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Select item 94859971.

Self-supervised neural network improves tri-exponential intravoxel incoherent motion model fitting compared to least-squares fitting in non-alcoholic fatty liver disease

Marian A. Troelstra, Anne-Marieke Van Dijk, Julia J. Witjes, Anne Linde Mak, Diona Zwirs, Jurgen H. Runge, Joanne Verheij, Ulrich H. Beuers, Max Nieuwdorp, Adriaan G. Holleboom, Aart J. Nederveen, Oliver J. Gurney-Champion

Front Physiol. 2022; 13: 942495. Published online 2022 Sep 6. doi: 10.3389/fphys.2022.942495

PMCID:: PMC9485997

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Revisiting Chernoff Information with Likelihood Ratio Exponential Families

Frank Nielsen

Entropy (Basel) 2022 Oct; 24(10): 1400. Published online 2022 Oct 1. doi: 10.3390/e24101400

PMCID:: PMC9601539

Abstract Article PDF–988K

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Fundamental Principles in Bacterial Physiology - History, Recent progress, and the Future with Focus on Cell Size Control: A Review

Suckjoon Jun, Fangwei Si, Rami Pugatch, Matthew Scott

Rep Prog Phys. Author manuscript; available in PMC 2019 May 1.

Published in final edited form as: Rep Prog Phys. 2018 May; 81(5): 056601. Published online 2018 Jan 9. doi: 10.1088/1361-6633/aaa628

PMCID:: PMC5897229

Abstract Article PDF–7.2M

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Sarcopenia: Aging-Related Loss of Muscle Mass and Function

Lars Larsson, Hans Degens, Meishan Li, Leonardo Salviati, Young il Lee, Wesley Thompson, James L. Kirkland, Marco Sandri

Physiol Rev. 2019 Jan 1; 99(1): 427–511. Published online 2018 Nov 14. doi: 10.1152/physrev.00061.2017

PMCID:: PMC6442923

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Divergences Induced by the Cumulant and Partition Functions of Exponential Families and Their Deformations Induced by Comparative Convexity

Frank Nielsen

Entropy (Basel) 2024 Mar; 26(3): 193. Published online 2024 Feb 23. doi: 10.3390/e26030193

PMCID:: PMC10968918

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Evidence of Tri-Exponential Decay for Liver Intravoxel Incoherent Motion MRI: A Review of Published Results and Limitations

Olivier Chevallier, Yì Xiáng J. Wáng, Kévin Guillen, Julie Pellegrinelli, Jean-Pierre Cercueil, Romaric Loffroy

Diagnostics (Basel) 2021 Feb; 11(2): 379. Published online 2021 Feb 23. doi: 10.3390/diagnostics11020379

PMCID:: PMC7926368

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Statistical Divergences between Densities of Truncated Exponential Families with Nested Supports: Duo Bregman and Duo Jensen Divergences

Frank Nielsen

Entropy (Basel) 2022 Mar; 24(3): 421. Published online 2022 Mar 17. doi: 10.3390/e24030421

PMCID:: PMC8947456

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Quantification reveals early dynamics in Drosophila maternal gradients

Alex Shlemov, Theodore Alexandrov, Nina Golyandina, David Holloway, Stefan Baumgartner, Alexander V. Spirov

PLoS One. 2021; 16(8): e0244701. Published online 2021 Aug 19. doi: 10.1371/journal.pone.0244701

PMCID:: PMC8376041

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Optimization of spin-lock times for T_1ρ mapping of human knee cartilage with bi- and stretched-exponential models

Hector L. de Moura, Rajiv G. Menon, Marcelo V. W. Zibetti, Ravinder R. Regatte

Sci Rep. 2022; 12: 16829. Published online 2022 Oct 7. doi: 10.1038/s41598-022-21269-2

PMCID:: PMC9546896

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Local Regulator AcrR Regulates Persister Formation by Repression of AcrAB Efflux Pump during Exponential Growth in Aeromonas veronii

Xiang Ma, Kang Hu, Yuesheng Xiong, Hong Li, Juanjuan Li, Yanqiong Tang, Zhu Liu

Antimicrob Agents Chemother. 2023 Mar; 67(3): e00969-22. Published online 2023 Feb 28. doi: 10.1128/aac.00969-22

PMCID:: PMC10019292

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Exponential concentration in quantum kernel methods

Supanut Thanasilp, Samson Wang, M. Cerezo, Zoë Holmes

Nat Commun. 2024; 15: 5200. Published online 2024 Jun 18. doi: 10.1038/s41467-024-49287-w

PMCID:: PMC11189509

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Establishment of quadratic exponential quality gain-loss function model and design of process mean

Bo Wang, Qikai Li, Qi Yang, Zihan Chen, Xiangtian Nie

Heliyon. 2024 Aug 30; 10(16): e36481. Published online 2024 Aug 17. doi: 10.1016/j.heliyon.2024.e36481

PMCID:: PMC11382081

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The improved integrated Exponential Smoothing based CNN-LSTM algorithm to forecast the day ahead electricity price

Kunal Shejul, R. Harikrishnan, Harshita Gupta

MethodsX. 2024 Dec; 13: 102923. Published online 2024 Aug 20. doi: 10.1016/j.mex.2024.102923

PMCID:: PMC11387362

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Transition from exponential to linear photoautotrophic growth changes the physiology of Synechocystis sp. PCC 6803

R. M. Schuurmans, J. C. P. Matthijs, K. J. Hellingwerf

Photosynth Res. 2017; 132(1): 69–82. Published online 2017 Jan 20. doi: 10.1007/s11120-016-0329-8

PMCID:: PMC5357262

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The Concentration of Soluble Extracellular Amyloid-β Protein in Acute Brain Slices from CRND8 Mice

Jack Waters

PLoS One. 2010; 5(12): e15709. Published online 2010 Dec 29. doi: 10.1371/journal.pone.0015709

PMCID:: PMC3012091

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Carriers, exchangers, and cotransporters in the first 100 years of the Journal of General Physiology

Michael L. Jennings

J Gen Physiol. 2018 Aug 6; 150(8): 1063–1080. doi: 10.1085/jgp.201812078

PMCID:: PMC6080889

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Improving representations of genomic sequence motifs in convolutional networks with exponential activations

Peter K. Koo, Matt Ploenzke

Nat Mach Intell. Author manuscript; available in PMC 2021 Jul 27.

Published in final edited form as: Nat Mach Intell. 2021 Mar; 3(3): 258–266. Published online 2021 Feb 8. doi: 10.1038/s42256-020-00291-x

PMCID:: PMC8315445

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Exponential Families with External Parameters

Marco Favretti

Entropy (Basel) 2022 May; 24(5): 698. Published online 2022 May 14. doi: 10.3390/e24050698

PMCID:: PMC9142008

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Pilot study quantifying muscle glycosaminoglycan using bi-exponential T_1ρ mapping in patients with muscle stiffness after stroke

Rajiv G. Menon, Preeti Raghavan, Ravinder R. Regatte

Sci Rep. 2021; 11: 13951. Published online 2021 Jul 6. doi: 10.1038/s41598-021-93304-7

PMCID:: PMC8260636

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Supply forecasting and profiling of urban supermarket chains based on tensor quantization exponential regression for social governance

Dazhou Li, Bo Zhou, Chuan Lin, Jian Gao, Wei Gao, Aimin Gao

PeerJ Comput Sci. 2022; 8: e1138. Published online 2022 Nov 7. doi: 10.7717/peerj-cs.1138

PMCID:: PMC9680888

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PMC Images search for Exponential loss function

Figure 4

The convergence of the Deep Reward Network evaluation. The loss functions of the training data and validation data for f₁–f₆ are provided in (A-F). (A) Training and validation loss for Fourier function. (B,C) Training and validation loss for Exponential function. (D) Training and validation loss for Relaxation function. (E) Training and validation loss for Creep function. (F) Training and validation loss for Harmonic equation function.

Deep Q-learning to globally optimize a k-D parameter search for medical imaging

Quant Imaging Med Surg. 2023 Aug 1;13(8):4879-4896.
Fig. 2.

Exponential model investigating gene loss as a function of substitution accumulation. (A) Exponential model of gene loss and observed number of gene loss in Blattabacterium genomes. The model includes two gene-specific loss parameters: an initial gene loss rate µ₀ and an exponential time scale τ. (B) Relationship between µ₀ and τ for all genes in the data set. (C) Simplified phylogenetic tree of Blattabacterium. Branch colors correspond to symbol colors in (A).

Enhanced Mutation Rate, Relaxed Selection, and the “Domino Effect” are associated with Gene Loss in Blattabacterium, A Cockroach Endosymbiont

Mol Biol Evol. 2021 Sep;38(9):3820-3831.
Figure 8Weight loss ratio as a function of the echo intensity obtained from B-scan imaging.

The weight loss ratio of a thrombus exponentially decreased from 0.7 to 0.3 as the intensity increased. The correlation coefficient obtained using the exponential decay function between the weight loss ratio and echo intensity was 0.68.

Evaluation of thrombolysis by using ultrasonic imaging: an in vitro study

Sci Rep. 2015;5:11669.
Figure 7

(A) ARscore plots of three models on DVSOT21, ranked the SCTN with exponential IoU in the loss function, the SCTN with linear IoU in the loss function and the SCTN with basic loss function in descending order of performance. (B) The feedback of positive training samples with three models.

SCTN: Event-based object tracking with energy-efficient deep convolutional spiking neural networks

Front Neurosci. 2023;17:1123698.