Non-linear extended MHD simulations of type-I edge localised mode cycles in ASDEX Upgrade and their underlying triggering mechanism

Liquefaction susceptibility of soil is a complex problem due to non-linear behaviour of soil and its physical attributes. The assessment of liquefaction potential is commonly assessed by the in-situ testing methods. The classification problem of liquefaction is non-linear in nature and difficult to model considering all independent variables (seismic and soil properties) using traditional techniques. In this study, four different classification techniques, namely Fast k-NN (F-kNN), Naïve Bayes Classifier (NBC), Decision Forest Classifier (DFC), and Group Method of Data Handling (GMDH), were used. The SPT-based case record was used to train and validate the models. The performance of these models was assessed using different indexes, namely sensitivity, specificity, type-I error, type-II error, and accuracy rate. Additionally, receiver operating characteristic (ROC) curve were plotted for comparative study. The results show that the F-kNN models perform far better than other models and can be used as a reliable technique for analysis of liquefaction susceptibility of soil.

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Non-isothermal kinetic analysis of the thermal denaturation of type I collagen in solution using isoconversional and multivariate non-linear regression methods

Polymer Degradation and Stability ◽

10.1016/j.polymdegradstab.2010.09.012 ◽

2010 ◽

Vol 95 (12) ◽

pp. 2233-2240 ◽

Cited By ~ 30

Author(s):

Wentao Liu ◽

Guoying Li

Keyword(s):

Linear Regression ◽

Kinetic Analysis ◽

Thermal Denaturation ◽

Type I Collagen ◽

Type I ◽

Regression Methods ◽

Non Linear ◽

Isothermal Kinetic Analysis ◽

Isothermal Kinetic

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Non-linear Rheology Of Collagen Type I Gels Probed On The Length Scale Of A Migrating Cell

Biophysical Journal ◽

10.1016/j.bpj.2008.12.2691 ◽

2009 ◽

Vol 96 (3) ◽

pp. 522a ◽

Cited By ~ 1

Author(s):

Stefan Muenster ◽

Philip Kollmannsberger ◽

Thorsten M. Koch ◽

Louise M. Jawerth ◽

David A. Vader ◽

...

Keyword(s):

Collagen Type ◽

Collagen Type I ◽

Length Scale ◽

Type I ◽

Non Linear

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DeepNull models non-linear covariate effects to improve phenotypic prediction and association power

Nature Communications ◽

10.1038/s41467-021-27930-0 ◽

2022 ◽

Vol 13 (1) ◽

Author(s):

Zachary R. McCaw ◽

Thomas Colthurst ◽

Taedong Yun ◽

Nicholas A. Furlotte ◽

Andrew Carroll ◽

...

Keyword(s):

Statistical Power ◽

Association Studies ◽

Real Data ◽

Interactive Effects ◽

Type I ◽

Genome Wide Association Studies ◽

Linear Modeling ◽

Association Analyses ◽

Covariate Effects ◽

Non Linear

AbstractGenome-wide association studies (GWASs) examine the association between genotype and phenotype while adjusting for a set of covariates. Although the covariates may have non-linear or interactive effects, due to the challenge of specifying the model, GWAS often neglect such terms. Here we introduce DeepNull, a method that identifies and adjusts for non-linear and interactive covariate effects using a deep neural network. In analyses of simulated and real data, we demonstrate that DeepNull maintains tight control of the type I error while increasing statistical power by up to 20% in the presence of non-linear and interactive effects. Moreover, in the absence of such effects, DeepNull incurs no loss of power. When applied to 10 phenotypes from the UK Biobank (n = 370K), DeepNull discovered more hits (+6%) and loci (+7%), on average, than conventional association analyses, many of which are biologically plausible or have previously been reported. Finally, DeepNull improves upon linear modeling for phenotypic prediction (+23% on average).

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Phase noise improvement and noise modeling of type-I ADPLL with non-linear quantization effects

2014 NORCHIP ◽

10.1109/norchip.2014.7004732 ◽

2014 ◽

Author(s):

Jue Shen ◽

Fredrik Jonsson ◽

Jian Chen ◽

Hannu Tenhunen ◽

Lirong Zheng

Keyword(s):

Phase Noise ◽

Type I ◽

Noise Modeling ◽

Non Linear

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Non-linear Rheological Properties of Soy Protein Isolate Dispersions and Acid-Induced Gels

International Journal of Food Engineering ◽

10.1515/ijfe-2016-0167 ◽

2017 ◽

Vol 13 (5) ◽

Cited By ~ 1

Author(s):

Chong-hao Bi ◽

Li-jun Wang ◽

Dong Li ◽

Zhi-gang Huang ◽

Benu Adhikari ◽

...

Keyword(s):

Strain Amplitude ◽

Soy Protein ◽

Soy Protein Isolate ◽

Protein Isolate ◽

Rheological Parameters ◽

Type I ◽

Type Iv ◽

Non Linear ◽

Linear Viscoelastic ◽

Rheological Experiments

Abstract This study presents the non-linear viscoelastic properties of soy protein isolate (SPI) dispersions and acid-induced gels to considerable detail. The storage (G′) and loss (G′′) moduli of SPI dispersions showed Type III (week strain overshoot) and Type IV (strong strain overshoot) networks when the strain amplitudes varied between 0.01 and 1.00 and 1.00 to 100.00, respectively. In the case of acid-induced SPI gels the rheological parameters showed the characteristics of Type I (strain thinning) network. Fourier transform rheological experiments showed that the higher harmonic curves obtained u strain sweep test showed quite different shapes for SPI dispersions and gels. In the case of dispersions, the highest I3/1 (0.101) occurred at the strain amplitude of 0.40 and then decreased to below 0.02. In the case of acid-induced SPI gels, the I3/1 value began to be appreciable at the strain amplitude of 0.1 increased rapidly to its highest value (I3/1=0.05).

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MHD simulations of coronal dark downflows considering thermal conduction

Proceedings of the International Astronomical Union ◽

10.1017/s1743921317000217 ◽

2016 ◽

Vol 12 (S327) ◽

pp. 128-133

Author(s):

E. Zurbriggen ◽

A. Costa ◽

A. Esquivel ◽

M. Schneiter ◽

M. Cécere

Keyword(s):

Thermal Conduction ◽

Surrounding Medium ◽

Large Temperature ◽

Low Density ◽

Important Process ◽

Hot Environment ◽

Mhd Simulations ◽

Linear Waves ◽

Non Linear

AbstractWhile several scenarios have been proposed to explain supra-arcade downflows (SADs) observed descending through turbulent hot regions, none of them have systematically addressed the consideration of thermal conduction. The SADs are known to be voided cavities. Our model assumes that SADs are triggered by bursty localized reconnection events that produce non-linear waves generating the voided cavity. These subdense cavities are sustained in time because they are hotter than their surrounding medium. Due to the low density and large temperature values of the plasma we expect the thermal conduction to be an important process. Our main aim here is to study if it is possible to generate SADs in the framework of our model considering thermal conduction. We carry on 2D MHD simulations including anisotropic thermal conduction, and find that if the magnetic lines envelope the cavities, they can be isolated from the hot environment and be identified as SADs.

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