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Letteratura scientifica selezionata sul tema "Cycle dynamic"

Autore: Grafiati

Pubblicato: 15 febbraio 2025

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Articoli di riviste sul tema "Cycle dynamic"

Kapon, Sam. "Dynamic Amnesty Programs". American Economic Review 112, n. 12 (1 dicembre 2022): 4041–75. http://dx.doi.org/10.1257/aer.20211428.

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A regulator faces a stream of agents engaged in crimes with stochastic returns. The regulator designs an amnesty program, committing to a time path of punishments for criminals who report their crimes. In an optimal program, time variation in the returns from crime can generate time variation in the generosity of amnesty. I construct an optimal time path and show that it exhibits amnesty cycles. Amnesty becomes increasingly generous over time until it hits a bound, after which the cycle resets. Agents engaged in high return crime report at the end of each cycle, while agents engaged in low return crime report always. (JEL D82, D86, K42)

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Massardo, Aristide. "High-Efficiency Solar Dynamic Space Power Generation System". Journal of Solar Energy Engineering 113, n. 3 (1 agosto 1991): 131–37. http://dx.doi.org/10.1115/1.2930484.

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Space power technologies have undergone significant advances over the past few years, and great emphasis is being placed on the development of dynamic power systems at this time. A design study has been conducted to evaluate the applicability of a combined cycle concept—closed Brayton cycle and organic Rankine cycle coupling—for solar dynamic space power generation systems. In the concept presented here (solar dynamic combined cycle), the waste heat rejected by the closed Brayton cycle working fluid is utilized to heat the organic working fluid of an organic Rankine cycle system. This allows the solar dynamic combined cycle efficiency to be increased compared to the efficiencies of two subsystems (closed Brayton cycle and organic fluid cycle). Also, for small-size space power systems (up to 50 kW), the efficiency of the solar dynamic combined cycle can be comparable with Stirling engine performance. The closed Brayton cycle and organic Rankine cycle designs are based on a great deal of maturity assessed in much previous work on terrestrial and solar dynamic power systems. This is not yet true for the Stirling cycles. The purpose of this paper is to analyze the performance of the new space power generation system (solar dynamic combined cycle). The significant benefits of the solar dynamic combined cycle concept such as efficiency increase, mass reduction, specific area—collector and radiator—reduction, are presented and discussed for a low earth orbit space station application.

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Anthony, Michael Scopatz. "Nonjudgmental Dynamic Fuel Cycle Benchmarking". Nuclear Technology 195, n. 3 (settembre 2016): 273–87. http://dx.doi.org/10.13182/nt15-153.

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Barras, R., e D. Ferguson. "Dynamic Modelling of the Building Cycle: 2. Empirical Results". Environment and Planning A: Economy and Space 19, n. 4 (aprile 1987): 493–520. http://dx.doi.org/10.1068/a190493.

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This paper is a presentation of the results of the third stage of a project designed to investigate the incidence and causes of postwar building cycles in the British economy. In the first stage spectral analysis was used to identify the main postwar cycles in each sector of building (industrial, commercial, and residential); the second stage involved the development of a theoretical framework suitable for dynamic modelling of these cycles; and the third stage was concerned with estimating the best time-series model for each cycle. The estimated models demonstrate the presence of both an endogenous supply-side mechanism creating major building cycles of up to nine years' duration, and the exogenous influence of business-cycle fluctuations within user and investment submarkets which are transmitted via the demand for property into short building cycles of four to five years duration. In addition, the models demonstrate how the building cycle in each sector may be influenced by other factors, such as development costs and property rents and values.

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Shlufman, K. V., G. P. Neverova e E. Ya Frisman. "Phase Multistability of Dynamics Modes of the Ricker Model with Periodic Malthusian Parameter". Mathematical Biology and Bioinformatics 13, n. 1 (24 aprile 2018): 68–83. http://dx.doi.org/10.17537/2018.13.68.

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The paper investigates the phase multistability of dynamical modes of the Ricker model with 2-year periodic Malthusian parameter. It is shown that both the variable perturbation and the phase shift of the Malthusian parameter can lead to a phase shift or a change in the dynamic mode observed. The possibility of switches between different dynamic modes is due to multistability, since the model has two different stable 2-cycles. The first stable 2-cycle is the result of transcritical bifurcation and is synchronous to the oscillations of the Malthusian parameter. The second stable 2-cycle arises as a result of the tangent bifurcation and is asynchronous to the oscillations of the Malthusian parameter. This indicates that two-year fluctuations in the population size can be both synchronous and asynchronous to the fluctuations in the environment. The phase shift of the Malthusian parameter causes a phase shift in the stable 4-cycle of the first bifurcation series to one or even three elements of the 4-cycle. The phase shift to two elements of this 4-cycle is possible due to a change in the half-amplitude of the Malthusian parameter oscillation or the variable perturbation. At the same time, the longer period of the cycle, the more phases with their attraction basins it has, and the smaller the threshold values above which shift from the attraction basin to another one occur. As a result, in the case of cycles with long period (for example, 8-cycle) perturbations, that stable cycles with short period are able to "absorb", can cause different phase transitions, which significantly complicates the dynamics of the model trajectory and, as a consequence, the identification of the dynamic mode observed.

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Adobor, Henry. "Supply chain resilience: an adaptive cycle approach". International Journal of Logistics Management 31, n. 3 (10 agosto 2020): 443–63. http://dx.doi.org/10.1108/ijlm-01-2020-0019.

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PurposeThe purpose of this paper is to develop a conceptual framework for extending an understanding of resilience in complex adaptive system (CAS) such as supply chains using the adaptive cycle framework. The adaptive cycle framework may help explain change and the long term dynamics and resilience in supply chain networks. Adaptive cycles assume that dynamic systems such as supply chain networks go through stages of growth, development, collapse and reorientation. Adaptive cycles suggest that the resilience of a complex adaptive system such as supply chains are not fixed but expand and contract over time and resilience requires such systems to navigate each of the cycles’ four stages successfully.Design/methodology/approachThis research uses the adaptive cycle framework to explain supply chain resilience (SCRES). It explores the phases of the adaptive cycle, its pathologies and key properties and links these to competences and behaviors that are important for system and SCRES. The study develops a conceptual framework linking adaptive cycles to SCRES. The goal is to extend dynamic theories of SCRES by borrowing from the adaptive cycle framework. We review the literature on the adaptive cycle framework, its properties and link these to SCRES.FindingsThe key insight is that the adaptive cycle concept can broaden our understanding of SCRES beyond focal scales, including cross-scale resilience. As a framework, the adaptive cycle can explain the mechanisms that support or prevent resilience in supply chains. Adaptive cycles may also give us new insights into the sort of competences required to avoid stagnation, promote system renewal as resilience expands and contracts over time.Research limitations/implicationsThe adaptive cycle may move our discussion of resilience beyond engineering and ecological resilience to include evolutionary resilience. While the first two presently dominates our theorizing on SCRES, evolutionary resilience may be more insightful than both are. Adaptive cycles capture the idea of change, adaptation and transformation and allow us to explore cross-scale resilience.Practical implicationsKnowing how to prepare for and overcoming key pathologies associated with each stage of the adaptive cycle can broaden our repertoire of strategies for managing SCRES across time. Human agency is important for preventing systems from crossing critical thresholds into imminent collapse. More importantly, disruptions may present an opportunity for innovation and renewal for building more resilience supply chains.Originality/valueThis research is one of the few studies that have applied the adaptive cycle concept to SCRES and extends our understanding of the dynamic structure of SCRES

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Ramasamy, Manikandan, Jacob S. Wilson, William J. McCroskey e Preston B. Martin. "Characterizing Cycle-to-Cycle Variations in Dynamic Stall Measurements". Journal of the American Helicopter Society 63, n. 2 (1 aprile 2018): 1–24. http://dx.doi.org/10.4050/jahs.63.022002.

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Basu, Sukanta, Jean-François Vinuesa e Andrew Swift. "Dynamic LES Modeling of a Diurnal Cycle". Journal of Applied Meteorology and Climatology 47, n. 4 (1 aprile 2008): 1156–74. http://dx.doi.org/10.1175/2007jamc1677.1.

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Abstract The diurnally varying atmospheric boundary layer observed during the Wangara (Australia) case study is simulated using the recently proposed locally averaged scale-dependent dynamic subgrid-scale (SGS) model. This tuning-free SGS model enables one to dynamically compute the Smagorinsky coefficient and the subgrid-scale Prandtl number based on the local dynamics of the resolved velocity and temperature fields. It is shown that this SGS-model-based large-eddy simulation (LES) has the ability to faithfully reproduce the characteristics of observed atmospheric boundary layers even with relatively coarse resolutions. In particular, the development, magnitude, and location of an observed nocturnal low-level jet are depicted quite well. Some well-established empirical formulations (e.g., mixed layer scaling, spectral scaling) are recovered with good accuracy by this SGS parameterization. The application of this new-generation dynamic SGS modeling approach is also briefly delineated to address several practical wind-energy-related issues.

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Mansour, F. M., A. M. Abdul Aziz, S. M. Abdel-Ghany e H. M. El-shaer. "Combined cycle dynamics". Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 217, n. 3 (1 gennaio 2003): 247–58. http://dx.doi.org/10.1243/095765003322066484.

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A mathematical model describing the dynamic behaviour of each major component of the combined cycle is presented. The formulae are deduced from continuity, momentum, energy, and state equations. Partial differential equations (PDEs) are discretized to algebraic equations by using the implicit backward-central finite difference scheme and then solved by iteration. Explicit-Euler's integration method is applied to other differential equations (DEs). A multi-element control system is implemented to investigate its effect on the combined cycle's dynamic response. The simulation results are compared with the design and steady-state operational data of the unit number 4 in Cairo South Combined Cycle Power Plant, showing good agreement. The dynamic results prove the effectiveness of the multi-element control strategy to control the combined cycle plant with fast settling time, neglected steady-state error, and moderate overshoot or undershoot while assuring a stable operation under sudden changes of load.

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Li, Xiao-Lin, Jing Yan e Xiaohui Wei. "Dynamic connectedness among monetary policy cycle, financial cycle and business cycle in China". Economic Analysis and Policy 69 (marzo 2021): 640–52. http://dx.doi.org/10.1016/j.eap.2021.01.014.

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Più fonti

Tesi sul tema "Cycle dynamic"

Purushotham, Vineeth. "Dynamic Life Cycle Costing". Thesis, KTH, Industriell produktion, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102785.

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Maintenance is an extremely important issue in the industry. Testimony to this fact is that European companies spend about 140 billion euro per year on maintenance activities. In Sweden alone, the annual cost of maintenance and related activities reaches 250 billion crowns and these costs are the costs incurred when maintenance jobs are performed and does not include the consequences of poor maintenance with which the costs would be significantly higher. The new paradigm in the manufacturing sector identifies utilization of production resources as a main competitive weapon. To meet the high demands of the industry like high efficiency, enhanced customization and high speed of delivery, a much higher operational availability and capability of production systems have to be achieved. In this context, maintenance becomes an important strategic issue. The objectives of this study are to develop a dynamic LCC model supporting decision making in the early stages of investment and production development process allowing estimating and optimizing life cycle costs of production equipment including maintenance considerations. It will give the concerned stakeholders a better chance of estimating the whole life cycle costs and select proper design alternative for new investments. It can be used as a tool for the justification of investment in Condition Based Maintenance technologies which is underestimated in present calculation models.

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Miller, Eric S. "Dynamic Modeling of Vapor Compression Cycle Systems". University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337715881.

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Monteiro, Maria Rovisco Correia Gonçalves. "Dynamic of estuarine prokaryotic communities and the nitrogen cycle". Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/12738.

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Mestrado em Microbiologia
Estuaries are highly dynamic aquatic systems, having steep physical and chemical gradients, such as salinity, influencing microbial communities in terms of their abundance and diversity. The analysis of microbial responses and adaptations to those environmental fluctuations became essential to understand the biogeochemical cycles that regulate these ecosystems, which have been undergoing progressive anthropogenic pressures. In this study, we investigated the dynamics of Archaea and Bacteria diversity along the salinity gradient of the Douro River estuary (NW Portugal). Samples were collected at four locations covering the salinity gradient, ranging from 4.9 - 21.7 ppt. The application of denaturing gradient gel electrophoresis (DGGE) showed a variation of Bacteria and Archaea diversity along the salinity gradient. The diversity of ammonia oxidizing Archaea (AOA) was also assessed by the analysis of amoA diversity. Simultaneously, were measured net fluxes of inorganic nitrogen (NH4+, NO3-, NO2-) and nitrification rates by using acetylene and 15N isotope analysis. The results showed that although there was an increase in the diversity of AOA with the decrease of salinity, the highest magnitudes of nitrification rates were registered at intermediary saline sites, where there was a higher availability of NH4+. This study revealed important insights on the effect of salinity on estuarine prokaryotic diversity structure as well on the dynamics of key processes of the nitrogen cycle.
Estuários são ecossistemas aquáticos altamente dinâmicos, possuindo grandes gradientes físicos e químicos, como é o caso da salinidade, influenciando as comunidades microbianas em termos de diversidade e abundância. A análise das respostas e adaptações destas comunidades às flutuações ambientais torna-se essencial para a compreensão dos ciclos biogeoquímicos que regulam estes ecossistemas, que tem vindo nos últimos anos a sofrer pressões ambientais devido à crescente atividade antropogénica. Neste estudo, investigámos a dinâmica da diversidade de Archaea e Bacteria ao longo de um gradiente de salinidade no estuário do Rio Douro (NW, Portugal). As amostras foram recolhidas em quatro locais cobrindo um gradiente de salinidade que variou entre 4.9 - 21.7 ppt. A aplicação da técnica de electroforese em gel com gradiente desnaturante (DGGE), revelou uma variação na diversidade de Bacteria e Archaea ao longo do gradiente salino. A diversidade das comunidades de Archaea com a capacidade de oxidar a amónia (AOA) foi também avaliada através da análise de diversidade do gene funcional amoA. Paralelamente, foram avaliados os fluxos líquidos dos compostos de azoto inorgânico (NH4+, NO3-, NO2-) bem como as taxas de nitrificação através da utilização do método do acetileno e da análise isotópica de 15N. Os resultados mostraram que apesar de ter ocorrido um aumento da diversidade das AOA com a diminuição da salinidade, as maiores magnitudes das taxas de nitrificação foram registadas nos locais com salinidades intermédias, onde se registou maior disponibilidade de NH4+. Este estudo permitiu-nos obter importantes conhecimentos sobre o efeito da salinidade na estrutura das comunidades procariotas estuarinas bem como na dinâmica de processos chave do ciclo do azoto.

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Green, Lilian. "Dynamic simulation for whole life appraisal". Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325206.

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Kholodilin, Konstantin A. "Dynamic Factor Analysis as a Methodology of Business Cycle Research". Doctoral thesis, Universitat Autònoma de Barcelona, 2003. http://hdl.handle.net/10803/4043.

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El objetivo principal de la investigación emprendida en la presente tesis doctoral es elaborar una técnica de construcción de un indicador económico compuesto o un conjunto de dichos indicadores que, correspondiendo al concepto teorético del ciclo económico (comercial), permitirán detectar y predecir los puntos de giro del ciclo económico.
Como el punto de partida hemos escogido la definición del ciclo económico propuesta por Burns y Mitchell (1946). Según nuestra opinión, el analisis dinámico factorial es el método idóneo para captar los puntos de giro del ciclo económico en el sentido de Burns y Mitchell. Por un lado, tiene en cuenta los movimientos comunes de varias series macroeconómicas que bajan y suben simultaneamente durante las fases de recesiones y expansiones, respectivamente. Por otro lado, refleja las asimetrías que existen entre las dos fases cíclicas, como, por ejemplo, las tasas de crecimiento y la volatilidad distintas durante las recesiones y expansiones. Ambos rasgos estan subrayados por Burns y Mitchell como características definitivas del ciclo económico.
El análisis dinámico factorial en su estado actual exige sin duda ciertas modificaciones y algunas extensiones para obtener las estimaciones insesgadas y consistentes de los indicadores económicos compuestos y para utilizar la información disponible de la mejor manera posible.
Nuestra investigación está dirigida, en primer lugar, hacia los economistas prácticos que han optado por utilizar el análisis dinámico factorial para la construcción del indicador del ciclo económico tanto a nivél regional como nacional.
La tesis esta compuesta por cinco capítulos donde el primer y el último capítulos son, respectivamente, la introducción y la conclusión. En ellos se exponen los objetivos del estudio y los resultados alcanzados en el curso de la investigación.
En el capítulo dos describimos varios metodos de análisis de las fluctuaciones económicas que han sido propuestos durante los últimos 20 años. Por un lado, consideramos los modelos con la dinámica nolineal, concretamente el cambio de regímenes o el Markov switching. Por otro lado, examinamos los modelos lineales del análisis dinámico factorial. Al final del capítulo analizamos el modelo del factor común latente con la dinámica nolineal (con cambios de regímenes) que está construido como una combinación de estos dos metodos principales.
En el capítulo tres introducimos un modelo general dinámico multifactorial con la dinámica lineal y nolineal. Este modelo permite captar la dimensión intertemporal (indicador avanzado versus indicador coincidente) de los factores comunes inobservables. Se examinan dos modelos dinámicos alternativos con un factor común inobservable avanzado y un factor común inobservable coincidente. En el primer modelo el factor común coincidente esta influido por el factor común avanzado a través del mecanismo de causalidad de Granger. Mientras que en el segundo modelo los dos factores estan relacionados via la matríz de las probabilidades de transición. Debido a que el factor avanzado contiene información sobre los cambios futuros de las fases cíclicas, ambos modelos permiten hacer predicciones de los puntos de giro del ciclo económico.
En el capítulo cuatro elaboramos las técnicas sumplementarias necesarias para resolver algunos problemas de datos que son bastante frecuentes en la actividad de un economista empírico. Los dos problemas más importantes son los cambios estructurales y la falta de observaciones, particularmente cuando los datos que estan disponibles con distintas frecuencias (por ejemplo: los datos mensuales y trimestrales). Estos problemas quiebran la continuidad de la serie temporal y reducen el número de observaciones válidas para el análisis estadístico. Se demuestra que estos problemas se resuelven modificando el modelo de análisis dinámico factorial, con lo que se obtienen estimaciones más eficientes de los parametros del modelo.
The main objective of our research undertaken in this thesis is to elaborate a technique of constructing a composite economic indicator or a set of such indicators which would correspond to the theoretical concept of business cycle and reflect a phenomenon which may be interpreted as the cyclical dynamics of the economy.
As a point of departure we have chosen the definition of business cycle proposed by Burns and Mitchell (1946). We believe that the most appropriate method to capture the Burns and Mitchell's cycle would be the dynamic factor analysis.
The dynamic factor analysis in its current state requires undoubtedly some refinements and extensions to obtain unbiased and consistent estimates of the composite economic indicators and to use the available information in the best possible way.
Our research is mostly oriented towards the practitioners who have opted for using the dynamic factor approach in the construction of the business cycle indicator both at the regional and national levels.
The thesis is comprised of five chapters where the first and the last chapters are the introduction and conclusion delineating the objectives of the study and summarizing the results achieved during research.
Chapter two describes various approaches to the analysis of economic fluctuations proposed during the last 20 years. On the one hand, it concentrates on models with nonlinear, namely Markov-switching, dynamics, on the other hand, it is concerned with dynamic factor models. Finally, it shows the combined techniques which unify these two principal approaches, thus, modeling common latent factor with regime-switching dynamics.
In chapter three we introduce a general multifactor dynamic model with linear and regime-switching dynamics. This model allows capturing the intertemporal (leading versus coincident) dimension of the latent common factors. Two alternative multifactor dynamic models with a leading and a coincident unobserved common factors are examined: a model where the common coincident factor is Granger-caused by the common leading factor and a model where the leading relationship is translated into a set of specific restrictions imposed on the transition probabilities matrix.
Chapter four concentrates on the supplementary devices which allow to overcome some data problems which are very frequent in the practitioner's life. Among the most prominent are the structural breaks and missing observations. It is shown that some of these troubles can be coped with by modifying the dynamic common factors models, which leads to more efficient estimates of the parameters of the models.

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Mitko, Katrin Gabriele. "Dynamic transcriptome profiling of bovine endometrium during the oestrous cycle". Diss., lmu, 2008. http://nbn-resolving.de/urn:nbn:de:bvb:19-95112.

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Biewald, Anne. "A dynamic life cycle model for Germany with unemployment uncertainty". Phd thesis, Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2009/3311/.

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This work analyzes the saving and consumption behavior of agents faced with the possibility of unemployment in a dynamic and stochastic life cycle model. The intertemporal optimization is based on Dynamic Programming with a backward recursion algorithm. The implemented uncertainty is not based on income shocks as it is done in traditional life cycle models but uses Markov probabilities where the probability for the next employment status of the agent depends on the current status. The utility function used is a CRRA function (constant relative risk aversion), combined with a CES function (constant elasticity of substitution) and has several consumption goods, a subsistence level, money and a bequest function.
Diese Arbeit modelliert das Spar- und Konsumverhalten von Individuen in Deutschland mit einem Lebenszyklusmodell. Dabei hat das Modell zwei Besonderheiten, erstens trifft die Möglichkeit arbeitslos zu werden nicht jeden Agenten des Models mit der gleichen Wahrscheinlichkeit, sondern wird von Bildungsabschluss und dem Beschäftigungsstatus des Agenten beeinflußt und zweitens weicht die verwendete Nutzenfunktion von den Standardnutzenfunktionen ab und implementiert Vererbung, Geld, verschiedene Güter und Subsistenzlevel. Der Optimierungsalgorithmus basiert auf Dynamischer Programmierung.

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Ranade, Vishakhdutt. "Dynamic Modeling of Rankine Cycle using Arbitrary Lagrangian Eulerian Method". University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1491562460235764.

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Martínez, Redondo Paloma. "The epigenetic regulation of cell cycle and chromatin dynamic by sirtuins". Doctoral thesis, Universitat de Barcelona, 2014. http://hdl.handle.net/10803/283568.

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The chromatin consists of a hierarchical and dynamical structure that is modulated during the different cell cycle stages in order to maintain genome integrity and preserve the genetic information coded in the DNA. The dynamic structure of the chromatin depends on the coordination of the different chromatin remodeling processes: histone modifications, chromatin remodeling enzymes/complexes, DNA methylation and chromatin architectural proteins (CAPs). Within the chromatin, the histone-mediated regulation responds mainly to the modification of its N-terminal domain or "tail." Among the different histone modifications, acetylation at specific lysine residues (K) is one of the best characterized, and the acetylation of lysine 16 of histone H4 is the most frequently acetylated residue in eukaryotes. The acetylated form of H4K16 is an important mark of actively transcribed euchromatin from yeast to humans; whereas its non acetylated form is associated with gene silencing and heterochromatin regions. The dynamics of this histone modification is mainly governed by three enzymes: the histone acetyltransferases (HAT) MOF (males absent of the first), and the histone deacetylases (HDAC) SIRT1 and SIRT2. Therefore, both groups of enzymes are essential for the regulation of gene expression and chromatin organization in the nucleus, regulating the transition between transcriptionally active and inactive state of chromatin. SIRT1 and SIRT2 belong to the Class III of HDACs, termed as sirtuins, which are crucial for genomic integrity, adaptation to the environment and aging, among other functions. On one hand, SIRT2 is the only mammalian sirtuin located in the cytoplasm, which is known to shuttle to the nucleus during G2/M. Consistently, this HDAC has its main role in deacetylating H4K16Ac during G2-M. So far, the role of SIRT2 as the main H4K16Ac during mitosis has only been demonstrated by mammalian cell culture experiments or yeast studies. Therefore, for the first time, our study demonstrates the essential role of SIRT2 in regulating H4K16Ac levels during mitosis in vivo. As a matter of fact, our results support the function of SIRT2 in regulating chromatin dynamics by its involvement in the control not only of H4K16Ac levels, but also of H4K20me1-3 levels during the whole cell cycle. Notwithstanding, as happens with other sirtuin members, SIRT2 has also been shown to regulate and deacetylate non-histone substrates that govern cell cycle, stress response, cell survival and genome stability. Furthermore, one of the main roles of SIRT2 consists of modulating cell cycle progression and SIRT2 has been found to regulate diverse mitotic checkpoint proteins such as CDH1, CDC20, BubR1 and p53. Additionally, our results suggest that the chromatin histone patterns generated by SIRT2 during mitosis are essential in the control of cell cycle progression and attend to two complementary mechanisms: the deacetylation of both H4K16Ac and PR-Set7, the monomethyltrasferase of H4K20. We have found that SIRT2 is clearly involved in a mitotic checkpoint and regulate H4K20me1 deposition under stressful conditions, in order to preserve genome integrity. On the other hand, SIRT1 has been mainly involved in regulating heterochomatin formation and gene silencing by deacetylating histone and non-histone substrates. In fact, SIRT1 is involved in the maintenance of genome integrity due to its role in heterochromatin formation by deacetylating histone marks (H3K9Ac and H1K26Ac) and regulating heterochromatin related proteins such as HP1, Suv39h1 and Ezh2. In addition, SIRT1 also deacetylates H4K16Ac, H3K9Ac and H1K26Ac at specific promoters in order to control gene expression; and regulates non-histone proteins such as p53, FoxO factors, and Rb, among others, to specifically modulate the gene expression pattern. Nonetheless, SIRT1 has recently been implicated in cell cycle regulation throughout the control of Mcm10, the eukaryotic DNA initiation factor essential for S-phase progression. Accordingly, our study also demonstrate how SIRT1 may be involved in the regulation of cell cycle progression by modulating the expression of PR-Set7 and Suv4-20h2, the enzymes in charge of mono- and di-methylate H4K20, respectively. Altogether this evidences the role of sirtuins in preserving genome integrity by modulating chromatin dynamics and cell cycle progression from mitosis to S-phase.
La cromatina consiste en una estructura jerárquica y dinámica que se regula durante el ciclo celular con el fin de mantener la integridad del genoma y preservar la información genética codificada en el ADN. Esta estructura dinámica depende de la coordinación de diferentes procesos: modificaciones histónicas, la actividad de enzimas/complejos remodeladores de la cromatina, metilación del ADN y la participación de proteínas estructurales de la cromatina. De entre estos procesos, las modificaciones histónicas tienen lugar en el dominio N-terminal o "cola" de las histonas. Entre las diferentes modificaciones que pueden sufrir, la acetilación de lisinas (K) es una de las mejor caracterizadas, y de entre ellas, la acetilación de la lisina 16 de la histona H4 es la más frecuente en eucariotas. La forma acetilada de H4K16 es una marca importante en eucromatina transcripcionalmente activa que se ha encontrado desde levaduras hasta el ser humano; mientras que su forma no acetilada se asocia con el silenciamiento de genes y regiones de heterocromatina. Esta dinámica de acetilación/desacetilación de este residuo histónico se rige principalmente por tres enzimas: la acetiltransferasa de histonas (HAT) MOF (varones ausentes de la primera), y las deacetilasas de histonas (HDAC) SIRT1 y SIRT2. Por lo tanto, los dos grupos de enzimas son esenciales para la regulación de la expresión de genes y la organización de la cromatina en el núcleo, regulando la transición entre el estado transcripcionalmente activo e inactivo de la cromatina. SIRT1 y SIRT2 pertenecen a la Clase III de las HDACs, denominado como sirtuinas, y son cruciales para el mantenimiento de la integridad genómica, la adaptación al entorno y el envejecimiento, entre otras funciones. Por un lado, SIRT2 es la única sirtuina de mamífero que se encuentra en el citoplasma, pero la cual pasa al núcleo durante G2/M. Como consecuencia, la principal función de esta HDAC es la desacetilación de H4K16Ac durante G2-M. Hasta el momento, el papel de SIRT2 como una de las principales desacetilasas de H4K16Ac durante mitosis sólo se ha demostrado por los experimentos realizados usando células de mamífero en cultivo o levaduras. Por lo tanto, nuestro estudio demuestra por primera vez el papel de SIRT2 en la regulación de los niveles de H4K16Ac en mitosis in vivo. De hecho, nuestros resultados apoyan la función de SIRT2 en la regulación de la cromatina por su participación en el control no sólo de los niveles de H4K16Ac, sino también los de H4K20me durante todo el ciclo celular. No obstante, como sucede con otros miembros de la familia de las sirtuinas, SIRT2 también regula y desacetila sustratos no histónicos que controlan el ciclo celular, la respuesta al estrés, la supervivencia celular y la estabilidad del genoma. Una de las principales funciones de SIRT2 consiste en su participación en el control del ciclo celular, habiéndose descrito diversas proteínas involucradas en el control mitótico que parecen estar reguladas por SIRT2, tales como CDH1, CDC20, BubR1 y p53. Además, nuestros resultados sugieren que los patrones de histonas generados por SIRT2 durante mitosis son esenciales en el control de la progresión del ciclo celular y se deben a dos mecanismos complementarios: la desacetilación tanto de H4K16Ac como de PR-Set7, la enzima encargada de monometilar H4K20. En consonancia, nuestro estudio ha podido demostrar como SIRT2 está claramente implicada en un punto de control de mitosis, y regula la deposición de H4K20me1 en condiciones de estrés, con el fin de preservar la integridad genómica. Por otro lado, SIRT1 ha sido principalmente descrita en la regulación de la formación de heterecromatina y silenciamiento génico por desacetilación de histonas y de sustratos no histónicos. De hecho, SIRT1 participa en el mantenimiento de la integridad del genómica a través de su función en la formación de heterocromatina, desacetilando marcas histonicas (H3K9ac y H1K26Ac) y regulando otras proteínas como HP1, Suv39h1 y Ezh2. Además, SIRT1 también desacetila H4K16Ac, H3K9Ac y H1K26Ac en promotores específicos con el fin de controlar la expresión génica; y regula proteínas no histónicas tales como Suv39h1, p53, factores FoxO, y Rb, entre otros, con el fin de modular específicamente el patrón de expresión. Además, SIRT1 ha sido recientemente implicada en el control del ciclo celular a través de la regulación de Mcm10, el factor eucariota esencial para la iniciación de la replicación del ADN durante la fase-S. Sin embargo, nuestros estudios demuestran cómo SIRT1 puede estar implicada en la regulación del ciclo celular modulando de la expresión de PR-Set7 y Suv4-20h2, las enzimas responsables de mono- y di-metilar H4K20, respectivamente. En conjunto, nuestros resultados evidencian el papel de las sirtuinas en la preservación de la integridad genomica mediante la modulación de la cromatina y de la progresión del ciclo celular desde mitosis a fase-S.

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Bierbaum, Martin [Verfasser]. "Dynamic chromatin association of RCC1 during the cell cycle / Martin Bierbaum". Dortmund : Universitätsbibliothek Technische Universität Dortmund, 2011. http://d-nb.info/1013386124/34.

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Libri sul tema "Cycle dynamic"

Sheil, Astrid. Dynamic public relations: The 24/7 PR cycle. Boston: Pearson, 2013.

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W, Carlson Albert, e United States. National Aeronautics and Space Administration., a cura di. Solar dynamic heat rejection technology: Task 1 : system concept development, final report. [Washington, DC]: National Aeronautics and Space Administration, 1987.

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Jane, Falkingham, e Hills John 1954-, a cura di. The dynamic of welfare: The welfare state and the life cycle. New York: Prentice Hall/Harvester Wheatsheaf, 1995.

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Alexander, Dennis. 2 kWe Solar Dynamic Ground Test Demonstration Project. [Washington, DC]: National Aeronautics and Space Administration, 1997.

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Alexander, Dennis. 2 kWe Solar Dynamic Ground Test Demonstration Project. [Washington, DC]: National Aeronautics and Space Administration, 1997.

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Alexander, Dennis. 2 kWe Solar Dynamic Ground Test Demonstration Project. [Washington, DC]: National Aeronautics and Space Administration, 1997.

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Forni, Mario. Let's get real: a dynamic factor analytical approach to disaggregated business cycle. London: Centre for Economic Policy Research, 1995.

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Forni, Mario. Let's get real: A dynamic factor analytical approach to disaggregated business cycle. London: Centre for Economic Policy Research, 1995.

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M, Duran J., Kauffmann R. R e Langley Research Center, a cura di. The multi-disciplinary design study: A life cycle cost algorithm. Hampton, Va. : National Aeronautics and Space Administration, Langley Research Center: For sale by the National Technical Information Service, 1987.

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Capitoli di libri sul tema "Cycle dynamic"

Hannon, Bruce, e Matthias Ruth. "Pig Cycle". In Dynamic Modeling, 338–47. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0211-7_34.

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Anderson, James H., e Andrew H. Bellenkes. "Create a positive learning cycle". In Leading Dynamic Seminars, 47–62. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-349-92615-2_5.

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Emanuel, William R., Anthony W. King e Wilfred M. Post. "A Dynamic Model of Terrestrial Carbon Cycling". In The Global Carbon Cycle, 239–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84608-3_10.

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Hänninen, Heikki. "Dynamic Modelling of the Annual Cycle". In Boreal and Temperate Trees in a Changing Climate, 15–34. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-7549-6_2.

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Filardo, Andrew J., e Stephen F. Gordon. "Business Cycle Turning Points: Two Empirical Business Cycle Model Approaches". In Dynamic Modeling and Econometrics in Economics and Finance, 1–32. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5129-4_1.

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Suzuki, Yoshimi. "Dynamic Cycle of Dissolved Organic Carbon and Marine Productivity". In The Global Carbon Cycle, 531–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84608-3_21.

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Pahl-Wostl, Claudia. "Dynamic versus static models for photosynthesis". In The Daily Growth Cycle of Phytoplankton, 189–96. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2805-6_18.

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Boianovsky, Mauro. "IV. The Three Dynamic Determinants". In Business Cycle Theory, Part II Volume 6, 279–92. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003549772-34.

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Harrod, Roy F. "An Essay in Dynamic Theory". In Business Cycle Theory, Part II Volume 5, 391–410. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003550358-23.

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Boyd, Sarah B. "Life-Cycle Assessment of Dynamic Random Access Memory". In Life-Cycle Assessment of Semiconductors, 97–107. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9988-7_7.

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Atti di convegni sul tema "Cycle dynamic"

Harms, Tanner, Pourya Nikouccyan e Jonathan Naughton. "Modal Analysis of the Cycle-to-Cycle Variations Observed in Dynamic Stall". In Vertical Flight Society 74th Annual Forum & Technology Display, 1–15. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12905.

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An experiment was conducted on a two-dimensional SC1094R8 airfoil model with the intention of investigating the cycle-to-cycle variations observed in dynamic stall. Unsteady surface pressure measurements were recorded at numerous points along the airfoil surface at specific pitching conditions that displayed more than one preferred reattachment process. Sets of individual cycles that represented the dominant reattachment processes were identified and compared to the phase-average, showing significant differences in pressure distributions and aerodynamic loads. Proper Orthogonal Decomposition was then employed to the unsteady pressure distributions with the intent of isolating the influence of specific modes on the cycle-to-cycle variations. The results indicate that the importance of the modes changes depending on the particular reattachment process observed. Approved for public release: distribution unlimited. Review completed by the AMRDEC Public Affairs Office (PR3 3750, 10 April 2018).

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Rasheed, Farhan, Abrar Naseer, Emma Nilsson, Talha Bin Masood e Ingrid Hotz. "Multi-scale Cycle Tracking in Dynamic Planar Graphs". In 2024 IEEE Topological Data Analysis and Visualization (TopoInVis), 44–54. IEEE, 2024. http://dx.doi.org/10.1109/topoinvis64104.2024.00009.

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Raghav, Vrishank, e Narayanan Komerath. "Dynamic Stall Life Cycle on a Rotating Blade in Steady Forward Flight". In Vertical Flight Society 70th Annual Forum & Technology Display, 1–14. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9449.

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Stereoscopic particle image velocimetry is used to study the three-dimensional flow field over a retreating rotor blade in dynamic stall. The dynamic stall event is characterized from the inception of flow dynamic separation through dynamic reattachment on the rotating blade. First, the separation event is studied by characterizing the dynamic separation mechanism in action and the effect of advance ratio on the onset of dynamic separation. Next, the vortex dynamics and the associated cycle-to-cycle variations during the dynamic stall event are characterized. The radial component of flow (from root to blade tip) during the dynamic stall event is shown to be significant in the rotating environment and strongly affected by advance ratio. The unsteady nature of the flow field is characterized by using proper orthogonal decomposition. Comparisons of the phase-averaged and instantaneous velocity fields shows the dynamic stall vortex to be spatially diffused. These results imply significant effects on the pitching moment variation from cycle to cycle since the effective center of the vortex appears to occur at different locations in every cycle. Finally, the last phase of dynamic stall, the dynamic reattachment phase on the rotating blade is investigated. Dynamic reattachment was observed to be greatly affected by advance ratio with an increase in advance ratio resulting in advancement of dynamic reattachment.

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Chen, Song, e Fengjun Yan. "Cycle-by-Cycle Based In-Cylinder Temperature Estimation for Diesel Engines". In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-4005.

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The in-cylinder temperature information is critical in the field of auto-ignition control in advanced combustion modes. However, the in-cylinder temperature is hard to be directly measured at low cost in production engines. In this paper, a cycle-by-cycle estimation method is proposed for the in-cylinder temperature at the crank angle of intake valve closing (IVC), referred to as Tivc. Through investigating the thermodynamics of Tivc, an Extended Kalman Filter (EKF) based method was devised by utilizing the measurable temperature information from the intake and exhaust manifolds. The proposed method was validated through high-fidelity GT-Power engine model simulation.

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Maldonado, Bryan P., e Brian C. Kaul. "Control-Oriented Modeling of Cycle-to-Cycle Combustion Variability at the Misfire Limit in SI Engines". In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3255.

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Abstract A control-oriented model is presented that can capture the prior-cycle correlation of combustion cycles during conditions with high levels of exhaust gas recirculation (EGR). Combustion events are modeled in discrete time and the dynamic evolution is captured by the residual air, fuel, and inert gas trapped in the combustion chamber. The mathematical formulation of the model is presented together with the calibration procedure to emulate a particular engine operating condition. A cycle-to-cycle system identification methodology is described which allows regressing model parameters from experimental data. Simulations are presented and compared to real engine measurements to show the modeling potential for analysis and control of combustion events.

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Kim, Hyung Chul, Gregory A. Keoleian, Sabrina Spatari e Jonathan W. Bulkley. "Optimizing Vehicle Life Using Life Cycle Energy Analysis and Dynamic Replacement Modeling". In Total Life Cycle Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-1499.

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Pearson, Richard J. "Dynamic Power Conversion Cycle Component Demonstrations". In Intersociety Conference on Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1988. http://dx.doi.org/10.4271/881108.

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Harms, Tanner, Pourya Nikoueeyan e Jonathan W. Naughton. "An Experimental Evaluation of Cycle-to-Cycle Variations of Dynamic Stall". In 2018 AIAA Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-1267.

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Ahluwalia, K. S., e R. Domenichini. "Dynamic Modeling of a Combined-Cycle Plant". In ASME 1989 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/89-gt-133.

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Greater use is being made of dynamic simulation of energy systems as a design tool for selecting control strategies and establishing operating procedures. This paper discusses the dynamic modeling of a gas-fired combined-cycle power plant with a gas turbine, a steam turbine, and an alternator — all rotating on a common shaft. A waste-heat boiler produces steam at two pressures using heat from the gas turbine flue gas. The transient behavior of the system predicted by the model for various upset situations appears physically reasonable and satisfactory for the operating constraints.

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Chandrachoodan, Nitin, Shuvra S. Bhattacharyya e K. J. Ray Liu. "Adaptive negative cycle detection in dynamic graphs". In ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems. IEEE, 2001. http://dx.doi.org/10.1109/iscas.2001.922010.

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Rapporti di organizzazioni sul tema "Cycle dynamic"

Carranza, Juan Esteban, María Marta Ferreyra e Ana Maria Gazmuri. The dynamic market for short-cycle higher education programs. Banco de la República, dicembre 2023. http://dx.doi.org/10.32468/be.1265.

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We investigate the entry and exit of short-cycle higher education programs (SCPs), which last two or three years and can address local skill needs. Exploiting administrative data from Colombia, we study markets defined by geographic location and field of study. We find that institutions open new programs in response to local labor market demand, competition, and costs. Within markets, they often close and open programs simultaneously, possibly due to capacity constraints. SCPs are more responsive to local labor market demand than bachelor’s programs; private and non-university SCP providers are the most responsive. These findings have implications for workforce development.

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Middleton, Robert. Dynamic Species Reduction for Multi-Cycle CFD Simulations - Final Technical Report. Office of Scientific and Technical Information (OSTI), marzo 2023. http://dx.doi.org/10.2172/1961978.

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Cameron, Stephen, e James Heckman. Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts. Cambridge, MA: National Bureau of Economic Research, gennaio 1998. http://dx.doi.org/10.3386/w6385.

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Liese, Eric. High Fidelity Dynamic Simulation of Cycling in a Natural Gas Combined Cycle Power Plant. Office of Scientific and Technical Information (OSTI), febbraio 2016. http://dx.doi.org/10.2172/1845333.

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Fernandez, Andres, Andres Gonzalez e Diego Rodriguez. Sharing a Ride on the Commodities Roller Coaster: Common Factors in Business Cycles of Emerging Economies. Inter-American Development Bank, dicembre 2015. http://dx.doi.org/10.18235/0011716.

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Fluctuations in commodity prices are an important driver of business cycles in small emerging market economies (EMEs). This paper documents how these fluctuations correlate strongly with the business cycle in EMEs. A commodity sector is then embedded into a multi-country EMEs business cycle model where exogenous fluctuations in commodity prices follow a common dynamic factor structure and coexist with other driving forces. The estimated model assigns to commodity shocks 42 percent of the variance in income, of which a considerable part is linked to the common factor. A further amplification mechanism is a spillover effect from commodity prices to risk premia.

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Greenstein, Shane, e James Wade. Dynamic Modeling of the Product Life Cycle in the Commercial Mainframe Computer Market, 1968-1982. Cambridge, MA: National Bureau of Economic Research, agosto 1997. http://dx.doi.org/10.3386/w6124.

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Moisseytsev, A., e J. J. Sienicki. Analysis of supercritical CO{sub 2} cycle control strategies and dynamic response for Generation IV Reactors. Office of Scientific and Technical Information (OSTI), aprile 2011. http://dx.doi.org/10.2172/1011291.

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Moisseytsev, A., e J. J. Sienicki. Progress report on dynamic simulation of the Sandia small-scale supercritical carbon dioxide brayton cycle test loop with the ANL plant dynamics code. Office of Scientific and Technical Information (OSTI), ottobre 2012. http://dx.doi.org/10.2172/1054501.

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Gilleskie, Donna, Euna Han e Edward Norton. Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle. Cambridge, MA: National Bureau of Economic Research, luglio 2016. http://dx.doi.org/10.3386/w22430.

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Heresi, Rodrigo. Reallocation and Productivity during Commodity Cycles. Inter-American Development Bank, aprile 2021. http://dx.doi.org/10.18235/0003203.

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I study the firm-level dynamic response of a commodity-exporting economy to global cycles in commodity prices. To do so, I develop a heterogeneous-firms model that endogenizes declines in aggregate productivity through reallocation towards less productive firms. Within a given sector, commodity booms reallocate market share away from exporters because of currency appreciation and away from capital-intensive firms because of the increase in capital cost. I provide empirical evidence for these channels using microdata for Chile, the worlds largest copper producer. When fed with the commodity super-cycle of 2003-2012, the calibrated model generates about 50% of the observed productivity decline.

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