Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors. by Satoshi Nishida (690175)

“…<p>The mean fraction of significant voxels in each brain region for fastText vector-based models was mapped onto the cortical surface (<b>A</b>, vector dimension = 100; <b>B</b>, 300; <b>C</b>, 500; <b>D</b>, 2000). …”

Consistency of inter-regional patterns of significant-voxel fraction for GloVe vectors. by Satoshi Nishida (690175)

S1 Data - by Mai Ngoc Luu (11868515)

Subjects:

Baseline characteristics of participants. by Mai Ngoc Luu (11868515)

Subjects:

The global transcription is decreased in VBNC but remains specific. by Benjamin Hommel (523072)

Logistic regression (univariates) and adjusted analysis including the significant covariates from the univariate regression. by Kai Yi Wu (16451082)

Media-based perceptions and adoption model of NEVs. by Jianjun Pang (15627710)

Subjects:

Response determinism of event-based input encodings with varying input history. by Evan Cudone (5768813)

Subjects:

Impaired Ubr5 function results in increased canonical and decreased non-canonical HH signalling. by David Mellis (2833469)

Significant (p<0.05) predictors of animal-based food groups (grams) during the dry and rainy seasons in Malawi, from multivariate models adjusted for all predictors significant (p<0.10) in univariate models. by Chrissie Thakwalakwa (4575547)

“…<p>Significant (p<0.05) predictors of animal-based food groups (grams) during the dry and rainy seasons in Malawi, from multivariate models adjusted for all predictors significant (p<0.10) in univariate models.…”

Conceptual framework based on Andersen’s behavioral model. by Shahinur Akter (13775393)

Conceptual framework based on the S-O-R model. by Sunwoo Kim (5593589)

“…In contrast, ideal self-congruence had a more significant positive impact on the perceived physical attractiveness of the plus-size model than the thin-size model. …”

Significant activation clusters from the contrasts of FSL. by Christos Chatzichristos (9073258)

Significant activation clusters from the contrasts of BTD. by Christos Chatzichristos (9073258)

Significantly differentially abundant microbial taxa at the genus level. by Yoshiaki Sato (2170141)

Base-case model inputs. by Rajabali Daroudi (2824832)

“…</p><p>Method</p><p>We did an economic evaluation of 9 blood pressure screening strategies, including screening annually or every two or three years from the ages of 30, 40, or 50, using the Markov model. The Markov model was designed and implemented based on the natural history of cardiovascular disease in the 2020 TreeAge Pro software. …”

Results based on the MGWR model. by Hongna Dai (21533498)

“…<div><p>To enhance the monitoring accuracy of agglomerate fog on expressways, this paper takes the frequently occurring agglomerate fog data on Shandong’s expressways as an example. Based on the analysis of the spatiotemporal distribution characteristics of agglomerate fog, from the spatial perspective, it employs Geographic Weighted Regression (GWR) and Multi-scale Geographic Weighted Regression (MGWR) models to analyze the influence and scale of factors including Digital Elevation Model (DEM), DEM difference, water system density, Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST) difference, and precipitation on agglomerate fog. …”

Predicted genetic effects of individual and epistasis loci with standard error, significance, and heritability for body surface area in the base model. by Mita Khatun (6038036)

“…<p>Predicted genetic effects of individual and epistasis loci with standard error, significance, and heritability for body surface area in the base model.…”

Supplementary Material for: Deep Learning-Based Model Significantly Improves Diagnostic Performance for Assessing Renal Histopathology in Lupus Glomerulonephritis by Shen L. (5080955)

Schematic diagram of the changes in the significance of LSM factors in each prediction region based on the GWR-PSO-SVM coupled model. by Xianyu Yu (8562045)

“…<p>Schematic diagram of the changes in the significance of LSM factors in each prediction region based on the GWR-PSO-SVM coupled model.…”