920 resultados para conditioned launch


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An important evaporitic sedimentation occurred during the Paleogene (Eocene to lower Oligocene) in the Barberà sector of the southeastern margin of the Tertiary Ebro Basin. This sedimentation took place in shallow lacustrine environments and was controlled by a number of factors: 1) the tectonic structuration of the margin; 2) the high calcium sulphate content in the meteoric waters coming from the marginal reliefs; 3) the semiarid climate; and 4) the development of large alluvial fans along the basin margin, which also conditioned the location of the saline lakes. The evaporites are currently composed of secondary gypsum in surface and anhydrite at depth. There are, however, vestiges of the local presence of sodium sulphates. The evaporite units, with individual thicknesses ranging between 50 and 100 m, are intercalated within various lithostratigraphic formations and exhibit a paleogeographical pattern. The units located closer to the basin margin are characterized by a massive gypsum lithofacies (originally, bioturbated gypsum) bearing chert, and also by meganodular gypsum locally (originally, meganodules of anhydrite) in association with red lutites and clastic intercalations (gypsarenites, sandstones and conglomerates). Chert, which is only linked to the thickest gypsum layers, seems to be an early diagenetic, lacustrine product. Cyclicity in these proximal units indicates the progressive development of lowsalinity, lacustrine bodies on red mud flats. At the top of some cycles, exposure episodes commonly resulted in dissolution, erosion, and the formation of edaphic features. In contrast, the units located in a more distal position with regard to the basin margin are formed by an alternation of banded-nodular gypsum and laminated gypsum layers in association with grey lutites and few clastic intercalations. These distal units formed in saline lakes with a higher ionic concentration. Exposure episodes in these lakes resulted in the formation of synsedimentary anhydrite and sabkha cycles. In some of these units, however, outer rims characterized by a lithofacies association similar to that of the proximal units occur (nodular gypsum, massive gypsum and chert nodules).

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Emergence and stand establishment of tomato (Lycopersicon lycopersicum (L.) (Karsten ex Farw) and pepper (Capsicum annus L.) seeds are often slow and erratic, particularly under stress conditions. Field emergence trials sometimes have not responded to priming in pepper. This study examined the combined effects of matriconditioning and gibberellin application on the germination and stand establishment of pepper and tomato seeds. Pepper and tomato seeds were conditioned with a solid carrier, Micro Cel E, in the presence of gibberellic acid (GA) for 1, 2 , 3 and 4 days at 15 and 25ºC. The results showed that, in all cases, even under stress conditions, the combination of matriconditioning with GA was effective in improving germination and emergence of pepper and tomato. The germination time was, in average, reduced by 2 to 3 days by primed seeds. Thus, matriconditioning, during which germination is suspended, provides an unique means to rapidly and efficiently digest the endosperm by GA-induced enzymes and reduce the mechanical restraints of endosperm thus providing energy to start and sustain embryo growth.

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The abnormal vascular system of brain cancers inappropriately expresses membrane proteins, including proteolytic enzymes, ultimately resulting in blood extravasation. The production of inflammatory mediators, such as cytokines and nitric oxide, and tumor hypoxia have been implicated in these effects. We have previously shown that the activity of aminopeptidase A is increased in the abnormal vascular system of human and rat brain tumors. To study the mechanisms regulating the activities of peptidases in cerebral vasculature in brain tumors, we have developed a three-dimensional model of differentiated rat brain cells in aggregate cultures in which rat brain microvessels were incorporated. The secretion of interleukin-6 (IL-6) in the culture medium of aggregates was used as an indicator of inflammatory activation. Addition to these aggregates of C6 glioma cell medium (C6-CM) conditioned under hypoxic or normoxic conditions or serum mimicked tumor-dependent hypoxia or conditions of dysfunction of brain tumor vasculature. Hypoxic and normoxic C6-CM, but not serum, regulated peptidase activity in aggregates, and in particular it increased the activity of aminopeptidase A determined using histoenzymography. Serum, but not C6-CM, increased IL-6 production, but did not increase aminopeptidase A activity in aggregates. Thus soluble glioma-derived factors, but not serum-derived factors, induce dysfunctions of cerebral vasculature by directly regulating the activity of peptidases, not involving inflammatory activation. Tumor hypoxia is not necessary to modulate peptidase activity.

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A criminal investigation requires to search and to interpret vestiges of a criminal act that happened in a past time. The forensic investigator arises in this context as a critical reader of the investigation scene, in search of physical traces that should enable her to tell a story of the offence/crime which allegedly occurred. The challenge of any investigator is to detect and recognise relevant physical traces in order to provide forensic clues for investigation and intelligence purposes. Inspired by this obser- vation, the current research focuses on the following questions : What is a relevant physical trace? And, how does the forensic investigator know she is facing one ? The interest of such questions is to provide a definition of a dimension often used in forensic science but never studied in its implications and operations. This doctoral research investigates scientific paths that are not often explored in forensic science, by using semiotic and sociological tools combined with statistical data analysis. The results are shown following a semiotic path, strongly influenced by Peir- ce's studies, and a second track, called empirical, where investigations data were analysed and forensic investigators interviewed about their work practices in the field. By the semiotic track, a macroscopic view is given of a signification process running from the discove- red physical trace at the scene to what is evaluated as being relevant for the investigator. The physical trace is perceived in the form of several signs, whose meaning is culturally codified. The reasoning should consist of three main steps : 1- What kind of source does the discovered physical trace refer to ? 2- What cause/activity is at the origin of this source in the specific context of the case ? 3- What story can be told from these observations ? The stage 3 requires to reason in creating hypotheses that should explain the presence of the discovered trace coming from an activity ; the specific activity that is related to the investigated case. To validate this assumption, it would depend on their ability to respond to a rule of relevancy. The last step is the symbolisation of the relevancy. The rule would consist of two points : the recognition of the factual/circumstantial relevancy (Is the link between the trace and the case recognised with the formulated hypothesis ? ) and appropriate relevancy (What investment is required to collect and analyse the discovered trace considering the expected outcome at the investigation/intelligence level?). This process of meaning is based on observations and a conjectural reasoning subject to many influences. In this study, relevancy in forensic science is presented as a conventional dimension that is symbolised and conditioned by the context, the forensic investigator's practice and her workplace environment (culture of the place). In short, the current research states relevancy results of the interactions between parameters from situational, structural (or organisational) and individual orders. The detection, collection and analysis of relevant physical traces at scenes depends on the knowledge and culture mastered by the forensic investigator. In the study of the relation relevant trace-forensic investigator, this research introduces the KEE model as a conceptual map that illustrates three major areas of forensic knowledge and culture acquisition, involved in the research and evaluation of the relevant physical trace. Through the analysis of the investigation data and interviews, the relationship between those three parameters and the relevancy was highlighted. K, for knowing, embodies a rela- tionship to the immediate knowledge allowing to give an overview of the reality at a specific moment ; an important point since relevancy is signified in a context. E, for education, is considered through its relationship with relevancy via a culture that tends to become institutionalised ; it represents the theoretical knowledge. As for the parameter E, for experience, it exists in its relation to relevancy in the adjustments of the strategies of intervention (i.e a practical knowledge) of each practitioner having modulated her work in the light of success and setbacks case after case. The two E parameters constitute the library resources for the semiotic recognition process and the K parameter ensures the contextualisation required to set up the reasoning and to formulate explanatory hypotheses for the discovered physical traces, questioned in their relevancy. This research demonstrates that the relevancy is not absolute. It is temporal and contextual; it is a conventional and relative dimension that must be discussed. This is where the whole issue of the meaning of what is relevant to each stakeholder of the investigation process rests. By proposing a step by step approach to the meaning process from the physical trace to the forensic clue, this study aims to provide a more advanced understanding of the reasoning and its operation, in order to streng- then forensic investigators' training. This doctoral research presents a set of tools critical to both pedagogical and practical aspects for crime scene management while identifying key-influences with individual, structural and situational dimensions. - Une enquête criminelle consiste à rechercher et à faire parler les vestiges d'un acte incriminé passé. L'investigateur forensique se pose dans ce cadre comme un lecteur critique des lieux à la recherche de traces devant lui permettre de former son récit, soit l'histoire du délit/crime censé s'être produit. Le challenge de tout investigateur est de pouvoir détecter et reconnaître les traces dites pertinentes pour fournir des indices forensiques à buts d'enquête et de renseignement. Inspirée par un tel constat, la présente recherche pose au coeur de ses réflexions les questions suivantes : Qu'est-ce qu'une trace pertinente ? Et, comment fait le forensicien pour déterminer qu'il y fait face ? L'intérêt de tels questionnements se comprend dans la volonté de définir une dimension souvent utili- sée en science forensique, mais encore jamais étudiée dans ses implications et fonctionnements. Cette recherche se lance dans des voies d'étude encore peu explorées en usant d'outils sémiotiques et des pratiques d'enquêtes sociologiques combinés à des traitements statistiques de données. Les résultats sont représentés en suivant une piste sémiotique fortement influencée par les écrits de Peirce et une seconde piste dite empirique où des données d'interventions ont été analysées et des investigateurs forensiques interviewés sur leurs pratiques de travail sur le terrain. Par la piste sémiotique, une vision macroscopique du processus de signification de la trace en élément pertinent est représentée. La trace est perçue sous la forme de plusieurs signes dont la signification est codifiée culturellement. Le raisonnement se formaliserait en trois principales étapes : 1- Quel type de source évoque la trace détectée? 2- Quelle cause/activité est à l'origine de cette source dans le contexte précis du cas ? 3- Quelle histoire peut être racontée à partir de ces observations ? Cette dernière étape consiste à raisonner en créant des hypothèses devant expliquer la présence de la trace détectée suite à une activité posée comme étant en lien avec le cas investigué. Pour valider ces hypothèses, cela dépendrait de leur capacité à répondre à une règle, celle de la pertinence. Cette dernière étape consiste en la symbolisation de la pertinence. La règle se composerait de deux points : la reconnaissance de la pertinence factuelle (le lien entre la trace et le cas est-il reconnu dans l'hypothèse fournie?) et la pertinence appropriée (quel est l'investissement à fournir dans la collecte et l'exploitation de la trace pour le bénéfice attendu au niveau de l'investigation/renseignement?). Tout ce processus de signification se base sur des observations et un raisonnement conjectural soumis à de nombreuses influences. Dans cette étude, la pertinence en science forensique se formalise sous les traits d'une dimension conventionnelle, symbolisée, conditionnée par le contexte, la pratique de l'investigateur forensique et la culture du milieu ; en somme cette recherche avance que la pertinence est le fruit d'une interaction entre des paramètres d'ordre situationnel, structurel (ou organisationnel) et individuel. Garantir la détection, la collecte et l'exploitation des traces pertinentes sur les lieux dépend de la connaissance et d'une culture maîtrisées par le forensicien. Dans l'étude du rapport trace pertinente-investigateur forensique, la présente recherche pose le modèle SFE comme une carte conceptuelle illustrant trois grands axes d'acquisition de la connaissance et de la culture forensiques intervenant dans la recherche et l'évaluation de la trace pertinente. Par l'analyse des données d'in- terventions et des entretiens, le rapport entre ces trois paramètres et la pertinence a été mis en évidence. S, pour savoir, incarne un rapport à la connaissance immédiate pour se faire une représentation d'une réalité à un instant donné, un point important pour une pertinence qui se comprend dans un contexte. F, pour formation, se conçoit dans son rapport à la pertinence via cette culture qui tend à s'institutionnaliser (soit une connaissance théorique). Quant au paramètre E, pour expérience, il se comprend dans son rapport à la pertinence dans cet ajustement des stratégies d'intervention (soit une connaissance pratique) de chaque praticien ayant modulé leur travail au regard des succès et échecs enregistrés cas après cas. F et E formeraient la bibliothèque de ressources permettant le processus de reconnaissance sémiotique et S assurerait la contextualisation nécessaire pour poser le raisonnement et formuler les hypothèses explicatives pour les traces détectées et questionnées dans leur pertinence. Ce travail démontre que la pertinence n'est pas absolue. Elle est temporelle et contextuelle, c'est une dimension conventionnelle relative et interprétée qui se doit d'être discutée. C'est là que repose toute la problématique de la signification de ce qui est pertinent pour chaque participant du processus d'investigation. En proposant une lecture par étapes du processus de signification depuis la trace à l'indice, l'étude vise à offrir une compréhension plus poussée du raisonnement et de son fonctionnement pour renforcer la formation des intervenants forensiques. Cette recherche présente ainsi un ensemble d'outils critiques à portée tant pédagogiques que pratiques pour la gestion des lieux tout en identifiant des influences-clé jouées par des dimensions individuelles, structurelles et situationnelles.

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In IVF around 70% of embryos fail to implant. Often more than one embryo is transferred in order to enhance the chances of pregnancy, but this is at the price of an increased multiple pregnancy risk. In the aim to increase the success rate with a single embryo, research projects on prognostic factors of embryo viability have been initiated, but no marker has found a routine clinical application to date. Effects of soluble human leukocyte antigen-G (sHLA-G) on both NK cell activity and on Th1/Th2 cytokine balance suggest a role in the embryo implantation process, but the relevance of sHLA-G measurements in embryo culture medium and in follicular fluid (FF) are inconsistent to date. In this study, we have investigated the potential of sHLA-G in predicting the achievement of a pregnancy after IVF-ICSI in a large number of patients (n = 221). sHLA-G was determined in media and in FF by ELISA. In both FF and embryo medium, no significant differences in sHLA-G concentrations were observed between the groups "pregnancy" and "implantation failure", or between the groups "ongoing" versus "miscarried pregnancies". Our results do not favour routine sHLA-G determinations in the FF nor in embryo conditioned media, with the current assay technology available.

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The prevalence of obesity has markedly increased over the past few decades. Exploration of how hunger and satiety signals influence the reward system can help us understand non-homeostatic feeding. Insulin may act in the ventral tegmental area (VTA), a critical site for reward-seeking behavior, to suppress feeding. However, the neural mechanisms underlying insulin effects in the VTA remain unknown. We demonstrate that insulin, a circulating catabolic peptide that inhibits feeding, can induce long-term depression (LTD) of mouse excitatory synapses onto VTA dopamine neurons. This effect requires endocannabinoid-mediated presynaptic inhibition of glutamate release. Furthermore, after a sweetened high-fat meal, which elevates endogenous insulin, insulin-induced LTD is occluded. Finally, insulin in the VTA reduces food anticipatory behavior in mice and conditioned place preference for food in rats. Taken together, these results suggest that insulin in the VTA suppresses excitatory synaptic transmission and reduces anticipatory activity and preference for food-related cues.

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Due to the advances in sensor networks and remote sensing technologies, the acquisition and storage rates of meteorological and climatological data increases every day and ask for novel and efficient processing algorithms. A fundamental problem of data analysis and modeling is the spatial prediction of meteorological variables in complex orography, which serves among others to extended climatological analyses, for the assimilation of data into numerical weather prediction models, for preparing inputs to hydrological models and for real time monitoring and short-term forecasting of weather.In this thesis, a new framework for spatial estimation is proposed by taking advantage of a class of algorithms emerging from the statistical learning theory. Nonparametric kernel-based methods for nonlinear data classification, regression and target detection, known as support vector machines (SVM), are adapted for mapping of meteorological variables in complex orography.With the advent of high resolution digital elevation models, the field of spatial prediction met new horizons. In fact, by exploiting image processing tools along with physical heuristics, an incredible number of terrain features which account for the topographic conditions at multiple spatial scales can be extracted. Such features are highly relevant for the mapping of meteorological variables because they control a considerable part of the spatial variability of meteorological fields in the complex Alpine orography. For instance, patterns of orographic rainfall, wind speed and cold air pools are known to be correlated with particular terrain forms, e.g. convex/concave surfaces and upwind sides of mountain slopes.Kernel-based methods are employed to learn the nonlinear statistical dependence which links the multidimensional space of geographical and topographic explanatory variables to the variable of interest, that is the wind speed as measured at the weather stations or the occurrence of orographic rainfall patterns as extracted from sequences of radar images. Compared to low dimensional models integrating only the geographical coordinates, the proposed framework opens a way to regionalize meteorological variables which are multidimensional in nature and rarely show spatial auto-correlation in the original space making the use of classical geostatistics tangled.The challenges which are explored during the thesis are manifolds. First, the complexity of models is optimized to impose appropriate smoothness properties and reduce the impact of noisy measurements. Secondly, a multiple kernel extension of SVM is considered to select the multiscale features which explain most of the spatial variability of wind speed. Then, SVM target detection methods are implemented to describe the orographic conditions which cause persistent and stationary rainfall patterns. Finally, the optimal splitting of the data is studied to estimate realistic performances and confidence intervals characterizing the uncertainty of predictions.The resulting maps of average wind speeds find applications within renewable resources assessment and opens a route to decrease the temporal scale of analysis to meet hydrological requirements. Furthermore, the maps depicting the susceptibility to orographic rainfall enhancement can be used to improve current radar-based quantitative precipitation estimation and forecasting systems and to generate stochastic ensembles of precipitation fields conditioned upon the orography.

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Fresh basil (Ocimum basilicum L.) is used in food, phytotherapic industry, and in traditional therapeutic, due to its essential oil content and composition. Nevertheless basil can not be kept for long periods after harvest and its quality can be reduced. This work aimed to assess the influence of the season and harvest time in the postharvest conservation of basil stored for different periods. Basil was harvested at 8 am and 4 pm both in August/1999 and January/2000. Cuttings were conditioned in PVC packages and stored for 3, 6, and 9 days. During storage, chlorophyll content, essential oil content and composition were determined as well as microbiological analyses were carried out. Harvest season and the days of storage influenced the final content of essential oil. There was a linear decrease in the content of essential oil, in the chlorophyll content and in the number of mold and yeast colonies during storage. There was no effect of cropping season or harvest hour on essential oil composition, but the eugenol and linalool content increased during storage. Coliforms were under 0.3 MPN g-1 and the number of Staphylococcus aureus was under 1.0x10² UFC g-1.

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En nuestra sociedad la imagen que los ciudadanos tenemos de la política está fuertemente condicionada por cómo esta aparece en los medios de comunicación y, en particular, en los noticiarios televisivos. Este artículo, fruto de un proyecto de investigación I+D+I financiado por el Ministerio de Educación, Política Social y Deporte, analiza las noticias de temática política de ocho canales de televisión en España con el objetivo de comprobar cuál es la presencia de la política en los noticiarios, qué imagen se construye de la política en ellos. Además, propone una nueva metodología para establecer la calidad de las informaciones políticas en los noticiarios televisivos en España a través de la definición de los endo- y exo- equilibrios de los contenidos políticos de los noticiarios. Las principales conclusiones del artículo son que los noticiarios que construyen una imagen más equilibrada de la política son los de Televisión Española y Cuatro, mientras que los que construyen una imagen más desequilibrada son los de la Sexta y Canal 9. El porcentaje de noticias dedicadas a la política no depende ni de la titularidad (pública-privada), ni del ámbito de cobertura (estatal-autonómica) del canal. En cambio, sí podemos encontrar una relación en la suma de las noticias de política (political issues) y las de gobernanza (policy issues).

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The present study describes the postnatal expression of calbindin, calretinin and parvalbumin and glutamic acid decarboxylase (GAD) and microtubule-associated protein 2 (MAP2) in organotypic monocultures of rat dorsal thalamus compared to the thalamus in vivo. Cultures were maintained for up to 7 weeks. Cortex-conditioned medium improved the survival of thalamic cultures. MAP2-immunoreactive material was present in somata and dendrites of small and large-sized neurons throughout the cultures. Parvalbumin immunoreactivity was present in larger multipolar or bitufted neurons along the edge of a culture. These neurons also displayed strong parvalbumin mRNA and GAD mRNA expression, and GABA immunoreactivity. They likely corresponded to cells of the nucleus reticularis thalami. Parvalbumin mRNA, but neither parvalbumin protein nor GAD mRNA, was expressed in neurons with large somata within the explant. They likely represented relay cells. GAD mRNA, but not parvalbumin mRNA, was expressed in small neurons within the explants. Small neurons also displayed calbindin- and calretinin-immunoreactivity. The small neurons likely represented local circuit neurons. The time course of expression of the calcium-binding proteins revealed that all were present at birth with the predicted molecular weights. A low, but constant parvalbumin expression was observed in vitro without the developmental increase seen in vivo, which most likely represented parvalbumin from afferent sources. In contrast, the explantation transiently downregulated the calretinin and calbindin expression, but the neurons recovered the expression after 14 and 21 days, respectively. In conclusion, thalamic monocultures older than three weeks represent a stable neuronal network containing well differentiated neurons of the nucleus reticularis thalami, relay cells and local circuit neurons.

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Helping behavior is any intentional behavior that benefits another living being or group (Hogg & Vaughan, 2010). People tend to underestimate the probability that others will comply with their direct requests for help (Flynn & Lake, 2008). This implies that when they need help, they will assess the probability of getting it (De Paulo, 1982, cited in Flynn & Lake, 2008) and then they will tend to estimate one that is actually lower than the real chance, so they may not even consider worth asking for it. Existing explanations for this phenomenon attribute it to a mistaken cost computation by the help seeker, who will emphasize the instrumental cost of “saying yes”, ignoring that the potential helper also needs to take into account the social cost of saying “no”. And the truth is that, especially in face-to-face interactions, the discomfort caused by refusing to help can be very high. In short, help seekers tend to fail to realize that it might be more costly to refuse to comply with a help request rather than accepting. A similar effect has been observed when estimating trustworthiness of people. Fetchenhauer and Dunning (2010) showed that people also tend to underestimate it. This bias is reduced when, instead of asymmetric feedback (getting feedback only when deciding to trust the other person), symmetric feedback (always given) was provided. This cause could as well be applicable to help seeking as people only receive feedback when they actually make their request but not otherwise. Fazio, Shook, and Eiser (2004) studied something that could be reinforcing these outcomes: Learning asymmetries. By means of a computer game called BeanFest, they showed that people learn better about negatively valenced objects (beans in this case) than about positively valenced ones. This learning asymmetry esteemed from “information gain being contingent on approach behavior” (p. 293), which could be identified with what Fetchenhauer and Dunning mention as ‘asymmetric feedback’, and hence also with help requests. Fazio et al. also found a generalization asymmetry in favor of negative attitudes versus positive ones. They attributed it to a negativity bias that “weights resemblance to a known negative more heavily than resemblance to a positive” (p. 300). Applied to help seeking scenarios, this would mean that when facing an unknown situation, people would tend to generalize and infer that is more likely that they get a negative rather than a positive outcome from it, so, along with what it was said before, people will be more inclined to think that they will get a “no” when requesting help. Denrell and Le Mens (2011) present a different perspective when trying to explain judgment biases in general. They deviate from the classical inappropriate information processing (depicted among other by Fiske & Taylor, 2007, and Tversky & Kahneman, 1974) and explain this in terms of ‘adaptive sampling’. Adaptive sampling is a sampling mechanism in which the selection of sample items is conditioned by the values of the variable of interest previously observed (Thompson, 2011). Sampling adaptively allows individuals to safeguard themselves from experiences they went through once and turned out to lay negative outcomes. However, it also prevents them from giving a second chance to those experiences to get an updated outcome that could maybe turn into a positive one, a more positive one, or just one that regresses to the mean, whatever direction that implies. That, as Denrell and Le Mens (2011) explained, makes sense: If you go to a restaurant, and you did not like the food, you do not choose that restaurant again. This is what we think could be happening when asking for help: When we get a “no”, we stop asking. And here, we want to provide a complementary explanation for the underestimation of the probability that others comply with our direct help requests based on adaptive sampling. First, we will develop and explain a model that represents the theory. Later on, we will test it empirically by means of experiments, and will elaborate on the analysis of its results.

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Soil treated with self-cementing fly ash is increasingly being used in Iowa to stabilize fine-grained pavement subgrades, but without a complete understanding of the short- and long-term behavior. To develop a broader understanding of fly ash engineering properties, mixtures of five different soil types, ranging from ML to CH, and several different fly ash sources (including hydrated and conditioned fly ashes) were evaluated. Results show that soil compaction characteristics, compressive strength, wet/dry durability, freeze/thaw durability, hydration characteristics, rate of strength gain, and plasticity characteristics are all affected by the addition of fly ash. Specifically, Iowa selfcementing fly ashes are effective at stabilizing fine-grained Iowa soils for earthwork and paving operations; fly ash increases compacted dry density and reduces the optimum moisture content; strength gain in soil-fly ash mixtures depends on cure time and temperature, compaction energy, and compaction delay; sulfur contents can form expansive minerals in soil–fly ash mixtures, which severely reduces the long-term strength and durability; fly ash increases the California bearing ratio of fine-grained soil–fly ash effectively dries wet soils and provides an initial rapid strength gain; fly ash decreases swell potential of expansive soils; soil-fly ash mixtures cured below freezing temperatures and then soaked in water are highly susceptible to slaking and strength loss; soil stabilized with fly ash exhibits increased freeze-thaw durability; soil strength can be increased with the addition of hydrated fly ash and conditioned fly ash, but at higher rates and not as effectively as self-cementing fly ash. Based on the results of this study, three proposed specifications were developed for the use of self-cementing fly ash, hydrated fly ash, and conditioned fly ash. The specifications describe laboratory evaluation, field placement, moisture conditioning, compaction, quality control testing procedures, and basis of payment.

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Simulated-annealing-based conditional simulations provide a flexible means of quantitatively integrating diverse types of subsurface data. Although such techniques are being increasingly used in hydrocarbon reservoir characterization studies, their potential in environmental, engineering and hydrological investigations is still largely unexploited. Here, we introduce a novel simulated annealing (SA) algorithm geared towards the integration of high-resolution geophysical and hydrological data which, compared to more conventional approaches, provides significant advancements in the way that large-scale structural information in the geophysical data is accounted for. Model perturbations in the annealing procedure are made by drawing from a probability distribution for the target parameter conditioned to the geophysical data. This is the only place where geophysical information is utilized in our algorithm, which is in marked contrast to other approaches where model perturbations are made through the swapping of values in the simulation grid and agreement with soft data is enforced through a correlation coefficient constraint. Another major feature of our algorithm is the way in which available geostatistical information is utilized. Instead of constraining realizations to match a parametric target covariance model over a wide range of spatial lags, we constrain the realizations only at smaller lags where the available geophysical data cannot provide enough information. Thus we allow the larger-scale subsurface features resolved by the geophysical data to have much more due control on the output realizations. Further, since the only component of the SA objective function required in our approach is a covariance constraint at small lags, our method has improved convergence and computational efficiency over more traditional methods. Here, we present the results of applying our algorithm to the integration of porosity log and tomographic crosshole georadar data to generate stochastic realizations of the local-scale porosity structure. Our procedure is first tested on a synthetic data set, and then applied to data collected at the Boise Hydrogeophysical Research Site.

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The objective of this work was to evaluate the soybean inheritance of resistance to cyst nematode races 3 and 14. The following populations where evaluated: one population of recombinant inbred lines (RILs) [Hartwig (resistant) x Y23 (susceptible line)] for races 3, 14 and 9; one population of families F2:3 [M-SOY 8001 (resistant) x MB/BR 46 - Conquista (susceptible)] for race 3; and one population of families F2:3 [(S5995 (resistant) x BRSMG Renascença (susceptible)] for race 14. In RIL populations, four epistatic genes were identified which conditioned resistance to race 14, and three epistatic ones for resistance to races 3 and 9. The lack of one gene provided moderate resistance under all situations. The highest number of genes for resistance to race 14 points out that genes responsible for lower effects might be involved. In population F2:3 from M-SOY 8001 x MB/BR 46 - Conquista, one recessive gene for moderate resistance and two recessive genes complete resistance to race 3 were identified. Two recessive genes conditioning moderate resistance to race 14 were identified in population F2:3 from the crossing S5995 x BRSMG Renascença. These results will be useful in designing crossings, involving these parentals, with higher possibility to accumulating genes that provide resistance to several SCN races.

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The objective of this work was to determine the inheritance of cotton blue disease resistance by cotton plants. Populations derived from the CD 401 and Delta Opal resistant varieties were evaluated, through a greenhouse test with artificial inoculation by viruliferous aphids. Cotton blue disease resistance is conditioned by one dominant gene, both in CD 401 and Delta Opal varieties.