Showing 1 - 5 results of 5 for search '"Ventura County, California"', query time: 0.09s Refine Results
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    Optimizing dynamics of integrated food–energy–water systems under the risk of climate change by Milad Memarzadeh, Scott Moura, Arpad Horvath

    Published 2019-01-01
    “…We illustrate the framework on a real-world case study in Ventura County, California.…”
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  3. 3

    Multi-agent management of integrated food-energy-water systems using stochastic games: from Nash equilibrium to the social optimum by Milad Memarzadeh, Scott Moura, Arpad Horvath

    Published 2020-01-01
    “…Illustrating with a real-world case study of FEWS in Ventura County, California, we show the difference between the cooperative and non-cooperative decision making in terms of long-term expected cost of managing the system. …”
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  4. 4

    Risk Factors for Sudden Cardiac Arrest Among Hispanic or Latino Adults in Southern California: Ventura PRESTO and HCHS/SOL by Kyndaron Reinier, Jee‐Young Moon, Harpriya S. Chugh, Arayik Sargsyan, Kotoka Nakamura, Faye L. Norby, Audrey Uy‐Evanado, Gregory A. Talavera, Linda C. Gallo, Martha L. Daviglus, Katy Hadduck, Daniel Shepherd, Angelo Salvucci, Robert C. Kaplan, Sumeet S. Chugh

    Published 2023-10-01
    “…Methods and Results In this case‐control study, adult SCA cases ages 18‐85 (n=1,468) were ascertained in the ongoing Ventura Prediction of Sudden Death in Multi‐Ethnic Communities (PRESTO) study (2015‐2021) in Ventura County, California. Control subjects were selected from 3033 Hispanic or Latino participants who completed Visit 2 examinations (2014–2017) at the San Diego site of the HCHS/SOL (Hispanic Community Health Survey/Study of Latinos). …”
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  5. 5

    Impacts of sea level rise and climate change on coastal plant species in the central California coast by Kendra L. Garner, Michelle Y. Chang, Matthew T. Fulda, Jonathan A. Berlin, Rachel E. Freed, Melissa M. Soo-Hoo, Dave L. Revell, Makihiko Ikegami, Lorraine E. Flint, Alan L. Flint, Bruce E. Kendall

    Published 2015-05-01
    “…We developed a model that quantified the effect of both SLR and climate change on habitat for 88 rare coastal plant species in San Luis Obispo, Santa Barbara, and Ventura Counties, California, USA (an area of 23,948 km2). Our SLR model projects that by the year 2100, 60 of the 88 species will be threatened by SLR. …”
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