Differences in inter-regional synergy of HER and DIC in China. by Ying Xie (50016)

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Distribution of synergy between HER and DIC in the western region. by Ying Xie (50016)

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Sources of overall differences in China’s synergy of HER and DIC. by Ying Xie (50016)

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S1 Data - by Ying Xie (50016)

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The Gini coefficient of CCD in China and four major regions. by Ying Xie (50016)

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Distribution of synergy between HER and DIC in the central region. by Ying Xie (50016)

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Source and contribution rate of regional differences in synergy of HER and DIC. by Ying Xie (50016)

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Spatial Dubin panel model estimation results. by Xiaoyu Wan (644814)

“…It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.…”

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). …”

Models 7 to 12: estimation results. by Sakar Hasan Hamza (20978818)

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Models 1 to 6: estimation results. by Sakar Hasan Hamza (20978818)

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Summary of OLS results and diagnostics for anemia among WRA in Ethiopia, EDHS 2016. by Daniel Gashaneh Belay (12334351)

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A complete list of egg samples indicating the collection year, area, and results of analyses. by Matti Viluksela (321291)

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Spatial characteristics of cultivated land loss in China during 2000~2020. by Wenqi Zhang (2953815)

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Spatial characteristics of cultivated land expansion in China during 2000~2020. by Wenqi Zhang (2953815)

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Spatial patterns of LUC in 2035 different scenarios. by Bao Zhou (20670850)

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Results of the global spatial autocorrelation analysis on HFMD incidence in Mainland China, 2009–2018. by Yuanzhe Wu (13281638)

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Fixed effects and panel quantile regression results. by Wenping Ning (19871091)

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2015–2019 national ozone pollution level Moran’<i>I</i> index and its inspection results. by Li-Min Wang (783263)

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Networks favouring more connected individuals results in a significant decrease to the likelihood of network recovery. by Adam Lee Miles (14123916)