Results 61 to 70 of about 503,210 (300)

THE PROBLEM OF THE RELATIONSHIP BETWEEN PREDESTINATION AND FREEDOM OF CHOICE IN THE HISTORICAL AND PHILOSOPHICAL CONTEXT

open access: yesRussian Studies in Culture and Society
Background. The subject of the research in this article is one of the most fundamental worldview problems - the question of the relationship between free will and predestination in the religious and philosophical context.
Dar'ya A. Nadeina, Oleg V. Chekrygin
doaj   +1 more source

An Information Theoretic Condition for Perfect Reconstruction

open access: yesEntropy
A new information theoretic condition is presented for reconstructing a discrete random variable X based on the knowledge of a set of discrete functions of X. The reconstruction condition is derived from Shannon’s 1953 lattice theory with two entropic metrics of Shannon and Rajski.
Delsol, Idris   +4 more
openaire   +4 more sources

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

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

open access: yesAgribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

What if God commanded something horrible? A pragmatics-based defence of divine command metaethics [PDF]

open access: yes, 2021
The objection of horrible commands claims that divine command metaethics is doomed to failure because it is committed to the extremely counterintuitive assumption that torture of innocents, rape, and murder would be morally obligatory if God commanded ...
Kremers, Philipp
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Asset Identification Under the Cape Town Convention and Protocols [PDF]

open access: yes, 2018
A titania-supported nickel catalyst was prepared and tested in methanation in order to evaluate its catalytic properties (activity, selectivity and specially, activity loss), and compare it with an alumina-supported nickel catalyst. The titania-supported
Goode, Sir Roy
core   +2 more sources

Sufficient conditions for perfect mixed tilings

open access: yesJournal of Combinatorial Theory, Series B
40 pages + 3 pages ...
Eoin Hurley, Felix Joos, Richard Lang
openaire   +4 more sources

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla   +4 more
wiley   +1 more source

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