The Pole Behaviour of the Phase Derivative of the Short-Time Fourier Transform

The short-time Fourier transform (STFT) is a time-frequency representation widely used in applications, for example in audio signal processing. Recently it has been shown that not only the amplitude, but also the phase of this representation can be successfully exploited for improved analysis and processing. In this paper we describe a rather peculiar pole phenomenon in the phase derivative, a recurring pattern that appears in a characteristic way in the neighborhood around any of the zeros of the STFT, a negative peak followed by a positive one. We describe this phenomenon numerically and provide a complete analytical explanation.Comment: 15 pages, 4 figures; Applied and Computational Harmonic Analysis (in press), available online 22 October 201

On the size of identifying codes in triangle-free graphs

In an undirected graph $G$, a subset $C\subseteq V(G)$ such that $C$ is a dominating set of $G$, and each vertex in $V(G)$ is dominated by a distinct subset of vertices from $C$, is called an identifying code of $G$. The concept of identifying codes was introduced by Karpovsky, Chakrabarty and Levitin in 1998. For a given identifiable graph $G$, let \M(G) be the minimum cardinality of an identifying code in $G$. In this paper, we show that for any connected identifiable triangle-free graph $G$ on $n$ vertices having maximum degree $\Delta\geq 3$, \M(G)\le n-\tfrac{n}{\Delta+o(\Delta)}. This bound is asymptotically tight up to constants due to various classes of graphs including $(\Delta-1)$-ary trees, which are known to have their minimum identifying code of size $n-\tfrac{n}{\Delta-1+o(1)}$. We also provide improved bounds for restricted subfamilies of triangle-free graphs, and conjecture that there exists some constant $c$ such that the bound \M(G)\le n-\tfrac{n}{\Delta}+c holds for any nontrivial connected identifiable graph $G$

Antinuclear Antibodies in Patients with Psoriatic Arthritis Treated or Not with Biologics

International audienceBackground:With the emergence of biotherapies, accurate diagnosis in early arthritis is needed. At this time, there is no biological marker of psoriatic arthritis.Objective:To test whether antinuclear antibodies (ANA) can be used as a diagnostic tool in psoriatic arthritis (PsA), we evaluated the prevalence of ANA in biologic-naïve PsA patients and in healthy blood donors.Methods:232 patients from the Rheumatology department, St Marguerite's Hospital, Marseilles, who fulfilled the CASPAR criteria for PsA, underwent clinical and laboratory investigations. Antinuclear antibodies (ANA), anti-extractable nuclear antigen antibodies (ENA), rheumatoid factor (RF), anti-citrullinated protein antibodies (ACPA) were assayed. Ninety-one healthy blood donors were also tested.Results:Detection of ANA by indirect immunofluorescence was significantly more frequent in sera from PsA patients than those from controls at serum dilution of 1:100 (57% compared with 40%, Odds Ratio (OR) 1.98 (1.2-3.4) p<0.02) and 1:160 (52% compared with 24%, OR 3,7 (1.9-7.2) p<0.001). No patients had lupus specific autoantibodies, 15 % had RF (34/232), and 1.7 % had ACPA (4/232).Conclusions:Detection of ANA was more frequent in sera from PsA patients than in those from healthy controls. This suggests that ANA could be a diagnosis orientation tool in PsA. Nevertheless, the specificity of these antibodies still remains to be investigated

IoT and information processing in smart energy applications.

The articles in this special section address smart energy applications from the perspective of the Internet of Things (IoT). For smart grid applications, we need to predict the electrical load so that the underlying smart grid can effectively balance the power supply and demand. In general, predictions are made based on the data obtained using IoT and smart meter technologies. The (IoT) could accelerate establishment of such infrastructures. With IoT technologies, many more devices could be controlled and managed through the Internet; data pertaining to the grid, commercial buildings, and residential premises can readily be collected and utilized. To derive valuable information from the data, further information and data processing become essential

Proton MR spectroscopy and diffusion MR imaging monitoring to predict tumor response to interstitial photodynamic therapy for glioblastoma

International audienceDespite recent progress in conventional therapeutic approaches, the vast majority of glioblastoma recur locally, indicating that a more aggressive local therapy is required. Interstitial photodynamic therapy (iPDT) appears as a very promising and complementary approach to conventional therapies. However, an optimal fractionation scheme for iPDT remains the indispensable requirement. To achieve that major goal, we suggested following iPDT tumor response by a non-invasive imaging monitoring. Nude rats bearing intracranial glioblastoma U87MG xenografts were treated by iPDT, just after intravenous injection of AGuIX® nanoparticles, encapsulating PDT and imaging agents. Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy (MRS) allowed us an original longitudinal follow-up of post-treatment effects to discriminate early predictive markers. We successfully used conventional MRI, T2 star (T2*), Diffusion Weighted Imaging (DWI) and MRS to extract relevant profiles on tissue cytoarchitectural alterations, local vascular disruption and metabolic information on brain tumor biology, achieving earlier assessment of tumor response. From one day post-iPDT, DWI and MRS allowed us to identify promising markers such as the Apparent Diffusion Coefficient (ADC) values, lipids, choline and myoInositol levels that led us to distinguish iPDT responders from non-responders. All these responses give us warning signs well before the tumor escapes and that the growth would be appreciated

Could conservative iron chelation lead to neuroprotection in amyotrophic lateral sclerosis?

Iron accumulation has been observed in mouse models and both sporadic and familial forms of Amyotrophic lateral sclerosis. Iron chelation could reduce iron accumulation and the related excess of oxidative stress in the motor pathways. However, classical iron chelation would induce systemic iron depletion. We assess the safety and efficacy of conservative iron chelation (i.e. chelation with low risk of iron depletion) in a murine preclinical model and pilot clinical trial. In Sod1G86R mice, deferiprone increased the mean life span as compared with placebo. The safety was good, without anemia after 12 months of deferiprone in the 23 ALS patients enrolled in the clinical trial. The decreases in the ALS Functional Rating Scale and the body mass index (BMI) were significantly smaller for the first 3 months of deferiprone treatment (30 mg/kg/day) than for the first treatment-free period. Iron levels in the cervical spinal cord, medulla oblongata and motor cortex (according to MRI), as well as cerebrospinal fluid levels of oxidative stress and neurofilament light chains were lower after deferiprone treatment. Our observation leads to the hypothesis that moderate iron chelation regimen that avoids changes in systemic iron levels may constitute a novel therapeutic modality of neuroprotection for ALS

Caractérisation des perturbations métaboliques induites par les antipsychotiques dans un modèle murin : approches par la résonance magnétique

Antipsychotics are widely used psychoactive drugs for the treatment of schizophrenia symptoms. The use of second-generation agents has reduced the onset of extrapyramidal disorders, but still causes side effects comprising weight gain, dyslipidemia, and type-2 diabetes. The ensuing deterioration of patients’ conditions is one of the main reasons for the abandonment of this treatment exposing patients to an increased risk of relapse. This PhD had two objectives: (i) to characterize the metabolic disorders generated by a long-term treatment with risperidone, through the use of non-invasive techniques of magnetic resonance (MR); (ii) to prevent these disorders by means of a curcuminoid-supplemented diet. Our murine model enabled us to show that a 24-week treatment including weekly given risperidone induced metabolic disturbances related to the Metabolic Syndrome. Magnetic resonance imaging was sensitive enough to highlight these disturbances and to allow the identification of predictive biomarkers for severity such as the hydrolipidic ratio, fatty acid unsaturation rate, and adipose tissues repartitioning. At the pharmacological level, curcuminoid supplementation prevented the risperidone-induced hepatomegaly and glucose intolerance. These benefits were associated with the modulation of gene expression related to lipogenesis (FAS, ACC1), lipolysis (ACO) or inflammation (NFκB). In a clinical perspective, the herein PhD underlines the diagnostic potential of this MR-based experimental framework for the monitoring of metabolic disturbances.Les antipsychotiques sont des agents psychoactifs utilisés pour traiter les symptômes de la schizophrénie. Si la mise sur le marché de la seconde génération de molécule a permis de diminuer l’apparition des troubles extrapyramidaux, elle reste néanmoins associée à des effets secondaires caractérisés principalement par une prise de poids assortie d’une dyslipidémie et d'un développement du diabète de type 2. Ces effets indésirables entraînent chez les patients une dégradation de leurs conditions de vie et constituent l'une des principales causes d'abandon de ce traitement, les exposant à un risque accru de rechute. L’objectif de ce travail était double : (i) caractériser les troubles métaboliques induits par un traitement à long terme à la rispéridone en utilisant des techniques non-invasives de résonance magnétique ; (ii) prévenir ces troubles par un régime alimentaire supplémenté en curcuminoïdes. Notre modèle a permis de montrer qu'un traitement hebdomadaire de 24 semaines entraînait des perturbations apparentées au syndrome métabolique. L’imagerie par résonance magnétique était suffisamment sensible pour caractériser ces conséquences métaboliques iatrogènes et permettait de définir des biomarqueurs prédictifs de sévérité comme le ratio hydro-lipidique, le degré d’insaturation des acides gras et le remodelage de la répartition des tissus adipeux. Sur le plan pharmacologique, la supplémentation en curcuminoïdes permettait de prévenir l’hépatomégalie et l’intolérance au glucose induite par la rispéridone. Ces bénéfices étaient associés à une modulation de l’expression de gènes hépatiques impliqués dans la lipogenèse (FAS, ACC1), dans la lipolyse (ACO) ou bien dans l’inflammation (NFκB). Le cadre expérimental défini dans ce travail met en avant la possibilité de transférer cette approche prédictive par résonance magnétique en clinique humaine

Characterizing metabolic disturbances induced by antipsychotic drugs in a murine model : magnetic resonance approach

Les antipsychotiques sont des agents psychoactifs utilisés pour traiter les symptômes de la schizophrénie. Si la mise sur le marché de la seconde génération de molécule a permis de diminuer l’apparition des troubles extrapyramidaux, elle reste néanmoins associée à des effets secondaires caractérisés principalement par une prise de poids assortie d’une dyslipidémie et d'un développement du diabète de type 2. Ces effets indésirables entraînent chez les patients une dégradation de leurs conditions de vie et constituent l'une des principales causes d'abandon de ce traitement, les exposant à un risque accru de rechute. L’objectif de ce travail était double : (i) caractériser les troubles métaboliques induits par un traitement à long terme à la rispéridone en utilisant des techniques non-invasives de résonance magnétique ; (ii) prévenir ces troubles par un régime alimentaire supplémenté en curcuminoïdes. Notre modèle a permis de montrer qu'un traitement hebdomadaire de 24 semaines entraînait des perturbations apparentées au syndrome métabolique. L’imagerie par résonance magnétique était suffisamment sensible pour caractériser ces conséquences métaboliques iatrogènes et permettait de définir des biomarqueurs prédictifs de sévérité comme le ratio hydro-lipidique, le degré d’insaturation des acides gras et le remodelage de la répartition des tissus adipeux. Sur le plan pharmacologique, la supplémentation en curcuminoïdes permettait de prévenir l’hépatomégalie et l’intolérance au glucose induite par la rispéridone. Ces bénéfices étaient associés à une modulation de l’expression de gènes hépatiques impliqués dans la lipogenèse (FAS, ACC1), dans la lipolyse (ACO) ou bien dans l’inflammation (NFκB). Le cadre expérimental défini dans ce travail met en avant la possibilité de transférer cette approche prédictive par résonance magnétique en clinique humaine.Antipsychotics are widely used psychoactive drugs for the treatment of schizophrenia symptoms. The use of second-generation agents has reduced the onset of extrapyramidal disorders, but still causes side effects comprising weight gain, dyslipidemia, and type-2 diabetes. The ensuing deterioration of patients’ conditions is one of the main reasons for the abandonment of this treatment exposing patients to an increased risk of relapse. This PhD had two objectives: (i) to characterize the metabolic disorders generated by a long-term treatment with risperidone, through the use of non-invasive techniques of magnetic resonance (MR); (ii) to prevent these disorders by means of a curcuminoid-supplemented diet. Our murine model enabled us to show that a 24-week treatment including weekly given risperidone induced metabolic disturbances related to the Metabolic Syndrome. Magnetic resonance imaging was sensitive enough to highlight these disturbances and to allow the identification of predictive biomarkers for severity such as the hydrolipidic ratio, fatty acid unsaturation rate, and adipose tissues repartitioning. At the pharmacological level, curcuminoid supplementation prevented the risperidone-induced hepatomegaly and glucose intolerance. These benefits were associated with the modulation of gene expression related to lipogenesis (FAS, ACC1), lipolysis (ACO) or inflammation (NFκB). In a clinical perspective, the herein PhD underlines the diagnostic potential of this MR-based experimental framework for the monitoring of metabolic disturbances

[Blood flow assessment with magnetic resonance imaging after 1.9 μm diode laser assisted arterial micronastomoses]

The most important factor for successful free-flap transfer and replantations is a well-executed anastomosis. The aim of this study is to assess blood flow after laser assisted arterial microanastomosis (LAMA) using a 1.9 μm diode laser

Long-Term Risperidone Treatment Induces Visceral Adiposity Associated with Hepatic Steatosis in Mice: A Magnetic Resonance Approach

Although atypical antipsychotic drugs (APDs) have led to significant advances in the treatment of psychotic disorders, they still induce metabolic disturbances. We aimed at characterizing the metabolic consequences of a risperidone treatment and at establishing a link with noninvasive MR markers, in order to develop a tool for predicting symptoms of the metabolic syndrome. Fat deposition and liver morphometry were assessed by T1-weighted imaging. Fatty acid composition and fat accumulations in tissues were determined using MR spectroscopy with and without water suppression, respectively. Risperidone treatment induced a weight gain accompanied with metabolic disturbances such as hyperglycemic status, an increase in visceral adipose tissue (VAT), and liver fat depositions. Correlations using Methylene-Water Ratio (MWR) and Polyunsaturated Index (PUI) demonstrated a concomitant increase in the weight gain, VAT and liver fat depositions, and a decrease in the quantity of polyunsaturated fatty acids. These results were consistent with a hepatic steatosis state. We evaluated the ability of MR techniques to detect subtle metabolic disorders induced by APDs. Thus, our model and methodology offer the possibility to investigate APDs side effects in order to improve the health conditions of schizophrenic patients