Julieta Sarno

Julieta Sarno

Contact

Julieta Sarno

  1. 2022
  2. Published

    The Immunisation against COVID-19 as a Global Public Good

    Bäumler, J. & Sarno, J., 01.01.2022, In: Zeitschrift für ausländisches öffentliches Recht und Völkerrecht . 82, 1, p. 159-193 35 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

Recently viewed

Publications

  1. Spatial distribution models in a frugivorous carnivore, the stone marten (Martes foina)
  2. Modelling of a servo piezo mechanical hydraulic actuator and its feed-forward control
  3. Incorporating threat in hotspots and coldspots of biodiversity and ecosystem services
  4. Optimization of transport flow on two paths with respect to the passengers time costs
  5. A theoretical multiscale analysis of electrical field for fuel cells stack structures
  6. Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
  7. Modeling High Aswan Dam Reservoir Morphology Using Remote Sensing to Reduce Evaporation
  8. Technical and economic assessment of food waste valorization through a biorefinery chain
  9. The Relation of Children's Performances in Spatial Tasks at Two Different Scales of Space
  10. (Urban) Sacred Places and Profane Spaces—Theological Topography in T. S. Eliot’s The Waste Land
  11. Quality of Firms' Exports and Distance to Destination Countries: First Evidence from Germany
  12. Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
  13. Sustainable software products—Towards assessment criteria for resource and energy efficiency
  14. Diversity and composition of arboreal beetle assemblages in tropical pasture afforestations
  15. Lehre und Forschung im Projekt „Naturwissenschaftlichen Unterricht inklusiv gestalten“ (Nawi-In)
  16. Simple relay non-linear PD control for faster and high-precision motion systems with friction
  17. Is neoliberalism still spreading? The impact of international cooperation on capital taxation
  18. A wavelet-based algorithm without a priori knowledge of noise level for gross errors detection