Results 171 to 180 of about 21,689 (298)

Parkinson's Disease and Retinal Age Gap: A Cross‐Sectional Analysis

Movement Disorders, EarlyView.
Abstract Background Deep‐learning models are capable of predicting age from retinal scans and the difference between this and chronological age, retinal age gap, has been shown to be significantly associated with risk of mortality, cardiovascular diseases, and kidney failure.
Akshay Narayan, Oscar Earle, Yukun Zhou, Axel Petzold, Rimona S. Weil, Alastair K. Denniston, Anthony P. Khawaja, Pearse A. Keane, Zhuoting Zhu, Siegfried K. Wagner   +9 more
wiley   +1 more source

Black hole information turbulence and the Hubble tension. [PDF]

Sci Rep
Cabrera Fernández JL.
europepmc   +1 more source

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

Mathematical 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, Yaya Wang, Hongyin Geng, Wei Gao, Esin Ilhan, Haci Mehmet Baskonus   +5 more
wiley   +1 more source

Incorporating coherent multiple scattering into modelling of small-<i>q</i> scattering data. [PDF]

J Appl Crystallogr
Frielinghaus H.
europepmc   +1 more source

Fractals of iterative procedures

, 2013
Darbā aplūkoti konstruktīvie un dinamiskie fraktāļi. Darba mērķis ir apskatīt šos fraktāļu veidus un to konstruēšanas pamatprincipus. Programmā Wolfram Mathematica uzzīmēti apskatītie fraktāļi.
Danilova, Jūlija
core  

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman, Olivier Jaubert, Mark Wrobel, Tina Yao, Ruaraidh Campbell, Rebecca R Baker, Ruta Virsinskaite, Daniel Knight, Michael Quail, Jennifer A Steeden, Vivek Muthurangu   +10 more
wiley   +1 more source

Fractal hierarchy enables exponential scaling of topological boundary states. [PDF]

Nat Commun
Song L, Hu Z, Wang Z, Bongiovanni D, Tang L, Song D, Morandotti R, Xu J, Buljan H, Chen Z.   +9 more
europepmc   +1 more source

Fractals and art

, 2003
Fractals are mathematically defined objects with self-similar detail on every level of magnification. In the past, scientists have studied their mathematical properties by rendering them on computers.
Waymouth, John F., Conte, Steven J.
core  

Dynamic Analysis of Electrically Assisted Turbocharger Rotor Considering Contact Effects in Nut Structures

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The rotor system of an electrically assisted turbocharger (EAT) is composed of multiple shaft components; The nonlinear connection and contact effects make it difficult to determine the system dynamic characteristics. To improve the modeling accuracy of EAT rotor system and evaluate the influence of contact between multi‐axis components and ...
Wenchao Liang, Shuqian Cao, Xiaolin Cao, Mingyue Hu, Yanhong Kang, Tianyou Wang   +5 more
wiley   +1 more source

From Biological Fractal Dynamics to Analog Fractional‐Order Circuits: A System Design Framework Based on Operatorization Thought

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Fractional calculus, with its unique advantage in describing memory and nonlocal effects, has become a key tool for modeling nonlinear dynamic systems. Its integration with circuit systems has opened up a new paradigm for modern circuit design.
Zhimo Jian, Zheng Li, Gang Peng, Chaoqian Luo, Yajun Yin   +4 more
wiley   +1 more source