Results 131 to 140 of about 16,482,147 (331)
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins +2 more
wiley +1 more source
Approximate optimization of the MaxCut problem with a local spin algorithm [PDF]
Aniruddha Bapat, Stephen P. Jordan
openalex +1 more source
The review provides a critical up‐to‐date overview of the current landscape of human in vitro models for fatty liver disease, including spheroids, organoids, organ‐on‐a‐chip systems, bioprinted liver constructs and precision‐cut liver slices. Their utility for faithfully modeling different stages of MASLD and MASH are evaluated and their compatibility ...
Sonia Youhanna +6 more
wiley +1 more source
Disease control as an optimization problem. [PDF]
Navascués M, Budroni C, Guryanova Y.
europepmc +1 more source
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee +3 more
wiley +1 more source
Inverse Coefficient Problem for Epidemiological Mean-Field Formulation
The paper proposes an approach to solving the inverse epidemiological problem, written in terms of the “mean-field” theory. Finding the coefficients of an epidemiological SIR mean-field model is reduced to solving an optimization problem, for the ...
Viktoriya Petrakova
doaj +1 more source
Multi-objective steel plate cutting optimization problem based on real number coding genetic algorithm. [PDF]
Xu J, Yang W.
europepmc +1 more source
Optimization Methods for Inverse Problems
Optimization plays an important role in solving many inverse problems. Indeed, the task of inversion often either involves or is fully cast as a solution of an optimization problem.
Cui, Tiangang +2 more
core
Globalized distributionally robust optimization problems under the moment-based framework [PDF]
Ke-wei Ding, Nan‐jing Huang, Lei Wang
openalex +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source

