Results 71 to 80 of about 343,543 (239)
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Where Egypt stand with climate related-risk disclosures and why stakeholders and organizations require such information? This research aims to measure the climate risk disclosure level in Egyptian companies and to investigate its determinants.
Nevine Sobhy Abdel Megeid
doaj +1 more source
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
This article investigates the dependence of the properties on the manufacturing orientation in the form of the inclination angle to the build plate of LPBF‐fabricated NiTi rods with a diameter of 150–220 µm. Metallographic, chemical, thermal, and mechanical characterization show behavior under identical manufacturing conditions that ranges from ...
Sandra Herzig +2 more
wiley +1 more source
Financial risk management strategies
Implementation of the financial activity in modern conditions is im- possible without special methods of analysis and risk management. The function of financial risk management becomes an increasingly important role and becomes one of the most important
D. A. Sadykhanova
doaj
Valentin Shpak +3 more
openaire +1 more source
Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs
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
THE DIGITAL TRANSFORMATION OF THE FINANCIAL FUNCTION AND ITS IMPLICATIONS FOR ECONOMIC AND FINANCIAL ANALYSIS [PDF]
Digital transformation has become a strategic priority for modern organizations, especially those in the financial sector, where the demands for operational efficiency, regulatory compliance, predictive analytics, and data valorization are increasing.
CĂRUNTU GENU ALEXANDRU
doaj
The purpose of this article is to analyze how professionals who decided to risk intramobility in their careers and who were hired by organizations from the industrial complex of Camaçari (Bahia) perceive the development of people management strategies ...
Aline Craide +3 more
doaj +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
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

