Occurrence of sorghum midge stenodiplosis sorghicola (Coq,) during the second crop growing season on the pacific coastal plain of Nicaragua

La mosquita de la panojas del sorgo, Stenediplosls sorghicola (Coq.) es una de las plagas mas importantes que atacan al sorgo en Nicaragua. Varios estudios fueron conducidos en el pacifico de Nicaragua durante 1998 y 1999 para determinar hospederos y la actividad de esta plaga durante la segunda fecha de siembra de este cultivo (Postrera). Hembras oviposltaron en sorgo desde mediados de Septiembre hasta los últimos dfas de Diciembre. Cuando sorgo no se encontraba presente, hembras ovipositaron en sorgo escobero, Sorghum bicolor (L.) o pastoJonson, Sorghum halepense L. Pasto Jonson florea durante todo el ano y puede servir como hospedero mientras las otras especies de sorghum no se encuentran en el campo. Cuando estos tres hospederos estaban floreando al mismo tiempo, las hembras exhibieron una fuerte preferencia para ovlpositar en sorgo. Basado en estas observaciones la mosquita de la panoja del sorgo puede estar activa durante todo el ano en el pacifico de Nicaragua. Conocimiento de la ocurrencia y comportamiento de la mosquita en el area, es muy Importante para el desarrollo de estrategias de manejo de esta plaga.

Plane strain problem of growing crack for a perfectly plastic solid

In this paper, fundamental equations of the plane strain problem based on the 3-dimensional plastic flow theory are presented for a perfectly-plastic solid The complete governing equations for the growing crack problem are developed. The formulae for determining the velocity field are derived.The asymptotic equation consists of the premise equation and the zero-order governing equation. It is proved that the Prandtl centered-fan sector satisfies asymptotic equation but does not meet the needs of hlgher-order governing equations.

Second-best tax policy in a growing economy with externalities

This paper investigates the exploitation of environmental resources in a growing economy within a second-best scal policy framework. Agents derive utility from two types of consumption goods one which relies on an environmental input and one which does not as well as from leisure and from environmental amenity values. Property rights for the environmental resource are potentially incomplete. We connect second best policy to essential components of utility by considering the elasticity of substitution among each of the four utility arguments. The results illustrate potentially important relationships between environmental amentity values and leisure. When amenity values are complementary with leisure, for instance when environmental amenities are used for recreation, taxes on extractive goods generally increase over time. On the other hand, optimal taxes on extractive goods generally decrease over time when leisure and environmental amenity values are substitutes. Unders some parameterizations, complex dynamics leading to nonmonotonic time paths for the state variables can emerge.

Phenotypic correlations of fatty acid composition among intramuscular, subcutaneous and intermuscular fat tissues in concentrate-fed beef cattle of differing genotypes

[EN]In an attempt to predict intramuscular fatty acid composition using easily accessible fat depots, between-tissue correlations were studied in 75 Asturiana de los Valles bulls with different levels of muscular hypertrophy, and 25 Asturiana de la Montan˜ a bulls. Trans-18:1 in intramuscular fat was highly and positively correlated with levels in subcutaneous and intermuscular fats, while levels of total n-3 were not correlated. Predicting intramuscular fatty acid composition using easily accessible depots is thus possible for some fatty acids exhibiting high between-tissue correlations (e.g., trans-18:1) but breed and tissue specific deposition may limit this for others (e.g., n-3 fatty acids).

Fast growing mode of stimulated Raman scattering in a pure three-wave process

Stimulated Raman scattering (SRS) of a relativistic laser in plasmas is studied in the framework of the standard equation set of a three-wave process. As far as every wave involved in the process is concerned, its evolution has two aspects: time-dependent amplitude and time-dependent frequency. These two aspects affect each other. Strict analysis and numerical experiment on the full three-wave equation set reveal that a fast growing mode of the instability, which could reach a balance or saturation point during a period far shorter than an estimation based on conventional analysis, could take place in a standard three-wave process without coupling with a fourth wave. This fast growing mode is found to stem from the constraint set by the background density on the amplitude of the driven Langmuir wave. The effect of various parameters on the development of the SRS instability is studied by numerical calculation of the history of the instability in different cases. (c) 2007 American Institute of Physics.

The production of algae growing on gravel in a chalk-stream

Epilithic algae, ie that growing on the surface of stones, was studied as part of the work on the energy flow of the chalk-stream ecosystem, by the River Laboratory. The study area was on Bere Stream and 2 neighbouring streams. The algal biomass was estimated from analysis of chlorophyll a. In Bere Stream the peak chlorophyll a cover occurred in April, while in the neighbouring streams, which have considerably lower nutrient levels, there was on peak. Assuming that 2% of a diatoms dry wt is chlorophyll a, then even in mid-April the biomass of epilithic algae amounted to no more than 15 g dry wt m Super(-2) of exposed gravel. Annual production was calculated to be > 15 times greater than biomass. The estimation of net primary production is always difficult for benthic floras and comparisons are especially difficult when different methods are used. But these figures contrast sharply with those for Ranunculus (water crowfoot) which has a ratio of annual production to maximal seasonal biomass of 1:16. The accumulation of algal biomass is apparently being prevented. Some organic matter may be excreted; some algae will be washed off the bed of the stream by current and grazing by herbivorous invertebrates will also tend to prevent algal accumulation.

Advanced Monte Carlo Simulation and Machine Learning for Frequency Domain Optical Coherence Tomography

Optical Coherence Tomography(OCT) is a popular, rapidly growing imaging technique with an increasing number of bio-medical applications due to its noninvasive nature. However, there are three major challenges in understanding and improving an OCT system: (1) Obtaining an OCT image is not easy. It either takes a real medical experiment or requires days of computer simulation. Without much data, it is difficult to study the physical processes underlying OCT imaging of different objects simply because there aren't many imaged objects. (2) Interpretation of an OCT image is also hard. This challenge is more profound than it appears. For instance, it would require a trained expert to tell from an OCT image of human skin whether there is a lesion or not. This is expensive in its own right, but even the expert cannot be sure about the exact size of the lesion or the width of the various skin layers. The take-away message is that analyzing an OCT image even from a high level would usually require a trained expert, and pixel-level interpretation is simply unrealistic. The reason is simple: we have OCT images but not their underlying ground-truth structure, so there is nothing to learn from. (3) The imaging depth of OCT is very limited (millimeter or sub-millimeter on human tissues). While OCT utilizes infrared light for illumination to stay noninvasive, the downside of this is that photons at such long wavelengths can only penetrate a limited depth into the tissue before getting back-scattered. To image a particular region of a tissue, photons first need to reach that region. As a result, OCT signals from deeper regions of the tissue are both weak (since few photons reached there) and distorted (due to multiple scatterings of the contributing photons). This fact alone makes OCT images very hard to interpret.

This thesis addresses the above challenges by successfully developing an advanced Monte Carlo simulation platform which is 10000 times faster than the state-of-the-art simulator in the literature, bringing down the simulation time from 360 hours to a single minute. This powerful simulation tool not only enables us to efficiently generate as many OCT images of objects with arbitrary structure and shape as we want on a common desktop computer, but it also provides us the underlying ground-truth of the simulated images at the same time because we dictate them at the beginning of the simulation. This is one of the key contributions of this thesis. What allows us to build such a powerful simulation tool includes a thorough understanding of the signal formation process, clever implementation of the importance sampling/photon splitting procedure, efficient use of a voxel-based mesh system in determining photon-mesh interception, and a parallel computation of different A-scans that consist a full OCT image, among other programming and mathematical tricks, which will be explained in detail later in the thesis.

Next we aim at the inverse problem: given an OCT image, predict/reconstruct its ground-truth structure on a pixel level. By solving this problem we would be able to interpret an OCT image completely and precisely without the help from a trained expert. It turns out that we can do much better. For simple structures we are able to reconstruct the ground-truth of an OCT image more than 98% correctly, and for more complicated structures (e.g., a multi-layered brain structure) we are looking at 93%. We achieved this through extensive uses of Machine Learning. The success of the Monte Carlo simulation already puts us in a great position by providing us with a great deal of data (effectively unlimited), in the form of (image, truth) pairs. Through a transformation of the high-dimensional response variable, we convert the learning task into a multi-output multi-class classification problem and a multi-output regression problem. We then build a hierarchy architecture of machine learning models (committee of experts) and train different parts of the architecture with specifically designed data sets. In prediction, an unseen OCT image first goes through a classification model to determine its structure (e.g., the number and the types of layers present in the image); then the image is handed to a regression model that is trained specifically for that particular structure to predict the length of the different layers and by doing so reconstruct the ground-truth of the image. We also demonstrate that ideas from Deep Learning can be useful to further improve the performance.

It is worth pointing out that solving the inverse problem automatically improves the imaging depth, since previously the lower half of an OCT image (i.e., greater depth) can be hardly seen but now becomes fully resolved. Interestingly, although OCT signals consisting the lower half of the image are weak, messy, and uninterpretable to human eyes, they still carry enough information which when fed into a well-trained machine learning model spits out precisely the true structure of the object being imaged. This is just another case where Artificial Intelligence (AI) outperforms human. To the best knowledge of the author, this thesis is not only a success but also the first attempt to reconstruct an OCT image at a pixel level. To even give a try on this kind of task, it would require fully annotated OCT images and a lot of them (hundreds or even thousands). This is clearly impossible without a powerful simulation tool like the one developed in this thesis.

Papel das hemaglutininas 67-72p de Corynebacterium diphtheriae na ligação a proteínas plasmáticas, superfícies celulares, invasão e indução de apoptose

Corynebacterium diphtheriae pode ser isolado tanto de quadros de difteria clássica, quanto de infecções sistêmicas, como endocardite. O fibrinogênio (Fbn) e a fibronectina (Fn) são glicoproteínas presentes na matriz extracelular de tecidos conjuntivos. A influência destas proteínas na patogênese das infecções locais e invasivas causadas por C. diphtheriae é objeto de estudo devido ao fato do bacilo diftérico poder ser encontrado em lesões nas quais o Fbn e a Fn são predominantes, incluindo a pseudomembrana diftérica e vegetações cardíacas presentes na endocardite infecciosa. São crescentes as evidências de que o C. diphtheriae pode, além de aderir, ser internalizado por células em cultura. No presente estudo, investigou-se a participação de C. diphtheriae e das proteínas de superfície 67-72p na aderência à Fn e ao Fbn de plasma humano e a eritrócitos. A aderência às células HEp-2 e internalização também foram analisadas. A participação de 67-72p nos mecanismos de morte celular foi avaliada através das colorações por Azul de Tripan e 46-diamidino-2-fenil indol (DAPI), pelo ensaio de redução utilizando dimetil-tiazol-difenil tetrazólio (MTT) e por citometria de fluxo. As 67-72p foram extraídas da superfície da amostra toxigênica C. diphtheriae subsp. mitis CDC-E8392 através de processos mecânicos e precipitação com sulfato de amônio saturado. Análises por SDS-PAGE e immunoblotting detectaram a presença das bandas protéicas de 67 e 72kDa nas amostras toxinogênicas e atoxinogênicas analisadas, as quais pertenciam aos biotipos fermentador e não fermentador de sacarose. C. diphtheriae foi capazes não só de formar agregados na presença de plasma de coelho, mas também de converter Fbn em fibrina independentemente da presença do gene tox. No entanto, a amostra atoxinogênica ATCC 27010 (tox-) foi menos aderente ao Fbn do que a homóloga ATCC 27012 (tox+). A interação bacteriana com eritrócitos foi inibida somente pela Fn. Ligações entre Fn e/ou Fbn com 67-72p foram demonstradas por dot blotting, ELISA e/ou ensaios utilizando fluorescência. As 67-72p foram capazes de inibir as interações bacterianas com o Fbn, indicando que 67-72p podem participar do processo de aderência do patógeno aos tecidos do hospedeiro. Através da microscopia óptica, demonstrou-se a ligação de 67-72p adsorvidas em microesferas de látex com células HEp-2. Anticorpos de coelho do tipo IgG anti 67-72p interferiram somente com a expressão do padrão de aderência do tipo difuso, normalmente apresentado pela amostra CDC-E8392. A Microscopia Eletrônica de Transmissão (MET) e a inibição da internalização bacteriana pela IgG anti 67-72p ou por 67-72p indicaram o papel de 67-72p como invasina. Alterações do citoesqueleto de células HEp-2 com acumulação de actina polimerizada, induzida por microesferas sensibilizadas com 67-72p, foi observada pelo fluorescent actin staining (FAS) test. Foi visualizado um aumento no número de bactérias viáveis no compartimento intracelular após tratamento de células HEp-2 ou dos microrganismos com Fn. A presença de partículas de látex adsorvidas com 67-72p no interior de vacúolos frouxos em células HEp-2 sugeriu que estas proteínas podem causar efeito citotóxico. A avaliação através das colorações com Azul de Tripan, DAPI e os ensaios de redução utilizando MTT demonstraram um decréscimo na viabilidade de células tratadas com 67-72p. As mudanças morfológicas observadas 3 horas após o início do tratamento com 67-72p incluíram vacuolização, fragmentação nuclear e formação de corpúsculos apoptóticos. A citometria de fluxo revelou um decréscimo de 15,13% no volume/tamanho de células tratadas com 67-72p. Além disso, o ensaio utilizando Iodeto de Propídio (IP) e Anexina V (AV)-FITIC demonstrou que havia 66,1% de células vivas (IP-/AV-), 16,6% de células em apoptose inicial (IP-/AV+) e 13,8% de células em apoptose tardia ou necrose secundária. Em conclusão, as 67-72p estão diretamente envolvidas na interação com Fn e Fbn. As proteínas não fimbriais 67-72p são hemaglutininas implicadas na aderência a células respiratórias e na internalização. Além disso, estas proteínas podem atuar como fatores de virulência em potencial para induzir apoptose de células epiteliais nos estágios iniciais da difteria e nas infecções invasivas causadas pelo C. diphtheriae

Efeito da hiperalimentação na lactação sobre a regulação da adiposidade corporal e sinalização da grelina no tecido adiposo branco de camundongos jovens e adultos

A obesidade é um dos maiores problemas de saúde pública que cresce em todo o mundo, resultante de um desequilíbrio entre ingestão alimentar e gasto energético. O aumento da adiposidade leva ao desenvolvimento de alterações funcionais. Pode-se dizer que a obesidade é o principal fator de risco para o desenvolvimento de doenças crônicas de maior prevalência como dislipidemias, doenças cardiovasculares e diabetes do tipo 2, acarretando na redução da qualidade e expectativa de vida. A Grelina é um hormônio sintetizado pelo estômago, que atua em diferentes tecidos através de um receptor específico (GHS-R1a), incluindo hipotálamo e tecido adiposo. A grelina tem uma ação direta sobre a regulação hipotalâmica da ingestão alimentar, induzindo um efeito orexígeno. Por outro lado, a grelina também modula o armazenamento de energia nos adipócitos. Esta dupla ação sugere que este hormônio pode atuar como uma ligação entre o sistema nervoso central e mecanismos periféricos. Portanto, considerando que a hiperalimentação neonatal induz obesidade na idade adulta por mecanismos desconhecidos, neste estudo foram pesquisados os efeitos da hiperalimentação no início da vida sobre o desenvolvimento da obesidade e, em particular, a sinalização da grelina no tecido adiposo em ratos jovens e adultos. Foram utilizados camundongos Swiss hiperalimentados através do modelo de redução da ninhada. Para induzir a hiperalimentação as ninhadas foram reduzidas a 3 filhotes machos por lactante no 30 dia de vida pós-natal. As ninhadas controles foram ajustadas em 9 filhotes por lactante. Foram avaliados parâmetros antropométricos como: massa corporal e massa do tecido adiposo visceral. A glicemia de jejum foi avaliada utilizando glicosímetro e fitas teste. A análise do conteúdo das proteínas envolvidas na via de sinalização da grelina foram detectadas pelo método de Western Blotting. Os grupos controle (C) e hiperalimentado (H) foram estudados aos 21 e 180 dias de vida. Os dados demonstram que a hipernutrição no início da vida induz um aumento significativo no peso corporal dos camundongos jovens, começando aos 10 dias, e este aumento de peso persistiu até à idade adulta (180 dias de idade). A glicemia e o peso da gordura visceral foram significativamente maiores no grupo hiperalimentado aos 21 e 180 dias, quando comparado com o grupo controle. Os níveis plasmáticos de grelina acilada apresentaram uma redução de 70% nos animais jovens e 49% adultos obesos. Além disso, no tecido adiposo branco, observamos um maior conteúdo (242%) do receptor de grelina (GHSR1a) nos animais hiperalimentados com 21 dias, e este aumento foi associado à modulação positiva do conteúdo e fosforilação de proteínas envolvidas no estoque e utilização de energia celular, tais como AKT, PI3K, AMPK, GLUT-4, e CPT1. No entanto, ao chegar à idade adulta os animais hiperalimentados não apresentaram diferença significativa no conteúdo de GHS-R1a e das proteínas AKT, PI3K, AMPK, GLUT-4, e CPT1. O conteúdo de PPARɣ foi menor no grupo obeso aos 21e 180 dias. Basicamente, mostramos que o metabolismo do tecido adiposo está alterado na obesidade adquirida no início da vida e, provavelmente, devido a essa modificação, ocorre um novo padrão da via de sinalização da grelina.

Dendrorremediación: El uso de Betula alba para monitorizar y reducir el contenido de metales en suelos mineros.

[EN] The intense industrial activity that took place over the past century resulted in large contaminated áreas. This is an important risk to human health and environmental safety. Recent biotechnological techniques for bioremediation include phytoremediation, which uses plants to remove or stabilize contaminants in soils. In our study we choose birch (Betula alba) as the preferred species to remedy mining soils, due to it produces a large biomass and can accumulate high levels of toxic elements in its tissues. The aim of this study was (i) to determine the possibility of using this species in reforestation and/or remediation of mining soils (ii) to elucidate the potential of tocopherol levels as indicators of heavy metal pollution. Trees growing in mining soils with high concentrations of Zn, Cd and Pb were sampled and the metal content in various organs and in tree rings was analyzed. α-tocoferol levels were also analyzed as an indicator of stress. The results showed a different distribution of metals in plant tissues. Zn and Cd had a higher accumulation in leaves, whereas Pb was stored in the timber. In addition, the metal content in tree rings was higher in older rings, leading to a conclusion that older tissues present a detoxification strategy. Furthermore, we saw how the presence of α- tocoferol on branches can be an indicator of metal stress in plants and it can be also used as a monitoring factor.