Excel_ESs and transfer matrix. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Data sources and descriptions. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Coupling coordination types. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Results_urban-fringe-rural. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Wetland classification scheme for the contemporary period. by Nic Gedney (19762301)

Decadal seasonality of the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

Plots summarising the fixed effect coefficient estimates from fitting the generalised linear mixed effects models to contact matrices calculated at a resolution of 10 kb. by Tze Yee Lim (22057822)

WGCNA as well as the co-expression network. by Hao Wang (39217)

Supplementary file 1_Monitoring the dual-season hydrological dynamics of the Pong reservoir in Himachal Pradesh, India.docx by Rajesh Sarda (13162317)

“…The study employed a spatial linear trend modelling approach to identify trends in relative water depth, revealing a decreasing trend and a quantifiable reduction in the reservoir’s depth for both seasons. …”

Composition of total phenols in milligram gallic acid equivalents per gram (mg GAE/g), flavonoid and tannin as catechin equivalents (mg CTE/g), saponin (g/Kg) and alkaloids (%) in... by Kebede Gelgelo (20329794)

Subjects:

Correlation between season, altitude and the secondary metabolite examined in <i>Commelina</i> species. by Kebede Gelgelo (20329794)

Subjects:

ANOVA table for effect of season, species, altitude and their interaction on secondary metabolite composition of <i>Commelina</i> species. by Kebede Gelgelo (20329794)

Subjects:

Composition of total phenols in milligram gallic acid equivalents per gram (mg GAE/g), flavonoid and tannin as catechin equivalents (mg CTE/g), saponin (g/Kg) and alkaloids (%) in... by Kebede Gelgelo (20329794)

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Seasonal variability in the secondary metabolite content of <i>Commelina</i> species. by Kebede Gelgelo (20329794)

Subjects:

Altitudinal variability in the secondary metabolite content of <i>Commelina</i> species. by Kebede Gelgelo (20329794)

Subjects:

Composition of total phenols in milligram gallic acid equivalents per gram (mg GAE/g), flavonoid and tannin as catechin equivalents (mg CTE/g), saponin (g/Kg) and alkaloids (%) in... by Kebede Gelgelo (20329794)

Subjects:

Composition of total phenols in milligram gallic acid equivalents per gram (mg GAE/g), flavonoid and tannin as catechin equivalents (mg CTE/g), saponin (g/Kg) and alkaloids (%) in... by Kebede Gelgelo (20329794)

Subjects:

The relationship between longer TV watching time and risk of cognitive impairment. by Hattapark Dejakaisaya (22238613)

Participants enrollment. by Chikondi Maluwa (20660522)

“…Among the 422 caregivers who participated in the study, 267 (63.2%) were females and mean age was 44.94 years. The baseline mean knowledge level score was 9.5 (38.0%) and rose to 21.08 (84.3%) p = 0.000 immediate post-health education and a 2.1% decrease 20.54 (82.2%) p<0.001 at week six from the immediate post health education score. …”

KAP assessment scores (n = 422). by Chikondi Maluwa (20660522)

“…Among the 422 caregivers who participated in the study, 267 (63.2%) were females and mean age was 44.94 years. The baseline mean knowledge level score was 9.5 (38.0%) and rose to 21.08 (84.3%) p = 0.000 immediate post-health education and a 2.1% decrease 20.54 (82.2%) p<0.001 at week six from the immediate post health education score. …”