Periphyton light transmission relationships in Florida Bay and the Florida Keys, USA

Light transmission was measured through intact, submerged periphyton communities on artificial seagrass leaves. The periphyton communities were representative of the communities on Thalassia testudinum in subtropical seagrass meadows. The periphyton communities sampled were adhered carbonate sediment, coralline algae, and mixed algal assemblages. Crustose or film-forming periphyton assemblages were best prepared for light transmission measurements using artificial leaves fouled on both sides, while measurements through three-dimensional filamentous algae required the periphyton to be removed from one side. For one-sided samples, light transmission could be measured as the difference between fouled and reference artificial leaf samples. For two-sided samples, the percent periphyton light transmission to the leaf surface was calculated as the square root of the fraction of incident light. Linear, exponential, and hyperbolic equations were evaluated as descriptors of the periphyton dry weight versus light transmission relationship. Hyperbolic and exponential decay models were superior to linear models and exhibited the best fits for the observed relationships. Differences between the coefficients of determination (r2) of hyperbolic and exponential decay models were statistically insignificant. Constraining these models for 100% light transmission at zero periphyton load did not result in any statistically significant loss in the explanatory capability of the models. In most all cases, increasing model complexity using three-parameter models rather than two-parameter models did not significantly increase the amount of variation explained. Constrained two-parameter hyperbolic or exponential decay models were judged best for describing the periphyton dry weight versus light transmission relationship. On T. testudinum in Florida Bay and the Florida Keys, significant differences were not observed in the light transmission characteristics of the varying periphyton communities at different study sites. Using pooled data from the study sites, the hyperbolic decay coefficient for periphyton light transmission was estimated to be 4.36 mg dry wt. cm−2. For exponential models, the exponential decay coefficient was estimated to be 0.16 cm2 mg dry wt.−1.

Processed 2 minutes-averaged continuous VM-ADCP (vessel-mounted Acoustic Doppler Current Profiler) profiles during POLARSTERN cruise ANT-XXVIII/3

This data set was obtained during the R. V. POLARSTERN cruise ANT-XXVIII/3. Current velocities were measured nearly continuously when outside territorial waters along the ship's track with a vessel-mounted TRD Instruments' 153.6-kHz Ocean Surveyor ADCP. The transducers were located 11 m below the water line and were protected against ice floes by an acoustically transparent plastic window. The current measurements were made using a pulse of 2s and vertical bin length of 4 m. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Heading, roll and pitch data from the ship's gyro platforms and the navigation data were used to convert the ADCP velocities into earth coordinates. Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. The ADCP data were processed using the Ocean Surveyor Sputum Interpreter (OSSI) software developed by GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel. The averaging interval was set to 120 seconds. The reference layer was set to bins 5 to 16 avoiding near surface effects and biases near bin 1. Sampling interval setting: 2s; Number of bins: 80; Bin length: 4m; Pulse length: 4m; Blank beyond transmit length: 4m. Data processing setting: Top reference bin: 5; Bottom reference bin: 16; Average: 120s; Misalignment amplitude: 1.0276 +/- 0.1611, phase: 0.8100 +/- 0.7190. The precision for single ping and 4m cell size reported by TRDI is 0.30m/s. Resulting from the single ping precision and the number of pings (most of the time 36) during 120seconds the velocity accuracy is nearly 0.05m/s. (Velocity accuracy = single ping precision divided by square root of the number of pings).

Bayesian Inference in Large-scale Problems

Many modern applications fall into the category of "large-scale" statistical problems, in which both the number of observations n and the number of features or parameters p may be large. Many existing methods focus on point estimation, despite the continued relevance of uncertainty quantification in the sciences, where the number of parameters to estimate often exceeds the sample size, despite huge increases in the value of n typically seen in many fields. Thus, the tendency in some areas of industry to dispense with traditional statistical analysis on the basis that "n=all" is of little relevance outside of certain narrow applications. The main result of the Big Data revolution in most fields has instead been to make computation much harder without reducing the importance of uncertainty quantification. Bayesian methods excel at uncertainty quantification, but often scale poorly relative to alternatives. This conflict between the statistical advantages of Bayesian procedures and their substantial computational disadvantages is perhaps the greatest challenge facing modern Bayesian statistics, and is the primary motivation for the work presented here.

Two general strategies for scaling Bayesian inference are considered. The first is the development of methods that lend themselves to faster computation, and the second is design and characterization of computational algorithms that scale better in n or p. In the first instance, the focus is on joint inference outside of the standard problem of multivariate continuous data that has been a major focus of previous theoretical work in this area. In the second area, we pursue strategies for improving the speed of Markov chain Monte Carlo algorithms, and characterizing their performance in large-scale settings. Throughout, the focus is on rigorous theoretical evaluation combined with empirical demonstrations of performance and concordance with the theory.

One topic we consider is modeling the joint distribution of multivariate categorical data, often summarized in a contingency table. Contingency table analysis routinely relies on log-linear models, with latent structure analysis providing a common alternative. Latent structure models lead to a reduced rank tensor factorization of the probability mass function for multivariate categorical data, while log-linear models achieve dimensionality reduction through sparsity. Little is known about the relationship between these notions of dimensionality reduction in the two paradigms. In Chapter 2, we derive several results relating the support of a log-linear model to nonnegative ranks of the associated probability tensor. Motivated by these findings, we propose a new collapsed Tucker class of tensor decompositions, which bridge existing PARAFAC and Tucker decompositions, providing a more flexible framework for parsimoniously characterizing multivariate categorical data. Taking a Bayesian approach to inference, we illustrate empirical advantages of the new decompositions.

Latent class models for the joint distribution of multivariate categorical, such as the PARAFAC decomposition, data play an important role in the analysis of population structure. In this context, the number of latent classes is interpreted as the number of genetically distinct subpopulations of an organism, an important factor in the analysis of evolutionary processes and conservation status. Existing methods focus on point estimates of the number of subpopulations, and lack robust uncertainty quantification. Moreover, whether the number of latent classes in these models is even an identified parameter is an open question. In Chapter 3, we show that when the model is properly specified, the correct number of subpopulations can be recovered almost surely. We then propose an alternative method for estimating the number of latent subpopulations that provides good quantification of uncertainty, and provide a simple procedure for verifying that the proposed method is consistent for the number of subpopulations. The performance of the model in estimating the number of subpopulations and other common population structure inference problems is assessed in simulations and a real data application.

In contingency table analysis, sparse data is frequently encountered for even modest numbers of variables, resulting in non-existence of maximum likelihood estimates. A common solution is to obtain regularized estimates of the parameters of a log-linear model. Bayesian methods provide a coherent approach to regularization, but are often computationally intensive. Conjugate priors ease computational demands, but the conjugate Diaconis--Ylvisaker priors for the parameters of log-linear models do not give rise to closed form credible regions, complicating posterior inference. In Chapter 4 we derive the optimal Gaussian approximation to the posterior for log-linear models with Diaconis--Ylvisaker priors, and provide convergence rate and finite-sample bounds for the Kullback-Leibler divergence between the exact posterior and the optimal Gaussian approximation. We demonstrate empirically in simulations and a real data application that the approximation is highly accurate, even in relatively small samples. The proposed approximation provides a computationally scalable and principled approach to regularized estimation and approximate Bayesian inference for log-linear models.

Another challenging and somewhat non-standard joint modeling problem is inference on tail dependence in stochastic processes. In applications where extreme dependence is of interest, data are almost always time-indexed. Existing methods for inference and modeling in this setting often cluster extreme events or choose window sizes with the goal of preserving temporal information. In Chapter 5, we propose an alternative paradigm for inference on tail dependence in stochastic processes with arbitrary temporal dependence structure in the extremes, based on the idea that the information on strength of tail dependence and the temporal structure in this dependence are both encoded in waiting times between exceedances of high thresholds. We construct a class of time-indexed stochastic processes with tail dependence obtained by endowing the support points in de Haan's spectral representation of max-stable processes with velocities and lifetimes. We extend Smith's model to these max-stable velocity processes and obtain the distribution of waiting times between extreme events at multiple locations. Motivated by this result, a new definition of tail dependence is proposed that is a function of the distribution of waiting times between threshold exceedances, and an inferential framework is constructed for estimating the strength of extremal dependence and quantifying uncertainty in this paradigm. The method is applied to climatological, financial, and electrophysiology data.

The remainder of this thesis focuses on posterior computation by Markov chain Monte Carlo. The Markov Chain Monte Carlo method is the dominant paradigm for posterior computation in Bayesian analysis. It has long been common to control computation time by making approximations to the Markov transition kernel. Comparatively little attention has been paid to convergence and estimation error in these approximating Markov Chains. In Chapter 6, we propose a framework for assessing when to use approximations in MCMC algorithms, and how much error in the transition kernel should be tolerated to obtain optimal estimation performance with respect to a specified loss function and computational budget. The results require only ergodicity of the exact kernel and control of the kernel approximation accuracy. The theoretical framework is applied to approximations based on random subsets of data, low-rank approximations of Gaussian processes, and a novel approximating Markov chain for discrete mixture models.

Data augmentation Gibbs samplers are arguably the most popular class of algorithm for approximately sampling from the posterior distribution for the parameters of generalized linear models. The truncated Normal and Polya-Gamma data augmentation samplers are standard examples for probit and logit links, respectively. Motivated by an important problem in quantitative advertising, in Chapter 7 we consider the application of these algorithms to modeling rare events. We show that when the sample size is large but the observed number of successes is small, these data augmentation samplers mix very slowly, with a spectral gap that converges to zero at a rate at least proportional to the reciprocal of the square root of the sample size up to a log factor. In simulation studies, moderate sample sizes result in high autocorrelations and small effective sample sizes. Similar empirical results are observed for related data augmentation samplers for multinomial logit and probit models. When applied to a real quantitative advertising dataset, the data augmentation samplers mix very poorly. Conversely, Hamiltonian Monte Carlo and a type of independence chain Metropolis algorithm show good mixing on the same dataset.

Regulation and Social Media: Speed Bumps or the Code 2.0

“Governments of the Industrial World, you weary giants of flesh and steel, I come from Cyberspace, the new home of Mind. On behalf of the future, I ask you of the past to leave us alone. You are not welcome among us. You have no sovereignty where we gather (…)” (Barlow 1996). Barlow’s declaration of independence of February 8 1996 was an expression of the libertarian approaches that have run through the Internet since its inception, and is the root of the misapprehension that the internet is somehow unregulated by state sovereignty. But why was it published that day? What happened?

Antibioterapia profilática na extração de terceiros molares inclusos

Contextualização: A extração de terceiros molares é um dos atos clínicos mais realizados em Cirurgia Oral. A presença de um terceiro molar incluso pode estar na origem de uma variedade de complicações. Pericoronarite, cáries dentárias e doença periodontal são algumas das indicações para extração de terceiros molares inclusos. A antibioterapia profilática para a prevenção de complicações pós-operatórias como a alveolite e a infeção do local cirúrgico é ainda um assunto que gera alguma controvérsia, particularmente em indivíduos saudáveis. Objetivo: Estudar a necessidade da antibioterapia profilática na extração de terceiros molares e os seus potenciais riscos e benefícios. Materiais e Métodos: Foi efetuada uma pesquisa bibliográfica na base de dados da MEDLINE/PubMed e no motor de busca da ResearchGate. Adicionalmente, foram coletados artigos de interesse da bibliografia recolhida e consultados alguns livros de forma a complementar a informação obtida. Conclusão: Não existe um consenso no que toca à profilaxia antibiótica na extração de terceiros molares. Os médicos dentistas devem, por isso, efetuar uma avaliação cuidada do estado clínico de cada paciente de forma a tomar uma decisão consciente relativamente à administração de antibióticos com o intuito de prevenir complicações pós-operatórias da cirurgia de terceiros molares inclusos.

Avaliação das atividades antioxidante, anticoagulante e antiproliferativa de extratos aquosos de marsdenia megalantha

The species of the genus Marsdenia, Apocynaceae, are widely used in folk medicine of several countries. In Brazil is found several species belonging to this genus. The in vitro antioxidant, anticoagulant and antiproliferative activities were evaluated to aqueous extracts of stalk, leaf and root of Marsdenia megalantha. In the total antioxidant capacity assay (expressed as ascorbic acid equivalents) the stalk extract showed 76.0 mg/g, while leaf and root extracts 141.3 mg/g and 57.0 mg/g, respectively. The stalk and leaf extracts showed chelating activity around 40% at 1.5 mg/mL, while root extract, at the same concentration showed, 17%. Only the leaf extract showed a significant ability in superoxide scavenging (80% at 0.8 mg/mL). Any extract was able in scavenge hydroxyl, as well anticoagulant activity. The antiproliferative activity of the extracts was evaluated against HeLa tumor cell line. The extracts inhibited in a dose-dependent manner the cell growth. However, the leaf extract showed 80% of inhibition at 1.0 mg/mL, while stalk and root extracts inhibited 63% and 30%, respectively. To assess the mechanism of cell death caused by the leaf extract in HeLa, was performed flow cytometry and western blot. The results show that leaf extract induces cell death by apoptosis through an activation caspase-independent pathway. These data indicate that stalk and leaf extracts obtained have potential to be used as antioxidants and anticancer drugs

Trace Oblivious Program Execution

The big data era has dramatically transformed our lives; however, security incidents such as data breaches can put sensitive data (e.g. photos, identities, genomes) at risk. To protect users' data privacy, there is a growing interest in building secure cloud computing systems, which keep sensitive data inputs hidden, even from computation providers. Conceptually, secure cloud computing systems leverage cryptographic techniques (e.g., secure multiparty computation) and trusted hardware (e.g. secure processors) to instantiate a “secure” abstract machine consisting of a CPU and encrypted memory, so that an adversary cannot learn information through either the computation within the CPU or the data in the memory. Unfortunately, evidence has shown that side channels (e.g. memory accesses, timing, and termination) in such a “secure” abstract machine may potentially leak highly sensitive information, including cryptographic keys that form the root of trust for the secure systems. This thesis broadly expands the investigation of a research direction called trace oblivious computation, where programming language techniques are employed to prevent side channel information leakage. We demonstrate the feasibility of trace oblivious computation, by formalizing and building several systems, including GhostRider, which is a hardware-software co-design to provide a hardware-based trace oblivious computing solution, SCVM, which is an automatic RAM-model secure computation system, and ObliVM, which is a programming framework to facilitate programmers to develop applications. All of these systems enjoy formal security guarantees while demonstrating a better performance than prior systems, by one to several orders of magnitude.

O burnout dos professores do 1º ciclo: sua influência no grau de sucesso da relação educativa

Dissertação de mest. em Observação e Análise da Relação Educativa, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, Escola Superior de Educação de Beja, 2004

Ontologia do espaço : critica da critica da entificação social do ser enquanto pressuposto a uma teoria espacial interpenetrada a “ontologia do ser social”, de Gyorgy Lukacs

Tese (doutorado)—Universidade de Brasília, Instituto de Ciências Humanas, Departamento de Geografia, Programa de Pós Graduação em Geografia, 2015.

Estructuración de los procesos y la función de recursos humanos alineados con el direccionamiento estratégico en Kathmandu restaurante

El direccionamiento estratégico está destinado para que las organizaciones cumplan con sus metas y tengan perdurabilidad en el tiempo; es una forma metodológica en la cual se establecen La formulación y el planteamiento estratégicos, se identifican las brechas entre el sueño de la empresa y su realidad, para desplegar la plata forma estratégica. Kathmandu es un restaurante conocido por su diversidad cultural gastronómica, ubicado en Usaquén al Norte de Bogotá. Su serviespacio reúne los sabores, aromas, decoración y elixires del oriente, su música incluye una fusión de sonidos que permite materializar la experiencia que quiere brindar para satisfacer las expectativas de sus comensales y brindarles una experiencia diferente. Los fines de semana presentan shows de danza de vientre, para acompañar la comida y el rato que dispongan disfrutar en este lugar. Este restaurante tiene un diferenciador en su servicio, que le ofrece una ventaja competitiva, Kathmandu brinda la posibilidad de que además del deleite de sus platos, los clientes puedan adquirir toda la decoración de este lugar, estas son artesanías originales traídas de Nepal, India, Tailandia, Indonesia y sus alrededores. Otro atrayente de este restaurante son los cocteles alusivos a las regiones del oriente, y la narguile que ofrece a sus clientes. Al pasar de los años, ciertos inconvenientes presentados en el negocio, con los clientes, el personal y las utilidades, han hecho que los gerentes se preocupen por encontrar la raíz del problema y buscar la solución óptima para perdurar en el tiempo con los mejores beneficios posibles, pues las estrategias que estaban implementando no van acorde a su misión y visión, por lo que es necesario realizar una restructuración de ciertos procesos enfocados al direccionamiento estratégico. Se realizó un análisis en una reunión junto a las directivas sobre cada área de la organización donde se evidenciaron problemas que deben ser tratados para hacer de Kathmandu una empresa más eficiente, eficaz y productiva. Y prepararla para afrontar los cambios que el tiempo le presente, en cuanto a preferencias de los clientes, competencia, entre otras, bien sean a corto, mediano o largo plazo. Algunos de los principales problemas encontrados son: el servicio al cliente, la selección adecuada de personal y capacitación de este, la falta de manejo de un conducto jerárquico y repartición de funciones entre los colaboradores, el informe adecuado sobre la inconformidad de los clientes con su solución, el manual de funciones, el manejo de inventarios y su rotación, verificación de calidad de los productos, manejo de proveedores, entre otros. Kathmandu, a pesar de tener problemas evidentes, es una empresa que por los servicios y productos que ofrece sigue generando buenas utilidades, por esto los gerentes no le habían prestado la debida atención a estos inconvenientes que están poniendo en juego la perdurabilidad de la empresa y que afecta la optimización de las utilidades y minimización de costes sin afectar la calidad brindada al cliente. El objetivo de este restaurante es que el área de recursos humanos sea restructurada en cada uno de los procesos para articularla al direccionamiento estratégico de Kathmandu; pues en esta área se generan la mayoría de los problemas presentados anteriormente. El presente proyecto pretende diseñar el direccionamiento estratégico del área recursos humanos del restaurante Kathmandu para superar la problemática identificada y garantizar la efectividad de sus procesos y adicionalmente evidenciar la creencia de éxito sostenido que se manejaba en este lugar. Este proyecto se realizara con una metodología mixta, para tener aspectos de la investigación cuantitativa y cualitativa y poder realizar una investigación más completa que lleve a una óptima solución del problema abarcado. Se utilizara el direccionamiento estratégico como herramienta para replantear el área de recursos humanos de la organización y alcanzar la efectividad en sus procesos.

Influencia del líder en el clima organizacional

En este trabajo se evidenciará cómo el liderazgo y el clima organizacional, que son dos componentes importantes dentro de una organización, están estrechamente ligados de tal forma que uno se ve afectado por el otro bien sea de manera positiva o negativa. Así de esta manera quisimos evidenciar este lazo entre liderazgo y clima organizacional con base en el liderazgo auténtico, el cual surge como una nueva teoría alrededor de varios componentes esenciales en el líder: conciencia de sí mismo, transparencia en las relaciones, procesamiento equilibrado y moral internalizada (Walumbwa, Avolio, Gardner, Wernsing, Peterson, 2008). En la misión empresarial realizada en la ciudad de Nueva York desarrollamos nuestro trabajo de campo. Visitamos empresas de reconocimiento a nivel mundial tales como: Google, Bloomberg, N&C Company y Procolombia. En estas empresas investigamos por medio de encuestas qué estilo de liderazgo existía y lo contrastamos con el clima organizacional. Para nosotros la experiencia fue muy enriquecedora pues todas las organizaciones nos brindaron información muy importante para el desarrollo de la investigación. Encontramos que las empresas siguen un patrón de comportamiento similar: el trabajo en equipo, la innovación, la autonomía, la comunicación, la autoevaluación y la transparencia, fueron elementos que evidenciamos durante la misión empresarial realizada.

Actitudes de un grupo de directivos de empresa hacia la integración laboral de personas en proceso de reintegración en Colombia

Colombia atraviesa un proceso de desmovilización y una de las metas es la reintegración laboral, entendida como el proceso a través del cual las personas que han hecho parte de un grupo armado ilegal obtienen un empleo y se insertan definitivamente a la sociedad. El presente estudio tiene como objetivo fundamental comprender las actitudes de un grupo de tres directivos hacia la vinculación laboral de las personas en proceso de reintegración laboral (PPR), mediante un diseño cualitativo. Para ello, se llevó a cabo una serie de entrevistas semiestructuradas a una muestra de tres directivos del sector público y privado. La información obtenida se analizó mediante un proceso de codificación axial. Los resultados obtenidos evidencian que las actitudes de los tres empresarios frente a la contratación de personas en proceso de reintegración laboral, pueden ser positivas o negativas. Así mismo, una de las actitudes predominantes, son la evaluación de creencias y prejuicios de los empresarios frente al proceso de integración laboral, estos son: la incertidumbre frente al desempeño laboral del PPR, la falta de dedicación por parte del PPR, los posibles conflictos laborales y la dificultad de relacionamiento del PPR. En conclusión, el modelo del comportamiento organizacional juega un papel muy importante, dado que abarca los elementos que influyen y determinan la construcción de las actitudes. Estas guían la evaluación de conductas que pueden ser a favor o en contra, de diversos ámbitos del proceso de contratación de personas desmovilizadas.

Addressing challenges in heterogeneous embedded systems programming: security and performance

Embedded systems are increasingly integral to daily life, improving and facilitating the efficiency of modern Cyber-Physical Systems which provide access to sensor data, and actuators. As modern architectures become increasingly complex and heterogeneous, their optimization becomes a challenging task. Additionally, ensuring platform security is important to avoid harm to individuals and assets. This study primarily addresses challenges in contemporary Embedded Systems, focusing on platform optimization and security enforcement. The initial section of this study delves into the application of machine learning methods to efficiently determine the optimal number of cores for a parallel RISC-V cluster to minimize energy consumption using static source code analysis. Results demonstrate that automated platform configuration is not only viable but also that there is a moderate performance trade-off when relying solely on static features. The second part focuses on addressing the problem of heterogeneous device mapping, which involves assigning tasks to the most suitable computational device in a heterogeneous platform for optimal runtime. The contribution of this section lies in the introduction of novel pre-processing techniques, along with a training framework called Siamese Networks, that enhances the classification performance of DeepLLVM, an advanced approach for task mapping. Importantly, these proposed approaches are independent from the specific deep-learning model used. Finally, this research work focuses on addressing issues concerning the binary exploitation of software running in modern Embedded Systems. It proposes an architecture to implement Control-Flow Integrity in embedded platforms with a Root-of-Trust, aiming to enhance security guarantees with limited hardware modifications. The approach involves enhancing the architecture of a modern RISC-V platform for autonomous vehicles by implementing a side-channel communication mechanism that relays control-flow changes executed by the process running on the host core to the Root-of-Trust. This approach has limited impact on performance and it is effective in enhancing the security of embedded platforms.

Evaluation Of The Radiopacity Of Esthetic Root Canal Posts.

The radiopacity of esthetic root canal posts may impair the assessment of their fit to the root canal when using radiographic images. This study determined in vitro the radiographic density of esthetic root canal posts using digital images. Thirty-six roots of human maxillary canines were assigned to six groups (N=6 per group): Reforpost (RP); Aestheti-Plus (AP); Reforpost MIX (RPM); D.T. Light Post (LP); Reforpost Radiopaque (RPR); and White Post DC (WP). Standardized digital images of the posts were obtained in different conditions: outside the root canal, inside the canal before and after cementation using luting material, and with a tissue simulator. Analysis of variance was used to compare the radiopacity mean values among the posts outside the root canal and among the posts under the other conditions, and the t unpaired test to compare the radiopacity between the posts and the dentin, and between the posts and the root canal space. There was no statistically significant difference in radiopacity between RP and RPM, and LP and WP. AP posts showed radiopacity values significantly lower than those for dentin. No statistically significant difference was found between posts (RP and AP) and the root canal space. A statistically significant difference was observed between the luted and non-luted posts; additionally, luted posts with and without tissue simulator showed no significant differences. Most of the cement-luted posts analyzed in this study were distinguishable from the density of adjacent dentin surfaces, allowing radiographic confirmation of the fit of the post in the canal. The success of using esthetic root canal posts depends mainly on the fit of the post within the canal.[1] The radiopacity of a post allows for radiographic imaging to be used to determine the fit, an important factor in a clinical perspective.

Utilization Of (15)no3 (-) By Nodulated Soybean Plants Under Conditions Of Root Hypoxia.

Waterlogging of soils is common in nature. The low availability of oxygen under these conditions leads to hypoxia of the root system impairing the development and productivity of the plant. The presence of nitrate under flooding conditions is regarded as being beneficial towards tolerance to this stress. However, it is not known how nodulated soybean plants, cultivated in the absence of nitrate and therefore not metabolically adapted to this compound, would respond to nitrate under root hypoxia in comparison with non-nodulated plants grown on nitrate. A study was conducted with (15)N labelled nitrate supplied on waterlogging for a period of 48 h using both nodulated and non-nodulated plants of different physiological ages. Enrichment of N was found in roots and leaves with incorporation of the isotope in amino acids, although to a much smaller degree under hypoxia than normoxia. This demonstrates that nitrate is taken up under hypoxic conditions and assimilated into amino acids, although to a much lesser extent than for normoxia. The similar response obtained with nodulated and non-nodulated plants indicates the rapid metabolic adaptation of nodulated plants to the presence of nitrate under hypoxia. Enrichment of N in nodules was very much weaker with a distinct enrichment pattern of amino acids (especially asparagine) suggesting that labelling arose from a tissue source external to the nodule rather than through assimilation in the nodule itself.