Expansion procedure. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

The main steps of the general algorithm. by Dror Mughaz (18017583)

Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i> by McKenna Feltes (11242085)

Subjects:

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. …”

IDRAS algorithm outline. by Ron Teichner (21492434)

Penalty functions used in different methods. by Souvik Seal (12437166)

S and V shaped transfer functions. by Chenyi Zhu (9383370)

Subjects:

Benchmark functions. by Qinghe Guo (21519322)

Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW sy... by Honglei Pang (22693724)

Subjects:

Simulation Results Plot of the EMB System Response: (a) Step response curve of the EMB system; (b) Sine response curve of the EMB system; (c) Steady state error curve of the EMB sy... by Honglei Pang (22693724)

Subjects:

Graphical summary and pseudo code of our gait signatures framework and algorithm. by Taniel S. Winner (17296029)

S- and V-Type transfer function diagrams. by Chenyi Zhu (9383370)

Subjects:

Demonstration of algorithm design and operationalization. by Tobias S. Brett (5353364)

“…In panels (f–i), we present a step-by-step outline of how, for any time series data, our fitted algorithm functions as an early warning system. …”

Genetic Algorithm (GA) and CAGE-based personalization block diagrams. by Dmitrii Smirnov (8822324)

“…<p>(<b>A</b>) Genetic algorithm schematic diagram. Initially a set of organisms is generated, each of which is determined by a random vector of scaling factors for optimized model parameters (step 1). …”

Preservation analysis of co-expressed modules of control networks were tested in the stress condition based on the median rank (A) and Zsummary (B) algorithms. by Bahman Panahi (7323578)

Subjects:

The number of inactive nodes as a function of time steps at higher values of <i>P</i> and <i>α</i> in (a) a random network and (b) a scale-free network. by Waseem Al-Aqqad (14123917)

Policy network (<i>θ</i>′) of SAM to accommodate PPO algorithm. by Zhenhan Huang (12107002)

The proposed simulation model uses either an experimentally determined or proposed cumulative distribution function to generate a stream length model for the mocked squiggle. by Michael Smith (26855)

User options and main steps of the generative algorithm. by Diana C. de Oliveira (9220729)

Estimated parameter values of the global functions f(t), g(t) and h(t) based on data of Kansas City (KC), Saint Louis (SL), San Francisco (SF), Missouri (MO), Illinois (IL), and Ar... by Hadeel AlQadi (12378372)