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Journal articles on the topic 'Time-dependent rates'

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Published: 10 December 2022

Last updated: 28 January 2023

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1

HO, SIMON Y. W., ROBERT LANFEAR, LINDELL BROMHAM, MATTHEW J. PHILLIPS, JULIEN SOUBRIER, ALLEN G. RODRIGO, and ALAN COOPER. "Time-dependent rates of molecular evolution." Molecular Ecology 20, no. 15 (July 8, 2011): 3087–101. http://dx.doi.org/10.1111/j.1365-294x.2011.05178.x.

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2

Nandi, Shubhendu, and Anandamohan Ghosh. "Transcriptional dynamics with time-dependent reaction rates." Physical Biology 12, no. 1 (February 11, 2015): 016015. http://dx.doi.org/10.1088/1478-3975/12/1/016015.

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3

Bugler-Lamb, S., and S. A. R. Horsley. "Polariton excitation rates from time dependent dielectrics." Journal of Physics B: Atomic, Molecular and Optical Physics 49, no. 23 (November 14, 2016): 235502. http://dx.doi.org/10.1088/0953-4075/49/23/235502.

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4

Murugan, R. "Stochastic transcription initiation: Time dependent transcription rates." Biophysical Chemistry 121, no. 1 (April 2006): 51–56. http://dx.doi.org/10.1016/j.bpc.2005.12.010.

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5

Baxter, G. J. "A voter model with time dependent flip rates." Journal of Statistical Mechanics: Theory and Experiment 2011, no. 09 (September 14, 2011): P09005. http://dx.doi.org/10.1088/1742-5468/2011/09/p09005.

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6

Aadland, Tore, Peter M. Sadler, and William Helland-Hansen. "Geometric interpretation of time-scale dependent sedimentation rates." Sedimentary Geology 371 (September 2018): 32–40. http://dx.doi.org/10.1016/j.sedgeo.2018.04.003.

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7

KENNEDY, G. "Modelling time-dependent intrest rates by mathematical formula*." IMA Journal of Management Mathematics 4, no. 4 (1992): 317–30. http://dx.doi.org/10.1093/imaman/4.4.317.

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8

Cripps, Andrew. "Time-dependent modelling of soil-gas flow rates." Environment International 22 (January 1996): 499–507. http://dx.doi.org/10.1016/s0160-4120(96)00152-3.

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9

Hu, Zhen, and Xiaoping Du. "Time-dependent reliability analysis with joint upcrossing rates." Structural and Multidisciplinary Optimization 48, no. 5 (June 19, 2013): 893–907. http://dx.doi.org/10.1007/s00158-013-0937-2.

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10

Girshick, S. L., C. P. Chiu, and P. H. McMurry. "Time-Dependent Aerosol Models and Homogeneous Nucleation Rates." Aerosol Science and Technology 13, no. 4 (January 1990): 465–77. http://dx.doi.org/10.1080/02786829008959461.

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11

Barker, C. S., V. Soro, D. Dymock, M. Fulford, J. R. Sandy, and A. J. Ireland. "Time-dependent recontamination rates of sterilised dental instruments." British Dental Journal 211, no. 8 (October 2011): E17. http://dx.doi.org/10.1038/sj.bdj.2011.869.

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12

Halpern, V. "The physical significance of time-dependent transition rates." Journal of Physics: Condensed Matter 6, no. 44 (October 31, 1994): 9451–58. http://dx.doi.org/10.1088/0953-8984/6/44/023.

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13

Leptokaropoulos, K. M., E. E. Papadimitriou, B. Orlecka-Sikora, V. G. Karakostas, and F. K. Vallianatos. "Time-Dependent Earthquake Occurrence Rates along the Hellenic Arc." Bulletin of the Seismological Society of America 104, no. 6 (September 30, 2014): 3029–53. http://dx.doi.org/10.1785/0120130298.

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14

Tan, Xiaoqian, Charles Knessl, and Yongzhi (Peter) Yang. "On finite capacity queues with time dependent arrival rates." Stochastic Processes and their Applications 123, no. 6 (June 2013): 2175–227. http://dx.doi.org/10.1016/j.spa.2013.02.002.

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15

Buchholz, Peter. "Hybrid analysis of SGSPNs with time-dependent transition rates." Performance Evaluation 44, no. 1-4 (April 2001): 187–209. http://dx.doi.org/10.1016/s0166-5316(00)00057-2.

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16

Dolgopyat, D., P. Hebbar, L. Koralov, and M. Perlman. "Multi-type branching processes with time-dependent branching rates." Journal of Applied Probability 55, no. 3 (September 2018): 701–27. http://dx.doi.org/10.1017/jpr.2018.46.

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Abstract Under mild nondegeneracy assumptions on branching rates in each generation, we provide a criterion for almost sure extinction of a multi-type branching process with time-dependent branching rates. We also provide a criterion for the total number of particles (conditioned on survival and divided by the expectation of the resulting random variable) to approach an exponential random variable as time goes to ∞.

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17

Kerschhofer, L., M. Liu, D. C. Rubie, J. D. C. McConnell, T. G. Sharp, and C. Dupas. "Intracrystalline Olivine-Ringwoodite Transformation and Time-Dependent Growth Rates." REVIEW OF HIGH PRESSURE SCIENCE AND TECHNOLOGY 7 (1998): 28–33. http://dx.doi.org/10.4131/jshpreview.7.28.

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18

Ishizaki, Ryuji, and Masayoshi Inoue. "Time-series analysis of foreign exchange rates using time-dependent pattern entropy." Physica A: Statistical Mechanics and its Applications 392, no. 16 (August 2013): 3344–50. http://dx.doi.org/10.1016/j.physa.2013.03.041.

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19

Aiewsakun, Pakorn, and Aris Katzourakis. "Time-Dependent Rate Phenomenon in Viruses." Journal of Virology 90, no. 16 (June 1, 2016): 7184–95. http://dx.doi.org/10.1128/jvi.00593-16.

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ABSTRACTAmong the most fundamental questions in viral evolutionary biology are how fast viruses evolve and how evolutionary rates differ among viruses and fluctuate through time. Traditionally, viruses are loosely classed into two groups: slow-evolving DNA viruses and fast-evolving RNA viruses. As viral evolutionary rate estimates become more available, it appears that the rates are negatively correlated with the measurement timescales and that the boundary between the rates of DNA and RNA viruses might not be as clear as previously thought. In this study, we collected 396 viral evolutionary rate estimates across almost all viral genome types and replication strategies, and we examined their rate dynamics. We showed that the time-dependent rate phenomenon exists across multiple levels of viral taxonomy, from the Baltimore classification viral groups to genera. We also showed that, by taking the rate decay dynamics into account, a clear division between the rates of DNA and RNA viruses as well as reverse-transcribing viruses could be recovered. Surprisingly, despite large differences in their biology, our analyses suggested that the rate decay speed is independent of viral types and thus might be useful for better estimation of the evolutionary time scale of any virus. To illustrate this, we used our model to reestimate the evolutionary timescales of extant lentiviruses, which were previously suggested to be very young by standard phylogenetic analyses. Our analyses suggested that these viruses are millions of years old, in agreement with paleovirological evidence, and therefore, for the first time, reconciled molecular analyses of ancient and extant viruses.IMPORTANCEThis work provides direct evidence that viral evolutionary rate estimates decay with their measurement timescales and that the rate decay speeds do not differ significantly among viruses despite the vast differences in their molecular features. After adjustment for the rate decay dynamics, the division between the rates of double-stranded DNA (dsDNA), single-stranded RNA (ssRNA), and ssDNA/reverse-transcribing viruses could be seen more clearly than before. Our results provide a guideline for further improvement of the molecular clock. As a demonstration of this, we used our model to reestimate the timescales of modern lentiviruses, which were previously thought to be very young, and concluded that they are millions of years old. This result matches the estimate from paleovirological analyses, thus bridging the gap between ancient and extant viral evolutionary studies.

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20

Parthasarathy, P. R., and R. Sudhesh. "Time-dependent analysis of a single-server retrial queue with state-dependent rates." Operations Research Letters 35, no. 5 (September 2007): 601–11. http://dx.doi.org/10.1016/j.orl.2006.12.005.

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21

Membrebe, Jade Vincent, Marc A. Suchard, Andrew Rambaut, Guy Baele, and Philippe Lemey. "Bayesian Inference of Evolutionary Histories under Time-Dependent Substitution Rates." Molecular Biology and Evolution 36, no. 8 (April 19, 2019): 1793–803. http://dx.doi.org/10.1093/molbev/msz094.

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AbstractMany factors complicate the estimation of time scales for phylogenetic histories, requiring increasingly complex evolutionary models and inference procedures. The widespread application of molecular clock dating has led to the insight that evolutionary rate estimates may vary with the time frame of measurement. This is particularly well established for rapidly evolving viruses that can accumulate sequence divergence over years or even months. However, this rapid evolution stands at odds with a relatively high degree of conservation of viruses or endogenous virus elements over much longer time scales. Building on recent insights into time-dependent evolutionary rates, we develop a formal and flexible Bayesian statistical inference approach that accommodates rate variation through time. We evaluate the novel molecular clock model on a foamy virus cospeciation history and a lentivirus evolutionary history and compare the performance to other molecular clock models. For both virus examples, we estimate a similarly strong time-dependent effect that implies rates varying over four orders of magnitude. The application of an analogous codon substitution model does not implicate long-term purifying selection as the cause of this effect. However, selection does appear to affect divergence time estimates for the less deep evolutionary history of the Ebolavirus genus. Finally, we explore the application of our approach on woolly mammoth ancient DNA data, which shows a much weaker, but still important, time-dependent rate effect that has a noticeable impact on node age estimates. Future developments aimed at incorporating more complex evolutionary processes will further add to the broad applicability of our approach.

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22

Plonka, Andrzej, and Adam Paszkiewicz. "Phenomenological interpretation of kinetics with time-dependent specific reaction rates." Chemical Physics 212, no. 1 (November 1996): 1–8. http://dx.doi.org/10.1016/s0301-0104(96)00180-2.

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23

Baharian, Golshid, Arash Khatibi, and Sheldon H. Jacobson. "Sequential stochastic assignment problem with time-dependent random success rates." Journal of Applied Probability 53, no. 4 (December 2016): 1052–63. http://dx.doi.org/10.1017/jpr.2016.64.

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Abstract The sequential stochastic assignment problem (SSAP) allocates distinct workers with deterministic values to sequentially arriving tasks with stochastic parameters to maximize the expected total reward. In this paper we study an extension of the SSAP, in which the worker values are considered to be random variables, taking on new values upon each task arrival. Several SSAP models with different assumptions on the distribution of the worker values and closed-form expressions for optimal assignment policies are presented.

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24

Geng, Jun, and Zhongwei Shen. "Convergence rates in parabolic homogenization with time-dependent periodic coefficients." Journal of Functional Analysis 272, no. 5 (March 2017): 2092–113. http://dx.doi.org/10.1016/j.jfa.2016.10.005.

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25

Etinski, Mihajlo, Jörg Tatchen, and Christel M. Marian. "Time-dependent approaches for the calculation of intersystem crossing rates." Journal of Chemical Physics 134, no. 15 (April 21, 2011): 154105. http://dx.doi.org/10.1063/1.3575582.

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26

Lejeune, Claude, and Pierre Bastien. "Solutions of the coagulation equation with time-dependent coagulation rates." Astrophysical Journal 309 (October 1986): 167. http://dx.doi.org/10.1086/164589.

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27

Ho, Simon Y. W., Sebastián Duchêne, Martyna Molak, and Beth Shapiro. "Time-dependent estimates of molecular evolutionary rates: evidence and causes." Molecular Ecology 24, no. 24 (December 2015): 6007–12. http://dx.doi.org/10.1111/mec.13450.

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28

Jarzynski, Christopher. "Lag inequality for birth–death processes with time-dependent rates." Journal of Physics A: Mathematical and General 38, no. 14 (March 22, 2005): L227—L233. http://dx.doi.org/10.1088/0305-4470/38/14/l04.

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29

Martin, M. V. "Summary of: Time-dependent recontamination rates of sterilised dental instruments." British Dental Journal 211, no. 8 (October 2011): 376–77. http://dx.doi.org/10.1038/sj.bdj.2011.872.

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30

Fan, Guihong, Hal L. Smith, and Horst R. Thieme. "Competition in the Chemostat with Time-Dependent Differential Removal Rates." Vietnam Journal of Mathematics 45, no. 1-2 (May 30, 2016): 153–78. http://dx.doi.org/10.1007/s10013-016-0208-9.

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31

Greenhalgh, Scott, and Troy Day. "Time-varying and state-dependent recovery rates in epidemiological models." Infectious Disease Modelling 2, no. 4 (November 2017): 419–30. http://dx.doi.org/10.1016/j.idm.2017.09.002.

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32

Ishizaki, Ryuji, and Masayoshi Inoue. "Time-series analysis of multiple foreign exchange rates using time-dependent pattern entropy." Physica A: Statistical Mechanics and its Applications 490 (January 2018): 967–74. http://dx.doi.org/10.1016/j.physa.2017.08.144.

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33

Moreira, Saulo V., Breno Marques, and Fernando L. Semião. "Time-Dependent Dephasing and Quantum Transport." Entropy 23, no. 9 (September 8, 2021): 1179. http://dx.doi.org/10.3390/e23091179.

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The investigation of the phenomenon of dephasing assisted quantum transport, which happens when the presence of dephasing benefits the efficiency of this process, has been mainly focused on Markovian scenarios associated with constant and positive dephasing rates in their respective Lindblad master equations. What happens if we consider a more general framework, where time-dependent dephasing rates are allowed, thereby, permitting the possibility of non-Markovian scenarios? Does dephasing-assisted transport still manifest for non-Markovian dephasing? Here, we address these open questions in a setup of coupled two-level systems. Our results show that the manifestation of non-Markovian dephasing-assisted transport depends on the way in which the incoherent energy sources are locally coupled to the chain. This is illustrated with two different configurations, namely non-symmetric and symmetric. Specifically, we verify that non-Markovian dephasing-assisted transport manifested only in the non-symmetric configuration. This allows us to draw a parallel with the conditions in which time-independent Markovian dephasing-assisted transport manifests. Finally, we find similar results by considering a controllable and experimentally implementable system, which highlights the significance of our findings for quantum technologies.

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34

Fralix, Brian. "A TIME-DEPENDENT STUDY OF THE KNOCKOUT QUEUE." Probability in the Engineering and Informational Sciences 27, no. 3 (March 28, 2013): 309–17. http://dx.doi.org/10.1017/s0269964813000041.

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We examine the time-dependent behavior of a birth–death process, whose birth rates and death rates are decreasing and increasing, respectively, with respect to the current state. Such models can be used to describe Markovian queueing systems with exponential reneging, where potential arrivals balk with a certain probability that depends on the number of customers observed upon arrival. Our results are derived by interpreting the birth–death process as the queue-length process of what we refer to as the “knockout queue.”

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35

AL SULAIMANI, HAMDAN, KHALEEL ANAYA, CYRIL DENNIS ENYI, and SOH EDWIN MUKIAWA. "A GENERAL AND OPTIMAL DECAY RESULT FOR A VISCOELASTIC EQUATION WITH A STRONG TIME DEPENDENT DELAY." Journal of Mathematical Analysis 13, no. 3 (June 30, 2022): 27–43. http://dx.doi.org/10.54379/jma-2022-3-3.

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In this paper, we establish an optimal and general decay result for the energy of a viscoelastic equation exhibiting a strong time-dependent delay. This is achieved by considering a minimal condition on the relaxation function g. The exponential and polynomial decay rates are obtained as special cases.The theoretical computations are supported with a numerical analysis of the problem under consideration. This work extends and generalizes some recent results in the literature.

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36

Daoulatli, Moez. "Rates of decay for the wave systems with time dependent damping." Discrete & Continuous Dynamical Systems - A 31, no. 2 (2011): 407–43. http://dx.doi.org/10.3934/dcds.2011.31.407.

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37

D’Auria, Bernardo, Ivo J. B. F. Adan, René Bekker, and Vidyadhar Kulkarni. "An M/M/c queue with queueing-time dependent service rates." European Journal of Operational Research 299, no. 2 (June 2022): 566–79. http://dx.doi.org/10.1016/j.ejor.2021.12.023.

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38

McElroy, Brandon, Jane Willenbring, and David Mohrig. "Addressing time-scale–dependent erosion rates from measurement methods with censorship." GSA Bulletin 130, no. 3-4 (September 12, 2017): 381–95. http://dx.doi.org/10.1130/b31644.1.

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39

Elsberg, Daniel H., William D. Harrison, Mark A. Zumberge, John L. Morack, Erin C. Pettit, Edward D. Waddington, and Eric Husmann. "Depth- and time-dependent vertical strain rates at Siple Dome, Antarctica." Journal of Glaciology 50, no. 171 (2004): 511–21. http://dx.doi.org/10.3189/172756504781829684.

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AbstractAs part of a project to investigate the flow of ice at low effective stress, two independent strain-gauge systems were used to measure vertical strain rate as a function of depth and time at Siple Dome, Antarctica. The measurements were made from January 1998 until January 2002 at the ice divide and a site 7km to the northeast on the flank. The strain-rate profiles place constraints on the rheology of ice at low stress, show the expected differences between divide and flank flow (with some structure due to firn compaction and probably ice stratigraphy), and suggest that the flow of the ice sheet has not changed much in the last 8.6 kyr. The strain rates show an unexpected time dependence on scales ranging from several months to hours, including discrete summer events at the divide. Time dependence in strain rate, water pressure, seismicity, velocity and possibly basal motion has been seen previously on the Siple Coast ice streams, but it is especially surprising on Siple Dome because the bed is cold.

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40

Young, T. H., and G. T. Liou. "Dynamic Response of Rotor-Bearing Systems With Time-Dependent Spin Rates." Journal of Engineering for Gas Turbines and Power 115, no. 2 (April 1, 1993): 239–45. http://dx.doi.org/10.1115/1.2906700.

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This paper presents an investigation into the vibration of rotor-bearing systems with time-dependent spin rates. Due to this spin rate, parametric instability may take place in certain situations. In this work, the Galerkin method is used to eliminate the dependence on the spatial coordinates, and then the method of multiple scales is applied to derive periodic solutions and expressions for the boundaries of unstable regions analytically. Numerical results are given for the case where the spin rate is characterized as a small, harmonic perturbation superimposed on a constant rate. The effects of system parameters on the changes of the boundaries of unstable regions are shown.

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41

Zhang, Lina. "Decay rates of solutions to Euler equations with time-dependent damping." Nonlinear Analysis: Real World Applications 54 (August 2020): 103102. http://dx.doi.org/10.1016/j.nonrwa.2020.103102.

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42

Chávez-Casillas, Jonathan A., Robert J. Elliott, Bruno Rémillard, and Anatoliy V. Swishchuk. "A Level-1 Limit Order Book with Time Dependent Arrival Rates." Methodology and Computing in Applied Probability 21, no. 3 (June 1, 2019): 699–719. http://dx.doi.org/10.1007/s11009-019-09715-7.

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43

Kenley, Susan S., Chin Long Chiang, and Richard J. Brand. "A two-state recurrent stochastic model with time-dependent transition rates." Mathematical Biosciences 111, no. 2 (October 1992): 249–59. http://dx.doi.org/10.1016/0025-5564(92)90073-6.

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44

Atwood, Corwin L. "Parametric estimation of time-dependent failure rates for probabilistic risk assessment." Reliability Engineering & System Safety 37, no. 3 (January 1992): 181–94. http://dx.doi.org/10.1016/0951-8320(92)90122-2.

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45

Kirchsteiger, Christian. "Nonparametric estimation of time-dependent failure rates for probabilistic risk assessment." Reliability Engineering & System Safety 44, no. 1 (January 1994): 1–9. http://dx.doi.org/10.1016/0951-8320(94)90102-3.

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46

Srinivasa Rao, K., and J. Durga Aparajitha. "On two node tandem queueing model with time dependent service rates." International Journal of System Assurance Engineering and Management 10, no. 1 (July 31, 2018): 19–34. http://dx.doi.org/10.1007/s13198-018-0731-z.

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47

Kobayashi, Ryota, Shigeru Shinomoto, and Petr Lansky. "Estimation of Time-Dependent Input from Neuronal Membrane Potential." Neural Computation 23, no. 12 (December 2011): 3070–93. http://dx.doi.org/10.1162/neco_a_00205.

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The set of firing rates of the presynaptic excitatory and inhibitory neurons constitutes the input signal to the postsynaptic neuron. Estimation of the time-varying input rates from intracellularly recorded membrane potential is investigated here. For that purpose, the membrane potential dynamics must be specified. We consider the Ornstein-Uhlenbeck stochastic process, one of the most common single-neuron models, with time-dependent mean and variance. Assuming the slow variation of these two moments, it is possible to formulate the estimation problem by using a state-space model. We develop an algorithm that estimates the paths of the mean and variance of the input current by using the empirical Bayes approach. Then the input firing rates are directly available from the moments. The proposed method is applied to three simulated data examples: constant signal, sinusoidally modulated signal, and constant signal with a jump. For the constant signal, the estimation performance of the method is comparable to that of the traditionally applied maximum likelihood method. Further, the proposed method accurately estimates both continuous and discontinuous time-variable signals. In the case of the signal with a jump, which does not satisfy the assumption of slow variability, the robustness of the method is verified. It can be concluded that the method provides reliable estimates of the total input firing rates, which are not experimentally measurable.

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48

Sabbaghi, Omid. "How do entrepreneurship rates vary across different races?" Journal of Small Business and Enterprise Development 26, no. 3 (June 4, 2019): 325–41. http://dx.doi.org/10.1108/jsbed-02-2018-0062.

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Purpose The purpose of this paper is to examine the time-series dynamics of entrepreneurship rates for different race classifications based on household characteristics over the 1996 through 2013 period. Design/methodology/approach Using microdata from the Kauffman Foundation, this study investigates the roles of unemployment, homeownership, income, immigration, education, age, gender and marital status in relation to entrepreneurship rates for different race classifications through ridge regression analysis. Findings Results suggest that the time-series variation in entrepreneurship rates for different race classifications are variable-dependent, moreover, the economic and statistical significance of the candidate explanatory variables are sensitive to the time period under analysis. Unemployment, homeownership, education, age and marital status are significant variables for whites while unemployment, income, immigration and gender variables are significant for blacks. For the case of Native Americans and Asians, the candidate explanatory variables do not explain the time-series variation in entrepreneurship rates for the sample periods in this study. Social implications This study exhibits implications for public policy in helping to promote entrepreneurship at the individual level and help stimulate entrepreneurial activity as a mechanism for promoting economic growth. Originality/value The findings suggest the importance of examining entrepreneurship rates across time based on race classifications. This study highlights the importance of conducting ridge regression analysis for different sub-periods in time when assessing entrepreneurship rates.

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49

Wang, Bao, and Quanxin Zhu. "Mode dependent H ∞ filtering for semi-Markovian jump linear systems with sojourn time dependent transition rates." IET Control Theory & Applications 13, no. 18 (December 17, 2019): 3019–25. http://dx.doi.org/10.1049/iet-cta.2019.0141.

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50

Sissay, Adonay, Paul Abanador, François Mauger, Mette Gaarde, Kenneth J. Schafer, and Kenneth Lopata. "Angle-dependent strong-field molecular ionization rates with tuned range-separated time-dependent density functional theory." Journal of Chemical Physics 145, no. 9 (September 2, 2016): 094105. http://dx.doi.org/10.1063/1.4961731.

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