Spatial dry and wet side fitting of the TS-NDVI characteristics for different time periods in the Santun River Irrigation Area: (a) 2006/05; (b) 2007/04; (c) 2008/10; (d) 2009/08;... by Yuxin Wei (11510974)

Data Sheet 1_Personalized temporal interference stimulation targeting striatum reduces functional stability and dynamic connectivity variability in the sensorimotor network.docx by Dongsheng Tang (5526149)

“…</p>Results<p>(1) Functional stability: TI stimulation significantly decreased functional stability in bilateral SMA regions (predominantly SMA proper, with parts of pre-SMA) compared to Sham and baseline conditions (P < 0.01). (2) Dynamic functional connectivity: TI stimulation reduced dFC variability between the right striatum and left SMA region (predominantly SMA proper, with parts of pre-SMA) compared to baseline (P < 0.01). (3) Safety: No adverse cognitive effects or side effects were observed, with good blinding effectiveness maintained throughout the study.…”

Supplementary file 1_Does body weight support improve neural and biomechanical measures during treadmill gait in children with unilateral cerebral palsy?.docx by Rajit Banerjee (22481089)

Data source and description. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Analytical framework. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Location of the study area. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Influencing factor index system. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Table 6_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

“…Moreover, the geographic variation was a significant issue affecting the sustainable and balanced performance of public health delivery system in China. …”

Table 2_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

“…Moreover, the geographic variation was a significant issue affecting the sustainable and balanced performance of public health delivery system in China. …”

Table 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

“…Moreover, the geographic variation was a significant issue affecting the sustainable and balanced performance of public health delivery system in China. …”

Table 3_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

“…Moreover, the geographic variation was a significant issue affecting the sustainable and balanced performance of public health delivery system in China. …”

Image 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.pdf by Qian Bai (605328)

“…Moreover, the geographic variation was a significant issue affecting the sustainable and balanced performance of public health delivery system in China. …”

Table 5_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

“…Moreover, the geographic variation was a significant issue affecting the sustainable and balanced performance of public health delivery system in China. …”

Table 4_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

“…Moreover, the geographic variation was a significant issue affecting the sustainable and balanced performance of public health delivery system in China. …”

Data Sheet 1_Freshwater transport variation through Fram and Davis Strait influenced by atmospheric circulation.pdf by Jinlong Zhang (175134)

“…Instead, we observed distinct temporal shifts in regional freshwater export patterns: The FWT in Fram Strait experienced significant increase prior to the 21st century (trend of 10.14 mSv/10yr during 1980-2000), whereas the FWT in Davis Strait showed acceleration after 2000 (trend of 13.69 mSv/10yr). …”