Suchergebnisse - (( dynamic code analysis of python process ) OR ( dynamika code analysis of python process ))

MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics von Haiman, Zachary B., Zielinski, Daniel C., Koike, Yuko, Yurkovich, James T., Palsson, Bernhard O.

“… MASSpy adds dynamic modeling tools to the COnstraint-Based Reconstruction and Analysis Python (COBRApy …”
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pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods von Behdenna, Abdelkader, Colange, Maximilien, Haziza, Julien, Gema, Aryo, Appé, Guillaume, Azencott, Chloé-Agathe, Nordor, Akpéli

“… Background Variability in datasets is not only the product of biological processes …”
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Efficient Space–Time Reduced Order Model for Linear Dynamical Systems in Python Using Less than 120 Lines of Code von Kim, Youngkyu, Wang, Karen, Choi, Youngsoo

“… A classical reduced order model (ROM) for dynamical problems typically involves only the spatial reduction of a given problem …”
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Deeptime: a Python library for machine learning dynamical models from time series data von Hoffmann, Moritz, Scherer, Martin, Hempel, Tim, Mardt, Andreas, de Silva, Brian, Husic, Brooke E, Klus, Stefan, Wu, Hao, Kutz, Nathan, Brunton, Steven L, Noé, Frank

“… Deeptime is a general purpose Python library offering various tools to estimate dynamical models based on time-series data including conventional linear learning methods, such as Markov state models (MSMs …”
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Percolation theory using Python von Malthe-Sørenssen, Anders

“… The book's structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis …”
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PyGEE-SWToolbox: A Python Jupyter Notebook Toolbox for Interactive Surface Water Mapping and Analysis Using Google Earth Engine von Owusu, Collins, Snigdha, Nusrat J., Martin, Mackenzie T., Kalyanapu, Alfred J.

“… challenges. PyGEE-SWToolbox is a freely available Google Earth Engine-enabled open-source toolbox developed with Python to be run in Jupyter Notebooks that provides an easy-to-use graphical user interface (GUI …”
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3DDA: A Novel Python Toolkit to Analyze 3D‐Dynamic Contact Angles from Molecular Dynamics Simulations von Maslov, Andrea, Tiwari, Manish K., Seveno, David

“… Herein, 3DDA, a Python‐based code that uses the 3D droplet geometry to determine contact angles and analyze dynamic changes during spreading processes at the nanoscale, is presented …”
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CRYSTALpytools: A Python infrastructure for the Crystal code von Camino, Bruno, Zhou, Huanyu, Ascrizzi, Eleonora, Boccuni, Alberto, Bodo, Filippo, Cossard, Alessandro, Mitoli, Davide, Ferrari, Anna Maria, Erba, Alessandro, Harrison, Nicholas M.

“… CRYSTALpytools is an open source Python project available on GitHub that implements a user-friendly interface to the Crystal code for quantum-mechanical condensed matter simulations …”
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Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals von Combrisson, Etienne, Nest, Timothy, Brovelli, Andrea, Ince, Robin A. A., Soto, Juan L. P., Guillot, Aymeric, Jerbi, Karim

“… In particular, there is accumulating evidence that phase-amplitude coupling (PAC), a specific form of cross-frequency interaction, plays a key role in numerous cognitive processes …”
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PyCDFT: A Python package for constrained density functional theory von Ma, He, Wang, Wennie, Kim, Siyoung, Cheng, Man‐Hin, Govoni, Marco, Galli, Giulia

“… ‐principles molecular dynamics code, Qbox, and we benchmark its accuracy by computing the electronic coupling between diabatic states for a set of organic molecules …”
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A Python-based stochastic library for assessing geothermal power potential using the volumetric method in a liquid-dominated reservoir von Pocasangre, Carlos, Fujimitsu, Yasuhiro

“… •A Python-based stochastic library is presented for assessing geothermal potential …”
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Discovering Stochastic Dynamical Equations from Ecological Time Series Data von Nabeel, Arshed, Karichannavar, Ashwin, Palathingal, Shuaib, Jhawar, Jitesh, Brückner, David B, Raj M, Danny, Guttal, Vishwesha

“… AbstractTheoretical studies have shown that stochasticity can affect the dynamics of ecosystems in counterintuitive ways …”
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Glycosylator: a Python framework for the rapid modeling of glycans von Lemmin, Thomas, Soto, Cinque

“… The covalent linkage of a carbohydrate to the nitrogen atom of an asparagine, a process referred to as N- linked glycosylation, plays an important role in the physiology of many living organisms …”
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PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers von O'Meara, Simon Patrick, Xu, Shuxuan, Topping, David, Alfarra, M. Rami, Capes, Gerard, Lowe, Douglas, Shao, Yunqi, McFiggans, Gordon

“… In this paper the CHemistry with Aerosol Microphysics in Python (PyCHAM) box model software for aerosol chambers is described and assessed against benchmark simulations for accuracy …”
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Verification of a Python-based TRANsport Simulation Environment for density-driven fluid flow and coupled transport of heat and chemical species von Kempka, Thomas

“… Numerical simulation has become an inevitable tool for improving the understanding on coupled processes in the geological subsurface and its utilisation …”
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SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models von Dal Molin, Marco, Kavetski, Dmitri, Fenicia, Fabrizio

“… Catchment-scale hydrological models are widely used to represent and improve our understanding of hydrological processes and to support operational water resource management …”
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Constructing and analysing dynamic models with modelbase v1.2.3: a software update von van Aalst, Marvin, Ebenhöh, Oliver, Matuszyńska, Anna

“… Background Computational mathematical models of biological and biomedical systems have been successfully applied to advance our understanding of various regulatory processes, metabolic fluxes, effects …”
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AmPyfier: Test amplification in Python von Schoofs, Ebert, Abdi, Mehrdad, Demeyer, Serge

“… These test amplification tools heavily rely on analysis techniques that benefit a lot from type declarations present in the source code of projects written in statically typed languages …”
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Automating HotSpot health physics code for enhanced radiological risk assessment using python von Maglas, Najeeb N.M., Najar, Merouane, Qiang, Zhao

“… However, its manual data input and analysis processes limit its efficiency in complex scenarios requiring extensive parameter variations …”
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Bayesian modelling of time series data (BayModTS)—a FAIR workflow to process sparse and highly variable data von Höpfl, Sebastian, Albadry, Mohamed, Dahmen, Uta, Herrmann, Karl-Heinz, Kindler, Eva Marie, König, Matthias, Reichenbach, Jürgen Rainer, Tautenhahn, Hans-Michael, Wei, Weiwei, Zhao, Wan-Ting, Radde, Nicole Erika

“… A pervasive challenge in quantitative dynamical modelling is the integration of time series measurements, which often have high variability and low sampling resolution …”
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