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Letteratura scientifica selezionata sul tema "Mixing time"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 26 luglio 2025

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Articoli di riviste sul tema "Mixing time"

1

Rzyski, Edward. "Mixing time (Time to Homogenization) in the transition region of mixing." Chemical Engineering Journal 31, no. 2 (1985): 75–81. http://dx.doi.org/10.1016/0300-9467(85)80046-0.

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2

Gandhi, Arijit, Suma Oommen Sen, Debabrata Manna, Chandrani Roy, Kalyan Kumar Sen, and S. Deb Roy. "STUDIES ON THE EFFECT OF MIXING TIME, SPEED AND CONCENTRATION OF ONE COMPONENT ON MIXING INDEX." Indian Research Journal of Pharmacy and Science 04, no. 01 (2017): 887–94. http://dx.doi.org/10.21276/irjps.2017.4.1.3.

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3

Kutta, Tim. "Approximately mixing time series." Statistics & Probability Letters 220 (May 2025): 110360. https://doi.org/10.1016/j.spl.2025.110360.

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4

Kawase, Y., and M. Moo-Young. "Mixing time in bioreactors." Journal of Chemical Technology & Biotechnology 44, no. 1 (2007): 63–75. http://dx.doi.org/10.1002/jctb.280440107.

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5

Funakoshi, Mitsuaki. "Chaotic mixing and mixing efficiency in a short time." Fluid Dynamics Research 40, no. 1 (2008): 1–33. http://dx.doi.org/10.1016/j.fluiddyn.2007.04.004.

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6

BENJAMINI, ITAI, NOAM BERGER, and ARIEL YADIN. "Long-Range Percolation Mixing Time." Combinatorics, Probability and Computing 17, no. 4 (2008): 487–94. http://dx.doi.org/10.1017/s0963548308008948.

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We provide an estimate, sharp up to poly-logarithmic factors, of the asymptotic almost sure mixing time of the graph created by long-range percolation on the cycle of length N ($\Integer/N\Integer$). While it is known that the asymptotic almost sure diameter drops from linear to poly-logarithmic as the exponent s decreases below 2 [4, 9], the asymptotic almost sure mixing time drops from N2 only to Ns-1 (up to poly-logarithmic factors).

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7

Christensen, U. "Mixing by time-dependent convection." Earth and Planetary Science Letters 95, no. 3-4 (1989): 382–94. http://dx.doi.org/10.1016/0012-821x(89)90112-x.

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8

Abreu, P., W. Adam, T. Adye, et al. "Measurement of time dependent mixing." Physics Letters B 338, no. 2-3 (1994): 409–20. http://dx.doi.org/10.1016/0370-2693(94)91398-6.

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9

NEWKIRK, K. A., L. W. HAND, and D. S. SUlTON. "Cooking Treatment, Mixing Time, and Mixing Temperature Affect Pepperoni Cupping." Journal of Food Science 60, no. 3 (1995): 583–86. http://dx.doi.org/10.1111/j.1365-2621.1995.tb09832.x.

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10

Weiss, Michael. "Cardiac output and systemic transit time dispersion as determinants of circulatory mixing time: a simulation study." Journal of Applied Physiology 107, no. 2 (2009): 445–49. http://dx.doi.org/10.1152/japplphysiol.00140.2009.

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A new approach to characterize the kinetics of intravascular mixing process is presented. The mixing time, defined as the time required for achieving 95% homogeneity, is calculated by numerical simulations using a circulatory model applied to the intravascular marker indocyanine green (ICG). The results suggest that the mixing time is determined by cardiac output and the relative dispersion of transit time distribution across the systemic circulation, whereby the rate of mixing increases with increasing cardiac output and decreasing transit time dispersion, and vice versa. The estimation of pl

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Tesi sul tema "Mixing time"

1

Tan, Rung-Kai [Verfasser]. "Mixing time in shaking bioreactors / Rung-Kai Tan." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2012. http://d-nb.info/1025511972/34.

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2

Lei, Tao. "The mixing time of Newman-Watts small world." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110738.

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"Small worlds" are large networks in which any given node has only a few connections to other nodes, but possessing the property that all pairs of nodes are connected by a short path, typically logarithmic in the number of nodes. Small-world models are widely used in the physics literature for modeling various "real-world" networks, such as World Wide Web, power grid and neural network. When the network is too big to model completely, which is often the case for "real-world" network, we need other approaches which yield information about its typical or approximate structure. One such approach

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3

Walser, Andreas Markus. "Time-resolved four-wave mixing spectroscopy of gaseous formaldehyde /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=18044.

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4

Louis, Pierre-Yves. "Coupling, space and time Mixing for parallel stochastic dynamics." Universität Potsdam, 2004. http://opus.kobv.de/ubp/volltexte/2011/5156/.

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We first introduce some coupling of a finite number of Probabilistic Cellular Automata dynamics (PCA), preserving the stochastic ordering. Using this tool, for a general attractive probabilistic cellular automata on SZd, where S is finite, we prove that a condition (A) is equivalent to the (time-) convergence towards equilibrium of this Markovian parallel dynamics, in the uniform norm, exponentially fast. This condition (A) means the exponential decay of the influence from the boundary for the invariant measures of the system restricted to finite ‘box’-volume. For a class of reversible PCA dyn

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5

Zhang, Chi, and 张驰. "Ultrafast temporal spectroscopy based on parametric mixing time-lens." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/200358.

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With the increased requirement on the ultrafast measurement technology, how to resolve the spectral dynamics has the top priority on the research list, since spectrum is an essential carrier for most of the physical or chemical phenomena. According to the Nyquist-Shannon sampling theorem, if a function 𝑥(𝑡) contains no frequencies higher than 𝐵 Hz, it is completely determined by giving its ordinates at a series of points spaced 1/(2𝐵) seconds apart. Since most of the conventional optical spectrum analyzers (OSAs) are operated with the sampling rate (or frame rate) of 5 Hz, it results in the re

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6

Ferraioli, Diodato. "Logit dynamics for strategic games mixing time and metastability." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/297.

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2010 - 2011<br>A complex system is generally de_ned as a system emerging from the interaction of several and di_erent components, each one with their properties and their goals, usually subject to external inuences. Nowadays, complex systems are ubiquitous and they are found in many research areas: examples can be found in Economy (e.g., markets), Physics (e.g., ideal gases, spin systems), Biology (e.g., evolution of life) and Computer Science (e.g., Internet and social networks). Modeling complex systems, understanding how they evolve and predicting the future status of a complex system

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7

Yang, Linji. "Phase transitions in spin systems: uniqueness, reconstruction and mixing time." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47593.

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Spin systems are powerful mathematical models widely used and studied in Statistical Physics and Computer Science. This thesis focuses the study of spin systems on colorings and weighted independent sets (the hard-core model). In many spin systems, there exist phase transition phenomena: there is a threshold value of a parameter such that when the parameter is on one side of the threshold, the system exhibits the so-called spatial decay of correlation, i.e., the influence from a set of vertices to another set of vertices diminishes as the distance between the two sets grows; when the paramete

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8

Koria, Robert. "Real-Time Adaptive Audio Mixing System Using Inter-Spectral Dependencies." Thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133354.

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The process of mixing tracks for a live stage performance or studio session is both time consuming and expensive with assistance of professionals. It is also difficult for individuals to remain competitive against established companies, since multiple tracks must be properly mixed in order to achieve well-enhanced elements -- generally, a poor mix makes it difficult for the listener to distinguish the different elements of the mix. The developed method during this thesis work aims at facilitating the mixing work for live performances and studio sessions. The implemented system analyzes the ene

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9

Brand, Matthew Anthony. "Optical time resolved spin dynamics in III V semiconductor quantum wells." Thesis, University of Southampton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289510.

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Foster, Miranda Jane. "Continuous time estimation and its application to active mixing volume (AMV) models." Thesis, Lancaster University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306880.

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Libri sul tema "Mixing time"

1

Singh, Prabhat K. Femtosecond fluorescence up-conversion: A time-gated frequency mixing technique for ultrafast chemical dynamics. Bhabha Atomic Research Centre, 2009.

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2

Vinne, G. Van Der. Travel time and longitudinal dispersion characteristics on the ice-covered Wapiti and Smoky Rivers. Environmental Research and Engineering Dept., Alberta Research Council, 1990.

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3

Levin, David Asher. Markov chains and mixing times. American Mathematical Society, 2009.

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4

Rogers, R. Clayton. Scramjet mixing establishment times for a pulse facility. American Institute of Aeronautics and Astronautics, 1991.

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5

Ksenofontov, Boris. Flotation models and hydrodynamic modes of operation of combined flotation equipment. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2124804.

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For the first time in the world literature, the monograph examines both the theoretical beginnings of the flotation process using multistage and generalized flotation models, as well as practical recommendations based on the principles of biosimilarity. Diagrams of various types of combined flotation equipment and their operating modes are presented. New aeration systems for use in various flotation devices, including flotation combines, are considered. Examples of the use of new flotation technology using ejectors for both aeration and mixing of reagents with purified water are describe

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6

Y, Peres, and Wilmer Elizabeth L. 1970-, eds. Markov chains and mixing times: With a chapter on coupling from the past by James G. Propp and David B. Wilson. American Mathematical Society, 2008.

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7

Good mixing cocktails: Your complete guide to mixing perfect cocktails every time. Parragon, 2012.

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8

Inc, Penton Overseas. Party Time & Bartender's Mixing Secrets: Flipper Two Pack. Penton Overseas, 2003.

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9

Sabbagh, Mohamed Nasser. A study on mixing time in mechanical agitated vessels. 1985.

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10

Dickson, Timothy Russell. Time-resolved optical Kerr effect spectroscopy by four-wave mixing. 1991.

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Capitoli di libri sul tema "Mixing time"

1

Doukhan, Paul. "Continuous time processes." In Mixing. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2642-0_10.

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2

Oltheten, Wessel. "Time and Phase." In Mixing with Impact. Routledge, 2018. http://dx.doi.org/10.4324/9781315113173-7.

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3

Robinson, Ciarán. "Real-Time Mixing." In Game Audio with FMOD and Unity. Routledge, 2019. http://dx.doi.org/10.4324/9780429455971-21.

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4

Portugal, Renato. "Limiting Distribution and Mixing Time." In Quantum Walks and Search Algorithms. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6336-8_7.

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5

Perugini, Diego. "The Development of Magma Mixing in Space and Time." In The Mixing of Magmas. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81811-1_7.

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6

Jendrzok, Birgit, Christoph Pauls, Hans-Jürgen Koß, and Klaus Lucas. "Time-Resolved Measurement of Concentrations in Mixing Processes Using Raman Spectroscopy." In Micro and Macro Mixing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04549-3_3.

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7

Constantin, Peter, Laura Gioia Andrea Keller, and Camilla Nobili. "Existence, uniqueness, regularity and long time behavior of hydrodynamic evolution equations." In Transport, Fluids, and Mixing. De Gruyter Open, 2017. http://dx.doi.org/10.1515/9783110571240-003.

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8

Oualha, Khaled, Mounir Ben Amar, and Andrei Kanaev. "Mixing-Time in T-Mixer Reactor." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11827-3_1.

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Jackson, David. "Time-Dependent B Mixing at SLD." In International Europhysics Conference on High Energy Physics. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59982-8_133.

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10

Benjamini, Itai, and Oded Goldreich. "Pseudo-mixing Time of Random Walks." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43662-9_20.

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Atti di convegni sul tema "Mixing time"

1

Zamanlooy, Behnoosh, Shahab Asoodeh, Mario Diaz, and Flavio P. Calmon. "$\mathrm{E}_{\gamma}$-Mixing Time." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619250.

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2

Cohen, Moshe-Ishay, Noa Konforty, and Mordechai Segev. "Four-Wave Mixing in Photonic Time-Crystals." In CLEO: Fundamental Science. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_fs.2024.ftu4r.2.

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We study the process of four wave mixing in photonic time-crystals. We find that the phase matching condition is altered by the momentum band-structure of the time-crystal, enabling the enhancement of any chosen frequency.

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3

Kienitz, Paul, Andreas Bablich, Rainer Bornemann, Maurice Müller, and Peter Haring Bolívar. "Graphene Photodetector for Time-of-Flight Optical Ranging Using Optoelectronic Mixing." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.am1j.7.

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A graphene optoelectronic mixer device utilizing indirect Time-of-Flight (ToF) for enhanced 3D imaging applications is presented. The prototype enables ranging up to 1 m with a mean accuracy of 25.6 mm.

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4

Feng Pan and J. R. Hobbs. "Temporal Arithmetic Mixing Months and Days." In Thirteenth International Symposium on Temporal Representation and Reasoning (TIME'06). IEEE, 2006. http://dx.doi.org/10.1109/time.2006.28.

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5

Wang, Songsong, Peiqiao Liu, Yundong Wang, and Zuohua Liu. "Intelligent Terminal of Mixing Reactor with Real-Time Monitoring and Feedback Control Functions." In 17th European Conference on Mixing. MIXING17 - 17th European Conference On Mixing, 2024. http://dx.doi.org/10.52202/074122-0070.

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6

Molla, Anisur Rahaman, and Gopal Pandurangan. "Distributed Computation of Mixing Time." In ICDCN '17: 18th International Conference on Distributed Computing and Networking. ACM, 2017. http://dx.doi.org/10.1145/3007748.3007784.

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7

Armenante, Piero, Chadakarn Sirasitthichoke, Duc Hoang, Poonam Phalak, Barak Barnoon, and Ishaan Shandil. "Prediction of Blend Time in a Large-Scale Viral Inactivation Vessel Used in a Commercial Biopharmaceutical Plant." In 17th European Conference on Mixing. MIXING17 - 17th European Conference On Mixing, 2024. http://dx.doi.org/10.52202/074122-0012.

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8

Zheng, Yuanlin, Xianfeng Chen, and Wenjie Wan. "Time-reversed nonlinear optical wave mixing." In 2016 Progress in Electromagnetic Research Symposium (PIERS). IEEE, 2016. http://dx.doi.org/10.1109/piers.2016.7734804.

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9

Godo, Matthew, and Steve Legensky. "Mixing Time Visualization for Aerospace Applications." In 45th AIAA Aerospace Sciences Meeting and Exhibit. American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-973.

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10

Long, Yun, Asaf Nachmias, and Yuval Peres. "Mixing Time Power Laws at Criticality." In 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07). IEEE, 2007. http://dx.doi.org/10.1109/focs.2007.4389493.

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Rapporti di organizzazioni sul tema "Mixing time"

1

Poirier, Michael R. Tank 50H Mixing Pump Run Time Reassessment. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1638482.

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2

Ragan, K. J. Rare B decays and time dependent mixing at CDF. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/88829.

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3

Baum, Howard R., Ronald G. Rehm, Daniel M. Corley, and Daniel W. Lozier. Time-dependent simulation of small-scale turbulent mixing and reaction. National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.ir.86-3334.

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4

Ikeda, Y., A. B. Cain, D. E. Parekh, P. Moin, and J. B. Freund. Real-Time Feedback Control of Mixing in a Heated Jet. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada383185.

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5

Lucchesi, Donatella. Measurement of time dependent B0(d) - anti-B0 mixing at CDF. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/1422821.

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Glezer, Ari, and Frank H. Champagne. Real-Time Adaptive Control of Mixing in a Plane Shear Layer. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada285541.

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7

Thom, Julia. Time Dependent B{sup 0} - bar-B{sup 0} Mixing at SLD. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/798914.

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Abe, F. Measurement of B{sup 0}{bar B}{sup 0} mixing via time evolution. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/104477.

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Gordon, Arnold L. Stratification Mixing and Circulation of the Indonesian Seas-Arlindo Phase 1 and 2. Including AASERT: Mixing and Time Variability in the Indonesian Seas. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada390099.

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10

Bigio, I. J., C. E. M. Strauss, and D. K. Zerkle. Optical imaging through turbid media using a degenerate-four-wave mixing correlation time gate. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/676931.

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