963 resultados para latent tracks


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Model diagnostics is an integral part of model determination and an important part of the model diagnostics is residual analysis. We adapt and implement residuals considered in the literature for the probit, logistic and skew-probit links under binary regression. New latent residuals for the skew-probit link are proposed here. We have detected the presence of outliers using the residuals proposed here for different models in a simulated dataset and a real medical dataset.

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OBJECTIVE: To estimate the prevalences of tuberculosis and latent tuberculosis ill inmates. METHODS: Observational study was carried out with inmates of a prison and a jail in the State of Sao Paulo, Southeastern Brazil, between March and December of 2008. Questionnaires were used to collect sociodemographic and epidemiological data. Tuberculin skin testing was administered (PPD-RT23-2TU/0.1 mL), and the following laboratory tests were also performed: sputum smear examination, sputum culture, identification of strains isolated and drug susceptibility testing. The variables were compared using Pearson's chi-square (chi(2)) association test, Fisher's exact test and the proportion test. RESULTS: Of the 2,435 inmates interviewed, 2,237(91.9%) agreed to submit to tuberculin skin testing and of these, 73.0% had positive reactions. The prevalence of tuberculosis was 830.6 per 100,000 inmates. The coefficients of prevalence were 1,029.5/100,000 for inmates of the prison and 525.7/100,000 for inmates of the jail. The sociodemographic characteristics of the inmates in the two groups studied were similar; most of the inmates were young and single with little schooling. The epidemiological characteristics differed between the prison units, with the number of cases of previous tuberculosis and of previous contact with the disease greater in the prison and coughing, expectoration and smoking more common in the jail. Among the 20 Mycobacterium tuberculosis strains identified, 95.0% were sensitive to anti-tuberculosis drugs, and 5.0% were resistant to streptomycin. CONCLUSIONS: The prevalences of tuberculosis and latent tuberculosis were higher in the incarcerated population than in the general population, and they were also higher in the prison than in the jail.

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We propose a new general Bayesian latent class model for evaluation of the performance of multiple diagnostic tests in situations in which no gold standard test exists based on a computationally intensive approach. The modeling represents an interesting and suitable alternative to models with complex structures that involve the general case of several conditionally independent diagnostic tests, covariates, and strata with different disease prevalences. The technique of stratifying the population according to different disease prevalence rates does not add further marked complexity to the modeling, but it makes the model more flexible and interpretable. To illustrate the general model proposed, we evaluate the performance of six diagnostic screening tests for Chagas disease considering some epidemiological variables. Serology at the time of donation (negative, positive, inconclusive) was considered as a factor of stratification in the model. The general model with stratification of the population performed better in comparison with its concurrents without stratification. The group formed by the testing laboratory Biomanguinhos FIOCRUZ-kit (c-ELISA and rec-ELISA) is the best option in the confirmation process by presenting false-negative rate of 0.0002% from the serial scheme. We are 100% sure that the donor is healthy when these two tests have negative results and he is chagasic when they have positive results.

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Background: An important issue concerning the worldwide fight against stigma is the evaluation of psychiatrists’ beliefs and attitudes toward schizophrenia and mental illness in general. However, there is as yet no consensus on this matter in the literature, and results vary according to the stigma dimension assessed and to the cultural background of the sample. The aim of this investigation was to search for profiles of stigmatizing beliefs related to schizophrenia in a national sample of psychiatrists in Brazil. Methods: A sample of 1414 psychiatrists were recruited from among those attending the 2009 Brazilian Congress of Psychiatry. A questionnaire was applied in face-to-face interviews. The questionnaire addressed four stigma dimensions, all in reference to individuals with schizophrenia: stereotypes, restrictions, perceived prejudice and social distance. Stigma item scores were included in latent profile analyses; the resulting profiles were entered into multinomial logistic regression models with sociodemographics, in order to identify significant correlates. Results: Three profiles were identified. The “no stigma” subjects (n = 337) characterized individuals with schizophrenia in a positive light, disagreed with restrictions, and displayed a low level of social distance. The “unobtrusive stigma” subjects (n = 471) were significantly younger and displayed the lowest level of social distance, although most of them agreed with involuntary admission and demonstrated a high level of perceived prejudice. The “great stigma” subjects (n = 606) negatively stereotyped individuals with schizophrenia, agreed with restrictions and scored the highest on the perceived prejudice and social distance dimensions. In comparison with the first two profiles, this last profile comprised a significantly larger number of individuals who were in frequent contact with a family member suffering from a psychiatric disorder, as well as comprising more individuals who had no such family member. Conclusions: Our study not only provides additional data related to an under-researched area but also reveals that psychiatrists are a heterogeneous group regarding stigma toward schizophrenia. The presence of different stigma profiles should be evaluated in further studies; this could enable anti-stigma initiatives to be specifically designed to effectively target the stigmatizing group.

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The present work proposes a method based on CLV (Clustering around Latent Variables) for identifying groups of consumers in L-shape data. This kind of datastructure is very common in consumer studies where a panel of consumers is asked to assess the global liking of a certain number of products and then, preference scores are arranged in a two-way table Y. External information on both products (physicalchemical description or sensory attributes) and consumers (socio-demographic background, purchase behaviours or consumption habits) may be available in a row descriptor matrix X and in a column descriptor matrix Z respectively. The aim of this method is to automatically provide a consumer segmentation where all the three matrices play an active role in the classification, getting homogeneous groups from all points of view: preference, products and consumer characteristics. The proposed clustering method is illustrated on data from preference studies on food products: juices based on berry fruits and traditional cheeses from Trentino. The hedonic ratings given by the consumer panel on the products under study were explained with respect to the product chemical compounds, sensory evaluation and consumer socio-demographic information, purchase behaviour and consumption habits.

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Die Untersuchungen der murinen Cytomegalovirus (mCMV) Infektion im BALB/c Mausmodell konzentrierten sich bislang auf die Lunge, da diese einen Hauptort der mCMV Latenz darstellt. Da latentes CMV auch häufig durch Lebertransplantationen übertragen wird, wurde in dieser Arbeit die Leber als ein weiteres medizinisch relevantes Organ der CMV Latenz und Reaktivierung untersucht. Um zunächst die zellulären Orte der mCMV Latenz in der Leber zu ermitteln, wurden verschiedengeschlechtliche Knochenmarktransplantationen (KMT) mit männlichen tdy-positiven Spendern und weiblichen, tdy-negativen Empfängern, mit anschließender mCMV Infektion durchgeführt, um latent infizierte Mäuse mit geschlechtschromosomalem Chimärismus zu generieren. Diese Chimären erlaubten eine Unterscheidung zwischen tdy-positiven Zellen hämatopoetischen Ursprungs und tdy-negativen stromalen und parenchymalen Gewebszellen. Die Separation von Leberzellen der Chimären mittels zentrifugaler Elutriation und anschließender DNA Quantifizierung viraler und zellulärer Genome durch eine quantitative real-time PCR ergab einen ersten Hinweis, dass Endothelzellen ein zellulärer Ort der mCMV Latenz sind. Die darauf folgende immunomagnetische Zelltrennung lokalisierte latente virale DNA in der CD31-positiven Zellfraktion. Die Koexpression von CD31 mit dem endothelzellspezifischen Oberflächenmarker ME-9F1 identifizierte die sinusoidalen Endothelzellen der Leber (LSEC) als die Zellen, die latente virale DNA beherbergen. In den zytofluorometrisch aufgereinigten CD31+/ME-9F1+ LSEC waren bei gleichzeitigem Rückgang der männlichen tdy Markergene virale Genome angereichert, was darauf hinwies, dass Zellen, die virale DNA enthalten, vom Knochenmark-Empfänger stammen. Durch zytofluorometrische Analysen isolierter LSEC konnte eine vom Spender abstammende Subpopulation MHCII+/CD11b+ LSEC identifiziert werden. Anschließende Quantifizierungen viraler DNA aus latent infizierten Mäusen detektierten eine Abnahme viraler Genome mit zunehmender Menge an tdy-positiven Zellen, was beweist, dass MHCII+/CD11b+ LSEC keinen Ort der mCMV Latenz darstellen. Die limiting dilution Untersuchungen der isolierten latent infizierten LSEC ergaben eine Frequenz von einer latent infizierten Zelle unter ~1,9x104 LSEC und eine Anzahl von 7 bis 19 viralen Genomen pro latent infizierter Zelle. Nach 24 Stunden Kultivierung der LSEC konnte mittels quantitativer real-time RT-PCR mit Gesamt-RNA aus LSEC ein Anstieg der Genexpression der immediate early Gene ie1 und ie3 sowie eine Induktion des early Gens e1 gezeigt werden. Eine Erhöhung der transkriptionellen Reaktivierung durch die Inkubation der LSEC mit unterschiedlichen HDAC Inhibitoren konnte allerdings nicht erzielt werden, da sowohl die Menge der isolierten RNA aus behandelten Kulturen, als auch die Anzahl viraler Transkripte im Vergleich zu den unbehandelten Kulturen erniedrigt war. Aufgrund der kurzen Lebensdauer isolierter LSEC in vitro konnte durch Kokultivierungen latent infizierter LSEC zusammen mit murinen embryonalen Fibroblasten keine Virusreaktivierung induziert werden. Im Gegensatz dazu wurden durch den Transfer gereinigter ME-9F1+/CD31+ LSEC aus latent infizierten Spendern in immunsupprimierte Empfänger virale Rekurrenzen in Lungenexplantatkulturen des Rezipienten detektiert. Damit konnten LSEC eindeutig als zellulärer Ort von mCMV Latenz und Reaktivierung in der Leber identifiziert werden.

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Dealing with latent constructs (loaded by reflective and congeneric measures) cross-culturally compared means studying how these unobserved variables vary, and/or covary each other, after controlling for possibly disturbing cultural forces. This yields to the so-called ‘measurement invariance’ matter that refers to the extent to which data collected by the same multi-item measurement instrument (i.e., self-reported questionnaire of items underlying common latent constructs) are comparable across different cultural environments. As a matter of fact, it would be unthinkable exploring latent variables heterogeneity (e.g., latent means; latent levels of deviations from the means (i.e., latent variances), latent levels of shared variation from the respective means (i.e., latent covariances), levels of magnitude of structural path coefficients with regard to causal relations among latent variables) across different populations without controlling for cultural bias in the underlying measures. Furthermore, it would be unrealistic to assess this latter correction without using a framework that is able to take into account all these potential cultural biases across populations simultaneously. Since the real world ‘acts’ in a simultaneous way as well. As a consequence, I, as researcher, may want to control for cultural forces hypothesizing they are all acting at the same time throughout groups of comparison and therefore examining if they are inflating or suppressing my new estimations with hierarchical nested constraints on the original estimated parameters. Multi Sample Structural Equation Modeling-based Confirmatory Factor Analysis (MS-SEM-based CFA) still represents a dominant and flexible statistical framework to work out this potential cultural bias in a simultaneous way. With this dissertation I wanted to make an attempt to introduce new viewpoints on measurement invariance handled under covariance-based SEM framework by means of a consumer behavior modeling application on functional food choices.

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The aim of the thesis is to propose a Bayesian estimation through Markov chain Monte Carlo of multidimensional item response theory models for graded responses with complex structures and correlated traits. In particular, this work focuses on the multiunidimensional and the additive underlying latent structures, considering that the first one is widely used and represents a classical approach in multidimensional item response analysis, while the second one is able to reflect the complexity of real interactions between items and respondents. A simulation study is conducted to evaluate the parameter recovery for the proposed models under different conditions (sample size, test and subtest length, number of response categories, and correlation structure). The results show that the parameter recovery is particularly sensitive to the sample size, due to the model complexity and the high number of parameters to be estimated. For a sufficiently large sample size the parameters of the multiunidimensional and additive graded response models are well reproduced. The results are also affected by the trade-off between the number of items constituting the test and the number of item categories. An application of the proposed models on response data collected to investigate Romagna and San Marino residents' perceptions and attitudes towards the tourism industry is also presented.

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This thesis focuses on the role of B cells in mCMV and Leishmania major infection. B cells are an essential component of the adaptive immune system and play a key role in the humoral immune response. In mCMV infection we analyzed the influence of B cells on the virus-specific CD8 T cell response, in detail the role of B cells as IL-10 secreting cells, as source of immunoglobulin (Ig) and as antigen presenting cells. In Leishmania major infection we investigated the role of Ig in Th1 and Th2 directed disease.rnWe found in mCMV infection that the B cell secreted IL-10 suppresses effectively the acute virus-specific CD8 T cell response, while the IL-10 secreted by dendritic cell has no obvious effect. Ig has no effect in the acute virus-specific CD8 T cell response, but in memory response Ig is essential. If Ig is missing the CD8 T cell population remains high in memory response 135 days post infection. The complete absence of B cells dramatically reduces the acute virus-specific CD8 T cell response, while B cell reconstitution just partially rescues this dramatic reduction. A comparison of this reduction in a B cell free organism to an organism with depleted dendritic cells gave a similar result. To exclude a malfunction of the CD8 T cells in the B cell deficient mice, the decreased virus-specific CD8 T cell population was confirmed in a B cell depletion model. Further, bone marrow chimeras with a B cell compartment deficient for CD40-/- showed a decrease of the virus-specific response and an involvement of CD40 on B cells. Taken together these results suggest a role for B cells in antigen presentation during mCMV infection.rnFurther we took advantage of the altered mCMV specific CD8 T cell memory response in mice without Ig to investigate the memory inflation of CD8 T cells specific for distinct mCMV specifc peptides. Using a SIINFEKL-presenting virus system, we were able to shorten the time until the memory inflation occurs and show that direct presentation stimulates the memory inflation. rnIn Leishmania major infection, Ig of Th2 balanced BALB/c mice has a central role in preventing a systemic infection, although the ear lesions are smaller in IgMi mice without specific Ig. Here the parasite loads of ears and spleen are elevated, and an IMS-reconstitution does not affect the parasite load. In contrast in Th1 balanced C57BL/6 mice, reconstitution of IgMi mice with serum of either untreated or immunized mice decreased the parasite load of spleen and ear, further IMS treatment reduces the size of the spleen and the cytokine-levels of IL-10, IL-4, IL-2 and IFN-γ to a level comparable to wt mice. rn

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Apple latent infection caused by Neofabraea alba: host-pathogen interaction and disease management Bull’s eye rot (BER) caused by Neofabraea alba is one of the most frequent and damaging latent infection occurring in stored pome fruits worldwide. Fruit infection occurs in the orchard, but disease symptoms appear only 3 months after harvest, during refrigerated storage. In Italy BER is particularly serious for late harvest apple cultivar as ‘Pink Lady™’. The purposes of this thesis were: i) Evaluate the influence of ‘Pink Lady™’ apple primary metabolites in N. alba quiescence ii) Evaluate the influence of pH in five different apple cultivars on BER susceptibility iii) To find out not chemical method to control N. alba infection iv) Identify some fungal volatile compounds in order to use them as N. alba infections markers. Results regarding the role of primary metabolites showed that chlorogenic, quinic and malic acid inhibit N. alba development. The study based on the evaluation of cultivar susceptibility, showed that Granny Smith was the most resistant apple cultivar among the varieties analyzed. Moreover, Granny Smith showed the lowest pH value from harvest until the end of storage, supporting the thesis that ambient pH could be involved in the interaction between N. alba and apple. In order to find out new technologies able to improve lenticel rot management, the application of a non-destructive device for the determination of chlorophyll content was applied. Results showed that fruit with higher chlorophyll content are less susceptible to BER, and molecular analyses comforted this result. Fruits with higher chlorophyll content showed up-regulation of PGIP and HCT, genes involved in plant defence. Through the application of PTR-MS and SPME GC-MS, 25 volatile organic compounds emitted by N. alba were identified. Among them, 16 molecules were identified as potential biomarkers.

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An in-depth understanding of the different groups that make up the HIV-infected population should inform prevention and care. Using latent class analysis (LCA) we identified seven groups with similar socio-demographic and behavioral characteristics at enrolment in the Swiss HIV Cohort Study: older gay men, younger gay men, older heterosexual men, injection drug users, single migrants, migrant women in partnerships and heterosexual men and women. Outcomes of combination antiretroviral therapy (ART) were analyzed in 1,633 patients starting ART. Compared to older gay men, the probability of a virologic response to ART was reduced in single migrants, in older heterosexual men and in IDUs. Loss to follow-up was higher in single migrants and IDUs, and mortality was increased in older heterosexual men and IDUs. Socio-behavioral groups identified by LCA allow insights above what can be gleaned from traditional transmission groups, and may identify patients who could benefit from targeted interventions.

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Transforming growth factor-β1 (TGFβ1) is a short-lived immune suppressive and profibrotic protein. Its latent precursor is relatively stable and may even protect from fibrosis. Latent TGFβ1 is synthesized by various tissues including the liver and portal, hepatic, and systemic concentrations of latent TGFβ1 were determined in patients with liver cirrhosis and patients with normal liver function to find out whether circulating levels are affected by liver disease.

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Background Interferon-gamma release assays (IGRA) are more specific than the tuberculin skin test (TST) for the diagnosis of Mycobacterium tuberculosis infection. Data on sensitivity are controversial in HIV infection. Methods IGRA (T-SPOT.TB) was performed using lymphocytes stored within 6 months before culture-confirmed tuberculosis was diagnosed in HIV-infected individuals in the Swiss HIV Cohort Study. Results 64 individuals (69% males, 45% of non-white ethnicity, median age 35 years (interquartile range [IQR] 31-42), 28% with prior AIDS) were analysed. Median CD4 cell count was 223 cells/μl (IQR 103-339), HIV-RNA was 4.7 log10 copies/mL (IQR 4.3-5.2). T-SPOT.TB resulted positive in 25 patients (39%), negative in 18 (28%) and indeterminate in 21 (33%), corresponding to a sensitivity of 39% (95% CI 27-51%) if all test results were considered, and 58% (95% CI 43-74%) if indeterminate results were excluded. Sensitivity of IGRA was independent of CD4 cell count (p = 0.698). Among 44 individuals with available TST, 22 (50%) had a positive TST. Agreement between TST and IGRA was 57% (kappa = 0.14, p = 0.177), and in 34% (10/29) both tests were positive. Combining TST and IGRA (at least one test positive) resulted in an improved sensitivity of 67% (95% CI 52-81%). In multivariate analysis, older age was associated with negative results of TST and T-SPOT.TB (OR 3.07, 95% CI 1,22-7.74, p = 0.017, per 10 years older). Conclusions T-SPOT.TB and TST have similar sensitivity to detect latent TB in HIV-infected individuals. Combining TST and IGRA may help clinicians to better select HIV-infected individuals with latent tuberculosis who qualify for preventive treatment.