850 resultados para Prediction model


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Die Bor-Neuroneneinfang-Therapie (engl.: Boron Neutron Capture Therapy, BNCT) ist eine indirekte Strahlentherapie, welche durch die gezielte Freisetzung von dicht ionisierender Strahlung Tumorzellen zerstört. Die freigesetzten Ionen sind Spaltfragmente einer Kernreaktion, bei welcher das Isotop 10B ein niederenergetisches (thermisches) Neutron einfängt. Das 10B wird durch ein spezielles Borpräparat in den Tumorzellen angereichert, welches selbst nicht radioaktiv ist. rnAn der Johannes Gutenberg-Universität Mainz wurde die Forschung für die Anwendung eines klinischen Behandlungsprotokolls durch zwei Heilversuche bei Patienten mit kolorektalen Lebermetastasen an der Universität Pavia, Italien, angeregt, bei denen die Leber außerhalb des Körpers in einem Forschungsreaktor bestrahlt wurde. Als erster Schritt wurde in Kooperation verschiedener universitärer Institute eine klinische Studie zur Bestimmung klinisch relevanter Parameter wie der Borverteilung in verschiedenen Geweben und dem pharmakokinetischen Aufnahmeverhalten des Borpräparates initiiert.rnDie Borkonzentration in den Gewebeproben wurde hinsichtlich ihrer räumlichen Verteilung in verschiedenen Zellarealen bestimmt, um mehr über das Aufnahmeverhalten der Zellen für das BPA im Hinblick auf ihre biologischen Charakteristika zu erfahren. Die Borbestimung wurde per Quantitative Neutron Capture Radiography, Prompt Gamma Activation Analysis und Inductively Coupled Plasma Mass Spectroscopy parallel zur histologischen Analyse des Gewebes durchgeführt. Es war möglich zu zeigen, dass in Proben aus Tumorgewebe und aus tumorfreiem Gewebe mit unterschiedlichen morphologischen Eigenschaften eine sehr heterogene Borverteilung vorliegt. Die Ergebnisse der Blutproben werden für die Erstellung eines pharmakokinetischen Modells verwendet und sind in Übereinstimmung mit existierenden pharmakokinetische Modellen. Zusätzlich wurden die Methoden zur Borbestimmung über speziell hergestellte Referenzstandards untereinander verglichen. Dabei wurde eine gute Übereinstimmung der Ergebnisse festgestellt, ferner wurde für alle biologischen Proben Standardanalyseprotokolle erstellt.rnDie bisher erhaltenen Ergebnisse der klinischen Studie sind vielversprechend, lassen aber noch keine endgültigen Schlussfolgerungen hinsichtlich der Wirksamkeit von BNCT für maligne Lebererkrankungen zu. rn

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BACKGROUND: Individual adaptation of processed patient's blood volume (PBV) should reduce number and/or duration of autologous peripheral blood progenitor cell (PBPC) collections. STUDY DESIGN AND METHODS: The durations of leukapheresis procedures were adapted by means of an interim analysis of harvested CD34+ cells to obtain the intended yield of CD34+ within as few and/or short as possible leukapheresis procedures. Absolute efficiency (AE; CD34+/kg body weight) and relative efficiency (RE; total CD34+ yield of single apheresis/total number of preapheresis CD34+) were calculated, assuming an intraapheresis recruitment if RE was greater than 1, and a yield prediction models for adults was generated. RESULTS: A total of 196 adults required a total of 266 PBPC collections. The median AE was 7.99 x 10(6), and the median RE was 1.76. The prediction model for AE showed a satisfactory predictive value for preapheresis CD34+ only. The prediction model for RE also showed a low predictive value (R2 = 0.36). Twenty-eight children underwent 44 PBPC collections. The median AE was 12.13 x 10(6), and the median RE was 1.62. Major complications comprised bleeding episodes related to central venous catheters (n = 4) and severe thrombocytopenia of less than 10 x 10(9) per L (n = 16). CONCLUSION: A CD34+ interim analysis is a suitable tool for individual adaptation of the duration of leukapheresis. During leukapheresis, a substantial recruitment of CD34+ was observed, resulting in a RE of greater than 1 in more than 75 percent of patients. The upper limit of processed PBV showing an intraapheresis CD34+ recruitment is higher than in a standard large-volume leukapheresis. Therefore, a reduction of individually needed PBPC collections by means of a further escalation of the processed PBV seems possible.

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Recent research highlights the promise of remotely-sensed aerosol optical depth (AOD) as a proxy for ground-level PM2.5. Particular interest lies in the information on spatial heterogeneity potentially provided by AOD, with important application to estimating and monitoring pollution exposure for public health purposes. Given the temporal and spatio-temporal correlations reported between AOD and PM2.5 , it is tempting to interpret the spatial patterns in AOD as reflecting patterns in PM2.5 . Here we find only limited spatial associations of AOD from three satellite retrievals with PM2.5 over the eastern U.S. at the daily and yearly levels in 2004. We then use statistical modeling to show that the patterns in monthly average AOD poorly reflect patterns in PM2.5 because of systematic, spatially-correlated error in AOD as a proxy for PM2.5 . Furthermore, when we include AOD as a predictor of monthly PM2.5 in a statistical prediction model, AOD provides little additional information to improve predictions of PM2.5 when included in a model that already accounts for land use, emission sources, meteorology and regional variability. These results suggest caution in using spatial variation in AOD to stand in for spatial variation in ground-level PM2.5 in epidemiological analyses and indicate that when PM2.5 monitoring is available, careful statistical modeling outperforms the use of AOD.

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Metals price risk management is a key issue related to financial risk in metal markets because of uncertainty of commodity price fluctuation, exchange rate, interest rate changes and huge price risk either to metals’ producers or consumers. Thus, it has been taken into account by all participants in metal markets including metals’ producers, consumers, merchants, banks, investment funds, speculators, traders and so on. Managing price risk provides stable income for both metals’ producers and consumers, so it increases the chance that a firm will invest in attractive projects. The purpose of this research is to evaluate risk management strategies in the copper market. The main tools and strategies of price risk management are hedging and other derivatives such as futures contracts, swaps and options contracts. Hedging is a transaction designed to reduce or eliminate price risk. Derivatives are financial instruments, whose returns are derived from other financial instruments and they are commonly used for managing financial risks. Although derivatives have been around in some form for centuries, their growth has accelerated rapidly during the last 20 years. Nowadays, they are widely used by financial institutions, corporations, professional investors, and individuals. This project is focused on the over-the-counter (OTC) market and its products such as exotic options, particularly Asian options. The first part of the project is a description of basic derivatives and risk management strategies. In addition, this part discusses basic concepts of spot and futures (forward) markets, benefits and costs of risk management and risks and rewards of positions in the derivative markets. The second part considers valuations of commodity derivatives. In this part, the options pricing model DerivaGem is applied to Asian call and put options on London Metal Exchange (LME) copper because it is important to understand how Asian options are valued and to compare theoretical values of the options with their market observed values. Predicting future trends of copper prices is important and would be essential to manage market price risk successfully. Therefore, the third part is a discussion about econometric commodity models. Based on this literature review, the fourth part of the project reports the construction and testing of an econometric model designed to forecast the monthly average price of copper on the LME. More specifically, this part aims at showing how LME copper prices can be explained by means of a simultaneous equation structural model (two-stage least squares regression) connecting supply and demand variables. A simultaneous econometric model for the copper industry is built: {█(Q_t^D=e^((-5.0485))∙P_((t-1))^((-0.1868) )∙〖GDP〗_t^((1.7151) )∙e^((0.0158)∙〖IP〗_t ) @Q_t^S=e^((-3.0785))∙P_((t-1))^((0.5960))∙T_t^((0.1408))∙P_(OIL(t))^((-0.1559))∙〖USDI〗_t^((1.2432))∙〖LIBOR〗_((t-6))^((-0.0561))@Q_t^D=Q_t^S )┤ P_((t-1))^CU=e^((-2.5165))∙〖GDP〗_t^((2.1910))∙e^((0.0202)∙〖IP〗_t )∙T_t^((-0.1799))∙P_(OIL(t))^((0.1991))∙〖USDI〗_t^((-1.5881))∙〖LIBOR〗_((t-6))^((0.0717) Where, Q_t^D and Q_t^Sare world demand for and supply of copper at time t respectively. P(t-1) is the lagged price of copper, which is the focus of the analysis in this part. GDPt is world gross domestic product at time t, which represents aggregate economic activity. In addition, industrial production should be considered here, so the global industrial production growth that is noted as IPt is included in the model. Tt is the time variable, which is a useful proxy for technological change. A proxy variable for the cost of energy in producing copper is the price of oil at time t, which is noted as POIL(t ) . USDIt is the U.S. dollar index variable at time t, which is an important variable for explaining the copper supply and copper prices. At last, LIBOR(t-6) is the 6-month lagged 1-year London Inter bank offering rate of interest. Although, the model can be applicable for different base metals' industries, the omitted exogenous variables such as the price of substitute or a combined variable related to the price of substitutes have not been considered in this study. Based on this econometric model and using a Monte-Carlo simulation analysis, the probabilities that the monthly average copper prices in 2006 and 2007 will be greater than specific strike price of an option are defined. The final part evaluates risk management strategies including options strategies, metal swaps and simple options in relation to the simulation results. The basic options strategies such as bull spreads, bear spreads and butterfly spreads, which are created by using both call and put options in 2006 and 2007 are evaluated. Consequently, each risk management strategy in 2006 and 2007 is analyzed based on the day of data and the price prediction model. As a result, applications stemming from this project include valuing Asian options, developing a copper price prediction model, forecasting and planning, and decision making for price risk management in the copper market.

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PURPOSE: The goal of this study was to analyse a possible association of admission blood glucose with hospital mortality of polytraumatised patients and to develop an outcome prediction model for this patient group. METHODS: The outcome of adult polytraumatised patients admitted to the University Hospital of Berne, Switzerland, between 2002 and 2004 with an ISS > or = 17, and more than one severely injured organ system was retrospectively analysed. RESULTS: The inclusion criteria were met by 555 patients, of which 108 (19.5%) died. Hyperglycaemia proved to be an independent predictor for hospital mortality (P < 0.0001), following multiple regression analysis. After inclusion of admission blood glucose, the calculated mortality prediction model performed better than currently described models (P < 0.0001, AUC 0.924). CONCLUSION: In this retrospective, single-centre study in polytraumatised patients, admission blood glucose proved to be an independent predictor of hospital mortality following regression analysis controlling for age, gender, injury severity and other laboratory parameters. A reliable admission blood glucose-based mortality prediction model for polytraumatised patients could be established. This observation may be helpful in improving the precision of future outcome prediction models for polytraumatised patients. These observations warrant further prospective evaluation.

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AIM To identify novel variants associated with anthracycline-induced cardiotoxicity and to assess these in a genotype-guided risk prediction model. PATIENTS & METHODS Two cohorts treated for childhood cancer (n = 344 and 218, respectively) were genotyped for 4578 SNPs in drug ADME and toxicity genes. RESULTS Significant associations were identified in SLC22A17 (rs4982753; p = 0.0078) and SLC22A7 (rs4149178; p = 0.0034), with replication in the second cohort (p = 0.0071 and 0.047, respectively). Additional evidence was found for SULT2B1 and several genes related to oxidative stress. Adding the SLC22 variants to the prediction model improved its discriminative ability (AUC 0.78 vs 0.75 [p = 0.029]). CONCLUSION Two novel variants in SLC22A17 and SLC22A7 were significantly associated with anthracycline-induced cardiotoxicity and improved a genotype-guided risk prediction model, which could improve patient risk stratification.

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Objective The validity of current ultra-high risk (UHR) criteria is under-examined in help-seeking minors, particularly, in children below the age of 12 years. Thus, the present study investigated predictors of one-year outcome in children and adolescents (CAD) with UHR status. Method Thirty-five children and adolescents (age 9–17 years) meeting UHR criteria according to the Structured Interview for Psychosis-Risk Syndromes were followed-up for 12 months. Regression analyses were employed to detect baseline predictors of conversion to psychosis and of outcome of non-converters (remission and persistence of UHR versus conversion). Results At one-year follow-up, 20% of patients had developed schizophrenia, 25.7% had remitted from their UHR status that, consequently, had persisted in 54.3%. No patient had fully remitted from mental disorders, even if UHR status was not maintained. Conversion was best predicted by any transient psychotic symptom and a disorganized communication score. No prediction model for outcome beyond conversion was identified. Conclusions Our findings provide the first evidence for the predictive utility of UHR criteria in CAD in terms of brief intermittent psychotic symptoms (BIPS) when accompanied by signs of cognitive impairment, i.e. disorganized communication. However, because attenuated psychotic symptoms (APS) related to thought content and perception were indicative of non-conversion at 1-year follow-up, their use in early detection of psychosis in CAD needs further study. Overall, the need for more in-depth studies into developmental peculiarities in the early detection and treatment of psychoses with an onset of illness in childhood and early adolescence was further highlighted.

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CONTEXT Hyperthyroidism is an established risk factor for atrial fibrillation (AF), but information concerning the association with variations within the normal range of thyroid function and subgroups at risk is lacking. OBJECTIVE This study aimed to investigate the association between normal thyroid function and AF prospectively and explore potential differential risk patterns. DESIGN, SETTING, AND PARTICIPANTS From the Rotterdam Study we included 9166 participants ≥ 45 y with TSH and/or free T4 (FT4) measurements and AF assessment (1997-2012 median followup, 6.8 y), with 399 prevalent and 403 incident AF cases. MAIN OUTCOME MEASURES Outcome measures were 3-fold: 1) hazard ratios (HRs) for the risk of incident AF by Cox proportional-hazards models, 2) 10-year absolute risks taking competing risk of death into account, and 3) discrimination ability of adding FT4 to the CHARGE-AF simple model, an established prediction model for AF. RESULTS Higher FT4 levels were associated with higher risks of AF (HR 1.63, 95% confidence interval, 1.19-2.22), when comparing those in the highest quartile to those in lowest quartile. Absolute 10-year risks increased with higher FT4 in participants ≤ 65 y from 1-9% and from 6-12% in subjects ≥ 65 y. Discrimination of the prediction model improved when adding FT4 to the simple model (c-statistic, 0.722 vs 0.729; P = .039). TSH levels were not associated with AF. CONCLUSIONS There is an increased risk of AF with higher FT4 levels within the normal range, especially in younger subjects. Adding FT4 to the simple model slightly improved discrimination of risk prediction.

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Background and purpose: Breast cancer continues to be a health problem for women, representing 28 percent of all female cancers and remaining one of the leading causes of death for women. Breast cancer incidence rates become substantial before the age of 50. After menopause, breast cancer incidence rates continue to increase with age creating a long-lasting source of concern (Harris et al., 1992). Mammography, a technique for the detection of breast tumors in their nonpalpable stage when they are most curable, has taken on considerable importance as a public health measure. The lifetime risk of breast cancer is approximately 1 in 9 and occurs over many decades. Recommendations are that screening be periodic in order to detect cancer at early stages. These recommendations, largely, are not followed. Not only are most women not getting regular mammograms, but this circumstance is particularly the case among older women where regular mammography has been proven to reduce mortality by approximately 30 percent. The purpose of this project was to increase our understanding of factors that are associated with stage of readiness to obtain subsequent mammograms. A secondary purpose of this research was to suggest further conceptual considerations toward the extension of the Transtheoretical Model (TTM) of behavior change to repeat screening mammography. ^ Methods. A sample (n = 1,222) of women 50 years and older in a large multi-specialty clinic in Houston, Texas was surveyed by mail questionnaire regarding their previous screening experience and stage of readiness to obtain repeat screening. A computerized database, maintained on all women who undergo mammography at the clinic, was used to identify women who are eligible for the project. The major statistical technique employed to select the significant variables and to examine the man and interaction effects of independent variables on dependent variables was polychotomous stepwise, logistic regression. A prediction model for each stage of readiness definition was estimated. The expected probabilities for stage of readiness were calculated to assess the magnitude and direction of significant predictors. ^ Results. Analysis showed that both ways of defining stage of readiness for obtaining a screening mammogram were associated with specific constructs, including decisional balance and processes of the change. ^ Conclusions. The results of the present study demonstrate that the TTM appears to translate to repeat mammography screening. Findings in the current study also support finding of previous studies that suggest that stage of readiness is associated with respondent decisional balance and the processes of change. ^

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Significant numbers of U.S. commercial bank failures in the late 1980s and early 1990s raise important questions about bank performance. We develop a failure-prediction model for Connecticut banks to examine events in 1991 and 1992. We adopt data envelopment analysis to derive measures of managerial efficiency. Our findings can be briefly stated. Managerial inefficiency does not provide significant information to explain Connecticut bank failures. Portfolio variables do generally contain significant information.

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Maximizing data quality may be especially difficult in trauma-related clinical research. Strategies are needed to improve data quality and assess the impact of data quality on clinical predictive models. This study had two objectives. The first was to compare missing data between two multi-center trauma transfusion studies: a retrospective study (RS) using medical chart data with minimal data quality review and the PRospective Observational Multi-center Major Trauma Transfusion (PROMMTT) study with standardized quality assurance. The second objective was to assess the impact of missing data on clinical prediction algorithms by evaluating blood transfusion prediction models using PROMMTT data. RS (2005-06) and PROMMTT (2009-10) investigated trauma patients receiving ≥ 1 unit of red blood cells (RBC) from ten Level I trauma centers. Missing data were compared for 33 variables collected in both studies using mixed effects logistic regression (including random intercepts for study site). Massive transfusion (MT) patients received ≥ 10 RBC units within 24h of admission. Correct classification percentages for three MT prediction models were evaluated using complete case analysis and multiple imputation based on the multivariate normal distribution. A sensitivity analysis for missing data was conducted to estimate the upper and lower bounds of correct classification using assumptions about missing data under best and worst case scenarios. Most variables (17/33=52%) had <1% missing data in RS and PROMMTT. Of the remaining variables, 50% demonstrated less missingness in PROMMTT, 25% had less missingness in RS, and 25% were similar between studies. Missing percentages for MT prediction variables in PROMMTT ranged from 2.2% (heart rate) to 45% (respiratory rate). For variables missing >1%, study site was associated with missingness (all p≤0.021). Survival time predicted missingness for 50% of RS and 60% of PROMMTT variables. MT models complete case proportions ranged from 41% to 88%. Complete case analysis and multiple imputation demonstrated similar correct classification results. Sensitivity analysis upper-lower bound ranges for the three MT models were 59-63%, 36-46%, and 46-58%. Prospective collection of ten-fold more variables with data quality assurance reduced overall missing data. Study site and patient survival were associated with missingness, suggesting that data were not missing completely at random, and complete case analysis may lead to biased results. Evaluating clinical prediction model accuracy may be misleading in the presence of missing data, especially with many predictor variables. The proposed sensitivity analysis estimating correct classification under upper (best case scenario)/lower (worst case scenario) bounds may be more informative than multiple imputation, which provided results similar to complete case analysis.^

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La consistencia del trazado puede interpretarse como la relación entre las características geométricas de una carretera y lo que espera encontrar el conductor que circula por ella. Si hay una correspondencia entre estos dos aspectos, la conducción puede hacerse de modo continuo, sin sobresaltos, lo que incide favorablemente sobre la seguridad en la circulación. Si bien hay una serie de recomendaciones desde el punto de vista geométrico para obtener trazados consistentes, esto no siempre se logra, y sólo en los últimos años se ha iniciado el estudio de metodologías para evaluar ésto, tanto en vías existentes como en vías proyectadas. La mayor parte de estas metodologías sólo considera el trazado en planta, olvidándose del trazado en alzado y de la coordinación entre los mismos. En esta Tesis doctoral se ha desarrollado una metodología para evaluar la consistencia del trazado en carreteras interurbanas de dos carriles que considera dichos aspectos. Para ello, se hizo un análisis exhaustivo de los índices de trazado, los cuales evalúan las características geométricas en planta y en alzado. Los índices se correlacionaron con la accidentalidad, para determinar cuál de ellos tiene mayor incidencia, encontrándose que es el cambio de curvatura vertical (VCCR); a este índice se le estableció un rango de calificación. Como elemento de evaluación complementario de análisis se seleccionó el perfil de velocidades de operación, procedimiento que ha sido probado en diferentes investigaciones, y del cual se desarrolló un modelo aplicado a Colombia. Para la coordinación de trazados en planta y alzado se evaluaron diferentes combinaciones geométricas, algunas de las cuales generaron reapariciones del trazado. Se ha definido un nuevo índice (Irt) que permite determinar numéricamente la posibilidad de que se presente esta situación, indeseable desde el punto de vista de la seguridad vial. La combinación de estos tres elementos permite una evaluación integral de los diferentes aspectos que inciden sobre la consistencia del trazado de una carretera. La metodología desarrollada se aplicó en el estudio de consistencia del trazado en algunas carreteras españolas y colombianas, ubicadas en distintos tipos de terreno. ABSTRACT Geometric Design Consistency can be defined as the relationship between the geometric characteristics of a road and what the driver expects to find when driving. If there is a correspondence between these two aspects, driving is smoother and unexpected events are minimized, which increases traffic safety conditions. Although from the geometric point of view there are several recommendations to ensure consistent designs, this is not always successfully applied. The study of methods to evaluate design consistency in existing and future routes has only begun in recent years. Most existing methods only consider the horizontal alignment of the road and overlook both the vertical alignment and the coordination that must exist between the vertical and the horizontal. The present Doctoral Thesis proposes a method to evaluate the geometric design consistency of a two-lane rural highway which considers all three of these aspects: the horizontal alignment, the vertical alignment and the coordination that must exist between them. In order to achieve this, several different alignment indices, that evaluate horizontal and vertical geometric characteristics, were thoroughly analyzed to determine their correlation with traffic accidents. The Vertical Curvature Change Rate (VCCR) index showed the highest correlation, and rating thresholds for this index have been established. To complement the evaluation, the operating speed profile, was chosen. This procedure has been extensively tested by several researchers. An operating speed prediction model adapted to Colombia was developed. To study the coordination between the horizontal and the vertical alignments of the road, several geometric combinations of the two were used. Some of these combinations generate undesirable losses of visibility. For this reason, a new index (Irt) was defined to numerically detect those cases, which are undesirable from the point of view of traffic safety. The combination of these three factors allows a comprehensive evaluation of the different aspects that affect the geometric design consistency of a highway. The methodology was applied to some Spanish and Colombian roads located in different types of terrain.

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The traditional ballast track structures are still being used in high speed railways lines with success, however technical problems or performance features have led to non-ballast track solution in some cases. A considerable maintenance work is needed for ballasted tracks due to the track deterioration. Therefore it is very important to understand the mechanism of track deterioration and to predict the track settlement or track irregularity growth rate in order to reduce track maintenance costs and enable new track structures to be designed. The objective of this work is to develop the most adequate and efficient models for calculation of dynamic traffic load effects on railways track infrastructure, and then evaluate the dynamic effect on the ballast track settlement, using a ballast track settlement prediction model, which consists of the vehicle/track dynamic model previously selected and a track settlement law. The calculations are based on dynamic finite element models with direct time integration, contact between wheel and rail and interaction with railway cars. A initial irregularity profile is used in the prediction model. The track settlement law is considered to be a function of number of loading cycles and the magnitude of the loading, which represents the long-term behavior of ballast settlement. The results obtained include the track irregularity growth and the contact force in the final interaction of numerical simulation

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Monilinia spp. (M. laxa, M. fructigena y M. fructicola) causa marchitez en brotes y flores, chancros en ramas y podredumbre de la fruta de hueso provocando pérdidas económicas importantes en años con climatología favorable para el desarrollo de la enfermedad, particularmente en variedades tardías de melocotonero y nectarino. En estos huéspedes en España, hasta el momento, la especie predominante es M. laxa y, en menor proporción, M. fructigena. La reciente introducción en Europa de la especie de cuarentena M. fructicola hace necesaria una detección e identificación rápida de cada una de las especies. Además, hay diversos aspectos de la etiología y epidemiología de la enfermedad que no se conocen en las condiciones de cultivo españolas. En un primer objetivo de esta Tesis se ha abordado la detección e identificación de las especies de Monilinia spp. causantes de podredumbre parda. El estudio de las bases epidemiológicas para el control de la enfermedad constituye el fin del segundo objetivo. Para la detección del género Monilinia en material vegetal por PCR, diferenciándolo de otros hongos presentes en la superficie del melocotonero, se diseñaron una pareja de cebadores siguiendo un análisis del ADN ribosomal. La discriminación entre especies de Monilinia se consiguió utilizando marcadores SCAR (región amplificada de secuencia caracterizada), obtenidos después de un estudio de marcadores polimórficos de ADN amplificados al azar (RAPDs). También fue diseñado un control interno de amplificación (CI) basado en la utilización de un plásmido con secuencias de los cebadores diferenciadores del género, para ser utilizado en el protocolo de diagnóstico de la podredumbre parda con el fin de reconocer falsos negativos debidos a la inhibición de PCR por componentes celulares del material vegetal. Se disponía de un kit comercial que permitía distinguir Monilinia de otros géneros y M. fructicola del resto de especies mediante anticuerpos monoclonales utilizando la técnica DAS-ELISA. En esta Tesis se probaron diferentes fuentes de material como micelio ó conidias procedentes de cultivos en APD, o el micelio de la superficie de frutas o de momias frescas, como formas de antígeno. Los resultados obtenidos con ELISA se compararon con la identificación por métodos morfológico-culturales y por PCR con los cebadores desarrollados en esta Tesis. Los resultados demostraron la posibilidad de una detección temprana en frutas frescas por este método, realzando las posibilidades de una diagnosis temprana para una prevención más eficaz de M. fructicola en fruta de hueso. El estudio epidemiológico de la enfermedad comenzó con la determinación de las principales fuentes de inóculo primario y su importancia relativa en melocotoneros y nectarinos del valle del Ebro. Para ello se muestrearon 9 huertos durante los años 2003 a 2005 recogiendo todas las momias, frutos abortados, gomas, chancros, y brotes necróticos en los árboles. También se recogieron brotes aparentemente sanos y muestras de material vegetal situados en el suelo. En estas muestras se determinó la presencia de Monilinia spp. Los resultados mostraron que la fuente principal de inóculo son las momias que se quedan en los árboles en las que la supervivencia del hongo tras el invierno es muy alta. También son fuentes de inóculo las momias del suelo y los brotes necróticos. De aquí se deriva que una recomendación importante para los agricultores es que deben eliminar este material de los huertos. Un aspecto no estudiado en melocotonero o nectarino en España es la posible relación que puede darse entre la incidencia de infecciones latentes en los frutos inmaduros a lo largo del cultivo y la incidencia de podredumbre en los frutos en el momento de la recolección y en postcosecha. Esta relación se había observado previamente en otros frutales de hueso infectados con M. fructicola en diversos países del mundo. Para estudiar esta relación se realizaron ensayos en cinco huertos comerciales de melocotonero y nectarino situados en el Valle del Ebro en cuatro estados fenológicos durante los años 2000-2002. No se observaron infecciones latentes en botón rosa, dándose la máxima incidencia en precosecha, aunque en algunos huertos se daba otro pico en el endurecimiento del embrión. La especie prevaleciente fue M. laxa. Se obtuvo una correlación positiva significativa entre la incidencia de infecciones latentes y la incidencia de podredumbre en postcosecha. Se desarrolló también un modelo de predicción de las infecciones latentes en función de la temperatura (T) y el periodo de humectación (W). Este modelo indicaba que T y W explicaban el 83% de la variación en la incidencia de infecciones latentes causadas por Monilinia spp. Por debajo de 8ºC no se predecían latentes, necesitándose más de 22h de W para predecir la ocurrencia de latentes con T = 8ºC, mientras que solo se necesitaban 5h de W a 25ºC. Se hicieron también ensayos en condiciones controladas para determinar la relación entre la incidencia de las infecciones latentes, las condiciones ambientales (T y W), la concentración de inóculo del patógeno (I) y el estado de desarrollo del huésped (S) y para validar el modelo de predicción desarrollado con los experimentos de campo. Estos ensayos se llevaron cabo con flores y frutos de nectarino procedentes de un huerto comercial en seis estados fenológicos en los años 2004 y 2005, demostrándose que la incidencia de podredumbre en postcosecha y de infecciones latentes estaba afectada por T, W, I y S. En los frutos se producían infecciones latentes cuando la T no era adecuada para el desarrollo de podredumbre. Una vez desarrollado el embrión eran necesarias más de 4-5h de W al día y un inóculo superior a 104 conidias ml-1 para que se desarrollase o podredumbre o infección latente. La ecuación del modelo obtenido con los datos de campo era capaz de predecir los datos observados en estos experimentos. Para evaluar el efecto del inóculo de Monilinia spp. en la incidencia de infecciones latentes y de podredumbre de frutos en postcosecha se hicieron 11 experimentos en huertos comerciales de melocotonero y nectarino del Valle del Ebro durante 2002 a 2005. Se observó una correlación positiva entre los números de conidias de Monilinia spp. en la superficie de los frutos y la incidencia de infecciones latentes De los estudios anteriores se deducen otras dos recomendaciones importantes para los agricultores: las estrategias de control deben tener en cuenta las infecciones latentes y estimar el riesgo potencial de las mismas basándose en la T y W. Deben tener también en cuenta la concentración de esporas de Monilinia spp. en la superficie de los frutos para disminuir el riesgo de podredumbre parda. El conocimiento de la estructura poblacional de los patógenos sienta las bases para establecer métodos más eficaces de manejo de las enfermedades. Por ello en esta Tesis se ha estudiado el grado de diversidad genética entre distintas poblaciones de M. laxa en diferentes localidades españolas utilizando 144 marcadores RAPDs (59 polimórficos y 85 monomórficos) y 21 aislados. El análisis de la estructura de la población reveló que la diversidad genética dentro de las subpoblaciones (huertos) (HS) representaba el 97% de la diversidad genética (HT), mientras que la diversidad genética entre subpoblaciones (DST) sólo representaba un 3% del total de esta diversidad. La magnitud relativa de la diferenciación génica entre subpoblaciones (GST) alcanzaba 0,032 y el número estimado de migrantes por generación (Nm) fue de 15,1. Los resultados obtenidos en los dendrogramas estaban de acuerdo con el análisis de diversidad génica. Las agrupaciones obtenidas eran independientes del huerto de procedencia, año o huésped. En la Tesis se discute la importancia relativa de las diferentes fuentes evolutivas en las poblaciones de M. laxa. Finalmente se realizó un muestreo en distintos huertos de melocotonero y nectarino del Valle del Ebro para determinar la existencia o no de aislados resistentes a los fungicidas del grupo de los benzimidazoles y las dicarboximidas, fungicidas utilizados habitualmente para el control de la podredumbre parda y con alto riesgo de desarrollar resistencia en las poblaciones patógenas. El análisis de 114 aislados de M. laxa con los fungicidas Benomilo (bencimidazol) (1Bg m.a ml-1), e Iprodiona (dicarboximida) (5Bg m.a ml-1), mostró que ninguno era resistente en las dosis ensayadas. Monilinia spp. (M. laxa, M. fructigena and M. fructicola) cause bud and flower wilt, canker in branches and stone fruit rot giving rise important economic losses in years with appropriate environmental conditions, it is particularly important in late varieties of peach and nectarine. Right now, M. laxa is the major species for peach and nectarine in Spain followed by M. fructigena, in a smaller proportion. The recent introduction of the quarantine organism M. fructicola in Europe makes detection and identification of each one of the species necessary. In addition, there are different aspects of disease etiology and epidemiology that are not well known in Spain conditions. The first goal of this Thesis was the detection and identification of Monilinia spp. causing brown rot. Study of the epidemiology basis for disease control was the second objective. A pair of primers for PCR detection was designed based on the ribosomal DNA sequence in order to detect Monilinia spp. in plant material and to discriminate it from other fungi colonizing peach tree surface. Discrimination among Monilinia spp. was successful by SCAR markers (Sequence Characterized Amplified Region), obtained after a random amplified polymorphic DNA markers (RAPDs) study. An internal control for the PCR (CI) based on the use of a mimic plasmid designed on the primers specific for Monilinia was constructed to be used in diagnosis protocol for brown rot in order to avoid false negatives due to the inhibition of PCR as consequence of remained plant material. A commercial kit based on DAS-ELISA and monoclonals antibodies was successfully tested to distinguish Monilinia from other fungus genera and M. fructicola from other Monilinia species. Different materials such as micelium or conidias from APD cultures, or micelium from fresh fruit surfaces or mummies were tested in this Thesis, as antigens. Results obtained by ELISA were compared to classical identification by morphologic methods and PCR with the primers developed in this Thesis. Results demonstrated the possibility of an early detection in fresh fruits by this method for a more effective prevention of M. fructicola in stone fruit. The epidemiology study of the disease started with the determination of the main sources of primary inoculum and its relative importance in peach trees and nectarines in the Ebro valley. Nine orchards were evaluated during years 2003 to 2005 collecting all mummies, aborted fruits, rubbers, cankers, and necrotic buds from the trees. Apparently healthy buds and plant material located in the ground were also collected. In these samples presence of Monilinia spp. was determined. Results showed that the main inoculum sources are mummies that stay in the trees and where fungus survival after the winter is very high. Mummies on the ground and the necrotics buds are also sources of inoculum. As consequence of this an important recommendation for the growers is the removal of this material of the orchards. An important issue not well studied in peach or nectarine in Spain is the possible relationship between the incidence of latent infections in the immature fruits and the incidence of fruit rot at harvesting and postharvesting. This relationship had been previously shown in other stone fruit trees infected with M. fructicola in different countries over the world. In order to study this relationship experiments were run in five commercial peach and nectarine orchards located in the Ebro Valley in four phenologic states from 2000 to 2002. Latent infections were not observed in pink button, the maxima incidence arise in preharvest, although in some orchards another increase occurred in the embryo hardening. The most prevalence species was M. laxa. A significant positive correlation between the incidence of latent infections and the incidence of rot in postharvest was obtained. A prediction model of the latent infections based on the temperature (T) and the wetness duration (W) was also developed. This model showed that T and W explained 83% of the variation in latent infection incidence caused by Monilinia spp. Below 8ºC latent infection was not predicted, more than 22h of W with T = 8ºC were needed to predict latent infection occurrence of, whereas at 25ºC just 5h of W were enough. Tests under controlled conditions were also made to determine the relationship among latent infections incidence, environmental conditions (T and W), inoculum concentration of the pathogen (I) and development state of the host (S) to validate the prediction model developed on the field experiments. These tests were made with flowers and fruits of nectarine coming from a commercial orchard, in six phenologic states in 2004 and 2005, showing that incidence of rot in postharvest and latent infections were affected by T, W, I and S. In fruits latent infections took place when the T was not suitable for rot development. Once developed the embryo, more than 4-5h of W per day and higher inoculums (104 conidia ml-1) were necessary for rot or latent infection development. The equation of the model obtained with the field data was able to predict the data observed in these experiments. In order to evaluate the effect of inoculum of Monilinia spp. in the incidence of latent infections and of rot of fruits in postharvest, 11 experiments in commercial orchards of peach and nectarine of the Ebro Valley were performed from 2002 to 2005. A positive correlation between the conidial numbers of Monilinia spp. in the surface of the fruits and the incidence of latent infections was observed. Based on those studies other two important recommendations for the agriculturists are deduced: control strategies must consider the latent infections and potential risk based on the T and W. Spores concentration of Monilinia spp. in the surface of fruits must be also taken in concern to reduce the brown rot risk. The knowledge of the population structure of the pathogens determines the bases to establish more effective methods of diseases handling. For that reason in this Thesis the degree of genetic diversity among different M. laxa populations has been studied in different Spanish locations using 144 RAPDs markers (59 polymorphic and 85 monomorphics) on 21 fungal isolates. The analysis of the structure of the population revealed that the genetic diversity within the subpopulations (orchards) (HS) represented 97% of the genetic diversity (HT), whereas the genetic diversity between subpopulations (DST) only represented a 3% of the total of this diversity. The relative magnitude of the genic differentiation between subpopulations (GST) reached 0.032 and the considered number of migrantes by generation (Nm) was of 15.1. The results obtained in dendrograms were in agreement with the analysis of genic diversity. The obtained groupings were independent of the orchard of origin, year or host. In the Thesis the relative importance of the different evolutionary sources in the populations from M. laxa is discussed. Finally a sampling of resistant isolates in different orchards from peach and nectarine of Ebro Valley was made to determine the existence of fungicide resistance of the group of benzimidazoles and the dicarboximidas, fungicides used habitually for the control of rot brown and with high risk of resistance developing in the pathogenic populations. The analysis of 114 isolated ones of M. laxa with the fungicides Benomilo (bencimidazol) (1Bg m.a ml-1), and Iprodiona (dicarboximida) (5Bg m.a ml-1), showed no resistant in the doses evaluated.

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La vía tradicional sobre balasto sigue siendo una selección para las líneas de alta velocidad a pesar de los problemas técnicos y la prestación del funcionamiento. El problema de la vía sobre balasto es el proceso continuo del deterioro de éste debido a las cargas asociadas al tráfico ferroviario. En consecuencia es imprescindible un mantenimiento continuado para mantener un alineamiento adecuado de la vía. Por eso se surge la necesidad de comprender mejor el mecanismo involucrado en el deterioro de la vía y los factores claves que rigen su progresión a lo largo de ciclos de carga con el fin de reducir los costos del mantenimiento de la vía y mejorar el diseño de las nuevas vías. La presente tesis intenta por un lado desarrollar los modelos más adecuados y eficientes del vehículo y de la vía para los cálculos de los efectos dinámicos debido al tráfico de ferrocarril sobre la infraestructura de la vía sobre balasto, y por otro evaluar estos efectos dinámicos sobre el deterioro de la vía sobre balasto a largo plazo, empleando un adecuado modelo de predicción del deterioro de la misma. Se incluye en el trabajo una recopilación del estado del arte en lo referente a la dinámica de la vía, a la modelización del vehículo, de la vía y de la interacción entre ambos. También se hace un repaso al deterioro de la vía y los factores que influyen en su proceso. Para la primera línea de investigación de esta tesis, se han desarrollado los diferentes modelos del vehículo y de la vía y la modelización de la interacción entre ambos para los cálculos dinámicos en dos y tres dimensiones. En la interacción vehículo-vía, se ha empleado la formulación de contacto nodo-superficie para establecer la identificación de las superficies en contacto y el método de los multiplicadores de Lagrange para imponer las restricciones de contacto. El modelo de interacción se ha contrastado con los casos reportados en la literatura. Teniendo en cuenta el contacto no lineal entre rueda-carril y los perfiles de irregularidades distribuidas de la vía, se han evaluado y comparado los efectos dinámicos sobre el sistema vehículo-vía en la interacción de ambos, para distintas velocidades de circulación del vehículo, en los aspectos como la vibración del vehículo, fuerza de contacto, fuerza transmitida en los railpads, la vibración del carril. También se hace un estudio de la influencia de las propiedades de los componentes de la vía en la respuesta dinámica del sistema vehículo-vía. Se ha desarrollado el modelo del asiento de la vía que consiste en la implementación del modelo de acumulación de Bochum y del modelo de hipoplasticidad en la subrutina del usuario \UMAT" del programa ABAQUS. La implementación numérica ha sido comprobado al comparar los resultados de las simulaciones numéricas con los reportados en la literatura. Se ha evaluado la calidad geométrica de la vía sobre balasto de los tramos de estudio con datos reales de la auscultación proporcionados por ADIF (2012). Se ha propuesto una metodología de simulación, empleando el modelo de asiento, para reproducir el deterioro de la geometría de la vía. Se usan los perfiles de la nivelación longitudinal de la auscultación como perfiles de irregularidades iniciales de la vía en las simulaciones numéricas. También se evalúa la influencia de la velocidad de circulación sobre el deterioro de la vía. The traditional ballast track structures are still being used in high speed railways lines with success, however technical problems or performance features have led to ballast track solution in some cases. The considerable maintenance work is needed for ballasted tracks due to the track deterioration. Therefore it is very important to understand the mechanism of track deterioration and to predict the track settlement or track irregularity growth rate in order to reduce track maintenance costs and enable new track structures to be designed. This thesis attempts to develop the most adequate and efficient models for calculation of dynamic track load effects on railways track infrastructure, and to evaluate these dynamic effects on the track settlement, using a track settlement prediction model, which consists of the vehicle/track dynamic model previously selected and a track settlement law. A revision of the state of the knowledge regarding the track dynamics, the modelling of the vehicle, the track and the interaction between them is included. An overview related to the track deterioration and the factors influencing the track settlement is also done. For the first research of this thesis, the different models of vehicle, track and the modelling of the interaction between both have been developed. In the vehicle-track interaction, the node-surface contact formulation to establish the identification of the surfaces in contact and the Lagrange multipliers method to enforce contact constraint are used. The interaction model has been verified by contrast with some benchmarks reported in the literature. Considering the nonlinear contact between wheel-rail and the track irregularities, the dynamic effects on the vehicle-track system have been evaluated and compared, for different speeds of the vehicle, in aspects as vehicle vibration, contact force, force transmitted in railpads, rail vibration. A study of the influence of the properties of the track components on the the dynamic response of the vehicle-track system has been done. The track settlement model is developed that consist of the Bochum accumulation model and the hipoplasticity model in the user subroutine \UMAT" of the program ABAQUS. The numerical implementation has been verified by comparing the numerical results with those reported in the literature. The geometric quality of the ballast track has been evaluated with real data of auscultation provided by ADIF (2012). The simulation methodology has been proposed, using the settlement model for the ballast material, to reproduce the deterioration of the track geometry. The profiles of the longitudinal level of the auscultation is used as initial profiles of the track irregularities in the numerical simulation. The influence of the running speed on the track deterioration is also investigated.