Bibliografie tematiche / Biophysical dynamics

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Letteratura scientifica selezionata sul tema "Biophysical dynamics"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 5 febbraio 2022

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Articoli di riviste sul tema "Biophysical dynamics"

1

Berendsen, H. J. C. "Biophysical applications of molecular dynamics." Computer Physics Communications 44, no. 3 (June 1987): 233–42. http://dx.doi.org/10.1016/0010-4655(87)90078-6.

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Nelson, David R. "Biophysical Dynamics in Disorderly Environments." Annual Review of Biophysics 41, no. 1 (June 9, 2012): 371–402. http://dx.doi.org/10.1146/annurev-biophys-042910-155236.

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Abarbanel, Henry D. I., Leif Gibb, R. Huerta, and M. I. Rabinovich. "Biophysical model of synaptic plasticity dynamics." Biological Cybernetics 89, no. 3 (September 1, 2003): 214–26. http://dx.doi.org/10.1007/s00422-003-0422-x.

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Sataric, M. V., and J. A. Tuszynski. "Nonlinear Dynamics of Microtubules: Biophysical Implications." Journal of Biological Physics 31, no. 3-4 (December 2005): 487–500. http://dx.doi.org/10.1007/s10867-005-7288-1.

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Su, Qian Peter, and Lining Arnold Ju. "Biophysical nanotools for single-molecule dynamics." Biophysical Reviews 10, no. 5 (August 18, 2018): 1349–57. http://dx.doi.org/10.1007/s12551-018-0447-y.

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Fernandez, Fernando R., Jordan D. T. Engbers, and Ray W. Turner. "Firing Dynamics of Cerebellar Purkinje Cells." Journal of Neurophysiology 98, no. 1 (July 2007): 278–94. http://dx.doi.org/10.1152/jn.00306.2007.

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Knowledge of intrinsic neuronal firing dynamics is a critical first step to establishing an accurate biophysical model of any neuron. In this study we examined cerebellar Purkinje cells to determine the bifurcations likely to underlie firing dynamics within a biophysically realistic and experimentally supported model. We show that Purkinje cell dynamics are consistent with a system undergoing a saddle-node bifurcation of fixed points in the transition from rest to firing and a saddle homoclinic bifurcation from firing to rest. Our analyses account for numerous observed Purkinje cell firing pro
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Flomenbom, Ophir. "Single File Dynamics Advances with a Focus on Biophysical Relevance." Biophysical Reviews and Letters 09, no. 04 (December 2014): 307–31. http://dx.doi.org/10.1142/s1793048014400013.

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In this review (appearing in the Special Issue on single file dynamics in biophysics and related extensions), three recently treated variants in file dynamics are presented: files with density that is not fixed, files with heterogeneous particles, and files with slow particles. The results in these files include:• In files with a density law that is not fixed, but decays as a power law with an exponent a the distance from the origin, the particle in the origin mean square displacement (MSD) scales like MSD ~ t[1+a]/2, with a Gaussian probability density function (PDF). This extends the scaling
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Sikosek, Tobias, and Hue Sun Chan. "Biophysics of protein evolution and evolutionary protein biophysics." Journal of The Royal Society Interface 11, no. 100 (November 6, 2014): 20140419. http://dx.doi.org/10.1098/rsif.2014.0419.

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The study of molecular evolution at the level of protein-coding genes often entails comparing large datasets of sequences to infer their evolutionary relationships. Despite the importance of a protein's structure and conformational dynamics to its function and thus its fitness, common phylogenetic methods embody minimal biophysical knowledge of proteins. To underscore the biophysical constraints on natural selection, we survey effects of protein mutations, highlighting the physical basis for marginal stability of natural globular proteins and how requirement for kinetic stability and avoidance
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Tortora, Maxime MC, Hossein Salari, and Daniel Jost. "Chromosome dynamics during interphase: a biophysical perspective." Current Opinion in Genetics & Development 61 (April 2020): 37–43. http://dx.doi.org/10.1016/j.gde.2020.03.001.

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Chiu, Wah, and Keith Moffat. "Biophysical methods: structure, dynamics and gorgeous images." Current Opinion in Structural Biology 17, no. 5 (October 2007): 546–48. http://dx.doi.org/10.1016/j.sbi.2007.09.008.

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Tesi sul tema "Biophysical dynamics"

1

Brandt, Erik G. "Interactions and dynamics in biophysical model systems /." Stockholm : Skolan för teknikvetenskap, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10300.

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Elmlund, Hans. "Protein structure dynamics and interplay : by single-particle electron microscopy." Doctoral thesis, Stockholm : Teknik och hälsa, Technology and Health, Kungliga Tekniska högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4669.

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Dale, Michael Anthony Joseph. "Global Energy Modelling : A Biophysical Approach (GEMBA)." Thesis, University of Canterbury. Mechanical Engineering, 2010. http://hdl.handle.net/10092/5156.

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The aim of this thesis is to take a broad conceptual overview of the global energy system and investigate what the aims of sustainability might entail for such a system. The work presented uses a biophysical economic approach in that the dynamics of the global economy are investigated using the tool box of the physical sciences, including the laws of thermodynamics and the methods of energy analysis. Modern society currently uses approximately 500 exajoules (EJ = 10^18 J) of total primary energy supply (TPES) each year. This energy consumption has been increasing at roughly 2% per
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Pearson, Joshua Thomas. "A biophysical study of protein dynamics and protein-ligand interactions /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/8173.

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Stollar, Elliott Jonathan. "Biophysical and crystallographic investigation of homeodomain stability, dynamics, and recognition." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615778.

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Zerlaut, Yann. "Biophysical and circuit properties underlying population dynamics in neocortical networks." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066095/document.

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Le néocortex possède un état activé dans lequel l'activité corticalemanifeste un comportement complexe. Au niveau cellulaire, l'activitéest caractérisée par de fortes fluctuations sous-liminaires dupotential membranaire et une décharge irrégulière à bassefréquence. Au niveau du réseau, l'activité est marquée par un faibleniveau de synchronie et une dynamique chaotique. Néanmoins, c'est dansce régime que l'information est traitée de manière fiable par lesréseaux neuronaux. Ce régime est donc crucial pour le traitement del'information par le cortex. Dans cette thèse, nous contribuons à sacompréh
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Doerdelmann, Thomas. "Structural and Biophysical Studies of the Pitx2 Homeodomain." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1307443112.

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Pathmasiri, Wimal. "Structural and Biophysical Studies of Nucleic Acids." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8245.

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Reyns, Nathalie Brigitte. "Biophysical dispersal dynamics of the blue crab in Pamlico Sound, North Carolina." NCSU, 2004. http://www.lib.ncsu.edu/theses/available/etd-10312004-143755/.

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For many species such as the blue crab, Callinectes sapidus, successful estuarine recruitment to juvenile nursery habitats is dependent on the biophysical processes experienced during dispersal of the early life stages. The goal of this study was to determine how blue crab primary (postlarval) and secondary (early juvenile) dispersal occurs within a predominately wind-driven estuary, Pamlico Sound, North Carolina, USA. We (1) characterized circulation patterns in Pamlico Sound during the fall blue crab recruitment months over two consecutive years using current meters (2) sampled during multip
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Chimatiro, Sloans Kalumba. "The biophysical dynamics of the Lower Shire River Floodplain fisheries in Malawi /." Connect to this title online, 2004. http://eprints.ru.ac.za/177/.

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Libri sul tema "Biophysical dynamics"

1

Trends in biophysics: From cell dynamics toward multicellular growth phenomena. Toronto: Apple Academic Press, 2013.

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Kostyukov, Viktor. Molecular mechanics of biopolymers. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1010677.

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The monograph is devoted to molecular mechanics simulations of biologically important polymers like proteins and nucleic acids. It is shown that the algorithms based on the classical laws of motion of Newton, with high-quality parameterization and sufficient computing resources is able to correctly reproduce and predict the structure and dynamics of macromolecules in aqueous solution. Summarized the development path of biopolymers molecular mechanics, its theoretical basis, current status and prospects for further progress. 
 It may be useful to researchers specializing in molecular Bioph
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Computational hydrodynamics of capsules and biological cells. Boca Raton: Chapman & Hall/CRC, 2010.

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Brooks, Charles L. Proteins: A theoretical perspective of dynamics, structure, and thermodynamics. New York: J. Wiley, 1988.

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Molecules, dynamics, and life: An introduction to self-organization of matter. New York: Wiley, 1986.

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Glass, Leon. Theory of Heart: Biomechanics, Biophysics, and Nonlinear Dynamics of Cardiac Function. New York, NY: Springer New York, 1991.

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Nicolis, J. Chaotic dynamics applied to biological information processing. Berlin: Akademie-Verlag, 1987.

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Sansom, M. S. P., and Philip Charles Biggin. Molecular simulations and biomembranes: From biophysics to function. Cambridge: Royal Society of Chemistry, 2010.

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Inoué, Shinya. Collected works of Shinya Inoué: Microscopes, living cells, and dynamic molecules. Hackensack, NJ: World Scientific, 2008.

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J, Eyles Stephen, ed. Mass spectrometry in structural biology and biophysics: Architecture, dynamics, and interaction of biomolecules. 2nd ed. Hoboken, N.J: Wiley, 2012.

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Capitoli di libri sul tema "Biophysical dynamics"

1

Kammerdiner, Alla, Nikita Boyko, Nong Ye, Jiping He, and Panos Pardalos. "Integration of Signals in Complex Biophysical Systems." In Dynamics of Information Systems, 197–211. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5689-7_10.

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Kosztin, Ioan, and Klaus Schulten. "Molecular Dynamics Methods for Bioelectronic Systems in Photosynthesis." In Biophysical Techniques in Photosynthesis, 445–64. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8250-4_22.

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Timofeeva, Yulia. "Intracellular Calcium Dynamics: Biophysical and Simplified Models." In Springer Series in Computational Neuroscience, 69–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00817-8_3.

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Buda, Francesco. "Density Functional Theory and Car-Parrinello Molecular Dynamics Methods." In Biophysical Techniques in Photosynthesis, 487–99. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8250-4_24.

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Gallego, Alejandro. "Biophysical Models: An Evolving Tool in Marine Ecological Research." In Modelling Complex Ecological Dynamics, 279–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-05029-9_20.

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Plaxco, Kevin W., and Christopher M. Dobson. "Monitoring Protein Folding Using Time-Resolved Biophysical Techniques." In Protein Dynamics, Function, and Design, 163–72. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-4895-9_11.

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Leigh, Brian S., Diana E. Schlamadinger, and Judy E. Kim. "Structures and Dynamics of Proteins Probed by UV Resonance Raman Spectroscopy." In Biophysical Methods for Biotherapeutics, 243–68. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118354698.ch9.

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Cardullo, Richard A., Robert M. Mungovan, and David E. Wolf. "Imaging Membrane Organization and Dynamics." In Biophysical and Biochemical Aspects of Fluorescence Spectroscopy, 231–60. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4757-9513-4_8.

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Gierasch, Lila M. "Signal Sequences: Roles and Interactions by Biophysical Methods." In Biological Membranes: Structure, Biogenesis and Dynamics, 191–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78846-8_18.

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Konermann, Lars, Johannes Messinger, and Warwick Hillier. "Mass Spectrometry-Based Methods for Studying Kinetics and Dynamics in Biological Systems." In Biophysical Techniques in Photosynthesis, 167–90. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8250-4_9.

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Atti di convegni sul tema "Biophysical dynamics"

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Feng, Jianfeng. "A comparison between abstract and biophysical neuron models." In Stochastic and chaotic dynamics in the lakes. AIP, 2000. http://dx.doi.org/10.1063/1.1302375.

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Du, Y., and A. M. Al-Jumaily. "Modified Fading Memory Model to Describe ASM Dynamics." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41179.

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Abstract (sommario):
A modified fading memory model is introduced in this work to describe the behavior of airway smooth muscle dynamics. The model is used to simulate two biophysical cases: a finite duration for the step change in length and a case for external longitudinal oscillations. For both cases, the model describes the cross-bridge behaviour well and indicates that the muscle length change is the most important factor to determine the degree of cross-bridge detachment. However, the frequency of oscillation represents the velocity of the length change, which affects the cross-bridge cycling rate as reflect
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Majumdar, Anindya, and Sean J. Kirkpatrick. "Optical vortices as potential indicators of biophysical dynamics." In SPIE BiOS, edited by Valery V. Tuchin, Kirill V. Larin, Martin J. Leahy, and Ruikang K. Wang. SPIE, 2017. http://dx.doi.org/10.1117/12.2251026.

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Yu, Theodore, Terrence J. Sejnowski, and Gert Cauwenberghs. "Biophysical neural spiking and bursting dynamics in reconfigurable analog VLSI." In 2010 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2010. http://dx.doi.org/10.1109/biocas.2010.5709602.

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Al-Jumaily, A. M., and Y. Du. "Simplified Model for ASM Dynamics." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53133.

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Abstract (sommario):
The dynamic response of contracted airway smooth muscles to a finite length change and longitudinal oscillations is described using a simplified model. The model is intended to interpret the biophysical events but not to accurately describe them. It shows that the value of tissue length changes have pronounced indications of cross-bridge detachment. However, the frequency of oscillations represents the velocity of the length change, which affects the cross-bridge cycling rate reflected in the low frequency range.
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Spiliotis, Konstantinos G., Hari Radhakrishnan, and George C. Georgiou. "Randomness switches the dynamics in a biophysical model for Parkinson Disease." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756429.

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Yu, T., and G. Cauwenberghs. "Biophysical synaptic dynamics in an analog VLSI network of hodgkin-huxley neurons." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333272.

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Shcheglova, S. N., and B. O. Shcheglov. "Development of a mathematical model for assessing the biophysical effect of radiation on human health in the North." In XXV REGIONAL SCIENTIFIC CONFERENCE STUDENTS, APPLICANTS AND YOUNG RESEARCHERS. Знание-М, 2020. http://dx.doi.org/10.38006/907345-63-8.2020.155.162.

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The aim of the study is to create a mathematical-biophysical model for modeling the dynamics of the action of solar radiation on the environment of the northern regions of the Earth. Using the Schrödinger wave function, the propagation of the intensity of solar radiation is presented. As a result, a biophysical model of the action of electromagnetic radiation is obtained.
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Dimitrov, Petar. "Investigation of dynamics of some biophysical parameters of Norway spruce stands by MODIS data." In 2009 4th International Conference on Recent Advances in Space Technologies (RAST). IEEE, 2009. http://dx.doi.org/10.1109/rast.2009.5158232.

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Deb, Saswati, and Arun Chakraborty. "Simulation of plankton dynamics in the Hooghly Estuary using a high resolution biophysical model." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350952.

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Rapporti di organizzazioni sul tema "Biophysical dynamics"

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Koch, Christof. Dynamic Biophysical Theory for the Role of Hippocampal Neural Networks in the Declarative Memory System. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada279961.

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Verburg, Peter H., Žiga Malek, Sean P. Goodwin, and Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003625.

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The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model applica
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