69 research outputs found

    (The) socio-economics of Lake Kivu fisheries

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    Job number added acc. to DOCREP assignmen

    How to apply the optimal estimation method to your lidar measurements for improved retrievals of temperature and composition

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    The optimal estimation method (OEM) has a long history of use in passive remote sensing, but has only recently been applied to active instruments like lidar. The OEM’s advantage over traditional techniques includes obtaining a full systematic and random uncertainty budget plus the ability to work with the raw measurements without first applying instrument corrections. In our meeting presentation we will show you how to use the OEM for temperature and composition retrievals for Rayleigh-scatter, Ramanscatter and DIAL lidars

    How to apply the optimal estimation method to your lidar measurements for improved retrievals of temperature and composition

    No full text
    The optimal estimation method (OEM) has a long history of use in passive remote sensing, but has only recently been applied to active instruments like lidar. The OEM’s advantage over traditional techniques includes obtaining a full systematic and random uncertainty budget plus the ability to work with the raw measurements without first applying instrument corrections. In our meeting presentation we will show you how to use the OEM for temperature and composition retrievals for Rayleigh-scatter, Ramanscatter and DIAL lidars

    The nexus among climate change, economic growth, foreign direct investments, and financial development: New evidence from N-11 countries

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    The aim of this article is to investigate the relationship between air pollution, economic growth, energy use, trade openness, foreign direct investment, and financial development in N-11 countries data period from 1980 to 2018. For this purpose, it is adopted the Panel Vector Autoregression (PVAR) model for the estimation of the long and short-run effects. The results suggest that although energy consumption and financial development have a negative impact on CO2 emissions, foreign direct investment leads to an increase in pollution. In addition, there is bidirectional causality between financial development and CO2 emissions and energy use, carbon dioxide emissions and energy consumption, foreign direct investments and energy consumption, and financial development and energy consumption. In addition, there is unidirectional causality from carbon dioxide emissions to GDP, from energy consumption to GDP, from foreign direct investments to CO2 emissions and GDP, from financial development to GDP. Finally, impulse-response functions indicate the validity of the EKC hypothesis in these countries

    Exosomes Mediate Mobilization of Autocrine Wnt10b to Promote Axonal Regeneration in the Injured CNS

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    Developing strategies that promote axonal regeneration within the injured CNS is a major therapeutic challenge, as axonal outgrowth is potently inhibited by myelin and the glial scar. Although regeneration can be achieved using the genetic deletion of PTEN, a negative regulator of the mTOR pathway, this requires inactivation prior to nerve injury, thus precluding therapeutic application. Here, we show that, remarkably, fibroblast-derived exosomes (FD exosomes) enable neurite growth on CNS inhibitory proteins. Moreover, we demonstrate that, upon treatment with FD exosomes, Wnt10b is recruited toward lipid rafts and activates mTOR via GSK3β and TSC2. Application of FD exosomes shortly after optic nerve injury promoted robust axonal regeneration, which was strongly reduced in Wnt10b-deleted animals. This work uncovers an intercellular signaling pathway whereby FD exosomes mobilize an autocrine Wnt10b-mTOR pathway, thereby awakening the intrinsic capacity of neurons for regeneration, an important step toward healing the injured CNS
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