Phase-variable surface structures are required for infection of Campylobacter jejuni by bacteriophages.

This study characterizes the interaction between Campylobacter jejuni and the 16 phages used in the United Kingdom typing scheme by screening spontaneous mutants of the phage-type strains and transposon mutants of the sequenced strain NCTC 11168. We show that the 16 typing phages fall into four groups based on their patterns of activity against spontaneous mutants. Screens of transposon and defined mutants indicate that the phage-bacterium interaction for one of these groups appears to involve the capsular polysaccharide (CPS), while two of the other three groups consist of flagellatropic phages. The expression of CPS and flagella is potentially phase variable in C. jejuni, and the implications of these findings for typing and intervention strategies are discussed.

Simulating dynamic covariance structures for testing the adaptive behavior of variable selection algorithms (Invited Paper)

Variable selection for regression is a classical statistical problem, motivated by concerns that too large a number of covariates may bring about overfitting and unnecessarily high measurement costs. Novel difficulties arise in streaming contexts, where the correlation structure of the process may be drifting, in which case it must be constantly tracked so that selections may be revised accordingly. A particularly interesting phenomenon is that non-selected covariates become missing variables, inducing bias on subsequent decisions. This raises an intricate exploration-exploitation tradeoff, whose dependence on the covariance tracking algorithm and the choice of variable selection scheme is too complex to be dealt with analytically. We hence capitalise on the strength of simulations to explore this problem, taking the opportunity to tackle the difficult task of simulating dynamic correlation structures. © 2008 IEEE.

Models and algorithms for tracking of maneuvering objects using variable rate particle filters

Standard algorithms in tracking and other state-space models assume identical and synchronous sampling rates for the state and measurement processes. However, real trajectories of objects are typically characterized by prolonged smooth sections, with sharp, but infrequent, changes. Thus, a more parsimonious representation of a target trajectory may be obtained by direct modeling of maneuver times in the state process, independently from the observation times. This is achieved by assuming the state arrival times to follow a random process, typically specified as Markovian, so that state points may be allocated along the trajectory according to the degree of variation observed. The resulting variable dimension state inference problem is solved by developing an efficient variable rate particle filtering algorithm to recursively update the posterior distribution of the state sequence as new data becomes available. The methodology is quite general and can be applied across many models where dynamic model uncertainty occurs on-line. Specific models are proposed for the dynamics of a moving object under internal forcing, expressed in terms of the intrinsic dynamics of the object. The performance of the algorithms with these dynamical models is demonstrated on several challenging maneuvering target tracking problems in clutter. © 2006 IEEE.

Partial soi power LDMOS with a variable low-kappa; Dielectric buried layer and a buried P layer

A power LDMOS on partial silicon on insulator (PSOI) with a variable low-κ dielectric (VLKD) buried layer and a buried p (BP) layer is proposed (VLKD BPSOI). At a low κ value, the electric field strength in the buried dielectric (EI) is enhanced, and a Si window makes the substrate share the vertical voltage drop, leading to a high vertical breakdown voltage (BV). Moreover, three interface field peaks are introduced by the BP, the Si window, and the VLKD, which modulate the fields in the SOI layer, the VLKD layer, and the substrate; consequently, a high BV is obtained. Furthermore, the BP reduces the specific on-resistance (Ron), and the Si window alleviates the self-heating effect (SHE). The BV for VLKD BPSOI is enhanced by 34.5%, and Ron is decreased by 26.6%, compared with those for the conventional PSOI, and VLKD BPSOI also maintains a low SHE. © 2006 IEEE.

Refractive index and thickness analysis of natural silicon dioxide film growing on silicon with variable-angle spectroscopic ellipsometry

The refractive index and thickness of SiO2 thin films naturally grown on Si substrates were determined simultaneously within the wavelength range of 220-1100 nm with variable-angle spectroscopic ellipsometry. Different angles of incidence and wavelength ranges were chosen to enhance the analysis sensitivity for more accurate results. Several optical models describing the practical SiO2-Si system were investigated, and best results were obtained with the optical model, including an interface layer between SiO2 and Si, which proved the existence of the interface layer in this work as described in other publications.

Evaluación de la respuesta a la fertilización variable nitrogenada en maíz en el norte de la provincia de Buenos Aires (Arrecifes)

Resumen: La necesidad de aumentar la rentabilidad en nuestro sistema agrícola actual, exige cada vez más la adopción por parte del productor de nuevas tecnologías de procesos, técnicas diferenciales de manejo en sus cultivos, diferentes a las que el mismo venía llevando en los últimos años. Todo esto como consecuencia del aumento de costos de insumos y servicios agropecuarios, como así también el escenario de precios actuales de comodities, las políticas de gobierno frente al sector, etc. Es por esto que el productor se ve obligado a ser eficiente y rentable en su negocio para poder subsistir en la actividad, de manera económica y sustentable para el medio ambiente. La importancia y justificación del tema elegido en este ensayo nos sirve para tratar de entender cuál sería la variable adecuada (tanto en densidad de población del híbrido elegido como dosis de fertilización nitrogenada ajustada) para el ambiente productivo que tengamos en un establecimiento, para poder ser más eficientes en el uso y ahorro de insumos; y teniendo en cuenta también como venga el año para la campaña de siembra, ya sea un pronóstico de año niño, niña o neutro. El objetivo de este ensayo fue evaluar la respuesta de rendimiento del cultivo de maíz a la fertilización nitrogenada variable, para un mismo ambiente, en dos poblaciones distintas de densidad del hibrido elegido, sobre un suelo clase II correspondiente a la serie Arrecifes. El ensayo fue realizado en el Establecimiento San Bartolomé, en el potrero número 13, perteneciente a la firma Don Paco S.A, ubicado a 4 km de la localidad de Arrecifes, Provincia de Buenos Aires, Argentina. El sitio experimental fue preparado mediante la aplicación de un barbecho químico y posterior labor en siembra directa. La misma se realizó el 12 de Octubre de 2011, y las posteriores fertilizaciones nitrogenadas se realizaron el día 2 de Diciembre de 2011. El diseño experimental fue un Diseño de factorial con dos factores y dos repeticiones para cada tratamiento. Los datos obtenidos fueron analizados mediante un análisis de varianza (ANOVA). El rendimiento del cultivo de maíz difirió significativamente para las densidades de poblaciones y también para las diferentes dosis de fertilización nitrogenada (p valor < 0.05). Los datos obtenidos para las densidades de población de 60000 plantas ha-1 y 80000 plantas ha-1 fueron de 2813 kg ha-1 y 3358 kg ha-1, respectivamente. Mientras que para las diferentes dosis nitrogenadas los rindes por parcela fueron de 2551 kg ha-1; 2867 kg ha-1; 3267 kg ha-1 y 3658 kg ha-1, para las dosis de N de 0; 40; 80 y 120 kg N ha-1. Bajo este planteo de fecha de siembra, el efecto de las escasas lluvias durante los meses de diciembre y enero, afecto claramente los rendimientos del ensayo. La sequia que atravesó la campaña 2011/12, en un año con perfil La Niña, nos sirve para explicar los bajos resultados obtenidos.

Effects of physical parameter range on dimensionless variable sensitivity in water flooding reservoirs

The similarity criterion for water flooding reservoir flows is concerned with in the present paper. When finding out all the dimensionless variables governing this kind of flow, their physical meanings are subsequently elucidated. Then, a numerical approach of sensitivity analysis is adopted to quantify their corresponding dominance degree among the similarity parameters. In this way, we may finally identify major scaling law in different parameter range and demonstrate the respective effects of viscosity, permeability and injection rate.

Effects of physical parameter range on dimensionless variable sensitivity in water flooding reservoirs

The similarity criterion for water flooding reservoir flows is concerned with in the present paper. When finding out all the dimensionless variables governing this kind of flow, their physical meanings are subsequently elucidated. Then, a numerical approach of sensitivity analysis is adopted to quantify their corresponding dominance degree among the similarity parameters. In this way, we may finally identify major scaling law in different parameter range and demonstrate the respective effects of viscosity, permeability and injection rate.