Results 151 to 160 of about 44,871 (219)

Multi-task adversarial learning detects intersectional algorithmic bias in AI recruitment systems. [PDF]

Sci Rep
Wang J, Xu Y, Liu R, Du Y.
europepmc   +1 more source

Influence of TiC and TiN Ceramic Reinforcements on the Microstructure, Thermal Expansion Behavior, and Tensile Properties of Invar 36 Manufactured by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
This study examines Invar composites reinforced with titanium carbide (TiC) and titanium nitride (TiN) using laser powder bed fusion (LPBF). It presents the influence of reinforcements on microstructure, tensile properties, and thermal expansion. Results show that TiC effectively strengthens Invar while maintaining low thermal expansion, whereas TiN ...
Ayodeji Nathaniel Oyedeji, Natasha Sacks, Johannes Pötschke, Björn Matthey   +3 more
wiley   +1 more source

Predicting movement intensity through anthro-fitness profiling and its association with match outcomes in youth badminton: a logistic regression-based machine approach. [PDF]

BMC Sports Sci Med Rehabil
Nazarudin MN, Musa RM, Abdul Majeed APP, Raj NB, Eswaramoorthi V.   +4 more
europepmc   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Development of Potency Assays for Therapeutic EVs: The Art of Congruence. [PDF]

J Extracell Vesicles
Gimona M, Wauben MHM, Lee SY, Monguió-Tortajada M, Rohde E.   +4 more
europepmc   +1 more source

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

Advanced 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, Osamu Waseda, Bernd Bayerlein, Simon Stier, Steffen Brinckmann, Abril Azócar Guzmán, Sarath Menon, Matthias A. Popp, Jesper R. Pedersen, Ivano E. Castelli, Jörg Waitelonis, Wolfgang Wenzel, Jörg Neugebauer, Jörg Schaarschmidt, Tilmann Hickel   +14 more
wiley   +1 more source

Individual preferences for the design of a health coaching-based lifestyle promotion program among middle-aged adults in Hong Kong: a discrete choice experiment. [PDF]

Health Qual Life Outcomes
Wang K, Lee CCL, Qu G, Tang CTK, Yiu HHE, Yang X, Wong CKM, Wong SY, Yip BHK.   +8 more
europepmc   +1 more source

Materials‐Driven Additive Manufacturing for Electrical Machines: Qualification‐Oriented Design Beyond Geometric Freedom

Advanced Engineering Materials, EarlyView.
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley   +1 more source

Detecting dataset bias in medical AI using a generalized and modality agnostic auditing approach. [PDF]

NPJ Digit Med
Drenkow N, Pavlak M, Harrigian K, Zirikly A, Subbaswamy A, Farhangi MM, Petrick N, Unberath M.   +7 more
europepmc   +1 more source