Results 111 to 120 of about 5,084,019 (288)

Interdependence of sustainability and value creation

open access: yesEconomics of Sustainable Development
Sustainable business means cleaner and more environmentally focused business, which will meet current needs, but also leave the opportunity for future generations to use the benefits of natural resources. Companies are interested in sustainable business, because in this way they can influence the creation of value and the achievement of better business
Anđela Milenković   +2 more
openaire   +1 more source

Fair Division with Interdependent Values

open access: yes, 2023
We introduce the study of designing allocation mechanisms for fairly allocating indivisible goods in settings with interdependent valuation functions. In our setting, there is a set of goods that needs to be allocated to a set of agents (without disposal)
Leonardi, Stefano   +3 more
core  

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

open access: yesAdvanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang   +14 more
wiley   +1 more source

Examining the Potential Benefits of Affirming Values on Memory for Educational Information

open access: yesBehavioral Sciences
First-generation students can experience a cultural mismatch between their values and those that colleges and universities tend to prioritize. This mismatch can increase cognitive load, leaving fewer resources available for learning.
Karen Arcos   +2 more
doaj   +1 more source

Identifying Interdependent Behavior in an Empirical Model of Labor Supply [PDF]

open access: yes
In this paper we test a particular form of interdependent behavior, namely the hypothesis that individuals´ choices of hours of work are influenced by the average hours of work in a social reference group.
Blomquist, Sören   +2 more
core  

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

open access: yesAdvanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin   +12 more
wiley   +1 more source

Resource Allocation of Cooperative Alternatives Using the Analytic Hierarchy Process and Analytic Network Process with Shapley Values

open access: yesAlgorithms
Cooperative alternatives need complex multi-criteria decision-making (MCDM) consideration, especially in resource allocation, where the alternatives exhibit interdependent relationships.
Jih-Jeng Huang, Chin-Yi Chen
doaj   +1 more source

Asymptotic revenue equivalence of asymmetric auctions with interdependent values

open access: yes
We prove an asymptotic revenue equivalence among weakly asymmetric auctions with interdependent values, in which bidders have either asymmetric utility functions or asymmetric distributions of signals.Asymmetric auctions Interdependent values ...
Gavious, Arieh, Fibich, Gadi
core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

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