DSP: Digital Spatial Profiling. by Jinho Lee (587173)

“…Ki-67, CDK6, and CD45 levels decreased in the LTT group, while INPP4B and BCL6 increased. DHT treatment leads to significant morphological and molecular changes in both benign and cancerous breast tissue. …”

Flowchart of the inclusion process. by Gezahegn Bewket (10219515)

Shot peening process parameters. by Huashen Guan (20454677)

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.…”

Estimation results of the spatial heterogeneity of various influencing factors. by Haining Fang (12982064)

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Spatial distribution of ESs. by Bao Zhou (20670850)

“…The results indicate that: (1) Under all three scenarios in 2035, the trend of LUCs in the karst area of southeastern Yunnan is highly consistent, though the intensity and spatial configuration vary significantly. The least reduction in arable land area occurs under the shared socioeconomic pathways (SSP) 126 scenario, while water bodies and construction land show varying degrees of increase; (2) Regarding ESs, both water yield and soil retention exhibit an increasing trend across all scenarios by 2035, with the most notable rise under SSP126. …”

Literature search and screening process. by Xiaohong Mai (19338585)

Processing flow of GA algorithm. by Zhongbo Peng (16884034)

Experimental process. by Yi Wang (32470)

The estimation of the home range and core activity area of a female red panda released into the wild. by Yanshan Zhou (14131359)

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Schematic of the model used in this simulation. by Takahiro Kohsokabe (18078713)

Table_1_Spatial Frequency Effective for Increasing Perceived Glossiness by Contrast Enhancement.docx by Hiroaki Kiyokawa (440503)

“…Object images with various degrees of surface roughness were generated as stimuli, and their contrast was increased in various spatial-frequency sub-bands. The results indicate that the enhancement of the sub-band contrast can significantly increase perceived glossiness as expected. …”

The intervention process. by Maji Hailemariam (736889)

Decomposition effect of spatial Dubin model. by Zhengtao Li (1718266)

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Decomposition of spatial Dubin model by region. by Zhengtao Li (1718266)

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Illustrates the selection process for the study population. by Jonathan Nadjiri (665209)

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Distribution of noise for spatial AR(0) model. by Kwun Chuen Gary Chan (3641947)

Distribution of noise for spatial AR(3) model. by Kwun Chuen Gary Chan (3641947)

Distribution of noise for spatial AR(2) model. by Kwun Chuen Gary Chan (3641947)

Goodness-of-fit for fitted spatial autoregressive models. by Kwun Chuen Gary Chan (3641947)