Human Health

Brown, Heidi E.; Comrie, Andrew C.; Drechsler, Deborah M.; Barker, Christopher M.; Basu, Rupa; Brown, Timothy J.; Gershunov, Alexander; Kilpatrick, A. Marm; Reisen, William K.; Ruddell, Darren; English, Paul

doi:10.5822/978-1-61091-484-0_15

Cited by 6 publications

(1 citation statement)

References 102 publications

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“…1,2 Most of these studies have been performed by exposing organisms to different mass concentrations of ENPs and assessing the mass-based concentration of the particles accumulated in tissues. 3 The toxicokinetics of ENPs, which also are known as nanotoxicokinetics, 4 cannot be described solely on a mass basis as is the case of classical chemicals. 5 Unlike chemicals, ENPs have such physicochemical properties as particle size, number, volume-specific surface area, and composition; 6 that may affect their toxicokinetics.…”

Section: ■ Introductionmentioning

confidence: 99%

Method for Extraction and Quantification of Metal-Based Nanoparticles in Biological Media: Number-Based Biodistribution and Bioconcentration

Monikh

Chupani

Zusková

et al. 2018

Environ. Sci. Technol.

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License: Article 25fa pilot End User Agreement This publication is distributed under the terms of Article 25fa of the Dutch Copyright Act (Auteurswet) with explicit consent by the author. Dutch law entitles the maker of a short scientific work funded either wholly or partially by Dutch public funds to make that work publicly available for no consideration following a reasonable period of time after the work was first published, provided that clear reference is made to the source of the first publication of the work. This publication is distributed under The Association of Universities in the Netherlands (VSNU) 'Article 25fa implementation' pilot project. In this pilot research outputs of researchers employed by Dutch Universities that comply with the legal requirements of Article 25fa of the Dutch Copyright Act are distributed online and free of cost or other barriers in institutional repositories. Research outputs are distributed six months after their first online publication in the original published version and with proper attribution to the source of the original publication. You are permitted to download and use the publication for personal purposes. All rights remain with the author(s) and/or copyrights owner(s) of this work. Any use of the publication other than authorised under this licence or copyright law is prohibited. If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons.

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Section: ■ Introductionmentioning

confidence: 99%

Method for Extraction and Quantification of Metal-Based Nanoparticles in Biological Media: Number-Based Biodistribution and Bioconcentration

Monikh

Chupani

Zusková

et al. 2018

Environ. Sci. Technol.

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Mapping built environments from UAV imagery: a tutorial on mixed methods of deep learning and GIS

2022

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Evidence has suggested that built environments are significantly associated with residents’ health and the conditions of built environments vary between neighborhoods. Recently, there have been remarkable technological advancements in using deep learning to detect built environments on fine spatial scale remotely sensed images. However, integrating the extracted built environment information by deep learning with geographic information systems (GIS) is still rare in existing literature. This method paper presents how we harnessed deep leaning techniques to extract built environments and then further utilized the extracted information as input data for analysis and visualization in a GIS environment. Informative guidelines on data collection with an unmanned aerial vehicle (UAV), greenspace extraction using a deep learning model (specifically U-Net for image segmentation), and mapping spatial distributions of greenspace and sidewalks in a GIS environment are offered. The novelty of this paper lies in the integration of deep learning into the GIS decision-making system to identify the spatial distribution of built environments at the neighborhood scale.

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Trends in weather type frequencies across North America

Lee

Sheridan

2018

npj Clim Atmos Sci

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While 20th century changes in many individual meteorological variables are well documented, the trends in multivariate synopticscale air masses-or weather types-largely remain unexplored. Utilizing a recently developed gridded weather typing classification system, this research investigates the changes in the frequency of weather types (WTs) across North America, 1979America, -2017. Averaged across the study domain as a whole, Humid Warm WTs are occurring 22 more days per year, while Dry Warm WTs have increased by 10 days/year. These increases are offset mostly by decreased frequency of Dry Cool (−17 days/year) and Cool WTs (−21 days/year). The largest absolute changes are in the Canadian Archipelago, where the Warm WT is occurring 42 more days/year and the Cool WT is occurring 48 fewer times per year. In western Canada all humid types are occurring more frequently, including a Humid Cool type that is occurring 16 more days/year. The Desert Southwest US and northern Mexico show significant increases in Dry Warm WTs (+33 to +40 days/year). Cold front and warm front passages show increases in most of the US and decreases in most of Canada. Describing these secular changes to the frequency of intuitive weather types may be an effective means of communicating these climate trends to policymakers and the general public, especially considering their large magnitude.

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Human Health

Cited by 6 publications

References 102 publications

Method for Extraction and Quantification of Metal-Based Nanoparticles in Biological Media: Number-Based Biodistribution and Bioconcentration

Method for Extraction and Quantification of Metal-Based Nanoparticles in Biological Media: Number-Based Biodistribution and Bioconcentration

Mapping built environments from UAV imagery: a tutorial on mixed methods of deep learning and GIS

Trends in weather type frequencies across North America

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