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Individuals diagnosed with cancer are a vulnerable population during disasters. Emergency preparedness efforts are crucial for meeting the health and safety needs of patients, health-care professionals, health-care facilities, and communities before, during, and after a disaster. Recognizing the importance of advancing emergency preparedness expertise to cancer control efforts nationwide, especially in the era of climate change, we searched National Cancer Institute–designated cancer centers' websites to examine emergency preparedness information sharing and evidence of research efforts focused on disaster preparedness. Of 71 centers, 56 (78.9%) presented some emergency preparedness information, and 36 (50.7%) presented information specific to individuals diagnosed with cancer. Only 17 (23.9%) centers provided emergency preparedness information for climate-driven disasters. Informed by these data, this commentary describes an opportunity for cancer centers to lead knowledge advancement on an important aspect of climate change adaptation: disaster preparedness. [ABSTRACT FROM AUTHOR]

Background: The Rapid Assessment Disuse Index (RADI) is a brief tool aimed to promptly assess primary care patients' overall physical inactivity and sedentary behavior. This study examines the relation between physical inactivity and sitting time (RADI) to cardiometabolic risk among primary care patients. Methods: Survey data and electronic medical record information were collated to explore the association between RADI scores (cumulative and sitting) to metabolic syndrome (and components) among women and men, using multivariable logistic regression. Results: Among women, the cumulative RADI score was not significantly associated with metabolic syndrome. However, the RADI sitting score was related to low high-density lipoprotein cholesterol and metabolic syndrome. That is, a transition to a higher RADI sitting score by 1 unit (vs remaining in the score) was related with a 1.4 and 1.3 times higher odds for having low high-density lipoprotein cholesterol (95% confidence interval, 1.05-1.87) and metabolic syndrome (95% confidence interval, 1.02-1.64), respectively. Among men, no significant relations were found. Conclusions: The RADI sitting score is positively and significantly related to high-density lipoprotein and metabolic syndrome among women, yet not men. Due to the RADI's potential clinical utility, future research should attempt to examine these relations in larger, more robust samples and adjudicated outcomes using a prospective design. [ABSTRACT FROM AUTHOR]

The paper presents results and analysis of a methodology for automatic building extraction that integrates remote sensing sources and readily available geographic information system data (tax assessor parcel data). The methodology consists of a series of image processing and spatial analysis techniques and incorporates an initial simplification, parcel-based image partitioning procedure. The results showed great promise for such image partitioning in reducing the complexity of the building extraction procedure by localizing its search while maintaining the integrity of the structures (85 percent of buildings reside completely within parcels and the majority of the rest consists of very small portions outside the parcel boundaries). Herein, we discuss the results as they apply to three distinct building types (commercial, residential, and high-rise). The paper presents successful building extraction scenarios as well as challenges, difficulties and drawbacks of the process and identifies the underlying factors that impact the success of footprint extraction for each type of building. The results show that 83 percent of commercial buildings are successfully extracted with average footprint area discrepancy less than 10 percent, while challenges in high-rise and residential scenes are examined and further investigated. [ABSTRACT FROM AUTHOR]

Initial building footprint extraction as well as inventory update are still achieved via manual, labor-consuming digitizing from imagery. An extraction methodology is presented that integrates automatic and manual processes. This integration provides the advantage of a repetitive action accomplished by a computer and superior human decision making. The suggested approach incorporates readily available GIS parcels layers to provide an easily replicable simplification process that can precede any extraction procedure. The results emphasize a great savings in time (and subsequently in cost) by using parcel-based partitioning during the image preprocessing and integrating with current common extraction workflows, including manual digitizing. We present a quantitative comparison between the suggested methodology and both an automatic and a fully manual extraction procedure. The approach shows consistent savings of more than 30 percent in time, extracting buildings for both commercial and residential parcels. [ABSTRACT FROM AUTHOR]

One of the most challenging problems in digital photogrammetry todayis automatic extraction of cartographic features from large-scale aerial images. Automatic detection of such features in general, and buildings in particular, will significantly improve the map compilation process as well as other tasks, such as DEM and orthophoto generation. This paper presents a semiautomatic approach for the extraction of buildings from large-scale images. The main goal is to recover three-dimensional (3D) outlines of buildings. The extraction should be sufficiently accurate, reliable, and efficient in order to comply with the high standards set by the photogrammetric community. In order to obtain a 3D description, the approach comprises stereo analysis for extracting building heights, along with a general knowledge of building geometry and shadow information. The paper explains the approach, presents experiments, and discusses the results. [ABSTRACT FROM AUTHOR]

Individuals diagnosed with cancer are a vulnerable population during disasters. Emergency preparedness efforts are crucial for meeting the health and safety needs of patients, health-care professionals, health-care facilities, and communities before, during, and after a disaster. Recognizing the importance of advancing emergency preparedness expertise to cancer control efforts nationwide, especially in the era of climate change, we searched National Cancer Institute-designated cancer centers' websites to examine emergency preparedness information sharing and evidence of research efforts focused on disaster preparedness. Of 71 centers, 56 (78.9%) presented some emergency preparedness information, and 36 (50.7%) presented information specific to individuals diagnosed with cancer. Only 17 (23.9%) centers provided emergency preparedness information for climate-driven disasters. Informed by these data, this commentary describes an opportunity for cancer centers to lead knowledge advancement on an important aspect of climate change adaptation: disaster preparedness., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)