Words for describing activities that decrease and/or increase Subjective Well-Being. by August Håkan Nilsson (12937056)

Subjects:

Spatial heterogeneity in the impact of digital financial inclusion on the carbon reduction gap in agricultural regions. by Lingzhi Tan (19146572)

Nasal microbiota features significantly associate with the presence of clinical signs. by Holly Kristin Arnold (14204655)

Gut microbiota features significantly associate with the presence of clinical signs. by Holly Kristin Arnold (14204655)

Gut and nasal microbiome features have significantly different pairwise distance distributions compared to null expectation. by Holly Kristin Arnold (14204655)

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:

Gut microbiome features significantly associated with clinical signs show evidence of phylogenetic clustering while nasal microbiome features show evidence of phylogenetic overdisp... by Holly Kristin Arnold (14204655)

Increasing gaps and decreasing returns attenuate spending effects. by William Minozzi (8564712)

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

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). …”

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)

Data_Sheet_1_Significant Global Yield-Gap Closing Is Possible Without Increasing the Intensity of Environmentally Harmful Nitrogen Losses.docx by Andrew Smerald (12416149)

Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations. by Dennis Ochola (11626912)

Binary comparison matrix of increasing and decreasing trends in fire density from summer to autumn and comparison of different cases of spatial overlap of these spatial trends. by Peyman Karami (5909264)

ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”