بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
algorithm growth » algorithm both (توسيع البحث), algorithm flow (توسيع البحث), algorithm shows (توسيع البحث)
python function » protein function (توسيع البحث)
growth function » growth direction (توسيع البحث)
algorithm co » algorithm cl (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
co function » cost function (توسيع البحث), cep function (توسيع البحث), _ function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
algorithm growth » algorithm both (توسيع البحث), algorithm flow (توسيع البحث), algorithm shows (توسيع البحث)
python function » protein function (توسيع البحث)
growth function » growth direction (توسيع البحث)
algorithm co » algorithm cl (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
co function » cost function (توسيع البحث), cep function (توسيع البحث), _ function (توسيع البحث)
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An expectation-maximization algorithm for finding noninvadable stationary states.
منشور في 2020"…<p><i>(a)</i> Noninvadable states by definition can only exist in the region Ω of resource space where the growth rate <i>dN</i><sub><i>i</i></sub>/<i>dt</i> of each species <i>i</i> is zero or negative. …"
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Growth rate comparison between models and experimental results in mono-culture and co-culture.
منشور في 2023الموضوعات: -
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
منشور في 2025"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"
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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
منشور في 2025"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"
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BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data
منشور في 2019"…GEM-guided predictions of growth phenotypes rely on the accurate definition of a biomass objective function (BOF) that is designed to include key cellular biomass components such as the major macromolecules (DNA, RNA, proteins), lipids, coenzymes, inorganic ions and species-specific components. …"
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