Threat factors and their associated attributes. by Shaolei Guo (3146259)

“…The results indicate that: (1) During the study period, the overall land use type in Hebi City has been constantly changing, with the most significant conversion from arable land to other land types; combined with its landscape pattern index, Hebi City has a general characteristic of significant landscape fragmentation and complexity in land use. (2) Habitat quality in Hebi shows an overall trend towards better development, with water availability decreasing and then increasing; the zoning of ecosystem services in Hebi is divided into three classes: superior, good and general, with the area covered by the superior and general classes expanding year by year. (3) Correlation analysis by SPSS software shows that the correlation between habitat quality and landscape pattern index is greater than the correlation between habitat quality and climate change. …”

Threat and species score computation. by Brian M. Myers (19825736)

“…We found that urbanization, the presence of artificial lights, and areas sampled on unconserved land were all significantly associated with decreases in species richness. …”

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:

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). …”

A visual depiction of the system dynamics model used to model threat increases and decreases as functions of stimulus and habituation. by Josh Bullock (15195287)

Sensitivity of different habitat types to threats. by Shaolei Guo (3146259)

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)

Sensitivity of land types to threat factors. by Bo Yang (104813)

“…The results show that: (1) Habitat quality shows significant gradient characteristics, and the overall decreases from southeast to northwest. …”

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). …”

Both MRI and SR-PCI demonstrated significant decreases in clinically-relevant articular cartilage parameters. by Suranjan Bairagi (17087667)

Decrease in cell movement as revealed by IPA. by Afrooz Jahedi (14636554)

Spatial autocorrelation of open defecation usage among households in Ethiopia, EDHS 2016 plotted using ArcMap 10.7. by Daniel Gashaneh Belay (12334351)

Subjects: