Relevant bibliographies by topics / Stochastic lifespan

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Academic literature on the topic 'Stochastic lifespan'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Stochastic lifespan"

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Bylino, Oleg V., Anna A. Ogienko, Mikhail A. Batin, Pavel G. Georgiev, and Evgeniya S. Omelina. "Genetic, Environmental, and Stochastic Components of Lifespan Variability: The Drosophila Paradigm." International Journal of Molecular Sciences 25, no. 8 (2024): 4482. http://dx.doi.org/10.3390/ijms25084482.

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Lifespan is a complex quantitative trait involving genetic and non-genetic factors as well as the peculiarities of ontogenesis. As with all quantitative traits, lifespan shows considerable variation within populations and between individuals. Drosophila, a favourite object of geneticists, has greatly advanced our understanding of how different forms of variability affect lifespan. This review considers the role of heritable genetic variability, phenotypic plasticity and stochastic variability in controlling lifespan in Drosophila melanogaster. We discuss the major historical milestones in the
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Stubbings, Garrett, and Andrew Rutenberg. "Network topologies for maximal organismal health span and lifespan." Chaos: An Interdisciplinary Journal of Nonlinear Science 33, no. 2 (2023): 023124. http://dx.doi.org/10.1063/5.0105843.

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The population dynamics of human health and mortality can be jointly captured by complex network models using scale-free network topology. To validate and understand the choice of scale-free networks, we investigate which network topologies maximize either lifespan or health span. Using the Generic Network Model (GNM) of organismal aging, we find that both health span and lifespan are maximized with a “star” motif. Furthermore, these optimized topologies exhibit maximal lifespans that are not far above the maximal observed human lifespan. To approximate the complexity requirements of the under
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Yang, Yifan, Ana L. Santos, Luping Xu, Chantal Lotton, François Taddei, and Ariel B. Lindner. "Temporal scaling of aging as an adaptive strategy of Escherichia coli." Science Advances 5, no. 5 (2019): eaaw2069. http://dx.doi.org/10.1126/sciadv.aaw2069.

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Natural selection is thought to shape the evolution of aging patterns, although how life-history trajectories orchestrate the inherently stochastic processes associated with aging is unclear. Tracking clonal growth-arrested Escherichia coli cohorts in an homogeneous environment at single-cell resolution, we demonstrate that the Gompertz law of exponential mortality characterizes bacterial lifespan distributions. By disentangling the rate of aging from age-independent components of longevity, we find that increasing cellular maintenance through the general stress pathway reduces the aging rate
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Klimavičienė, Aušra. "STOCHASTIC OPTIMIZATION OF HEURISTIC METHOD RULE TO DETERMINE ASSET ALLOCATION TO RETIREMENT PORTFOLIO / STOCHASTINIS EURISTINIO METODO TAISYKLĖS PENSIJOS PORTFELIO SUDĖČIAI NUSTATYTI OPTIMIZAVIMAS." Business: Theory and Practice 12, no. 1 (2011): 92–98. http://dx.doi.org/10.3846/btp.2011.10.

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The article examines the problem of determining asset allocation to sustainable retirement portfolio. The article attempts to apply heuristic method – 100 minus age in stocks rule – to determine asset allocation to sustainable retirement portfolio. Using dynamic stochastic simulation and stochastic optimization techniques the optimization of heuristic method rule is presented and the optimal alternative to „100“ is found. Seeking to reflect the stochastic nature of stock and bond returns and the human lifespan, the dynamic stochastic simulation models incorporate both the stochastic returns an
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Klimavičienė, Aušra. "Stochastic Optimization of Heuristic Method Rule to Determine Asset Allocation to Retirement Portfolio." Business: Theory and Practice 12, no. (1) (2011): 92–98. https://doi.org/10.3846/btp.2011.10.

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The article examines the problem of determining asset allocation to sustainable retirement portfolio. The article attempts to apply heuristic method – 100 minus age in stocks rule – to determine asset allocation to sustainable retirement portfolio. Using dynamic stochastic simulation and stochastic optimization techniques the optimization of heuristic method rule is presented and the optimal alternative to "100" is found. Seeking to reflect the stochastic nature of stock and bond returns and the human lifespan, the dynamic stochastic simulation models incorporate both the stochastic returns an
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Šikić, Hrvoje, Yanrong Shi, Snježana Lubura, and Steven Bassnett. "A full lifespan model of vertebrate lens growth." Royal Society Open Science 4, no. 1 (2017): 160695. http://dx.doi.org/10.1098/rsos.160695.

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The mathematical determinants of vertebrate organ growth have yet to be elucidated fully. Here, we utilized empirical measurements and a dynamic branching process-based model to examine the growth of a simple organ system, the mouse lens, from E14.5 until the end of life. Our stochastic model used difference equations to model immigration and emigration between zones of the lens epithelium and included some deterministic elements, such as cellular footprint area. We found that the epithelial cell cycle was shortened significantly in the embryo, facilitating the rapid growth that marks early le
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Klimavičienė, Aušra. "Using Dynamic Stochastic Simulation to Determine Asset Allocation of Sustainable Retirement Portfelio for a Stochastic Lifetime." Business: Theory and Practice 11, no. (4) (2010): 381–86. https://doi.org/10.3846/btp.2010.41.

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The article examines the problem of determining asset allocation of sustainable retirement portfolio. Former researches used to analyse the fixed retirement planning horizon. Seeking to reflect the stochastic nature of the human lifespan the dynamic stochastic simulation models used for calculations are updated to incorporate the probability of living another year based on Lithuanians ' mortality tables. The article presents the attempts to analyse the methods used to identify the optimal asset allocation of retirement portfolio using dynamic stochastic simulation techniques. The research resu
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Zapién-Campos, Román, Michael Sieber, and Arne Traulsen. "Stochastic colonization of hosts with a finite lifespan can drive individual host microbes out of equilibrium." PLOS Computational Biology 16, no. 11 (2020): e1008392. http://dx.doi.org/10.1371/journal.pcbi.1008392.

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Macroorganisms are inhabited by microbial communities that often change through the lifespan of an individual. One of the factors contributing to this change is colonization from the environment. The colonization of initially microbe-free hosts is particularly interesting, as their microbiome depends entirely on microbes of external origin. We present a mathematical model of this process with a particular emphasis on the effect of ecological drift and a finite host lifespan. Our results indicate the host lifespan becomes especially relevant for short-living organisms (e.g. Caenorhabditis elega
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Machek, Ondrej, and Jiri Hnilica. "A Stochastic Model of Corporate Lifespan Based on Corporate Credit Ratings." International Journal of Engineering Business Management 5 (January 1, 2013): 45. http://dx.doi.org/10.5772/56918.

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Credit rating agencies and corporate lifecycles have been a subject of interest for practitioners and academics during the recent period of worldwide economic and debt crises. In this article, we examine what corporate lifespan the credit rating agencies predict. We employ the reliability theory commonly used in engineering and solve a Markov model based on the credit rating transition matrices issued by the Standard & Poor's rating agency. The results show that every company will eventually default in the long-term. However, the mean time to default differs according to the initial condit
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Caswell, Hal. "The contributions of stochastic demography and social inequality to lifespan variability." Demographic Research 49 (August 22, 2023): 309–54. http://dx.doi.org/10.4054/demres.2023.49.13.

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Book chapters on the topic "Stochastic lifespan"

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Paterson, Jamie, Martín López-García, Joseph Gillard, Thomas R. Laws, Grant Lythe, and Carmen Molina-París. "Analysis of Single Bacterium Dynamics in a Stochastic Model of Toxin-Producing Bacteria." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91825-5_13.

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AbstractWe stochastically model two bacterial populations which can produce toxins. We propose to analyse this biological system by following the dynamics of a single bacterium during its lifetime, as well as its progeny. We study the lifespan of a single bacterium, the number of divisions that this bacterium undergoes, and the number of toxin molecules that it produces during its lifetime. We also compute the mean number of bacteria in the genealogy of the original bacterium and the number of toxin molecules produced by its genealogy. We illustrate the applicability of our methods by consider
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Basellini, Ugofilippo, and Carlo Giovanni Camarda. "A Three-Component Approach to Model and Forecast Age-at-Death Distributions." In Developments in Demographic Forecasting. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42472-5_6.

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Abstract Mortality forecasting has recently received growing interest, as accurate projections of future lifespans are needed to ensure the solvency of insurance and pension providers. Several innovative stochastic methodologies have been proposed in most recent decades, the majority of them being based on age-specific mortality rates or on summary measures of the life table. The age-at-death distribution is an informative life-table function that provides readily available information on the mortality pattern of a population, yet it has been mostly overlooked for mortality projections. In thi
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Conference papers on the topic "Stochastic lifespan"

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Zhang, Weikai, Shenglin Zhang, Peifen Cheng, Meng Yang, and Liang Hao. "Research on Stochastic Optimization Configuration of User Side Energy Storage Considering Dynamic Lifespan Degradation." In 2024 4th International Conference on New Energy and Power Engineering (ICNEPE). IEEE, 2024. https://doi.org/10.1109/icnepe64067.2024.10860405.

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Schmidt, Dilnei, Carlos A. Bardanachvili, and Paulo M. Videiro. "Full Stochastic Fatigue Analysis of Stiffened Panels Subjected to Wave Slamming." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57788.

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The aim of the present work is the evaluation of the fatigue lifespan of a horizontal stiffened panel of an offshore structure subjected to random wave slamming. In order to achieve this objective, a methodology for time-domain slamming prediction was developed. Time series for the relative distance and velocity between the bottom panel and sea surface and the angle between the panel and the sea surface are simulated to provide a way to evaluate when the slamming occurs and the loads associated with slamming, using factor calibrated after a model test on ocean basin. With the loads obtained fr
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Nandagopal, Pugalenthi, Manjunath More, Rishi Relan, and Gurdev Singh. "Enhancing Turbine Inlet Temperature Prediction in Single Shaft Combined Cycle Power Plants Using Soft Sensor: A Grey-Box Modelling Approach." In ASME 2023 Gas Turbine India Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gtindia2023-118372.

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Abstract Measuring the turbine inlet temperature (TIT) in gas turbines is daunting due to the exceptionally high temperatures involved. Using thermocouples is not a cost-effective solution for directly measuring TIT, and their durability over extended periods is also a challenge. Online, near real-time accurate prediction of TIT and its close-loop feedback control is critical due to its significant impact on the rate of power generation and on the lifespan of the hot gas path components in gas turbines. Any increase in TIT can cause a reduction in their lifespan, while a decrease can result in
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Yonezawa, Heisei, Ansei Yonezawa, and Itsuro Kajiwara. "Simultaneous Perturbation Algorithm Tuned Oscillation Controller for Automotive Driveline With Kalman Filtering-Based Compensation for Dead-Zone Nonlinearity." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-143386.

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Abstract Advanced active control algorithms have addressed the reduction of vehicle driveline oscillations with the purpose of improving component lifespan and drivability. However, the majority of the current works require the important controller parameters to be determined subjectively, placing a significant burden on designers to make adjustments. This study offers an effective model-based driveline vibration controller tuning technique that specifically takes nonlinear backlash’s negative effects into account. Initially, a driveline model is created that incorporates a dead-zone impact of
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Sutoyo, H. R. D., M. C. Bellout, M. Hånes, and R. Oliveira. "Ensemble-Based Proactive Optimization using a Reactive Strategy for ICV Control." In SPE Norway Subsurface Conference. SPE, 2024. http://dx.doi.org/10.2118/218472-ms.

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Abstract Interval Control Valves (ICVs) are widely used to control fluid flow in producers and injectors. These devices help increase recovery throughout a field's lifespan by enabling effective drainage of reservoir zones. Suitable control methodologies are essential to ensure effective application of this technology in field cases. This paper introduces a workflow for assisting ICV operation based on a rule-based control criteria applied over an ensemble of models and how the optimal control targets can be found by putting these targets as control variables in ensemble optimization. The prop
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