Relevant bibliographies by topics / 029902 Complex Physical Systems

Academic literature on the topic '029902 Complex Physical Systems'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "029902 Complex Physical Systems"

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Kwapień, Jarosław, and Stanisław Drożdż. "Physical approach to complex systems." Physics Reports 515, no. 3-4 (June 2012): 115–226. http://dx.doi.org/10.1016/j.physrep.2012.01.007.

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Fu, Jun, Jin Zhao Wu, Ning Zhou, and Hong Yan Tan. "Quantitative Models for Complex Physical Systems." Advanced Materials Research 1061-1062 (December 2014): 1144–47. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.1144.

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We present a quantitative model, called metric hybrid automata, for quantifying the behaviors of complex physical systems, such as chemical reaction control systems, manufacturing systems etc. Due to the introduction of a metric, the state space of hybrid automata forms a metric space, in which the difference of states can be quantified. Furthermore, in order to reveal the distance of system behaviors, we construct the simulation distance and the bisimulation distance, which quantify the similarity of system behaviors. Our model provides the basis for quantitative analysis for those complex physical systems.
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Uzhva, Denis, and Oleg Granichin. "Cluster control of complex cyber-physical systems." Cybernetics and Physics, Volume 10, 2021, Number 3 (November 30, 2021): 191–200. http://dx.doi.org/10.35470/2226-4116-2021-10-3-191-200.

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To our minds, the real world appears as a composition of different interacting entitites, which demonstrate complex behavior. In the current paper, we primarly aim to study such networked systems by developing corresponding approaches to modeling them, given a class of tasks. We derive it from the primary concept of information and a system, with corresponding dynamics emerging from interactions between system components. As we progress through the study, we discover three possible levels of certain synchronous pattern composition in complex systems: microscopic (the level of elementary components), mesoscopic (the level of clusters), and macroscopic (the level of the whole system). Above all, we focus on the clusterization phenomenon, which allows to reduce system complexity by regarding only a small number of stable manifolds, corresponding to cluster synchronization of system component states—as opposed to regarding the system as a whole or each elementary component separately. Eventually, we demonstrate how an optimization problem for cluster control synthesis can be formulated for a simple discrete linear system with clusterization.
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Metta, Giorgio, and Giulio Sandini. "Embodiment and complex systems." Behavioral and Brain Sciences 24, no. 6 (December 2001): 1068–69. http://dx.doi.org/10.1017/s0140525x01410120.

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In agreement with the target article, we would like to point out a few aspects related to embodiment which further support the position of biorobotics. We argue that, especially when complex systems are considered, modeling through a physical implementation can provide hints to comprehend the whole picture behind the specific set of experimental data.
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Kharitonov, O. V., L. A. Firsova, and E. A. Kozlitin. "Simulating Complex Displacement Chromatography Systems." Russian Journal of Physical Chemistry A 93, no. 4 (April 2019): 758–64. http://dx.doi.org/10.1134/s0036024419040162.

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Ebeling, W. "Predictability of Complex Dynamical Systems." Zeitschrift für Physikalische Chemie 206, Part_1_2 (January 1998): 274. http://dx.doi.org/10.1524/zpch.1998.206.part_1_2.274.

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Katina, Polinpapilinho F., Charles B. Keating, Adrian V. Gheorghe, and Marcelo Masera. "Complex system governance for critical cyber-physical systems." International Journal of Critical Infrastructures 13, no. 2/3 (2017): 168. http://dx.doi.org/10.1504/ijcis.2017.088230.

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Keating, Charles B., Adrian V. Gheorghe, Polinpapilinho F. Katina, and Marcelo Masera. "Complex system governance for critical cyber-physical systems." International Journal of Critical Infrastructures 13, no. 2/3 (2017): 168. http://dx.doi.org/10.1504/ijcis.2017.10009243.

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David, Pierre, Vincent Idasiak, and Frédéric Kratz. "Reliability study of complex physical systems using SysML." Reliability Engineering & System Safety 95, no. 4 (April 2010): 431–50. http://dx.doi.org/10.1016/j.ress.2009.11.015.

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Zambrano, Samuel, and Miguel A. F. Sanjuán. "Infinite horseshoes and complex dynamics in physical systems." Communications in Nonlinear Science and Numerical Simulation 22, no. 1-3 (May 2015): 866–71. http://dx.doi.org/10.1016/j.cnsns.2014.07.013.

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Dissertations / Theses on the topic "029902 Complex Physical Systems"

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Fenley, Andrew Townsend. "Simple Physical Approaches to Complex Biological Systems." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/38819.

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Properly representing the principle physical interactions of complex biological systems is paramount for building powerful, yet simple models. As an in depth look into different biological systems at different scales, multiple models are presented. At the molecular scale, an analytical solution to the (linearized) Poisson-Boltzmann equation for the electrostatic potential of any size biomolecule is derived using spherical geometry. The solution is tested both on an ideal sphere relative to an exact solution and on a multitude of biomolecules relative to a numerical solution. In all cases, the bulk of the error is within thermal noise. The computational power of the solution is demonstrated by finding the electrostatic potential at the surface of a viral capsid that is nearly half a million atoms in size. Next, a model of the nucleosome using simplified geometry is presented. This system is a complex of protein and DNA and acts as the first level of DNA compaction inside the nucleus of eukaryotes. The analytical model reveals a mechanism for controlling the stability of the nucleosome via changes to the total charge of the protein globular core. The analytical model is verified by a computational study on the stability change when the charge of individual residues is altered. Finally, a multiple model approach is taken to study bacteria that are capable of different responses depending on the size of their surrounding colony. The first model is capable of determining how the system propagates the information about the colony size to those specific genes that control the concentration of a master regulatory protein. A second model is used to analyze the direct RNA interference mechanism the cell employs to tune the available gene transcripts of the master regulatory protein, i.e. small RNA - messenger RNA regulation. This model provides a possible explanation for puzzling experimentally measured phenotypic responses.
Ph. D.
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Greenhough, John. "Signatures of highly-correlated processes in complex physical systems." Thesis, University of Warwick, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397525.

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Robertson, Craig Collumbine. "Building complex systems based on simple molecular architectures." Thesis, University of St Andrews, 2011. http://hdl.handle.net/10023/2573.

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Over the past twenty years molecules capable of templating their own synthesis, so called self–replicating molecules have gained prominence in the literature. We show herein that mixing the reagents for replicating molecules can produce a network of self–replicators which coexist and that the networks can be instructed by the addition of preformed template upon initiation of the reaction. Whilst self–replicating molecules offer the simplest form of replication, nature has evolved to utilise not minimal self–replication but reciprocal replication where one strand templates the formation of not an identical copy of itself but a reciprocal strand. Efforts thus far at producing a synthetic reciprocal replicating system are discussed and an alternative strategy to address the problems encountered is proposed and successfully implemented. The kinetic behaviour of a self–replicating reaction bears two distinctive time periods. Upon initiation, the reaction proceeds slowly as no template exists to catalyse the reaction. Upon production of the template, the reaction proceeds more rapidly via template direction. During this slow reaction period, the system is prone to mistakes as the reaction is slow and unselective. The creation of an [A•B] binary complex through non–covalent recognition of reagents allows for the reaction to proceed at an accelerated rate upon initiation however products of such a reaction are usually catalytically inert and do not promote further template directed reaction. A strategy to combine the desired behaviour of an [A•B] binary complex with the further template directed autocatalytic self–replicating reaction is described and implemented. Supramolecular polymers consist of repeating monomers which are held together by non–covalent interactions. The strong association of a self–replicating template dimer is comparable to that of supramolecular polymers reported thus far in the literature which are produced by cumbersome standard linear synthetic procedures. Herein the application of self–replication to the field of supramolecular polymer synthesis is discussed. As the autocatalytic reaction to produce the template monomers occurs under the same conditions as required to allow polymerisation to proceed, the polymer is able to spontaneously form in situ by self–replicating supramolecular polymerisation.
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Dai, Mehmet Naci Carleton University Dissertation Engineering Mechanical and Aerospace. "Automating the analysis of complex physical systems - the virtual foundry." Ottawa, 1994.

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Wang, Ying. "Simulating complex hydro-geomorphic changes in lake-catchment systems." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/363745/.

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Management of lake-catchment systems is a long-term challenge for prevention of hazard risk and further sustainable development. Climate change and human activities are two important factors that concurrently affect the hydrology and sediment regimes within systems. Many soil conservation and sediment control techniques are known and widely studied based on experimental field plots. Catchments are complex dynamic systems. Spatially-distributed and process-based models provide powerful tools to simulate the complex behaviour of hydro-geomorphological processes in response to climate change and human impact on fluvial systems. Accordingly, this study addresses the principles, testing and application of an established cellular automata landscape evolution model (CAESAR) to study the dynamic non-linear behaviour of complex systems, past and present interactions among landscape elements and environmental controls, and potential future impacts. The results from a series of simulations of different systems (simple catchment, Old Alresford Pond, UK and Holzmaar, Germany) over different timescales (50 years to 5000 years), demonstrate a rapid catchment response to climatic drivers. This is characterised by variations, particularly peaks of modelled sediment discharge controlled by the magnitude and frequency of floods and droughts happened in a single year or a period of time. The effect of vegetation cover also plays an important role in accelerating the delivery of sediment or protecting the catchment from soil erosion. This erosional response is validated by comparing modelled sediment discharge and system evolution to magnetic susceptibility and accumulation rates of lake sediments, as well as documented data. The non-linear properties of complex systems, such as thresholds, feedback mechanisms and self-organised capability, are shown to exist in these simulations. This study also provides the probabilistic results of potential erosion risks in terms of future natural and human pressures. The modelling application permits a better understanding of the relationship between environmental forcings and complex dynamic system evolution processes. In addition, it allows investigations of the extent to which past and present human-environmental interactions generate subsequent impacts for the purpose of effective landscape management.
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Francis, John Charles. "Qualitative system theory : a systems approach to modelling complex physical processes." Thesis, Heriot-Watt University, 1986. http://hdl.handle.net/10399/1080.

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Jeziorek, Peter Nicholas 1981. "Cost estimation of functional and physical changes made to complex systems." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/30313.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, February 2005.
Includes bibliographical references (p. 63).
Current cost estimation practices rely on statistically relating physical parameters of a system to historical cost data. Unfortunately, this method is unable to effectively communicate the increasing complexity of system design to cost data. Additionally, current cost estimation techniques have had a historical inability to produce credible and explainable results. It is often considered to be a "black art" with the recurring question: "Where did that number come from?" This thesis systematically links design and cost information together, and demonstrates the utility of that link by estimating the impact of functional and physical design changes on the life-cycle cost and determining key cost drivers. The ability to quickly estimate the cost impact of design changes is important for decision makers and serves as a medium of communication between customers and developers. Credible estimation is gained by intimately linking the axiomatic design framework to the already existing costing unit (or component) domain and providing design traceability. Development cost is predicted by determining the functional requirements (FRs) affected by a change in customer needs or constraints, then by determining the propagation of that change from FRs to design parameters (DPs) to costing units. The list of affected components and the magnitude of the impact on each component is found and then used to determine through a parallel iteration process model how much development labor will be necessary to implement those changes. The labor is directly related to development costs. A formal method to designing operations using axiomatic design is presented in this thesis. Operations exist due to the time-variant combinatorial complexity of FRs.
(cont.) Operations implement reinitialization procedures in order to maximize the probability of success of FRs. This provides the way that axiomatic design can derive operations and the related cost parameters. This information could then be plugged into the cost impact model of a design change to determine the list-of affected operations. A new method of estimating the change in cost parameters due to a design change will be the focus of future research. Two main forms of key cost drivers are identified: the most expensive FRs and design iteration. A method of mapping estimates from the costing unit domain to the FR-DP map is suggested in order to cost out FRs. Design iteration as a key cost driver can be seen from two points of view. Axiomatic design identifies small design ranges, coupling and imaginary complexity as contributors to cost. Design structure matrices identify the most iterative set of tasks in the development process and offer procedures to reduce or speed up the iteration.
by Peter Nicholas Jeziorek.
S.M.
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Moser, Michele R., and K. Keen. "Collaborative Systems for Children with Complex Physical and Mental Health Needs." Digital Commons @ East Tennessee State University, 2004. https://dc.etsu.edu/etsu-works/4995.

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Carra, Giulia. "Evolution of urban systems : a physical approach." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS254/document.

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Plus de 50% de la population mondiale vit dans des zones urbaines et cette proportion devrait augmenter dans les prochaines décennies. Comprendre ce qui régit l'évolution des systèmes urbains est donc devenu d'une importance fondamentale. Ce renouveau d'intérêt combiné avec la disponibilité de données à grande échelle, permet d'entrevoir l'avènement d'une nouvelle science des villes, interdisciplinaire et basée sur les données.Des études récentes ont montré l'existence de régularités statistiques et de lois d'échelle pour plusieurs indicateurs socio-économiques, tels que la consommation d'essence, la distance moyenne parcourue quotidiennement, le cout des infrastructures, etc. Malgré plusieurs tentatives récentes, la compréhension théorique de ces résultats observés empiriquement demeure très partielle.Le but de cette thèse est d'obtenir une modélisation simplifiée, hors-équilibre de la croissance urbaine, en s'appuyant sur un petit nombre de mécanismesimportants et qui fournit des prédictions quantitatives en accord avec lesdonnées empiriques. Pour cela, nous nous inspirerons des études en géographiequantitative et en économie spatiale et nous revisiterons certains de ces anciens modèles avec une nouvelle approche intégrant les outils et concepts de la physique
More than 50 % of the world population lives in urban areas and this proportion is expected to increase in the coming decades. Understanding what governs the evolution of urban systems has thus become of paramount importance.This renewed interest combined with the availability of large-scale data, allows a glimpse into the dawn of a new science of cities, interdisciplinary and based on data.Recent studies have shown the existence of statistical regularities and scaling laws for several socio-economic indicators such as fuel consumption, average commuting distance, cost of infrastructure, etc., and despite several recent attempts, the theoretical understanding of these results empirically observed remains very partial. The purpose of this thesis is to obtain a simplified, out of equilibrium model of urban growth, based on a small number of important mechanisms and which provides quantitative predictions in agreement with empirical data. For this, we will draw on studies in quantitative geography and spatial economy and we will revisit some of these old models with a new approach that integrates the tools and concepts of physics
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Case, Denise Marie. "Engineering complex systems with multigroup agents." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/19045.

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Doctor of Philosophy
Computing and Information Sciences
Scott A. DeLoach
As sensor prices drop and computing devices continue to become more compact and powerful, computing capabilities are being embedded throughout our physical environment. Connecting these devices in cyber-physical systems (CPS) enables applications with significant societal impact and economic benefit. However, engineering CPS poses modeling, architecture, and engineering challenges and, to fully realize the desired benefits, many outstanding challenges must be addressed. For the cyber parts of CPS, two decades of work in the design of autonomous agents and multiagent systems (MAS) offers design principles for distributed intelligent systems and formalizations for agent-oriented software engineering (AOSE). MAS foundations offer a natural fit for enabling distributed interacting devices. In some cases, complex control structures such as holarchies can be advantageous. These can motivate complex organizational strategies when implementing such systems with a MAS, and some designs may require agents to act in multiple groups simultaneously. Such agents must be able to manage their multiple associations and assignments in a consistent and unambiguous way. This thesis shows how designing agents as systems of intelligent subagents offers a reusable and practical approach to designing complex systems. It presents a set of flexible, reusable components developed for OBAA++, an organization-based architecture for single-group MAS, and shows how these components were used to develop the Adaptive Architecture for Systems of Intelligent Systems (AASIS) to enable multigroup agents suitable for complex, multigroup MAS. This work illustrates the reusability and flexibility of the approach by using AASIS to simulate a CPS for an intelligent power distribution system (IPDS) operating two multigroup MAS concurrently: one providing continuous voltage control and a second conducting discrete power auctions near sources of distributed generation.
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Books on the topic "029902 Complex Physical Systems"

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Deuschel, Jean-Dominique, Barbara Gentz, Wolfgang König, Max von Renesse, Michael Scheutzow, and Uwe Schmock, eds. Probability in Complex Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23811-6.

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Takayama, Hajime, ed. Cooperative Dynamics in Complex Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74554-6.

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McGann, C. P. Towards generality in modelling complex physical systems. Dublin: Trinity College, Department of Computer Science, 1992.

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Duindam, Vincent, Alessandro Macchelli, Stefano Stramigioli, and Herman Bruyninckx. Modeling and Control of Complex Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03196-0.

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Manneville, Paul, Nino Boccara, Gérard Y. Vichniac, and Roger Bidaux, eds. Cellular Automata and Modeling of Complex Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-75259-9.

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Center), Homeokinetics Conference (1998 Thomas Dodd Research. Primer for homeokinetics: A physical foundation for complex systems. Laguna Hills, Ca: Cri-de-Coeur Press, 1998.

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1948-, Coffey William, and Kalmykov Yu P, eds. Fractals, diffusion and relaxation in disordered complex systems. Hoboken, N.J: Wiley, 2006.

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NATO Advanced Research Workshop on Relaxation in Complex Systems and Related Topics (1989 Turin, Italy). Relaxation in complex systems and related topics. New York: Plenum Press, 1990.

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Machado, J. A. Tenreiro. Nonlinear and complex dynamics: Applications in physical, biological, and financial systems. New York: Springer, 2011.

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Gaylord, Richard J. Computer simulations with Mathematica: Explorations in complex physical and biological systems. Santa Clara, Calif: Springer-Verlag TELOS, 1995.

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Book chapters on the topic "029902 Complex Physical Systems"

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Wang, Jay, and Adam Wang. "Complex Systems." In Introduction to Computation in Physical Sciences, 203–32. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17646-3_9.

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Iordache, Octavian. "Physical and Chemical Systems." In Understanding Complex Systems, 63–139. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10654-5_3.

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Elmqvist, H., S. E. Mattsson, M. Otter, and K. J. Åström. "Modeling Complex Physical Systems." In Control of Complex Systems, 21–38. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0349-3_2.

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Kopetz, Hermann. "Cyber-Physical Systems Are Different." In Simplicity is Complex, 69–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20411-2_6.

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Huggett, Richard J. "Simple and Complex Systems." In Springer Series in Physical Environment, 17–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82496-8_2.

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Iordache, Octavian. "Self-Evolvability for Physical and Chemical Systems." In Understanding Complex Systems, 65–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28882-1_5.

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Haken, Hermann. "The Brain as a Synergetic and Physical System." In Understanding Complex Systems, 147–63. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27635-9_10.

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Ye, Fred Y. "A Clifford-Finslerian Physical Unification and Fractal Dynamics." In Understanding Complex Systems, 47–56. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5936-0_4.

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Fisher, Amit, Clas A. Jacobson, Edward A. Lee, Richard M. Murray, Alberto Sangiovanni-Vincentelli, and Eelco Scholte. "Industrial Cyber-Physical Systems – iCyPhy." In Complex Systems Design & Management, 21–37. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02812-5_2.

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Tokody, Dániel, József Papp, László Barna Iantovics, and Francesco Flammini. "Complex, Resilient and Smart Systems." In Resilience of Cyber-Physical Systems, 3–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95597-1_1.

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Conference papers on the topic "029902 Complex Physical Systems"

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Wlassova, L. N. "Network data base of physical technologies." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386859.

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Bujorianu, Manuela L., and Robert S. MacKay. "Complex systems techniques for cyber-physical systems." In the 4th ACM SIGBED International Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2593458.2593460.

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Belić, A. "Large-scale simulations of complex physical systems." In SIXTH INTERNATIONAL CONFERENCE OF THE BALKAN PHYSICAL UNION. AIP, 2007. http://dx.doi.org/10.1063/1.2733047.

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Torkelson, John M., Rodney D. Priestley, Perla Rittigstein, Manish K. Mundra, Connie B. Roth, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Novel Effects of Confinement and Interfaces on the Glass Transition Temperature and Physical Aging in Polymer Films and Nanocomposites." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897781.

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van der Schaft, A. J., and R. V. Polyuga. "Structure-preserving model reduction of complex physical systems." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5399669.

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Hansen, Robert J., and Eric W. Hendricks. "Active Control of Complex Physical Systems: An Overview." In ASME 1992 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/92-gt-035.

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Active control of complex systems imposes unique requirements for physical models and feedback control strategies. Physical models which are adequate to predict the influence of actuators must be coupled with feedback control approaches suitable for use when system characteristics are incompletely specified a priori and change with time. The present paper describes laboratory scale experiments in which turbomachinery surge and stall and combustion instabilities are successfully attenuated by active means. Work which has been conducted in parallel to develop improved models and control strategies to realize fault tolerant active control of such systems in the full scale operational environment is also discussed.
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Chen, Haifeng, Mizoguchi Takehiko, Yan Tan, Kai Zhang, and Geoff Jiang. "A Quality Control Engine for Complex Physical Systems." In 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2015. http://dx.doi.org/10.1109/dsn.2015.25.

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Cirac, J. I. "Quantum Computation: Basic Concepts and Physical Implementations." In MODELING OF COMPLEX SYSTEMS: Seventh Granada Lectures. AIP, 2003. http://dx.doi.org/10.1063/1.1571317.

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Indei, Tsutomu. "Analysis of Shear-Thickening in Physical Gel by Transient Network Theory." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764121.

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Chen, Wenqi, and Lichen Zhang. "Physical and cyber convergence approach to design future complex aviation cyber physical systems." In 2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2015. http://dx.doi.org/10.1109/icsess.2015.7339116.

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Reports on the topic "029902 Complex Physical Systems"

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Willcox, K., D. Allaire, J. Deyst, C. He, and G. Sondecker. Stochastic Process Decision Methods for Complex-Cyber-Physical Systems. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada552217.

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Marzouk, Youssef M., Chi Feng, and Xun Huan. Model-Based Optimal Experimental Design for Complex Physical Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ada627240.

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Clark, Matthew, Xenofon Koutsoukos, Joseph Porter, Ratnesh Kumar, George Pappas, Oleg Sokolsky, Insup Lee, and Lee Pike. A Study on Run Time Assurance for Complex Cyber Physical Systems. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada585474.

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Saptsin, Vladimir, and Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], July 2009. http://dx.doi.org/10.31812/0564/1134.

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This work deals with the new, relativistic direction in quantum econophysics, within the bounds of which a change of the classical paradigms in mathematical modelling of socio-economic system is offered. Classical physics proceeds from the hypothesis that immediate values of all the physical quantities, characterizing system’s state, exist and can be accurately measured in principle. Non-relativistic quantum mechanics does not reject the existence of the immediate values of the classical physical quantities, nevertheless not each of them can be simultaneously measured (the uncertainty principle). Relativistic quantum mechanics rejects the existence of the immediate values of any physical quantity in principle, and consequently the notion of the system state, including the notion of the wave function, which becomes rigorously nondefinable. The task of this work consists in econophysical analysis of the conceptual fundamentals and mathematical apparatus of the classical physics, relativity theory, non-relativistic and relativistic quantum mechanics, subject to the historical, psychological and philosophical aspects and modern state of the socio-economic modeling problem. We have shown that actually and, virtually, a long time ago, new paradigms of modeling were accepted in the quantum theory, within the bounds of which the notion of the physical quantity operator becomes the primary fundamental conception(operator is a mathematical image of the procedure, the action), description of the system dynamics becomes discrete and approximate in its essence, prediction of the future, even in the rough, is actually impossible when setting aside the aftereffect i.e. the memory. In consideration of the analysis conducted in the work we suggest new paradigms of the economical-mathematical modeling.
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Marzouk, Youssef. Final Report, DOE Early Career Award: Predictive modeling of complex physical systems: new tools for statistical inference, uncertainty quantification, and experimental design. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1312896.

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Crawford, Daniel. "Structure and dynamics in complex chemical systems: Gaining new insights through recent advances in time-resolved spectroscopies.” ACS Division of Physical Chemistry Symposium presented at the Fall National ACS Meeting in Boston, MA, August 2015. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1326393.

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Соловйов, Володимир Миколайович, V. Saptsin, and D. Chabanenko. Financial time series prediction with the technology of complex Markov chains. Transport and Telecommunication Institute, 2010. http://dx.doi.org/10.31812/0564/1145.

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In this research the technology of complex Markov chains, i.e. Markov chains with a memory is applied to forecast financial time-series. The main distinction of complex or high-order Markov chains [1] and simple first-order ones is the existing of after effect or memory. The high-order Markov chains can be simplified to first-order ones by generalizing the states in Markov chains. Considering the “generalized state” as the sequence of states makes a possibility to model high-order Markov chains like first-order ones. The adaptive method of defining the states is proposed, it is concerned with the statistic properties of price returns [2]. According to the fundamental principles of quantum measurement theories, the measurement procedure impacts not only on the result of the measurement, but also on the state of the measured system, and the behaviour of this system in the future remains undefined, despite of the precision of the measurement. This statement, in our opinion, is general and is true not only for physical systems, but to any complex systems [3].
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Brenan, J. M., K. Woods, J. E. Mungall, and R. Weston. Origin of chromitites in the Esker Intrusive Complex, Ring of Fire Intrusive Suite, as revealed by chromite trace element chemistry and simple crystallization models. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328981.

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To better constrain the origin of the chromitites associated with the Esker Intrusive Complex (EIC) of the Ring of Fire Intrusive Suite (RoFIS), a total of 50 chromite-bearing samples from the Black Thor, Big Daddy, Blackbird, and Black Label chromite deposits have been analysed for major and trace elements. The samples represent three textural groups, as defined by the relative abundance of cumulate silicate phases and chromite. To provide deposit-specific partition coefficients for modeling, we also report on the results of laboratory experiments to measure olivine- and chromite-melt partitioning of V and Ga, which are two elements readily detectable in the chromites analysed. Comparison of the Cr/Cr+Al and Fe/Fe+Mg of the EIC chromites and compositions from previous experimental studies indicates overlap in Cr/Cr+Al between the natural samples and experiments done at >1400oC, but significant offset of the natural samples to higher Fe/Fe+Mg. This is interpreted to be the result of subsolidus Fe-Mg exchange between chromite and the silicate matrix. However, little change in Cr/Cr+Al from magmatic values, owing to the lack of an exchangeable reservoir for these elements. A comparison of the composition of the EIC chromites and a subset of samples from other tectonic settings reveals a strong similarity to chromites from the similarly-aged Munro Township komatiites. Partition coefficients for V and Ga are consistent with past results in that both elements are compatible in chromite (DV = 2-4; DGa ~ 3), and incompatible in olivine (DV = 0.01-0.14; DGa ~ 0.02), with values for V increasing with decreasing fO2. Simple fractional crystallization models that use these partition coefficients are developed that monitor the change in element behaviour based on the relative proportions of olivine to chromite in the crystallizing assemblage; from 'normal' cotectic proportions involving predominantly olivine, to chromite-only crystallization. Comparison of models to the natural chromite V-Ga array suggests that the overall positive correlation between these two elements is consistent with chromite formed from a Munro Township-like komatiitic magma crystallizing olivine and chromite in 'normal' cotectic proportions, with no evidence of the strong depletion in these elements expected for chromite-only crystallization. The V-Ga array can be explained if the initial magma responsible for chromite formation is slightly reduced with respect to the FMQ oxygen buffer (~FMQ- 0.5), and has assimilated up to ~20% of wall-rock banded iron formation or granodiorite. Despite the evidence for contamination, results indicate that the EIC chromitites crystallized from 'normal' cotectic proportions of olivine to chromite, and therefore no specific causative link is made between contamination and chromitite formation. Instead, the development of near- monomineralic chromite layers likely involves the preferential removal of olivine relative to chromite by physical segregation during magma flow. As suggested for some other chromitite-forming systems, the specific fluid dynamic regime during magma emplacement may therefore be responsible for crystal sorting and chromite accumulation.
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Perdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, September 2021. http://dx.doi.org/10.46337/210930.

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Disruptive socio-natural transformations and climatic change, where system invariants and symmetries break down, defy the traditional complexity paradigms such as machine learning and artificial intelligence. In order to overcome this, we introduced non-ergodic Information Physics, bringing physical meaning to inferential metrics, and a coevolving flexibility to the metrics of information transfer, resulting in new methods for causal discovery and attribution. With this in hand, we develop novel dynamic models and analysis algorithms natively built for quantum information technological platforms, expediting complex system computations and rigour. Moreover, we introduce novel quantum sensing technologies in our Meteoceanics satellite constellation, providing unprecedented spatiotemporal coverage, resolution and lead, whilst using exclusively sustainable materials and processes across the value chain. Our technologies bring out novel information physical fingerprints of extreme events, with recently proven records in capturing early warning signs for extreme hydro-meteorologic events and seismic events, and do so with unprecedented quantum-grade resolution, robustness, security, speed and fidelity in sensing, processing and communication. Our advances, from Earth to Space, further provide crucial predictive edge and added value to early warning systems of natural hazards and long-term predictions supporting climatic security and action.
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Chamovitz, Daniel, and Albrecht Von Arnim. Translational regulation and light signal transduction in plants: the link between eIF3 and the COP9 signalosome. United States Department of Agriculture, November 2006. http://dx.doi.org/10.32747/2006.7696515.bard.

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The COP9 signalosome (CSN) is an eight-subunit protein complex that is highly conserved among eukaryotes. Genetic analysis of the signalosome in the plant model species Arabidopsis thaliana has shown that the signalosome is a repressor of light dependent seedling development as mutant Arabidopsis seedlings that lack this complex develop in complete darkness as if exposed to light. These mutant plants die following the seedling stage, even when exposed to light, indicating that the COP9 signalosome also has a central role in the regulation of normal photomorphogenic development. The biochemical mode of action of the signalosome and its position in eukaryotic cell signaling pathways is a matter of controversy and ongoing investigation, and recent results place the CSN at the juncture of kinase signaling pathways and ubiquitin-mediated protein degradation. We have shown that one of the many CSN functions may relate to the regulation of translation through the interaction of the CSN with its related complex, eukaryotic initiation factor (eIF3). While we have established a physical connection between eIF3 subunits and CSN subunits, the physiological and developmental significance of this interaction is still unknown. In an effort to understand the biochemical activity of the signalosome, and its role in regulating translation, we originally proposed to dissect the contribution of "h" subunit of eIF3 (eIF3h) along the following specific aims: (i) Isolation and phenotypic characterization of an Arabidopsis loss-of-function allele for eIF3h from insertional mutagenesis libraries; (ii) Creation of designed gain and loss of function alleles for eIF3h on the basis of its nucleocytoplasmic distribution and its yeast-two-hybrid interactions with other eIF3 and signalosome partner proteins; (iii) Determining the contribution of eIF3h and its interaction with the signalosome by expressing specific mutants of eIF3h in the eIF3h- loss-of function background. During the course of the research, these goals were modified to include examining the genetic interaction between csn and eif3h mutations. More importantly, we extended our effort toward the genetic analysis of mutations in the eIF3e subunit, which also interacts with the CSN. Through the course of this research program we have made several critical scientific discoveries, all concerned with the apparent diametrically opposed roles of eIF3h and eIF3e. We showed that: 1) While eIF3e is essential for growth and development, eIF3h is not essential for growth or basal translation; 2) While eIF3e has a negative role in translational regulation, eIF3h is positively required for efficient translation of transcripts with complex 5' UTR sequences; 3) Over-accumulation of eIF3e and loss-of-function of eIF3h both lead to cop phenotypes in dark-grown seedlings. These results were published in one publication (Kim et al., Plant Cell 2004) and in a second manuscript currently in revision for Embo J. Are results have led to a paradigm shift in translation research – eIF3 is now viewed in all systems as a dynamic entity that contains regulatory subuits that affect translational efficiency. In the long-term agronomic outlook, the proposed research has implications that may be far reaching. Many important plant processes, including developmental and physiological responses to light, abiotic stress, photosynthate, and hormones operate in part by modulating protein translation [23, 24, 40, 75]. Translational regulation is slowly coming of age as a mechanism for regulating foreign gene expression in plants, beginning with translational enhancers [84, 85] and more recently, coordinating the expression of multiple transgenes using internal ribosome entry sites. Our contribution to understanding the molecular mode of action of a protein complex as fundamental as eIF3 is likely to lead to advances that will be applicable in the foreseeable future.
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