Literatura académica sobre el tema "Paire of Distribution Function"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Paire of Distribution Function".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Paire of Distribution Function"
YONEDA, Yasuhiro. "Atomic Pair Distribution Function (PDF) Analysis of Ferroelectric Materials". Nihon Kessho Gakkaishi 54, n.º 3 (2012): 155–58. http://dx.doi.org/10.5940/jcrsj.54.155.
Texto completoTarasov, Vasily E. "Nonlocal Probability Theory: General Fractional Calculus Approach". Mathematics 10, n.º 20 (17 de octubre de 2022): 3848. http://dx.doi.org/10.3390/math10203848.
Texto completoModarres, Reza. "Estimating the distribution function of symmetric pairs". Communications in Statistics - Theory and Methods 46, n.º 4 (16 de marzo de 2016): 1843–54. http://dx.doi.org/10.1080/03610926.2015.1030421.
Texto completoHansen, Niels Richard. "Asymptotics for local maximal stack scores with general loop penalty function". Advances in Applied Probability 39, n.º 3 (septiembre de 2007): 776–98. http://dx.doi.org/10.1239/aap/1189518638.
Texto completoHansen, Niels Richard. "Asymptotics for local maximal stack scores with general loop penalty function". Advances in Applied Probability 39, n.º 03 (septiembre de 2007): 776–98. http://dx.doi.org/10.1017/s0001867800002044.
Texto completoSaboor, Abdus, Hassan S. Bakouch, Fernando A. Moala y Sheraz Hussain. "Properties and methods of estimation for a bivariate exponentiated Fréchet distribution". Mathematica Slovaca 70, n.º 5 (27 de octubre de 2020): 1211–30. http://dx.doi.org/10.1515/ms-2017-0426.
Texto completoFritzsch, B. y A. Zehe. "Distribution function of donor-acceptor pairs in nipi-structures". Superlattices and Microstructures 12, n.º 1 (enero de 1992): 43–46. http://dx.doi.org/10.1016/0749-6036(92)90217-s.
Texto completoRea, H. J., R. Sung, J. R. Corney, D. E. R. Clark y N. K. Taylor. "Interpreting Three-Dimensional Shape Distributions". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 219, n.º 6 (1 de junio de 2005): 553–66. http://dx.doi.org/10.1243/095440605x31427.
Texto completoChen, L. F. y S. R. Liang. "A Modified Pulsar Model Green Function Period Distribution". Symposium - International Astronomical Union 125 (1987): 62. http://dx.doi.org/10.1017/s0074180900160486.
Texto completoKlein, Ingo y Monika Doll. "(Generalized) Maximum Cumulative Direct, Residual, and Paired Φ Entropy Approach". Entropy 22, n.º 1 (12 de enero de 2020): 91. http://dx.doi.org/10.3390/e22010091.
Texto completoTesis sobre el tema "Paire of Distribution Function"
Lucas, Tim. "Pair distribution function studies of inorganic materials under extreme conditions". Thesis, University of Birmingham, 2013. http://etheses.bham.ac.uk//id/eprint/4630/.
Texto completoMartinez-Inesta, Maria M. "Pair distribution function as a probe for disorder in molecular sieves". Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 2.69 Mb., 260 p, 2005. http://proquest.umi.com/pqdlink?did=1037889231&Fmt=7&clientId=8331&RQT=309&VName=PQD.
Texto completoTakahashi, Masakuni. "Elucidation of the Dominant Factor in Electrochemical Materials Using Pair Distribution Function Analysis". Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263748.
Texto completo新制・課程博士
博士(人間・環境学)
甲第23287号
人博第1002号
京都大学大学院人間・環境学研究科相関環境学専攻
(主査)教授 内本 喜晴, 教授 田部 勢津久, 准教授 戸﨑 充男
学位規則第4条第1項該当
Doctor of Human and Environmental Studies
Kyoto University
DFAM
Masadeh, Ahmad Salah. "Quantitative structure determination of nanostructured materials using the atomic pair distribution function analysis". Diss., Connect to online resource - MSU authorized users, 2008.
Buscar texto completoBrickman, Larry A. "Numerical evaluation of the pair-distribution function of dilute suspensions at high Péclet number". Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/11305.
Texto completoZheng, Lianqing. "Statistical identification of metabolic reactions catalyzed by gene products of unknown function". Diss., Kansas State University, 2013. http://hdl.handle.net/2097/15594.
Texto completoDepartment of Statistics
Gary L. Gadbury
High-throughput metabolite analysis is an approach used by biologists seeking to identify the functions of genes. A mutation in a gene encoding an enzyme is expected to alter the level of the metabolites which serve as the enzyme’s reactant(s) (also known as substrate) and product(s). To find the function of a mutated gene, metabolite data from a wild-type organism and a mutant are compared and candidate reactants and products are identified. The screening principle is that the concentration of reactants will be higher and the concentration of products will be lower in the mutant than in wild type. This is because the mutation reduces the reaction between the reactant and the product in the mutant organism. Based upon this principle, we suggest a method to screen the possible lipid reactant and product pairs related to a mutation affecting an unknown reaction. Some numerical facts are given for the treatment means for the lipid pairs in each treatment group, and relations between the means are found for the paired lipids. A set of statistics from the relations between the means of the lipid pairs is derived. Reactant and product lipid pairs associated with specific mutations are used to assess the results. We have explored four methods using the test statistics to obtain a list of potential reactant-product pairs affected by the mutation. The first method uses the parametric bootstrap to obtain an empirical null distribution of the test statistic and a technique to identify a family of distributions and corresponding parameter estimates for modeling the null distribution. The second method uses a mixture of normal distributions to model the empirical bootstrap null. The third method uses a normal mixture model with multiple components to model the entire distribution of test statistics from all pairs of lipids. The argument is made that, for some cases, one of the model components is that for lipid pairs affected by the mutation while the other components model the null distribution. The fourth method uses a two-way ANOVA model with an interaction term to find the relations between the mean concentrations and the role of a lipid as a reactant or product in a specific lipid pair. The goal of all methods is to identify a list of findings by false discovery techniques. Finally a simulation technique is proposed to evaluate properties of statistical methods for identifying candidate reactant-product pairs.
Batchellor, Adam. "STRUCTURE-ACTIVITY RELATIONSHIPS IN NI-FE (OXY)HYDROXIDE OXYGEN EVOLUTION ELECTROCATALYSTS". Thesis, University of Oregon, 2017. http://hdl.handle.net/1794/22268.
Texto completoEllezam, Laura. "Dopage (Co/Fe) de nanoparticules de RuO2 : synthèse, modélisation et caractérisation structurale". Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS304.
Texto completoThe aim of this work is the full analysis of RuO2 nanoparticles (NPs) doped with Co or Fe. This is a big challenge because of the size of these systems (1.0 - 2.5 nm). Synthesis were conducted by three different aqueous pathways at low temperature: via sol-gel, hydrothermal and by co-precipitation methods. Fe atoms replaces easily Ru, whereas it is more difficult for Co. Several parameters had to be changed to obtain a successful doping. In order to characterize the local structure of Co or Fe-doped RuO2 nanoparticles, and understand the structural modifications, a coupling between modelling with DFT calculation and analysis by Pair Distribution Function (PDF) was set up. First a bulk model and after a NP model was built and optimized by DFT. It was seen that numerous doping atoms tend to be localized at the surface of the NPs whereas it is more thermodynamically stable to have a good dispersion when the number of doping atom is smaller. From these DFT model, PDF curves were calculated and compared with experimental PDF curves. These comparisons allow to identify the rutile structure, describe the local structure, and to validate DFT models. It also allows the attribution of distances in the structure and shows the need to consider specifically the surface modifications. This PDF/DFT conclusions were validated by high level STEM-HAADF-EELS analysis
Wood, Suzannah. "Understanding the Formation of Kinetically Stable Compounds and the Development of Thin Film Pair Distribution Function Analysis". Thesis, University of Oregon, 2017. http://hdl.handle.net/1794/22645.
Texto completo10000-01-01
Owen, Lewis Robert. "The analysis of local structural effects in alloys using total scattering and reverse Monte Carlo techniques". Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/273748.
Texto completoLibros sobre el tema "Paire of Distribution Function"
Yildirim, Cem Yalcin. Zeta function theory: Pair correlation and value distribution. Toronto: [s.n.], 1990.
Buscar texto completoBanerjee, Soham. Improved modeling of nanocrystals from atomic pair distribution function data. [New York, N.Y.?]: [publisher not identified], 2020.
Buscar texto completoGong, Zizhou. Muon Spin Relaxation Study of MnGe and Development of Pair Distribution Function Methods. [New York, N.Y.?]: [publisher not identified], 2018.
Buscar texto completoShi, Chenyang. Local structure and lattice dynamics study of low dimensional materials using atomic pair distribution function and high energy resolution inelastic x-ray scattering. [New York, N.Y.?]: [publisher not identified], 2015.
Buscar texto completoLocal Structural Insights into Exotic Electronic States in 𝓭- and 𝑓-Electron Oxides with Joint Neutron and X-ray Pair Distribution Function Analysis. [New York, N.Y.?]: [publisher not identified], 2021.
Buscar texto completoIvan, Izquierdo y Medina Jorge, eds. Naturally occurring benzodiazepines: Structure, distribution, and function. New York: Ellis Horwood, 1993.
Buscar texto completoFlowerdew, John. Definitions in science lectures: Distribution, function and form. Hong Kong: City Polytechnic of Hong Kong, 1992.
Buscar texto completoChurnside, James H. Probability density function of optical scintillations (scintillation distribution). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1989.
Buscar texto completoNussbaum, Martha Craven. Nature, function, and capability: Aristotle on political distribution. Helsinki, Finland: World Institute for Development Economics Research of the United Nations University, 1987.
Buscar texto completoStation, Pacific Southwest Research, ed. Xylem monoterpenes of pines: Distribution, variation, genetics, function. Albany, Calif: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Research Station, 2000.
Buscar texto completoCapítulos de libros sobre el tema "Paire of Distribution Function"
Billinge, Simon J. L. "Pair Distribution Function Technique: Principles and Methods". En NATO Science for Peace and Security Series B: Physics and Biophysics, 183–93. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5580-2_17.
Texto completoOnodera, Yohei, Tomoko Sato y Shinji Kohara. "X-Ray and Neutron Pair Distribution Function Analysis". En The Materials Research Society Series, 93–120. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5235-9_4.
Texto completoChapman, Karena W. y Peter J. Chupas. "Pair Distribution Function Analysis of High-Energy X-ray Scattering Data". En In-situ Characterization of Heterogeneous Catalysts, 147–68. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118355923.ch5.
Texto completoBordet, Pierre y Pauline Martinetto. "Use of the Pair Distribution Function Analysis in the Context of Pharmaceutical Materials". En Disordered Pharmaceutical Materials, 283–300. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2016. http://dx.doi.org/10.1002/9783527652693.ch10.
Texto completoBillinge, Simon. "Chapter 16. Local Structure from Total Scattering and Atomic Pair Distribution Function (PDF) Analysis". En Powder Diffraction, 464–93. Cambridge: Royal Society of Chemistry, 2008. http://dx.doi.org/10.1039/9781847558237-00464.
Texto completoBillinge, S. J. L. "Nanometre-scale structure from powder diffraction: total scattering and atomic pair distribution function analysis". En International Tables for Crystallography, 649–72. Chester, England: International Union of Crystallography, 2019. http://dx.doi.org/10.1107/97809553602060000972.
Texto completoProffen, Thomas. "11. Analysis of Disordered Materials Using Total Scattering and the Atomic Pair Distribution Function". En Neutron Scattering in Earth Sciences, editado por Hans Rudolf Wenk, 255–74. Berlin, Boston: De Gruyter, 2006. http://dx.doi.org/10.1515/9781501509445-016.
Texto completoParise, J. B., L. Ehm y F. M. Michel. "Analysis of the Total Scattering Using the Quantitative High Pressure Pair Distribution Function: Practical Considerations". En NATO Science for Peace and Security Series B: Physics and Biophysics, 513–22. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9258-8_42.
Texto completoEhm, L., F. M. Michel y J. B. Parise. "Analysis of the Total Scattering Using the Quantitative High Pressure Pair Distribution Function: Case Studies". En NATO Science for Peace and Security Series B: Physics and Biophysics, 523–31. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9258-8_43.
Texto completoGooch, Jan W. "Distribution Function". En Encyclopedic Dictionary of Polymers, 980. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15223.
Texto completoActas de conferencias sobre el tema "Paire of Distribution Function"
Billinge, Simon J. L. "Pair Distribution Function". En 23a Reunião da Associação Brasileira de Cristalografia. São Paulo: Editora Blucher, 2017. http://dx.doi.org/10.5151/23abcr-24.
Texto completoMu, Xiaoke. "Open Source Software for STEM Pair Distribution Function Mapping". En European Microscopy Congress 2020. Royal Microscopical Society, 2021. http://dx.doi.org/10.22443/rms.emc2020.405.
Texto completoKodama, Katsuaki, Takashi Honda, Kazutaka Ikeda, Shin-ichi Shamoto y Toshiya Otomo. "Magnetic Pair Distribution Function of Spin-glass System Mn0.5Fe0.5TiO3". En Proceedings of the 3rd J-PARC Symposium (J-PARC2019). Journal of the Physical Society of Japan, 2021. http://dx.doi.org/10.7566/jpscp.33.011059.
Texto completoHua, Xiao, Sandy Sanchez y Ullrich Steiner. "Phase Evolution During Perovskite Formation – An Insight from Pair Distribution Function". En Online Conference on Atomic-level Characterisation of Hybrid Perovskites. València: Fundació Scito, 2022. http://dx.doi.org/10.29363/nanoge.hpatom.2022.008.
Texto completoHong, Xinguo, Lars Ehm, Zhong Zhong, Sanjit Ghose, Thomas S. Duffy y Donald J. Weidner. "High-energy X-ray focusing and high-pressure pair distribution function measurement". En ICXOM23: International Conference on X-ray Optics and Microanalysis. Author(s), 2016. http://dx.doi.org/10.1063/1.4961131.
Texto completoHong, Xinyi y Xinguo Hong. "An alternative method for pair distribution function (PDF) determination from complex environments". En PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SYNCHROTRON RADIATION INSTRUMENTATION – SRI2015. Author(s), 2016. http://dx.doi.org/10.1063/1.4952933.
Texto completoLi, Qiqi, Fei'er Yang, Ruoxi Wei, Han Sun, Zan Yang y Wei Nai. "Huber Loss Function Based on t-Distribution Yin-Yang-Pair Optimization Algorithm". En 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022. http://dx.doi.org/10.1109/itoec53115.2022.9734669.
Texto completoRohner, Christian. "Identification of microplastic particles by pair distribution function analysis of electron diffraction data". En European Microscopy Congress 2020. Royal Microscopical Society, 2021. http://dx.doi.org/10.22443/rms.emc2020.494.
Texto completoKashio, Yoshihiko y Eiji Okada. "Optical topographic reconstruction using photon measurement density function". En European Conference on Biomedical Optics. Washington, D.C.: Optica Publishing Group, 2001. http://dx.doi.org/10.1364/ecbo.2001.4431_313.
Texto completoKodama, Katsuaki, Naoki Igawa, Shin-ichi Shamoto, Kazutaka Ikeda, Hidetoshi Ohshita, Naokatsu Kaneko, Toshiya Otomo, Kentaro Suzuya, Akinori Hoshikawa y Toru Ishigaki. "Local Structural Analysis by Using Atomic Pair Distribution Function on Mixed Valence Compound LiMn2O4". En Proceedings of the International Conference on Strongly Correlated Electron Systems (SCES2013). Journal of the Physical Society of Japan, 2014. http://dx.doi.org/10.7566/jpscp.3.013012.
Texto completoInformes sobre el tema "Paire of Distribution Function"
Vondreele, R., S. Billinge, G. Kwei y A. Lawson. Development of pair distribution function analysis. Office of Scientific and Technical Information (OSTI), septiembre de 1996. http://dx.doi.org/10.2172/378229.
Texto completoKing, Graham Missell. Introduction to Pair Distribution Function Analysis. Office of Scientific and Technical Information (OSTI), febrero de 2015. http://dx.doi.org/10.2172/1170274.
Texto completoBillinge, S. J. L. y M. F. Thorpe. Local Atomic Structure of Semiconductor Alloys Using Pair Distribution Function Analysis. Office of Scientific and Technical Information (OSTI), junio de 2002. http://dx.doi.org/10.2172/795601.
Texto completoAsenath-Smith, Emily, Emma Ambrogi, Lee Moores, Stephen Newman y Jonathon Brame. Leveraging chemical actinometry and optical radiometry to reduce uncertainty in photochemical research. Engineer Research and Development Center (U.S.), septiembre de 2021. http://dx.doi.org/10.21079/11681/42080.
Texto completoSmith, Richard J. y Vitaliy Oryshchenko. Improved density and distribution function estimation. The IFS, julio de 2018. http://dx.doi.org/10.1920/wp.cem.2018.4718.
Texto completoNuttall, Albert H. The Wigner Distribution Function with Minimum Spread. Fort Belvoir, VA: Defense Technical Information Center, junio de 1988. http://dx.doi.org/10.21236/ada199661.
Texto completoDidonato, Armido. An Inverse of the Incomplete Beta Function (F-(Variance Ratio) Distribution Function). Fort Belvoir, VA: Defense Technical Information Center, agosto de 2005. http://dx.doi.org/10.21236/ada467901.
Texto completoNuttall, Albert H. Alias-Free Wigner Distribution Function and Complex Ambiguity Function for Discrete-Time Samples. Fort Belvoir, VA: Defense Technical Information Center, abril de 1989. http://dx.doi.org/10.21236/ada211050.
Texto completoSmith, Richard. Xylem monoterpenes of pines: distribution, variation, genetics, function. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station, 2000. http://dx.doi.org/10.2737/psw-gtr-177.
Texto completoJ. L. V. Lewandowski. Numerical Loading of a Maxwellian Probability Distribution Function. US: Princeton Plasma Physics Lab., NJ (US), marzo de 2003. http://dx.doi.org/10.2172/813603.
Texto completo