Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

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Roadmap of the technical approach. by Jilei Tao (20208621)

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Mediation model illustrating the relationship between eGDR, diabetes, and frailty. by Wentao Yang (205781)

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Parameters related to standard deviational ellipse of tourist attractions accessibility. by Jilei Tao (20208621)

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Tourist attractions accessibility of county-level administrative units. by Jilei Tao (20208621)

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Frequency of accessibility time distribution of tourist attractions at the grid scale. by Jilei Tao (20208621)

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Descriptive characteristics of the sample. by Ronna Bañada (19233063)

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Speed and time cost for different road types. by Jilei Tao (20208621)

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SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

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Scope of the study area. by Jilei Tao (20208621)

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Spatial distribution of accessibility to tourist attractions at the grid scale. by Jilei Tao (20208621)

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Time cost of natural environment. by Jilei Tao (20208621)

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Regression models of COVID-19-related racial discrimination and depression symptoms among the full sample. by Ronna Bañada (19233063)

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Ethnic identity as a moderator among APIDA students. by Ronna Bañada (19233063)

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Traditional Markov transfer matrix (<i>k</i> = 4). by Jilei Tao (20208621)

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Weighted ORs (95% CIs) for the associations between betweenc across three models. by Wentao Yang (205781)

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Regression models of COVID-19-related racial discrimination and anxiety symptoms among the full sample. by Ronna Bañada (19233063)

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Standard deviational ellipse of tourist attractions accessibility. by Jilei Tao (20208621)

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Supply and demand coupling coordination level distribution statistics. by Jilei Tao (20208621)

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A Novel Type of PSMA-Targeting Ligands via β‑Branched Aromatic α‑Amino Acid Modification, Bearing Enhanced Tumor Targeting and Reduced Renal Toxicity by Zong-Xiao Liu (22177765)

“…<i>In vivo</i> PET/CT imaging and biodistribution analysis revealed that β-branched aromatic α-amino acids modified PSMA radioligands could maintain or even improve tumor targeting while exhibiting a more rapid renal clearance rate than [⁶⁸Ga]Ga-<b>PSMA-617</b>. With average renal uptake of less than 10%ID/g, as opposed to 25%ID/g for [⁶⁸Ga]Ga-<b>PSMA-617</b>, this substantial decrease in renal accumulation translates to a significantly improved safety profile by minimizing nephrotoxic risks. …”