A Prudent Central Banker

This paper studies monetary policy in an economy where the central banker's preferences are asymmetric around optimal inflation. In particular, positive deviations from the optimum can be weighted more, or less, severely than negative deviations in the policy maker's loss function. It is shown that under asymmetric preferences, uncertainty can induce a prudent behavior on the part of the central banker. Since the prudence motive can be large enough to override the inflation bias, optimal monetary policy could be implemented even in the absence of rules, reputation, or contractual mechanisms. For certain parameter values, a deflationary bias can arise in equilibrium.

Uncovering Financial Markets Beliefs About Inflation Targets

This paper exploits the term structure of interest rates to develop testable economic restrictions on the joint process of long-term interest rates and inflation when the latter is subject to a targeting policy by the Central Bank. Two competing models that econometrically describe agents’ inferences about inflation targets are developed and shown to generate distinct predictions on the behavior of interest rates. In an empirical application to the Canadian inflation target zone, results indicate that agents perceive the band to be substantially narrower than officially announced and asymmetric around the stated mid-point. The latter result (i) suggests that the monetary authority attaches different weights to positive and negative deviations from the central target, and (ii) challenges on empirical grounds the assumption, frequently made in the literature, that the policy maker’s loss function is symmetric (usually a quadratic function) around a desired inflation value.

The Inflation Bias When the Central Bank Targets, the Natural Rate of Unemployment

This paper studies the proposition that an inflation bias can arise in a setup where a central banker with asymmetric preferences targets the natural unemployment rate. Preferences are asymmetric in the sense that positive unemployment deviations from the natural rate are weighted more (or less) severely than negative deviations in the central banker's loss function. The bias is proportional to the conditional variance of unemployment. The time-series predictions of the model are evaluated using data from G7 countries. Econometric estimates support the prediction that the conditional variance of unemployment and the rate of inflation are positively related.

Dynamic epigenetic changes in immune responses to infection in human dendritic cells

La méthylation de l'ADN est une marque épigénétique importante chez les mammifères. Malgré le fait que la méthylation de la cytosine en 5' (5mC) soit reconnue comme une modification épigénétique stable, il devient de plus en plus reconnu qu'elle soit un processus plus dynamique impliquant des voies de méthylation et de déméthylation actives. La dynamique de la méthylation de l'ADN est désormais bien caractérisée dans le développement et dans le fonctionnement cellulaire des mammifères. Très peu est cependant connu concernant les implications régulatrices dans les réponses immunitaires. Pour se faire, nous avons effectué des analyses du niveau de transcription des gènes ainsi que du profilage épigénétique de cellules dendritiques (DCs) humaines. Ceux-ci ont été faits avant et après infection par le pathogène Mycobacterium tuberculosis (MTB). Nos résultats fournissent le premier portrait génomique du remodelage épigénétique survenant dans les DCs en réponse à une infection bactérienne. Nous avons constaté que les changements dans la méthylation de l'ADN sont omniprésents, identifiant 3,926 régions différentiellement méthylées lors des infections par MTB (MTB-RDMs). Les MTB-RDMs montrent un chevauchement frappant avec les régions génomiques marquées par les histones associées avec des régions amplificatrices. De plus, nos analyses ont révélées que les MTB-RDMs sont activement liées par des facteurs de transcription associés à l'immunité avant même d'être infecté par MTB, suggérant ces domaines comme étant des éléments d'activation dans un état de dormance. Nos données suggèrent que les changements actifs dans la méthylation jouent un rôle essentiel pour contrôler la réponse cellulaire des DCs à l'infection bactérienne.

Le système endocannabinoïde dans la rétine du singe : expression, localisation et fonctions

Le cannabis produit de nombreux effets psychologiques et physiologiques sur le corps humain. Les molécules contenues dans cette plante, désignées comme « phytocannabinoïdes », activent un système endogène qu’on appelle le système endocannabinoïde (eCB). Les effets de la consommation de cannabis sur la vision ont déjà été décrits sans cependant de formulation sur les mécanismes sous-jacents. Ces résultats comportementaux suggèrent, malgré tout, la présence de ce système eCB dans le système visuel, et particulièrement dans la rétine. Cette thèse vise donc à caractériser l’expression, la localisation et le rôle du système eCB dans la rétine du singe vervet, une espèce animale ayant un système visuel semblable à celui de l’humain. Nous avons mis au point un protocole expérimental d’immunohistochimie décrit dans l’article apparaissant dans l’Annexe I que nous avons utilisé pour répondre à notre objectif principal. Dans une première série de quatre articles, nous avons ainsi caractérisé l’expression et la localisation de deux récepteurs eCBs reconnus, les récepteurs cannabinoïdes de type 1 (CB1R) et de type 2 (CB2R), et d’un 3e présumé récepteur aux cannabinoïdes, le récepteur GPR55. Dans l’article 1, nous avons démontré que CB1R et une enzyme clé de ce système, la fatty acid amide hydrolase (FAAH), sont exprimés dans les parties centrale et périphérique de la rétine, et abondamment présents dans la fovéa, une région où l’acuité visuelle est maximale. Dans l’article 2, nous avons localisé le CB2R dans des cellules gliales de la rétine : les cellules de Müller et nous avons proposé un modèle sur l’action de cette protéine dans la fonction rétinienne faisant appel à une cascade chimique impliquant les canaux potassiques. Dans l’article 3, nous avons observé le GPR55 exclusivement dans les bâtonnets qui sont responsables de la vision scotopique et nous avons soumis un deuxième modèle de fonctionnement de ce récepteur par le biais d'une modulation des canaux calciques et sodiques des bâtonnets. Vu que ces 3 récepteurs se retrouvent dans des cellules distinctes, nous avons suggéré leur rôle primordial dans l’analyse de l’information visuelle au niveau rétinien. Dans l’article 4, nous avons effectué une analyse comparative de l’expression du système eCB dans la rétine de souris, de toupayes (petits mammifères insectivores qui sont sont considérés comme l’étape intermédiaire entre les rongeurs et les primates) et de deux espèces de singe (le vervet et le rhésus). Ces résultats nous ont menés à présenter une hypothèse évolutionniste quant à l’apparition et à la fonction précise de ces récepteurs. Dans les articles subséquents, nous avons confirmé notre hypothèse sur le rôle spécifique de ces trois récepteurs par l’utilisation de l’électrorétinographie (ERG) après injection intravitréenne d’agonistes et d’antagonistes de ces récepteurs. Nous avons conclu sur leur influence indéniable dans le processus visuel rétinien chez le primate. Dans l’article 5, nous avons établi le protocole d’enregistrement ERG normalisé sur le singe vervet, et nous avons produit un atlas d’ondes ERG spécifique à cette espèce, selon les règles de l’International Society for Clinical Electrophysiology of Vision (ISCEV). Les patrons électrorétinographiques se sont avérés semblables à ceux de l’humain et ont confirmé la similarité entre ces deux espèces. Dans l’article 6, nous avons démontré que le blocage de CB1R ou CB2R entraine une modification de l’électrorétinogramme, tant au niveau photopique que scotopique, ce qui supporte l’implication de ces récepteurs dans la modulation des ondes de l’ERG. Finalement, dans l’article 7, nous avons confirmé le modèle neurochimique proposé dans l’article 3 pour expliquer le rôle fonctionnel de GPR55, en montrant que l’activation ou le blocage de ce récepteur, respectivement par un agoniste (lysophosphatidylglucoside, LPG) ou un antagoniste (CID16020046), entraine soit une augmentation ou une baisse significative de l’ERG scotopique seulement. Ces données, prises ensemble, démontrent que les récepteurs CB1R, CB2R et GPR55 sont exprimés dans des types cellulaires bien distincts de la rétine du singe et ont chacun un rôle spécifique. L’importance de notre travail se manifeste aussi par des applications cliniques en permettant le développement de cibles pharmacologiques potentielles dans le traitement des maladies de la rétine.

On the Noise Model of Support Vector Machine Regression

Support Vector Machines Regression (SVMR) is a regression technique which has been recently introduced by V. Vapnik and his collaborators (Vapnik, 1995; Vapnik, Golowich and Smola, 1996). In SVMR the goodness of fit is measured not by the usual quadratic loss function (the mean square error), but by a different loss function called Vapnik"s $epsilon$- insensitive loss function, which is similar to the "robust" loss functions introduced by Huber (Huber, 1981). The quadratic loss function is well justified under the assumption of Gaussian additive noise. However, the noise model underlying the choice of Vapnik's loss function is less clear. In this paper the use of Vapnik's loss function is shown to be equivalent to a model of additive and Gaussian noise, where the variance and mean of the Gaussian are random variables. The probability distributions for the variance and mean will be stated explicitly. While this work is presented in the framework of SVMR, it can be extended to justify non-quadratic loss functions in any Maximum Likelihood or Maximum A Posteriori approach. It applies not only to Vapnik's loss function, but to a much broader class of loss functions.

On the V(subscript gamma) Dimension for Regression in Reproducing Kernel Hilbert Spaces

This paper presents a computation of the $V_gamma$ dimension for regression in bounded subspaces of Reproducing Kernel Hilbert Spaces (RKHS) for the Support Vector Machine (SVM) regression $epsilon$-insensitive loss function, and general $L_p$ loss functions. Finiteness of the RV_gamma$ dimension is shown, which also proves uniform convergence in probability for regression machines in RKHS subspaces that use the $L_epsilon$ or general $L_p$ loss functions. This paper presenta a novel proof of this result also for the case that a bias is added to the functions in the RKHS.

A Note on Support Vector Machines Degeneracy

When training Support Vector Machines (SVMs) over non-separable data sets, one sets the threshold $b$ using any dual cost coefficient that is strictly between the bounds of $0$ and $C$. We show that there exist SVM training problems with dual optimal solutions with all coefficients at bounds, but that all such problems are degenerate in the sense that the "optimal separating hyperplane" is given by ${f w} = {f 0}$, and the resulting (degenerate) SVM will classify all future points identically (to the class that supplies more training data). We also derive necessary and sufficient conditions on the input data for this to occur. Finally, we show that an SVM training problem can always be made degenerate by the addition of a single data point belonging to a certain unboundedspolyhedron, which we characterize in terms of its extreme points and rays.

Mapping and controlling molecular processes: The application of control theory and system identification algorithms to ASOPS and other fast pulse spectroscopies

Asynchronous Optical Sampling (ASOPS) [1,2] and frequency comb spectrometry [3] based on dual Ti:saphire resonators operated in a master/slave mode have the potential to improve signal to noise ratio in THz transient and IR sperctrometry. The multimode Brownian oscillator time-domain response function described by state-space models is a mathematically robust framework that can be used to describe the dispersive phenomena governed by Lorentzian, Debye and Drude responses. In addition, the optical properties of an arbitrary medium can be expressed as a linear combination of simple multimode Brownian oscillator functions. The suitability of a range of signal processing schemes adopted from the Systems Identification and Control Theory community for further processing the recorded THz transients in the time or frequency domain will be outlined [4,5]. Since a femtosecond duration pulse is capable of persistent excitation of the medium within which it propagates, such approach is perfectly justifiable. Several de-noising routines based on system identification will be shown. Furthermore, specifically developed apodization structures will be discussed. These are necessary because due to dispersion issues, the time-domain background and sample interferograms are non-symmetrical [6-8]. These procedures can lead to a more precise estimation of the complex insertion loss function. The algorithms are applicable to femtosecond spectroscopies across the EM spectrum. Finally, a methodology for femtosecond pulse shaping using genetic algorithms aiming to map and control molecular relaxation processes will be mentioned.

Erythropoietin mimics the acute phase response in critical illness

Background: In a prospective observational study, we examined the temporal relationships between serum erythropoietin (EPO) levels, haemoglobin concentration and the inflammatory response in critically ill patients with and without acute renal failure (ARF). Patients and method Twenty-five critically ill patients, from general and cardiac intensive care units (ICUs) in a university hospital, were studied. Eight had ARF and 17 had normal or mildly impaired renal function. The comparator group included 82 nonhospitalized patients with normal renal function and varying haemoglobin concentrations. In the patients, levels of haemoglobin, serum EPO, C-reactive protein, IL-1β, IL-6, serum iron, ferritin, vitamin B12 and folate were measured, and Coombs test was performed from ICU admission until discharge or death. Concurrent EPO and haemoglobin levels were measured in the comparator group. Results: EPO levels were initially high in patients with ARF, falling to normal or low levels by day 3. Thereafter, almost all ICU patients demonstrated normal or low EPO levels despite progressive anaemia. IL-6 exhibited a similar initial pattern, but levels remained elevated during the chronic phase of critical illness. IL-1β was undetectable. Critically ill patients could not be distinguished from nonhospitalized anaemic patients on the basis of EPO levels. Conclusion: EPO levels are markedly elevated in the initial phase of critical illness with ARF. In the chronic phase of critical illness, EPO levels are the same for patients with and those without ARF, and cannot be distinguished from noncritically ill patients with varying haemoglobin concentrations. Exogenous EPO therapy is unlikely to be effective in the first few days of critical illness.

Apodisation, denoising and system identification techniques for THz transients in the wavelet domain

This work describes the use of a quadratic programming optimization procedure for designing asymmetric apodization windows to de-noise THz transient interferograms and compares these results to those obtained when wavelet signal processing algorithms are adopted. A systems identification technique in the wavelet domain is also proposed for the estimation of the complex insertion loss function. The proposed techniques can enhance the frequency dependent dynamic range of an experiment and should be of particular interest to the THz imaging and tomography community. Future advances in THz sources and detectors are likely to increase the signal-to-noise ratio of the recorded THz transients and high quality apodization techniques will become more important, and may set the limit on the achievable accuracy of the deduced spectrum.

Classification of lactose and mandelic acid THz spectra using subspace and wavelet-packet algorithms

This work compares classification results of lactose, mandelic acid and dl-mandelic acid, obtained on the basis of their respective THz transients. The performance of three different pre-processing algorithms applied to the time-domain signatures obtained using a THz-transient spectrometer are contrasted by evaluating the classifier performance. A range of amplitudes of zero-mean white Gaussian noise are used to artificially degrade the signal-to-noise ratio of the time-domain signatures to generate the data sets that are presented to the classifier for both learning and validation purposes. This gradual degradation of interferograms by increasing the noise level is equivalent to performing measurements assuming a reduced integration time. Three signal processing algorithms were adopted for the evaluation of the complex insertion loss function of the samples under study; a) standard evaluation by ratioing the sample with the background spectra, b) a subspace identification algorithm and c) a novel wavelet-packet identification procedure. Within class and between class dispersion metrics are adopted for the three data sets. A discrimination metric evaluates how well the three classes can be distinguished within the frequency range 0. 1 - 1.0 THz using the above algorithms.

Optimal discrimination and classification of THz spectra in the wavelet domain

In rapid scan Fourier transform spectrometry, we show that the noise in the wavelet coefficients resulting from the filter bank decomposition of the complex insertion loss function is linearly related to the noise power in the sample interferogram by a noise amplification factor. By maximizing an objective function composed of the power of the wavelet coefficients divided by the noise amplification factor, optimal feature extraction in the wavelet domain is performed. The performance of a classifier based on the output of a filter bank is shown to be considerably better than that of an Euclidean distance classifier in the original spectral domain. An optimization procedure results in a further improvement of the wavelet classifier. The procedure is suitable for enhancing the contrast or classifying spectra acquired by either continuous wave or THz transient spectrometers as well as for increasing the dynamic range of THz imaging systems. (C) 2003 Optical Society of America.

Cannabidivarin is anticonvulsant in mouse and rat in vitro and in seizure models

Summary Background and purpose: Phytocannabinoids in Cannabis sativa have diverse pharmacological targets extending beyond cannabinoid receptors and several exert notable anticonvulsant effects. For the first time, we investigated the anticonvulsant profile of the phytocannabinoid cannabidivarin (CBDV) in vitro and in in vivo seizure models. Experimental approach: The effect of CBDV (1-100μM) on epileptiform local field potentials (LFPs) induced in rat hippocampal brain slices by 4-AP application or Mg2+-free conditions was assessed by in vitro multi-electrode array recordings. Additionally, the anticonvulsant profile of CBDV (50-200 mg kg-1) in vivo was investigated in four rodent seizure models: maximal electroshock (mES) and audiogenic seizures in mice, and pentylenetetrazole (PTZ) and pilocarpine-induced seizures in rat. CBDV effects in combination with commonly-used antiepileptic drugs were investigated in rat seizures. Finally, the motor side effect profile of CBDV was investigated using static beam and gripstrength assays. Key results: CDBV significantly attenuated status epilepticus-like epileptiform LFPs induced by 4-AP and Mg2+-free conditions. CBDV had significant anticonvulsant effects in mES (≥100 mg kg-1), audiogenic (≥50 mg kg-1) and PTZ-induced seizures (≥100 mg kg-1). CBDV alone had no effect against pilocarpine-induced seizures, but significantly attenuated these seizures when administered with valproate or phenobarbital at 200 mg kg-1 CBDV. CBDV had no effect on motor function. Conclusions and Implications: These results indicate that CBDV is an effective anticonvulsant across a broad range of seizure models, does not significantly affect normal motor function and therefore merits further investigation in chronic epilepsy models to justify human trials.

Dysregulation of REST-regulated coding and non-coding RNAs in a cellular model of Huntington's disease

Huntingtin (Htt) protein interacts with many transcriptional regulators, with widespread disruption to the transcriptome in Huntington's disease (HD) brought about by altered interactions with the mutant Htt (muHtt) protein. Repressor Element-1 Silencing Transcription Factor (REST) is a repressor whose association with Htt in the cytoplasm is disrupted in HD, leading to increased nuclear REST and concomitant repression of several neuronal-specific genes, including brain-derived neurotrophic factor (Bdnf). Here, we explored a wide set of HD dysregulated genes to identify direct REST targets whose expression is altered in a cellular model of HD but that can be rescued by knock-down of REST activity. We found many direct REST target genes encoding proteins important for nervous system development, including a cohort involved in synaptic transmission, at least two of which can be rescued at the protein level by REST knock-down. We also identified several microRNAs (miRNAs) whose aberrant repression is directly mediated by REST, including miR-137, which has not previously been shown to be a direct REST target in mouse. These data provide evidence of the contribution of inappropriate REST-mediated transcriptional repression to the widespread changes in coding and non-coding gene expression in a cellular model of HD that may affect normal neuronal function and survival.