Marion most bold : feminine transgression in the greenwood

In my project, I focus on the role and depiction of women found in the Robin Hood greenwood: specifically, those of Maid Marian. Maid Marian rarely appears in early Robin Hood texts, and especially not in a capacity in which she herself speaks, so it is striking that today she has become almost as synonymous with the greenwood in Robin Hood tales as the man himself. Indeed, one of the rare instances in which Marian plays a lead role occurs in the seventeenth-century ballad “Robin Hood and Maid Marian,” which appears in only one manuscript, after the original Robin Hood ballads of the Middle Ages, and does not seem to have been popular. This seventeenth-century ballad allots Maid Marian an agency typically reserved only for Robin’s merry men. Though I agree that Marian exhibits certain transgressive behaviors, especially in “Robin Hood and Maid Marian,” by the end of Robin Hood texts—medieval, early modern, or otherwise—though the space of the greenwood allows a certain level of freedom for the men in the texts, the “good” women in the Robin Hood texts remain noble ladies who still act as they ought to even though they live outside the confines of civilized society. The same social rules of urban society continue to apply to them, and even in the few cases where the women get to demonstrate more traditionally masculine qualities, they still must end up back in their proper role at the end of the Robin Hood ballad or play.Englis

Simple permutations poset

This article studies the poset of simple permutations with respect to the pattern involvement. We specify results on critically indecomposable posets obtained by Schmerl and Trotter to simple permutations and prove that if $\sigma, \pi$ are two simple permutations such that $\pi < \sigma$ then there exists a chain of simple permutations $\sigma^{(0)} = \sigma, \sigma^{(1)}, ..., \sigma^{(k)}=\pi$ such that $|\sigma^{(i)}| - |\sigma^{(i+1)}| = 1$ - or 2 when permutations are exceptional- and $\sigma^{(i+1)} < \sigma^{(i)}$. This characterization induces an algorithm polynomial in the size of the output to compute the simple permutations in a wreath-closed permutation class.Comment: 15 page

Noise in superconductor-quantum dot-normal metal structures in the Kondo regime

We consider a N-dot-S junction in the Kondo regime in the limit where the superconducting gap is much smaller than the Kondo temperature. A generalization of the floating of the Kondo resonance is proposed and many body corrections to the average subgap current are calculated. The zero frequency noise is computed and the Fano factor sticks to the value 10/3 for all voltages below the gap. Implications for finite frequency noise are briefly discussed

Exact calculation of current correlations and admittance in the fractional quantum Hall regime

In this work, we focus on the finite frequency current-current correlations between edge states in a fractional quantum Hall two dimensional gas and on their relations to the quantum admittance. Using a refermionization method, we calculate these quantities within the same framework. Our results apply whatever the values of backscattering amplitude, frequency, voltage and temperature, allowing us to reach different regimes. Auto-correlations and cross-correlations exhibit distinct frequency dependencies that we discuss in detail.Comment: 4 pages, 7 figure

Extension of the SAEM algorithm for nonlinear mixed models with two levels of random effects

This article focuses on parameter estimation of multi-levels nonlinear mixed effects models (MNLMEMs). These models are used to analyze data presenting multiple hierarchical levels of grouping (cluster data, clinical trials with several observation periods,...). The variability of the individual parameters of the regression function is thus decomposed as a between-sub ject variability and higher levels of variability (for example within-sub ject variability). We propose maximum likelihood estimates of parameters of those MNLMEMs with two levels of random effects, using an extension of the SAEM-MCMC algorithm. The extended SAEM algorithm is split into an explicit direct EM algorithm and a stochastic EM part. Compared to the original algorithm, additional sufficient statistics have to be approximated by relying on the conditional distribution of the second level of random effects. This estimation method is evaluated on pharmacokinetic cross-over simulated trials, mimicking theophyllin concentration data. Results obtained on those datasets with either the SAEM algorithm or the FOCE algorithm (implemented in the nlme function of R software) are compared: biases and RMSEs of almost all the SAEM estimates are smaller than the FOCE ones. Finally, we apply the extended SAEM algorithm to analyze the pharmacokinetic interaction of tenofovir on atazanavir, a novel protease inhibitor, from the ANRS 107-Puzzle 2 study. A significant decrease of the area under the curve of atazanavir is found in patients receiving both treatments

Estimation in the partially observed stochastic Morris-Lecar neuronal model with particle filter and stochastic approximation methods

Parameter estimation in multidimensional diffusion models with only one coordinate observed is highly relevant in many biological applications, but a statistically difficult problem. In neuroscience, the membrane potential evolution in single neurons can be measured at high frequency, but biophysical realistic models have to include the unobserved dynamics of ion channels. One such model is the stochastic Morris-Lecar model, defined by a nonlinear two-dimensional stochastic differential equation. The coordinates are coupled, that is, the unobserved coordinate is nonautonomous, the model exhibits oscillations to mimic the spiking behavior, which means it is not of gradient-type, and the measurement noise from intracellular recordings is typically negligible. Therefore, the hidden Markov model framework is degenerate, and available methods break down. The main contributions of this paper are an approach to estimate in this ill-posed situation and nonasymptotic convergence results for the method. Specifically, we propose a sequential Monte Carlo particle filter algorithm to impute the unobserved coordinate, and then estimate parameters maximizing a pseudo-likelihood through a stochastic version of the Expectation-Maximization algorithm. It turns out that even the rate scaling parameter governing the opening and closing of ion channels of the unobserved coordinate can be reasonably estimated. An experimental data set of intracellular recordings of the membrane potential of a spinal motoneuron of a red-eared turtle is analyzed, and the performance is further evaluated in a simulation study.Comment: Published in at http://dx.doi.org/10.1214/14-AOAS729 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

The Rise of Asian American Cinema

This project won second place in the 2017 Signature Course Information Literacy Award. The award recognizes exemplary student work that achieves the learning outcomes of the Signature Course information literacy requirement, that students will be able to create and execute a research strategy, critically evaluate information, and use citations. This paper was self-nominated for the award by Stephanie Adeline, with support from Dr. Charlotte Canning and Dr. Paul Bonin-Rodriguez. It was submitted in their Spring 2016 Signature Course, “Arts, Your Money, and the Nation.” This project was chosen because Stephanie made smart use of sources, and evolved her search technique as she worked on this paper and better understood the information she needed. Her way of connecting art and money necessitated a wide variety of sources. As her professors said “…[Stephanie’s] paper draws on comparative methodologies and makes use of media studies, cultural studies, Asian studies, international relations and history…[drawing on] an expansive body of work from scholarly books and journals in communications, anthropology, and media studies, as well as extensive newspaper articles and the primary readings of the films themselves.”Canning, CharlotteBonin-Rodriguez, PaulUT Librarie

Out-of-equilibrium Kondo Effect in a Quantum Dot: Interplay of Magnetic Field and Spin Accumulation

We present a theoretical study of low temperature nonequilibrium transport through an interacting quantum dot in the presence of Zeeman magnetic field and current injection into one of its leads. By using a self-consistent renormalized equation of motion approach, we show that the injection of a spin-polarized current leads to a modulation of the Zeeman splitting of the Kondo peak in the differential conductance. We find that an appropriate amount of spin accumulation in the lead can restore the Kondo peak by compensating the splitting due to magnetic field. By contrast when the injected current is spin-unpolarized, we establish that both Zeeman-split Kondo peaks are equally shifted and the splitting remains unchanged. Our results quantitatively explain the experimental findings reported in KOBAYASHI T. et al., Phys. Rev. Lett. 104, 036804 (2010). These features could be nicely exploited for the control and manipulation of spin in nanoelectronic and spintronic devices.Comment: 6+ pages; 3 figures; final versio

Using NLP to build the hypertextuel network of a back-of-the-book index

Relying on the idea that back-of-the-book indexes are traditional devices for navigation through large documents, we have developed a method to build a hypertextual network that helps the navigation in a document. Building such an hypertextual network requires selecting a list of descriptors, identifying the relevant text segments to associate with each descriptor and finally ranking the descriptors and reference segments by relevance order. We propose a specific document segmentation method and a relevance measure for information ranking. The algorithms are tested on 4 corpora (of different types and domains) without human intervention or any semantic knowledge

Adapting a general parser to a sublanguage

In this paper, we propose a method to adapt a general parser (Link Parser) to sublanguages, focusing on the parsing of texts in biology. Our main proposal is the use of terminology (identication and analysis of terms) in order to reduce the complexity of the text to be parsed. Several other strategies are explored and finally combined among which text normalization, lexicon and morpho-guessing module extensions and grammar rules adaptation. We compare the parsing results before and after these adaptations