Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

Subjects:

Visual representation of the spatial autocorrelation of residuals from the model for each response variable for the full season all taxa dataset, for which honey bee abundance was... by Sydney H. Worthy (16541959)

Spatial autocorrelation analysis of HIV seropositivity among women in Ethiopia. by Tegene Atamenta Kitaw (17930374)

Subjects:

Parasite burden is significantly decreased in the small intestine of <i>taiep</i> infected rats. by Karen Elizabeth Nava-Castro (6940340)

Significant spatial clusters of open defecation practice among households in Ethiopia, EDHS 2016. by Daniel Gashaneh Belay (12334351)

Subjects:

Spatial clustering of high and low rate of HIV seropositivity among women in Ethiopia. by Tegene Atamenta Kitaw (17930374)

Subjects:

Multilevel logistic regression analysis of the predictors of late initiation of first ANC visits among reproductive-age women in Ethiopia, 2019. by Gossa Fetene Abebe (14312001)

Subjects:

Random effect and model comparison for predictors of late initiation of first antenatal care visit among reproductive-age women in Ethiopia, 2019. by Gossa Fetene Abebe (14312001)

Subjects:

TBSS results showing significant AxD and RD changes at baseline and the follow-up. by Sewon Lim (21989785)

“…<p>The regions indicated in green represent the mean white matter skeleton, whereas the regions indicated in red represent the regions with increased AxD (first row) and RD (second row). The decreased diffusivity metrics (AxD and RD) exhibited no statistically significant differences at <i><i>P</i></i> < 0.05 after correcting for multiple comparisons (FWE). …”

Spatial distribution of pregnancy and early motherhood in Ethiopia, 2019 (Source, CSA: 2013). by Nega Tezera Assimamaw (9662208)

Subjects:

CRISPRi knockdown of RgaR-dependent genes specifically and significantly decreases their transcript levels. by Adrianne N. Edwards (5646344)

Spatial distribution of municipality-level winter wheat yields used in this study. by Keach Murakami (11576825)

Subjects:

Significant clusters of open defecation spatial window in Ethiopia, EDHS 2016 plotted using ArcMap 10.7. by Daniel Gashaneh Belay (12334351)

Subjects:

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…(C) In vCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.138 ± 0.065, APP/PS1 = 0.112 ± 0.035, p < 10⁻⁶, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 689 units from 6 recording sessions, n_APP/PS1 = 651 units from 8 recording sessions). …”

Spatial autocorrelation (Moran I) of late initiation of first ANC in Ethiopia, 2019. by Gossa Fetene Abebe (14312001)

Subjects:

500m scale main data of each grid. by Qingxi Shen (3547970)

“…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”

1000m scale main data of each grid. by Qingxi Shen (3547970)

“…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”

2000m scale main data of each grid. by Qingxi Shen (3547970)

“…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”

Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood. by Dennis Ochola (11626912)

S1 Dataset - by Nega Tezera Assimamaw (9662208)

Subjects: