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Free, publicly-accessible full text available December 16, 2022
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Rauch, W Liu (Ed.)Water contamination by nitrogen and phosphorus ions has a direct consequence of eutrophication to the ecosystem. The objective of this study is to investigate the production of hydrochars by acetic acid or sodium hydroxide assisted hydrothermal carbonization (HTC), various activation methods, and the potential of hydrochar as an adsorbent to remove NH4+-N and PO43--P from wastewater. The results showed that acetic acid or sodium hydroxide assisted HTC and activation with magnesium chloride or air could improve the surface properties of hydrochar. Acetic acid modification generated extensive oxygenated functional groups, while sodium hydroxide modification produced hydrochar with a high N/C ratiomore »Free, publicly-accessible full text available October 1, 2022
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The Mumbai Suburban Railways, locals, are a key transit infrastructure of the city and is crucial for resuming normal economic activity. Due to high density during transit, the potential risk of disease transmission is high, and the government has taken a wait and see approach to resume normal operations. To reduce disease transmission, policymakers can enforce reduced crowding and mandate wearing of masks. Cohorting – forming groups of travelers that always travel together, is an additional policy to reduce disease transmission on locals without severe restrictions. Cohorting allows us to: (𝑖) form traveler bubbles, thereby decreasing the number of distinctmore »
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Engineering design decisions have non-trivial implications, and empathic approaches are one way that engineers can understand and translate the perspectives of diverse stakeholders. Prior literature demonstrates that students must develop empathic skills and beliefs that these skills are important to embody empathic approaches in meaningful ways. However, we have limited understanding of the relationship between students’ beliefs about the value of empathy in engineering decision making and how they describe their reported use of empathic approaches. We collected qualitative data through interviews with ten undergraduate engineering students in capstone design. We found that our participants espoused a belief that empathicmore »
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The COVID-19 pandemic represents the most significant public health disaster since the 1918 influenza pandemic. During pandemics such as COVID-19, timely and reliable spatiotemporal forecasting of epidemic dynamics is crucial. Deep learning-based time series models for forecasting have recently gained popularity and have been successfully used for epidemic forecasting. Here we focus on the design and analysis of deep learning-based models for COVID-19 forecasting. We implement multiple recurrent neural network-based deep learning models and combine them using the stacking ensemble technique. In order to incorporate the effects of multiple factors in COVID-19 spread, we consider multiple sources such as COVID-19more »
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Singhal, A. ; Vaidya, J. (Ed.)By virtualizing proprietary hardware networking devices, Network Functions Virtualization (NFV) allows agile and cost-effective deployment of diverse network services for multiple tenants on top of the same physical infrastructure. As NFV relies on virtualization, and as an NFV stack typically involves several levels of abstraction and multiple co-resident tenants, this new technology also unavoidably leads to new security threats. In this paper, we take the first step toward modeling and mitigating security threats unique to NFV. Specifically, we model both cross-layer and co-residency attacks on the NFV stack. Additionally, we mitigate such threats through optimizing the virtual machine (VM) placementmore »
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