Results 171 to 180 of about 37,078 (268)

Systematic Deciphering of ATBC Nephrotoxicity Mechanisms via Machine Learning and Single‐Cell Analysis

open access: yesMedicine Bulletin, EarlyView.
This study elucidates the nephrotoxic mechanism of acetyl tributyl citrate (ATBC) by integrating network toxicology, machine learning, and single‑cell multi‑omics analysis to systematically decipher the molecular mechanisms and cell‑type‑specific regulatory networks underlying ATBC‑induced kidney injury. First, a protein‑protein interaction network was
Yimao Wu   +5 more
wiley   +1 more source

Deep Learning‐Based Prediction of Controllable Stress/Strain‐Rate Loading and Design for Loading Conditions

open access: yesMaterials Genome Engineering Advances, EarlyView.
This study establishes the relationship between loading conditions and loading results in graded density impactor (GDI)‐based controllable stress/strain‐rate loading via deep learning, and ultimately realizing the prediction of loading curves and design of loading conditions.
Yiwei Zhang   +7 more
wiley   +1 more source

On the analyzing of bifurcation properties of the one‐dimensional Mackey–Glass model by using a generalized approach

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
The goal of this work is to look at how a nonlinear model describes hematopoiesis and its complexities utilizing commonly used techniques with historical and material links. Based on time delay, the Mackey–Glass model is explored in two instances. To offer a range, the relevance of the parameter impacting stability (bifurcation) is recorded.
Shuai Zhang   +5 more
wiley   +1 more source

Investigating Tuberculosis Dynamics Under Various Control Strategies: A Comprehensive Analysis Using Real Statistical Data

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In the present investigation, a mathematical model with vaccination, treatment, and environmental impact under real data is presented. Initially, we present the model without any interventions, followed by an examination of its equilibrium points.
Bashir Al‐Hdaibat   +4 more
wiley   +1 more source

Some New Maximally Chaotic Discrete Maps. [PDF]

open access: yesEntropy (Basel)
Choi H   +5 more
europepmc   +1 more source

Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy