Results 131 to 140 of about 352,678 (277)
RhI dimers with bridging aryl isocyanide and di‐phosphine ligands show NIR‐I or NIR‐II fluorescence/phosphorescence, depending on the ligands and conformational rigidity at the Rh2 core. Rh‐Rh interactions can be tuned by peripheral modification of the aryl isocyanide ligand, resulting in a rigid Rh2 core and improved photophysical properties ...
Vanitha R. Naina +4 more
wiley +2 more sources
Microrobotic Catheterization of the Ophthalmic Artery for Targeted Treatment of Retinoblastoma
A microrobotic platform is presented that allows teleoperated and autonomous navigation of flow‐driven magnetic microcatheters, MagFlow, into the ophthalmic artery for superselective intra‐arterial infusion of chemotherapy to treat retinoblastoma. Extensive benchtop validations with patient‐derived biomimetic phantoms under optical and fluoroscopic ...
Artur Banach +5 more
wiley +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Controlling Dynamical Systems Into Unseen Target States Using Machine Learning
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr +2 more
wiley +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Numerical bifurcation analysis of turing and symmetry broken patterns of a PDE model for vegetation dynamics. [PDF]
Spiliotis K +3 more
europepmc +1 more source
Liquid Jetting‐Based Miniature Robotic Navigation in Confined Fluidic Spaces
We introduce a new class of liquid‐jetting‐based miniature robots (JetBots) ranging in size from mm‐to‐cm, featuring a unified approach in design, fabrication, and actuation. They demonstrate fast locomotion (30.3 cm/s), rapid steering (648.8°/s), and diverse functions, such as puncturing soft materials and unlimited cargo sampling and delivery, paving
Debasish Roy, Tianlu Wang
wiley +1 more source
Dynamics of a discrete-time predator-prey model with exponential prey growth and saturated response. [PDF]
Emam HH, El-Metwally H, Hamada MY.
europepmc +1 more source
Double-kissing single-string culotte bifurcation stenting guided by optical coherence tomography. [PDF]
Wong B, Wu EB.
europepmc +1 more source

