Tourism determinants’ marginal effects. by Sakar Hasan Hamza (20978818)

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Descriptive statistics from 2005 to 2018. by Sakar Hasan Hamza (20978818)

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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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Hausman test results. by Sakar Hasan Hamza (20978818)

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The LR test is used to determine whether models contain fixed effects. by Sakar Hasan Hamza (20978818)

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Variable’s construction. by Sakar Hasan Hamza (20978818)

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Moran’s I across countries. by Sakar Hasan Hamza (20978818)

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Raw dataset. by Sakar Hasan Hamza (20978818)

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Positive correlation between tourist arrivals per capita & level of prices. by Sakar Hasan Hamza (20978818)

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Global spatial autocorrelation analysis results of human rabies incidence rates in China’s 31 provinces from 2004–2020. by Weiwei Meng (304234)

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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)

SWE areas gained and lost with sea-level rise. by Hirotada Moki (17441869)

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The spatial distribution of dengue incidence rate per million by month across districts of Bangladesh in 2023. by Kamal Hossain (331680)

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The spatial distribution of dengue incidence rate per million by month across districts of Bangladesh in 2022. by Kamal Hossain (331680)

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Analysis of Significantly Different Bacteria. by Xu Jia (187142)

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

Spatial evolution trend of green finance index. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Spatial evolution of urban EE in western China. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”