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Mortality assessments are conducted for both civil and commercial purposes. Recent advances in epigenetics have resulted in DNA methylation tools to assess risk and aid in this task. However, widely available array-based algorithms are not readily translatable into clinical tools and do not provide a good foundation for clinical recommendations. Further, recent work shows evidence of heritability and possible racial bias in these indices. Using a publicly available array data set, the Framingham Heart Study (FHS), we develop and test a five-locus mortality-risk algorithm using only previously validated methylation biomarkers that have been shown to be free of racial bias, and that provide specific assessments of smoking, alcohol consumption, diabetes and heart disease. We show that a model using age, sex and methylation measurements at these five loci outperforms the 513 probe Levine index and approximates the predictive power of the 1030 probe GrimAge index. We then show each of the five loci in our algorithm can be assessed using a more powerful, reference-free digital PCR approach, further demonstrating that it is readily clinically translatable. Finally, we show the loci do not reflect ethnically specific variation. We conclude that this algorithm is a simple, yet powerful tool for assessing mortality risk. We further suggest that the output from this or similarly derived algorithms using either array or digital PCR can be used to provide powerful feedback to patients, guide recommendations for additional medical assessments, and help monitor the effect of public health prevention interventions. [ABSTRACT FROM AUTHOR]

This paper juxtaposes existing public policies and different planning paradigms with evidence from the first wave of the COVID-19 pandemic in New York City (NYC). Zip code tabulation area (ZCTA) data for NYC are used to address four main questions: (1) How do urban density and crowding affect infection rates? (2) How does the commuting environment relate to pandemic resilience? (3) How does the allocation of points of interest within a city impact the infection rate? (4) How do evident inequalities in a city influence vulnerability during a pandemic? The presented evidence is used to demonstrate that compact, well-mixed, and decentralized cities can increase pandemic resilience due to advantageous features such as short commute times and well-distributed points of interest. At the architectural level, more resilient apartment building typologies need to be developed to mitigate the ramifications of overcrowding. This analysis also reveals significant spatial disparities and how they disproportionally affect the pandemic risk of the vulnerable communities. These findings warrant a broader discussion on how urban design and planning can mitigate inequalities and transform cities into a resilient, inclusive, and sustainable urban environment. [ABSTRACT FROM AUTHOR]

• Annual outdoor thermal comfort evaluation workflow is introduced. • 60 typology and density scenarios in three hot climatic contexts were evaluated. • Annual energy balance and outdoor thermal comfort results were recorded iteratively. • The impact of urban form on energy performance and outdoor comfort is discussed. • This method helps integrate environmental quality considerations in urban design. With the rise of awareness of health and well-being in cities, urban environmental analysis should expand from energy performance to new environmental quality-based considerations. The limited potential to annually evaluate outdoor thermal comfort, predominant among these considerations, has restricted the exploration of the interrelations between urban morphology and annual energy performance. This study aims to bridge this gap by capitalizing on the new capabilities of Eddy3D – a Grasshopper plugin which enables effective calculations of hourly microclimatic wind factors via OpenFOAM which in turn are used to generate annual outdoor thermal comfort plots. Using this method, a parametric study was conducted for different typology and density scenarios in three different hot climatic contexts in Israel. The automated analytical workflow evaluated a total of 60 design iterations for their energy balance, outdoor thermal comfort autonomy (OTCA) and self-shading levels using the shade index. The high correlation found here between the annual shade index and the OTCA, across all climatic contexts, shows the potential of the shade index to serve as an effective indicator, in these contexts, for comparative or optimization outdoor comfort studies. Further results are both the superiority of the courtyard typology in both energy and outdoor comfort studies, and the contrasting impact of higher density on the annual energy balance (lower performance) and outdoor thermal comfort (higher performance) in hot climates. The annual plots of both the energy balance and OTCA reveal various seasonal and monthly trends in the three different climatic zones which can lead to localized and seasonal urban design strategies. [ABSTRACT FROM AUTHOR]

Reports from a variety of bodies have highlighted the role that carbon dioxide removal (CDR) technologies and practices must play in order to try to avoid the worst effects of anthropogenic climate change. Research into the feasibility of these technologies is primarily undertaken by scholars in the natural sciences, yet, as we argue in this commentary, there is great value in collaboration between these scholars and their colleagues in the social sciences. Spurred by this belief, in 2019, a university and a non-profit organization organized and hosted a workshop in Washington, DC, intended to bring natural and physical scientists, technology developers, policy professionals and social scientists together to explore how to better integrate social science knowledge into the field of CDR research. The workshop sought to build interdisciplinary collaborations across CDR topics, draft new social science research questions and integrate and exchange disciplinary-specific terminology. But a snowstorm kept many social scientists who had organized the conference from making the trip in person. The workshop went on without them and organizers did the best they could to include the team remotely, but in the age before daily video calls, remote participation was not as successful as organizers had hoped. And thus, a workshop that was supposed to focus on social science integration moved on, without many of the social scientists who organized the event. The social scientists in the room were supposed to form the dominant voice but with so many stuck in a snow storm, the balance of expertise shifted, as it often does when social scientists collaborate with natural and physical scientists. The outcomes of that workshop, lessons learned and opportunities missed, form the basis of this commentary, and they collectively indicate the barriers to integrating the natural, physical and social sciences on CDR. As the need for rapid, effective and successful CDR has only increased since that time, we argue that CDR researchers from across the spectrum must come together in ways that simultaneously address the technical, social, political, economic and cultural elements of CDR development, commercialization, adoption and diffusion if the academy is to have a material impact on climate change in the increasingly limited window we have to address it., Competing Interests: We declare we have no competing interests., (© 2020 The Author(s).)