This study offers a novel approach for examining the variations of effective park service radius (PSR) in parks with different sizes (small, medium, and large parks) and temporal conditions (weekday morning-noon (M-N), weekday afternoon-evening (A-E), weekend M-N, and weekend A-E). Using Shenzhen as an example and employing shared-bike order data, a detection tool was developed to identify the effective PSRs of 228 sample parks under different spatiotemporal conditions. Analysis of variance (ANOVA) was used to investigate the variations in PSRs in parks of different sizes and periods and multiple linear regression models were built to investigate the influential mechanisms of PSRs for different sized parks. We found that: 1) the differences in the PSRs between medium and large parks were not statistically significant (p < 0.05), proving that the PSR did not increase stably with an increase in park size, and the gaps in PSRs between parks of different sizes were smaller than those of the values predefined in most planning codes; 2) the PSRs of different sized parks in all temporal conditions displayed statistically significant differences while only the PSRs of small parks demonstrated significant differences across different periods; 3) restaurants, water features, and attractions showed significant and positive effects on the PSR while sports fields and parking lots showed significant and negative effects on the PSR, and the influence of these factors differed significantly as park size varied. These findings can inform future decision-making and park planning in Shenzhen and other bike-friendly cities.
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http://dx.doi.org/10.1016/j.jenvman.2024.123403 | DOI Listing |
Nat Commun
December 2024
Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA.
Over 80% of biologic drugs, and 90% of vaccines, require temperature-controlled conditions throughout the supply chain to minimize thermal inactivation and contamination. This cold chain is costly, requires stringent oversight, and is impractical in remote environments. Here, we report chemical dispersants that non-covalently solvate proteins within fluorous liquids to alter their thermodynamic equilibrium and reduce conformational flexibility.
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December 2024
PSI Center for Life Sciences, Villigen PSI, Switzerland.
G protein-coupled receptors (GPCRs) are the largest family of cell surface receptors in humans. The binding and dissociation of ligands tunes the inherent conformational flexibility of these important drug targets towards distinct functional states. Here we show how to trigger and resolve protein-ligand interaction dynamics within the human adenosine A receptor.
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December 2024
Molecular Imaging Program at Stanford, Department of Radiology, Stanford University, 300 Pasteur Drive, Stanford, CA, USA.
Molecular imaging using positron emission tomography (PET) provides sensitive detection and mapping of molecular targets. While cancer-associated fibroblasts and integrins have been proposed as targets for imaging of pancreatic ductal adenocarcinoma (PDAC), herein, spatial transcriptomics and proteomics of human surgical samples are applied to select PDAC targets. We find that selected cancer cell surface markers are spatially correlated and provide specific cancer localization, whereas the spatial correlation between cancer markers and immune-related or fibroblast markers is low.
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December 2024
Department of Biochemistry, Duke University School of Medicine, Durham, NC, 27710, USA.
The current opioid crisis urgently calls for developing non-addictive pain medications. Progress has been slow, highlighting the need to uncover targets with unique mechanisms of action. Extracellular adenosine alleviates pain by activating the adenosine A1 receptor (A1R).
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January 2025
School of Natural Resources, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Theory suggests that animals make hierarchical, multiscale resource selection decisions to address the hierarchy of factors limiting their fitness. Ecologists have developed tools to link population-level resource selection across scales; yet, theoretical expectations about the relationship between coarse- and fine-scale selection decisions at the individual level remain elusive despite their importance to fitness. With GPS-telemetry data collected across California, USA, we evaluated resource selection of mountain lions (Puma concolor; n = 244) relative to spatial variation in human-caused mortality risk.
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