Relevant bibliographies by topics / Complex phenomena

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Complex phenomena'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Complex phenomena"

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Poenaru, D. N., R. A. Gherghescu, and W. Greiner. "Complex fission phenomena." Nuclear Physics A 747, no. 2-4 (January 2005): 182–205. http://dx.doi.org/10.1016/j.nuclphysa.2004.09.104.

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Spencer, John. "Language and Complex Phenomena." Australian & New Zealand Journal of Psychiatry 26, no. 3 (September 1992): 515–16. http://dx.doi.org/10.3109/00048679209072081.

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Barash, Vladimir, Christopher Cameron, and Michael Macy. "Critical phenomena in complex contagions." Social Networks 34, no. 4 (October 2012): 451–61. http://dx.doi.org/10.1016/j.socnet.2012.02.003.

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Dorogovtsev, S. N., A. V. Goltsev, and J. F. F. Mendes. "Critical phenomena in complex networks." Reviews of Modern Physics 80, no. 4 (October 6, 2008): 1275–335. http://dx.doi.org/10.1103/revmodphys.80.1275.

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D'Souza, Raissa M., Jesus Gómez-Gardeñes, Jan Nagler, and Alex Arenas. "Explosive phenomena in complex networks." Advances in Physics 68, no. 3 (July 3, 2019): 123–223. http://dx.doi.org/10.1080/00018732.2019.1650450.

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Hancock, P. A. "Finding vigilance through complex explanations for complex phenomena." American Psychologist 69, no. 1 (2014): 86–88. http://dx.doi.org/10.1037/a0035423.

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Yuan, May. "Representing Complex Geographic Phenomena in GIS." Cartography and Geographic Information Science 28, no. 2 (January 2001): 83–96. http://dx.doi.org/10.1559/152304001782173718.

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Anisimov, Mikhail A., Andrei A. Povodyrev, and Jan V. Sengers. "Crossover critical phenomena in complex fluids." Fluid Phase Equilibria 158-160 (June 1999): 537–47. http://dx.doi.org/10.1016/s0378-3812(99)00140-5.

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Quiñones-Cisneros, Sergio E. "Barotropic phenomena in complex phase behaviour." Phys. Chem. Chem. Phys. 6, no. 9 (2004): 2307–13. http://dx.doi.org/10.1039/b316123d.

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Poenaru, D. N., W. Greiner, Y. Nagame, and R. A. Gherghescu. "Nuclear Shapes in Complex Fission Phenomena." Journal of Nuclear and Radiochemical Sciences 3, no. 1 (2002): 43–49. http://dx.doi.org/10.14494/jnrs2000.3.43.

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Dissertations / Theses on the topic "Complex phenomena"

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Heidemann, Ralf. "Dynamical phenomena in complex plasmas." Diss., lmu, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:19-152519.

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Colombini, Giulio. "Synchronisation phenomena in complex neuronal networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23904/.

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The phenomenon of neural synchronisation, a simultaneous and repeated firing of clusters of neurons, underlies many physiological functions and pathological manifestations in the brain of humans and animals, ranging from information encoding to epileptic seizures. Neural synchronisation, as a general phenomenon, can be approached theoretically in the framework of Dynamical Systems on Networks. In the present work, we do so by considering complex networks of FitzHugh-Nagumo model neurons. In the first part we consider the most understood models where each neuron treats its presynaptic neurons all on an equal footing, normalising signals with its in-degree. We study the stability of the synchronous state by devising an algorithm that destabilises it by selecting and removing links from the network, so to obtain a bipartite network. The selection is performed using a perturbative expression, which can be regarded as a specialisation of a previously introduced Spectral Centrality measure. The algorithm is tested on Erdős-Renyi, Watts-Strogatz and Barabási-Albert networks, and its behaviour is assessed from a dynamical and from a structural point of view. In the second part we consider the less studied case in which each neuron divides equally its output among the postsynaptic neurons, so to reproduce schematically the situation where a fixed quantity of neurotransmitter is subdivided between several efferent neurons. In this context a self-consistent approach is formulated and its limitations are explored. In order to extend its application to larger networks, a Mean Field Approximation is presented. The predictivity of the Mean Field Approach is then tested on the different random network models, and the results are discussed in terms of the original network properties.
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Grauwin, Sébastian. "Exploring Social Phenomena with Complex Systems Tools." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2011. http://tel.archives-ouvertes.fr/tel-00662484.

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This thesis explores the problems raised by the aggregation of entities into a global, collective level, an old problem encountered in many fields of science. We work on three projects related to the aggregation problem in social systems, using tools derived from statistical physics, and more generally quantitative tools. The first project focus on a paradigmatic model of the emergence of puzzling macroscopic behavior from simple individual rules, Schelling's segregation model. We hence propose an analytical resolution of this model and we studied analytically and via simulations the effect of several forms of cooperation between individual agents on the collective behavior. These questions are tackled in a mutually beneficial way for both economics and physics. The second project is based on the exploration of huge databases on scientific literature. We hence produce several 'science maps' representing the fields of complex systems (its internal structure and coherence being analysed through the references used by ~140000 relevant articles) and the research carried out in a scientific institution such as the ENS de Lyon. Finally, the third project deals with the elaboration of models of social phenomena based on natural sciences tools but sociologically grounded. We hence present the elaboration process of a model built with a team of sociologists. We then propose an opinion model specifically designed to explore a single question: the existence of lasting structure from non lasting entities.
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Chen, Da. "The visual analysis of complex natural phenomena." Thesis, University of Bath, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.760925.

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Optical flow estimation or dense motion estimation for dynamic natural phenomena (water, smoke, fire, etc.) is a significant open problem in Computer Vision. Assumptions such as brightness constancy cannot be relied upon, as natural phenomena scenes contain lots of non- rigid motion, blurred motion, etc. Current approaches tend to be either general, giving poor results, or else be specialised in one phenomenon and therefore fail to generalise well. The literature would benefit from a general solution, and such a solution could be found useful in a diverse set of application areas. In this thesis, we prove that a skeleton based feature can guide the standard optical flow pipeline to obtain state-of-the-art motion results. We also demonstrate that this result can be applied in different applications such as video segmentation, slow motion, etc. First, we describe an approach to estimating dense motion for dynamic phenomena that is simple and can be extended to a wide range of phenomena. The key to our approach is to replace local assumptions such as brightness constancy with the global assumption in which characteristic topographic maps change subtly. This leads to a global sparse motion estimation, which upgrades to dense estimation for final motion results, as suggested in our experiments, are state-of-the-art. We demonstrate the method using lab-based and consumer-level video obtained from our dataset, public dataset and the Internet. Second, the motion result is applied on a slow motion application which contains fewer artefacts than the state-of-the-art commercial software Adobe AfterEffect 2017 CC. Third, we embed the motion result and the skeleton feature in a video segmentation pipeline and outperform the state-of-the-art video segmentation methods including the method which is specially designed for natural phenomena. Fourth, we introduce a dataset containing two types of sequences i.e., sequences based on a 6-sync cameras system and sequences with 88 different kinds of dynamic textures with a single view camera lab set-up. Fifth, since semi-transparent case often happens in natural phenomena, a closed form solution for layer separation is also proposed.
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Fox, Emily Beth. "Bayesian nonparametric learning of complex dynamical phenomena." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55111.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 257-270).
The complexity of many dynamical phenomena precludes the use of linear models for which exact analytic techniques are available. However, inference on standard nonlinear models quickly becomes intractable. In some cases, Markov switching processes, with switches between a set of simpler models, are employed to describe the observed dynamics. Such models typically rely on pre-specifying the number of Markov modes. In this thesis, we instead take a Bayesian nonparametric approach in defining a prior on the model parameters that allows for flexibility in the complexity of the learned model and for development of efficient inference algorithms. We start by considering dynamical phenomena that can be well-modeled as a hidden discrete Markov process, but in which there is uncertainty about the cardinality of the state space. The standard finite state hidden Markov model (HMM) has been widely applied in speech recognition, digital communications, and bioinformatics, amongst other fields. Through the use of the hierarchical Dirichlet process (HDP), one can examine an HMM with an unbounded number of possible states. We revisit this HDPHMM and develop a generalization of the model, the sticky HDP-HMM, that allows more robust learning of smoothly varying state dynamics through a learned bias towards self-transitions. We show that this sticky HDP-HMM not only better segments data according to the underlying state sequence, but also improves the predictive performance of the learned model. Additionally, the sticky HDP-HMM enables learning more complex, multimodal emission distributions.
(cont.) We demonstrate the utility of the sticky HDP-HMM on the NIST speaker diarization database, segmenting audio files into speaker labels while simultaneously identifying the number of speakers present. Although the HDP-HMM and its sticky extension are very flexible time series models, they make a strong Markovian assumption that observations are conditionally independent given the discrete HMM state. This assumption is often insufficient for capturing the temporal dependencies of the observations in real data. To address this issue, we develop extensions of the sticky HDP-HMM for learning two classes of switching dynamical processes: the switching linear dynamical system (SLDS) and the switching vector autoregressive (SVAR) process. These conditionally linear dynamical models can describe a wide range of complex dynamical phenomena from the stochastic volatility of financial time series to the dance of honey bees, two examples we use to show the power and flexibility of our Bayesian nonparametric approach. For all of the presented models, we develop efficient Gibbs sampling algorithms employing a truncated approximation to the HDP that allows incorporation of dynamic programming techniques, greatly improving mixing rates. In many applications, one would like to discover and model dynamical behaviors which are shared among several related time series. By jointly modeling such sequences, we may more robustly estimate representative dynamic models, and also uncover interesting relationships among activities.
(cont.) In the latter part of this thesis, we consider a Bayesian nonparametric approach to this problem by harnessing the beta process to allow each time series to have infinitely many potential behaviors, while encouraging sharing of behaviors amongst the time series. For this model, we develop an efficient and exact Markov chain Monte Carlo (MCMC) inference algorithm. In particular, we exploit the finite dynamical system induced by a fixed set of behaviors to efficiently compute acceptance probabilities, and reversible jump birth and death proposals to explore new behaviors. We present results on unsupervised segmentation of data from the CMU motion capture database.
by Emily B. Fox.
Ph.D.
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Brink, Adam Ray. "Modeling Complex Contact Phenomena with Nonlinear Beamshells." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1429395652.

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Jefferies, Paul. "Emergent phenomena of complex adaptive systems : financial markets." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427625.

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Willshaw, Stephen Kilgour. "On pattern-switching phenomena in complex elastic structures." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/on-patternswitching-phenomena-in-complex-elastic-structures(d013e89e-c413-4612-a1f7-9fc55739cdfb).html.

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We investigate global pattern-switching effects in 2D cellular solids in which the voids are arranged in a square lattice. Uniaxial compression of these structures triggers an elastic instability which brings about a period-doubling transformation of the void shapes at a critical strain. Specifically, a square array of circular voids forms a pattern of mutually orthogonal ellipses and a similar effect is observed for diamond-shaped voids. The onset of instability is governed by the void fraction and size-effects are found for the experimental samples. We establish empirical laws which characterise the stiffness, strength and stability of cellular structures comprising square arrays of circular voids. A comparison of these with predictions from a discrete model implies underestimation of the resistance of the lattice to buckling, although the size effects are replicated. We find similar pattern-switching effects in the cubic lattice, which is a three-dimensional porous cube. The effect of buckling in this system is to produce a 2D pattern in one plane of voids. In two-phase granular crystals, rearrangement of a square lattice of particles results in a new, period-doubled, structural pattern. This switch can occur via an intermediate phase depending on the size ratio of the particles as shown in experiments and numerical simulations.
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Ruiz, Amador Dolly Natalia. "Multilevel aging phenomena analysis in complex ultimate CMOS designs." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENT002/document.

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L'auteur n'a pas fourni de résumé en français
Integrated circuits evolution is driven by the trend of increasing operating frequencies and downscaling of the device size, while embedding more and more complex functionalities in a single chip. However, the continuation of the device-scaling race generates a number of technology challenges. For instance, the downscaling of transistor channel lengths induce short-channel effects (drain-induced barrier lowering and punch-through phenomena); high electric field in the devices tend to increase Hot electron effect (or Hot Carrier) and Oxide Dielectric Breakdown; higher temperatures in IC products generates an increase of the Negative Bias Temperature Instability (NBTI) effect on pMOS devices. Today, it is considered that the above reliability mechanisms are ones of the main causes of circuit degradation performance in the field. This dissertation will address the Hot Carrier (HC) and NBTI impacts on CMOS product electrical performances. A CAD bottom-up approach will be proposed and analyzed, based on the Design–in Reliability (DiR) methodology. With this purpose, a detailed analysis of the NBTI and the HC behaviours and their impact at different abstraction level is provided throughout this thesis. First, a physical framework presenting the NBTI and the HC mechanisms is given, focusing on electrical parameters weakening of nMOS and pMOS transistors. Moreover, the main analytical HC and NBTI degradation models are treated in details. In the second part, the delay degradation of digital standard cells due to NBTI, HCI is shown; an in-depth electrical CAD analysis illustrates the combined effects of design parameters and HCI/NBTI on the timing performance of standard cells. Additionally, a gate level approach is developed, in which HC and NBTI mechanisms are individually addressed. The consequences of the degradation at system level are presented in the third part of the thesis. With this objective, data extracted from silicon measures are compared against CAD estimations on two complexes IPs fabricated on STCMOS 45nm technologies. It is expected that the findings of this thesis highly contribute to the understanding of the NBTI and HC reliability wearout mechanisms at the system level.STAR
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Herchig, Ryan Christopher. "Complex Electric-Field Induced Phenomena in Ferroelectric/Antiferroelectric Nanowires." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6710.

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Perovskite ferroelectrics and antiferroelectrics have attracted a lot of attention owing to their potential for device applications including THz sensors, solid state cooling, ultra high density computer memory, and electromechanical actuators to name a few. The discovery of ferroelectricity at the nanoscale provides not only new and exciting possibilities for device miniaturization, but also a way to study the fundamental physics of nanoscale phenomena in these materials. Ferroelectric nanowires show a rich variety of physical characteristics which are advantageous to the design of nanoscale ferroelectric devices such as exotic dipole patterns, a strong dependence of the polarization and phonon frequencies on the electrical and mechanical boundary conditions, as well as a dependence of the transition temperatures on the diameter of the nanowire. Antiferroelectricity also exists at the nanoscale and, due to the proximity in energy of the ferroelectric and antiferroelectric phases, a phase transition from the ferroelectric to the antiferroelectric phase can be facilitated through the application of the appropriate mechanical and electrical boundary conditions. While much progress has been made over the past several decades to understand the nature of ferroelectricity/antiferroelectricity in nanowires, many questions remain unanswered. In particular, little is known about how the truncated dimensions affect the soft mode frequency dynamics or how various electrical and mechanical boundary conditions might change the nature of the phase transitions in these ferroelectric nanowires. Could nanowires offer a distinct advantage for solid state cooling applications? Few studies have been done to elucidate the fundamental physics of antiferroelectric nanowires. How the polarization in ferroelectric nanowires responds to a THz electric field remains relatively underexplored as well. In this work, the aim is to to develop and use computational tools that allow first-principles-based modeling of electric-field-induced phenomena in ferroelectric/antiferroelectric nanowires in order to address the aforementioned questions. The effective Hamiltonian approach is a well validated model which reliably reproduces many static and dynamic properties of perovskite ferroelectric and antiferroelectrics. We begin by developing an effective Hamiltonian for the prototypical ferroelectric potassium niobate, a lead-free material which undergoes multiple structural phase transitions. Density functional theory calculations within the LDA and GGA are used to determine the effective Hamiltonian parameters for KNbO3 . By simulating an annealing within an NPT ensemble, we find that the KNbO3 parameters found from first principles underestimate the experimental transition temperatures. We apply a universal scaling technique to all of the first-principles derived parameters and are thus able to more accurately reproduce the transition temperatures predicted by experiment as well as a number of other static and dynamic properties of potassium niobate. Having determined the parameters of the effective Hamiltonian for KNbO3 , we use this as well as previously determined effective Hamiltonian parameters for PbTiO3 and BaTiO3 to study the electrocaloric effect in nanowires made of these materials. We determined that, in general, the electrocaloric effect in ferroelectric nanowires is diminished due to the reduced correlation length resulting from the finite lateral dimensions. However, certain temperature ranges were identified near ambient temperature where the electrocaloric response is enhanced with respect to bulk. The effective Hamiltonian model was also employed to study the response of the spontaneous polarization and temperature to tailored electric fields. We identified a novel means of reversing the polarization in ferroelectric nanowires which could potentially be used in the design of nanoscale THz sensors of ultra high density ferroelectric memory devices. While the soft mode frequency dynamics of bulk ferroelectrics under various mechanical boundary conditions have been studied extensively, the effects of different mechanical boundary conditions on the soft mode dynamics in ferroelectric nanowires remains relatively under-explored. We conduct a comprehensive study on PbTiO3 nanowires which explores the effects of hydrostatic pressure, applied uniaxial stress, and biaxial strain on the structural properties, transition temperatures, and soft mode dynamics. We found that depending on the particular type of mechanical boundary condition, the nanowire can exhibit either monodomain or polydomain vortex phases, drastically different from what is found for PbTiO3 bulk and originates from the critical role of the depolarizing field. We found a rich variety of dipole patterns, particularly for the polydomain states with the dipoles arranged in single and double polarization vortices depending on the type and strength of the mechanical boundary conditions. The soft mode frequency dynamics are also strongly affected by the mechanical boundary conditions. In particular we find that the frequency of the E mode in the P4mm phase is significantly larger than the A 1 mode which is in contrast with bulk PbTiO3 . This striking finding is attributed to the presence of the depolarizing field along the truncated directions which leads to mode hardening. In the last chapter, we identify the emergence of a ferroelectric state in antiferroelectric PbZrO3 nanowires and describe possible ways to stabilize the ferroelectric phase. Finally, we explore how our findings could potentially be used to improve existing technologies such as energy storage devices and electromechanical actuators as well as future technologies like solid state cooling devices.
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Books on the topic "Complex phenomena"

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Lam, Lui, and Vladimir Naroditsky, eds. Modeling Complex Phenomena. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4613-9229-3.

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Schmelzer, J. Aggregation phenomena in complex systems. Weinheim: Wiley-VCH, 1999.

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Burghelea, Teodor, and Volfango Bertola, eds. Transport Phenomena in Complex Fluids. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35558-6.

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Casati, Giulio, and Davron Matrasulov, eds. Complex Phenomena in Nanoscale Systems. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3120-4.

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Bruggemann, Rainer, Lars Carlsen, Tugce Beycan, Christian Suter, and Filomena Maggino, eds. Measuring and Understanding Complex Phenomena. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59683-5.

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Mareschal, Michel, and Brad Lee Holian, eds. Microscopic Simulations of Complex Hydrodynamic Phenomena. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-2314-1.

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Lehmann, Sune, and Yong-Yeol Ahn, eds. Complex Spreading Phenomena in Social Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77332-2.

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Rzoska, Sylwester J., and Vitaly P. Zhelezny, eds. Nonlinear Dielectric Phenomena in Complex Liquids. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-2704-4.

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Michel, Mareschal, Holian Brad Lee, and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Microscopic simulations of complex hydrodynamic phenomena. New York: Plenum Press, 1992.

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Mulders, Anna Maria. Complex magnetic phenomena in rare earth intermetallic compounds. Delft: Delft University Press, 1998.

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Book chapters on the topic "Complex phenomena"

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Quin, Camilo Andrés Cifuentes. "Complex phenomena." In Cybernetic Architectures, 103–27. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003181101-5.

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Limbird, Lee E. "Complex Binding Phenomena." In Cell Surface Receptors: A Short Course on Theory and Methods, 123–67. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1255-0_4.

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Limbird, Lee E. "Complex Binding Phenomena." In Cell Surface Receptors: A Short Course on Theory and Methods, 97–131. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4757-1882-9_4.

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Gros, Claudius. "Synchronization Phenomena." In Complex and Adaptive Dynamical Systems, 229–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36586-7_7.

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Gros, Claudius. "Synchronization Phenomena." In Complex and Adaptive Dynamical Systems, 293–320. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16265-2_9.

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Gros, Claudius. "Synchronization Phenomena." In Complex and Adaptive Dynamical Systems, 215–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04706-0_7.

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Gros, Claudius. "Synchronization Phenomena." In Complex and Adaptive Dynamical Systems, 169–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-71874-1_6.

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Okerlund, A. N. "A Complex Phenomenon: The Human Mind." In Modeling Complex Phenomena, 1–2. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4613-9229-3_1.

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Langlois, W. E. "Modeling the Hydrodynamics of Materials Processing." In Modeling Complex Phenomena, 231–54. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4613-9229-3_11.

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Theiler, J. "Application of a Mean Field Approximation to Two Systems that Exhibit Self-Organized Criticality." In Modeling Complex Phenomena, 221–28. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4613-9229-3_10.

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Conference papers on the topic "Complex phenomena"

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Vargas, C. A. "Nonlinear phenomena in optical waveguides." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386884.

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Yomogida, Yoshiki, Ryusuke Nozaki, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Dielectric Relaxation Phenomena in Hydrogen-Bonded Liquids." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897813.

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Yamada, Y., Y. Enomoto, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Layering Phenomena Driven by Rotating Magnetic Field in Ferrofluid." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897824.

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Samsonov, D., C. Durniak, P. Harvey, S. Zhdanov, and G. Morfill. "Wave phenomena in complex plasmas." In 2011 IEEE 38th International Conference on Plasma Sciences (ICOPS). IEEE, 2011. http://dx.doi.org/10.1109/plasma.2011.5993007.

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Cramer, N. F. "Dynamic Phenomena in Complex Plasmas." In DUSTY PLASMAS IN THE NEW MILLENNIUM: Third Conference on the Physics of Dusty Plasmas. AIP, 2002. http://dx.doi.org/10.1063/1.1527748.

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Furukawa, Akira. "Dynamic Critical Phenomena of Polymer Solutions." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764093.

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Giugliarelli, G. "Protein Folding and Aggregation Phenomena." In MODELING OF COMPLEX SYSTEMS: Seventh Granada Lectures. AIP, 2003. http://dx.doi.org/10.1063/1.1571330.

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Katsnelson, M. I. "Nonperturbative anharmonic phenomena in crystal lattice dynamics." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764280.

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Sudo, Seiichi, Hirofumi Wakuda, Tetsuya Yano, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Interfacial Phenomena of Magnetic Fluid with Permanent Magnet in a Longitudinally Excited Container." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897865.

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Ren, Wei, L. Bellaiche, and S. Lisenkov. "Tackling Complex Phenomena in Nanoscale Multiferroics." In 2010 DoD High Performance Computing Modernization Program Users Group Conference (HPCMP-UGC). IEEE, 2010. http://dx.doi.org/10.1109/hpcmp-ugc.2010.20.

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Reports on the topic "Complex phenomena"

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Scafetta, Nicola, and Richard Moon. Modeling Complex Phenomena Using Multiscale Time Sequences. Fort Belvoir, VA: Defense Technical Information Center, August 2009. http://dx.doi.org/10.21236/ada508771.

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Trucano, T. G. Prediction and Uncertainty in Computational Modeling of Complex Phenomena: A Whitepaper. Office of Scientific and Technical Information (OSTI), January 1999. http://dx.doi.org/10.2172/3503.

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Lomdahl, P., A. Bishop, and N. G. Jensen. Modeling complex phenomena: Multiple length and time scales in extended dynamical systems. Office of Scientific and Technical Information (OSTI), December 1998. http://dx.doi.org/10.2172/560781.

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Gerald Sehlke and Paul Wichlacz. Idaho National Laboratory Materials and Fuels Complex Natural Phenomena Hazards Flood Assessment. Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1004236.

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Glimm, James, Yuefan Deng, W. Brent Lindquist, and Folkert Tangerman. Final report: Stochastic partial differential equations applied to the predictability of complex multiscale phenomena. Office of Scientific and Technical Information (OSTI), August 2001. http://dx.doi.org/10.2172/771242.

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Harmon, Scott Y. Exploring a Theory Describing the Physics of Information Systems, Characterizing the Phenomena of Complex Information Systems. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada387928.

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Rundle, John B. Collaborative Research: Analysis and Interpretation of Multi-Scale Phenomena in Crustal Deformation Processes Using Numerical Simulations of Complex Nonlinear Earth Systems. Office of Scientific and Technical Information (OSTI), December 2004. http://dx.doi.org/10.2172/839264.

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Gutiérrez Rodríguez, Encarnación. Entangled Migrations The Coloniality of Migration and Creolizing Conviviality. Maria Sibylla Merian International Centre for Advanced Studies in the Humanities and Social Sciences Conviviality-Inequality in Latin America, 2021. http://dx.doi.org/10.46877/rodriguez.2021.35.

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This Working Paper discusses entangled migrations as territorially and temporally entangled onto-epistemological phenomena. As a theoretical-analytical framework, it addresses the material, epistemological and ethical premises of spatial-temporal entanglements and relationality in the understanding of migration as a modern colonial phenomenon. Entangled migrations acknowledges that local migratory movements mirror global migrations in complex ways, engaging with the analysis of historical connections, territorial entrenchments, cultural confluences, and overlapping antagonistic relations across nations and continents. Drawing on European immigration to the American continent and specifically to Brazil in the 19th century, this argument is tentatively developed by discussing two opposite moments of entangled migrations, the coloniality of migration and creolizing conviviality. To do this, the paper engages first with the theoretical framework of spatial-temporal entanglements. Second, it approaches the coloniality of migration. Finally, it briefly discusses creolizing conviviality.
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Kasper, Eric. Urban Neighbourhood Dynamics and the Worst Forms of Child Labour. Institute of Development Studies (IDS), July 2021. http://dx.doi.org/10.19088/clarissa.2021.007.

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While the worst forms of child labour (WFCL) is not only an urban phenomenon, evidence suggests that WFCL emerges in cities in unique ways due to the complex structures and dynamics of urban systems. This report, therefore, develops a conceptual framework for WFCL in cities that integrates key understandings of urban systems and evidence about urban WFCL. This report reviews current literature on the complex systemic nature of cities – drawing on literature on the urban land nexus, urban complexity, informality, and inclusive urbanisation. It also reviews studies of child labour (focusing on the worst forms, where possible) in urban contexts. In this way, the report offers an innovative way of understanding the challenge of WFCL, and outlines the premises of a research agenda for responding to WFCL in cities. These contributions are made with the specific cities and neighbourhoods in mind where the CLARISSA programme is being implemented; however, they should be useful more generally.
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Zinenko, Olena. THE SPECIFICITY OF INTERACTION OF JOURNALISTS WITH THE PUBLIC IN COVERAGE OF PUBLIC EVENTS ON SOCIAL TOPICS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11056.

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Consideration of aspects of the functioning of mass media in society requires a comprehensive approach based on universal media theory. The article presents an attempt to consider public events in terms of a functional approach to understanding the media, proposed by media theorist Dennis McQuayl in the theory of mass communication. Public events are analyzed, on the one hand, as a complex object of journalistic reflection and, on the other hand, as a situational media that examines the relationship of agents of the social and media fields in the space of communication interaction. Taking into account philosophical approaches to the interpretation of the concept of event, considering its semantic spectrum, specificity of use and synonyms in the Ukrainian language, a working definition of the concept of public event is given. Based on case-analysis of public events, In accordance with the functions of the media the functions of public events are outlined. This is is promising for the development of study on typology of public events in the context of mass communication theory. The realization of the functions of public events as situational media is illustrated with such vivid examples of cultural events as «Gogolfest» and «Book Forum in Lviv». The author shows that a functional approach to understanding public events in society and their place in the space of mass communication, opens prospects for studying the role of media in reflecting the phenomena of social reality, clarifying the presence and quality of communication between media producers and media consumers.
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