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14,475 Projects

  • 2022-2022
  • 2019
  • 2022

10
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  • Funder: NSF Project Code: 2002853
    Funder Contribution: 137,038 USD
  • Funder: NIH Project Code: 5R21CA243911-02
    Funder Contribution: 175,088 USD
  • Funder: NIH Project Code: 1F31DK121394-01A1
    Funder Contribution: 30,627 USD
  • Funder: NIH Project Code: 1R15MH121859-01
    Funder Contribution: 425,478 USD
  • Funder: EC Project Code: 842460
    Overall Budget: 172,932 EURFunder Contribution: 172,932 EUR

    Urban and peri-urban agriculture (UA) has emerged as a more sustainable alternative to produce food. UA has several types of emerging systems (ES) that are exponentially growing from an experimental to an industrial scale of development. UA-ES include vertical farming, integrated greenhouse rooftops in buildings, local woodsheds, etc. UA-ES are expected to reach mature levels of development in the mid to long-term future and are being designed to recirculate and minimise the use of resources (e.g. nutrients, water, substrates and CO2) for production of low carbon intensity food in cities, among other benefits. Therefore, it is expected that UA-ES will provide more sustainable food production compared to rural, more-traditional agriculture systems in terms of energy and water use as well as benefits for air quality and biodiversity in cities. Understanding and quantifying the effective contribution that UA-ES will make to the environmental sustainability of cities requires the ability to both evaluate UA-ES environmental impacts in the future and to compare them to the impacts of traditional agriculture in the same future context. The project PROspecTive Environmental AssessmeNt of Urban Agriculture-Emerging Systems (PROTEAN) will focus on developing temporally-explicit environmental impact assessment models for both UA-ES and traditional agriculture to determine the extent to which UA-ES may contribute to the sustainability of future food production. These ex-ante, temporally-explicit environmental impact assessments will also help to flag influenceable system parameters that can make UA-ES more environmentally sustainable in the future. Thus, future undesired environmental impacts, costs, and effects may be more easily avoided for UA-ES than for mature agriculture systems. Providing assertive guidance on how to improve UA-ES depends on our current capacity to understand the key leavers of change that may drive the future impacts of these systems.

  • Funder: NSF Project Code: 2002760
    Funder Contribution: 359,755 USD
  • Funder: WT Project Code: 220066

    Antibiotic resistance is a global health issue that threatens modern medicine and how we treat bacterial infections. Investigating how bacteria live is important to fight against antibiotic resistance as it can lead to new approaches for dealing with bacterial infections, and new targets for antibiotics. The research project we are proposing aims to further our understanding of a system called Tol-Pal in a class of bacteria called Gram negatives. Tol-Pal has been shown to have a role in cell division and is important for the growth of Gram-negative bacteria. At the moment, we do not fully understand how the components of Tol-Pal work together to carry out this function. In this project we hope to use structural biology techniques to see what a complex of three of the proteins in the Tol-Pal system, TolQRA, look like. We hope that finding out what TolQRA looks like will help us to investigate the mechanism of TolQRA within the Tol-Pal system, and further our understanding of Gram-negative bacteria and how they work.

  • Funder: NIH Project Code: 5F31AA027140-03
    Funder Contribution: 36,775 USD
  • Funder: NIH Project Code: 1R01GM127527-01A1
    Funder Contribution: 395,280 USD
  • Funder: NIH Project Code: 5F31AA027949-02
    Funder Contribution: 43,920 USD
Advanced search in
Projects
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
14,475 Projects
  • Funder: NSF Project Code: 2002853
    Funder Contribution: 137,038 USD
  • Funder: NIH Project Code: 5R21CA243911-02
    Funder Contribution: 175,088 USD
  • Funder: NIH Project Code: 1F31DK121394-01A1
    Funder Contribution: 30,627 USD
  • Funder: NIH Project Code: 1R15MH121859-01
    Funder Contribution: 425,478 USD
  • Funder: EC Project Code: 842460
    Overall Budget: 172,932 EURFunder Contribution: 172,932 EUR

    Urban and peri-urban agriculture (UA) has emerged as a more sustainable alternative to produce food. UA has several types of emerging systems (ES) that are exponentially growing from an experimental to an industrial scale of development. UA-ES include vertical farming, integrated greenhouse rooftops in buildings, local woodsheds, etc. UA-ES are expected to reach mature levels of development in the mid to long-term future and are being designed to recirculate and minimise the use of resources (e.g. nutrients, water, substrates and CO2) for production of low carbon intensity food in cities, among other benefits. Therefore, it is expected that UA-ES will provide more sustainable food production compared to rural, more-traditional agriculture systems in terms of energy and water use as well as benefits for air quality and biodiversity in cities. Understanding and quantifying the effective contribution that UA-ES will make to the environmental sustainability of cities requires the ability to both evaluate UA-ES environmental impacts in the future and to compare them to the impacts of traditional agriculture in the same future context. The project PROspecTive Environmental AssessmeNt of Urban Agriculture-Emerging Systems (PROTEAN) will focus on developing temporally-explicit environmental impact assessment models for both UA-ES and traditional agriculture to determine the extent to which UA-ES may contribute to the sustainability of future food production. These ex-ante, temporally-explicit environmental impact assessments will also help to flag influenceable system parameters that can make UA-ES more environmentally sustainable in the future. Thus, future undesired environmental impacts, costs, and effects may be more easily avoided for UA-ES than for mature agriculture systems. Providing assertive guidance on how to improve UA-ES depends on our current capacity to understand the key leavers of change that may drive the future impacts of these systems.

  • Funder: NSF Project Code: 2002760
    Funder Contribution: 359,755 USD
  • Funder: WT Project Code: 220066

    Antibiotic resistance is a global health issue that threatens modern medicine and how we treat bacterial infections. Investigating how bacteria live is important to fight against antibiotic resistance as it can lead to new approaches for dealing with bacterial infections, and new targets for antibiotics. The research project we are proposing aims to further our understanding of a system called Tol-Pal in a class of bacteria called Gram negatives. Tol-Pal has been shown to have a role in cell division and is important for the growth of Gram-negative bacteria. At the moment, we do not fully understand how the components of Tol-Pal work together to carry out this function. In this project we hope to use structural biology techniques to see what a complex of three of the proteins in the Tol-Pal system, TolQRA, look like. We hope that finding out what TolQRA looks like will help us to investigate the mechanism of TolQRA within the Tol-Pal system, and further our understanding of Gram-negative bacteria and how they work.

  • Funder: NIH Project Code: 5F31AA027140-03
    Funder Contribution: 36,775 USD
  • Funder: NIH Project Code: 1R01GM127527-01A1
    Funder Contribution: 395,280 USD
  • Funder: NIH Project Code: 5F31AA027949-02
    Funder Contribution: 43,920 USD
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