Results 81 to 90 of about 871 (165)

Engineering Layered Magnetic Hydrogels for Cell Placement via Shear and Magnetic Field‐Induced Assembly

Advanced Materials, Volume 38, Issue 44, 7 August 2026.
Magnetic particles are organized into layered architectures by combining shear flow and magnetic fields, with the resulting structures governed by appropriate Mason numbers. The programmed assemblies provide spatial guidance for cell placement, linking field‐controlled self‐assembly, flow‐induced structuring and biological organization.
Guillermo Camacho, Jose R. Morillas, Jesús García‐Gutiérrez, Stefania Nardecchia, Óscar Martínez‐Cano, Juan de Vicente   +5 more
wiley   +1 more source

Flapping Foil-Based Propulsion and Power Generation: A Comprehensive Review. [PDF]

Biomimetics (Basel)
Kandel P, Wang J, Deng J.
europepmc   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, Volume 13, Issue 43, 3 August 2026.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

MHD heat and mass transfer of a ternary hybrid nanofluid over a rotating sphere. [PDF]

Discov Nano
Obalalu AM, Khan U, Fatunmbi EO, Khashi'ie NS, Bashatah JA.   +4 more
europepmc   +1 more source

Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity

Advanced Science, Volume 13, Issue 45, 13 August 2026.
This work introduces a compact, low‐cost tabletop magnetic resonance elastography platform for high‐resolution viscoelastic mapping in soft‐tissue specimens. Using this method in human colorectal liver metastases, we demonstrate fully automated biomechanical profiling of treatment response and show that heterogeneity‐based metrics outperform ...
Weijie Zhao, Lisa‐Marie Skrip, Heiko Tzschätzsch, Tom Meyer, Hossein S. Aghamiry, Alexander Arnold, Lene Änne Böhne, Jakob Jordan, Oliver Boehm, Agnes K. Boehm, Steffen Görner, Jakob Schattenfroh, Yanglei Wu, Pedro Augusto Dantas de Moraes, Johann Pratschke, Jürgen Braun, Igor M. Sauer, Jing Guo, Ingolf Sack, Karl H. Hillebrandt   +19 more
wiley   +1 more source

Modeling tissue-scale ciliary transport and mixing in three-dimensional Newtonian flow. [PDF]

PLoS Comput Biol
Xu L, Senaei P, Jiang Y.
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Intelligent predictive neural network analysis of stefan blowing impacts on chemical reactive flow of Boger nanofluid with thermophoresis and brownian motion. [PDF]

Discov Nano
Shaaban SM, Elhag AB, Teklu SW, Khan I, Farkhad DR, Abbas M, Bayram M.   +6 more
europepmc   +1 more source

Impact of Iridium Crucible Aging on Cz‐YAG Crystal Quality and Process Economy: A Data‐Driven Study

Crystal Research and Technology, Volume 61, Issue 8, August 2026.
Machine learning models trained on CFD‐generated data reveal how iridium crucible aging influences key Czochralski YAG crystal growth outcomes. Interpretable analyses uncover the dominant role of iridium loss and its interactions with process variables, enabling accurate prediction of heating power, interface shape, and the ratio of growth rate to ...
Natasha Dropka, Xiao Le Ye, Kunal Meshram, Debajyoti Biswas, Martin Holena   +4 more
wiley   +1 more source

Hemodynamic simulation in the aortic arch under anemic, diabetic, and healthy blood flow conditions using computational fluid dynamics. [PDF]

PLoS One
Tina FA, Ahmed H, Biswas HR.
europepmc   +1 more source