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Articoli di riviste sul tema "Extrinsic noise"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 14 marzo 2023

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1

Sun, Mengyi, and Jianzhi Zhang. "Allele-specific single-cell RNA sequencing reveals different architectures of intrinsic and extrinsic gene expression noises." Nucleic Acids Research 48, no. 2 (December 4, 2019): 533–47. http://dx.doi.org/10.1093/nar/gkz1134.

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Abstract Gene expression noise refers to the variation of the expression level of a gene among isogenic cells in the same environment, and has two sources: extrinsic noise arising from the disparity of the cell state and intrinsic noise arising from the stochastic process of gene expression in the same cell state. Due to the low throughput of the existing method for measuring the two noise components, the architectures of intrinsic and extrinsic expression noises remain elusive. Using allele-specific single-cell RNA sequencing, we here estimate the two noise components of 3975 genes in mouse f

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2

VÁZQUEZ-JIMÉNEZ, AARÓN, MOISÉS SANTILLÁN, and JESÚS RODRÍGUEZ-GONZÁLEZ. "CHARACTERIZATION OF INTRINSIC AND EXTRINSIC NOISE EFFECTS IN POSITIVELY REGULATED GENES." Journal of Biological Systems 27, no. 03 (September 2019): 383–98. http://dx.doi.org/10.1142/s0218339019500165.

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Gene regulation is fundamental for cell survival. This regulation must be both robust to noise and sensitive enough to external stimuli to elicit the proper responses. In this work, we study, through stochastic numerical simulations, how a gene regulatory network with a positive feedback loop responds to environmental changes in the presence of intrinsic and extrinsic noises. Noise effects were characterized by measuring the statistical differences between two protein time series resulting from identical systems subject to the same source of extrinsic noise. A robust analysis was implemented b

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3

XIE, ZHI, and DON KULASIRI. "ON EXPLORING EFFECTS OF MOLECULAR NOISE IN A SIMPLE VIRAL INFECTION MODEL." International Journal of Biomathematics 03, no. 01 (March 2010): 1–19. http://dx.doi.org/10.1142/s1793524510000891.

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Intrinsic and extrinsic noises are all believed to be important in the development and function of many living organisms. In this study, we investigate the sources of the intrinsic noise and the influence of the extrinsic noise on an intracellular viral infection system. The contribution of the intrinsic noise from each reaction is measured by means of a special form of stochastic differential equations (SDEs), chemical Langevin equation. The intrinsic noise of the system is a linear sum of the noise in each of the reactions. The intrinsic noise mainly arises from the degradation of mRNA and t

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4

Liu, Shengjun, Qi Wang, and Hai Feng. "The correlation between intrinsic noise and extrinsic noise." Physica A: Statistical Mechanics and its Applications 392, no. 20 (October 2013): 5138–42. http://dx.doi.org/10.1016/j.physa.2013.06.032.

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5

Justman, Quincey A. "An Explicit Source for Extrinsic Noise." Cell Systems 1, no. 5 (November 2015): 308–9. http://dx.doi.org/10.1016/j.cels.2015.11.003.

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6

Zeng, Chunhua, Tao Yang, Qinglin Han, Chun Zhang, Dong Tian, and Hua Wang. "Noises-induced toggle switch and stability in a gene regulation network." International Journal of Modern Physics B 28, no. 31 (December 8, 2014): 1450223. http://dx.doi.org/10.1142/s0217979214502233.

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It is well-known that noises are inevitable in gene regulatory networks due to the low-copy numbers of molecules and environmental fluctuations. In this paper, we investigate the stationary probability distribution (SPD) between both low (OFF state) and high (ON state) protein levels and mean first passage time (MFPT) in an abstract model of the Myc/E2F/miR-17-92 network presented by Aguda et al., PNAS 105, 19678 (2008), where the gene expression is assumed to be disturbed simultaneously by intrinsic and extrinsic noises that were correlated. Our results show that (i) the OFF state is enhanced

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7

Hughes, B. "A temperature noise model for extrinsic FETs." IEEE Transactions on Microwave Theory and Techniques 40, no. 9 (1992): 1821–32. http://dx.doi.org/10.1109/22.156610.

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8

Gupta, M. S., and P. T. Greiling. "Microwave noise characterization of GaAs MESFET's: determination of extrinsic noise parameters." IEEE Transactions on Microwave Theory and Techniques 36, no. 4 (April 1988): 745–51. http://dx.doi.org/10.1109/22.3580.

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9

Thomas, Philipp, and Vahid Shahrezaei. "Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations." Journal of The Royal Society Interface 18, no. 178 (May 2021): 20210274. http://dx.doi.org/10.1098/rsif.2021.0274.

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The chemical master equation and the Gillespie algorithm are widely used to model the reaction kinetics inside living cells. It is thereby assumed that cell growth and division can be modelled through effective dilution reactions and extrinsic noise sources. We here re-examine these paradigms through developing an analytical agent-based framework of growing and dividing cells accompanied by an exact simulation algorithm, which allows us to quantify the dynamics of virtually any intracellular reaction network affected by stochastic cell size control and division noise. We find that the solution

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10

GRÜNEIS, FERDINAND. "1/f NOISE IN EXTRINSIC SEMICONDUCTOR MATERIALS INTERPRETED AS MODULATED GENERATION-RECOMBINATION NOISE." Fluctuation and Noise Letters 09, no. 02 (June 2010): 229–43. http://dx.doi.org/10.1142/s0219477510000137.

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We investigate fixed dopants in the presence of mobile point defects. A defect entering the first Bohr radius RB of a dopant will modulate the generation-recombination (g-r) process. The times a defect walks inside and outside of RB are found to be power-law distributed; correspondingly, the modulated g-r process exhibits 1/fb noise. The predicted Hooge coefficient depends on RB, on the normalized fluctuations of charge carriers, the number of lattice sites and on the modulation depth of the g-r process.

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11

Johnston, Iain G., Bernadett Gaal, Ricardo Pires das Neves, Tariq Enver, Francisco J. Iborra, and Nick S. Jones. "Mitochondrial Variability as a Source of Extrinsic Cellular Noise." PLoS Computational Biology 8, no. 3 (March 8, 2012): e1002416. http://dx.doi.org/10.1371/journal.pcbi.1002416.

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12

Reppas, Andreas I., Georgios Lolas, Andreas Deutsch, and Haralampos Hatzikirou. "The Extrinsic Noise Effect on Lateral Inhibition Differentiation Waves." ACM Transactions on Modeling and Computer Simulation 26, no. 3 (January 29, 2016): 1–18. http://dx.doi.org/10.1145/2832908.

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13

LONG, S., L. ESCOTTE, J. GRAFFEUIL, P. FELLON, D. GEIGER, and D. PONS. "HIGH-FREQUENCY NOISE IN PSEUDOMORPHIC DOUBLE-HETEROJUNCTION HIGH ELECTRON MOBILITY TRANSISTORS." Fluctuation and Noise Letters 02, no. 01 (March 2002): L13—L19. http://dx.doi.org/10.1142/s0219477502000531.

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The noise behavior of pseudomorphic double-heterojunction high electron mobility transistors dedicated to power applications is investigated in this paper and compared to conventional low noise field effect transistors. The noise is analyzed from an extrinsic and an intrinsic point of view. It appears that the minimum noise figure is similar for the two devices even if the intrinsic noise sources are different. We explain this phenomenon using the double-heterojunction mode of operation.

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14

Wang, Haohua, Zhanjiang Yuan, Peijiang Liu, and Tianshou Zhou. "Division time-based amplifiers for stochastic gene expression." Molecular BioSystems 11, no. 9 (2015): 2417–28. http://dx.doi.org/10.1039/c5mb00391a.

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While cell-to-cell variability is a phenotypic consequence of gene expression noise, sources of this noise may be complex – apart from intrinsic sources such as the random birth/death of mRNA and stochastic switching between promoter states, there are also extrinsic sources of noise such as cell division where division times are either constant or random.

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15

Stamatakis, Michail, Rhys M. Adams, and Gábor Balázsi. "A common repressor pool results in indeterminacy of extrinsic noise." Chaos: An Interdisciplinary Journal of Nonlinear Science 21, no. 4 (December 2011): 047523. http://dx.doi.org/10.1063/1.3658618.

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16

Bressloff, Paul C., and Yi Lai. "Stochastic synchronization of neuronal populations with intrinsic and extrinsic noise." Journal of Mathematical Neuroscience 1, no. 1 (2011): 2. http://dx.doi.org/10.1186/2190-8567-1-2.

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17

Roberts, Elijah, and Michael Assaf. "Extrinsic Noise Enhances Switching in Models of Cellular Decision Making." Biophysical Journal 104, no. 2 (January 2013): 160a. http://dx.doi.org/10.1016/j.bpj.2012.11.900.

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18

Vázquez-Jiménez, Aarón, Moisés Santillán, and Jesús Rodríguez-González. "How the extrinsic noise in gene expression can be controlled?" IFAC-PapersOnLine 50, no. 1 (July 2017): 15092–96. http://dx.doi.org/10.1016/j.ifacol.2017.08.2236.

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19

Assaf, Michael, Elijah Roberts, Zaida Luthey-Schulten, and Nigel Goldenfeld. "Extrinsic Noise Driven Phenotype Switching in a Self-Regulating Gene." Biophysical Journal 106, no. 2 (January 2014): 374a—375a. http://dx.doi.org/10.1016/j.bpj.2013.11.2119.

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20

Marshall, Wallace. "Intrinsic and Extrinsic Noise in the Flagellar Length Control System." Biophysical Journal 106, no. 2 (January 2014): 637a. http://dx.doi.org/10.1016/j.bpj.2013.11.3527.

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21

Hasegawa, Yoshihiko, and Masanori Arita. "Fluctuating noise drives Brownian transport." Journal of The Royal Society Interface 9, no. 77 (September 12, 2012): 3554–63. http://dx.doi.org/10.1098/rsif.2012.0603.

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The transport properties of Brownian ratchet were studied in the presence of stochastic intensity noise in both overdamped and underdamped regimes. In the overdamped case, an analytical solution using the matrix-continued fraction method revealed the existence of a maximum current when the noise intensity fluctuates on intermediate timescale regions. Similar effects were observed for the underdamped case by Monte Carlo simulations. The optimal time-correlation for Brownian transport coincided with the experimentally observed time-correlation of the extrinsic noise in Escherichia coli gene expr

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22

Deloupy, A., V. Sauveplane, J. Robert, S. Aymerich, M. Jules, and L. Robert. "Extrinsic noise prevents the independent tuning of gene expression noise and protein mean abundance in bacteria." Science Advances 6, no. 41 (October 2020): eabc3478. http://dx.doi.org/10.1126/sciadv.abc3478.

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It is generally accepted that prokaryotes can tune gene expression noise independently of protein mean abundance by varying the relative levels of transcription and translation. Here, we address this question quantitatively, using a custom-made library of 40 Bacillus subtilis strains expressing a fluorescent protein under the control of different transcription and translation control elements. We quantify noise and mean protein abundance by fluorescence microscopy and show that for most of the natural transcription range of B. subtilis, expression noise is equally sensitive to variations in th

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23

Persson, Sebastian, Niek Welkenhuysen, Sviatlana Shashkova, Samuel Wiqvist, Patrick Reith, Gregor W. Schmidt, Umberto Picchini, and Marija Cvijovic. "Scalable and flexible inference framework for stochastic dynamic single-cell models." PLOS Computational Biology 18, no. 5 (May 19, 2022): e1010082. http://dx.doi.org/10.1371/journal.pcbi.1010082.

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Understanding the inherited nature of how biological processes dynamically change over time and exhibit intra- and inter-individual variability, due to the different responses to environmental stimuli and when interacting with other processes, has been a major focus of systems biology. The rise of single-cell fluorescent microscopy has enabled the study of those phenomena. The analysis of single-cell data with mechanistic models offers an invaluable tool to describe dynamic cellular processes and to rationalise cell-to-cell variability within the population. However, extracting mechanistic inf

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24

CHENG, YUHUA. "MOSFET MODELING FOR RF IC DESIGN." International Journal of High Speed Electronics and Systems 11, no. 04 (December 2001): 1007–84. http://dx.doi.org/10.1142/s0129156401001052.

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High frequency (HF) AC and noise modeling of MOSFETs for radio frequency (RF) integrated circuit (IC) design is discussed. Equivalent circuits representing both intrinsic and extrinsic components in a MOSFET are analyzed to obtain a physics-based RF model. Modeling of the intrinsic device and the extrinsic components is disussed by accounting for the important physical effects at both DC and HF. Based on the Y-parameter analysis of the equivalent circuit model, procedures of the HF model parameter extraction are also developed. With the discussed approaches, a sub-circuit RF model incorporatin

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25

MacLaurin, James N., and Pedro A. Vilanova. "Synchronization in Stochastic Biochemical Oscillators Subject to Common Multiplicative Extrinsic Noise." SIAM Journal on Applied Dynamical Systems 20, no. 3 (January 2021): 1253–76. http://dx.doi.org/10.1137/20m1332402.

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26

Samel, Alexander, and Mathias Basner. "Extrinsische Schlafstorungen und Larmwirkungen. Extrinsic Sleep Disorders and Effects of Noise." Somnologie 9, no. 2 (May 2005): 58–67. http://dx.doi.org/10.1111/j.1439-054x.2005.00049.x.

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27

Pischel, Dennis, Kai Sundmacher, and Robert J. Flassig. "Efficient simulation of intrinsic, extrinsic and external noise in biochemical systems." Bioinformatics 34, no. 16 (April 3, 2018): 2880. http://dx.doi.org/10.1093/bioinformatics/bty171.

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28

Dixit, Purushottam D. "Quantifying Extrinsic Noise in Gene Expression Using the Maximum Entropy Framework." Biophysical Journal 104, no. 12 (June 2013): 2743–50. http://dx.doi.org/10.1016/j.bpj.2013.05.010.

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Pischel, Dennis, Kai Sundmacher, and Robert J. Flassig. "Efficient simulation of intrinsic, extrinsic and external noise in biochemical systems." Bioinformatics 33, no. 14 (July 12, 2017): i319—i324. http://dx.doi.org/10.1093/bioinformatics/btx253.

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30

Rudge, Tim, and Kevin Burrage. "Effects of Intrinsic and Extrinsic Noise Can Accelerate Juxtacrine Pattern Formation." Bulletin of Mathematical Biology 70, no. 4 (March 13, 2008): 971–91. http://dx.doi.org/10.1007/s11538-007-9286-x.

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31

Lin, Hung-Yu. "The Effects of White Noise on Attentional Performance and On-Task Behaviors in Preschoolers with ADHD." International Journal of Environmental Research and Public Health 19, no. 22 (November 21, 2022): 15391. http://dx.doi.org/10.3390/ijerph192215391.

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Several models have tentatively associated improving attention-deficit/hyperactivity disorder (ADHD) symptoms with arousal and external environmental stimulation. In order to further clarify the relationships between ADHD symptoms, arousal, and external stimulation, this study focused on exploring the “simultaneous” effects of white noise on intrinsic attentional performance and extrinsic on-task behaviors in preschoolers with and without ADHD. By using the computerized task (K-CPT 2), 104 preschoolers, including 52 ADHD children and 52 typically developing (TD) children, were tested and analy

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32

Babochkina, Tatyana Ivanovna, Ludmila Alekseevna Gerlinskaya, Margarita Vladimirovna Anisimova, Galina Vladimirovna Kontsevaya, Natalia Aleksandrovna Feofanova, Aliya Konstantinovna Stanova, Mikhail Pavlovich Moshkin, and Yuri Mikhailovich Moshkin. "Mother–Fetus Immune Cross-Talk Coordinates “Extrinsic”/“Intrinsic” Embryo Gene Expression Noise and Growth Stability." International Journal of Molecular Sciences 23, no. 20 (October 18, 2022): 12467. http://dx.doi.org/10.3390/ijms232012467.

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Developmental instability (DI) is thought to be inversely related to a capacity of an organism to buffer its development against random genetic and environmental perturbations. DI is represented by a trait’s inter- and intra-individual variabilities. The inter-individual variability (inversely referred to as canalization) indicates the capability of organisms to reproduce a trait from individual to individual. The intra-individual variability reflects an organism’s capability to stabilize a trait internally under the same conditions, and, for symmetric traits, it is expressed as fluctuating as

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33

Giesel, Eileen Sophie, Basundhara Ghosh, and Björn Malte Schäfer. "Intrinsic and extrinsic gravitational flexions." Monthly Notices of the Royal Astronomical Society 510, no. 2 (December 17, 2021): 2773–89. http://dx.doi.org/10.1093/mnras/stab3680.

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ABSTRACT The topic of this paper is a generalization of the linear model for intrinsic alignments of galaxies to intrinsic flexions: In this model, third moments of the brightness distribution reflect distortions of elliptical galaxies caused by third derivatives of the gravitational potential, or, equivalently, gradients of the tidal gravitational fields. With this extension of the linear model mediating between the brightness distribution and the tidal gravitational fields and with a quantification of the shape of the galaxy at third order provided by the HOLICs-formalism, we are able to com

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34

Ahmad, Norhawati, S. S. Jamuar, M. Mohammad Isa, Siti Salwa Mat Isa, Muhammad Mahyiddin Ramli, N. Khalid, N. I. M. Nor, Shahrir Rizal Kasjoo, Sohiful Anuar Zainol Murad, and M. Missous. "Extrinsic and Intrinsic Modeling of InGaAs/InAlAs pHEMT for Wireless Applications." Applied Mechanics and Materials 815 (November 2015): 369–73. http://dx.doi.org/10.4028/www.scientific.net/amm.815.369.

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This paper presents the linear modelling of high breakdown InP pseudomorphic High Electron Mobility Transistors (pHEMT) that have been developed and fabricated at the University of Manchester (UoM) for low noise applications mainly for the Square Kilometre Array (SKA) project. The ultra-low leakage properties of a novel InGaAs/InAlAs/InP pHEMTs structure were used to fabricate a series of transistor with total gate width ranging from 0.2 mm to 1.2 mm. The measured DC and S-Parameters data from the fabricated devices were then used for the transistors’ modelling. The transistors demonstrated to

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35

Haffane, Ahmed, Abdelhafid Hasni, Mustapha Khelifi, and Boufeldja Kadri. "Convergence analysis of the unpunctured turbo trellis-coded modulation (UTTCM)." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (February 1, 2019): 447. http://dx.doi.org/10.11591/ijeecs.v13.i2.pp447-452.

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In this paper, the performance of the Unpunctured Turbo Trellis-Coded Modulation (UTTCM) over Additive White Gaussian Noise (AWGN) channel is analyzed using the non-binary extrinsic information transfer (EXIT) chart. The exchange of the extrinsic information between the decoder components is tracked, allowing the generation of an EXIT chart, which is a powerful tool for analyzing the convergence behavior of iterative decoding and prediction of convergence position. The Simulation results are compared with the turbo cliff positions on the BER curves.

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Gardès, Cyrille, Sonia Bagumako, Ludovic Desplanque, Nicolas Wichmann, Sylvain Bollaert, François Danneville, Xavier Wallart, and Yannick Roelens. "100 nm AlSb/InAs HEMT for Ultra-Low-Power Consumption, Low-Noise Applications." Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/136340.

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We report on high frequency (HF) and noise performances of AlSb/InAs high electron mobility transistor (HEMT) with 100 nm gate length at room temperature in low-power regime. Extrinsic cut-off frequenciesfT/fmaxof 100/125 GHz together with minimum noise figureNFmin=0.5 dB and associated gainGass=12 dB at 12 GHz have been obtained at drain bias of only 80 mV, corresponding to 4 mW/mm DC power dissipation. This demonstrates the great ability of AlSb/InAs HEMT for high-frequency operation combined with low-noise performances in ultra-low-power regime.

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Engl, Christoph. "Noise in bacterial gene expression." Biochemical Society Transactions 47, no. 1 (December 21, 2018): 209–17. http://dx.doi.org/10.1042/bst20180500.

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AbstractThe expression level of a gene can fluctuate significantly between individuals within a population of genetically identical cells. The resultant phenotypic heterogeneity could be exploited by bacteria to adapt to changing environmental conditions. Noise is hence a genome-wide phenomenon that arises from the stochastic nature of the biochemical reactions that take place during gene expression and the relatively low abundance of the molecules involved. The production of mRNA and proteins therefore occurs in bursts, with alternating episodes of high and low activity during transcription a

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Berthelot, A., C. Voisin, C. Delalande, Ph Roussignol, R. Ferreira, and G. Cassabois. "From Random Telegraph to Gaussian Stochastic Noises: Decoherence and Spectral Diffusion in a Semiconductor Quantum Dot." Advances in Mathematical Physics 2010 (2010): 1–13. http://dx.doi.org/10.1155/2010/494738.

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We present a general theoretical description of the extrinsic dephasing mechanism of spectral diffusion that dominates the decoherence dynamics in semiconductor quantum dots at low temperature. We discuss the limits of random telegraph and Gaussian stochastic noises and show that the combination of both approaches in the framework of the pre-Gaussian noise theory allows a quantitative interpretation of high-resolution experiments in single semiconductor quantum dots. We emphasize the generality and the versatility of our model where the inclusion of asymmetric jump processes appears as an esse

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Aston, Stacey, Cat Pattie, Ulrik Beierholm, and Marko Nardini. "Failure to account for extrinsic visual noise leads to suboptimal multisensory integration." Journal of Vision 20, no. 11 (October 20, 2020): 880. http://dx.doi.org/10.1167/jov.20.11.880.

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Del Giudice, Marco, Stefano Bo, Silvia Grigolon, and Carla Bosia. "On the role of extrinsic noise in microRNA-mediated bimodal gene expression." PLOS Computational Biology 14, no. 4 (April 17, 2018): e1006063. http://dx.doi.org/10.1371/journal.pcbi.1006063.

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Scott, Matthew, Brian Ingalls, and Mads Kærn. "Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks." Chaos: An Interdisciplinary Journal of Nonlinear Science 16, no. 2 (June 2006): 026107. http://dx.doi.org/10.1063/1.2211787.

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Bravi, Barbara, Katy J. Rubin, and Peter Sollich. "Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks." Journal of Chemical Physics 153, no. 2 (July 14, 2020): 025101. http://dx.doi.org/10.1063/5.0008304.

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Rubin, Katy J., Katherine Lawler, Peter Sollich, and Tony Ng. "Memory effects in biochemical networks as the natural counterpart of extrinsic noise." Journal of Theoretical Biology 357 (September 2014): 245–67. http://dx.doi.org/10.1016/j.jtbi.2014.06.002.

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Baudrimont, Antoine, Vincent Jaquet, Sandrine Wallerich, Sylvia Voegeli, and Attila Becskei. "Contribution of RNA Degradation to Intrinsic and Extrinsic Noise in Gene Expression." Cell Reports 26, no. 13 (March 2019): 3752–61. http://dx.doi.org/10.1016/j.celrep.2019.03.001.

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Mc Mahon, Siobhan S., Oleg Lenive, Sarah Filippi, and Michael P. H. Stumpf. "Information processing by simple molecular motifs and susceptibility to noise." Journal of The Royal Society Interface 12, no. 110 (September 2015): 20150597. http://dx.doi.org/10.1098/rsif.2015.0597.

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Biological organisms rely on their ability to sense and respond appropriately to their environment. The molecular mechanisms that facilitate these essential processes are however subject to a range of random effects and stochastic processes, which jointly affect the reliability of information transmission between receptors and, for example, the physiological downstream response. Information is mathematically defined in terms of the entropy; and the extent of information flowing across an information channel or signalling system is typically measured by the ‘mutual information’, or the reductio

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Zhang, Jing Xi. "Optimization of LDPC Codes by Extrinsic Information Transfer Chart." Applied Mechanics and Materials 427-429 (September 2013): 1518–23. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1518.

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The optimization of degree profiles of low-density parity-check (LDPC) code in additive white Gaussian noise (AWGN) multiple access channel (MAC) by fitting the transfer characteristics of variable nodes detector (VND) and that of check nodes detector (CND) is discussed. Extrinsic information transfer (EXIT) characteristics are used for determining the degree profiles based on curve fitting. The convergence the optimized LDPC code is ensured by the EXIT characteristics of VND and CND. Degree profiles are obtained and check matrix is constructed. Simulation results show that the method is varia

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GRÜNEIS, FERDINAND. "1/f NOISE DUE TO ATOMIC DIFFUSION OF IMPURITY CENTERS IN SEMICONDUCTORS." Fluctuation and Noise Letters 01, no. 04 (December 2001): L197—L220. http://dx.doi.org/10.1142/s0219477501000433.

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Atomic diffusion of impurity centers is investigated as a possible origin of 1/f noise in semiconductors. Following the trace of an individual impurity center, the noise produced at a certain site is calculated; due to diffusion of centers this is an intermittent process. Besides generation-recombination (= g-r) noise, an excess noise is obtained which is attributed to diffusion of impurity centers. This excess noise exhibits 1/f noise and g-r burst noise. 1/f noise is attributed to the return time of a center to the origin; g-r burst noise is the noise produced by centers residing at a certai

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Lu, Lance, Thomas Kurfess, and Christopher Saldana. "Effects of Extrinsic Noise Factors on Machine Learning–Based Chatter Detection in Machining." Smart and Sustainable Manufacturing Systems 5, no. 1 (August 13, 2021): 20210007. http://dx.doi.org/10.1520/ssms20210007.

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49

Aston, Stacey, Reeve Molly, Yip Esther, Nardini Marko, and Beierholm Ulrik. "Failure to account for extrinsic noise when integrating visual cues and prior information." Journal of Vision 21, no. 9 (September 27, 2021): 2278. http://dx.doi.org/10.1167/jov.21.9.2278.

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50

Fisher, N. E., and D. A. Jackson. "A common-mode optical noise-rejection scheme for an extrinsic Faraday current sensor." Measurement Science and Technology 7, no. 5 (May 1, 1996): 796–800. http://dx.doi.org/10.1088/0957-0233/7/5/012.

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