The comparison of ν_s – DTc trends models with experimental measured values for RHOB = 2.02 g/cc and DTs =  265.03 us/ft. by Fahd Saeed Alakbari (10701871)

Subjects:

(a) Taylor diagrams of Khandelwal et al. [13], Brabdas et al, Kumar et al. [12] models. (b) Taylor diagrams of Ranjbar-Karami et al. [14], Christaras et al. [52], Feng et al. [16],... by Fahd Saeed Alakbari (10701871)

Subjects:

FT-IR results. by Caglar Akcay (6910697)

Subjects:

Threshold effect analysis of UACR and cognitive impairment. by Yubo Teng (21246745)

Subjects:

Analyzing the relationship between UACR (<30) and cognitive scores and impairment. by Yubo Teng (21246745)

Subjects:

Summary of sites of activity of genes encoded by SNPs observed to be associated in our study in the NO signaling pathway downstream of Cit. by Dai Nogimura (21445649)

Subjects:

(a, b). The statistical error analyses for the models using the same dataset. by Fahd Saeed Alakbari (10701871)

Subjects:

FT-IR results. by Caglar Akcay (6910697)

Subjects:

Analyzing the relationship between UACR and cognitive scores and impairment. by Yubo Teng (21246745)

Subjects:

The comparison of ν_s – RHOB trends models with experimental measurements. by Fahd Saeed Alakbari (10701871)

Subjects:

Complete results of regression analyses of the candidate gene approach. by Dai Nogimura (21445649)

Subjects:

The comparison of ν_s – DTs trends models with experimental measured values for RHOB = 2.33 g/cc and DTc = 118.67 us/ft. by Fahd Saeed Alakbari (10701871)

Subjects:

eQTL analysis for proxy SNPs of <i>PRMT6</i>-<i>NTNG1</i> rs12028323. by Dai Nogimura (21445649)

Subjects:

The optimized GPR approach’s cross-plotting for the training dataset. by Fahd Saeed Alakbari (10701871)

Subjects:

Methodology flowchart. by Fahd Saeed Alakbari (10701871)

Subjects:

The most common machine learning methods to predict ν_s. by Fahd Saeed Alakbari (10701871)

Subjects:

Tricuspid regurgitation pressure gradient of all 17 dogs. by Nattapon Riengvirodkij (11268720)

Subjects:

Trend analysis of the ν_s – DTc in the range found in the dataset used for the optimized GPR. by Fahd Saeed Alakbari (10701871)

Subjects:

Statistical error analyses of the proposed or optimized GPR model. by Fahd Saeed Alakbari (10701871)

Subjects:

FT-IR results. by Caglar Akcay (6910697)

Subjects: