ParisTech

About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Residual stress & Finite element method. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.

Climate policy architecture for the Cancun paradigm shift: building on the lessons from history

Abstract: The economics of climate policy after Rio led to a climate centric paradigm which departs from the original UNFCCC’s cooperative framework for designing climate policies from the perspective of sustainable development. This resulted in a cap-and-trade approach which aims to mitigate the adverse effects on development through appropriate transfers to achieve fair burden sharing. However, the continuation of this paradigm cannot untie the development-climate Gordian knot. (The Gordian Knot refers to a seemingly intractable problem. According to a Greek legend, Gordios arrived in Phrygia in an ox cart, was made King and dedicated his cart to Zeus, tying it up with an intricate knot. The person who would untie the knot would rule Asia. Alexander the Great found a solution by cutting it with his sword. Hourcade et al. (The design of climate policy. MIT Press, Cambridge, p 408, 2008) explain that, after Rio Earth Summit (1992), the climate negotiations remained disengaged from the debates on development pathways, thus tying up a new Gordian knot of misunderstandings.) Instead one loses sight of the benefits of cooperation in a global agreement to abate GHGs emissions. The challenge is now to align the development and climate objectives taking into consideration the changing context since the 1990s which includes a re-equilibrium of the world economic balance and the adverse context created by the 2008 financial crisis. This paper proposes that carbon finance should be considered as part of a general reform of the financial system. The adoption of a carbon value as a notional price could trigger a wave of low-carbon investments in the world thereby redirecting some global savings towards low-carbon investments, thus providing a lever for equitable access to development.

Hierarchy and extremes in selections from pools of randomized proteins

Abstract: Variation and selection are the core principles of Darwinian evolution, but quantitatively relating the diversity of a population to its capacity to respond to selection is challenging. Here, we examine this problem at a molecular level in the context of populations of partially randomized proteins selected for binding to well-defined targets. We built several minimal protein libraries, screened them in vitro by phage display, and analyzed their response to selection by high-throughput sequencing. A statistical analysis of the results reveals two main findings. First, libraries with the same sequence diversity but built around different “frameworks” typically have vastly different responses; second, the distribution of responses of the best binders in a library follows a simple scaling law. We show how an elementary probabilistic model based on extreme value theory rationalizes the latter finding. Our results have implications for designing synthetic protein libraries, estimating the density of functional biomolecules in sequence space, characterizing diversity in natural populations, and experimentally investigating evolvability (i.e., the potential for future evolution).

Multifractal Approach for Seafloor Characterization

Abstract: This letter involves multifractal characterization of pockmark seepage associated seafloor along the central part of the western continental margin of India. Six representative blocks of backscatter and bathymetry coregistered image data were used to characterize the seafloor. Two distinct multifractal formalisms are applied to determine the characteristics. The first formalism employs data analyses using generalized dimension D(q) and multifractal singularity spectrum f(α) linked shape parameters, based on the strange attractor that exhibits multifractal scaling. The second approach is designed as stochastic multifractal fields that connect the image block quantification to the three fundamental parameters, namely, degree of multifractality α, sparseness C1, and degree of smootheness H. The present investigation using the two multifractal formalisms to characterize the seafloor backscatter and bathymetry data provides comparative results that can be expounded upon.