Search Results - (( (stat OR state:ne) python code analysis ) OR ( staten python code analysis ))*

A python framework for multi-agent simulation of networked resource systems by Knox, Stephen, Meier, Philipp, Yoon, Jim, Harou, Julien J.

“… This common interface acts as an agreed mode of communication for all contributors. We propose the Python Network Simulation (Pynsim…”
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Percolation theory using Python by Malthe-Sørenssen, Anders

“… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes…”
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Superposed epoch analysis using time-normalization: A Python tool for statistical event analysis by Walton, Samuel D., Murphy, Kyle R.

“…A superposed epoch analysis (SEA) is a simple, yet powerful statistical analysis technique, used to identify patterns in the temporal evolution of observed quantities relative to defined epochs…”
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MagPySV: A Python Package for Processing and Denoising Geomagnetic Observatory Data by Cox, G. A., Brown, W. J., Billingham, L., Holme, R.

“…). However, current data processing methods rely on piecemeal closed‐source codes or are performed on an ad hoc basis, hampering efforts to reproduce data sets underlying published results…”
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Applications of Python in Solving Physical Chemistry Problems by Singh, Jyoti, Passey, Sarita, Basu, Debasmi, Katyal, Tushar, Verma, Hemant

“…This article, presented in two parts, aims to serve as an introduction to the fundamentals of Python programming and data analysis in the context of physical chemistry experiments. In this part (Part…”
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Confidence of a k-Nearest Neighbors Python Algorithm for the 3D Visualization of Sedimentary Porous Media by Martín-Martín, Manuel, Evolución Geodinámica de la Cordillera Bética Oriental y de la Plataforma Marina de Alicante, Cabezas, David, Alcalá, Francisco J, Universidad de Alicante. Departamento de Ciencias de la Tierra y del Medio Ambiente, Bullejos, Manuel

“…Research Project PID2020-114381GB-100 of the Spanish Ministry of Science and Innovation, Research Project 101086497 of the Horizon Europe Framework Programme…”
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The CoLoMoTo Interactive Notebook: Accessible and Reproducible Computational Analyses for Qualitative Biological Networks by Naldi, Aurélien, Hernandez, Céline, Levy, Nicolas, Stoll, Gautier, Monteiro, Pedro T., Chaouiya, Claudine, Helikar, Tomáš, Zinovyev, Andrei, Calzone, Laurence, Cohen-Boulakia, Sarah, Thieffry, Denis, Paulevé, Loïc

“… The accessibility and reproducibility of such workflows is challenging, as publications often overlook analysis details, and because some of these tools may be difficult to install, and/or have a steep learning curve…”
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Unmixing of Magnetic Hysteresis Loops Through a Modified Gamma‐Cauchy Exponential Model by Bellon, U. D., Trindade, R. I. F., Williams, W.

“…Quantifying the contributions of distinct mineral populations in bulk magnetic experiments greatly enhances the analysis of environmental and rock magnetism studies…”
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bmotif: A package for motif analyses of bipartite networks by Simmons, Benno I., Sweering, Michelle J. M., Schillinger, Maybritt, Dicks, Lynn V., Sutherland, William J., Di Clemente, Riccardo, Matthiopoulos, Jason

“…Bipartite networks are widely used to represent a diverse range of species interactions, such as pollination, herbivory, parasitism and seed dispersal. The…”
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Statistics Using Python by Campesato, Oswald

“…This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors…”
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Applications of Python in Solving Physical Chemistry Problems: Part 1 by Singh, Jyoti, Passey, Sarita, Basu, Debasmi, Katyal, Tushar, Verma, Hemant

“…This article, presented in two parts, aims to serve as an introduction to the fundamentals of Python programming and data analysis in the context of physical chemistry experiments. In this part (Part…”
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fenics_ice 1.0: a framework for quantifying initialization uncertainty for time-dependent ice sheet models by Koziol, Conrad P., Todd, Joe A., Goldberg, Daniel N., Maddison, James R.

“… Numerical codes simulating the evolution of ice sheets can potentially quantify this future contribution…”
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Development of a New Thermal-Hydraulic Module for FRENETIC, a Code for the Multiphysics Analysis of Liquid Metal-Cooled Reactors by Lombardo, Antonino, Nallo, Giuseppe F., Abrate, Nicolò, Liu, Yapeng, Dulla, Sandra

“… The code performs steady-state and transient neutronic (NE) and TH coupled calculations while maintaining a relatively low computational cost thanks to the adoption of simplified physical models…”
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Avogadro: an advanced semantic chemical editor, visualization, and analysis platform by Hanwell, Marcus D, Curtis, Donald E, Lonie, David C, Vandermeersch, Tim, Zurek, Eva, Hutchison, Geoffrey R

“… Results The work presented here details the Avogadro library, which is a framework providing a code library and application programming interface (API…”
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NuRadioMC: simulating the radio emission of neutrinos from interaction to detector by Glaser, C., García-Fernández, D., Nelles, A., Alvarez-Muñiz, J., Barwick, S. W., Besson, D. Z., Clark, B. A., Connolly, A., Deaconu, C., de Vries, K. D., Hanson, J. C., Hokanson-Fasig, B., Lahmann, R., Latif, U., Kleinfelder, S. A., Persichilli, C., Pan, Y., Pfendner, C., Plaisier, I., Seckel, D., Torres, J., Toscano, S., van Eijndhoven, N., Vieregg, A., Welling, C., Winchen, T., Wissel, S. A.

“… NuRadioMC is designed as a modern, modular Python-based framework, combining flexibility in detector design with user-friendliness…”
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REGALS : a general method to deconvolve X-ray scattering data from evolving mixtures by Meisburger, Steve P., Xu, Da, Ando, Nozomi

“…Mixtures of biological macromolecules are inherently difficult to study using structural methods, as increasing complexity presents new challenges for data analysis…”
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De-risking the energy transition by quantifying the uncertainties in fault stability by Healy, David, Hicks, Stephen Paul

“… simulations to produce statistically viable ensembles for the analysis of probability. In this paper, we describe the implementation of this approach using custom-built open-source Python code (pfs…”
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Machine Learning-Enabled Quantitative Analysis of Optically Obscure Scratches on Nickel-Plated Additively Manufactured (AM) Samples by Mengesha, Betelhiem N., Grizzle, Andrew C., Demisse, Wondwosen, Klein, Kate L., Elliott, Amy, Tyagi, Pawan

“…Additively manufactured metal components often have rough and uneven surfaces, necessitating post-processing and surface polishing. Hardness is a critical…”
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pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization and comparison by Luo, Zhi-Hui, Shi, Meng-Wei, Yang, Zhuang, Zhang, Hong-Yu, Chen, Zhen-Xia

“…) annotations of the disease phenotypes. Furthermore, semantic similarity comparison between two bio-NE annotations, like disease descriptions, has become important for data integration or system genetics analysis…”
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PyEMILI: A New Generation Computer-aided Spectral Line Identifier by Tu, Zhijun, Fang, Xuan, Williams, Robert, Liu, Jifeng

“… Using Python , we have developed a line-identification code PyEMILI, which is a significant improvement over the Fortran -based package EMILI introduced ∼20 yr ago…”
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