Results 211 to 220 of about 95,161 (264)

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

Environmental deprivation is associated with reward processing impairments and negative symptoms in schizophrenia. [PDF]

Schizophr Res
Strauss GP, Luther L, Raugh IM, Zhang S, Jarvis SA, Knippenberg AR, Hutcheson AL, Cohen AS.   +7 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

Neural reward processing among children with conduct disorder and mild traumatic brain injury in the ABCD study. [PDF]

Psychol Med
Carr HR, Eisenbarth H, Golm D, Golm D, Waller R, Brandt V.   +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

Major Depressive Disorder and Serum Inflammatory Biomarkers as Predictors of Reward-Processing Dysfunction in an American Indian Sample. [PDF]

Biol Psychiatry Cogn Neurosci Neuroimaging
Rojas L, Mann E, Ren X, Bethel D, Baughman N, Burrows K, Kuplicki R, Figueroa-Hall LK, Aupperle RL, Stewart JL, Guinjoan SM, Khalsa SS, Savitz J, Paulus MP, Wilhelm RA, John-Henderson NA, Yeh HW, White EJ.   +17 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

Rapidly Solidified High‐Strength Invar 36 Prepared by Planar‐Flow Melt Spinning

Advanced Engineering Materials, EarlyView.
The Invar 36 alloy was rapidly solidified using the planar‐flow melt‐spinning technique. Ribbon samples with thicknesses ranging from 20 to 160 mm were produced. As the grain size of the ribbon decreased to sub‐micron levels, the hardness increased by more than 2 times.
Bekir Akgül, Mehmet Kul
wiley   +1 more source

Reward Processing in Mood Disorders and Schizophrenia: A Neurodevelopmental Framework. [PDF]

Annu Rev Clin Psychol
Nusslock R, Mittal VA, Alloy LB.
europepmc   +1 more source