Results 131 to 140 of about 54,663 (307)

AI‐Assisted Digital Single‐Molecule Activity Tracker for Decoupling Intrinsic Heterogeneity from Photo‐Oxidative Damage in High‐Photon‐Flux Enzymology

open access: yesAdvanced Science, EarlyView.
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng   +11 more
wiley   +1 more source

The core of bicapacities and bipolar games [PDF]

open access: yes
Bicooperative games generalize classical cooperative games in the sense that a player is allowed to play in favor or against some aim, besides non participation.
Michel Grabisch, Lijue Xie
core  

Why Didn't I Get a Payout? Understanding Farmer Choices, Index Insurance, and Basis Risk

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Index insurance, while heralded as a potential solution to alleviate poverty and food insecurity among agricultural households, has its own set of challenges, notably basis risk. Basis risk is the discrepancy between the insurance payout and losses incurred, posing a significant deterrent to the adoption of index insurance.
S. Lucille Blakeley   +4 more
wiley   +1 more source

Linear Quadratic Games: An Overview

open access: yes
In this paper we review some basic results on linear quadratic differential games.We consider both the cooperative and non-cooperative case.For the non-cooperative game we consider the open-loop and (linear) feedback information structure.Furthermore the
Engwerda, J.C.
core  

Generalized externality games [PDF]

open access: yes, 2001
Externality games are studied in Grafe et al. (1998). We define a generalization of this class of games and show, using the methodology in Izquierdo and Rafels (1996 and 2001), some properties of the new class of generalized externality games.
Corcho, Paula, Ferreira, José Luis
core  

Determinants of local food producer participation in state‐sponsored marketing programs: Evidence from Missouri

open access: yesAgribusiness, EarlyView.
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

A characterization of cooperative TU-games with large monotonic core

open access: yes
Cooperative TU-games with large core were introduced by Sharkey (1982) and the concept of Population Monotonic Allocation Scheme was defined by Sprumont (1990).
Jesus Getan, Jesus Montes
core  

Coalitionally monotonic set-solutions for cooperative TU games

open access: yes, 2002
A static comparative study on set-solutions for cooperative TU games is carried out. The analysis focuses on studying the compatibility between two classical and reasonable properties introduced by Young (1985) in the context of single valued solutions ...
Izquierdo Aznar, Josep Maria   +1 more
core  

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

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