Destination Areas (DAs)
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Destination Areas provide faculty and students with new tools to identify and solve complex, 21st-century problems in which Virginia Tech already has significant strengths and can take a global leadership role. The initiative represents the next step in the evolution of the land-grant university to meet economic and societal needs of the world.
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Browsing Destination Areas (DAs) by Content Type "Editorial material"
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- Connexin 43 peptidic medicine for glioblastoma stem cellsSheng, Zhi (Elsevier, 2021-02-01)
- Extending the Reach of Exendin-4: New Pathways in the Control of Body Weight and Glucose HomeostasisGood, Deborah J. (Endocrine Society, 2012-05)
- Opinion: Mathematical models: A key tool for outbreak responseLofgren, Eric T.; Halloran, M. Elizabeth; Rivers, Caitlin; Drake, John M.; Porco, Travis C.; Lewis, Bryan L.; Yang, Wan; Vespignani, Alessandro; Shaman, Jeffrey; Eisenberg, Joseph N.S.; Eisenberg, Marisa C.; Marathe, Madhav V.; Scarpino, Samuel V.; Alexander, Kathleen A.; Meza, Rafael; Ferrari, Matthew J.; Hyman, James M.; Meyers, Lauren Ancel; Eubank, Stephen (NAS, 2015-01-13)The 2014 outbreak of Ebola in West Africa is unprecedented in its size and geographic range, and demands swift, effective action from the international community. Understanding the dynamics and spread of Ebola is critical for directing interventions and extinguishing the epidemic; however, observational studies of local conditions have been incomplete and limited by the urgent need to direct resources to patient care. Mathematical and computational models can help address this deficiency through work with sparse observations, inference on missing data, and incorporation of the latest information. These models can clarify how the disease is spreading and provide timely guidance to policymakers. However, the use of models in public health often meets resistance (1), from doubts in peer review about the utility of such analyses to public skepticism that models can contribute when the means to control an epidemic are already known (2). Even when they are discussed in a positive light, models are often portrayed as arcane and largely inaccessible thought experiments (3). However, the role of models is crucial: they can be used to quantify the effect of mitigation efforts, provide guidance on the scale of interventions required to achieve containment, and identify factors that fundamentally influence the course of an outbreak.
- Two comments on "Neurodiversity"Lewiecki-Wilson, C.; Dolmage, J.; Heilker, Paul V.; Jurecic, A. (National Council of Teachers of English, 2008-01)
- Understanding the Challenges of Cryptography-Related Cybercrime and Its InvestigationChoi, Sinyong; Parti, Katalin (Boston University, 2022-08-22)Cryptography has been applied to a range of modern technologies which criminals also exploit to gain criminal rewards while hiding their identity. Although understanding of cybercrime involving this technique is necessary in devising effective preventive measures, little has been done to examine this area. Therefore, this paper provides an overview of the two articles, featured in the special issue of the International Journal of Cybersecurity Intelligence and Cybercrime, that will enhance our understanding of cryptography-related crime, ranging from cryptocurrency and darknet market to password-cracking. The articles were presented by the winners of the student paper competition at the 2022 International White Hat Conference.