, Fevrier Valdez, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source

Cardiovascular Exercise Drives Neuroprotection in a Mouse Model of Spinocerebellar Ataxia 1 Via Rescue of Aberrant Splicing

Annals of Neurology, EarlyView.
Objective Spinocerebellar ataxia 1 (SCA1) is a fatal hereditary neurodegenerative disorder with no approved therapies, and gene‐targeting strategies have thus far failed in clinical trials. Exercise remains the only intervention shown to provide clinical benefit in patients with spinocerebellar ataxias (SCAs), yet the underlying mechanisms remain ...
Isabel Soto, Michael Bonomo, Brianna S. Nelthrope, Benjamin D. Carr, Emma Palmer, Mariana Sierra, Ilkim Erturk, David Peppercorn, Eleonor Cox, Tiare K. Vasconcellos, Henry L. Paulson, Hannah K. Shorrock, Sharan R. Srinivasan   +12 more
wiley   +1 more source

Multi‐method analysis for the three‐dimensional reconstruction of muscle fascicles from DiceCT datasets

The Anatomical Record, EarlyView.
Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz, Michael C. Granatosky, Cassidy E. Davis, Julia Molnar, Adam Hartstone‐Rose, Edwin Dickinson   +5 more
wiley   +1 more source