Multifocal pattern electroretinography for the detection of neural loss in eyes with permanent temporal hemianopia or quadrantanopia from chiasmal compression

Aims To evaluate the ability of multifocal transient pattern electroretinography (mfPERG) to detect neural loss and assess the relationship between mfPERG and visual-field (VF) loss in eyes with chiasmal compression. Methods 23 eyes from 23 patients with temporal VF defects and band atrophy of the optic nerve and 21 controls underwent standard automated perimetry and mfPERG using a stimulus pattern of 19 rectangles, each consisting of 12 squares. The response was determined for the central rectangle, for the nasal and temporal hemifields (eight rectangles each) and for each quadrant (three rectangles) in both patients and controls. Comparisons were made using variance analysis. Correlations between VF and mfPERG measurements were verified by linear regression analysis. Results Mean +/- SD mfPERG amplitudes from the temporal hemifield (0.50 +/- 0.17 and 0.62 +/- 0.32) and temporal quadrants (superior 0.42 +/- 0.21 and 0.52 +/- 0.35, inferior 0.51 +/- 0.23 and 0.74 +/- 0.40) were significantly lower in eyes with band atrophy than in controls (0.78 +/- 0.24, 0.89 +/- 0.28, 0.73 +/- 60.26, 0.96 +/- 0.36, 0.79 +/- 0.26 and 0.91 +/- 0.31, respectively). No significant difference was observed in nasal hemifield measurements. Significant correlations (0.36-0.73) were found between VF relative sensitivity and mfPERG amplitude in different VF sectors. Conclusions mfPERG amplitude measurements clearly differentiate eyes with temporal VF defect from controls. The good correlation between mfPERG amplitudes and the severity of VF defect suggests that mfPERG may be used as an indicator of ganglion cell dysfunction.

A comparative study on multiscale fractal dimension descriptors

Fractal theory presents a large number of applications to image and signal analysis. Although the fractal dimension can be used as an image object descriptor, a multiscale approach, such as multiscale fractal dimension (MFD), increases the amount of information extracted from an object. MFD provides a curve which describes object complexity along the scale. However, this curve presents much redundant information, which could be discarded without loss in performance. Thus, it is necessary the use of a descriptor technique to analyze this curve and also to reduce the dimensionality of these data by selecting its meaningful descriptors. This paper shows a comparative study among different techniques for MFD descriptors generation. It compares the use of well-known and state-of-the-art descriptors, such as Fourier, Wavelet, Polynomial Approximation (PA), Functional Data Analysis (FDA), Principal Component Analysis (PCA), Symbolic Aggregate Approximation (SAX), kernel PCA, Independent Component Analysis (ICA), geometrical and statistical features. The descriptors are evaluated in a classification experiment using Linear Discriminant Analysis over the descriptors computed from MFD curves from two data sets: generic shapes and rotated fish contours. Results indicate that PCA, FDA, PA and Wavelet Approximation provide the best MFD descriptors for recognition and classification tasks. (C) 2012 Elsevier B.V. All rights reserved.

Seasonal variations of melatonin in ram seminal plasma are correlated to those of testosterone and antioxidant enzymes

Abstract Background Some breeds of sheep are highly seasonal in terms of reproductive capability, and these changes are regulated by photoperiod and melatonin secretion. These changes affect the reproductive performance of rams, impairing semen quality and modifying hormonal profiles. Also, the antioxidant defence systems seem to be modulated by melatonin secretion, and shows seasonal variations. The aim of this study was to investigate the presence of melatonin and testosterone in ram seminal plasma and their variations between the breeding and non-breeding seasons. In addition, we analyzed the possible correlations between these hormones and the antioxidant enzyme defence system activity. Methods Seminal plasma from nine Rasa Aragonesa rams were collected for one year, and their levels of melatonin, testosterone, superoxide dismutase (SOD), glutathione reductase (GRD), glutathione peroxidase (GPX) and catalase (CAT) were measured. Results All samples presented measurable quantities of hormones and antioxidant enzymes. Both hormones showed monthly variations, with a decrease after the winter solstice and a rise after the summer solstice that reached the maximum levels in October-November, and a marked seasonal variation (P < 0.01) with higher levels in the breeding season. The yearly pattern of GRD and catalase was close to that of melatonin, and GRD showed a significant seasonal variation (P < 0.01) with a higher activity during the breeding season. Linear regression analysis between the studied hormones and antioxidant enzymes showed a significant correlation between melatonin and testosterone, GRD, SOD and catalase. Conclusions These results show the presence of melatonin and testosterone in ram seminal plasma, and that both hormones have seasonal variations, and support the idea that seasonal variations of fertility in the ram involve interplay between melatonin and the antioxidant defence system.

Phylogeography of the neotropical Anopheles triannulatus complex (Diptera: Culicidae) supports deep structure and complex patterns

Abstract Background The molecular phylogenetic relationships and population structure of the species of the Anopheles triannulatus complex: Anopheles triannulatus s.s., Anopheles halophylus and the putative species Anopheles triannulatus C were investigated. Methods The mitochondrial COI gene, the nuclear white gene and rDNA ITS2 of samples that include the known geographic distribution of these taxa were analyzed. Phylogenetic analyses were performed using Bayesian inference, Maximum parsimony and Maximum likelihood approaches. Results Each data set analyzed septely yielded a different topology but none provided evidence for the seption of An. halophylus and An. triannulatus C, consistent with the hypothesis that the two are undergoing incipient speciation. The phylogenetic analyses of the white gene found three main clades, whereas the statistical parsimony network detected only a single metapopulation of Anopheles triannulatus s.l. Seven COI lineages were detected by phylogenetic and network analysis. In contrast, the network, but not the phylogenetic analyses, strongly supported three ITS2 groups. Combined data analyses provided the best resolution of the trees, with two major clades, Amazonian (clade I) and trans-Andean + Amazon Delta (clade II). Clade I consists of multiple subclades: An. halophylus + An. triannulatus C; trans-Andean Venezuela; central Amazonia + central Bolivia; Atlantic coastal lowland; and Amazon delta. Clade II includes three subclades: Panama; cis-Andean Colombia; and cis-Venezuela. The Amazon delta specimens are in both clades, likely indicating local sympatry. Spatial and molecular variance analyses detected nine groups, corroborating some of subclades obtained in the combined data analysis. Conclusion Combination of the three molecular markers provided the best resolution for differentiation within An. triannulatus s.s. and An. halophylus and C. The latest two species seem to be very closely related and the analyses performed were not conclusive regarding species differentiation. Further studies including new molecular markers would be desirable to solve this species status question. Besides, results of the study indicate a trans-Andean origin for An. triannulatus s.l. The potential implications for malaria epidemiology remain to be investigated.

Added sugars: consumption and associated factors among adults and the elderly. São Paulo, Brazil

OBJECTIVE: To investigate added sugar intake, main dietary sources and factors associated with excessive intake of added sugar. METHODS: A population-based household survey was carried out in São Paulo, the largest city in Brazil. Cluster sampling was performed and the study sample comprised 689 adults and 622 elderly individuals. Dietary intake was estimated based on a 24-hour food recall. Usual nutrient intake was estimated by correcting for the within-person variance of intake using the Iowa State University (ISU) method. Linear regression analysis was conducted to identify factors associated with added sugar intake. RESULTS: Average of energy intake (EI) from added sugars was 9.1% (95% CI: 8.9%; 9.4%) among adults and 8.4% (95% CI: 8.2%; 8.7%) among the elderly (p < 0.05). Average added sugar intake (% EI) was higher among women than among men (p < 0.05). Soft drink was the main source of added sugar among adults, while table sugar was the main source of added sugar among the elderly. Added sugar intake increased with age among adults. Moreover, higher socioeconomic level was associated with added sugar intake in the same group. CONCLUSIONS: Added sugar intake is higher among younger adults of higher socioeconomic level. Soft drink and table sugar accounted for more than 50% of the sugar consumed.

Dahlberg formula: a novel approach for its evaluation

INTRODUCTION: The accurate evaluation of error of measurement (EM) is extremely important as in growth studies as in clinical research, since there are usually quantitatively small changes. In any study it is important to evaluate the EM to validate the results and, consequently, the conclusions. Because of its extreme simplicity, the Dahlberg formula is largely used worldwide, mainly in cephalometric studies. OBJECTIVES: (I) To elucidate the formula proposed by Dahlberg in 1940, evaluating it by comparison with linear regression analysis; (II) To propose a simple methodology to analyze the results, which provides statistical elements to assist researchers in obtaining a consistent evaluation of the EM. METHODS: We applied linear regression analysis, hypothesis tests on its parameters and a formula involving the standard deviation of error of measurement and the measured values. RESULTS AND CONCLUSION: we introduced an error coefficient, which is a proportion related to the scale of observed values. This provides new parameters to facilitate the evaluation of the impact of random errors in the research final results.

Worldwide spread of Dengue virus type 1

BACKGROUND: DENV-1 is one of the four viral serotypes that causes Dengue, the most common mosquito-borne viral disease of humans. The prevalence of these viruses has grown in recent decades and is now present in more than 100 countries. Limited studies document the spread of DENV-1 over the world despite its importance for human health. METHODOLOGY/PRINCIPAL FINDINGS: We used representative DENV-1 envelope gene sequences to unravel the dynamics of viral diffusion under a Bayesian phylogeographic approach. Data included strains from 45 distinct geographic locations isolated from 1944 to 2009. The estimated mean rate of nucleotide substitution was 6.56 × 10⁻⁴ substitutions/site/year. The larger genotypes (I, IV and V) had a distinctive phylogenetic structure and since 1990 they experienced effective population size oscillations. Thailand and Indonesia represented the main sources of strains for neighboring countries. Besides, Asia broadcast lineages into the Americas and the Pacific region that diverged in isolation. Also, a transmission network analysis revealed the pivotal role of Indochina in the global diffusion of DENV-1 and of the Caribbean in the diffusion over the Americas. CONCLUSIONS/SIGNIFICANCE: The study summarizes the spatiotemporal DENV-1 worldwide spread that may help disease control.

One-repetition maximum test and isokinetic leg extension and flexion: correlations and predicted values

The most typical maximum tests for measuring leg muscle performance are the one-repetition maximum leg press test (1RMleg) and the isokinetic knee extension/flexion (IKEF) test. Nevertheless, their inter-correlations have not been well documented, mainly the predicted values of these evaluations. This correlational and regression analysis study involved 30 healthy young males aged 18-24y, who have performed both tests. Pearson's product moment correlation between 1RMleg and IKEF varied from 0.20 to 0.69 and the more exact predicted test was to 1RMleg (R2 = 0.71). The study showed correlations between 1RMleg and IKEF although these tests are different (isotonic vs. isokinetic) and provided further support for cross determination of 1RMleg and IKEF by linear and multiple linear regression analysis.

Essays on Bayesian Inference for Social Networks

This thesis presents Bayesian solutions to inference problems for three types of social network data structures: a single observation of a social network, repeated observations on the same social network, and repeated observations on a social network developing through time. A social network is conceived as being a structure consisting of actors and their social interaction with each other. A common conceptualisation of social networks is to let the actors be represented by nodes in a graph with edges between pairs of nodes that are relationally tied to each other according to some definition. Statistical analysis of social networks is to a large extent concerned with modelling of these relational ties, which lends itself to empirical evaluation. The first paper deals with a family of statistical models for social networks called exponential random graphs that takes various structural features of the network into account. In general, the likelihood functions of exponential random graphs are only known up to a constant of proportionality. A procedure for performing Bayesian inference using Markov chain Monte Carlo (MCMC) methods is presented. The algorithm consists of two basic steps, one in which an ordinary Metropolis-Hastings up-dating step is used, and another in which an importance sampling scheme is used to calculate the acceptance probability of the Metropolis-Hastings step. In paper number two a method for modelling reports given by actors (or other informants) on their social interaction with others is investigated in a Bayesian framework. The model contains two basic ingredients: the unknown network structure and functions that link this unknown network structure to the reports given by the actors. These functions take the form of probit link functions. An intrinsic problem is that the model is not identified, meaning that there are combinations of values on the unknown structure and the parameters in the probit link functions that are observationally equivalent. Instead of using restrictions for achieving identification, it is proposed that the different observationally equivalent combinations of parameters and unknown structure be investigated a posteriori. Estimation of parameters is carried out using Gibbs sampling with a switching devise that enables transitions between posterior modal regions. The main goal of the procedures is to provide tools for comparisons of different model specifications. Papers 3 and 4, propose Bayesian methods for longitudinal social networks. The premise of the models investigated is that overall change in social networks occurs as a consequence of sequences of incremental changes. Models for the evolution of social networks using continuos-time Markov chains are meant to capture these dynamics. Paper 3 presents an MCMC algorithm for exploring the posteriors of parameters for such Markov chains. More specifically, the unobserved evolution of the network in-between observations is explicitly modelled thereby avoiding the need to deal with explicit formulas for the transition probabilities. This enables likelihood based parameter inference in a wider class of network evolution models than has been available before. Paper 4 builds on the proposed inference procedure of Paper 3 and demonstrates how to perform model selection for a class of network evolution models.

Metodología de evaluación de la gestión del conocimiento corporativo dentro del contexto del Modelo Suricata : aplicaciones

Programa de doctorado: Tecnologías de la Información y sus Aplicaciones

Gli assetti dipartimentali ospedalieri tra strutture formali e organizzazione informale

Il confronto in corso tra gli esperti di management sanitario sui dipartimenti ospedalieri, la crescente attenzione sui modelli di organizzazione a rete e le indagini sui servizi sanitari condotte con strumenti di analisi dei network hanno rappresentato la base su cui sviluppare il disegno dello studio. La prospettiva relazionale e le tecniche di social network analysis (Sna) sono state impiegate in un indagine empirica effettuata presso tre Dipartimenti Ospedalieri dell’Azienda USL di Bologna per osservare la struttura delle relazioni che intercorrono nell’ambito dei dipartimenti, tra le unità operative e tra i clinici, al fine di assicurare il quotidiano svolgersi dei processi clinico assistenziali dei pazienti. L’indagine si è posta tre obiettivi. Il primo è quello di confrontare la rete delle relazioni “reali” che intercorrono tra unità operative e tra clinici con le relazioni “progettate” attraverso l’afferenza delle unità operative nei dipartimenti e dei singoli clinici nelle unità operative. In sostanza si tratta di confrontare, con intenti esclusivamente conoscitivi, la struttura organizzativa formale – istituzionale con quella “informale”, che emerge dalle relazioni giornaliere tra i professionisti. In secondo luogo si intende comprendere se e come i fattori di natura attributiva che caratterizzano i singoli rispondenti, (es. età, sesso, laurea, anni di permanenza in azienda, ecc.) incidano sulla natura e sull’intensità delle relazioni e delle collaborazioni intrattenute con i colleghi all’interno dell’azienda. L’analisi ha un intento “esplicativo”, in quanto si cerca di indagare come le similitudini nelle caratteristiche individuali possano o meno incidere sull’intensità degli scambi e quindi delle collaborazioni tra professionisti. Il terzo obiettivo è volto a comprendere se e come i fattori attributivi e/o relazionali siamo in grado di spiegare l’attitudine mostrata dai singoli professionisti rispetto l’adozione di un approccio alla pratica clinica ispirato all’Evidence based medicine. Lo scopo è quello di verificare se la disponibilità / orientamento ad operare in una prospettiva evidence based sia più legata ad elementi e caratteristiche personali piuttosto che all’influenza esercitata da coloro con i quali si entra in contatto per motivi lavorativi. La relativa semplicità della fase di indagine ha indotto ad arricchire i contenuti e gli obiettivi originari del lavoro allo scopo di correlare indicatori relazionali e attributivi con indicatori di “performance”, in particolare di efficienza e appropriatezza. Le relazioni sono state rilevate attraverso un questionario sociometrico inserito in uno spazio web accessibile dalla rete ospedaliera e compilato online da parte dei medici. Il questionario è stato organizzato in tre sezioni: la prima per la raccolta di informazioni anagrafiche e dati attributivi dei clinici; la seconda volta a raccogliere i dati relazionali, funzionali e di consulenza, verso le equipe di professionisti (unità operative) e verso i singoli colleghi clinici; la terza sezione è dedicata alla raccolta di informazioni sull’utilizzo delle evidenze scientifiche a supporto della propria pratica clinica (consultazione di riviste, banche dati, rapporti di HTA, etc,) e sulla effettiva possibilità di accesso a tali strumenti. L’azienda ha fornito i dati di struttura e la base dati degli indicatori di attività delle UO arruolate nello studio. La compliance complessiva per i tre dipartimenti è stata pari a circa il 92% (302 rispondenti su un campione di 329 medici.). Non si sono rilevate differenze significative sulla compliance per i tre dipartimenti considerati. L’elaborazione dei dati è stata effettuata mediante specifici software per l’analisi delle reti sociali, UCINET 6 per il calcolo degli indicatori relazionali (centralità, densità, structural holes etc.), e Pajek per l’analisi grafica dei network. L’ultima fase è stata realizzata con l’ausilio del software statistico STATA vers. 10. L’analisi dei risultati è distinta in due 2 fasi principali. In primis è stato descritto il network di relazioni professionali rilevate, sono stai calcolati i relativi indicatori di centralità relazionale e verificato il grado di sovrapposizione tra struttura formale dei dipartimenti in studio con le relazioni informali che si stabiliscono tra di essi nell’ambito clinico. Successivamente è stato analizzato l’impatto che le relazioni esercitano sulla propensione da parte dei singoli medici a utilizzare nuove evidenze scientifiche I primi risultati emersi dallo studio forniscono interessanti evidenze, con particolare riguardo al dato di un discreto grado di “sovrapposizione” tra struttura formale e informale delle unità organizzative in studio e a correlazioni significative tra fattori relazionali e attitudine dei medici verso l’utilizzo dell’approccio EBM. Altre evidenze, in specie la correlazione tra “centralità” degli attori organizzativi e alcuni indicatori di performance /appropriatezza, meritano ulteriori approfondimenti e una definitiva validazione. In conclusione lo studio dimostra che la prospettiva relazionale e la Sna consentono di porre in evidenza caratteristiche dei dipartimenti, dei suoi attori e delle loro reti di reciproche relazioni, in grado di favorire la comprensione di alcune dinamiche ricercate proprio attraverso l’organizzazione dipartimentale e quindi di specifico interesse per il management, i clinici e quanti altri impegnati nella gestione e nello sviluppo di questo modello di organizzazione dell’ospedale.

Die Rolle der Globalstrahlung im Klimasystem Südwestdeutschlands

Die Untersuchungen umfassen die Periode 1981 – 2000 und basieren hauptsächlich auf Daten des Deutschen Wetterdienstes (DWD). Relativwerte der Globalstrahlung beziehen sich auf die Rayleigh-Atmosphäre. Das Regressionsmodell nach Angström ermöglicht die Erweiterung des Meßnetzes. In linearer und nichtlinearer Regression und Korrelation ist die Globalstrahlung entweder abhängige (Sonnenscheindauer, Bewölkung) oder unabhängige Variable (Lufttemperatur, Bodentemperatur). Ihre Intensität in Abhängigkeit von Großwetterlagen, Großwettertypen und Luftmassen wird diskutiert. Diesbezüglich werden mit der Linearen Diskriminanzanalyse ähnliche Großwetterlagen und Stationen in signifikant unterschiedenen Gruppen zusammengefaßt, getrennt nach Sommer- und Winterhalbjahr. Abhängig von der Zeit betrachtet, enthalten Globalstrahlung, direkte und diffuse Sonnenstrahlung, Lufttemperatur, Bewölkung und Niederschlag signifikante zyklische Variationen, die gegebenenfalls klimatologisch relevant sind. Weiteren Aufschluß ergeben deshalb die Zeitreihenanalysen. Autokorrelation-Spektralanalysen (ASA) der genannten Variablen werden in integrierten Spektren dargestellt. Hinweise auf die zeitliche Konstanz signifikanter Varianzmaxima enthalten die Spektren der dynamischen (gleitenden) ASA.

Stato della salute orale in pazienti istituzionalizzati affetti da patologie neuropsichiatriche

Le patologie di pertinenza odontostomatologica in pazienti adulti istituzionalizzati affetti da disabilità neuropsichiatrica presentano un’alta prevalenza; scopo del presente lavoro è stato la valutazione della prevalenza di carie (DMFT, SIC) e lo stato di igiene orale (OHI-S) in un gruppo di 103 (72 maschi, 31 femmine, età media 51) pazienti degli Istituti del P.O. Corberi e della RSD Beato Papa Giovanni XIII di Limbiate (MB). E’ stato valutata la collaborazione alla visita con la scala di Frankl, si è definito lo stato funzionale del paziente, in base alla Classificazione Internazionale del Funzionamento, della Disabilità e della Salute (ICF) e si è valutata con un questionario la motivazione degli operatori sanitari a stili di salute orale. Lo studio ha evidenziato un DMFT medio pari a 16,14 e SIC pari a 23,8, valori non correlabili con l'età del soggetto. L’OHI-S medio è pari a 3,46, dato che si presenza correlato con il tempo intercorso dall’ultima visita odontoiatrica. Dal confronto con un gruppo di soggetti sani della stessa età risultano significativamente più elevati i valori della componente (M) e (F) del DMFT e di tutte le componenti dell’OHI-S. Il campione è stato diviso in due gruppi a seconda della loro pregressa collaborazione al trattamento odontoiatrico e sono stati confrontati i dati ricavati dalla checklist ICF. Il gruppo collaborante ha mostrato livelli di funzionalità superiori per quanto riguarda le capacità di osservare, parlare e l’assistenza personale. Dalle risposte del personale socio-sanitario ermerge scarsa informazione sulle tecniche di igiene orale domiciliare quotidiana del paziente assistito. I risultati di questo studio confermano l'alta prevalenza di carie e scarsa igiene orale in soggetti istituzionalizzati con disabilità neuropsichiatrica. L'ICF si è dimostrata una utile guida per la valutazione dell�approccio comportamentale più idoneo in fase di trattamento. Infine, si evidenzia l’importanza di una formazione continua degli operatori socio-sanitari.

Valutazione della qualità ed autenticità di prodotti oleari e lattiero caseari mediante metodi fisici di analisi accoppiati a tecniche statistiche multivariate

Questa tesi descrive alcuni studi di messa a punto di metodi di analisi fisici accoppiati con tecniche statistiche multivariate per valutare la qualità e l’autenticità di oli vegetali e prodotti caseari. L’applicazione di strumenti fisici permette di abbattere i costi ed i tempi necessari per le analisi classiche ed allo stesso tempo può fornire un insieme diverso di informazioni che possono riguardare tanto la qualità come l’autenticità di prodotti. Per il buon funzionamento di tali metodi è necessaria la costruzione di modelli statistici robusti che utilizzino set di dati correttamente raccolti e rappresentativi del campo di applicazione. In questo lavoro di tesi sono stati analizzati oli vegetali e alcune tipologie di formaggi (in particolare pecorini per due lavori di ricerca e Parmigiano-Reggiano per un altro). Sono stati utilizzati diversi strumenti di analisi (metodi fisici), in particolare la spettroscopia, l’analisi termica differenziale, il naso elettronico, oltre a metodiche separative tradizionali. I dati ottenuti dalle analisi sono stati trattati mediante diverse tecniche statistiche, soprattutto: minimi quadrati parziali; regressione lineare multipla ed analisi discriminante lineare.