Results 181 to 190 of about 871 (252)

The mirror Clemens-Schmid sequence. [PDF]

Eur J Math
Doran CF, Thompson A.
europepmc   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

Advanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz, Jonas Fell, Hendrik Jost, Stefan Diebels, Hans‐Georg Herrmann   +4 more
wiley   +1 more source

Tropical Logistic Regression Model on Space of Phylogenetic Trees. [PDF]

Bull Math Biol
Aliatimis G, Yoshida R, Boyacı B, Grant JA.   +3 more
europepmc   +1 more source

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

Advanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw, Zhanhong Yang, Anne Ladegaard Skov, Magdalena Skowyra   +3 more
wiley   +1 more source

Participatory development of innovation and implementation strategy - an action-oriented approach. [PDF]

BMC Health Serv Res
Lee M, Anderson LA, Piltonen E, Maheshwari A, Griffin JL, Vasan SS.   +5 more
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

Advances and Challenges in Sensory Evaluation of Food: Bridging Traditional Methods With Digital Innovation for Sustainable Food Systems. [PDF]

J Texture Stud
Nabi MHB, Arnab AH, Islam N, Ahmad I, Zzaman W.   +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

Artificial Intelligence and Psychophysiological Monitoring for Integrated Performance Modeling in Elite Soccer: A Scoping Review of Applications, Evidence Gaps, and Translational Challenges. [PDF]

Sports (Basel)
Dergaa I, Dhahbi W, Dergaa MA, Razzak M, Ceylan Hİ, Stefanica V, Muntean RI, Guelmami N.   +7 more
europepmc   +1 more source

On a cyclic covering of a projective manifold

Kyoto Journal of Mathematics, 1990
openaire   +2 more sources