Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…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). …”

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…”

23 benchmark functions. by Yu Liu (6938)

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Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

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ANOVA tests for Benchmark functions. by Yu Liu (6938)

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The Wilcoxon results for Benchmark functions. by Yu Liu (6938)

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Convergence graphs of Benchmark functions. by Yu Liu (6938)

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Tuned parameters of algorithms. by Kaveh Faraji Googerdchi (18778727)

Standard functions to test. by Kemal Gökhan Nalbant (18858009)

CEC2019 benchmark functions. by Guangwei Liu (181992)

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Convergence graphs of CEC2021 test functions. by Yu Liu (6938)

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FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

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Eight commonly used benchmark functions. by Guangwei Liu (181992)

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How fries chooses which sequences to keep and which sequences to prune. by Anna U. Lowegard (8051597)

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An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

“…<i>(b)</i> Metabolic byproducts move the relevant unperturbed state from <b>R</b>⁰ (gray ‘x’) to (black ‘x’), which is itself a function of the current environmental conditions. …”

PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. by Gursimran Singh (575288)

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Flowchart of proposed algorithm. by Tibebu Legesse (21030014)

“…To address these challenges, this paper proposed a novel routing protocol, the Energy Aware Stable Path Ad Hoc On-Demand Distance Vector (EASP-AODV), which incorporates residual energy of individual nodes and received signal strength to improve routing decisions. …”