Age-Related Changes in Visual Spatial Working Memory Cognits: Frontal-Parietal EEG Coherence During Delay

This study explored changes in scalp electrophysiology across two Working Memory (WM) tasks and two age groups. Continuous electroencephalography (EEG) was recorded from 18 healthy adults (18-34 years) and 12 healthy adolescents (14-17) during the performance of two Oculomotor Delayed Response (ODR) WM tasks; (i.e. eye movements were the metric of motor response). Delay-period, EEG data in the alpha frequency was sampled from anterior and parietal scalp sites to achieve a general measure of frontal and parietal activity, respectively. Frontal-parietal, alpha coherence was calculated for each participant for each ODR-WM task. Coherence significantly decreased in adults moving across the two ODR tasks, whereas, coherence significantly increased in adolescents moving across the two ODR tasks. The effects of task in the adolescent and adult groups were large and medium, respectively. Within the limits of this study, the results provide empirical support that WM development during adolescence include complex, qualitative, change.

Decisive Coalitions and Coherence Properties

In a seminal contribution, Hansson has demonstrated that the family of decisive coalitions associated with an Arrovian social welfare function forms an ultrafilter. If the population under consideration is infinite, his result implies the existence of nondictatorial social welfare functions. He goes on to show that if transitivity is weakened to quasi-transitivity as the coherence property imposed on a social relation, the set of decisive coalitions is a filter. We examine the structure of decisive coalitions and analogous concepts with alternative coherence properties, namely, acyclicity and Suzumura consistency, and without assuming that the social relation is complete.

Increased Degranulation of Natural Killer Cells during Acute HCV Correlates with the Magnitude of Virus-specific T cell Responses

Ce manuscrit est une pré-publication d'un article paru dans Journal of Hepatology 2010; 53(5): 805-816.

Modélisation de l'irradiance solaire totale et spectrale et applications à la chimie stratosphérique terrestre

Cette thèse présente des reconstructions de l'irradiance totale et spectrale durant les 400 dernières années à l'aide des modèles pour l'irradiance totale et l'irradiance spectrale dans l'ultraviolet développés à l'Université de Montréal. Tous deux sont basés sur la simulation de l'émergence, de la fragmentation et de l'érosion des taches solaires, qui permet d'obtenir une distribution de l'aire des taches sombres et des facules brillantes en fonction du temps. Ces deux composantes sont principalement responsables de la variation de l'irradiance sur l'échelle de temps de la décennie, qui peut être calculée en sommant leur émissivité à celle de la photosphère inactive. La version améliorée du modèle d'irradiance solaire spectrale MOCASSIM inclut une extension de son domaine spectral entre 150 et 400 nm ainsi que de son domaine temporel, débutant originalement en 1874 et couvrant maintenant la période débutant en 1610 jusqu'au présent. Cela permet de reconstruire le spectre ultraviolet durant le minimum de Maunder et de le comparer à celui du minimum de 2009. Les conclusions tirées de cette étude spécifient que l'émissivité dans l'ultraviolet était plus élevée en 2009 que durant le minimum de Maunder, que le niveau de base de la photosphère non magnétisée contribuait pour environ les deux tiers de cette différence et que les structures magnétiques restantes étaient responsables pour le tiers restant. Le modèle d'irradiance totale a vu son domaine temporel étendu sur la même période et une composante représentant le réseau magnétique de façon réaliste y a été ajoutée. Il a été démontré que les observations des 30 dernières années ne sont bien reproduites qu'en incluant la composante du Soleil non magnétisé variable à long terme. Le processus d'optimisation des paramètres libres du modèle a été effectué en minimisant le carré de la somme de l'écart journalier entre les résultats des calculs et les données observées. Les trois composites disponibles, soit celui du PMOD (Physikalisch Meteorologisches Observatorium Davos), d'ACRIM (ACtive Radiometer Irradiance Monitor) et du IRMB (Institut Royal Météorologique de Belgique), ne sont pas en accord entre eux, en particulier au niveau des minima du cycle d'activité, et le modèle permet seulement de reproduire celui du PMOD avec exactitude lorsque la composante variable à long terme est proportionnelle au flux radio à 10.7 cm. Toutefois, en utilisant des polynômes de Lagrange pour représenter la variation du Soleil inactif, l'accord est amélioré pour les trois composites durant les minima, bien que les relations entre le niveau minimal de l'irradiance et la longueur du cycle précédent varient d'un cas à l'autre. Les résultats obtenus avec le modèle d'irradiance spectrale ont été utilisés dans une étude d'intercomparaison de la réponse de la photochimie stratosphérique à différentes représentations du spectre solaire. Les simulations en mode transitoire d'une durée de 10 jours ont été effectuées avec un spectre solaire constant correspondant soit à une période d'activité minimale ou à une période d'activité maximale. Ceci a permis d'évaluer la réponse de la concentration d'ozone à la variabilité solaire au cours d'un cycle et la différence entre deux minima. En plus de ceux de MOCASSIM, les spectres produits par deux modèles ont été utilisés (NRLSSI et MGNM) ainsi que les données de SIM et SOLSTICE/SORCE. La variabilité spectrale de chacun a été extraite et multipliée à un spectre de base représentant le minimum d'activité afin de simuler le spectre au maximum d'activité. Cela a été effectué dans le but d'isoler l'effet de la variabilité seule et d'exclure celui de la valeur absolue du spectre. La variabilité spectrale d'amplitude relativement élevée des observations de SORCE n'a pas provoqué l'inversion de la réponse de l'ozone à hautes altitudes obtenues par d'autres études, ce qui peut être expliqué par la nature même du modèle utilisé ainsi que par sa limite supérieure en altitude. Finalement, la réponse de l'ozone semble être à peu près proportionnelle à la variabilité de l'intégrale du flux pour lambda<241 nm. La comparaison des concentrations d'ozone obtenues avec les spectres originaux au minimum d'activité démontre que leur différence est du même ordre de grandeur que la variabilité entre le minimum et le maximum d'un cycle typique. Le problème du choix de la reconstruction de l'irradiance à utiliser pour les simulations climatiques dans le passé demeure non résolu.

Institutional Boundaries and Judicial Review - Some Thoughts on How the Court is Going About Its Business: Desperately Seeking Coherence

Cet article a précédemment été publié par la Supreme Court Law Review (Second Series).

Dynamics of Rifting Along the Southwest Continental margin of India Through Coherence and Process oriented Analysis of Gravity Data

Department of Marine Geology and Geophysics,Cochin University of Science and Technology

Mean Squared Residue Based Biclustering Algorithms for the Analysis of Gene Expression Data

Computational Biology is the research are that contributes to the analysis of biological data through the development of algorithms which will address significant research problems.The data from molecular biology includes DNA,RNA ,Protein and Gene expression data.Gene Expression Data provides the expression level of genes under different conditions.Gene expression is the process of transcribing the DNA sequence of a gene into mRNA sequences which in turn are later translated into proteins.The number of copies of mRNA produced is called the expression level of a gene.Gene expression data is organized in the form of a matrix. Rows in the matrix represent genes and columns in the matrix represent experimental conditions.Experimental conditions can be different tissue types or time points.Entries in the gene expression matrix are real values.Through the analysis of gene expression data it is possible to determine the behavioral patterns of genes such as similarity of their behavior,nature of their interaction,their respective contribution to the same pathways and so on. Similar expression patterns are exhibited by the genes participating in the same biological process.These patterns have immense relevance and application in bioinformatics and clinical research.Theses patterns are used in the medical domain for aid in more accurate diagnosis,prognosis,treatment planning.drug discovery and protein network analysis.To identify various patterns from gene expression data,data mining techniques are essential.Clustering is an important data mining technique for the analysis of gene expression data.To overcome the problems associated with clustering,biclustering is introduced.Biclustering refers to simultaneous clustering of both rows and columns of a data matrix. Clustering is a global whereas biclustering is a local model.Discovering local expression patterns is essential for identfying many genetic pathways that are not apparent otherwise.It is therefore necessary to move beyond the clustering paradigm towards developing approaches which are capable of discovering local patterns in gene expression data.A biclusters is a submatrix of the gene expression data matrix.The rows and columns in the submatrix need not be contiguous as in the gene expression data matrix.Biclusters are not disjoint.Computation of biclusters is costly because one will have to consider all the combinations of columans and rows in order to find out all the biclusters.The search space for the biclustering problem is 2 m+n where m and n are the number of genes and conditions respectively.Usually m+n is more than 3000.The biclustering problem is NP-hard.Biclustering is a powerful analytical tool for the biologist.The research reported in this thesis addresses the problem of biclustering.Ten algorithms are developed for the identification of coherent biclusters from gene expression data.All these algorithms are making use of a measure called mean squared residue to search for biclusters.The objective here is to identify the biclusters of maximum size with the mean squared residue lower than a given threshold. All these algorithms begin the search from tightly coregulated submatrices called the seeds.These seeds are generated by K-Means clustering algorithm.The algorithms developed can be classified as constraint based,greedy and metaheuristic.Constarint based algorithms uses one or more of the various constaints namely the MSR threshold and the MSR difference threshold.The greedy approach makes a locally optimal choice at each stage with the objective of finding the global optimum.In metaheuristic approaches particle Swarm Optimization(PSO) and variants of Greedy Randomized Adaptive Search Procedure(GRASP) are used for the identification of biclusters.These algorithms are implemented on the Yeast and Lymphoma datasets.Biologically relevant and statistically significant biclusters are identified by all these algorithms which are validated by Gene Ontology database.All these algorithms are compared with some other biclustering algorithms.Algorithms developed in this work overcome some of the problems associated with the already existing algorithms.With the help of some of the algorithms which are developed in this work biclusters with very high row variance,which is higher than the row variance of any other algorithm using mean squared residue, are identified from both Yeast and Lymphoma data sets.Such biclusters which make significant change in the expression level are highly relevant biologically.

Squared interaction matrix Sherrington-Kirkpatrick model for a spin glass

The mean-field theory of a spin glass with a specific form of nearest- and next-nearest-neighbor interactions is investigated. Depending on the sign of the interaction matrix chosen we find either the continuous replica symmetry breaking seen in the Sherrington-Kirkpartick model or a one-step solution similar to that found in structural glasses. Our results are confirmed by numerical simulations and the link between the type of spin-glass behavior and the density of eigenvalues of the interaction matrix is discussed.

Biclustering Gene Expression Data using MSR Difference Threshold

Biclustering is simultaneous clustering of both rows and columns of a data matrix. A measure called Mean Squared Residue (MSR) is used to simultaneously evaluate the coherence of rows and columns within a submatrix. In this paper a novel algorithm is developed for biclustering gene expression data using the newly introduced concept of MSR difference threshold. In the first step high quality bicluster seeds are generated using K-Means clustering algorithm. Then more genes and conditions (node) are added to the bicluster. Before adding a node the MSR X of the bicluster is calculated. After adding the node again the MSR Y is calculated. The added node is deleted if Y minus X is greater than MSR difference threshold or if Y is greater than MSR threshold which depends on the dataset. The MSR difference threshold is different for gene list and condition list and it depends on the dataset also. Proper values should be identified through experimentation in order to obtain biclusters of high quality. The results obtained on bench mark dataset clearly indicate that this algorithm is better than many of the existing biclustering algorithms

A method to obtain the integrated contour image in colour scenes

This paper describes a method to achieve the most relevant contours of an image. The presented method proposes to integrate the information of the local contours from chromatic components such as H, S and I, taking into account the criteria of coherence of the local contour orientation values obtained from each of these components. The process is based on parametrizing pixel by pixel the local contours (magnitude and orientation values) from the H, S and I images. This process is carried out individually for each chromatic component. If the criterion of dispersion of the obtained orientation values is high, this chromatic component will lose relevance. A final processing integrates the extracted contours of the three chromatic components, generating the so-called integrated contours image

Cognitive coherence in the evluation of a novel single item

Article published in Judgement and Decision-Making

Covariance, correlations, and r squared

lecture slides for COMP6235

Factores asociados al desarrollo de formas sintomáticas de hipercalciuria idiopática en niños de la Fundación Cardioinfantil

La hipercalciuria idiopática (HI) es un trastorno metabólico frecuente, con curso clínico, la mayoría de las veces asintomático. Sin embargo, en algunos pacientes se manifiesta clínicamente con hematuria, polaquiuria, disuria, incontinencia urinaria, enuresis y dolor abdominal o lumbar, los cuales afectan las actividades diarias de los niños y motivan consultas médicas repetitivas, con los costos que esto genera. Se requiere de la sospecha clínica y el conocimiento de la enfermedad para su diagnóstico y tratamiento oportunos. Objetivo. Determinar los factores relacionados con el desarrollo de la forma sintomática de HI, para lo cual se estudiaron: la magnitud de la calciuria, el antecedente familiar de urolitiasis, el género, la edad y la excreción de oxalato de calcio. El propósito final fue ampliar y difundir el conocimiento de la enfermedad dentro de la comunidad médica. Materiales y métodos. Se realizó un estudio analítico de casos y controles para determinar la relación existente entre los factores mencionados y la presencia de síntomas de HI. La población de estudio estuvo compuesta por 60 pacientes con diagnóstico establecido de HI, de la consulta de Nefropediatría de la Fundación Cardioinfantil, con edades entre los 2 y los 13 años. La metodología consistió en un estudio no pareado con 1,4 casos por cada control. Para el análisis estadístico de las asociaciones entre los factores en estudio y la HI sintomática se utilizó la prueba exacta de Fisher y el Ji cuadrado de Pearson con un nivel de significancia del 5% (p<0,05). Para establecer la fuerza de la asociación se calculó la razón de disparidad (OR) y el intervalo de confianza del 95%. Además, se determinaron las variables que explican en conjunto la HI sintomática, controlando las variables de confusión con un modelo de regresión logística incondicional a un nivel de significancia del 5% (p<0,05). Resultados. Se establecieron asociaciones entre los siguientes factores y la presencia de síntomas de HI en niños: el género masculino (p = 0,006; OR = 6,2; IC = 1,6-24,5) y la magnitud de la calciuria (p = 0,003). Con menor diferencia estadística se encontraron el antecedente familiar positivo de urolitiasis (p = 0,018; OR = 4,889; IC = 1,26-19,48) y el incremento en la edad (p = 0,044). La presencia de oxalato de calcio en el uroanálisis no se relacionó con los síntomas de HI (p = 0,2; OR = 0,59; IC = 0,17-1,49). Conclusiones. Los valores elevados de calciuria M(mayor a 6 mg/kg/día) y el género masculino, se asocian con la presencia de síntomas de HI en niños. Adicionalmente, se observaron, con frecuencia, en el grupo de pacientes sintomáticos, la presencia de niños de edades mayores y el antecedente familiar positivo de litiasis renal, aunque no se evidencian diferencias significativas para estos dos factores. El hallazgo de cristales de oxalato de calcio en el uroanálisis no se relacionó con los síntomas de HI.

Conformations of poly{G}-poly{C} π stacks with high hole mobility

Charge transfer properties of DNA depend strongly on the π stack conformation. In the present paper, we identify conformations of homogeneous poly-{G}-poly-{C} stacks that should exhibit high charge mobility. Two different computational approaches were applied. First, we calculated the electronic coupling squared, V2, between adjacent base pairs for all 1 ps snapshots extracted from 15 ns molecular dynamics trajectory of the duplex G15. The average value of the coupling squared 〈 V2 〉 is found to be 0.0065 eV2. Then we analyze the base-pair and step parameters of the configurations in which V2 is at least an order of magnitude larger than 〈 V2 〉. To obtain more consistent data, ∼65 000 configurations of the (G:C)2 stack were built using systematic screening of the step parameters shift, slide, and twist. We show that undertwisted structures (twist<20°) are of special interest, because the π stack conformations with strong electronic couplings are found for a wide range of slide and shift. Although effective hole transfer can also occur in configurations with twist=30° and 35°, large mutual displacements of neighboring base pairs are required for that. Overtwisted conformation (twist38°) seems to be of limited interest in the context of effective hole transfer. The results may be helpful in the search for DNA based elements for nanoelectronics