Results 111 to 120 of about 573,156 (305)

Scaling exponent β as a function of minimum density cut-off for selected variables.

, 2018
Each line represents the scaling exponent (y-axis) from OLS regressions of the log-transformed data of each variable as a function of the minimum density cut-off (x-axis). A: Infrastructural Variables; B: Basic Individual Services.
Joao Meirelles (5819228), Claudia Rebeca Binder (5819237), Fernando Fagundes Ferreira (5819231), Fabiano Lemes Ribeiro (5819234), Camilo Rodrigues Neto (3776869)   +4 more
core   +1 more source

Scaling Exponent Determined by a Bio-Signal Computation for the Healthy and Diseased Heartbeat [PDF]

Journal of Systemics, Cybernetics and Informatics, 2009
We analyzed heartbeat-intervals by using our own program of detrended fluctuation analysis (DFA). "Alternans" is an arrhythmia exhibiting alternating amplitude or alternating interval from heartbeat to heartbeat, which was first described in 1872 by ...
Toru Yazawa, Katsunori Tanaka, Atsushi Kato, Tomoo Katsuyama   +3 more
doaj  

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Rescaled Range Analysis and Detrended Fluctuation Analysis: Finite Sample Properties and Confidence Intervals [PDF]

We focus on finite sample properties of two mostly used methods of Hurst exponent H estimation—rescaled range analysis (R/S) and detrended fluctuation analysis (DFA).
Ladislav Krištoufek
core  

A correction-to-scaling critical exponent for fluids at order ε3

, 1982
The critical exponent omega 5, which is a correction to scaling absent in the Ising model, corresponding to insertions of the operator phi 5 in a phi 4 theory near four dimensions, is calculated to third order in 4D ...
Zhang, FC, Zia, RKP, F C Zhang, R K P Zia   +3 more
core   +1 more source

Detrended Fluctuation, Coherence, and Spectral Power Analysis of Activation Rearrangement in EEG Dynamics During Cognitive Workload

Frontiers in Human Neuroscience, 2019
In the study of human cognitive activity using electroencephalogram (EEG), the brain dynamics parameters and characteristics play a crucial role. They allow to investigate the changes in functionality depending on the environment and task performance ...
Ivan Seleznov, Igor Zyma, Ken Kiyono, Sergii Tukaev, Sergii Tukaev, Sergii Tukaev, Anton Popov, Anton Popov, Mariia Chernykh, Oleksii Shpenkov   +9 more
doaj   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Estimated scaling exponent of Eq. 2 by EEMT.

, 2016
Least-squares regression by EEMT (MJ m-2 yr-1) [on the x-axis] versus the estimated scaling exponent ± 95% ci for diameter to height proportionality [Eq. 3, on the y-axis] (vertical black lines).
Tyson L. Swetnam (3155973), Christopher D. O’Connor (3155970), Ann M. Lynch (3155976)   +2 more
core   +1 more source

Microstructure Modification of Additively Manufactured Mo–9Si–8B by Annealing and Its Effects on High‐Temperature Mechanical Properties

Advanced Engineering Materials, EarlyView.
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt, Yong Chen, Georg Hasemann, Benjamin Wahlmann, Carolin Körner, Manja Krüger   +5 more
wiley   +1 more source