Search results for "Statistic"

Simple models for nonlinear states of double-helix DNA

2006

Review type introduction is given to the simple modeling of DNA. Intrinsically simple modeling aims at understanding or explaining of some “core” phenomena, not giving any all-embracing model of the underlying system. As a consequence the amount of this type of models and their versions is large. Here we have restricted our contemplation to the most important lines in the path of theoretical understanding of DNA melting or denaturation which is one of the important phases occurring during DNAs replication and transcription processes. The model “line” initiated by Peyrard and Bishop shows the richness these simple models can have.

Erratum to “New time-dependent Monte Carlo algorithm designed to model three-phase batch reactor processes: applications on 2,4-dinitro-toluene hydro…

2003

Erratum to “New time-dependent Monte Carlo algorithm designed to model three-phase batch reactor processes: applications on 2,4-dinitro-toluene hydrogenation on Pd/C catalysts” [Chem. Eng. J. 91 (2003) 133–142] Giampaolo Barone a,b, Dario Duca a,b,∗ a Dipartimento di Chimica Inorganica ed Analitica, Universita di Palermo, Viale delle Scienze, I-90128 Palermo, Italy b Dipartimento di Scienze Farmaceutiche, Universita di Salerno, Via Ponte don Melillo, I-84084 Fisciano, Salerno, Italy

PSYCHIATRY * P61 * DIMENSIONS AND CATEGORIES OF DSM V CRITERIA IN AN INTERNATIONAL SAMPLE OF DRINKING SUBJECTS AND INPATIENT ALCOHOL-DEPENDENT INDIVI…

2011

ElaC Encodes a Novel Binuclear Zinc Phosphodiesterase

2002

ElaC is a widespread gene found in eubacteria, archaebacteria, and mammals with a highly conserved sequence. Two human ElaC variants were recently associated with cancer (Tavtigian, S. V., Simard, J., Teng, D. H., Abtin, V., Baumgard, M., Beck, A., Camp, N. J., Carillo, A. R., Chen, Y., Dayananth, P., Desrochers, M., Dumont, M., Farnham, J. M., Frank, D., Frye, C., Ghaffari, S., Gupte, J. S., Hu, R., Iliev, D., Janecki, T., Kort, E. N., Laity, K. E., Leavitt, A., Leblanc, G., McArthur-Morrison, J., Pederson, A., Penn, B., Peterson, K. T., Reid, J. E., Richards, S., Schroeder, M., Smith, R., Snyder, S. C., Swedlund, B., Swensen, J., Thomas, A., Tranchant, M., Woodland, A. M., Labrie, F., Sko…

The contribution to poverty persistence of children, adults, and the elderly: some empirical evidences from eleven European countries

2012

This paper aims to communicate a new conceptualization of persistent poverty used to build the class of longitudinal poverty indices by Mendola et al. (2011), and to show how these indices could be helpful in analyzing the characteristics of persistence of poverty in different age groups. The indices are based upon the idea that the longer the sequence of consecutive high poverty gaps is, the worse the situation experienced. An empirical application on European Community Household Panel data compares the contributions of age groups to the overall index in some European countries and allows to identify the strata of population more exposed to poverty persistence.

Studying poverty over time: an analysis by gender and age in Europe

2013

This paper aims to communicate a new conceptualization of persistent poverty used to build the class of longitudinal poverty indices by Mendola et al.(2011), and to show how these indices could be helpful in analyzing the characteristics of persistence of poverty among generations. The indices are based upon the idea that the longer the sequence of consecutive high poverty gaps is, the worse the situation experienced. Moreover they introduce, via a parameter, the idea that the evaluation of the individual experiences of poverty must take into account the poverty mobility in the society. An empirical application on European Community Household Panel data compare the contributions of each gen…

Optimal “anti-Bayesian” parametric pattern classification using Order Statistics criteria

2012

Published version of a chapter in the book: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-33275-3_1 The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature space from each class, the optimal Bayesian strategy would be to achieve this based on the (Mahalanobis) distance from the corresponding means. The reader should observe that, in this context, the mean, in one sense, is the most central point in the respective distrib…

Classification in point patterns on linear networks under clutter

2022

The problem of features detection under present of clutter in point process on linear networks establishes a methodological and computational challenge with multiple kind of applications as traffic accidents among other. Previous works related to the same topical but developed in more simpler geometries tackles the issue of the clutter removal through the distance of nearest-neighbour and show good results with high classification rates. We extend this procedure to the linear networks motivated by the classification of the traffic accidents on the road network of a city. Simulations demonstrate the performance of the method.

Evidence for a link between the Atlantic Multidecadal Oscillation and annual asthma mortality rates in the US

2019

AbstractAn association between climatic conditions and asthma mortality has been widely assumed. However, it is unclear whether climatic variations have a fingerprint on asthma dynamics over long time intervals. The aim of this study is to detect a possible correlation between climatic indices, namely the Atlantic Multidecadal Oscillation and Pacific Decadal Oscillation, and asthma mortality rates over the period from 1950 to 2015 in the contiguous US. To this aim, an analysis of non-stationary and non-linear signals was performed on time series of US annual asthma mortality rates, AMO and PDO indices to search for characteristic periodicities. Results revealed that asthma death rates evalu…

Síntomas, signos y estadística: Aplicaciones de la estadística en ciencias de la salud y de la vida

2014

La determinación o constatación experimental de los mecanismos fisiológicos de las enfermedades suele ser una tarea muy compleja. Esto ha convertido a la epidemiología en la principal herramienta de generación de conocimiento en el ámbito médico. La epidemiología aprende sobre las enfermedades a partir de la observación de la salud en colectivos de personas, en lugar de la observación individual de éstas. Si la principal herramienta de generación de conocimiento médico se basa en la observación de colectivos de personas (muestras de una población) de las que querremos aprender (hacer inferencia), resulta claro el nexo entre la estadística y la medicina. A lo largo de este artículo ilustramo…