Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Counterfactual Simulations to Assess the Danger of Contagion in Interbank Markets

Researchers at central banks increasingly turn to counterfactual simulations to estimate the danger of contagion owing to exposures in the interbank loan market. The present paper summarises the findings of such simulations, provides a critical assessment of the modelling assumptions on which they are based, and discusses their use in financial stability analysis. On the whole, such simulations suggest that contagious defaults are unlikely, but cannot be fully ruled out, at least in some countries. If contagion does take place, then it could lead to the breakdown of a substantial fraction of the banking system, thus imposing high costs to society. However, when interpreting these results, one has to bear in mind the potential bias caused by the very strong assumptions underlying the simulations. While robustness tests indicate that the models might be able to correctly predict whether or not contagion could be an issue and, possibly, also identify critical institutions, they are less suited for stress testing or for the analysis of policy options in crises, primarily due to their lack of behavioural foundations. Going forward, more work is needed on how to attach probabilities to the individual scenarios and on the microfoundations of the models.
Blacklisting and the ban: contesting targeted sanctions in Europe

This article examines the practice of targeted sanctions as they are deployed against individuals and groups suspected of financing and facilitating terrorism in Europe. Substantial academic attention and critique has surrounded targeted sanctions and blacklists, as these practices challenge existing logics of evidence, criminal culpability and proportionality. This article seeks to move the analysis of blacklisting beyond the breach of individual rights and toward an understanding of the wider political implications. It draws upon the work of Giorgio Agamben to offer a reading of blacklisting in terms of its symbolic function of banishment and exclusion, which simultaneously redraws the boundaries around normal, valued, ways of life. The article teases out the exceptional and pre-emptive nature of blacklisting as a security measure. It analyses in some detail the Kadi case before the European Court of Justice, and argues that blacklisting and its current contestations work to inscribe the principles of p.
Worsening of Wilson Disease following Penicillamine Therapy

Background: Penicillamine is a standard therapy for Wilson disease (WD) but some patients have paradoxical worsening. Predictors of such deterioration have not been evaluated. This study documents frequency and predictors of deterioration following treatment in WD. Methods: 59 consecutive patients with neurologic WD and 4 asymptomatic siblings were prospectively evaluated. Their clinical, laboratory, ultrasound abdomen and cranial MRI findings with and without worsening were compared. Patients were treated with oral penicillamine and/or zinc and followed up at 1, 3 and 6 months or earlier if needed. Deterioration was defined by >10% worsening in baseline Burke-Fahn-Marsden score or appearance of new neurological sign. Results: Patients' median age was 13 years and 13 were females. 19 patients (30.2%) worsened following treatment; 10 within 1 month, 7 in 1-3 months, and 2 after 3 months of treatment. Deterioration was associated with drooling, leukopenia, thrombocytopenia, splenomegaly and evidence of chronic liver disease. None of the asymptomatic patients following zinc therapy deteriorated. Conclusions: In the deteriorating group, withdrawal of penicillamine resulted in improvement/stabilization in 11 patients, 2 improved by trientine therapy and 4 continued to deteriorate till 3 months. 30.2% patients with WD deteriorated following penicillamine, especially those with chronic liver disease, leukopenia and thrombocytopenia.
Using Participatory Methods to Examine Policy and Women Prisoners’ Health

This article describes how community-based participatory research (CBPR) led to the discovery of the unintended consequences of jail and prison copayment policy on women prisoners’ health. The article addresses (a) a working definition of participatory research; (b) the importance of research with women prisoners; (c) the origins and development of our work and its grounding in CBPR; (d) issues related to research with prisoners; and (e) recommendations for using participatory methods to bring women prisoners into the discourse about the practices and policies that impact their lives. These methods have the potential to minimize the invisibility of prisoners and their health disparities.
Antidepressant treatment of bulimia: the relationship between bingeing and depressive symptomatology

In a retrospective study, 22 patients with bulimia were treated with at least one therapeutic trial of antidepressants. Most patients (77%) were clinically depressed before the drug trial. Bingeing frequency decreased in 59% of all cases, and depression improved in 58% of depressed subjects after a 4-week trial of antidepressants, although only 27% of all patients showed both an antibinge and an antidepressant response. Furthermore, during a 3-month follow-up period, several patients relapsed despite continuing medication. At the end of the follow-up period, 23% of subjects continued to show at least a 50% decrease in their bingeing. These data indicate that medication may have separate and possibly unrelated antibinge and antidepressant effects in this patient population.
Dynamic recrystallization during deformation of polycrystalline ice: insights from numerical simulations

The flow of glaciers and polar ice sheets is controlled by the highly anisotropic rheology of ice crystals that have hexagonal symmetry (ice lh). To improve our knowledge of ice sheet dynamics, it is necessary to understand how dynamic recrystallization (DRX) controls ice microstructures and rheology at different boundary conditions that range from pure shear flattening at the top to simple shear near the base of the sheets. We present a series of two-dimensional numerical simulations that couple ice deformation with DRX of various intensities, paying special attention to the effect of boundary conditions. The simulations show how similar orientations of c-axis maxima with respect to the finite deformation direction develop regardless of the amount of DRX and applied boundary conditions. In pure shear this direction is parallel to the maximum compressional stress, while it rotates towards the shear direction in simple shear. This leads to strain hardening and increased activity of non-basal slip systems in pure shear and to strain softening in simple shear. Therefore, it is expected that ice is effectively weaker in the lower parts of the ice sheets than in the upper parts. Strain-rate localization occurs in all simulations, especially in simple shear cases. Recrystallization suppresses localization, which necessitates the activation of hard, non-basal slip systems. This article is part of the themed issue ‘Microdynamics of ice’.
Percentages of CD4+CD161+ and CD4−CD8−CD161+ T Cells in the Synovial Fluid Are Correlated with Disease Activity in Rheumatoid Arthritis

Objective. CD161 has been identified as a marker of human IL-17-producing T cells that are implicated in the pathogenesis of rheumatoid arthritis (RA). This study aimed to investigate the potential link between the percentage of CD161+ T cells and disease activity in RA patients. Methods. Peripheral blood (PB) from 54 RA patients and 21 healthy controls was evaluated. Paired synovial fluid (SF) (n = 17) was analyzed. CD161 expression levels on CD4+, CD8+, and CD4−CD8− T cells were assessed by flow cytometry. Results. The percentage of CD4+CD161+ T cells in RA SF was higher than RA PB, and it was positively correlated with DAS28, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP). CD4−CD8−CD161+ T cell percentage was decreased in RA PB and was further reduced in RA SF, and its level in SF was inversely correlated with DAS28, ESR, and CRP. However, CD8+CD161+ T cell percentage was neither changed in RA PB and SF nor correlated with disease activity indices. Conclusion. An increased CD4+CD161+ T cell percentage and a decreased CD4−CD8−CD161+ T cell percentage are present in RA SF and are associated with disease activity, and the accumulation of CD4+CD161+ T cells in SF may contribute to the local inflammation of RA.
Strong order of convergence of a fully discrete approximation of a linear stochastic Volterra type evolution equation

In this paper we investigate a discrete approximation in time and in space of a Hilbert space valued stochastic process {u(t)}t∈[0,T ] satisfying a stochastic linear evolution equation with a positive-type memory term driven by an additive Gaussian noise. The equation can be written in an abstract form as du+ (∫ t 0 b(t− s)Au(s) ds ) dt = dW , t ∈ (0, T ]; u(0) = u0 ∈ H, where W is a Q-Wiener process on H = L(D) and where the main example of b we consider is given by b(t) = tβ−1/Γ (β), 0 0 such that A−α has finite trace and that Q is bounded from H into D(A) for some real κ with α− 1 β+1 < κ ≤ α. The discretization is achieved via an implicit Euler scheme and a Laplace transform convolution quadrature in time (parameter ∆t = T/n), and a standard continuous finite element method in space (parameter h). Let un,h be the discrete solution at T = n∆t. We show that ( E‖un,h − u(T )‖ )1/2 = O(h +∆t), for any γ < (1− (β + 1)(α− κ))/2 and ν ≤ 1 β+1 − α+ κ. M. Kovacs Department of Mathematics and Statistics, University of Otago, PO Box 56, Dunedin, 9054, New Zealand. E-mail: mkovacs@maths.otago. ac.nz J. Printems Laboratoire d’Analyse et de Mathematiques Appliquees CNRS UMR 8050, 61, avenue du General de Gaulle, Universite Paris–Est, 94010 Creteil, France. E-mail: printems@u-pec.fr 2 Mihaly Kovacs, Jacques Printems
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits

Performance of machine learning algorithms depends critically on identifying a good set of hyperparameters. While current methods offer efficiencies by adaptively choosing new configurations to train, an alternative strategy is to adaptively allocate resources across the selected configurations. We formulate hyperparameter optimization as a pure-exploration non-stochastic infinitely many armed bandit problem where allocation of additional resources to an arm corresponds to training a configuration on larger subsets of the data. We introduce Hyperband for this framework and analyze its theoretical properties, providing several desirable guarantees. We compare Hyperband with state-of-the-art Bayesian optimization methods and a random search baseline on a comprehensive benchmark including 117 datasets. Our results on this benchmark demonstrate that while Bayesian optimization methods do not outperform random search trained for twice as long, Hyperband in favorable settings offers valuable speedups.
Spongian Diterpenoids Inhibit Androgen Receptor Activity

Androgen receptor is a ligand-activated transcription factor and a validated drug target for all stages of prostate cancer. Antiandrogens compete with physiologic ligands for androgen receptor ligand-binding domain (LBD). High-throughput screening of a marine natural product library for small molecules that inhibit androgen receptor transcriptional activity yielded the furanoditerpenoid spongia-13(16),-14-dien-19-oic acid, designated terpene 1 (T1). Characterization of T1 and the structurally related semisynthetic analogues (T2 and T3) revealed that these diterpenoids have antiandrogen properties that include inhibition of both androgen-dependent proliferation and androgen receptor transcriptional activity by a mechanism that involved competing with androgen for androgen receptor LBD and blocking essential N/C interactions required for androgen-induced androgen receptor transcriptional activity. Structure–activity relationship analyses revealed some chemical features of T1 that are associated with activity and yielded T3 as the most potent analogue. In vivo, T3 significantly reduced the weight of seminal vesicles, which are an androgen-dependent tissue, thereby confirming the on-target activity of T3. The ability to create analogues of diterpenoids that have varying antiandrogen activity represents a novel class of chemical compounds for the analysis of androgen receptor ligand-binding properties and therapeutic development. Mol Cancer Ther; 12(5); 621–31. ©2013 AACR.
Fluorescence correlation spectroscopy shows that monomeric polyglutamine molecules form collapsed structures in aqueous solutions

We have used fluorescence correlation spectroscopy measurements to quantify the hydrodynamic sizes of monomeric polyglutamine as a function of chain length (N) by measuring the scaling of translational diffusion times (τD) for the peptide series (Gly)-(Gln)N-Cys-Lys2 in aqueous solution. We find that τD scales with N as τoNν and therefore ln(τD) = ln(τo) + νln(N). The values for ν and ln(τo) are 0.32 ± 0.02 and 3.04 ± 0.08, respectively. Based on these observations, we conclude that water is a polymeric poor solvent for polyglutamine. Previous studies have shown that monomeric polyglutamine is intrinsically disordered. These observations combined with our fluorescence correlation spectroscopy data suggest that the ensemble for monomeric polyglutamine is made up of a heterogeneous collection of collapsed structures. This result is striking because the preference for collapsed structures arises despite the absence of residues deemed to be hydrophobic in the sequence constructs studied. Working under the assumption that the driving forces for collapse are similar to those for aggregation, we discuss the implications of our results for the thermodynamics and kinetics of polyglutamine aggregation, a process that has been implicated in the molecular mechanism of Huntington's disease.
Adaptive Personality Recognition from Text

We address the issue of domain adaptation for automatic Personality Recognition from Text (PRT). The PRT task consists in the classification of the personality traits of some authors, given some pieces of text they wrote. The purpose of our work is to improve current approaches to PRT in order to extract personality information from social network sites, which is a really challenging task. We argue that current approaches, based on supervised learning, have several limitations for the adaptation to social network domain, mainly due to 1) difficulties in data annotation, 2) overfitting, 3) lack of domain adaptability and 4) multilinguality issues. We propose and test a new approach to PRT, that we will call Adaptive Personality Recognition (APR). We argue that this new approach solves domain adaptability problems and it is suitable for the application in Social Network Sites. We start from an introduction that covers all the background knowledge required for understanding PRT. It includes arguments like personality, the the Big5 factor model, the sets of correlations between language features and personality traits and a brief survey on learning approaches, that includes also feature selection and domain adaptation. We also provide an overview of the state-of-theart in PRT and we outline the problems we see in the application of PRT to social network domain. Basically, our APR approach is based on 1) an external model: a set of features/correlations between language and Big5 personality traits (taken from literature); 2) an adaptive strategy, that makes the model fit the distribution of the features in the dataset at hand, before generating personality hypotheses; 3) an evaluation strategy, that compares all the hypotheses generated for each single text of each author, computing confidence scores. This allows domain adaptation, semi-supervised learning and the automatic extraction of patterns associated to personality traits, that can be added to the initial correlation set, thus combining top-down and bottom-up approaches. The main contributions of our approach to the research in the field of PRT are: 1) the possibility to run top-down PRT from models taken from literature, adapting them to new datasets; 2) the definition of a small, language-independent and resource-free feature/ correlation set, tested on Italian and English; 3) the possibility to integrate top-down and bottom-up PRT strategies, allowing the enrichment of the initial feature/correlation from the dataset at hand; 4) the development of a system for APR, that does not require large labeled datasets for training, but just a small one for testing, minimizing the data annotation problem. Finally, we describe some applications of APR to the analysis of personality in online social network sites, reporting results and findings. We argue that the APR approach is very useful for Social Network Analysis, social marketing, opinion mining, sentiment analysis, mood detection and related fields.
Variants in the estrogen receptor alpha gene and its mRNA contribute to risk for schizophrenia

Estrogen modifies human emotion and cognition and impacts symptoms of schizophrenia. We hypothesized that the variation in the estrogen receptor alpha (ESR1) gene and cortical ESR1 mRNA is associated with schizophrenia. In a small case–control genetic association analysis of postmortem brain tissue, genotype CC (rs2234693) and haplotypes containing the C allele of a single-nucleotide polymorphism (SNP) in intron1 (PvuII) were more frequent in African American schizophrenics (P = 0.01–0.001). In a follow-up family-based association analysis, we found overtransmission of PvuII allele C and a PvuII C-containing haplotype (P = 0.01–0.03) to African American and Caucasian patients with schizophrenia. Schizophrenics with the ‘at risk’ PvuII genotype had lower ESR1 mRNA levels in the frontal cortex. Eighteen ESR1 splice variants and decreased frequencies of the wild-type ESR1 mRNA were detected in schizophrenia. In one patient, a unique ESR1 transcript with a genomic insert encoding a premature stop codon and a truncated ESR1 protein lacking most of the estrogen binding domain was the only transcript detected. Using a luciferase assay, we found that mRNA encoding a truncated ESR1 significantly attenuates gene expression at estrogen-response elements demonstrating a dominant negative function. An intron 6 SNP [rs2273207(G)] was associated with an ESR1 splice variant missing exon seven. The T allele of another intron 6 SNP was part of a 3′ haplotype less common in schizophrenia [rs2273206(T), rs2273207(G), rs2228480(G)]. Thus, the variation in the ESR1 gene is associated with schizophrenia and the mechanism of this association may involve alternative gene regulation and transcript processing.
Connections of the auditory brainstem in a songbird, Taeniopygia guttata. II. Projections of nucleus angularis and nucleus laminaris to the superior olive and lateral lemniscal nuclei

Three nuclei of the lateral lemniscus are present in the zebra finch, ventral (LLV), intermediate (LLI), and dorsal (LLD). LLV is separate from the superior olive (OS): it lies closer to the spinal lemniscus and extends much further rostrally around the pontine periphery. LLI extends from a caudal position ventrolateral to the principal sensory trigeminal nucleus (LLIc) to a rostral position medial to the ventrolateral parabrachial nucleus (LLIr). LLD consists of posterior (LLDp) and anterior (LLDa) parts, which are largely coextensive rostrocaudally, although LLDa lies medial to LLDp. All nuclei are identifiable on the basis of cytochrome oxidase activity. The cochlear nucleus angularis (NA) and the third‐order nucleus laminaris (NL) project on OS predominantly ipsilaterally, on LLV and LLI predominantly contralaterally, and on LLD contralaterally only. The NA projections are heavier than those of NL and differ from them primarily in their terminations within LLD: NA projects to LLDp, whereas NL projects to LLDa. In this the projections are similar to those in the barn owl (Takahashi and Konishi [1988] J Comp Neurol 274:212–238), in which time and intensity pathways remain separate as far as the central nucleus of the inferior colliculus (MLd). In contrast, in the zebra finch, although NA and NL projections remain separate within LLD, the projections of LLDa and LLDp become intermixed within MLd (Wild et al., J Comp Neurol, this issue), consistent with the intermixing of the direct NA and NL projections to MLd (Krützfeldt et al., J Comp Neurol, this issue). J. Comp. Neurol. 518:2135–2148, 2010. © 2010 Wiley‐Liss, Inc.
Ceramide Induces Bcl2 Dephosphorylation via a Mechanism Involving Mitochondrial PP2A*

Phosphorylation of Bcl2 at serine 70 is required for its potent anti-apoptotic function. We have recently shown that Bcl2 phosphorylation is a dynamic process that involves the protein kinase C α and protein phosphatase 2A (PP2A) (Ruvolo, P. P., Deng, X., Carr, B. K., and May, W. S. (1998) J. Biol. Chem. 273, 25436–25442; and Deng, X. , Ito, T. , Carr, B. K. , Mumby, M. C. , and May, W. S. (1998) J. Biol. Chem. 273, 34157–34163). The potent apoptotic agent ceramide can activate a PP2A, suggesting that one potential component of the ceramide-induced death signal may involve the inactivation of Bcl2. Results indicate that C2-ceramide but not inactive C2-dihydroceramide, was found to specifically activate a mitochondrial PP2A, which rapidly and completely induced Bcl2 dephosphorylation and correlated closely with ceramide-induced cell death. Using a genetic approach, the gain-of-function S70E Bcl2 mutation, which mimics phosphorylation, fails to undergo apoptosis even with the addition of high doses of ceramide (IC50 > 50 μm). In contrast, cells overexpressing exogenous wild-type Bcl2 were sensitive to ceramide at dosages where PP2A is fully active and Bcl2 would be expected to be dephosphorylated (IC50 = 14 μm). These findings indicate that in cells expressing functional Bcl2, the mechanism of death action for ceramide may involve, at least in part, a mitochondrial PP2A that dephosphorylates and inactivates Bcl2.
Nanostructure predicts intraspecific variation in ultraviolet–blue plumage colour†

Evidence suggests that structural plumage colour can be an honest signal of individual quality, but the mechanisms responsible for the variation in expression of structural coloration within a species have not been identified. We used full–spectrum spectrometry and transmission electron microscopy to investigate the effect of variation in the nanostructure of the spongy layer on expression of structural ultraviolet (UV)–blue coloration in eastern bluebird (Sialia sialis) feathers. Fourier analysis revealed that feather nanostructure was highly organized but did not accurately predict variation in hue. Within the spongy layer of feather barbs, the number of circular keratin rods significantly predicted UV–violet chroma, whereas the standard error of the diameter of these rods significantly predicted spectral saturation. These observations show that the precision of nanostructural arrangement determines some colour variation in feathers.