PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. by Yuxi Long (11024307)

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Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. by Raul Castañeda (13932971)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density. by Hassan Mehboob (8960273)

“…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…”

Experimental design. by Sam Hall-McMaster (10343795)

Experimental design. by Anis Najar (9745561)

IDEN algorithm and gene pair-based drug repurposing. by Yao Jiang (1469614)

Experiment 2D and 5D: Progressive Sample Scaling Algorithm To Solve Many-Affine BBOB Functions. by Boris Almonacid (4110337)

“…</li></ul><p dir="ltr"><b>Limitations</b></p><ul><li>This algorithm is designed for Many-Affine BBOB problems of 2 and 5 dimensions.…”

The recurrent T3D algorithm. by Neythen J. Treloar (8698251)

Iteration versus fitness function. by B. Venkatesh (17202747)

a) DPR based Single Round MISTY1 / KASUMI, b) FI function. by Huang Jiexian (17060975)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

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Samples from IPPs with a mixture of squared exponential intensity function (<i>p</i> = 2). by M. Hassan Tanveer (9596437)

The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

Fig 1 - by Tuan Anh Pham (1346049)

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Fig 10 - by Tuan Anh Pham (1346049)

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Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

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The relationship between dependent variables and salary. by Yangda Gong (12015173)

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