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Academic literature on the topic 'Criticality'

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Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Criticality"

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Senthil, Todadri, Leon Balents, Subir Sachdev, Ashvin Vishwanath, and Matthew P. A. Fisher. "Deconfined Criticality Critically Defined." Journal of the Physical Society of Japan 74, Suppl (January 2005): 1–9. http://dx.doi.org/10.1143/jpsjs.74s.1.

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Banegas, Darío Luis, and Luis S. Villacañas de Castro. "Criticality." ELT Journal 70, no. 4 (June 13, 2016): 455–57. http://dx.doi.org/10.1093/elt/ccw048.

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Sornette, Didier, Anders Johansen, and Ivan Dornic. "Mapping Self-Organized Criticality onto Criticality." Journal de Physique I 5, no. 3 (March 1995): 325–35. http://dx.doi.org/10.1051/jp1:1995129.

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Willinger, W., R. Govindan, S. Jamin, V. Paxson, and S. Shenker. "Scaling phenomena in the Internet: Critically examining criticality." Proceedings of the National Academy of Sciences 99, Supplement 1 (February 19, 2002): 2573–80. http://dx.doi.org/10.1073/pnas.012583099.

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Huang, Y., H. Saleur, C. Sammis, and D. Sornette. "Precursors, aftershocks, criticality and self-organized criticality." Europhysics Letters (EPL) 41, no. 1 (January 1, 1998): 43–48. http://dx.doi.org/10.1209/epl/i1998-00113-x.

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Zimmer, Markus Philipp, Polyxeni Vassilakopoulou, Miria Grisot, and Marko Niemimaa. "Criticality and Values in Digital Transformation Research: Insights from a Workshop." Communications of the Association for Information Systems 53, no. 1 (2023): 964–83. http://dx.doi.org/10.17705/1cais.05341.

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Digital transformation can positively or negatively contribute to societies, organizations, and individuals depending on the values inscribed in the underlying digital technologies. This highlights the importance for researchers to critically examine digital technologies’ value inscriptions, how technology use enacts these values and the bearing of these values on research. This paper draws on the pre-ICIS 2022 IFIP 8.2 OASIS workshop on “Criticality and Values in Digital Transformation Research" to highlight four ways researchers can practice criticality, that is, how they can identify and reflect on the values that underlie digital phenomena. The types of criticality are phenomenon-based, method-based, theory-based, and self-reflexive criticality. Criticality alone does not constitute critical social research. However, criticality sensitizes researchers to consciously engage with values, which can feed into critical research’s elements of insight, critique, and transformation. Criticality can inform insight by surfacing values; providing the basis for critique by confronting readers with alternative values; and supporting transformation by proposing alternative value inscriptions. Hence, we take criticality as pivotal for understanding how digital transformation can contribute to building a better world and we invite the IS community to practice and discuss criticality, values, and reflexivity to drive positive change.
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Stajic, Jelena. "Pervasive criticality." Science 372, no. 6545 (May 27, 2021): 929.3–929. http://dx.doi.org/10.1126/science.372.6545.929-c.

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Drummond, P. D., S. Chaturvedi, K. Dechoum, and J. Comey. "Quantum Criticality." Zeitschrift für Naturforschung A 56, no. 1-2 (February 1, 2001): 133–39. http://dx.doi.org/10.1515/zna-2001-0120.

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Abstract We investigate the theory of quantum fluctuations in non-equilibrium systems having large crit­ical fluctuations. This allows us to treat the limits imposed by nonlinearities to quantum squeezing and noise reduction, and also to envisage future tests of quantum theory in regions of macroscopic quantum fluctuations. A long-term objective of this research is to identify suitable physical sys­tems in which macroscopic 'Schrödinger cat'-like behaviour may be observed. We investigate two systems in particular of much current experimental interest, namely the degenerate parametric oscillator near threshold, and the evaporatively cooled (BEC). We compare the results obtained in the positive-P representation, as a fully quantum mechanical calculation, with the truncated Wigner phase space equation, also known as semi-classical theory. We show when these results agree and differ in calculations taken beyond the linearized approximation. In the region where the largest quantum fluctuations and Schrödinger cat-like behaviour might be expected, we find that the quantum predictions correspond very closely to the semi-classical theory. Nature abhors observing a Schrödinger cat. -Pacs: 03.65.Bz
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Coleman, Piers, and Andrew J. Schofield. "Quantum criticality." Nature 433, no. 7023 (January 2005): 226–29. http://dx.doi.org/10.1038/nature03279.

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Cantarella, Jason, Joseph H. G. Fu, Robert B. Kusner, and John M. Sullivan. "Ropelength criticality." Geometry & Topology 18, no. 4 (October 2, 2014): 1973–2043. http://dx.doi.org/10.2140/gt.2014.18.1973.

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Dissertations / Theses on the topic "Criticality"

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Di, Laudo Umberto. "Deconfined quantum criticality." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25125/.

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In this work it is studied a type of quantum phase transitions beyond the Landau-Ginzburg-Wilson (LGW) paradigm. In particular it is described a second order transition between the Nèel and the Valence Bond Solid (VBS) states for a two dimensional quantum square lattice with antiferromagnetic interactions. The natural description of this critical theory is not given in terms of the order parameter, but in terms of an emergent gauge field which mediates interactions between "fractional" particles. These particles are confined on either sides of the transition, while they emerge at the critical point, that is thus called "deconfined". This critical theory corresponds to that of a 3D classical O(3) model with monopoles suppressed. In the second part of this work, this model is numerically simulated by using Monte Carlo methods, and its critical exponents are obtained.
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Vanni, Fabio. "Criticality in Cooperative Systems." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc271910/.

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Cooperative behavior arises from the interactions of single units that globally produce a complex dynamics in which the system acts as a whole. As an archetype I refer to a flock of birds. As a result of cooperation the whole flock gets special abilities that the single individuals would not have if they were alone. This research work led to the discovery that the function of a flock, and more in general, that of cooperative systems, surprisingly rests on the occurrence of organizational collapses. In this study, I used cooperative systems based on self-propelled particle models (the flock models) which have been proved to be virtually equivalent to sociological network models mimicking the decision making processes (the decision making model). The critical region is an intermediate condition between a highly disordered state and a strong ordered one. At criticality the waiting times distribution density between two consecutive collapses shows an inverse power law form with an anomalous statistical behavior. The scientific evidences are based on measures of information theory, correlation in time and space, and fluctuation statistical analysis. In order to prove the benefit for a system to live at criticality, I made a flock system interact with another similar system, and then observe the information transmission for different disturbance values. I proved that at criticality the transfer of information gets the maximal efficiency. As last step, the flock model has been shown that, despite its simplicity, is sufficiently a realistic model as proved via the use of 3D simulations and computer animations.
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Stiansen, Einar B. "Criticality in Quantum Dissipative Systems." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for fysikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17475.

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This thesis consists of five scientific papers in the field of condensed matter physics. In all papers we employ large scale Monte Carlo simulations to investigate quantum critical behavior in systems coupled to an environment. Special attention is paid to possible anisotropies between spatial fluctuations and fluctuations in imaginary time. Implications of the results to the loop current theory of cuprates are discussed.
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Pruessner, Gunnar. "Studies in self-organised criticality." Thesis, Imperial College London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407087.

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Iberti, Massimo. "Ising-Kac models near criticality." Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/109480/.

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The present thesis consists in an investigation around the result shown by H. Weber and J.C. Mourrat in [MW17a], where the authors proved that the fluctuation of an Ising models with Kac interaction under a Glauber-type dynamic on a periodic two-dimensional discrete torus near criticality converge to the solution of the Stochastic Quantization Equation Φ 4/2. In Chapter 2, starting from a conjecture in [SW16], we show the robustness of the method proving the convergence in law of the fluctuation field for a general class of ferromagnetic spin models with Kac interaction undergoing a Glauber dynamic near critical temperature. We show that the limiting law solves an SPDE that depends heavily on the state space of the spin system and, as a consequence of our method, we construct a spin system whose dynamical fluctuation field converges to Φ 2n/2. In Chapter 3 we apply an idea by H. Weber and P. Tsatsoulis employed in [TW16], to show tightness for the sequence of magnetization fluctuation fields of the Ising-Kac model on a periodic two-dimensional discrete torus near criticality and characterise the law of the limit as the Φ 4/2 measure on the torus. This result is not an immediate consequence of [MW17a]. In Chapter 4 we study the fluctuations of the magnetization field of the Ising-Kac model under the Kawasaki dynamic at criticality in a one dimensional discrete torus, and we provide some evidence towards the convergence in law to the solution to the Stochastic Cahn-Hilliard equation.
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Boonzaaier, Leandro. "Self-organised criticality and seismicity." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/53047.

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Thesis (MSc)--Stellenbosch University, 2002.
ENGLISH ABSTRACT: In this thesis we give an overview of self-organised criticality and its application to studying seismicity. We recall some of the basic models and techniques for studying self-organised critical systems. We discuss one of these, the sandpile model, in detail and show how various properties of the model can be calculated using a matrix formulation thereof. A correspondence between self-organised critical systems and seismicity is then proposed. Finally, we consider the timeevolution of the sandpile model by using a time-to-failure analysis, originally developed in the study of seismicity and obtain results for the sandpile model that show similarities with that of the analyses of seismic data.
AFRIKAANSE OPSOMMING: In hierdie tesis gee ons 'n oorsig van self-organiserende kritikaliteit en die toepassing daarvan in die studie van seismisiteit. Ons beskryf die basiese modelle en tegnieke vir die studie van self-organiserende kritiese sisteme. Ons bespreek een van hierdie, die sandhoopmodel, in besonderheid en wys hoe om verskeie eienskappe van die model te bereken deur gebruik te maak van 'n matriks-formulering daarvan. Ons stel dan 'n korrespondensie tussen self-organiserende kritiese sisteme en seismisiteit voor. Ter afsluiting ondersoek ons die tydontwikkeling van die sand hoopmodel deur gebruik te maak van 'n deurbreektyd analise wat oorspronklik in die bestudering seismiese data ontwikkel is. Die resultate vir die analise van die sandhoopmodel toon ooreenkomste met dit wat verkry word vir seismiese data.
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Kahil, Rany. "Schedulability in Mixed-criticality Systems." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM023/document.

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Les systèmes temps-réel critiques doivent exécuter leurs tâches dans les délais impartis. En cas de défaillance, des événements peuvent avoir des catastrophes économiques. Des classifications des défaillances par rapport aux niveaux des risques encourus ont été établies, en particulier dans les domaines des transports aéronautique et automobile. Des niveaux de criticité sont attribués aux différentes fonctions des systèmes suivant les risques encourus lors d'une défaillance et des probabilités d'apparition de celles-ci. Ces différents niveaux de criticité influencent les choix d'architecture logicielle et matérielle ainsi que le type de composants utilisés pour sa réalisation. Les systèmes temps-réels modernes ont tendance à intégrer sur une même plateforme de calcul plusieurs applications avec différents niveaux de criticité. Cette intégration est nécessaire pour des systèmes modernes comme par exemple les drones (UAV) afin de réduire le coût, le poids et la consommation d'énergie. Malheureusement, elle conduit à des difficultés importantes lors de leurs conceptions. En plus, ces systèmes doivent être certifiés en prenant en compte ces différents niveaux de criticités.Il est bien connu que le problème d'ordonnancement des systèmes avec différents niveaux de criticités représente un des plus grand défi dans le domaine de systèmes temps-réel. Les techniques traditionnelles proposent comme solution l’isolation complète entre les niveaux de criticité ou bien une certification globale au plus haut niveau. Malheureusement, une telle solution conduit à une mauvaise des ressources et à la perte de l’avantage de cette intégration. En 2007, Vestal a proposé un modèle pour représenter les systèmes avec différents niveaux de criticité dont les tâches ont plusieurs temps d’exécution, un pour chaque niveau de criticité. En outre, les conditions de validité des stratégies d’ordonnancement ont été définies de manière formelle, permettant ainsi aux tâches les moins critiques d’échapper aux délais, voire d’être abandonnées en cas de défaillance ou de situation d’urgence.Les politiques de planification conventionnelles et les tests d’ordonnoncement se sont révélés inadéquats.Dans cette thèse, nous contribuons à l’étude de l’ordonnancement dans les systèmes avec différents niveaux de criticité. La surcharge d'un système est représentée sous la forme d'un ensemble de tâches pouvant décrire l'exécution sur l'hyper-période de tâches ou sur une durée donnée. Ce modèle nous permet d’étudier la viabilité des tests de correction basés sur la simulation pour les systèmes avec différents niveaux de criticité. Nous montrons que les tests de simulation peuvent toujours être utilisés pour ces systèmes, et la possibilité de l’ordonnancement du pire des scénarios ne suffit plus, même pour le cas de l’ordonnancement avec priorité fixe. Nous montrons que les politiques d'ordonnancement ne sont généralement pas prévisibles. Nous définissons le concept de faible prévisibilité pour les systèmes avec différents niveaux de criticité et nous montrons ensuite qu'une classe spécifique de stratégies à priorité fixe sont faiblement prévisibles. Nous proposons deux tests de correction basés sur la simulation qui fonctionnent pour des stratégies faiblement prévisibles.Nous montrons également que, contrairement à ce que l’on croyait, le contrôle de l’exactitude ne peut se faire que par l’intermédiaire d’un nombre linéaire de préemptions.La majorité des travaux reliés à notre domaine portent sur des systèmes à deux niveaux de criticité en raison de la difficulté du problème. Mais pour les systèmes automobiles et aériens, les normes industrielles définissent quatre ou cinq niveaux de criticité, ce qui nous a motivés à proposer un algorithme de planification qui planifie les systèmes à criticité mixte avec théoriquement un nombre quelconque de niveaux de criticité. Nous montrons expérimentalement que le taux de réussite est supérieur à celui de l’état de la technique
Real-time safety-critical systems must complete their tasks within a given time limit. Failure to successfully perform their operations, or missing a deadline, can have severe consequences such as destruction of property and/or loss of life. Examples of such systems include automotive systems, drones and avionics among others. Safety guarantees must be provided before these systems can be deemed usable. This is usually done through certification performed by a certification authority.Safety evaluation and certification are complicated and costly even for smaller systems.One answer to these difficulties is the isolation of the critical functionality. Executing tasks of different criticalities on separate platforms prevents non-critical tasks from interfering with critical ones, provides a higher guaranty of safety and simplifies the certification process limiting it to only the critical functions. But this separation, in turn, introduces undesirable results portrayed by an inefficient resource utilization, an increase in the cost, weight, size and energy consumption which can put a system in a competitive disadvantage.To overcome the drawbacks of isolation, Mixed Criticality (MC) systems can be used. These systems allow functionalities with different criticalities to execute on the same platform. In 2007, Vestal proposed a model to represent MC-systems where tasks have multiple Worst Case Execution Times (WCETs), one for each criticality level. In addition, correctness conditions for scheduling policies were formally defined, allowing lower criticality jobs to miss deadlines or be even dropped in cases of failure or emergency situations.The introduction of multiple WCETs and different conditions for correctness increased the difficulty of the scheduling problem for MC-systems. Conventional scheduling policies and schedulability tests proved inadequate and the need for new algorithms arose. Since then, a lot of work has been done in this field.In this thesis, we contribute to the study of schedulability in MC-systems. The workload of a system is represented as a set of jobs that can describe the execution over the hyper-period of tasks or over a duration in time. This model allows us to study the viability of simulation-based correctness tests in MC-systems. We show that simulation tests can still be used in mixed-criticality systems, but in this case, the schedulability of the worst case scenario is no longer sufficient to guarantee the schedulability of the system even for the fixed priority scheduling case. We show that scheduling policies are not predictable in general, and define the concept of weak-predictability for MC-systems. We prove that a specific class of fixed priority policies are weakly predictable and propose two simulation-based correctness tests that work for weakly-predictable policies.We also demonstrate that contrary to what was believed, testing for correctness can not be done only through a linear number of preemptions.The majority of the related work focuses on systems of two criticality levels due to the difficulty of the problem. But for automotive and airborne systems, industrial standards define four or five criticality levels, which motivated us to propose a scheduling algorithm that schedules mixed-criticality systems with theoretically any number of criticality levels. We show experimentally that it has higher success rates compared to the state of the art.We illustrate how our scheduling algorithm, or any algorithm that generates a single time-triggered table for each criticality mode, can be used as a recovery strategy to ensure the safety of the system in case of certain failures.Finally, we propose a high level concurrency language and a model for designing an MC-system with coarse grained multi-core interference
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Pueyo, Puntí Salvador. "Irreversibility and Criticality in the Biosphere." Doctoral thesis, Universitat de Barcelona, 2003. http://hdl.handle.net/10803/1421.

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This work is the result of a search for general (or nearly general) regularities at ecosystem level, and an exploration of their practical relevance in our relations with the environment.
I began by adding some new contributions to the thermodynamic approach to systemic ecology, but concluded that there is little scope for further progress of strictly ecological interest with this orientation. Instead, the key for a systemic ecology seems to lie in the "large number" effects that arise at the limit of many organisms and/or species, just like the whole scientific body of statistical physics stands on the general features that emerge at the limit of many particles. The concept of criticality seems to have a special importance within this context (criticality is the quality of lying at the critical point in which there is a second order phase transition).

Some specific issues that I analyze in depth, taking advantage of the concept of criticality and other concepts related to statistical physics, are:

·Wildland fire dynamics. Practical tools to predict and manage fire in boreal forests and in the Mediterranean. Limits to anthropogenic impacts on tropical rainforests before a major fire catastrophe unfolds. The possible generalization of the findings on wildland fires to other kinds of catastrophes, with emphasis on agricultural pests and epidemics.

· Diversity patterns. The origin of species abundance distributions and species-area relations. Their interpretation (and misinterpretation). The case of marine phytoplankton. The quantification of diversity for conservation purposes.

· The effects of diversity on stability. The sources of the apparent inconsistencies between theoretical models, both historical and current, and between theoretical expectations and some experimental results.

I conclude with a discussion on the interest of my and other related findings from the point of view of ecological economics.
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Küttler, Martin, Michael Roitzsch, Claude-Joachim Hamann, and Marcus Völp. "Probabilistic Analysis of Low-Criticality Execution." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-233117.

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The mixed-criticality toolbox promises system architects a powerful framework for consolidating real-time tasks with different safety properties on a single computing platform. Thanks to the research efforts in the mixed-criticality field, guarantees provided to the highest criticality level are well understood. However, lower-criticality job execution depends on the condition that all high-criticality jobs complete within their more optimistic low-criticality execution time bounds. Otherwise, no guarantees are made. In this paper, we add to the mixed-criticality toolbox by providing a probabilistic analysis method for low-criticality tasks. While deterministic models reduce task behavior to constant numbers, probabilistic analysis captures varying runtime behavior. We introduce a novel algorithmic approach for probabilistic timing analysis, which we call symbolic scheduling. For restricted task sets, we also present an analytical solution. We use this method to calculate per-job success probabilities for low-criticality tasks, in order to quantify, how low-criticality tasks behave in case of high-criticality jobs overrunning their optimistic low-criticality reservation.
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Hawtin, Benjamin Charles. "Defect criticality of carbon fibre composites." Thesis, University of Bath, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425875.

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Books on the topic "Criticality"

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Plenz, Dietmar, and Ernst Niebur, eds. Criticality in Neural Systems. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527651009.

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Aschwanden, Markus. Self-Organized Criticality in Astrophysics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15001-2.

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Jin, Xi, Changqing Xia, Chi Xu, and Dong Li. Mixed-Criticality Industrial Wireless Networks. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8922-3.

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Lauria, Edoardo. Points, Lines, and Surfaces at Criticality. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25730-9.

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Hergarten, Stefan. Self-Organized Criticality in Earth Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04390-5.

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Knief, Ronald Allen. Nuclear criticality safety: Theory and practice. La Grange Park, Ill., USA: The Society, 1985.

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Newman, M. E. J. Self-organized criticality, evolution, and extinction. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1996.

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M, Hopper C., Broadhead B. L, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Regulatory Applications., and Oak Ridge National Laboratory, eds. An updated nuclear criticality slide rule. Washington, DC: Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1998.

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Society, American Nuclear, and U.S. Nuclear Regulatory Commission., eds. Nuclear criticality safety: Theory and practice. La Grange Park, Ill., USA: The Society, 1991.

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Deegan, Marc James. Reflections on Criticality in Educational Philosophy. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57330-9.

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Book chapters on the topic "Criticality"

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Dervin, Fred. "Criticality (of criticality)." In The Paradoxes of Interculturality, 84–97. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003371052-8.

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de Oliveira, Mário J. "Criticality." In Equilibrium Thermodynamics, 119–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36549-2_8.

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de Oliveira, Mário J. "Criticality." In Equilibrium Thermodynamics, 127–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53207-2_8.

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Lukitsch, Kristof, Marcel Müller, and Chris Stahlhut. "Criticality." In Key Concepts for Critical Infrastructure Research, 11–20. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-22920-7_2.

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Almenas, K., and R. Lee. "Criticality." In Nuclear Engineering, 159–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-48876-4_6.

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da Cunha, Carlo Requião. "Criticality." In Introduction to Econophysics, 147–68. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003127956-6.

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Singley, Paulette. "Criticality." In How to Read Architecture, 130–48. New York, NY: Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429262388-8.

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Watters, Jamie. "Criticality Levels." In Disaster Recovery, Crisis Response, and Business Continuity, 223–24. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6407-1_18.

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Mehta, Jaimini. "Contingent Criticality." In Critiquing the Modern in Architecture, 34–40. New York : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315536729-4.

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Chatterjee, Anuradha. "Ungraspable criticality." In The Routledge Companion to Criticality in Art, Architecture, and Design, 257–77. Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315623412-16.

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Conference papers on the topic "Criticality"

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Du Bois, Kristof, Stijn Eyerman, Jennifer B. Sartor, and Lieven Eeckhout. "Criticality stacks." In the 40th Annual International Symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2485922.2485966.

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Han, Jian-Jun, Xin Tao, Dakai Zhu, and Hakan Aydin. "Criticality-Aware Partitioning for Multicore Mixed-Criticality Systems." In 2016 45th International Conference on Parallel Processing (ICPP). IEEE, 2016. http://dx.doi.org/10.1109/icpp.2016.33.

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Ju, Roy Dz-ching, Alvin R. Lebeck, and Chris Wilkerson. "Locality vs. criticality." In the 28th annual international symposium, edited by Srikanth T. Srinivasan. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/379240.379258.

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Schlender, Henning, Sören Schreiner, Malte Metzdorf, Kim Grüttner, and Wolfgang Nebel. "Teaching Mixed-Criticality." In ESWEEK'15: ELEVENTH EMBEDDED SYSTEM WEEK. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2832920.2832929.

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Casey, Rob, Paul F. Boulos, Chun Hou Orr, and Christopher M. Bros. "Valve Criticality Modeling." In Eighth Annual Water Distribution Systems Analysis Symposium (WDSA). Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40941(247)32.

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SERRA, R., M. VILLANI, C. DAMIANI, A. GRAUDENZI, P. INGRAMI, and A. COLACCI. "INVESTIGATING CELL CRITICALITY." In Proceedings of the International Conference. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812793478_0041.

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Deshmukh, Aniket, and Yale N. Patt. "Criticality Driven Fetch." In MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3466752.3480115.

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Chang, H., E. Shragowitz, J. Liu, H. Youssef, B. Lu, and S. Sutanthavibul. "Net criticality revisited." In the 2002 international symposium. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/505388.505425.

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Muttillo, Vittoriano, Giacomo Valente, and Luigi Pomante. "Criticality-aware Design Space Exploration for Mixed-Criticality Embedded Systems." In ICPE '18: ACM/SPEC International Conference on Performance Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3185768.3185769.

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Huang, Lida, and Renfa Li. "An adaptive mechanism for reducing criticality level in mixed-criticality systems." In 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2015. http://dx.doi.org/10.1109/iaeac.2015.7428598.

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Reports on the topic "Criticality"

1

A. Alsaed. Criticality Model. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/840122.

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Meredith, Austin Dean, and Alan Joseph Yamanaka, Jr. Criticality Safety Standards. Office of Scientific and Technical Information (OSTI), November 2018. http://dx.doi.org/10.2172/1481122.

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Stueve, Robert Wayne. Criticality Accident Response. Office of Scientific and Technical Information (OSTI), January 2020. http://dx.doi.org/10.2172/1597306.

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J.M. Scaglione. Criticality Model Report. Office of Scientific and Technical Information (OSTI), March 2003. http://dx.doi.org/10.2172/859406.

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Lamproe, Juliann. Benchmarking at the National Criticality Experiments Criticality Experiments Research Center (NCERC). Office of Scientific and Technical Information (OSTI), October 2023. http://dx.doi.org/10.2172/2202584.

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Meredith, Austin Dean, and Alan Joseph Yamanaka, Jr. Criticality Accidents Part I. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1471311.

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Meredith, Austin Dean, and Alan Joseph Yamanaka, Jr. Criticality Accidents Part II. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1471312.

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Pruvost, N. L., and H. C. Paxton. Nuclear criticality safety guide. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/399709.

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Karpius, Peter Joseph. Basic Radiation and Criticality. Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1573327.

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McKenzie, George Espy IV. Nuclear Criticality Safety Fundamentals. Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1573994.

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You might also be interested in the extended bibliographies on the topic 'Criticality' for particular source types:
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