Test instrument. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Empirical model establishment process. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Model prediction error trend chart. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Basic physical parameters of red clay. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

BP neural network structure diagram. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Structure diagram of GBDT model. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Model prediction error analysis index. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Fitting curve parameter table. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Model prediction error analysis. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection... by Akshay Anand (118579)

A proposed spatial-temporal transition model for low-pH induced membrane fusion mediated by lyssavirus G. by Fanli Yang (404970)

NSAID administration results in a temporary decrease of richness and alpha diversity of the fecal microbiota. by Canaan M. Whitfield-Cargile (787408)

Decrease in blood pressure by PP2, a Src inhibitor in <i>Csk</i>^+/- mice. by Hyeon-Ju Lee (796527)

Knockdown of VGLUT1 results in a concomitant decrease in synaptic expression of synapsin and synaptophysin. by Corbett T. Berry (296520)

“…(<b>E</b>) Synaptophysin was not decreased in KD neurons co-expressing VGLUT1 (<i>V1</i>, VGLUT1 expressing neurons; p = 0.940; n = 244 and 96 puncta from 13 and 9 axons for SCR and V1, respectively, from a representative experiment. …”

Dataset used for analyses in present study (Study 1). by Julia Brailovskaia (3374045)

Subjects:

Linear regression analyses (Study 1, Study 2). by Julia Brailovskaia (3374045)

Subjects:

Maximum and mean SL values of the call types. by Anna N. Osiecka (11739336)

“…Those modelled calls were then used in a permuted discriminant function analysis, support vector machine models, and linear models of Beecher’s information statistic, to investigate whether transmission loss will affect the retention of individual information of the signal. …”

Method for the Large-Scale Synthesis of Multifunctional 1,4-Dihydro-pyrrolo[3,2‑<i>b</i>]pyrroles by Mariusz Tasior (1457731)

Method for the Large-Scale Synthesis of Multifunctional 1,4-Dihydro-pyrrolo[3,2‑<i>b</i>]pyrroles by Mariusz Tasior (1457731)

Selected compounds exhibit no antibiotic activity against <i>K</i>. <i>pneumoniae</i>. by Estelle Ifrid (10076719)

Subjects: