KA-injected rats display deficits in gross hindlimb function after two weeks. by Naëmi Kuehn (17310359)

Subjects:

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

Microkinetic Model Fitted with a Genetic Algorithm to Experimental XPS Coverages at High Pressure–CO Hydrogenation on Rh(111) by Mikael Valter-Lithander (18955053)

“…We propose the genetic-algorithm based method as a general tool for assessment of computational models.…”

Blood glucose risk index function. by Phuwadol Viroonluecha (13783106)

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

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

Local magnetization and susceptibility as a function of temperature from Metropolis simulations with the global archetype model. by Giulio Ruffini (383994)

Simulation results for average reward rate function using the UCB algorithm , where <i>A</i> = 100, <i>ℓ</i> = 20, <i>μ</i> = [0.75, …(×50), 0.5, …(×50)], and <i>T</i> = 1000, and . by Justin Zobel (241587)

“…<p>Simulation results for average reward rate function using the UCB algorithm , where <i>A</i> = 100, <i>ℓ</i> = 20, <i>μ</i> = [0.75, …(×50), 0.5, …(×50)], and <i>T</i> = 1000, and .…”

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

“…However, despite the number of publications related to LbL assembly, predicting LbL coating properties represents quite a challenge, can take a long time, and be very costly. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

FRACTIONAL ORDER LOG BARRIER INTERIOR POINT ALGORITHM FOR POLYNOMIAL REGRESSION IN THE ℓ p -NORM by Eliana Contharteze Grigoletto (14178517)

“…<div><p>ABSTRACT Fractional calculus is the branch of mathematics that studies the several possibilities of generalizing the derivative and integral of a function to noninteger order. Recent studies found in literature have confirmed the importance of fractional calculus for minimization problems. …”

^aTwo HIV-1 protease mutants bound to inhibitor darunavir (G48V: PDB ID 3cyw [81] & L90M: PDB ID 2f81 [82]). by Yuxi Long (11024307)

Functional validation of the metastasis-predictive genes inferred by PLUS from TCGA data. by Junyi Zhou (495644)

Distinct microbial and functional composition between age groups. by Elio L. Herzog (11576876)