Syria and the Responsibility to Protect

The civilian protection agenda has tried to fill critical gaps in the existing normative architecture through the Responsibility to Protect (R2P) and protection of civilians (POC) as sibling norms.1 Despite these two valuable additions to the repertoire of the international community in dealing with civilian victims of armed conflicts, many gaps remain in the protection agenda, as shown in several cases—from Cyclone Nargis in Myanmar to Darfur and, most prominently this year, Syria

Deterministic Bayesian Information Fusion and the Analysis of its Performance

This paper develops a mathematical and computational framework for analyzing the expected performance of Bayesian data fusion, or joint statistical inference, within a sensor network. We use variational techniques to obtain the posterior expectation as the optimal fusion rule under a deterministic constraint and a quadratic cost, and study the smoothness and other properties of its classification performance. For a certain class of fusion problems, we prove that this fusion rule is also optimal in a much wider sense and satisfies strong asymptotic convergence results. We show how these results apply to a variety of examples with Gaussian, exponential and other statistics, and discuss computational methods for determining the fusion system's performance in more general, large-scale problems. These results are motivated by studying the performance of fusing multi-modal radar and acoustic sensors for detecting explosive substances, but have broad applicability to other Bayesian decision problems

The Synchrosqueezing transform for instantaneous spectral analysis

The Synchrosqueezing transform is a time-frequency analysis method that can decompose complex signals into time-varying oscillatory components. It is a form of time-frequency reassignment that is both sparse and invertible, allowing for the recovery of the signal. This article presents an overview of the theory and stability properties of Synchrosqueezing, as well as applications of the technique to topics in cardiology, climate science and economics

Quarkonium production as a function of charged-particle multiplicity in pp and p--Pb collisions measured by ALICE at the LHC

Quarkonium production as a function of the charged-particle multiplicity could provide an insight into particle production processes at the partonic level in hadronic collisions. It is believed that multiple partonic interactions play an important role in particle production and affect both soft and hard processes. The study of correlations between quarkonia and charged-particle multiplicity may provide information about this. In this contribution, ALICE measurements of J$/\psi$ and $\Upsilon$ production as a function of charged-particle multiplicity are presented for pp collisions at center-of-mass energies $\sqrt{s}$ = 5.02 and 13 TeV. A similar measurement performed in p\textendash Pb collisions at $\sqrt{s_{\rm{NN}}}$ = 8.16 TeV at both forward and backward rapidity is also discussed.Comment: 5pages, 6 figure

J/ψJ/\psi production as a function of charged-particle multiplicity with ALICE at the LHC

At LHC energies, the charged-particle multiplicity dependence of particle production is a topic of considerable interest in $pp$ collisions. It has been argued that multiple partonic interactions play an important role in particle production mechanisms, not only affecting the soft processes but also the hard processes. Recently, ALICE has measured $J/\psi$ production as a function of charged-particle multiplicity to study the correlation between soft and hard processes. In this contribution, we present the $J/\psi$ production versus multiplicity for $pp$ and $p-Pb$ collisions measured by ALICE. We compare the results with different theoretical models.Comment: Presented at FPCP 2018,Hyderabad,INDI