Generation of Neural Organoids and Their Application in Disease Modeling and Regenerative Medicine
Neural organoids provide a versatile platform for neurological research. Advances in organoid technology have partially achieved human neural tissue complexity in terms of tissue structure, cell diversity, and neural signaling, offering insights into neural disorders and regenerative strategies. Technology advances from biomaterials, bio‐manufacturing,
Ruiqi Huang+4 more
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Investigation of soliton solutions to the (2 + 1)-dimensional stochastic chiral nonlinear Schrödinger equation with bifurcation, sensitivity and chaotic analysis. [PDF]
Alqhtani M+5 more
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Bacteria Optimize Tumble Bias to Strategically Navigate Surface Constraints
The study investigates how Escherichia coli optimizes tumble bias (TB) to navigate surface constraints effectively. Using single‐cell tracking and modeling, it reveals that bacterial surface residence time decreases with increasing TB, stabilizing near the wild‐type mean TB (≈0.25), where surface diffusivity peaks.
Antai Tao+3 more
wiley +1 more source
From stochastic differential equation to quantum field theory [PDF]
Roman Gielerak, Piotr Ługiewicz
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Reconstructing Three‐Dimensional Optical Anisotropy with Tomographic Müller‐Polarimetric Microscopy
Tomographic Müller polarimetric microscopy is a novel imaging technique that resolves 3D birefringent properties of bulky samples, unveiling hierarchical nanostructures at microscopic resolution. Based on incoherent visible‐light polarimetry, it achieves experimental simplicity by eliminating phase measurements.
Yang Chen+4 more
wiley +1 more source
Iterative Forecasting of Financial Time Series: The Greek Stock Market from 2019 to 2024. [PDF]
Bakalis E, Zerbetto F.
europepmc +1 more source
The density asymptotics associated with a stochastic differential equation
Ian Davies
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Can a generative model design molecules that truly understand their targets? BInD, a diffusion‐based framework, co‐generates 3D molecules and their interactions with proteins by learning target‐specific interacting patterns. With knowledge‐based guidance and NCI‐driven optimization, BInD balances affinity, geometry, and drug‐likeness – pushing the ...
Joongwon Lee+3 more
wiley +1 more source
Connections between sequential Bayesian inference and evolutionary dynamics. [PDF]
Pathiraja S, Wacker P.
europepmc +1 more source
Stochastic differential equations and numerical simulation for pedestrians
J. C. Garrison
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