Results 221 to 230 of about 3,247,968 (335)

Modeling angiogenesis under Robin boundary conditions

open access: yesQuantitative Biology, Volume 13, Issue 4, December 2025.
Abstract In this study, we show an example of a numerical model based on the Keller–Segel system of equations to simulate angiogenesis in response to chemotaxis under Robin boundary conditions, which represent the presence of flux at the tumor. Different parameters of the model are modified to identify key biological factors relevant to the behavior of
Pablo Álvarez‐Caudevilla   +2 more
wiley   +1 more source

Stemflow Hydrodynamics

open access: yesReviews of Geophysics, Volume 63, Issue 3, September 2025.
Abstract Stemflow hydrodynamics is the study of water movement along the exterior surface area of plants. Its primary goal is to describe water velocity and water depth along the stem surface area. Its significance in enriching the rhizosphere with water and nutrients is not in dispute.
Gabriel G. Katul   +3 more
wiley   +1 more source

Assessment of Flood Risk Mitigation Measures Based on Economic and Social Performance: A Case Study From Ağva, Türkiye

open access: yesJournal of Flood Risk Management, Volume 18, Issue 3, September 2025.
ABSTRACT In this study, flood mitigation measures, both structural and nature‐based ones, are proposed, and their social and economic performances are quantified using a multi‐criteria decision analysis framework. The effectiveness of the selected measures is evaluated through numerical modeling. As a case study, flood inundation areas and flood hazard
Yunus Oruc   +2 more
wiley   +1 more source

Hybrid Modeling of the Reversed‐Phase Chromatographic Purification of an Oligonucleotide: Few‐Shot Learning From Differentiable Physics Solver‐in‐the‐Loop

open access: yesBiotechnology and Bioengineering, Volume 122, Issue 8, Page 2179-2192, August 2025.
The DP‐SOL hybrid modeling framework was employed to model the reversed‐phase chromatographic purification of oligonucleotides. By combining differentiable physics and neural networks at the solver level, DP‐SOL outperforms traditional mechanistic models in prediction accuracy, captures complex process dynamics and offers a robust approach for ...
Yu‐Cheng Chen   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy