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Gotowe bibliografie tematyczne / Power law mutation rates

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Artykuły w czasopismach

Gotowa bibliografia na temat „Power law mutation rates”

Autor: Grafiati

Data publikacji: 2 listopada 2024

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Artykuły w czasopismach na temat "Power law mutation rates"

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KIM, DOKYOON, and WONPYONG GILL. "CALCULATION OF THE CROSSING TIME THROUGH THE FITNESS BARRIER IN A SYMMETRIC MULTIPLICATIVE LANDSCAPE." International Journal of Modern Physics C 16, no. 01 (2005): 85–97. http://dx.doi.org/10.1142/s0129183105006942.

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The crossing time through fitness barrier in a symmetric multiplicative landscape is systematically calculated for various mutation rates, fitness parameters, and sequence lengths by using a computer simulation. It is found that the crossing time scales as a power law in the mutation rate and the fitness parameter. It is also found that the crossing time increases exponentially as the sequence length increases. We have obtained the approximate formula, which decribes the asymptotic behavior of the crossing time in the long-crossing-time region, and the improved approximate formula with the cor

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El-Far, Gomaa Zaki. "Design of Robust Approach for Failure Detection in Dynamic Control Systems." International Journal of Swarm Intelligence Research 2, no. 1 (2011): 24–43. http://dx.doi.org/10.4018/jsir.2011010102.

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This paper presents a robust instrument fault detection (IFD) scheme based on modified immune mechanism based evolutionary algorithm (MIMEA) that determines on line the optimal control actions, detects faults quickly in the control process, and reconfigures the controller structure. To ensure the capability of the proposed MIMEA, repeating cycles of crossover, mutation, and clonally selection are included through the sampling time. This increases the ability of the proposed algorithm to reach the global optimum performance and optimize the controller parameters through a few generations. A fau

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Xie, Tong, Hui Xu, Congying Zhao, et al. "Forensic Validation Studies of a Novel 35-InDel Multiplex Polymerase Chain Reaction System." Journal of Forensic Science and Medicine 9, no. 4 (2023): 303–8. http://dx.doi.org/10.4103/jfsm.jfsm_114_23.

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Abstract Background: A difficulty associated with forensic applications is the detection of degraded biological materials. Due to the large amplicon sizes of short tandem repeat alleles, valid genotyping results cannot be obtained from degraded biological materials. Recently, insertion/deletion (InDel) polymorphisms have been used in forensic applications for their widespread distributions in the human genome, short amplicon sizes, and low mutation rates. Purpose: Human identification InDel panels have mostly been designed for European populations. Therefore, our laboratory independently devel

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Arya, Rhea, Henkel Valentine, Uttam Satyal, Raju Chelluri, Mengmeng Li, and Philip Abbosh. "Abstract 3701: Urine-based liquid biopsy test for the detection of residual bladder cancer in radical cystectomy patients." Cancer Research 84, no. 6_Supplement (2024): 3701. http://dx.doi.org/10.1158/1538-7445.am2024-3701.

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Abstract The gold standard therapy for muscle-invasive bladder cancer (MIBC) is neoadjuvant chemotherapy followed by radical cystectomy (RC) and urinary diversion. Some patients may have their disease completely eradicated by chemotherapy as ~35% of patients achieve a pathologic complete response (pCR) when evaluated from RC specimens. RC with urinary diversion is a life-altering operation with high complication rates and therefore determining who are complete responders would improve quality of life and could decrease costs and still achieve a high cure rate via RC avoidance. Unfortunately, c

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Saichev, A., and D. Sornette. "Power law distributions of seismic rates." Tectonophysics 431, no. 1-4 (2007): 7–13. http://dx.doi.org/10.1016/j.tecto.2006.05.026.

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Banasiak, Jacek, Wilson Lamb, and Matthias Langer. "Strong fragmentation and coagulation with power-law rates." Journal of Engineering Mathematics 82, no. 1 (2013): 199–215. http://dx.doi.org/10.1007/s10665-012-9596-3.

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Liu, Renfeng, Yinbo Song, Chen Yuan, Desheng Wang, Peihua Xu, and Yaqin Li. "GAN-Based Abrupt Weather Data Augmentation for Wind Turbine Power Day-Ahead Predictions." Energies 16, no. 21 (2023): 7250. http://dx.doi.org/10.3390/en16217250.

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This study introduces a data augmentation technique based on generative adversarial networks (GANs) to improve the accuracy of day-ahead wind power predictions. To address the peculiarities of abrupt weather data, we propose a novel method for detecting mutation rates (MR) and local mutation rates (LMR). By analyzing historical data, we curated datasets that met specific mutation rate criteria. These transformed wind speed datasets were used as training instances, and using GAN-based methodologies, we generated a series of augmented training sets. The enriched dataset was then used to train th

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Serran, Jacqueline N., Irena F. Creed, Ali A. Ameli, and David A. Aldred. "Estimating rates of wetland loss using power-law functions." Wetlands 38, no. 1 (2017): 109–20. http://dx.doi.org/10.1007/s13157-017-0960-y.

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Zhou, Yanjun. "Applications of Kramers Escape Rate Theory With Power-Law Distributions." Revista Processos Químicos 9, no. 18 (2015): 393–97. http://dx.doi.org/10.19142/rpq.v9i18.339.

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Kramers escape rate theory is the most important one of modern reaction rate theories. However, one key assumption of the theory that thermodynamic equilibrium must prevail throughout the entire system studied is farfetched for open complex systems. Thereby, Kramers escape rates are generalized to describe rates of reactions in nonequilibrium systems with power-law distributions. Kramers escape rates in the very low damping systems, in overdamped systems and in the low-to-intermediate damping (LID) systems are investigated and the corresponding escape rates are obtained respectively on the bas

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10

CHAN, K. Y., T. C. FOGARTY, M. EMIN AYDIN, S. H. LING, and H. H. C. IU. "GENETIC ALGORITHMS WITH DYNAMIC MUTATION RATES AND THEIR INDUSTRIAL APPLICATIONS." International Journal of Computational Intelligence and Applications 07, no. 02 (2008): 103–28. http://dx.doi.org/10.1142/s1469026808002211.

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This paper presents a method on how to estimate main effects of gene representation. This estimate can be used not only to understand the domination of genes in the representation but also to design the mutation rate in genetic algorithms (GAs). A new approach of dynamic mutation rate is proposed by integrating the information of the main effects into the genes. By introducing the proposed method in GAs, both solution quality and solution stability can be improved in solving a set of parametrical test functions. The algorithm was applied to two illustrative applications to evaluate the perform

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