Results 51 to 60 of about 1,258,420 (289)

Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs

open access: yesAdvanced Engineering Materials, EarlyView.
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen   +14 more
wiley   +1 more source

Constructing Fair Destination-Oriented Directed Acyclic Graphs for Multipath Routing

open access: yesJournal of Applied Mathematics, 2014
Extensive research in the field of telecommunications has been done on the techniques of multipath routing, as they offer many advantages over conventional single-path routing methods.
Katarzyna Kalinowska-Górska   +1 more
doaj   +1 more source

Inferring Regulatory Networks From Mixed Observational Data Using Directed Acyclic Graphs

open access: yesFrontiers in Genetics, 2020
Construction of regulatory networks using cross-sectional expression profiling of genes is desired, but challenging. The Directed Acyclic Graph (DAG) provides a general framework to infer causal effects from observational data. However, most existing DAG
Wujuan Zhong   +12 more
doaj   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns   +67 more
wiley   +1 more source

Directed acyclic graphs and causal thinking in clinical risk prediction modeling

open access: yesBMC Medical Research Methodology, 2020
Background In epidemiology, causal inference and prediction modeling methodologies have been historically distinct. Directed Acyclic Graphs (DAGs) are used to model a priori causal assumptions and inform variable selection strategies for causal questions.
Marco Piccininni   +3 more
doaj   +1 more source

Polyphenol‐Inspired Materials for Agricultural Applications

open access: yesAdvanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu   +8 more
wiley   +1 more source

Algebras associated to acyclic directed graphs [PDF]

open access: yes, 2009
We construct and study a class of algebras associated to generalized layered graphs, i.e. directed graphs with a ranking function on their vertices and edges.
Retakh, Vladimir, Wilson, Robert Lee
core   +1 more source

Context‐Dependent Inverse Association of Glucose–Lipid Metabolic Status With Anemia: Evidence From Multinational Multicohort Analyses

open access: yesAdvanced Science, EarlyView.
Across six multinational cohorts, higher triglyceride–glucose index values are consistently associated with lower prevalent and incident anemia, despite their established adverse cardiometabolic significance. This inverse relationship varies across inflammatory, cardiovascular, and renal contexts, suggesting that glucose–lipid metabolic status carries ...
Guosong Jiang   +13 more
wiley   +1 more source

On the Page Number of Upward Planar Directed Acyclic Graphs

open access: yesJournal of Graph Algorithms and Applications, 2013
In this paper we study the page number of upward planar directed acyclic graphs. We prove that: (1) the page number of any n-vertex upward planar triangulation G whose every maximal 4-connected component has page number k is at most min{O(klogn),O(2k)}; (
Fabrizio Frati   +2 more
doaj   +1 more source

What Explains Racial Differences in Farm Succession Planning? Evidence From Decomposition and Counterfactual Analysis

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines racial differences in farm succession planning using survey data from Tennessee farmers. While observed differences between White and Black farmers are small, decomposition and counterfactual analyses show that structural characteristics, particularly farm size, would predict higher succession planning among White farmers ...
Abdelaziz Lawani   +2 more
wiley   +1 more source

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