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)

An example of the algorithm of the ORFanID engine is explained in a UML flow chart diagram. by Richard S. Gunasekera (6752072)

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The repair algorithm restores the electrophysiological behaviour of cut and repaired mouse pyramidal cells and allows for better predictions of neuronal function in human neurons. by Moritz Groden (18018276)

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

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

Schematic of the iterative algorithm. by Pierre Barrat-Charlaix (9556592)

Cost function coefficients for all CHPs in MMGs. by Hamid Amini Khanavandi (19267750)

Reward function related parameters. by Honglei Pang (22693724)

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Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

Proposed decision tree algorithm for thromboelastometry parameters to differentiate COVID-19 patients according to disease severity. by Rodrigo B. Aires (11949690)

Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. by Alexis M. Thornton (11068403)

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Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX by Shakiru A. Alaka (9302864)

“…<p>Background and Purpose: Stroke-related functional risk scores are used to predict patients' functional outcomes following a stroke event. …”

Estimation of the convergence of the algorithm for simulated ARGs of <i>L</i> leaves: VI distance to real MCCs as a function of the number of iterations of the SA optimization, scaled by <i>L</i>. by Pierre Barrat-Charlaix (9556592)

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF by Shakiru A. Alaka (9302864)

“…<p>Background and Purpose: Stroke-related functional risk scores are used to predict patients' functional outcomes following a stroke event. …”

Modeling Molecularly Imprinted Nanoparticles with LNKD: A Resource Efficient Algorithm for Polymer Cross-Linking by Emma Stevens (22257358)

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Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties by Tijana Šušteršič (14519970)

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Hypothetical example illustrating how the <i>search</i>.<i>conv</i> function algorithm works. by Silvia Castiglione (5010581)

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.…”