Results 181 to 190 of about 531,323 (307)

Assessing the investment risk: An empirical analysis of Altman's Z-score model. [PDF]

PLoS One
Ahmed KA, Fatima A, Sohail F, Jamal K.
europepmc   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

From Isolation to Collaboration: Data Trading Mechanism in the Era of Large Language Model Democratization. [PDF]

Research (Wash D C)
Wang K, Hui H.
europepmc   +1 more source

Is the Leverage Effect Caused by Leverage?

, 2012
Asymmetric equity volatility is crucial for many financial applications and has in the last few decades become a focus and an important research area in empirical studies. The term leverage effect refers to the observed relationship between returns and volatility.
openaire   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Machine learning-assisted computation of the solubility of solid drugs in supercritical carbon dioxide. [PDF]

Front Chem
Ban W, Zhang B, Wang C, Zhang Y, Cheng Z, Wang H, Zhu Z.   +6 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Diagrams-to-Dynamics (D2D): Exploring causal loop diagram leverage points under uncertainty. [PDF]

BMC Med
Uleman JF, Crielaard L, Elsenburg LK, Veldhuis GA, Rod NH, Quax R, Vasconcelos VV.   +6 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Protein Decoys, Alcohol, and Energy Intake: Testing a Mechanistic-Ecological Model. [PDF]

Obes Rev
Grech A, Simpson SJ, Raubenheimer D.
europepmc   +1 more source