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Sample records for modeling gross primary

  1. MODELING AND FORECASTING THE GROSS ENROLLMENT RATIO IN ROMANIAN PRIMARY SCHOOL

    Directory of Open Access Journals (Sweden)

    MARINOIU CRISTIAN

    2014-06-01

    Full Text Available The gross enrollment ratio in primary school is one of the basic indicators used in order to evaluate the proposed objectives of the educational system. Knowing its evolution allows a more rigorous substantiation of the strategies and of the human resources politics not only from the educational field but also from the economic one. In this paper we propose an econometric model in order to describe the gross enrollment ratio in Romanian primary school and we achieve its prediction for the next years, having as a guide the Box-Jenkins’s methodology. The obtained results indicate the continuous decrease of this rate for the next years.

  2. Spatial extrapolation of light use efficiency model parameters to predict gross primary production

    Directory of Open Access Journals (Sweden)

    Karsten Schulz

    2011-12-01

    Full Text Available To capture the spatial and temporal variability of the gross primary production as a key component of the global carbon cycle, the light use efficiency modeling approach in combination with remote sensing data has shown to be well suited. Typically, the model parameters, such as the maximum light use efficiency, are either set to a universal constant or to land class dependent values stored in look-up tables. In this study, we employ the machine learning technique support vector regression to explicitly relate the model parameters of a light use efficiency model calibrated at several FLUXNET sites to site-specific characteristics obtained by meteorological measurements, ecological estimations and remote sensing data. A feature selection algorithm extracts the relevant site characteristics in a cross-validation, and leads to an individual set of characteristic attributes for each parameter. With this set of attributes, the model parameters can be estimated at sites where a parameter calibration is not possible due to the absence of eddy covariance flux measurement data. This will finally allow a spatially continuous model application. The performance of the spatial extrapolation scheme is evaluated with a cross-validation approach, which shows the methodology to be well suited to recapture the variability of gross primary production across the study sites.

  3. Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production

    Directory of Open Access Journals (Sweden)

    Zaichun Zhu

    2013-03-01

    Full Text Available Projected changes in the frequency and severity of droughts as a result of increase in greenhouse gases have a significant impact on the role of vegetation in regulating the global carbon cycle. Drought effect on vegetation Gross Primary Production (GPP is usually modeled as a function of Vapor Pressure Deficit (VPD and/or soil moisture. Climate projections suggest a strong likelihood of increasing trend in VPD, while regional changes in precipitation are less certain. This difference in projections between VPD and precipitation can cause considerable discrepancies in the predictions of vegetation behavior depending on how ecosystem models represent the drought effect. In this study, we scrutinized the model responses to drought using the 30-year record of Global Inventory Modeling and Mapping Studies (GIMMS 3g Normalized Difference Vegetation Index (NDVI dataset. A diagnostic ecosystem model, Terrestrial Observation and Prediction System (TOPS, was used to estimate global GPP from 1982 to 2009 under nine different experimental simulations. The control run of global GPP increased until 2000, but stayed constant after 2000. Among the simulations with single climate constraint (temperature, VPD, rainfall and solar radiation, only the VPD-driven simulation showed a decrease in 2000s, while the other scenarios simulated an increase in GPP. The diverging responses in 2000s can be attributed to the difference in the representation of the impact of water stress on vegetation in models, i.e., using VPD and/or precipitation. Spatial map of trend in simulated GPP using GIMMS 3g data is consistent with the GPP driven by soil moisture than the GPP driven by VPD, confirming the need for a soil moisture constraint in modeling global GPP.

  4. Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systems

    KAUST Repository

    Houborg, Rasmus

    2015-05-05

    Leaf chlorophyll content (Chll) may serve as an observational proxy for the maximum rate of carboxylation (Vmax), which describes leaf photosynthetic capacity and represents the single most important control on modeled leaf photosynthesis within most Terrestrial Biosphere Models (TBMs). The parameterization of Vmax is associated with great uncertainty as it can vary significantly between plants and in response to changes in leaf nitrogen (N) availability, plant phenology and environmental conditions. Houborg et al. (2013) outlined a semi-mechanistic relationship between V max 25 (Vmax normalized to 25 °C) and Chll based on inter-linkages between V max 25 , Rubisco enzyme kinetics, N and Chll. Here, these relationships are parameterized for a wider range of important agricultural crops and embedded within the leaf photosynthesis-conductance scheme of the Community Land Model (CLM), bypassing the questionable use of temporally invariant and broadly defined plant functional type (PFT) specific V max 25 values. In this study, the new Chll constrained version of CLM is refined with an updated parameterization scheme for specific application to soybean and maize. The benefit of using in-situ measured and satellite retrieved Chll for constraining model simulations of Gross Primary Productivity (GPP) is evaluated over fields in central Nebraska, U.S.A between 2001 and 2005. Landsat-based Chll time-series records derived from the Regularized Canopy Reflectance model (REGFLEC) are used as forcing to the CLM. Validation of simulated GPP against 15 site-years of flux tower observations demonstrate the utility of Chll as a model constraint, with the coefficient of efficiency increasing from 0.91 to 0.94 and from 0.87 to 0.91 for maize and soybean, respectively. Model performances particularly improve during the late reproductive and senescence stage, where the largest temporal variations in Chll (averaging 35–55 μg cm−2 for maize and 20–35 μg cm−2 for soybean) are

  5. Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systems

    Science.gov (United States)

    Houborg, Rasmus; F. McCabe, Matthew; Cescatti, Alessandro; A. Gitelson, Anatoly

    2015-12-01

    Leaf chlorophyll content (Chll) may serve as an observational proxy for the maximum rate of carboxylation (Vmax), which describes leaf photosynthetic capacity and represents the single most important control on modeled leaf photosynthesis within most Terrestrial Biosphere Models (TBMs). The parameterization of Vmax is associated with great uncertainty as it can vary significantly between plants and in response to changes in leaf nitrogen (N) availability, plant phenology and environmental conditions. Houborg et al. (2013) outlined a semi-mechanistic relationship between Vmax25 (Vmax normalized to 25 °C) and Chll based on inter-linkages between Vmax25, Rubisco enzyme kinetics, N and Chll. Here, these relationships are parameterized for a wider range of important agricultural crops and embedded within the leaf photosynthesis-conductance scheme of the Community Land Model (CLM), bypassing the questionable use of temporally invariant and broadly defined plant functional type (PFT) specific Vmax25 values. In this study, the new Chll constrained version of CLM is refined with an updated parameterization scheme for specific application to soybean and maize. The benefit of using in-situ measured and satellite retrieved Chll for constraining model simulations of Gross Primary Productivity (GPP) is evaluated over fields in central Nebraska, U.S.A between 2001 and 2005. Landsat-based Chll time-series records derived from the Regularized Canopy Reflectance model (REGFLEC) are used as forcing to the CLM. Validation of simulated GPP against 15 site-years of flux tower observations demonstrate the utility of Chll as a model constraint, with the coefficient of efficiency increasing from 0.91 to 0.94 and from 0.87 to 0.91 for maize and soybean, respectively. Model performances particularly improve during the late reproductive and senescence stage, where the largest temporal variations in Chll (averaging 35-55 μg cm-2 for maize and 20-35 μg cm-2 for soybean) are observed. While

  6. Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)

    NARCIS (Netherlands)

    Damm, A.; Elbers, J.A.; Erler, A.; Giolis, B.; Hamdi, K.; Hutjes, R.W.A.; Kosvancova, M.; Meroni, M.; Migliettas, F.; Moersch, A.; Moreno, J.; Schickling, A.; Sonnenschein, R.; Udelhoven, T.; Linden, van der S.; Hostert, P.; Rascher, U.

    2010-01-01

    Terrestrial gross primary production (GPP) is an important parameter to explore and quantify carbon fixation by plant ecosystems at various scales. Remote sensing (RS) offers a unique possibility to investigate GPP in a spatially explicit fashion; however, budgeting of terrestrial carbon cycles base

  7. A simplified gross primary production and evapotranspiration model for boreal coniferous forests - is a generic calibration sufficient?

    Science.gov (United States)

    Minunno, F.; Peltoniemi, M.; Launiainen, S.; Aurela, M.; Lindroth, A.; Lohila, A.; Mammarella, I.; Minkkinen, K.; Mäkelä, A.

    2015-07-01

    The problem of model complexity has been lively debated in environmental sciences as well as in the forest modelling community. Simple models are less input demanding and their calibration involves a lower number of parameters, but they might be suitable only at local scale. In this work we calibrated a simplified ecosystem process model (PRELES) to data from multiple sites and we tested if PRELES can be used at regional scale to estimate the carbon and water fluxes of Boreal conifer forests. We compared a multi-site (M-S) with site-specific (S-S) calibrations. Model calibrations and evaluations were carried out by the means of the Bayesian method; Bayesian calibration (BC) and Bayesian model comparison (BMC) were used to quantify the uncertainty in model parameters and model structure. To evaluate model performances BMC results were combined with more classical analysis of model-data mismatch (M-DM). Evapotranspiration (ET) and gross primary production (GPP) measurements collected in 10 sites of Finland and Sweden were used in the study. Calibration results showed that similar estimates were obtained for the parameters at which model outputs are most sensitive. No significant differences were encountered in the predictions of the multi-site and site-specific versions of PRELES with exception of a site with agricultural history (Alkkia). Although PRELES predicted GPP better than evapotranspiration, we concluded that the model can be reliably used at regional scale to simulate carbon and water fluxes of Boreal forests. Our analyses underlined also the importance of using long and carefully collected flux datasets in model calibration. In fact, even a single site can provide model calibrations that can be applied at a wider spatial scale, since it covers a wide range of variability in climatic conditions.

  8. Effects of the partitioning of diffuse and direct solar radiation on satellite-based modeling of crop gross primary production

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    Xin, Qinchuan; Gong, Peng; Suyker, Andrew E.; Si, Yali

    2016-08-01

    Modeling crop gross primary production (GPP) is critical to understanding the carbon dynamics of agro-ecosystems. Satellite-based studies have widely used production efficiency models (PEM) to estimate cropland GPP, wherein light use efficiency (LUE) is a key model parameter. One factor that has not been well considered in many PEMs is that canopy LUE could vary with illumination conditions. This study investigates how the partitioning of diffuse and direct solar radiation influences cropland GPP using both flux tower and satellite data. The field-measured hourly LUE under cloudy conditions was 1.50 and 1.70 times higher than that under near clear-sky conditions for irrigated corn and soybean, respectively. We applied a two-leaf model to simulate the canopy radiative transfer process, where modeled photosynthetically active radiation (PAR) absorbed by canopy agreed with tower measurements (R2 = 0.959 and 0.914 for corn and soybean, respectively). Derived canopy LUE became similar after accounting for the impact of light saturation on leaf photosynthetic capacity under varied illumination conditions. The impacts of solar radiation partitioning on satellite-based modeling of crop GPP was examined using vegetation indices (VI) derived from MODIS data. Consistent with the field modeling results, the relationship between daily GPP and PAR × VI under varied illumination conditions showed different patterns in terms of regression slope and intercept. We proposed a function to correct the influences of direct and diffuse radiation partitioning and the explained variance of flux tower GPP increased in all experiments. Our results suggest that the non-linear response of leaf photosynthesis to light absorption contributes to higher canopy LUE on cloudy days than on clear days. We conclude that accounting for the impacts of solar radiation partitioning is necessary for modeling crop GPP on a daily or shorter basis.

  9. Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes

    Science.gov (United States)

    Yuan, W.; Liu, S.; Zhou, G.; Tieszen, L.L.; Baldocchi, D.; Bernhofer, C.; Gholz, H.; Goldstein, Allen H.; Goulden, M.L.; Hollinger, D.Y.; Hu, Y.; Law, B.E.; Stoy, Paul C.; Vesala, T.; Wofsy, S.C.

    2007-01-01

    The quantitative simulation of gross primary production (GPP) at various spatial and temporal scales has been a major challenge in quantifying the global carbon cycle. We developed a light use efficiency (LUE) daily GPP model from eddy covariance (EC) measurements. The model, called EC-LUE, is driven by only four variables: normalized difference vegetation index (NDVI), photosynthetically active radiation (PAR), air temperature, and the Bowen ratio of sensible to latent heat flux (used to calculate moisture stress). The EC-LUE model relies on two assumptions: First, that the fraction of absorbed PAR (fPAR) is a linear function of NDVI; Second, that the realized light use efficiency, calculated from a biome-independent invariant potential LUE, is controlled by air temperature or soil moisture, whichever is most limiting. The EC-LUE model was calibrated and validated using 24,349 daily GPP estimates derived from 28 eddy covariance flux towers from the AmeriFlux and EuroFlux networks, covering a variety of forests, grasslands and savannas. The model explained 85% and 77% of the observed variations of daily GPP for all the calibration and validation sites, respectively. A comparison with GPP calculated from the Moderate Resolution Imaging Spectroradiometer (MODIS) indicated that the EC-LUE model predicted GPP that better matched tower data across these sites. The realized LUE was predominantly controlled by moisture conditions throughout the growing season, and controlled by temperature only at the beginning and end of the growing season. The EC-LUE model is an alternative approach that makes it possible to map daily GPP over large areas because (1) the potential LUE is invariant across various land cover types and (2) all driving forces of the model can be derived from remote sensing data or existing climate observation networks.

  10. Modeling gross primary production of a temperate grassland ecosystem in Inner Mongolia, China, using MODIS imagery and climate data

    Institute of Scientific and Technical Information of China (English)

    WU WeiXing; WANG ShaoQiang; XIAO XiangMing; YU GuiRui; FU YuLing; HAO YanBin

    2008-01-01

    Carbon fluxes in temperate grassland ecosystems are characterized by large inter-annual variations due to fluctuations in precipitation and land water availability. Since an eddy flux tower has been in operation in the Xilin Gol grassland, which belongs to typical temperate grassland in North China, in this study, observed eddy covariance flux data were used to critically evaluate the biophysical performance of different remote sensing vegetation indices in relation to carbon fluxes. Furthermore,vegetation photosynthesis model (VPM) was introduced to estimate gross primary production (GPP+) of the grassland ecosystem for assessing its dependability. As defined by the input variables of VPM,Moderate Resolution Imaging Spectroradimeter (MODIS) and standard data product MOD09A1 were downloaded for calculating enhanced vegetation index (EVI) and land surface water index (LSWl).Measured air temperature (Ta) and photosynthetically active radiation (PAR) data were also included for model simulating. Field CO2 flux data, during the period from May, 2003 to September, 2005, were used to estimate the "observed" GPP (GPPobs) for validation. The seasonal dynamics of GPP predicted from VPM (GPPVPM) was compared quite well (R2=0.903, N=111, p<0.0001) with the observed GPP. The aggregate GPPVPM for the study period was 641.5 g C·m-2, representing a ~6% over-estimation, compared with GPPobs. Additionally, GPP predicted from other two typical production efficiency model (PEM)represents either higher overestimation or lower underestimation to GPPobs. Results of this study demonstrate that VPM has potential for estimating site-level or regional grassland GPP, and might be an effective tool for scaling-up carbon fluxes.

  11. Climate-driven uncertainties in modeling terrestrial gross primary production: a site level to global-scale analysis.

    Science.gov (United States)

    Barman, Rahul; Jain, Atul K; Liang, Miaoling

    2014-05-01

    We used a land surface model to quantify the causes and extents of biases in terrestrial gross primary production (GPP) due to the use of meteorological reanalysis datasets. We first calibrated the model using meteorology and eddy covariance data from 25 flux tower sites ranging from the tropics to the northern high latitudes and subsequently repeated the site simulations using two reanalysis datasets: NCEP/NCAR and CRUNCEP. The results show that at most sites, the reanalysis-driven GPP bias was significantly positive with respect to the observed meteorology-driven simulations. Notably, the absolute GPP bias was highest at the tropical evergreen tree sites, averaging up to ca. 0.45 kg C m(-2)  yr(-1) across sites (ca. 15% of site level GPP). At the northern mid-/high-latitude broadleaf deciduous and the needleleaf evergreen tree sites, the corresponding annual GPP biases were up to 20%. For the nontree sites, average annual biases of up to ca. 20-30% were simulated within savanna, grassland, and shrubland vegetation types. At the tree sites, the biases in short-wave radiation and humidity strongly influenced the GPP biases, while the nontree sites were more affected by biases in factors controlling water stress (precipitation, humidity, and air temperature). In this study, we also discuss the influence of seasonal patterns of meteorological biases on GPP. Finally, using model simulations for the global land surface, we discuss the potential impacts of site-level reanalysis-driven biases on the global estimates of GPP. In a broader context, our results can have important consequences on other terrestrial ecosystem fluxes (e.g., net primary production, net ecosystem production, energy/water fluxes) and reservoirs (e.g., soil carbon stocks). In a complementary study (Barman et al., ), we extend the present analysis for latent and sensible heat fluxes, thus consistently integrating the analysis of climate-driven uncertainties in carbon, energy, and water fluxes

  12. Global evaluation of gross primary productivity in the JULES land surface model v3.4.1

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    D. Slevin

    2017-07-01

    Full Text Available This study evaluates the ability of the JULES land surface model (LSM to simulate gross primary productivity (GPP on regional and global scales for 2001–2010. Model simulations, performed at various spatial resolutions and driven with a variety of meteorological datasets (WFDEI-GPCC, WFDEI-CRU and PRINCETON, were compared to the MODIS GPP product, spatially gridded estimates of upscaled GPP from the FLUXNET network (FLUXNET-MTE and the CARDAMOM terrestrial carbon cycle analysis. Firstly, when JULES was driven with the WFDEI-GPCC dataset (at 0. 5° × 0. 5° spatial resolution, the annual average global GPP simulated by JULES for 2001–2010 was higher than the observation-based estimates (MODIS and FLUXNET-MTE, by 25 and 8 %, respectively, and CARDAMOM estimates by 23 %. JULES was able to simulate the standard deviation of monthly GPP fluxes compared to CARDAMOM and the observation-based estimates on global scales. Secondly, GPP simulated by JULES for various biomes (forests, grasslands and shrubs on global and regional scales were compared. Differences among JULES, MODIS, FLUXNET-MTE and CARDAMOM on global scales were due to differences in simulated GPP in the tropics. Thirdly, it was shown that spatial resolution (0. 5° × 0. 5°, 1° × 1° and 2° × 2° had little impact on simulated GPP on these large scales, with global GPP ranging from 140 to 142 PgC year−1. Finally, the sensitivity of JULES to meteorological driving data, a major source of model uncertainty, was examined. Estimates of annual average global GPP were higher when JULES was driven with the PRINCETON meteorological dataset than when driven with the WFDEI-GPCC dataset by 3 PgC year−1. On regional scales, differences between the two were observed, with the WFDEI-GPCC-driven model simulations estimating higher GPP in the tropics (5° N–5° S and the PRINCETON-driven model simulations estimating higher GPP in the extratropics (30

  13. Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales

    Science.gov (United States)

    Ryu, Youngryel; Baldocchi, Dennis D.; Kobayashi, Hideki; van Ingen, Catharine; Li, Jie; Black, T. Andy; Beringer, Jason; van Gorsel, Eva; Knohl, Alexander; Law, Beverly E.; Roupsard, Olivier

    2011-12-01

    We propose the Breathing Earth System Simulator (BESS), an upscaling approach to quantify global gross primary productivity and evapotranspiration using MODIS with a spatial resolution of 1-5 km and a temporal resolution of 8 days. This effort is novel because it is the first system that harmonizes and utilizes MODIS Atmosphere and Land products on the same projection and spatial resolution over the global land. This enabled us to use the MODIS Atmosphere products to calculate atmospheric radiative transfer for visual and near infrared radiation wave bands. Then we coupled atmospheric and canopy radiative transfer processes, with models that computed leaf photosynthesis, stomatal conductance and transpiration on the sunlit and shaded portions of the vegetation and soil. At the annual time step, the mass and energy fluxes derived from BESS showed strong linear relations with measurements of solar irradiance (r2 = 0.95, relative bias: 8%), gross primary productivity (r2 = 0.86, relative bias: 5%) and evapotranspiration (r2 = 0.86, relative bias: 15%) in data from 33 flux towers that cover seven plant functional types across arctic to tropical climatic zones. A sensitivity analysis revealed that the gross primary productivity and evapotranspiration computed in BESS were most sensitive to leaf area index and solar irradiance, respectively. We quantified the mean global terrestrial estimates of gross primary productivity and evapotranpiration between 2001 and 2003 as 118 ± 26 PgC yr-1 and 500 ± 104 mm yr-1 (equivalent to 63,000 ± 13,100 km3 yr-1), respectively. BESS-derived gross primary productivity and evapotranspiration estimates were consistent with the estimates from independent machine-learning, data-driven products, but the process-oriented structure has the advantage of diagnosing sensitivity of mechanisms. The process-based BESS is able to offer gridded biophysical variables everywhere from local to the total global land scales with an 8-day interval over

  14. Tree-grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna

    Science.gov (United States)

    Moore, Caitlin E.; Beringer, Jason; Evans, Bradley; Hutley, Lindsay B.; Tapper, Nigel J.

    2017-01-01

    The coexistence of trees and grasses in savanna ecosystems results in marked phenological dynamics that vary spatially and temporally with climate. Australian savannas comprise a complex variety of life forms and phenologies, from evergreen trees to annual/perennial grasses, producing a boom-bust seasonal pattern of productivity that follows the wet-dry seasonal rainfall cycle. As the climate changes into the 21st century, modification to rainfall and temperature regimes in savannas is highly likely. There is a need to link phenology cycles of different species with productivity to understand how the tree-grass relationship may shift in response to climate change. This study investigated the relationship between productivity and phenology for trees and grasses in an Australian tropical savanna. Productivity, estimated from overstory (tree) and understory (grass) eddy covariance flux tower estimates of gross primary productivity (GPP), was compared against 2 years of repeat time-lapse digital photography (phenocams). We explored the phenology-productivity relationship at the ecosystem scale using Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices and flux tower GPP. These data were obtained from the Howard Springs OzFlux/Fluxnet site (AU-How) in northern Australia. Two greenness indices were calculated from the phenocam images: the green chromatic coordinate (GCC) and excess green index (ExG). These indices captured the temporal dynamics of the understory (grass) and overstory (trees) phenology and were correlated well with tower GPP for understory (r2 = 0.65 to 0.72) but less so for the overstory (r2 = 0.14 to 0.23). The MODIS enhanced vegetation index (EVI) correlated well with GPP at the ecosystem scale (r2 = 0.70). Lastly, we used GCC and EVI to parameterise a light use efficiency (LUE) model and found it to improve the estimates of GPP for the overstory, understory and ecosystem. We conclude that phenology is an important parameter to

  15. Modeling gross primary production of agro-forestry ecosystems by assimilation of satellite-derived information in a process-based model.

    Science.gov (United States)

    Migliavacca, Mirco; Meroni, Michele; Busetto, Lorenzo; Colombo, Roberto; Zenone, Terenzio; Matteucci, Giorgio; Manca, Giovanni; Seufert, Guenther

    2009-01-01

    In this paper we present results obtained in the framework of a regional-scale analysis of the carbon budget of poplar plantations in Northern Italy. We explored the ability of the process-based model BIOME-BGC to estimate the gross primary production (GPP) using an inverse modeling approach exploiting eddy covariance and satellite data. We firstly present a version of BIOME-BGC coupled with the radiative transfer models PROSPECT and SAILH (named PROSAILH-BGC) with the aims of i) improving the BIOME-BGC description of the radiative transfer regime within the canopy and ii) allowing the assimilation of remotely-sensed vegetation index time series, such as MODIS NDVI, into the model. Secondly, we present a two-step model inversion for optimization of model parameters. In the first step, some key ecophysiological parameters were optimized against data collected by an eddy covariance flux tower. In the second step, important information about phenological dates and about standing biomass were optimized against MODIS NDVI. Results obtained showed that the PROSAILH-BGC allowed simulation of MODIS NDVI with good accuracy and that we described better the canopy radiation regime. The inverse modeling approach was demonstrated to be useful for the optimization of ecophysiological model parameters, phenological dates and parameters related to the standing biomass, allowing good accuracy of daily and annual GPP predictions. In summary, this study showed that assimilation of eddy covariance and remote sensing data in a process model may provide important information for modeling gross primary production at regional scale.

  16. Measured and modeled interactive effects of potassium deficiency and water deficit on gross primary productivity and light-use efficiency in Eucalyptus grandis plantations.

    Science.gov (United States)

    Christina, Mathias; Le Maire, Guerric; Battie-Laclau, Patricia; Nouvellon, Yann; Bouillet, Jean-Pierre; Jourdan, Christophe; de Moraes Gonçalves, José Leonardo; Laclau, Jean-Paul

    2015-05-01

    Global climate change is expected to increase the length of drought periods in many tropical regions. Although large amounts of potassium (K) are applied in tropical crops and planted forests, little is known about the interaction between K nutrition and water deficit on the physiological mechanisms governing plant growth. A process-based model (MAESPA) parameterized in a split-plot experiment in Brazil was used to gain insight into the combined effects of K deficiency and water deficit on absorbed radiation (aPAR), gross primary productivity (GPP), and light-use efficiency for carbon assimilation and stem biomass production (LUEC and LUEs ) in Eucalyptus grandis plantations. The main-plot factor was the water supply (undisturbed rainfall vs. 37% of throughfall excluded) and the subplot factor was the K supply (with or without 0.45 mol K m(-2 ) K addition). Mean GPP was 28% lower without K addition over the first 3 years after planting whether throughfall was partly excluded or not. K deficiency reduced aPAR by 20% and LUEC by 10% over the whole period of growth. With K addition, throughfall exclusion decreased GPP by 25%, resulting from a 21% decrease in LUEC at the end of the study period. The effect of the combination of K deficiency and water deficit was less severe than the sum of the effects of K deficiency and water deficit individually, leading to a reduction in stem biomass production, gross primary productivity and LUE similar to K deficiency on its own. The modeling approach showed that K nutrition and water deficit influenced absorbed radiation essentially through changes in leaf area index and tree height. The changes in gross primary productivity and light-use efficiency were, however, driven by a more complex set of tree parameters, especially those controlling water uptake by roots and leaf photosynthetic capacities. © 2014 John Wiley & Sons Ltd.

  17. Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites

    DEFF Research Database (Denmark)

    Zhou, Yanlian; Wu, Xiaocui; Ju, Weimin;

    2015-01-01

    Light use efficiency (LUE) models are widely used to simulate gross primary production (GPP). However, the treatment of the plant canopy as a big leaf by these models can introduce large uncertainties in simulated GPP. Recently, a two-leaf light use efficiency (TL-LUE) model was developed...... to simulate GPP separately for sunlit and shaded leaves and has been shown to outperform the big-leaf MOD17 model at six FLUX sites in China. In this study we investigated the performance of the TL-LUE model for a wider range of biomes. For this we optimized the parameters and tested the TL-LUE model using...... data from 98 FLUXNET sites which are distributed across the globe. The results showed that the TL-LUE model performed in general better than the MOD17 model in simulating 8 day GPP. Optimized maximum light use efficiency of shaded leaves (epsilon(msh)) was 2.63 to 4.59 times that of sunlit leaves...

  18. In situ spectral measurements improve the efficiency of light use efficiency models to estimate gross primary productivity in Mediterranean cork oak woodland

    Science.gov (United States)

    Cerasoli, S.; Silva, J. M.; Carvalhais, N.; Correia, A.; Costa e Silva, F.; Pereira, J. S.

    2013-12-01

    The Light Use Efficiency (LUE) concept is usually applied to retrieve Gross Primary Productivity (GPP) estimates in models integrating spectral indexes, namely Normalized Difference Vegetation Index (NDVI) and Photochemical Reflectance Index (PRI), considered proxies of biophysical properties of vegetation. The integration of spectral measurements into LUE models can increase the robustness of GPP estimates by optimizing particular parameters of the model. NDVI and PRI are frequently obtained by broad band sensors on remote platforms at low spatial resolution (e.g. MODIS). In highly heterogeneous ecosystems such spectral information may not be representative of the dynamic response of the ecosystem to climate variables. In Mediterranean oak woodlands different plant functional types (PFT): trees canopy, shrubs and herbaceous layer, contribute to the overall Gross Primary Productivity (GPP). In situ spectral measurements can provide useful information on each PFT and its temporal variability. The objectives of this study were: i) to analyze the temporal variability of NDVI, PRI and others spectral indices for the three PFT, their response to climate variables and their relationship with biophysical properties of vegetation; ii) to optimize a LUE model integrating selected spectral indexes in which the contribution of each PFT to the overall GPP is estimated individually; iii) to compare the performance of disaggregated GPP estimates and lumped GPP estimates, evaluated against eddy covariance measurements. Ground measurements of vegetation reflectance were performed in a cork oak woodland located in Coruche, Portugal (39°8'N, 8°19'W) where carbon and water fluxes are continuously measured by eddy covariance. Between April 2011 and June 2013 reflectance measurements of the herbaceous layer, shrubs and trees canopy were acquired with a FieldSpec3 spectroradiometer (ASD Inc.) which provided data in the range of 350-2500nm. Measurements were repeated approximately on

  19. Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites: TL-LUE Parameterization and Validation

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Yanlian [Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing China; Joint Center for Global Change Studies, Beijing China; Wu, Xiaocui [International Institute for Earth System Sciences, Nanjing University, Nanjing China; Joint Center for Global Change Studies, Beijing China; Ju, Weimin [International Institute for Earth System Sciences, Nanjing University, Nanjing China; Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing China; Chen, Jing M. [International Institute for Earth System Sciences, Nanjing University, Nanjing China; Joint Center for Global Change Studies, Beijing China; Wang, Shaoqiang [Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing China; Wang, Huimin [Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing China; Yuan, Wenping [State Key Laboratory of Earth Surface Processes and Resource Ecology, Future Earth Research Institute, Beijing Normal University, Beijing China; Andrew Black, T. [Faculty of Land and Food Systems, University of British Columbia, Vancouver British Columbia Canada; Jassal, Rachhpal [Faculty of Land and Food Systems, University of British Columbia, Vancouver British Columbia Canada; Ibrom, Andreas [Department of Environmental Engineering, Technical University of Denmark (DTU), Kgs. Lyngby Denmark; Han, Shijie [Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang China; Yan, Junhua [South China Botanical Garden, Chinese Academy of Sciences, Guangzhou China; Margolis, Hank [Centre for Forest Studies, Faculty of Forestry, Geography and Geomatics, Laval University, Quebec City Quebec Canada; Roupsard, Olivier [CIRAD-Persyst, UMR Ecologie Fonctionnelle and Biogéochimie des Sols et Agroécosystèmes, SupAgro-CIRAD-INRA-IRD, Montpellier France; CATIE (Tropical Agricultural Centre for Research and Higher Education), Turrialba Costa Rica; Li, Yingnian [Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining China; Zhao, Fenghua [Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing China; Kiely, Gerard [Environmental Research Institute, Civil and Environmental Engineering Department, University College Cork, Cork Ireland; Starr, Gregory [Department of Biological Sciences, University of Alabama, Tuscaloosa Alabama USA; Pavelka, Marian [Laboratory of Plants Ecological Physiology, Institute of Systems Biology and Ecology AS CR, Prague Czech Republic; Montagnani, Leonardo [Forest Services, Autonomous Province of Bolzano, Bolzano Italy; Faculty of Sciences and Technology, Free University of Bolzano, Bolzano Italy; Wohlfahrt, Georg [Institute for Ecology, University of Innsbruck, Innsbruck Austria; European Academy of Bolzano, Bolzano Italy; D' Odorico, Petra [Grassland Sciences Group, Institute of Agricultural Sciences, ETH Zurich Switzerland; Cook, David [Atmospheric and Climate Research Program, Environmental Science Division, Argonne National Laboratory, Argonne Illinois USA; Arain, M. Altaf [McMaster Centre for Climate Change and School of Geography and Earth Sciences, McMaster University, Hamilton Ontario Canada; Bonal, Damien [INRA Nancy, UMR EEF, Champenoux France; Beringer, Jason [School of Earth and Environment, The University of Western Australia, Crawley Australia; Blanken, Peter D. [Department of Geography, University of Colorado Boulder, Boulder Colorado USA; Loubet, Benjamin [UMR ECOSYS, INRA, AgroParisTech, Université Paris-Saclay, Thiverval-Grignon France; Leclerc, Monique Y. [Department of Crop and Soil Sciences, College of Agricultural and Environmental Sciences, University of Georgia, Athens Georgia USA; Matteucci, Giorgio [Viea San Camillo Ed LellisViterbo, University of Tuscia, Viterbo Italy; Nagy, Zoltan [MTA-SZIE Plant Ecology Research Group, Szent Istvan University, Godollo Hungary; Olejnik, Janusz [Meteorology Department, Poznan University of Life Sciences, Poznan Poland; Department of Matter and Energy Fluxes, Global Change Research Center, Brno Czech Republic; Paw U, Kyaw Tha [Department of Land, Air and Water Resources, University of California, Davis California USA; Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge USA; Varlagin, Andrej [A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow Russia

    2016-04-06

    Light use efficiency (LUE) models are widely used to simulate gross primary production (GPP). However, the treatment of the plant canopy as a big leaf by these models can introduce large uncertainties in simulated GPP. Recently, a two-leaf light use efficiency (TL-LUE) model was developed to simulate GPP separately for sunlit and shaded leaves and has been shown to outperform the big-leaf MOD17 model at 6 FLUX sites in China. In this study we investigated the performance of the TL-LUE model for a wider range of biomes. For this we optimized the parameters and tested the TL-LUE model using data from 98 FLUXNET sites which are distributed across the globe. The results showed that the TL-LUE model performed in general better than the MOD17 model in simulating 8-day GPP. Optimized maximum light use efficiency of shaded leaves (εmsh) was 2.63 to 4.59 times that of sunlit leaves (εmsu). Generally, the relationships of εmsh and εmsu with εmax were well described by linear equations, indicating the existence of general patterns across biomes. GPP simulated by the TL-LUE model was much less sensitive to biases in the photosynthetically active radiation (PAR) input than the MOD17 model. The results of this study suggest that the proposed TL-LUE model has the potential for simulating regional and global GPP of terrestrial ecosystems and it is more robust with regard to usual biases in input data than existing approaches which neglect the bi-modal within-canopy distribution of PAR.

  20. Temperature acclimation of photosynthesis has only minor effects on gross primary productivity (GPP) in an Earth System Model (ESM)

    Science.gov (United States)

    Goll, Daniel; Brovkin, Victor; Kattge, Jens; Zaehle, Soenke; Reick, Christian

    2013-04-01

    The productivity of terrestrial plants influences the dynamics of atmospheric CO2. It is therefore crucial to understand and quantify productivity and predict its future responses to climate change and increasing atmospheric CO2 concentrations. Recently, Booth et al. (2012) found that the temperature dependence of photosynthesis is the most important uncertainty of the climate-carbon cycle feedback in a comprehensive ESM. Using trait data, Kattge and Knorr (2007) found that photosynthesis, in particular the acclimation of the maximum carboxylation rate (Vmax) and electron transport rate (Jmax), acclimates to prevailing temperatures. As a first attempt to address temperature acclimation of photosynthesis on global scale, we replaced the simplified exponential formulation of the temperature dependence of Vmax and Jmax in the Max Planck Institute Earth System Model (MPI-ESM) by a physiologically more plausible and justified model with short-term optimum temperature. For temperature acclimation we then implemented the acclimation descriptions by Kattge and Knorr (2007). We conducted sets of simulations on site scale driven by meteorological observations, and simulations on global scale for present day climate and for a 6 K warmer climate. The physiologically more plausible and justified model with short-term optimum temperature and temperature acclimation yields similar results as the old exponential formulation not accounting for either process. With the new model, global GPP for present day and in the warming scenario is increased by 0.7% and 0.9%, respectively. Acclimation causes a slight shift of productivity from high to low latitudes, too. A slightly larger effect on GPP has the replacement of the exponential formulation with the model with optimum temperature, resulting in a 1.2% decrease in global GPP under both climatic conditions. Acclimation thus compensates for the effects of the physiologically based temperature optimum of photosynthesis. As the effects

  1. Effects of in-situ and reanalysis climate data on estimation of cropland gross primary production using the Vegetation Photosynthesis Model

    Energy Technology Data Exchange (ETDEWEB)

    Jin, Cui; Xiao, Xiangming; Wagle, Pradeep; Griffis, Timothy; Dong, Jinwei; Wu, Chaoyang; Qin, Yuanwei; Cook, David R.

    2015-11-01

    Satellite-based Production Efficiency Models (PEMs) often require meteorological reanalysis data such as the North America Regional Reanalysis (NARR) by the National Centers for Environmental Prediction (NCEP) as model inputs to simulate Gross Primary Production (GPP) at regional and global scales. This study first evaluated the accuracies of air temperature (TNARR) and downward shortwave radiation (RNARR) of the NARR by comparing with in-situ meteorological measurements at 37 AmeriFlux non-crop eddy flux sites, then used one PEM – the Vegetation Photosynthesis Model (VPM) to simulate 8-day mean GPP (GPPVPM) at seven AmeriFlux crop sites, and investigated the uncertainties in GPPVPM from climate inputs as compared with eddy covariance-based GPP (GPPEC). Results showed that TNARR agreed well with in-situ measurements; RNARR, however, was positively biased. An empirical linear correction was applied to RNARR, and significantly reduced the relative error of RNARR by ~25% for crop site-years. Overall, GPPVPM calculated from the in-situ (GPPVPM(EC)), original (GPPVPM(NARR)) and adjusted NARR (GPPVPM(adjNARR)) climate data tracked the seasonality of GPPEC well, albeit with different degrees of biases. GPPVPM(EC) showed a good match with GPPEC for maize (Zea mays L.), but was slightly underestimated for soybean (Glycine max L.). Replacing the in-situ climate data with the NARR resulted in a significant overestimation of GPPVPM(NARR) (18.4/29.6% for irrigated/rainfed maize and 12.7/12.5% for irrigated/rainfed soybean). GPPVPM(adjNARR) showed a good agreement with GPPVPM(EC) for both crops due to the reduction in the bias of RNARR. The results imply that the bias of RNARR introduced significant uncertainties into the PEM-based GPP estimates, suggesting that more accurate surface radiation datasets are needed to estimate primary production of terrestrial ecosystems at regional and global scales.

  2. Atmospheric COS measurements and satellite-derived vegetation fluorescence data to evaluate the terrestrial gross primary productivity of CMIP5 model

    Science.gov (United States)

    Peylin, Philippe; MacBean, Natasha; Launois, Thomas; Belviso, Sauveur; Cadule, Patricia; Maignan, Fabienne

    2016-04-01

    Predicting the fate of the ecosystem carbon stocks and their sensitivity to climate change strongly relies on our ability to accurately model the gross carbon fluxes, i.e. photosynthesis and respiration. The Gross Primary Productivity (GPP) simulated by the different terrestrial models used in CMIP5 show large differences however, not only in terms of mean value but also in terms of phase and amplitude, thus hampering accurate investigations into carbon-climate feedbacks. While the net C flux of an ecosystem (NEE) can be measured in situ with the eddy covariance technique, the GPP is not directly accessible at larger scales and usually estimates are based on indirect measurements combining different tracers. Recent measurements of a new atmospheric tracer, the Carbonyl sulphide (COS), as well as the global measurement of Solar Induced Fluorescence (SIF) from satellite instruments (GOSAT, GOME2) open a new window for evaluating the GPP of earth system models. The use of COS relies on the fact that it is absorbed by the leaves in a similar manner to CO2, while there seems to be nothing equivalent to respiration for COS. Following recent work by Launois et al. (ACP, 2015), there is a potential to evaluate model GPP from atmospheric COS and CO2 measurements, using a transport model and recent parameterizations for the non-photosynthetic sinks (oxic soils, atmospheric oxidation) and biogenic sources (oceans and anoxic soils) of COS. Vegetation uptake of COS is modeled as a linear function of GPP and the ratio of COS to CO2 rate of uptake by plants. For the fluorescence, recent measurements of SIF from space appear to be highly correlated with monthly variations of data-driven GPP estimates (Guanter et al., 2012), following a strong dependence of vegetation SIF on photosynthetic activity. These global measurements thus provide new indications on the timing of canopy carbon uptake. In this work, we propose a dual approach that combines the strength of both COS and SIF

  3. Observing and modeling dynamics in terrestrial gross primary productivity and phenology from remote sensing: An assessment using in-situ measurements

    Science.gov (United States)

    Verma, Manish K.

    Terrestrial gross primary productivity (GPP) is the largest and most variable component of the carbon cycle and is strongly influenced by phenology. Realistic characterization of spatio-temporal variation in GPP and phenology is therefore crucial for understanding dynamics in the global carbon cycle. In the last two decades, remote sensing has become a widely-used tool for this purpose. However, no study has comprehensively examined how well remote sensing models capture spatiotemporal patterns in GPP, and validation of remote sensing-based phenology models is limited. Using in-situ data from 144 eddy covariance towers located in all major biomes, I assessed the ability of 10 remote sensing-based methods to capture spatio-temporal variation in GPP at annual and seasonal scales. The models are based on different hypotheses regarding ecophysiological controls on GPP and span a range of structural and computational complexity. The results lead to four main conclusions: (i) at annual time scale, models were more successful capturing spatial variability than temporal variability; (ii) at seasonal scale, models were more successful in capturing average seasonal variability than interannual variability; (iii) simpler models performed as well or better than complex models; and (iv) models that were best at explaining seasonal variability in GPP were different from those that were best able to explain variability in annual scale GPP. Seasonal phenology of vegetation follows bounded growth and decay, and is widely modeled using growth functions. However, the specific form of the growth function affects how phenological dynamics are represented in ecosystem and remote sensing-base models. To examine this, four different growth functions (the logistic, Gompertz, Mirror-Gompertz and Richards function) were assessed using remotely sensed and in-situ data collected at several deciduous forest sites. All of the growth functions provided good statistical representation of in

  4. Large historical growth in global terrestrial gross primary production

    Energy Technology Data Exchange (ETDEWEB)

    Campbell, J. E.; Berry, J. A.; Seibt, U.; Smith, S. J.; Montzka, S. A.; Launois, T.; Belviso, S.; Bopp, L.; Laine, M.

    2017-04-05

    Growth in terrestrial gross primary production (GPP) may provide a feedback for climate change, but there is still strong disagreement on the extent to which biogeochemical processes may suppress this GPP growth at the ecosystem to continental scales. The consequent uncertainty in modeling of future carbon storage by the terrestrial biosphere constitutes one of the largest unknowns in global climate projections for the next century. Here we provide a global, measurement-based estimate of historical GPP growth using long-term atmospheric carbonyl sulfide (COS) records derived from ice core, firn, and ambient air samples. We interpret these records using a model that relates changes in the COS concentration to changes in its sources and sinks, the largest of which is proportional to GPP. The COS history was most consistent with simulations that assume a large historical GPP growth. Carbon-climate models that assume little to no GPP growth predicted trajectories of COS concentration over the anthropogenic era that differ from those observed. Continued COS monitoring may be useful for detecting ongoing changes in GPP while extending the ice core record to glacial cycles could provide further opportunities to evaluate earth system models.

  5. Stratospheric sulfate geoengineering enhances terrestrial gross primary productivity

    Science.gov (United States)

    Xia, L.; Robock, A.; Tilmes, S.; Neely, R. R., III

    2015-09-01

    Stratospheric sulfate geoengineering could impact the terrestrial carbon cycle by enhancing the carbon sink. With an 8 Tg yr-1 injection of SO2 to balance a Representative Concentration Pathway 6.0 (RCP6.0) scenario, we conducted climate model simulations with the Community Earth System Model, with the Community Atmospheric Model 4 fully coupled to tropospheric and stratospheric chemistry (CAM4-chem). During the geoengineering period, as compared to RCP6.0, land-averaged downward visible diffuse radiation increased 3.2 W m-2 (11 %). The enhanced diffuse radiation combined with the cooling increased plant photosynthesis by 2.4 %, which could contribute to an additional 3.8 ± 1.1 Gt C yr-1 global gross primary productivity without nutrient limitation. This increase could potentially increase the land carbon sink. Suppressed plant and soil respiration due to the cooling would reduce natural land carbon emission and therefore further enhance the terrestrial carbon sink during the geoengineering period. This beneficial impact of stratospheric sulfate geoengineering would need to be balanced by a large number of potential risks in any future decisions about implementation of geoengineering.

  6. Stratospheric sulfate geoengineering enhances terrestrial gross primary productivity

    Directory of Open Access Journals (Sweden)

    L. Xia

    2015-09-01

    Full Text Available Stratospheric sulfate geoengineering could impact the terrestrial carbon cycle by enhancing the carbon sink. With an 8 Tg yr−1 injection of SO2 to balance a Representative Concentration Pathway 6.0 (RCP6.0 scenario, we conducted climate model simulations with the Community Earth System Model, with the Community Atmospheric Model 4 fully coupled to tropospheric and stratospheric chemistry (CAM4-chem. During the geoengineering period, as compared to RCP6.0, land-averaged downward visible diffuse radiation increased 3.2 W m−2 (11 %. The enhanced diffuse radiation combined with the cooling increased plant photosynthesis by 2.4 %, which could contribute to an additional 3.8 ± 1.1 Gt C yr−1 global gross primary productivity without nutrient limitation. This increase could potentially increase the land carbon sink. Suppressed plant and soil respiration due to the cooling would reduce natural land carbon emission and therefore further enhance the terrestrial carbon sink during the geoengineering period. This beneficial impact of stratospheric sulfate geoengineering would need to be balanced by a large number of potential risks in any future decisions about implementation of geoengineering.

  7. Large historical growth in global terrestrial gross primary production

    Science.gov (United States)

    Campbell, J. E.; Berry, J. A.; Seibt, U.; Smith, S. J.; Montzka, S. A.; Launois, T.; Belviso, S.; Bopp, L.; Laine, M.

    2017-04-01

    Growth in terrestrial gross primary production (GPP)—the amount of carbon dioxide that is ‘fixed’ into organic material through the photosynthesis of land plants—may provide a negative feedback for climate change. It remains uncertain, however, to what extent biogeochemical processes can suppress global GPP growth. As a consequence, modelling estimates of terrestrial carbon storage, and of feedbacks between the carbon cycle and climate, remain poorly constrained. Here we present a global, measurement-based estimate of GPP growth during the twentieth century that is based on long-term atmospheric carbonyl sulfide (COS) records, derived from ice-core, firn and ambient air samples. We interpret these records using a model that simulates changes in COS concentration according to changes in its sources and sinks—including a large sink that is related to GPP. We find that the observation-based COS record is most consistent with simulations of climate and the carbon cycle that assume large GPP growth during the twentieth century (31% ± 5% growth; mean ± 95% confidence interval). Although this COS analysis does not directly constrain models of future GPP growth, it does provide a global-scale benchmark for historical carbon-cycle simulations.

  8. A mechanistic description of the global COS cycle consistent with atmospheric measurements and its potential to evaluate gross primary production of vegetation models

    Science.gov (United States)

    Launois, Thomas; Peylin, Philippe; Belviso, Sauveur; Bopp, Laurent; Ogée, Jérôme; Wingate, Lisa; Cuntz, Matthias

    2016-04-01

    Accurate estimates of the gross carbon fluxes - photosynthesis and respiration - are essential to predict the ecosystem carbon fluxes and stocks and their evolution in a changing climate. The gross primary productivity (GPP) in the current dynamic global vegetation models (DGVMs), however, shows large differences in terms of mean values, phase and amplitude. As large scale measurements of the GPP are not possible, their estimates are usually based on indirect tracers. Carbonyl sulfide (COS) has been proposed as a tracer of GPP since COS and CO2 are dominantly taken up by plants via the same enzyme during photosynthesis. Thus leaf uptakes of COS and CO2 are often found to be proportional, with a coefficient of proportionality (LRU) that is species-dependant according to laboratory measurements. However contrarily to CO2, atmospheric records of COS over the last decades show a strong seasonal cycle but with no significant trend, which implies roughly equilibrated sources and sinks of COS at the global scale. Most recent estimates of COS uptake by plants using this LRU concept led to larger sinks over land than initially estimated. In order to maintain a closed atmospheric budget, a compensatory COS source had to be found, with the ocean being suggested as the most likely candidate. In this work, we propose a new mechanistically-based parameterization of the major sources and sinks of COS, allowing to close the global atmospheric budget. For the ocean, we used the ocean general circulation and biogeochemistry model NEMO-PISCES to assess the marine source of COS. Using the simulated organic compounds at the surface, we derived a direct source of COS through the COS photo-production as well as an indirect source through the emissions of sulfur compounds (DMS). The resulting simulated global fluxes correspond to a net source of COS of around 800 GgS yr-1, spatially and temporally consistent with the suggested missing source. For the land, we considered most anoxic soils

  9. Noncommutative complex Grosse-Wulkenhaar model

    CERN Document Server

    Hounkonnou, Mahouton Norbert

    2012-01-01

    This paper stands for an application of the noncommutative (NC) Noether theorem, given in our previous work [AIP Proc 956 (2007) 55-60], for the NC complex Grosse-Wulkenhaar model. It provides with an extension of a recent work [Physics Letters B 653 (2007) 343-345]. The local conservation of energy-momentum tensors (EMTs) is recovered using improvement procedures based on Moyal algebraic techniques. Broken dilatation symmetry is discussed. NC gauge currents are also explicitly computed.

  10. Baryons in Massive Gross-Neveu Models

    CERN Document Server

    Thies, M; Thies, Michael; Urlichs, Konrad

    2005-01-01

    Baryons in the large N limit of (1+1)-dimensional Gross-Neveu models with either discrete or continuous chiral symmetry have long been known. We generalize their construction to the case where the symmetry is explicitly broken by a bare mass term in the Lagrangian. In the discrete symmetry case, the exact solution is found for arbitrary bare fermion mass, using the Hartree-Fock approach. In the continuous symmetry case, a derivative expansion allows us to rederive a formerly proposed Skyrme-type model and to compute systematically corrections to the leading order description based on an effective sine-Gordon theory.

  11. Net primary production of forests: a constant fraction of gross primary production?

    Science.gov (United States)

    Waring, R. H.; Landsberg, J. J.; Williams, M.

    1998-02-01

    Considerable progress has been made in our ability to model and measure annual gross primary production (GPP) by terrestrial vegetation. But challenges remain in estimating maintenance respiration (R(m)) and net primary production (NPP). To search for possible common relationships, we assembled annual carbon budgets from six evergreen and one deciduous forest in Oregon, USA, three pine plantations in New South Wales, Australia, a deciduous forest in Massachusetts, USA, and a Nothofagus forest on the South Island of New Zealand. At all 12 sites, a standard procedure was followed to estimate annual NPP of foliage, branches, stems, and roots, the carbon expended in synthesis of these organs (R(g)), their R(m), and that of previously produced foliage and sapwood in boles, branches, and large roots. In the survey, total NPP ranged from 120 to 1660 g C m(-2) year(-1), whereas the calculated fraction allocated to roots varied from 0.22 to 0.63. Comparative analysis indicated that the total NPP/GPP ratio was conservative (0.47 +/- 0.04 SD). This finding supports the possibility of greatly simplifying forest growth models. The constancy of the NPP/GPP ratio also provides an incentive to renew efforts to understand the environmental factors affecting partitioning of NPP above and belowground.

  12. Extreme events in gross primary production: a characterization across continents

    Directory of Open Access Journals (Sweden)

    J. Zscheischler

    2014-01-01

    Full Text Available Climate extremes can affect the functioning of terrestrial ecosystems, for instance via a reduction of the photosynthetic capacity or alterations of respiratory processes. Yet the dominant regional and seasonal effects of hydrometeorological extremes are still not well documented. Here we quantify and characterize the role of large spatiotemporal extreme events in gross primary production (GPP as triggers of continental anomalies. We also investigate seasonal dynamics of extreme impacts on continental GPP anomalies. We find that the 50 largest positive (increase in uptake and negative extremes (decrease in uptake on each continent can explain most of the continental variation in GPP, which is in line with previous results obtained at the global scale. We show that negative extremes are larger than positive ones and demonstrate that this asymmetry is particularly strong in South America and Europe. Most extremes in GPP start in early summer. Our analysis indicates that the overall impacts and the spatial extents of GPP extremes are power law distributed with exponents that vary little across continents. Moreover, we show that on all continents and for all data sets the spatial extents play a more important role than durations or maximal GPP anomaly when it comes to the overall impact of GPP extremes. An analysis of possible causes implies that across continents most extremes in GPP can best be explained by water scarcity rather than by extreme temperatures. However, for Europe, South America and Oceania we identify also fire as an important driver. Our findings are consistent with remote sensing products. An independent validation against a literature survey on specific extreme events supports our results to a large extent.

  13. Using Stochastic Ray Tracing to Simulate a Dense Time Series of Gross Primary Productivity

    Directory of Open Access Journals (Sweden)

    Martin van Leeuwen

    2015-12-01

    Full Text Available Eddy-covariance carbon dioxide flux measurement is an established method to estimate primary productivity at the forest stand level (typically 10 ha. To validate eddy-covariance estimates, researchers rely on extensive time-series analysis and an assessment of flux contributions made by various ecosystem components at spatial scales much finer than the eddy-covariance footprint. Scaling these contributions to the stand level requires a consideration of the heterogeneity in the canopy radiation field. This paper presents a stochastic ray tracing approach to predict the probabilities of light absorption from over a thousand hemispherical directions by thousands of individual scene elements. Once a look-up table of absorption probabilities is computed, dynamic illumination conditions can be simulated in a computationally realistic time, from which stand-level gross primary productivity can be obtained by integrating photosynthetic assimilation over the scene. We demonstrate the method by inverting a leaf-level photosynthesis model with eddy-covariance and meteorological data. Optimized leaf photosynthesis parameters and canopy structure were able to explain 75% of variation in eddy-covariance gross primary productivity estimates, and commonly used parameters, including photosynthetic capacity and quantum yield, fell within reported ranges. Remaining challenges are discussed including the need to address the distribution of radiation within shoots and needles.

  14. Efficiency of chlorophyll in gross primary productivity: A proof of concept and application in crops.

    Science.gov (United States)

    Gitelson, Anatoly A; Peng, Yi; Viña, Andrés; Arkebauer, Timothy; Schepers, James S

    2016-08-20

    One of the main factors affecting vegetation productivity is absorbed light, which is largely governed by chlorophyll. In this paper, we introduce the concept of chlorophyll efficiency, representing the amount of gross primary production per unit of canopy chlorophyll content (Chl) and incident PAR. We analyzed chlorophyll efficiency in two contrasting crops (soybean and maize). Given that they have different photosynthetic pathways (C3 vs. C4), leaf structures (dicot vs. monocot) and canopy architectures (a heliotrophic leaf angle distribution vs. a spherical leaf angle distribution), they cover a large spectrum of biophysical conditions. Our results show that chlorophyll efficiency in primary productivity is highly variable and responds to various physiological and phenological conditions, and water availability. Since Chl is accessible through non-destructive, remotely sensed techniques, the use of chlorophyll efficiency for modeling and monitoring plant optimization patterns is practical at different scales (e.g., leaf, canopy) and under widely-varying environmental conditions. Through this analysis, we directly related a functional characteristic, gross primary production with a structural characteristic, canopy chlorophyll content. Understanding the efficiency of the structural characteristic is of great interest as it allows explaining functional components of the plant system.

  15. Modelling spatial and temporal dynamics of gross primary production in the Sahel from earth-observation-based photosynthetic capacity and quantum efficiency

    DEFF Research Database (Denmark)

    Tagesson, Håkan Torbern; Ardoe, Jonas; Cappelaere, Bernard

    2017-01-01

    based on earth observation (EO) (normalized difference vegetation index (NDVI), renormalized difference vegetation index (RDVI), enhanced vegetation index (EVI) and shortwave infrared water stress index (SIWSI)); and (3) to study the applicability of EO upscaled Fopt and α for GPP modelling purposes...... related to RDVI being affected by chlorophyll abundance. Spatial and inter-annual dynamics in Fopt and α were closely coupled to NDVI and RDVI, respectively. Modelled GPP based on Fopt and α upscaled using EO-based indices reproduced in situ GPP well for all except a cropped site that was strongly...

  16. Assessment of Gross Malnutrition among Primary School Children ...

    African Journals Online (AJOL)

    2017-06-28

    Jun 28, 2017 ... overweight, and obesity using body mass index (BMI) in primary school pupils in. Abakaliki .... physical activity due to increasing sedentary nature of various forms of ..... Available at: http://www.icnhs.uk/pub/hse10report. [Last.

  17. Construction of 2-dimensional Grosse-Wulkenhaar Model

    CERN Document Server

    Wang, Zhituo

    2011-01-01

    In this paper we construct the noncommutative Grosse-Wulkenhaar model on 2-dimensional Moyal plane with the method of loop vertex expansion. We treat renormalization with this new tool, adapt Nelson's argument and prove Borel summability of the perturbation series. This is the first non-commutative quantum field theory model to be built in a non-perturbative sense.

  18. Revised Phase Diagram of the Gross-Neveu Model

    CERN Document Server

    Thies, M; Thies, Michael; Urlichs, Konrad

    2003-01-01

    We confirm earlier hints that the conventional phase diagram of the discrete chiral Gross-Neveu model in the large N limit is deficient at non-zero chemical potential. We present the corrected phase diagram constructed in mean field theory. It has three different phases, including a kink-antikink crystal phase. All transitions are second order. The driving mechanism for the new structure of baryonic matter in the Gross-Neveu model is an Overhauser type instability with gap formation at the Fermi surface.

  19. Site-level evaluation of satellite-based global terrestrial gross primary production and net primary production monitoring.

    Science.gov (United States)

    David P. Turner; William D. Ritts; Warren B. Cohen; Thomas K. Maeirsperger; Stith T. Gower; Al A. Kirschbaum; Steve W. Runnings; Maosheng Zhaos; Steven C. Wofsy; Allison L. Dunn; Beverly E. Law; John L. Campbell; Walter C. Oechel; Hyo Jung Kwon; Tilden P. Meyers; Eric E. Small; Shirley A. Kurc; John A. Gamon

    2005-01-01

    Operational monitoring of global terrestrial gross primary production (GPP) and net primary production (NPP) is now underway using imagery from the satellite-borne Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. Evaluation of MODIS GPP and NPP products will require site-level studies across a range of biomes, with close attention to numerous scaling...

  20. Global gross primary productivity and water use efficiency changes under drought stress

    Science.gov (United States)

    Yu, Zhen; Wang, Jingxin; Liu, Shirong; Rentch, James S.; Sun, Pengsen; Lu, Chaoqun

    2017-01-01

    Drought can affect the structure, composition and function of terrestrial ecosystems, yet drought impacts and post-drought recovery potentials of different land cover types have not been extensively studied at a global scale. We evaluated drought impacts on gross primary productivity (GPP), evapotranspiration (ET), and water use efficiency (WUE) of different global terrestrial ecosystems, as well as the drought-resilience of each ecosystem type during the period of 2000 to 2011. Using GPP as biome vitality indicator against drought stress, we developed a model to examine ecosystem resilience represented by the length of recovery days (LRD). LRD presented an evident gradient of high (>60 days) in mid-latitude region and low (stress induced responses or data uncertainties, which require further investigation.

  1. Joint control of terrestrial gross primary productivity by plant phenology and physiology

    NARCIS (Netherlands)

    Xia, J.; Niu, S.; Ciais, P.; Janssens, I.A.; Chen, J.; Ammann, C.; Arain, A.; Blanken, P.D.; Cescatti, A.; Moors, E.J.

    2015-01-01

    Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climate–carbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of biot

  2. Joint control of terrestrial gross primary productivity by plant phenology and physiology

    NARCIS (Netherlands)

    Xia, J.; Niu, S.; Ciais, P.; Janssens, I.A.; Chen, J.; Ammann, C.; Arain, A.; Blanken, P.D.; Cescatti, A.; Moors, E.J.

    2015-01-01

    Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climate–carbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of

  3. Constructive Renormalization of 2-dimensional Grosse-Wulkenhaar Model

    CERN Document Server

    Wang, Zhituo

    2012-01-01

    In this talk we briefly report the recent work on the construction of the 2-dimensional Grosse-Wulkenhaar model with the method of loop vertex expansion. We treat renormalization with this new tool, adapt Nelson's argument and prove Borel summability of the perturbation series. This is the first non-commutative quantum field theory model to be built in a non-perturbative sense.

  4. Annual Gross Primary Production from Vegetation Indices: A Theoretically Sound Approach

    Directory of Open Access Journals (Sweden)

    María Amparo Gilabert

    2017-02-01

    Full Text Available A linear relationship between the annual gross primary production (GPP and a PAR-weighted vegetation index is theoretically derived from the Monteith equation. A semi-empirical model is then proposed to estimate the annual GPP from commonly available vegetation indices images and a representative PAR, which does not require actual meteorological data. A cross validation procedure is used to calibrate and validate the model predictions against reference data. As the calibration/validation process depends on the reference GPP product, the higher the quality of the reference GPP, the better the performance of the semi-empirical model. The annual GPP has been estimated at 1-km scale from MODIS NDVI and EVI images for eight years. Two reference data sets have been used: an optimized GPP product for the study area previously obtained and the MOD17A3 product. Different statistics show a good agreement between the estimates and the reference GPP data, with correlation coefficient around 0.9 and relative RMSE around 20%. The annual GPP is overestimated in semiarid areas and slightly underestimated in dense forest areas. With the above limitations, the model provides an excellent compromise between simplicity and accuracy for the calculation of long time series of annual GPP.

  5. Recent Changes in Terrestrial Gross Primary Productivity in Asia from 1982 to 2011

    Directory of Open Access Journals (Sweden)

    Kazuhito Ichii

    2013-11-01

    Full Text Available Past changes in gross primary productivity (GPP were assessed using historical satellite observations based on the Normalized Difference Vegetation Index (NDVI from the Advanced Very High Resolution Radiometer (AVHRR onboard the National Oceanic and Atmospheric Administration (NOAA satellite series and four terrestrial biosphere models to identify the trends and driving mechanisms related to GPP and NDVI in Asia. A satellite-based time-series data analysis showed that approximately 40% of the area has experienced a significant increase in the NDVI, while only a few areas have experienced a significant decreasing trend over the last 30 years. The increases in the NDVI are dominant in the sub-continental regions of Siberia, East Asia, and India. Simulations using the terrestrial biosphere models also showed significant increases in GPP, similar to the results for the NDVI, in boreal and temperate regions. A modeled sensitivity analysis showed that the increases in GPP are explained by increased temperature and precipitation in Siberia. Precipitation, solar radiation and CO2 fertilization are important factors in the tropical regions. However, the relative contributions of each factor to GPP changes are different among the models.

  6. Estimation of gross primary production of the Amazon-Cerrado transitional forest by remote sensing techniques

    Directory of Open Access Journals (Sweden)

    Maísa Caldas Souza

    2014-03-01

    Full Text Available The gross primary production (GPP of ecosystems is an important variable in the study of global climate change. Generally, the GPP has been estimated by micrometeorological techniques. However, these techniques have a high cost of implantation and maintenance, making the use of orbital sensor data an option to be evaluated. Thus, the objective of this study was to evaluate the potential of the MODIS (Moderate Resolution Imaging Spectroradiometer MOD17A2 product and the vegetation photosynthesis model (VPM to predict the GPP of the Amazon-Cerrado transitional forest. The GPP predicted by MOD17A2 (GPP MODIS and VPM (GPP VPM were validated with the GPP estimated by eddy covariance (GPP EC. The GPP MODIS, GPP VPM and GPP EC have similar seasonality, with higher values in the wet season and lower in the dry season. However, the VPM performed was better than the MOD17A2 to estimate the GPP, due to use local climatic data for predict the light use efficiency, while the MOD17A2 use a global circulation model and the lookup table of each vegetation type to estimate the light use efficiency.

  7. A geostatistical synthesis study of factors affecting gross primary productivity in various ecosystems of North America

    Directory of Open Access Journals (Sweden)

    V. Yadav

    2010-02-01

    Full Text Available A coupled Bayesian model selection and geostatistical regression modeling approach is adopted for empirical analysis of gross primary productivity (GPP at six AmeriFlux sites, including the Kennedy Space Center Scrub Oak, Vaira Ranch, Tonzi Ranch, Blodgett Forest, Morgan Monroe State Forest, and Harvard Forest sites. The analysis is performed at a continuum of temporal scales ranging from daily to monthly, for a period of seven years. A total of 10 covariates representing environmental stimuli and indices of plant physiology are considered in explaining variations in GPP. Similar to other statistical methods, the proposed approach estimates regression coefficients and uncertainties associated with the covariates in a selected regression model. However, unlike traditional regression methods, the presented approach also estimates the uncertainty associated with the selection of a single "best" model of GPP. In addition, the approach provides an enhanced understanding of how the importance of specific covariates changes with temporal resolutions. An examination of trends in the importance of specific covariates reveals scaling thresholds above or below which covariates become significant in explaining GPP. Results indicate that most sites (especially those with a stronger seasonal cycle exhibit at least one prominent scaling threshold between daily to 20-day temporal scale. This demonstrates that environmental variables that explain GPP at synoptic scales are different from those that capture its seasonality. At shorter time scales, radiation, temperature, and vapor pressure deficit exert most significant influence on GPP at most examined sites. However, at coarser time scales, the importance of these covariates in explaining GPP declines. Overall, unique best models are identified at most sites at the daily scale, whereas multiple competing models are identified at larger time scales. In addition, the selected models are able to explain a larger

  8. A geostatistical synthesis study of factors affecting gross primary productivity in various ecosystems of North America

    Directory of Open Access Journals (Sweden)

    V. Yadav

    2010-09-01

    Full Text Available A coupled Bayesian model selection and geostatistical regression modeling approach is adopted for empirical analysis of gross primary productivity (GPP at six AmeriFlux sites, including the Kennedy Space Center Scrub Oak, Vaira Ranch, Tonzi Ranch, Blodgett Forest, Morgan Monroe State Forest, and Harvard Forest sites. The analysis is performed at a continuum of temporal scales ranging from daily to monthly, for a period of seven years. A total of 10 covariates representing environmental stimuli and indices of plant physiology are considered in explaining variations in GPP. Similarly to other statistical methods, the presented approach estimates regression coefficients and uncertainties associated with the covariates in a selected regression model. Unlike traditional regression methods, however, the approach also estimates the uncertainty associated with the selection of a single "best" model of GPP. In addition, the approach provides an enhanced understanding of how the importance of specific covariates changes with the examined timescale (i.e. temporal resolution. An examination of changes in the importance of specific covariates across timescales reveals thresholds above or below which covariates become important in explaining GPP. Results indicate that most sites (especially those with a stronger seasonal cycle exhibit at least one prominent scaling threshold between the daily and 20-day temporal scales. This demonstrates that environmental variables that explain GPP at synoptic scales are different from those that capture its seasonality. At shorter time scales, radiation, temperature, and vapor pressure deficit exert the most significant influence on GPP at most examined sites. At coarser time scales, however, the importance of these covariates in explaining GPP declines. Overall, unique best models are identified at most sites at the daily scale, whereas multiple competing models are identified at longer time scales.

  9. Dominant role of plant physiology in trend and variability of gross primary productivity in North America

    Science.gov (United States)

    Zhou, Sha; Zhang, Yao; Ciais, Philippe; Xiao, Xiangming; Luo, Yiqi; Caylor, Kelly K.; Huang, Yuefei; Wang, Guangqian

    2017-02-01

    Annual gross primary productivity (GPP) varies considerably due to climate-induced changes in plant phenology and physiology. However, the relative importance of plant phenology and physiology on annual GPP variation is not clear. In this study, a Statistical Model of Integrated Phenology and Physiology (SMIPP) was used to evaluate the relative contributions of maximum daily GPP (GPPmax) and the start and end of growing season (GSstart and GSend) to annual GPP variability, using a regional GPP product in North America during 2000–2014 and GPP data from 24 AmeriFlux sites. Climatic sensitivity of the three indicators was assessed to investigate the climate impacts on plant phenology and physiology. The SMIPP can explain 98% of inter-annual variability of GPP over mid- and high latitudes in North America. The long-term trend and inter-annual variability of GPP are dominated by GPPmax both at the ecosystem and regional scales. During warmer spring and autumn, GSstart is advanced and GSend delayed, respectively. GPPmax responds positively to summer temperature over high latitudes (40–80°N), but negatively in mid-latitudes (25–40°N). This study demonstrates that plant physiology, rather than phenology, plays a dominant role in annual GPP variability, indicating more attention should be paid to physiological change under futher climate change.

  10. Consistency Between Sun-Induced Chlorophyll Fluorescence and Gross Primary Production of Vegetation in North America

    Science.gov (United States)

    Zhang, Yao; Xiao, Xiangming; Jin, Cui; Dong, Jinwei; Zhou, Sha; Wagle, Pradeep; Joiner, Joanna; Guanter, Luis; Zhang, Yongguang; Zhang , Geli; Qin, Yuanwei; Wang, Jie; Moore, Berrien, III

    2016-01-01

    Accurate estimation of the gross primary production (GPP) of terrestrial ecosystems is vital for a better understanding of the spatial-temporal patterns of the global carbon cycle. In this study,we estimate GPP in North America (NA) using the satellite-based Vegetation Photosynthesis Model (VPM), MODIS (Moderate Resolution Imaging Spectrometer) images at 8-day temporal and 500 meter spatial resolutions, and NCEP-NARR (National Center for Environmental Prediction-North America Regional Reanalysis) climate data. The simulated GPP (GPP (sub VPM)) agrees well with the flux tower derived GPP (GPPEC) at 39 AmeriFlux sites (155 site-years). The GPP (sub VPM) in 2010 is spatially aggregated to 0.5 by 0.5-degree grid cells and then compared with sun-induced chlorophyll fluorescence (SIF) data from Global Ozone Monitoring Instrument 2 (GOME-2), which is directly related to vegetation photosynthesis. Spatial distribution and seasonal dynamics of GPP (sub VPM) and GOME-2 SIF show good consistency. At the biome scale, GPP (sub VPM) and SIF shows strong linear relationships (R (sup 2) is greater than 0.95) and small variations in regression slopes ((4.60-5.55 grams Carbon per square meter per day) divided by (milliwatts per square meter per nanometer per square radian)). The total annual GPP (sub VPM) in NA in 2010 is approximately 13.53 petagrams Carbon per year, which accounts for approximately 11.0 percent of the global terrestrial GPP and is within the range of annual GPP estimates from six other process-based and data-driven models (11.35-22.23 petagrams Carbon per year). Among the seven models, some models did not capture the spatial pattern of GOME-2 SIF data at annual scale, especially in Midwest cropland region. The results from this study demonstrate the reliable performance of VPM at the continental scale, and the potential of SIF data being used as a benchmark to compare with GPP models.

  11. Improving North American gross primary production (GPP) estimates using atmospheric measurements of carbonyl sulfide (COS)

    Science.gov (United States)

    Chen, Huilin; Montzka, Steve; Andrews, Arlyn; Sweeney, Colm; Jacobson, Andy; Miller, Ben; Masarie, Ken; Jung, Martin; Gerbig, Christoph; Campbell, Elliott; Abu-Naser, Mohammad; Berry, Joe; Baker, Ian; Tans, Pieter

    2013-04-01

    Understanding the responses of gross primary production (GPP) to climate change is essential for improving our prediction of climate change. To this end, it is important to accurately partition net ecosystem exchange of carbon into GPP and respiration. Recent studies suggest that carbonyl sulfide is a useful tracer to provide a constraint on GPP, based on the fact that both COS and CO2 are simultaneously taken up by plants and the quantitative correlation between GPP and COS plant uptake. We will present an assessment of North American GPP estimates from the Simple Biosphere (SiB) model, the Carnegie-Ames-Stanford Approach (CASA) model, and the MPI-BGC model through atmospheric transport simulations of COS in a receptor oriented framework. The newly upgraded Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) will be employed to compute the influence functions, i.e. footprints, to link the surface fluxes to the concentration changes at the receptor observations. The HYSPLIT is driven by the 3-hourly archived NAM 12km meteorological data from NOAA NCEP. The background concentrations are calculated using empirical curtains along the west coast of North America that have been created by interpolating in time and space the observations at the NOAA/ESRL marine boundary layer stations and from aircraft vertical profiles. The plant uptake of COS is derived from GPP estimates of biospheric models. The soil uptake and anthropogenic emissions are from Kettle et al. 2002. In addition, we have developed a new soil flux map of COS based on observations of molecular hydrogen (H2), which shares a common soil uptake term but lacks a vegetative sink. We will also improve the GPP estimates by assimilating atmospheric observations of COS in the receptor oriented framework, and then present the assessment of the improved GPP estimates against variations of climate variables such as temperature and precipitation.

  12. The Schroedinger functional for Gross-Neveu models

    Energy Technology Data Exchange (ETDEWEB)

    Leder, B.

    2007-04-18

    Gross-Neveu type models with a finite number of fermion flavours are studied on a two-dimensional Euclidean space-time lattice. The models are asymptotically free and are invariant under a chiral symmetry. These similarities to QCD make them perfect benchmark systems for fermion actions used in large scale lattice QCD computations. The Schroedinger functional for the Gross-Neveu models is defined for both, Wilson and Ginsparg-Wilson fermions, and shown to be renormalisable in 1-loop lattice perturbation theory. In two dimensions four fermion interactions of the Gross-Neveu models have dimensionless coupling constants. The symmetry properties of the four fermion interaction terms and the relations among them are discussed. For Wilson fermions chiral symmetry is explicitly broken and additional terms must be included in the action. Chiral symmetry is restored up to cut-off effects by tuning the bare mass and one of the couplings. The critical mass and the symmetry restoring coupling are computed to second order in lattice perturbation theory. This result is used in the 1-loop computation of the renormalised couplings and the associated beta-functions. The renormalised couplings are defined in terms of suitable boundary-to-boundary correlation functions. In the computation the known first order coefficients of the beta-functions are reproduced. One of the couplings is found to have a vanishing betafunction. The calculation is repeated for the recently proposed Schroedinger functional with exact chiral symmetry, i.e. Ginsparg-Wilson fermions. The renormalisation pattern is found to be the same as in the Wilson case. Using the regularisation dependent finite part of the renormalised couplings, the ratio of the Lambda-parameters is computed. (orig.)

  13. Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements

    Directory of Open Access Journals (Sweden)

    R. Raj

    2015-08-01

    Full Text Available Gross primary production (GPP, separated from flux tower measurements of net ecosystem exchange (NEE of CO2, is used increasingly to validate process-based simulators and remote sensing-derived estimates of simulated GPP at various time steps. Proper validation should include the uncertainty associated with this separation at different time steps. This can be achieved by using a Bayesian framework. In this study, we estimated the uncertainty in GPP at half hourly time steps. We used a non-rectangular hyperbola (NRH model to separate GPP from flux tower measurements of NEE at the Speulderbos forest site, The Netherlands. The NRH model included the variables that influence GPP, in particular radiation, and temperature. In addition, the NRH model provided a robust empirical relationship between radiation and GPP by including the degree of curvature of the light response curve. Parameters of the NRH model were fitted to the measured NEE data for every 10-day period during the growing season (April to October in 2009. Adopting a Bayesian approach, we defined the prior distribution of each NRH parameter. Markov chain Monte Carlo (MCMC simulation was used to update the prior distribution of each NRH parameter. This allowed us to estimate the uncertainty in the separated GPP at half-hourly time steps. This yielded the posterior distribution of GPP at each half hour and allowed the quantification of uncertainty. The time series of posterior distributions thus obtained allowed us to estimate the uncertainty at daily time steps. We compared the informative with non-informative prior distributions of the NRH parameters. The results showed that both choices of prior produced similar posterior distributions GPP. This will provide relevant and important information for the validation of process-based simulators in the future. Furthermore, the obtained posterior distributions of NEE and the NRH parameters are of interest for a range of applications.

  14. Improved assessment of gross and net primary productivity of Canada's landmass

    Science.gov (United States)

    Gonsamo, Alemu; Chen, Jing M.; Price, David T.; Kurz, Werner A.; Liu, Jane; Boisvenue, Céline; Hember, Robbie A.; Wu, Chaoyang; Chang, Kuo-Hsien

    2013-12-01

    assess Canada's gross primary productivity (GPP) and net primary productivity (NPP) using boreal ecosystem productivity simulator (BEPS) at 250 m spatial resolution with improved input parameter and driver fields and phenology and nutrient release parameterization schemes. BEPS is a process-based two-leaf enzyme kinetic terrestrial ecosystem model designed to simulate energy, water, and carbon (C) fluxes using spatial data sets of meteorology, remotely sensed land surface variables, soil properties, and photosynthesis and respiration rate parameters. Two improved key land surface variables, leaf area index (LAI) and land cover type, are derived at 250 m from Moderate Resolution Imaging Spectroradiometer sensor. For diagnostic error assessment, we use nine forest flux tower sites where all measured C flux, meteorology, and ancillary data sets are available. The errors due to input drivers and parameters are then independently corrected for Canada-wide GPP and NPP simulations. The optimized LAI use, for example, reduced the absolute bias in GPP from 20.7% to 1.1% for hourly BEPS simulations. Following the error diagnostics and corrections, daily GPP and NPP are simulated over Canada at 250 m spatial resolution, the highest resolution simulation yet for the country or any other comparable region. Total NPP (GPP) for Canada's land area was 1.27 (2.68) Pg C for 2008, with forests contributing 1.02 (2.2) Pg C. The annual comparisons between measured and simulated GPP show that the mean differences are not statistically significant (p > 0.05, paired t test). The main BEPS simulation error sources are from the driver fields.

  15. Complex saddles in the Gross-Witten-Wadia matrix model

    CERN Document Server

    Álvarez, Gabriel; Medina, Elena

    2016-01-01

    We give an exhaustive characterization of the complex saddle point configurations of the Gross-Witten-Wadia matrix model in the large-N limit. In particular, we characterize the cases in which the saddles accumulate in one, two, or three arcs, in terms of the values of the coupling constant and of the fraction of the total unit density that is supported in one of the arcs, and derive an explicit condition for gap closing associated to nonvacuum saddles. By applying the idea of large-N instanton we also give direct analytic derivations of the weak-coupling and strong-coupling instanton actions.

  16. Four loop renormalization of the Gross-Neveu model

    CERN Document Server

    Gracey, J A; Schroder, Y

    2016-01-01

    We renormalize the SU(N) Gross-Neveu model in the modified minimal subtraction (MSbar) scheme at four loops and determine the beta-function at this order. The theory ceases to be multiplicatively renormalizable when dimensionally regularized due to the generation of evanescent 4-fermi operators. The first of these appears at three loops and we correctly take their effect into account in deriving the renormalization group functions. We use the results to provide estimates of critical exponents relevant to phase transitions in graphene.

  17. Effects of foliage clumping on the estimation of global terrestrial gross primary productivity

    Science.gov (United States)

    Chen, Jing M.; Mo, Gang; Pisek, Jan; Liu, Jane; Deng, Feng; Ishizawa, Misa; Chan, Douglas

    2012-03-01

    Sunlit and shaded leaf separation proposed by Norman (1982) is an effective way to upscale from leaf to canopy in modeling vegetation photosynthesis. The Boreal Ecosystem Productivity Simulator (BEPS) makes use of this methodology, and has been shown to be reliable in modeling the gross primary productivity (GPP) derived from CO2flux and tree ring measurements. In this study, we use BEPS to investigate the effect of canopy architecture on the global distribution of GPP. For this purpose, we use not only leaf area index (LAI) but also the first ever global map of the foliage clumping index derived from the multiangle satellite sensor POLDER at 6 km resolution. The clumping index, which characterizes the degree of the deviation of 3-dimensional leaf spatial distributions from the random case, is used to separate sunlit and shaded LAI values for a given LAI. Our model results show that global GPP in 2003 was 132 ± 22 Pg C. Relative to this baseline case, our results also show: (1) global GPP is overestimated by 12% when accurate LAI is available but clumping is ignored, and (2) global GPP is underestimated by 9% when the effective LAI is available and clumping is ignored. The clumping effects in both cases are statistically significant (p < 0.001). The effective LAI is often derived from remote sensing by inverting the measured canopy gap fraction to LAI without considering the clumping. Global GPP would therefore be generally underestimated when remotely sensed LAI (actually effective LAI by our definition) is used. This is due to the underestimation of the shaded LAI and therefore the contribution of shaded leaves to GPP. We found that shaded leaves contribute 50%, 38%, 37%, 39%, 26%, 29% and 21% to the total GPP for broadleaf evergreen forest, broadleaf deciduous forest, evergreen conifer forest, deciduous conifer forest, shrub, C4 vegetation, and other vegetation, respectively. The global average of this ratio is 35%.

  18. Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data

    Science.gov (United States)

    Yuan, W.; Liu, S.; Yu, G.; Bonnefond, J.-M.; Chen, J.; Davis, K.; Desai, A.R.; Goldstein, Allen H.; Gianelle, D.; Rossi, F.; Suyker, A.E.; Verma, S.B.

    2010-01-01

    The simulation of gross primary production (GPP) at various spatial and temporal scales remains a major challenge for quantifying the global carbon cycle. We developed a light use efficiency model, called EC-LUE, driven by only four variables: normalized difference vegetation index (NDVI), photosynthetically active radiation (PAR), air temperature, and the Bowen ratio of sensible to latent heat flux. The EC-LUE model may have the most potential to adequately address the spatial and temporal dynamics of GPP because its parameters (i.e., the potential light use efficiency and optimal plant growth temperature) are invariant across the various land cover types. However, the application of the previous EC-LUE model was hampered by poor prediction of Bowen ratio at the large spatial scale. In this study, we substituted the Bowen ratio with the ratio of evapotranspiration (ET) to net radiation, and revised the RS-PM (Remote Sensing-Penman Monteith) model for quantifying ET. Fifty-four eddy covariance towers, including various ecosystem types, were selected to calibrate and validate the revised RS-PM and EC-LUE models. The revised RS-PM model explained 82% and 68% of the observed variations of ET for all the calibration and validation sites, respectively. Using estimated ET as input, the EC-LUE model performed well in calibration and validation sites, explaining 75% and 61% of the observed GPP variation for calibration and validation sites respectively. Global patterns of ET and GPP at a spatial resolution of 0.5?? latitude by 0.6?? longitude during the years 2000-2003 were determined using the global MERRA dataset (Modern Era Retrospective-Analysis for Research and Applications) and MODIS (Moderate Resolution Imaging Spectroradiometer). The global estimates of ET and GPP agreed well with the other global models from the literature, with the highest ET and GPP over tropical forests and the lowest values in dry and high latitude areas. However, comparisons with observed GPP

  19. Interplay of drought and tropical cyclone activity in SE U.S. gross primary productivity

    Science.gov (United States)

    Lowman, Lauren E. L.; Barros, Ana P.

    2016-06-01

    Tropical cyclones (TCs), often associated with massive flooding and landslides in the Southeast U.S. (SE U.S.), provide a significant input of freshwater to the hydrologic system, and their timing and trajectory significantly impact drought severity and persistence. This manuscript investigates the sensitivity of gross primary productivity (GPP) in the SE U.S. to TC activity using the 1-D column implementation of the Duke Coupled Hydrology Model with Vegetation (DCHM-V) including coupled water and energy cycles and a biochemical representation of photosynthesis. Decadal-scale simulations of water, energy, and carbon fluxes were conducted at high temporal (30 min) and spatial (4 km) resolution over the period 2002-2012. At local scales, model results without calibration compare well against AmeriFlux tower data. At regional scales, differences between the DCHM-V estimates and the Moderate Resolution Imaging Spectroradiometer GPP product reflect the spatial organization of soil hydraulic properties and soil moisture dynamics by physiographic region, highlighting the links between the water and carbon cycles. To isolate the contribution of TC precipitation to SE U.S. productivity, control forcing simulations are contrasted with simulations where periods of TC activity in the atmospheric forcing data were replaced with climatology. During wet years, TC activity impacts productivity in 40-50% of the SE U.S. domain and explains a regional GPP increase of 3-5 Mg C/m2 that is 9% of the warm season total. In dry years, 23-34% of the domain exhibits a smaller positive response that corresponds to 4-8% of the seasonal carbon uptake, depending on TC timing and trajectory.

  20. MODIS/TERRA MOD17A2 Gross Primary Productivity 8-Day L4 Global 1km

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The MODerate-resolution Imaging Spectroradiometer (MODIS) Gross Primary Productivity (GPP) products are a cumulative composite of GPP values based on the radiation...

  1. Sea Surface Temperature Influence on Terrestrial Gross Primary Production along the Southern California Current

    Science.gov (United States)

    Reimer, Janet J.; Vargas, Rodrigo; Rivas, David; Gaxiola-Castro, Gilberto; Hernandez-Ayon, J. Martin; Lara-Lara, Ruben

    2015-01-01

    Some land and ocean processes are related through connections (and synoptic-scale teleconnections) to the atmosphere. Synoptic-scale atmospheric (El Niño/Southern Oscillation [ENSO], Pacific Decadal Oscillation [PDO], and North Atlantic Oscillation [NAO]) decadal cycles are known to influence the global terrestrial carbon cycle. Potentially, smaller scale land-ocean connections influenced by coastal upwelling (changes in sea surface temperature) may be important for local-to-regional water-limited ecosystems where plants may benefit from air moisture transported from the ocean to terrestrial ecosystems. Here we use satellite-derived observations to test potential connections between changes in sea surface temperature (SST) in regions with strong coastal upwelling and terrestrial gross primary production (GPP) across the Baja California Peninsula. This region is characterized by an arid/semiarid climate along the southern California Current. We found that SST was correlated with the fraction of photosynthetic active radiation (fPAR; as a proxy for GPP) with lags ranging from 0 to 5 months. In contrast ENSO was not as strongly related with fPAR as SST in these coastal ecosystems. Our results show the importance of local-scale changes in SST during upwelling events, to explain the variability in GPP in coastal, water-limited ecosystems. The response of GPP to SST was spatially-dependent: colder SST in the northern areas increased GPP (likely by influencing fog formation), while warmer SST at the southern areas was associated to higher GPP (as SST is in phase with precipitation patterns). Interannual trends in fPAR are also spatially variable along the Baja California Peninsula with increasing secular trends in subtropical regions, decreasing trends in the most arid region, and no trend in the semi-arid regions. These findings suggest that studies and ecosystem process based models should consider the lateral influence of local-scale ocean processes that could

  2. Constraining Ecosystem Gross Primary Production and Transpiration with Measurements of Photosynthetic 13CO2 Discrimination

    Science.gov (United States)

    Blonquist, J. M.; Wingate, L.; Ogeé, J.; Bowling, D. R.

    2011-12-01

    The stable carbon isotope composition of atmospheric CO2 (δ13Ca) can provide useful information on water use efficiency (WUE) dynamics of terrestrial ecosystems and potentially constrain models of CO2 and water fluxes at the land surface. This is due to the leaf-level relationship between photosynthetic 13CO2 discrimination (Δ), which influences δ13Ca, and the ratio of leaf intercellular to atmospheric CO2 mole fractions (Ci / Ca), which is related to WUE and is determined by the balance between C assimilation (CO2 demand) and stomatal conductance (CO2 supply). We used branch-scale Δ derived from tunable diode laser absorption spectroscopy measurements collected in a Maritime pine forest to estimate Ci / Ca variations over an entire growing season. We combined Ci / Ca estimates with rates of gross primary production (GPP) derived from eddy covariance (EC) to estimate canopy-scale stomatal conductance (Gs) and transpiration (T). Estimates of T were highly correlated to T estimates derived from sapflow data (y = 1.22x + 0.08; r2 = 0.61; slope P MuSICA) (y = 0.88x - 0.05; r2 = 0.64; slope P MuSICA (y = 1.10 + 0.42; r2 = 0.50; slope P < 0.001). Results demonstrate that the leaf-level relationship between Δ and Ci / Ca can be extended to the canopy-scale and that Δ measurements have utility for partitioning ecosystem-scale CO2 and water fluxes.

  3. Testing the applicability of BIOME-BGC to simulate beech gross primary production in Europe using a new continental weather dataset

    DEFF Research Database (Denmark)

    Chiesi, Marta; Chirici, Gherardo; Marchetti, Marco

    2016-01-01

    A daily 1-km Pan-European weather dataset can drive the BIOME-BGC model for the estimation of current and future beech gross primary production (GPP). Annual beech GPP is affected primarily by spring temperature and more irregularly by summer water stress.The spread of beech forests in Europe enh...

  4. Full Phase Diagram of the Massive Gross-Neveu Model

    CERN Document Server

    Schnetz, O; Urlichs, K; Schnetz, Oliver; Thies, Michael; Urlichs, Konrad

    2006-01-01

    The massive Gross-Neveu model is solved in the large N limit at finite temperature and chemical potential. The scalar potential is given in terms of Jacobi elliptic functions. It contains three parameters which are determined by transcendental equations. Self-consistency of the scalar potential is proved. The phase diagram for non-zero bare quark mass is found to contain a kink-antikink crystal phase as well as a massive fermion gas phase featuring a cross-over from light to heavy effective fermion mass. For zero bare quark mass we recover the three known phases kink-antikink crystal, massless fermion gas, and massive fermion gas. All phase transitions are shown to be of second order. Equations for the phase boundaries are given and solved numerically. Implications on condensed matter physics are indicated where our results generalize the bipolaron lattice in non-degenerate conducting polymers to finite temperature.

  5. Evaluation of satellite based indices for gross primary production estimates in a sparse savanna in the Sudan

    Directory of Open Access Journals (Sweden)

    M. Sjöström

    2009-01-01

    Full Text Available One of the more frequently applied methods for integrating controls on primary production through satellite data is the Light Use Efficiency (LUE approach. Satellite indices such as the Normalized Difference Vegetation Index (NDVI, Enhanced Vegetation Index (EVI and the Shortwave Infrared Water Stress Index (SIWSI have previously shown promise as predictors of primary production in several different environments. In this study, we evaluate NDVI, EVI and SIWSI derived from the Moderate Resolution Imaging Spectroradiometer (MODIS satellite sensor against in-situ measurements from central Sudan in order to asses their applicability in LUE-based primary production modeling within a water limited environment. Results show a strong correlation between vegetation indices and gross primary production (GPP, demonstrating the significance of vegetation indices for deriving information on primary production with relatively high accuracy at similar areas. Evaluation of SIWSI however, reveal that the fraction of vegetation apparently is to low for the index to provide accurate information on canopy water content, indicating that the use of SIWSI as a predictor of water stress in satellite data-driven primary production modeling in similar semi-arid ecosystems is limited.

  6. A multi-sites analysis on the ozone effects on Gross Primary Production of European forests

    Energy Technology Data Exchange (ETDEWEB)

    Proietti, C. [Department of Environmental Biology, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Rome (Italy); Anav, A. [Italian National Agency for New Technologies, Energy and the Environment (ENEA), C.R. Casaccia, Via Anguillarese 301, 00123 S. Maria di Galeria, Rome (Italy); University of Exeter, College of Engineering, Mathematics and Physical Sciences, Exeter (United Kingdom); De Marco, A. [Italian National Agency for New Technologies, Energy and the Environment (ENEA), C.R. Casaccia, Via Anguillarese 301, 00123 S. Maria di Galeria, Rome (Italy); Sicard, P. [ACRI-HE, 260 route du Pin Montard BP234, 06904 Sophia Antipolis-cedex (France); Vitale, M., E-mail: marcello.vitale@uniroma1.it [Department of Environmental Biology, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Rome (Italy)

    2016-06-15

    Ozone (O{sub 3}) is both a greenhouse gas and a secondary air pollutant causing adverse impacts on forests ecosystems at different scales, from cellular to ecosystem level. Specifically, the phytotoxic nature of O{sub 3} can impair CO{sub 2} assimilation that, in turn affects forest productivity. This study aims to evaluate the effects of tropospheric O{sub 3} on Gross Primary Production (GPP) at 37 European forest sites during the time period 2000–2010. Due to the lack of carbon assimilation data at O{sub 3} monitoring stations (and vice-versa) this study makes a first attempt to combine high resolution MODIS Gross Primary Production (GPP) estimates and O{sub 3} measurement data. Partial Correlations, Anomalies Analysis and the Random Forests Analysis (RFA) were used to quantify the effects of tropospheric O{sub 3} concentration and its uptake on GPP and to evaluate the most important factors affecting inter-annual GPP changes. Our results showed, along a North-West/South-East European transect, a negative impact of O{sub 3} on GPP ranging from 0.4% to 30%, although a key role of meteorological parameters respect to pollutant variables in affecting GPP was found. In particular, meteorological parameters, namely air temperature (T), soil water content (SWC) and relative humidity (RH) are the most important predictors at 81% of test sites. Moreover, it is interesting to highlight a key role of SWC in the Mediterranean areas (Spanish, Italian and French test sites) confirming that, soil moisture and soil water availability affect vegetation growth and photosynthesis especially in arid or semi-arid ecosystems such as the Mediterranean climate regions. Considering the pivotal role of GPP in the global carbon balance and the O{sub 3} ability to reduce primary productivity of the forests, this study can help in assessing the O{sub 3} impacts on ecosystem services, including wood production and carbon sequestration. - Highlights: • Assessment of the surface O{sub 3

  7. A continuous hyperspatial monitoring system of evapotranspiration and gross primary productivity from Unmanned Aerial Systems

    Science.gov (United States)

    Wang, Sheng; Bandini, Filippo; Jakobsen, Jakob; Zarco-Tejada, Pablo J.; Köppl, Christian Josef; Haugård Olesen, Daniel; Ibrom, Andreas; Bauer-Gottwein, Peter; Garcia, Monica

    2017-04-01

    Unmanned Aerial Systems (UAS) can collect optical and thermal hyperspatial (signatures of the land surface, closely linked with the vegetation structure and functioning, are already part of models to predict Evapotranspiration (ET) and Gross Primary Productivity (GPP) from satellites. However, there remain challenges for an operational monitoring using UAS compared to satellites: the payload capacity of most commercial UAS is less than 2 kg, but miniaturized sensors have low signal to noise ratios and small field of view requires mosaicking hundreds of images and accurate orthorectification. In addition, wind gusts and lower platform stability require appropriate geometric and radiometric corrections. Finally, modeling fluxes on days without images is still an issue for both satellite and UAS applications. This study focuses on designing an operational UAS-based monitoring system including payload design, sensor calibration, based on routine collection of optical and thermal images in a Danish willow field to perform a joint monitoring of ET and GPP dynamics over continuous time at daily time steps. The payload (digital camera (Sony RX-100) used to retrieve accurate digital elevation models (DEMs) for multispectral and thermal image orthorectification, and a standard GNSS single frequency receiver (UBlox) or a real time kinematic double frequency system (Novatel Inc. flexpack6+OEM628). Geometric calibration of the digital and multispectral cameras was conducted to recover intrinsic camera parameters. After geometric calibration, accurate DEMs with vertical errors about 10cm could be retrieved. Radiometric calibration for the multispectral camera was conducted with an integrating sphere (Labsphere CSTM-USS-2000C) and the laboratory calibration showed that the camera measured radiance had a bias within ±4.8%. The thermal camera was calibrated using a black body at varying target and ambient temperatures and resulted in laboratory accuracy with RMSE of 0.95 K. A

  8. Marginal Lands Gross Primary Production Dominate Atmospheric CO2 Interannual Variations

    Science.gov (United States)

    Ahlström, A.; Raupach, M. R.; Schurgers, G.; Arneth, A.; Jung, M.; Reichstein, M.; Smith, B.

    2014-12-01

    Since the 1960s terrestrial ecosystems have acted as a substantial sink for atmospheric CO2, sequestering about one quarter of anthropogenic emissions in an average year. Variations in this land carbon sink are also responsible for most of the large interannual variability in atmospheric CO2 concentrations. While most evidence places the majority of the sink in highly productive forests and at high latitudes experiencing warmer and longer growing seasons, the location and the processes governing the interannual variations are still not well characterised. Here we evaluate the hypothesis that the long-term trend and the variability in the land CO2 sink are respectively dominated by geographically distinct regions: the sink by highly productive lands, mainly forests, and the variability by semi-arid or "marginal" lands where vegetation activity is strongly limited by water and therefore responds strongly to climate variability. Using novel analysis methods and data from both upscaled flux-tower measurements and a dynamic global vegetation model, we show that (1) the interannual variability in the terrestrial CO2 sink arises mainly from variability in terrestrial gross primary production (GPP); (2) most of the interannual variability in GPP arises in tropical and subtropical marginal lands, where negative anomalies are driven mainly by warm, dry conditions and positive anomalies by cool, wet conditions; (3) the variability in the GPP of high-latitude marginal lands (tundra and shrublands) is instead controlled by temperature and light, with warm bright conditions resulting in positive anomalies. The influence of ENSO (El Niño-Southern Oscillation) on the growth rate of atmospheric CO2 concentrations is mediated primarily through climatic effects on GPP in marginal lands, with opposite signs in subtropical and higher-latitude regions. Our results show that the land sink of CO2 (dominated by forests) and its interannual variability (dominated by marginal lands) are

  9. High sensitivity of gross primary production in the Rocky Mountains to summer rain

    Science.gov (United States)

    Berkelhammer, M.; Stefanescu, I.C.; Joiner, J.; Anderson, Lesleigh

    2017-01-01

    In the catchments of the Rocky Mountains, peak snowpack is declining in response to warmer spring temperatures. To understand how this will influence terrestrial gross primary production (GPP), we compared precipitation data across the intermountain west with satellite retrievals of solar-induced fluorescence (SIF), a proxy for GPP. Annual precipitation patterns explained most of the spatial and temporal variability of SIF, but the slope of the response was dependent on site to site differences in the proportion of snowpack to summer rain. We separated the response of SIF to different seasonal precipitation amounts and found that SIF was approximately twice as sensitive to variations in summer rain than snowpack. The response of peak GPP to a secular decline in snowpack will likely be subtle, whereas a change in summer rain amount will have precipitous effects on GPP. The study suggests that the rain use efficiency of Rocky Mountain ecosystems is strongly dependent on precipitation form and timing.

  10. Physical fitness of primary school children in the reflection of different levels of gross motor coordination

    Directory of Open Access Journals (Sweden)

    Ingrid Ružbarská

    2016-12-01

    Full Text Available Background: Lower level of motor competences may result in unsuccessful engaging of children in physical activities as early as pre-school age and also prepubescent ages. This may subsequently lead to a spiral of forming negative attitudes towards an active lifestyle and may be accompanied by a negative trend in weight status and physical fitness outcomes. Objective: The aim of the study was to identify and analyze differences in physical fitness and somatic parameters of primary school-aged children according to level of their gross motor coordination. Methods:  A sample of 436 children aged 7 to 10 years, of which were 222 girls and 214 boys, performed physical fitness tests - Eurofit test battery. The level of motor coordination was assessed using the test battery Körperkoordination-Test-für-Kinder (KTK. The anthropometric data (body mass, body height, sum of five skinfolds were measured. The one-way ANOVA was used to assess differences in physical fitness test items and anthropometry parameters between children with normal motor quotient (MQ ≥ 86 and decreased levels of gross motor coordination (MQ ≤ 85. Results: Research findings indicate a strongly negative trend in physical development of children with motor deficits (MQ ≤ 85. The results of ANOVA revealed significantly less favourable level of most of the assessed physical fitness parameters in children with decreased level of motor coordination. Conclusions: The findings suggest that physical fitness outcomes of primary school-aged children are associated with a lower level of motor coordination. Motor coordination probably plays an important role in preventing, or moderating the so-called negative trajectory leading to childhood overweight or obesity.

  11. Investigating the usefulness of satellite derived fluorescence data in inferring gross primary productivity within the carbon cycle data assimilation system

    Directory of Open Access Journals (Sweden)

    E. N. Koffi

    2015-01-01

    Full Text Available We investigate the utility of satellite measurements of chlorophyll fluorescence (Fs in constraining gross primary productivity (GPP. We ingest Fs measurements into the Carbon-Cycle Data Assimilation System (CCDAS which has been augmented by the fluorescence component of the Soil Canopy Observation, Photochemistry and Energy fluxes (SCOPE model. CCDAS simulates well the patterns of Fs suggesting the combined model is capable of ingesting these measurements. However simulated Fs is insensitive to the key parameter controlling GPP, the carboxylation capacity (Vcmax. Simulated Fs is sensitive to both the incoming absorbed photosynthetically active radiation (aPAR and leaf chlorophyll concentration both of which are treated as perfectly known in previous CCDAS versions. Proper use of Fs measurements therefore requires enhancement of CCDAS to include and expose these variables.

  12. Remote sensing-based estimation of gross primary production in a subalpine grassland

    Directory of Open Access Journals (Sweden)

    M. Rossini

    2012-02-01

    Full Text Available This study investigates the performances in a terrestrial ecosystem of gross primary production (GPP estimation of a suite of spectral vegetation indexes (VIs that can be computed from currently orbiting platforms. Vegetation indexes were computed from near-surface field spectroscopy measurements collected using an automatic system designed for high temporal frequency acquisition of spectral measurements in the visible near-infrared region. Spectral observations were collected for two consecutive years in Italy in a subalpine grassland equipped with an Eddy Covariance (EC flux tower which provides continuous measurements of net ecosystem carbon dioxide (CO2 exchange (NEE and the derived GPP.

    Different VIs were calculated based on ESA-MERIS and NASA-MODIS spectral bands and correlated with biophysical (Leaf Area Index, LAI; fraction of photosynthetically active radiation intercepted by green vegetation, fIPARg, biochemical (chlorophyll concentration and ecophysiological (green light-use efficiency, LUEg canopy variables. In this study, the normalized difference vegetation index (NDVI showed better correlations with LAI and fPARg (r = 0.90 and 0.95, respectively, the MERIS terrestrial chlorophyll index (MTCI with leaf chlorophyll content (r = 0.91 and the Photochemical Reflectance Index (PRI551, computed as (R531R551/(R531+R551 with LUEg (r = 0.64.

    Subsequently, these VIs were used to estimate GPP using different modelling solutions based on the light-use efficiency model describing the GPP as driven by the photosynthetically active radiation absorbed by green vegetation (APARg and by the efficiency (ε with which plants use the absorbed radiation to fix carbon via photosynthesis. Results show that GPP can be successfully modelled with a

  13. Remote sensing-based estimation of gross primary production in a subalpine grassland

    Directory of Open Access Journals (Sweden)

    M. Rossini

    2012-07-01

    Full Text Available This study investigates the performances in a terrestrial ecosystem of gross primary production (GPP estimation of a suite of spectral vegetation indexes (VIs that can be computed from currently orbiting platforms. Vegetation indexes were computed from near-surface field spectroscopy measurements collected using an automatic system designed for high temporal frequency acquisition of spectral measurements in the visible near-infrared region. Spectral observations were collected for two consecutive years in Italy in a subalpine grassland equipped with an eddy covariance (EC flux tower that provides continuous measurements of net ecosystem carbon dioxide (CO2 exchange (NEE and the derived GPP.

    Different VIs were calculated based on ESA-MERIS and NASA-MODIS spectral bands and correlated with biophysical (Leaf area index, LAI; fraction of photosynthetically active radiation intercepted by green vegetation, fIPARg, biochemical (chlorophyll concentration and ecophysiological (green light-use efficiency, LUEg canopy variables. In this study, the normalized difference vegetation index (NDVI was the index best correlated with LAI and fIPARg (r = 0.90 and 0.95, respectively, the MERIS terrestrial chlorophyll index (MTCI with leaf chlorophyll content (r = 0.91 and the photochemical reflectance index (PRI551, computed as (R531-R551/(R531+R551 with LUEg (r = 0.64.

    Subsequently, these VIs were used to estimate GPP using different modelling solutions based on Monteith's light-use efficiency model describing the GPP as driven by the photosynthetically active radiation absorbed by green vegetation (APARg and by the efficiency (ε with which plants use the absorbed radiation to fix carbon via photosynthesis. Results show that GPP can be successfully modelled

  14. Horava-Lifshitz-like Gross-Neveu model

    Science.gov (United States)

    Lima, A. M.; Mariz, T.; Martinez, R.; Nascimento, J. R.; Petrov, A. Yu.; Ribeiro, R. F.

    2017-03-01

    We describe a Horava-Lifshitz-like reformulated four-fermion Gross-Neveu model describing the dynamics of two-component spinors in (2 +1 )-dimensional space-time. Within our study, we introduce the Lagrange multiplier, study the gap equation (including the finite temperature case) which turns out to display essentially distinct behaviors for even and odd values of the critical exponent z , and show that the dynamical parity breaking occurs only for the odd z . We demonstrate that for any odd z , there exists a critical temperature at which the dynamical parity breaking disappears. Besides of this, we obtain the effective propagator and show that the resulting effective theory is renormalizable within the framework of the 1/N expansion for all values of z . As one more application of the dynamical parity breaking, we consider coupling of the vector field to the fermions in the case of a simplified spinor-vector coupling and discuss the generation of the Chern-Simons term.

  15. A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data

    Energy Technology Data Exchange (ETDEWEB)

    Xiao, Jingfeng [Purdue University; Zhuang, Qianlai [Purdue University; Law, Beverly E. [Oregon State University; Chen, Jiquan [University of Toledo, Toledo, OH; Baldocchi, D. D. [University of California, Berkeley; Ma, Siyan [University of California, Berkeley; Cook, David R. [Argonne National Laboratory (ANL); Oren, Ram [Duke University; Katul, G. G. [Duke University; Gu, Lianhong [ORNL

    2010-03-01

    The quantification of carbon fluxes between the terrestrial biosphere and the atmosphere is of scientific importance and also relevant to climate-policy making. Eddy covariance flux towers provide continuous measurements of ecosystem-level exchange of carbon dioxide spanning diurnal, synoptic, seasonal, and interannual time scales. However, these measurements only represent the fluxes at the scale of the tower footprint. Here we used remotely sensed data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to upscale gross primary productivity (GPP) data from eddy covariance flux towers to the continental scale. We first combined GPP and MODIS data for 42 AmeriFlux towers encompassing a wide range of ecosystem and climate types to develop a predictive GPP model using a regression tree approach. The predictive model was trained using observed GPP over the period 2000 2004, and was validated using observed GPP over the period 2005 2006 and leave-one-out cross-validation. Our model predicted GPP fairly well at the site level. We then used the model to estimate GPP for each 1 km 1 km cell across the U.S. for each 8-day interval over the period from February 2000 to December 2006 using MODIS data. Our GPP estimates provide a spatially and temporally continuous measure of gross primary production for the U.S. that is a highly constrained by eddy covariance flux data. Our study demonstrated that our empirical approach is effective for upscaling eddy flux GPP data to the continental scale and producing continuous GPP estimates across multiple biomes. With these estimates, we then examined the patterns, magnitude, and interannual variability of GPP. We estimated a gross carbon uptake between 6.91 and 7.33 Pg C yr 1 for the conterminous U.S. Drought, fires, and hurricanes reduced annual GPP at regional scales and could have a significant impact on the U.S. net ecosystem carbon exchange. The sources of the interannual variability of U.S. GPP were dominated by these

  16. Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area

    DEFF Research Database (Denmark)

    Westergaard-Nielsen, Andreas; Lund, Magnus; Hansen, Birger

    2013-01-01

    of these changes. This study investigates the ability to use automatic digital camera images (DCIs) as proxy data for gross primary production (GPP) in a complex low Arctic wetland site. Vegetation greenness computed from DCIs was found to correlate significantly (R2 = 0.62, p ... vegetation index (NDVI) product derived from the WorldView-2 satellite. An object-based classification based on a bi-temporal image composite was used to classify the study area into heath, copse, fen, and bedrock. Temporal evolution of vegetation greenness was evaluated and modeled with double sigmoid...... and GPP (R2 = 0.85, p cameras may be used as a cost-effective proxy for potential GPP in remote Arctic regions....

  17. Attributing regional trends of evapotranspiration and gross primary productivity with remote sensing: a case study in the North China Plain

    Science.gov (United States)

    Mo, Xingguo; Chen, Xuejuan; Hu, Shi; Liu, Suxia; Xia, Jun

    2017-01-01

    Attributing changes in evapotranspiration (ET) and gross primary productivity (GPP) is crucial for impact and adaptation assessment of the agro-ecosystems to climate change. Simulations with the VIP model revealed that annual ET and GPP slightly increased from 1981 to 2013 over the North China Plain. The tendencies of both ET and GPP were upward in the spring season, while they were weak and downward in the summer season. A complete factor analysis illustrated that the relative contributions of climatic change, CO2 fertilization, and management to the ET (GPP) trend were 56 (-32) %, -28 (25) %, and 68 (108) %, respectively. The decline of global radiation resulted from deteriorated aerosol and air pollution was the principal cause of GPP decline in summer, while air warming intensified the water cycle and advanced the plant productivity in the spring season. Generally, agronomic improvements were the principal drivers of crop productivity enhancement.

  18. Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set

    NARCIS (Netherlands)

    Verma, M.; Friedl, M.A.; Richardson, A.D.; Kiely, G.; Cescatti, A.; Law, B.E.; Wohlfahrt, G.; Gielen, G.; Roupsard, O.; Moors, E.J.

    2014-01-01

    Gross primary productivity (GPP) is the largest and most variable component of the global terrestrial carbon cycle. Repeatable and accurate monitoring of terrestrial GPP is therefore critical for quantifying dynamics in regional-to-global carbon budgets. Remote sensing provides high frequency

  19. Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set

    NARCIS (Netherlands)

    Verma, M.; Friedl, M.A.; Richardson, A.D.; Kiely, G.; Cescatti, A.; Law, B.E.; Wohlfahrt, G.; Gielen, G.; Roupsard, O.; Moors, E.J.

    2014-01-01

    Gross primary productivity (GPP) is the largest and most variable component of the global terrestrial carbon cycle. Repeatable and accurate monitoring of terrestrial GPP is therefore critical for quantifying dynamics in regional-to-global carbon budgets. Remote sensing provides high frequency observ

  20. Effects of canopy photosynthesis saturation on the estimation of gross primary productivity from MODIS data in a tropical forest

    DEFF Research Database (Denmark)

    Propastin, P.; Ibrom, Andreas; Knohl, A.;

    2012-01-01

    The Moderate Resolution Imaging Spectroradiometer (MODIS) gross primary production (GPP) product (GPPMOD17A2) was evaluated against GPP from the eddy covariance flux measurements (GPPm) at a CO2 flux tower test site in a tropical rainforest in Sulawesi, Indonesia. The dynamics of 8-day GPPMOD17A2...

  1. Multiscale analyses of solar-induced florescence and gross primary production

    Science.gov (United States)

    Wood, Jeffrey D.; Griffis, Timothy J.; Baker, John M.; Frankenberg, Christian; Verma, Manish; Yuen, Karen

    2017-01-01

    Solar-induced fluorescence (SIF) has shown great promise for probing spatiotemporal variations in terrestrial gross primary production (GPP), the largest component flux of the global carbon cycle. However, scale mismatches between SIF and ground-based GPP have posed challenges toward fully exploiting these data. We used SIF obtained at high spatial sampling rates and resolution by NASA's Orbiting Carbon Observatory-2 satellite to elucidate GPP-SIF relationships across space and time in the U.S. Corn Belt. Strong linear scaling functions (R2 ≥ 0.79) that were consistent across instantaneous to monthly time scales were obtained for corn ecosystems and for a heterogeneous landscape based on tall tower observations. Although the slope of the corn function was 56% higher than for the landscape, SIF was similar for corn (C4) and soybean (C3). Taken together, there is strong observational evidence showing robust linear GPP-SIF scaling that is sensitive to plant physiology but insensitive to the spatial or temporal scale.

  2. The Potential of Carbonyl Sulfide as a Tracer for Gross Primary Productivity at Flux Tower Sites

    Science.gov (United States)

    Blonquist, J.; Montzka, S. A.; Yakir, D.; Desai, A. R.; Dragoni, D.; Griffis, T. J.; Monson, R. K.; Munger, J. W.; Scott, R. L.; Bowling, D. R.

    2010-12-01

    Regional/continental scale studies of atmospheric carbonyl sulfide (OCS) seasonal dynamics and leaf level studies of plant OCS uptake have shown a close relationship to CO2 dynamics and uptake, suggesting potential for OCS as a tracer for gross primary productivity (GPP). Canopy CO2 and OCS differences (mole fraction within canopy minus that above canopy) at a temperate deciduous forest (Harvard Forest AmeriFlux site) were analyzed relative to net ecosystem exchange (NEE) and GPP, respectively. Canopy CO2 and OCS vertical gradients (CO2 and OCS differences divided by within and above canopy measurement height differences) were used to calculate ecosystem relative uptake (ERU; relative canopy OCS gradient divided by relative canopy CO2 gradient, where relative gradients are gradients normalized by above canopy mole fractions), from which GPP was estimated using an equation that assumes OCS follows the same physical pathway as CO2 into plant leaves and where GPP / NEE was proportional to OCS gradient / CO2 gradient. Additionally, canopy CO2 differences from five other AmeriFlux sites were analyzed, and OCS differences were projected from these differences (via an assumed ERU) to further evaluate OCS as a potential GPP tracer. At Harvard Forest, canopy CO2 differences were related to NEE (y = 0.041x + 0.046, r2 = 0.14, P ERU is potentially measurable with current grab-sample-based OCS measurement capabilities and may provide an alternative means of estimating GPP at flux tower sites.

  3. Joint control of terrestrial gross primary productivity by plant phenology and physiology.

    Science.gov (United States)

    Xia, Jianyang; Niu, Shuli; Ciais, Philippe; Janssens, Ivan A; Chen, Jiquan; Ammann, Christof; Arain, Altaf; Blanken, Peter D; Cescatti, Alessandro; Bonal, Damien; Buchmann, Nina; Curtis, Peter S; Chen, Shiping; Dong, Jinwei; Flanagan, Lawrence B; Frankenberg, Christian; Georgiadis, Teodoro; Gough, Christopher M; Hui, Dafeng; Kiely, Gerard; Li, Jianwei; Lund, Magnus; Magliulo, Vincenzo; Marcolla, Barbara; Merbold, Lutz; Montagnani, Leonardo; Moors, Eddy J; Olesen, Jørgen E; Piao, Shilong; Raschi, Antonio; Roupsard, Olivier; Suyker, Andrew E; Urbaniak, Marek; Vaccari, Francesco P; Varlagin, Andrej; Vesala, Timo; Wilkinson, Matthew; Weng, Ensheng; Wohlfahrt, Georg; Yan, Liming; Luo, Yiqi

    2015-03-03

    Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climate-carbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of biotic and abiotic factors operating mainly through changes in vegetation phenology and physiological processes. However, it is still unclear how plant phenology and physiology can be integrated to explain the spatiotemporal variability of terrestrial GPP. Based on analyses of eddy-covariance and satellite-derived data, we decomposed annual terrestrial GPP into the length of the CO2 uptake period (CUP) and the seasonal maximal capacity of CO2 uptake (GPPmax). The product of CUP and GPPmax explained >90% of the temporal GPP variability in most areas of North America during 2000-2010 and the spatial GPP variation among globally distributed eddy flux tower sites. It also explained GPP response to the European heatwave in 2003 (r(2) = 0.90) and GPP recovery after a fire disturbance in South Dakota (r(2) = 0.88). Additional analysis of the eddy-covariance flux data shows that the interbiome variation in annual GPP is better explained by that in GPPmax than CUP. These findings indicate that terrestrial GPP is jointly controlled by ecosystem-level plant phenology and photosynthetic capacity, and greater understanding of GPPmax and CUP responses to environmental and biological variations will, thus, improve predictions of GPP over time and space.

  4. 2,4-D and Glyphosate affect aquatic biofilm accrual, gross primary production, and community respiration

    Directory of Open Access Journals (Sweden)

    Lawton E. Shaw

    2016-10-01

    Full Text Available 2,4-Dichlorophenoxyacetic acid (2,4-D and glyphosate are widely used agricultural herbicides commonly found in surface waters near cultivated land. Field experiments were conducted to determine the effects of 2,4-D and glyphosate on biofilms in a pond next to agricultural land in Athabasca, Alberta. Contaminant-exposure substrates (CES consisted of GF/C glass fiber or a cellulose filter paper substrates placed on specimen jars filled with agar that contained low levels of nitrogen and phosphorus, and different concentrations (15, 9.0, 1.5 mM of either 2,4-D or glyphosate. Nutrients and herbicide diffused freely through the agar to the substrate surface. CES arrays were deployed 15 cm below the water surface for 22 days, after which biofilms were collected and biomass (chlorophyll a, autotroph gross primary production (GPP, and heterotroph community respiration (CR were measured. 2,4-D (15 mM caused significant decreases in rates of biomass accrual (−22%, GPP (−34%, and CR(−63%. Glyphosate (15 mM also caused significant decreases in rates of biomass accrual (−50%, GPP (−67%, and CR (−47%. For the contaminant concentrations used, mean flux rates are estimated to be between 50–700 ng cm−2 min−1.

  5. New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity

    Science.gov (United States)

    Frankenberg, Christian; Fisher, Joshua B.; Worden, John; Badgley, Grayson; Saatchi, Sassan S.; Lee, Jung-Eun; Toon, Geoffrey C.; Butz, André; Jung, Martin; Kuze, Akihiko; Yokota, Tatsuya

    2011-09-01

    Our ability to close the Earth's carbon budget and predict feedbacks in a warming climate depends critically on knowing where, when and how carbon dioxide is exchanged between the land and atmosphere. Terrestrial gross primary production (GPP) constitutes the largest flux component in the global carbon budget, however significant uncertainties remain in GPP estimates and its seasonality. Empirically, we show that global spaceborne observations of solar induced chlorophyll fluorescence - occurring during photosynthesis - exhibit a strong linear correlation with GPP. We found that the fluorescence emission even without any additional climatic or model information has the same or better predictive skill in estimating GPP as those derived from traditional remotely-sensed vegetation indices using ancillary data and model assumptions. In boreal summer the generally strong linear correlation between fluorescence and GPP models weakens, attributable to discrepancies in savannas/croplands (18-48% higher fluorescence-based GPP derived by simple linear scaling), and high-latitude needleleaf forests (28-32% lower fluorescence). Our results demonstrate that retrievals of chlorophyll fluorescence provide direct global observational constraints for GPP and open an entirely new viewpoint on the global carbon cycle. We anticipate that global fluorescence data in combination with consolidated plant physiological fluorescence models will be a step-change in carbon cycle research and enable an unprecedented robustness in the understanding of the current and future carbon cycle.

  6. An Evaluation of the MOD17 Gross Primary Production Algorithm in a Mangrove Forest

    Science.gov (United States)

    Wells, H.; Najjar, R.; Herrmann, M.; Fuentes, J. D.; Ruiz-Plancarte, J.

    2015-12-01

    Though coastal wetlands occupy a small fraction of the Earth's surface, they are extremely active ecosystems and play a significant role in the global carbon budget. However, coastal wetlands are still poorly understood, especially when compared to open-ocean and terrestrial ecosystems. This is partly due to the limited in situ observations in these areas. One of the ways around the limited in situ data is to use remote sensing products. Here we present the first evaluation of the MOD17 remote sensing algorithm of gross primary productivity (GPP) in a mangrove forest using data from a flux tower in the Florida Everglades. MOD17 utilizes remote sensing products from the Moderate Resolution Imaging Spectroradiometer and meteorological fields from the NCEP/DOE Reanalysis 2. MOD17 is found to capture the long-term mean and seasonal amplitude of GPP but has significant errors describing the interannual variability, intramonthly variability, and the phasing of the annual cycle in GPP. Regarding the latter, MOD17 overestimates GPP when salinity is high and underestimates it when it is low, consistent with the fact that MOD17 ignores salinity and salinity tends to decrease GPP. Including salinity in the algorithm would then most likely improve its accuracy. MOD17 also assumes that GPP is linear with respect to PAR (photosynthetically active radiation), which does not hold true in the mangroves. Finally, the estimated PAR and air temperature inputs to MOD17 were found to be significantly lower than observed. In summary, while MOD17 captures some aspects of GPP variability at this mangrove site, it appears to be doing so for the wrong reasons.

  7. Precipitation and Carbon-Water Coupling Jointly Control the Interannual Variability of Global Land Gross Primary Production

    Science.gov (United States)

    Zhang, Yao; Xiao, Xiangming; Guanter, Luis; Zhou, Sha; Ciais, Philippe; Joiner, Joanna; Sitch, Stephen; Wu, Xiaocui; Nabel, Julian; Dong, Jinwei; Kato, Etsushi; Jain, Atul K.; Wiltshire, Andy; Stocker, Benjamin D.

    2016-01-01

    Carbon uptake by terrestrial ecosystems is increasing along with the rising of atmospheric CO2 concentration. Embedded in this trend, recent studies suggested that the interannual variability (IAV) of global carbon fluxes may be dominated by semi-arid ecosystems, but the underlying mechanisms of this high variability in these specific regions are not well known. Here we derive an ensemble of gross primary production (GPP) estimates using the average of three data-driven models and eleven process-based models. These models are weighted by their spatial representativeness of the satellite-based solar-induced chlorophyll fluorescence (SIF). We then use this weighted GPP ensemble to investigate the GPP variability for different aridity regimes. We show that semi-arid regions contribute to 57% of the detrended IAV of global GPP. Moreover, in regions with higher GPP variability, GPP fluctuations are mostly controlled by precipitation and strongly coupled with evapotranspiration (ET). This higher GPP IAV in semi-arid regions is co-limited by supply (precipitation)-induced ET variability and GPP-ET coupling strength. Our results demonstrate the importance of semi-arid regions to the global terrestrial carbon cycle and posit that there will be larger GPP and ET variations in the future with changes in precipitation patterns and dryland expansion.

  8. Precipitation and carbon-water coupling jointly control the interannual variability of global land gross primary production

    Science.gov (United States)

    Zhang, Yao; Xiao, Xiangming; Guanter, Luis; Zhou, Sha; Ciais, Philippe; Joiner, Joanna; Sitch, Stephen; Wu, Xiaocui; Nabel, Julia; Dong, Jinwei; Kato, Etsushi; Jain, Atul K.; Wiltshire, Andy; Stocker, Benjamin D.

    2016-12-01

    Carbon uptake by terrestrial ecosystems is increasing along with the rising of atmospheric CO2 concentration. Embedded in this trend, recent studies suggested that the interannual variability (IAV) of global carbon fluxes may be dominated by semi-arid ecosystems, but the underlying mechanisms of this high variability in these specific regions are not well known. Here we derive an ensemble of gross primary production (GPP) estimates using the average of three data-driven models and eleven process-based models. These models are weighted by their spatial representativeness of the satellite-based solar-induced chlorophyll fluorescence (SIF). We then use this weighted GPP ensemble to investigate the GPP variability for different aridity regimes. We show that semi-arid regions contribute to 57% of the detrended IAV of global GPP. Moreover, in regions with higher GPP variability, GPP fluctuations are mostly controlled by precipitation and strongly coupled with evapotranspiration (ET). This higher GPP IAV in semi-arid regions is co-limited by supply (precipitation)-induced ET variability and GPP-ET coupling strength. Our results demonstrate the importance of semi-arid regions to the global terrestrial carbon cycle and posit that there will be larger GPP and ET variations in the future with changes in precipitation patterns and dryland expansion.

  9. How drought severity constrains gross primary production(GPP) and its partitioning among carbon pools in a Quercus ilex coppice?

    Science.gov (United States)

    Rambal, S.; Lempereur, M.; Limousin, J. M.; Martin-StPaul, N. K.; Ourcival, J. M.; Rodríguez-Calcerrada, J.

    2014-12-01

    The partitioning of photosynthates toward biomass compartments plays a crucial role in the carbon (C) sink function of forests. Few studies have examined how carbon is allocated toward plant compartments in drought-prone forests. We analyzed the fate of gross primary production (GPP) in relation to yearly water deficit in an old evergreen Mediterranean Quercus ilex coppice severely affected by water limitations. Carbon fluxes between the ecosystem and the atmosphere were measured with an eddy covariance flux tower running continuously since 2001. Discrete measurements of litterfall, stem growth and fAPAR allowed us to derive annual productions of leaves, wood, flowers and acorns, and an isometric relationship between stem and belowground biomass has been used to estimate perennial belowground growth. By combining eddy covariance fluxes with annual net primary productions (NPP), we managed to close a C budget and derive values of autotrophic, heterotrophic respirations and carbon-use efficiency (CUE; the ratio between NPP and GPP). Average values of yearly net ecosystem production (NEP), GPP and Reco were 282, 1259 and 977 g C m-2. The corresponding aboveground net primary production (ANPP) components were 142.5, 26.4 and 69.6 g C m-2 for leaves, reproductive effort (flowers and fruits) and stems, respectively. NEP, GPP and Reco were affected by annual water deficit. Partitioning to the different plant compartments was also impacted by drought, with a hierarchy of responses going from the most affected - the stem growth - to the least affected - the leaf production. The average CUE was 0.40, which is well in the range for Mediterranean-type forest ecosystems. CUE tended to decrease less drastically in response to drought than GPP and NPP did, probably due to drought acclimation of autotrophic respiration. Overall, our results provide a baseline for modeling the inter-annual variations of carbon fluxes and allocation in this widespread Mediterranean ecosystem, and

  10. Gross primary productivity of the true steppe in central Asia in relation to NDVI: scaling up CO2 fluxes

    Science.gov (United States)

    Gilmanov, Tagir G.; Johnson, Douglas A.; Saliendra, Nicanor Z.; Akshalov, Kanat; Wylie, Bruce K.

    2004-01-01

    Compared to other characteristics of CO2 exchange, gross primary productivity (P g ) is most directly related to photosynthetic activity. Until recently, it was considered difficult to obtain measurement-based P g . The objective of our study was to evaluate if P g can be estimated from continuous CO2 flux measurements using nonlinear identification of the nonrectangular hyperbolic model of ecosystem-scale, light-response curves. Estimates of P g and ecosystem respiration (R e ) were obtained using Bowen ratio– energy-balance measurements of CO2 exchange in a true-steppe ecosystem in northern Kazakhstan during four growing seasons (1998–2001). The maximum mean weekly apparent quantum yield (αmax) was 0.0388 mol CO2 mol photons and the maximum mean weekly P g was 28 g CO2/m2/day in July 2000. The highest mean weekly R e max (20 g CO2m2/day) was observed in July of both 1999 and 2000. Nighttime respiration calculated from daily respiration corrected for length of the dark period and temperature (using Q 10 = 2) was closely associated with measured nighttime respiration (R 2 = 0.67 to 0.93). The 4-year average annual gross primary production (GPP) was 1617 g CO2/m2/ year (range = 1308–1957). Ten-day normalized difference vegetation index corrected for the start of the season (NDVIsos) was closely associated with 10-day average P g (R 2 = 0.66 to 0.83), which was higher than R 2 values for regressions of mean 10-day net daytime fluxes on NDVIsos (0.55–0.72). This demonstrates the advantage of usingP g in scaling up flux-tower measurements compared to other characteristics (net daytime flux or net 24-h flux).

  11. Estimation of Crop Gross Primary Production (GPP). 2; Do Scaled (MODIS) Vegetation Indices Improve Performance?

    Science.gov (United States)

    Zhang, Qingyuan; Cheng, Yen-Ben; Lyapustin, Alexei I.; Wang, Yujie; Zhang, Xiaoyang; Suyker, Andrew; Verma, Shashi; Shuai, Yanmin; Middleton, Elizabeth M.

    2015-01-01

    Satellite remote sensing estimates of Gross Primary Production (GPP) have routinely been made using spectral Vegetation Indices (VIs) over the past two decades. The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), the green band Wide Dynamic Range Vegetation Index (WDRVIgreen), and the green band Chlorophyll Index (CIgreen) have been employed to estimate GPP under the assumption that GPP is proportional to the product of VI and photosynthetically active radiation (PAR) (where VI is one of four VIs: NDVI, EVI, WDRVIgreen, or CIgreen). However, the empirical regressions between VI*PAR and GPP measured locally at flux towers do not pass through the origin (i.e., the zero X-Y value for regressions). Therefore they are somewhat difficult to interpret and apply. This study investigates (1) what are the scaling factors and offsets (i.e., regression slopes and intercepts) between the fraction of PAR absorbed by chlorophyll of a canopy (fAPARchl) and the VIs, and (2) whether the scaled VIs developed in (1) can eliminate the deficiency and improve the accuracy of GPP estimates. Three AmeriFlux maize and soybean fields were selected for this study, two of which are irrigated and one is rainfed. The four VIs and fAPARchl of the fields were computed with the MODerate resolution Imaging Spectroradiometer (MODIS) satellite images. The GPP estimation performance for the scaled VIs was compared to results obtained with the original VIs and evaluated with standard statistics: the coefficient of determination (R2), the root mean square error (RMSE), and the coefficient of variation (CV). Overall, the scaled EVI obtained the best performance. The performance of the scaled NDVI, EVI and WDRVIgreen was improved across sites, crop types and soil/background wetness conditions. The scaled CIgreen did not improve results, compared to the original CIgreen. The scaled green band indices (WDRVIgreen, CIgreen) did not exhibit superior performance to either the

  12. Estimating of gross primary production in an Amazon-Cerrado transitional forest using MODIS and Landsat imagery.

    Science.gov (United States)

    Danelichen, Victor H M; Biudes, Marcelo S; Velasque, Maísa C S; Machado, Nadja G; Gomes, Raphael S R; Vourlitis, George L; Nogueira, José S

    2015-09-01

    The acceleration of the anthropogenic activity has increased the atmospheric carbon concentration, which causes changes in regional climate. The Gross Primary Production (GPP) is an important variable in the global carbon cycle studies, since it defines the atmospheric carbon extraction rate from terrestrial ecosystems. The objective of this study was to estimate the GPP of the Amazon-Cerrado Transitional Forest by the Vegetation Photosynthesis Model (VPM) using local meteorological data and remote sensing data from MODIS and Landsat 5 TM reflectance from 2005 to 2008. The GPP was estimated using Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) calculated by MODIS and Landsat 5 TM images. The GPP estimates were compared with measurements in a flux tower by eddy covariance. The GPP measured in the tower was consistent with higher values during the wet season and there was a trend to increase from 2005 to 2008. The GPP estimated by VPM showed the same increasing trend observed in measured GPP and had high correlation and Willmott's coefficient and low error metrics in comparison to measured GPP. These results indicated high potential of the Landsat 5 TM images to estimate the GPP of Amazon-Cerrado Transitional Forest by VPM.

  13. Estimating of gross primary production in an Amazon-Cerrado transitional forest using MODIS and Landsat imagery

    Directory of Open Access Journals (Sweden)

    VICTOR H.M. DANELICHEN

    2015-09-01

    Full Text Available The acceleration of the anthropogenic activity has increased the atmospheric carbon concentration, which causes changes in regional climate. The Gross Primary Production (GPP is an important variable in the global carbon cycle studies, since it defines the atmospheric carbon extraction rate from terrestrial ecosystems. The objective of this study was to estimate the GPP of the Amazon-Cerrado Transitional Forest by the Vegetation Photosynthesis Model (VPM using local meteorological data and remote sensing data from MODIS and Landsat 5 TM reflectance from 2005 to 2008. The GPP was estimated using Normalized Difference Vegetation Index (NDVI and Enhanced Vegetation Index (EVI calculated by MODIS and Landsat 5 TM images. The GPP estimates were compared with measurements in a flux tower by eddy covariance. The GPP measured in the tower was consistent with higher values during the wet season and there was a trend to increase from 2005 to 2008. The GPP estimated by VPM showed the same increasing trend observed in measured GPP and had high correlation and Willmott's coefficient and low error metrics in comparison to measured GPP. These results indicated high potential of the Landsat 5 TM images to estimate the GPP of Amazon-Cerrado Transitional Forest by VPM.

  14. Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers.

    Science.gov (United States)

    Sippel, Sebastian; Lange, Holger; Mahecha, Miguel D; Hauhs, Michael; Bodesheim, Paul; Kaminski, Thomas; Gans, Fabian; Rosso, Osvaldo A

    2016-01-01

    Data analysis and model-data comparisons in the environmental sciences require diagnostic measures that quantify time series dynamics and structure, and are robust to noise in observational data. This paper investigates the temporal dynamics of environmental time series using measures quantifying their information content and complexity. The measures are used to classify natural processes on one hand, and to compare models with observations on the other. The present analysis focuses on the global carbon cycle as an area of research in which model-data integration and comparisons are key to improving our understanding of natural phenomena. We investigate the dynamics of observed and simulated time series of Gross Primary Productivity (GPP), a key variable in terrestrial ecosystems that quantifies ecosystem carbon uptake. However, the dynamics, patterns and magnitudes of GPP time series, both observed and simulated, vary substantially on different temporal and spatial scales. We demonstrate here that information content and complexity, or Information Theory Quantifiers (ITQ) for short, serve as robust and efficient data-analytical and model benchmarking tools for evaluating the temporal structure and dynamical properties of simulated or observed time series at various spatial scales. At continental scale, we compare GPP time series simulated with two models and an observations-based product. This analysis reveals qualitative differences between model evaluation based on ITQ compared to traditional model performance metrics, indicating that good model performance in terms of absolute or relative error does not imply that the dynamics of the observations is captured well. Furthermore, we show, using an ensemble of site-scale measurements obtained from the FLUXNET archive in the Mediterranean, that model-data or model-model mismatches as indicated by ITQ can be attributed to and interpreted as differences in the temporal structure of the respective ecological time

  15. Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers

    Science.gov (United States)

    Sippel, Sebastian; Mahecha, Miguel D.; Hauhs, Michael; Bodesheim, Paul; Kaminski, Thomas; Gans, Fabian; Rosso, Osvaldo A.

    2016-01-01

    Data analysis and model-data comparisons in the environmental sciences require diagnostic measures that quantify time series dynamics and structure, and are robust to noise in observational data. This paper investigates the temporal dynamics of environmental time series using measures quantifying their information content and complexity. The measures are used to classify natural processes on one hand, and to compare models with observations on the other. The present analysis focuses on the global carbon cycle as an area of research in which model-data integration and comparisons are key to improving our understanding of natural phenomena. We investigate the dynamics of observed and simulated time series of Gross Primary Productivity (GPP), a key variable in terrestrial ecosystems that quantifies ecosystem carbon uptake. However, the dynamics, patterns and magnitudes of GPP time series, both observed and simulated, vary substantially on different temporal and spatial scales. We demonstrate here that information content and complexity, or Information Theory Quantifiers (ITQ) for short, serve as robust and efficient data-analytical and model benchmarking tools for evaluating the temporal structure and dynamical properties of simulated or observed time series at various spatial scales. At continental scale, we compare GPP time series simulated with two models and an observations-based product. This analysis reveals qualitative differences between model evaluation based on ITQ compared to traditional model performance metrics, indicating that good model performance in terms of absolute or relative error does not imply that the dynamics of the observations is captured well. Furthermore, we show, using an ensemble of site-scale measurements obtained from the FLUXNET archive in the Mediterranean, that model-data or model-model mismatches as indicated by ITQ can be attributed to and interpreted as differences in the temporal structure of the respective ecological time

  16. Integrable Gross-Neveu models with fermion-fermion and fermion-antifermion pairing

    CERN Document Server

    Thies, Michael

    2014-01-01

    The massless Gross-Neveu and chiral Gross-Neveu models are well known examples of integrable quantum field theories in 1+1 dimensions. We address the question whether integrability is preserved if one either replaces the four-fermion interaction in fermion-antifermion channels by a dual interaction in fermion-fermion channels, or if one adds such a dual interaction to an existing integrable model. The relativistic Hartree-Fock-Bogoliubov approach is adequate to deal with the large N limit of such models. In this way, we construct and solve three integrable models with Cooper pairing. We also identify a candidate for a fourth integrable model with maximal kinematic symmetry, the "perfect" Gross-Neveu model. This type of field theories can serve as exactly solvable toy models for color superconductivity in quantum chromodynamics.

  17. Comparison of Gross Primary Productivity Derived from GIMMS NDVI3g, GIMMS, and MODIS in Southeast Asia

    Directory of Open Access Journals (Sweden)

    Junbang Wang

    2014-03-01

    Full Text Available Gross primary production (GPP plays an important role in the net ecosystem exchange of CO2 between the atmosphere and terrestrial ecosystems. It is particularly important to monitor GPP in Southeast Asia because of increasing rates of tropical forest degradation and deforestation in the region in recent decades. The newly available, improved, third generation Normalized Difference Vegetation Index (NDVI3g from the Global Inventory Modelling and Mapping Studies (GIMMS group provides a long temporal dataset, from July 1981 to December 2011, for terrestrial carbon cycle and climate response research. However, GIMMS NDVI3g-based GPP estimates are not yet available. We applied the GLOPEM-CEVSA model, which integrates an ecosystem process model and a production efficiency model, to estimate GPP in Southeast Asia based on three independent results of the fraction of photosynthetically active radiation absorbed by vegetation (FPAR from GIMMS NDVI3g (GPPNDVI3g, GIMMS NDVI1g (GPPNDVI1g, and the Moderate Resolution Imaging Spectroradiometer (MODIS MOD15A2 FPAR product (GPPMOD15. The GPP results were validated using ground data from eddy flux towers located in different forest biomes, and comparisons were made among the three GPPs as well as the MOD17A2 GPP products (GPPMOD17. Based on validation with flux tower derived GPP estimates the results show that GPPNDVI3g is more accurate than GPPNDVI1g and is comparable in accuracy with GPPMOD15. In addition, GPPNDVI3g and GPPMOD15 have good spatial-temporal consistency. Our results indicate that GIMMS NDVI3g is an effective dataset for regional GPP simulation in Southeast Asia, capable of accurately tracking the variation and trends in long-term terrestrial ecosystem GPP dynamics.

  18. MODIS/TERRA MOD17A2H Gross Primary Productivity 8-Day L4 Global 500m SIN Grid Version 6

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The version 6 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter pixel size based on the radiation-use efficiency...

  19. MODIS/AQUA MYD17A2H Gross Primary Productivity 8-Day L4 Global 500m SIN Grid Version 6

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The version 6 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter pixel size based on the radiation-use efficiency...

  20. Macroeconomic Models used in the Structural Analysis of the Gross Domestic Product

    Directory of Open Access Journals (Sweden)

    Constantin Anghelache

    2013-07-01

    Full Text Available This paper describes a use case for macro economical models, the objective being the structural analysis of the Gross Domestic Product. The authors offer a snapshot on GDP evolution, the econometric models proposed for analysis are designed with the help of EViews software. Its performances are determined through the optics of the statistical tests.

  1. Scattering and duality in the 2 dimensional OSp(2|2) gross neveu and sigma models

    NARCIS (Netherlands)

    Saleur, H.; Pozsgay, B.

    2010-01-01

    We write the thermodynamic Bethe ansatz for the massive OSp(2|2) Gross Neveu and sigma models. We find evidence that the GN S matrix proposed by Bassi and Leclair [12] is the correct one. We determine features of the sigma model S matrix, which seem highly unconventional; we conjecture in particular

  2. No First-Order Phase Transition in the Gross-Neveu Model?

    CERN Document Server

    Brzoska, A; Brzoska, Andrej; Thies, Michael

    2002-01-01

    Within a variational calculation we investigate the role of baryons for the structure of dense matter in the Gross-Neveu model. We construct a trial ground state at finite baryon density which breaks translational invariance. Its scalar potential interpolates between widely spaced kinks and antikinks at low density and the value zero at infinite density. Its energy is lower than the one of the standard Fermi gas at all densities considered. This suggests that the discrete gamma_5 symmetry of the Gross-Neveu model does not get restored in a first order phase transition at finite density, at variance with common wisdom.

  3. Evaluating the role of land cover and climate uncertainties in computing gross primary production in Hawaiian Island ecosystems

    Science.gov (United States)

    Kimball, Heather L.; Selmants, Paul; Moreno, Alvaro; Running Steve W,; Giardina, Christian P.

    2017-01-01

    Gross primary production (GPP) is the Earth’s largest carbon flux into the terrestrial biosphere and plays a critical role in regulating atmospheric chemistry and global climate. The Moderate Resolution Imaging Spectrometer (MODIS)-MOD17 data product is a widely used remote sensing-based model that provides global estimates of spatiotemporal trends in GPP. When the MOD17 algorithm is applied to regional scale heterogeneous landscapes, input data from coarse resolution land cover and climate products may increase uncertainty in GPP estimates, especially in high productivity tropical ecosystems. We examined the influence of using locally specific land cover and high-resolution local climate input data on MOD17 estimates of GPP for the State of Hawaii, a heterogeneous and discontinuous tropical landscape. Replacing the global land cover data input product (MOD12Q1) with Hawaii-specific land cover data reduced statewide GPP estimates by ~8%, primarily because the Hawaii-specific land cover map had less vegetated land area compared to the global land cover product. Replacing coarse resolution GMAO climate data with Hawaii-specific high-resolution climate data also reduced statewide GPP estimates by ~8% because of the higher spatial variability of photosynthetically active radiation (PAR) in the Hawaii-specific climate data. The combined use of both Hawaii-specific land cover and high-resolution Hawaii climate data inputs reduced statewide GPP by ~16%, suggesting equal and independent influence on MOD17 GPP estimates. Our sensitivity analyses within a heterogeneous tropical landscape suggest that refined global land cover and climate data sets may contribute to an enhanced MOD17 product at a variety of spatial scales.

  4. Evaluating the role of land cover and climate uncertainties in computing gross primary production in Hawaiian Island ecosystems.

    Science.gov (United States)

    Kimball, Heather L; Selmants, Paul C; Moreno, Alvaro; Running, Steve W; Giardina, Christian P

    2017-01-01

    Gross primary production (GPP) is the Earth's largest carbon flux into the terrestrial biosphere and plays a critical role in regulating atmospheric chemistry and global climate. The Moderate Resolution Imaging Spectrometer (MODIS)-MOD17 data product is a widely used remote sensing-based model that provides global estimates of spatiotemporal trends in GPP. When the MOD17 algorithm is applied to regional scale heterogeneous landscapes, input data from coarse resolution land cover and climate products may increase uncertainty in GPP estimates, especially in high productivity tropical ecosystems. We examined the influence of using locally specific land cover and high-resolution local climate input data on MOD17 estimates of GPP for the State of Hawaii, a heterogeneous and discontinuous tropical landscape. Replacing the global land cover data input product (MOD12Q1) with Hawaii-specific land cover data reduced statewide GPP estimates by ~8%, primarily because the Hawaii-specific land cover map had less vegetated land area compared to the global land cover product. Replacing coarse resolution GMAO climate data with Hawaii-specific high-resolution climate data also reduced statewide GPP estimates by ~8% because of the higher spatial variability of photosynthetically active radiation (PAR) in the Hawaii-specific climate data. The combined use of both Hawaii-specific land cover and high-resolution Hawaii climate data inputs reduced statewide GPP by ~16%, suggesting equal and independent influence on MOD17 GPP estimates. Our sensitivity analyses within a heterogeneous tropical landscape suggest that refined global land cover and climate data sets may contribute to an enhanced MOD17 product at a variety of spatial scales.

  5. Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile dataset

    Directory of Open Access Journals (Sweden)

    M. Verma

    2013-07-01

    Full Text Available Gross primary productivity (GPP is the largest and most variable component of the global terrestrial carbon cycle. Repeatable and accurate monitoring of terrestrial GPP is therefore critical for quantifying dynamics in regional-to-global carbon budgets. Remote sensing provides high frequency observations of terrestrial ecosystems and is widely used to monitor and model spatiotemporal variability in ecosystem properties and processes that affect terrestrial GPP. We used data from the Moderate Resolution Imaging Spectroradiometer (MODIS and FLUXNET to assess how well four metrics derived from remotely sensed vegetation indices (hereafter referred to as proxies and six remote sensing-based models capture spatial and temporal variations in annual GPP. Specifically, we used the FLUXNET "La Thuile" data set, which includes several times more sites (144 and site years (422 than previous efforts have used. Our results show that remotely sensed proxies and modeled GPP are able to capture statistically significant amounts of spatial variation in mean annual GPP in every biome except croplands, but that the total variance explained differed substantially across biomes (R2 ≈ 0.1−0.8. The ability of remotely sensed proxies and models to explain interannual variability GPP was even more limited. Remotely sensed proxies explained 40–60% of interannual variance in annual GPP in moisture-limited biomes including grasslands and shrublands. However, none of the models or remotely sensed proxies explained statistically significant amounts of interannual variation in GPP in croplands, evergreen needleleaf forests, and deciduous broadleaf forests. Because important factors that affect year-to-year variation in GPP are not explicitly captured or included in the remote sensing proxies and models we examined (e.g., interactions between biotic and abiotic conditions, and lagged ecosystems responses to environmental process, our results are not surprising

  6. Explicit chiral symmetry breaking in Gross-Neveu type models

    Energy Technology Data Exchange (ETDEWEB)

    Boehmer, Christian

    2011-07-25

    This thesis is devoted to the study of a 1+1-dimensional, fermionic quantum field theory with Lagrangian L= anti {psi}i{gamma}{sup {mu}}{partial_derivative}{sub {mu}}{psi}-m{sub 0} anti {psi}{psi}+(g{sup 2})/(2)(anti {psi}{psi}){sup 2}+(G{sup 2})/(2)(anti {psi}i{gamma}{sub 5}{psi}){sup 2} in the limit of an infinite number of flavors, using semiclassical methods. The main goal of the present work was to see what changes if we allow for explicit chiral symmetry breaking, either by a bare mass term, or a splitting of the scalar and pseudo-scalar coupling constants, or both. In the first case, this becomes the massive NJL{sub 2} model. In the 2nd and 3rd cases we are dealing with a model largely unexplored so far. The first half of this thesis deals with the massive NJL{sub 2} model. Before attacking the phase diagram, it was necessary to determine the baryons of the model. We have carried out full numerical Hartree-Fock calculations including the Dirac sea. The most important result is the first complete phase diagram of the massive NJL{sub 2} model in ({mu},T,{gamma}) space, where {gamma} arises from m{sub 0} through mass renormalization. In the 2nd half of the thesis we have studied a generalization of the massless NJL{sub 2} model with two different (scalar and pseudoscalar) coupling constants, first in the massless version. Renormalization of the 2 coupling constants leads to the usual dynamical mass by dynamical transmutation, but in addition to a novel {xi} parameter interpreted as chiral quenching parameter. As far as baryon structure is concerned, the most interesting result is the fact that the new baryons interpolate between the kink of the GN model and the massless baryon of the NJL{sub 2} model, always carrying fractional baryon number 1/2. The phase diagram of the massless model with 2 coupling constants has again been determined numerically. At zero temperature we have also investigated the massive, generalized GN model with 3 parameters. It is well

  7. The phase diagram of the massive Gross-Neveu model, revisited

    CERN Document Server

    Schnetz, O; Urlichs, K; Schnetz, Oliver; Thies, Michael; Urlichs, Konrad

    2005-01-01

    The massive Gross-Neveu model is solved in the large N limit at finite temperature and chemical potential. The phase diagram features a kink-antikink crystal phase which was missed in previous works. Translated into the framework of condensed matter physics our results generalize the bipolaron lattice in non-degenerate conducting polymers to finite temperature.

  8. New global observations of the terrestrial carbon cycle from GOSAT: Patterns of vegetation fluorescence with gross primary productivity

    Science.gov (United States)

    Frankenberg, C.; Fisher, J. B.; Lee, J.; Guanter, L.; Van der Tol, C.; Toon, G. C.; kuze, A.; Yokota, T.; Badgley, G. M.; Butz, A.; Jung, M.; Saatchi, S. S.; Worden, J.

    2011-12-01

    Our ability to close the Earth's carbon budget and predict feedbacks in a warming climate depends critically on knowing where, when and how carbon dioxide is exchanged between the land and atmosphere. Terrestrial gross primary production (GPP) constitutes the largest flux component in the global carbon budget, however significant uncertainties remain in GPP estimates and its seasonality. Solar-induced chlorophyll fluorescence is a powerful proxy for assessing biomass photosynthetic activity since photosynthesis and fluorescence are directly coupled processes. This gives rise to re-emission of light between approximately 670 and 780 nm. Passive methods to quantify the fluorescence signal are mainly based on the filling-in of highly saturated O2 absorption structures. This method, however, was mostly applied in field-based measurements and is not directly applicable to space-borne retrievals. We show that variability of aerosols in the atmosphere load and surface pressure cannot be unequivocally disentangled from fluorescence since all these factor impact the absorption depths of O2 lines. This gives rise to biases in the retrieved scattering properties in typical multi-spectral XCO2 retrievals when using the O2 A band but not when focussing solely of solar Fraunhofer lines. We will a) present our retrieval method based on an iterative, non-linear least-squares fitting of Fraunhofer lines, b) discuss the potential impact on XCO2 retrievals and c) show recent fluorescence results from more than one year of GOSAT data. Empirically, we show that global spaceborne observations of solar induced chlorophyll fluorescence exhibit a strong linear correlation with GPP. We found that the fluorescence emission even without any additional meteorological, vegetation type or model information has the same or better predictive skill in estimating GPP as those derived from traditional remotely-sensed vegetation indices using ancillary data and model assumptions. Our results

  9. Integrating Chlorophyll fapar and Nadir Photochemical Reflectance Index from EO-1/Hyperion to Predict Cornfield Daily Gross Primary Production

    Science.gov (United States)

    Zhang, Qingyuan; Middleton, Elizabeth M.; Cheng, Yen-Ben; Huemmrich, K. Fred; Cook, Bruce D.; Corp, Lawrence A.; Kustas, William P.; Russ, Andrew L.; Prueger, John H.; Yao, Tian

    2016-01-01

    The concept of light use efficiency (Epsilon) and the concept of fraction of photosynthetically active ration (PAR) absorbed for vegetation photosynthesis (PSN), i.e., fAPAR (sub PSN), have been widely utilized to estimate vegetation gross primary productivity (GPP). It has been demonstrated that the photochemical reflectance index (PRI) is empirically related to e. An experimental US Department of Agriculture (USDA) cornfield in Maryland was selected as our study field. We explored the potential of integrating fAPAR(sub chl) (defined as the fraction of PAR absorbed by chlorophyll) and nadir PRI (PRI(sub nadir)) to predict cornfield daily GPP. We acquired nadir or near-nadir EO-1/Hyperion satellite images that covered the cornfield and took nadir in-situ field spectral measurements. Those data were used to derive the PRI(sub nadir) and fAPAR (sub chl). The fAPAR (sub chl) is retrieved with the advanced radiative transfer model PROSAIL2 and the Metropolis approach, a type of Markov Chain Monte Carlo (MCMC) estimation procedure. We define chlorophyll light use efficiency Epsilon (sub chl) as the ratio of vegetation GPP as measured by eddy covariance techniques to PAR absorbed by chlorophyll (Epsilon(sub chl) = GPP/APAR (sub chl). Daily Epsilon (sub chl) retrieved with the EO-1 Hyperion images was regressed with a linear equation of PRI (sub nadir) Epsilon (sub chl) = Alpha × PRI (sub nadir) + Beta). The satellite Epsilon(sub chl- PRI (sub nadir) linear relationship for the cornfield was implemented to develop an integrated daily GPP model [GPP = (Alpha × PRI(sub nadir) + Beta) × fAPAR (sub chl) × PAR], which was evaluated with fAPAR (sub chl) and PRI (sub nadir) retrieved from field measurements. Daily GPP estimated with this fAPAR (sub chl-) PRI (nadir) integration model was strongly correlated with the observed tower in-situ daily GPP (R(sup 2) = 0.93); with a root mean square error (RMSE) of 1.71 g C mol-(sup -1) PPFD and coefficient of variation (CV) of 16

  10. Analytical solution of the Gross-Neveu model at finite density

    CERN Document Server

    Thies, M

    2003-01-01

    Recent numerical calculations have shown that the ground state of the Gross-Neveu model at finite density is a crystal. Guided by these results, we can now present the analytical solution to this problem in terms of elliptic functions. The scalar potential is the superpotential of the non-relativistic Lame Hamiltonian. This model can also serve as analytically solvable toy model for a relativistic superconductor in the Larkin-Ovchinnikov-Fulde-Ferrell phase.

  11. Gross primary production dynamics assessment of a mediterranean holm oak forest by remote sensing time series analysis

    Science.gov (United States)

    Cicuéndez, Víctor; Huesca, Margarita; Rodriguez-Rastrero, Manuel; Litago, Javier; Recuero, Laura; Merino de Miguel, Silvia; Palacios Orueta, Alicia

    2014-05-01

    Agroforestry ecosystems have a significant social, economic and environmental impact on the development of many regions of the world. In the Iberian Peninsula the agroforestry oak forest called "Dehesa" or "Montado" is considered as the extreme case of transformation of a Mediterranean forest by the management of human to provide a wide range of natural resources. The high variability of the Mediterranean climate and the different extensive management practices which human realized on the Dehesa result in a high spatial and temporal dynamics of the ecosystem. This leads to a complex pattern in CO2 exchange between the atmosphere and the ecosystem, i.e. in ecosystem's production. Thus, it is essential to assess Dehesa's carbon cycle to reach maximum economic benefits ensuring environmental sustainability. In this sense, the availability of high frequency Remote Sensing (RS) time series allows the assessment of ecosystem evolution at different temporal and spatial scales. Extensive research has been conducted to estimate production from RS data in different ecosystems. However, there are few studies on the Dehesa type ecosystems, probably due to their complexity in terms of spatial arrangement and temporal dynamics. In this study our overall objective is to assess the Gross Primary Production (GPP) dynamics of a Dehesa ecosystem situated in Central Spain by analyzing time series (2004-2008) of two models: (1) GPP provided by Remote Sensing Images of sensor MODIS (MOD17A2 product) and (2) GPP estimated by the implementation of a Site Specific Light Use Efficiency model based as MODIS model on Monteith equation (1972), but taking into account local ecological and meteorological parameters. Both models have been compared with the Production provided by an Eddy Covariance (EC) flux Tower that is located in our study area. In addition, dynamic relationships between models of GPP with Precipitation and Soil Water Content have been investigated by means of cross

  12. Improvement of satellite-based gross primary production through incorporation of high resolution input data over east asia

    Science.gov (United States)

    Park, Haemi; Im, Jungho; Kim, Miae

    2016-04-01

    Photosynthesis of plants is the main mechanism of carbon absorption from the atmosphere into the terrestrial ecosystem and it contributes to remove greenhouse gases such as carbon dioxide. Annually, 120 Gt of C is supposed to be assimilated through photosynthetic activity of plants as the gross primary production (GPP) over global land area. In terms of climate change, GPP modelling is essential to understand carbon cycle and the balance of carbon budget over various ecosystems. One of the GPP modelling approaches uses light use efficiency that each vegetation type has a specific efficiency for consuming solar radiation related with temperature and humidity. Satellite data can be used to measure various meteorological and biophysical factors over vast areas, which can be used to quantify GPP. NASA Earth Observing System (EOS) program provides Moderate Resolution Imaging Spectroradiometer (MODIS)-derived global GPP product, namely MOD17A2H, on a daily basis. However, significant underestimation of MOD17A2H has been reported in Eastern Asia due to its dense forest distribution and humid condition during monsoon rainy season in summer. The objective of this study was to improve underestimation of MODIS GPP (MOD17A2H) by incorporating meteorological data-temperature, relative humidity, and solar radiation-of higher spatial resolution than data used in MOD17A2H. Landsat-based land cover maps of finer resolution observation and monitoring - global land cover (FROM-GLC) at 30m resolution were used for selection of light use efficiency (LUE). GPP (eq1. GPP = APAR×LUE) is computed by multiplication of APAR (IPAR×fPAR) and LUE (ɛ= ɛmax×T(°C)scalar×VPD(Pa)scalar, where, T is temperature, VPD is vapour pressure deficit) in this study. Meteorological data of Japanese 55-year Reanalysis (JRA-55, 0.56° grid, 3hr) were used for calculation of GPP in East Asia, including Eastern part of China, Korean peninsula, and Japan. Results were validated using flux tower-observed GPP

  13. Ising and Gross-Neveu model in next-to-leading order

    CERN Document Server

    Knorr, Benjamin

    2016-01-01

    We study scalar and chiral fermionic models in next-to-leading order with the help of the functional renormalisation group. Their critical behaviour is of special interest in condensed matter systems, in particular graphene. To derive the beta functions, we make extensive use of computer algebra. The resulting flow equations were solved with pseudo-spectral methods to guarantee high accuracy. New estimates on critical quantities for both the Ising and the Gross-Neveu model are provided. For the Ising model, the estimates agree with earlier renormalisation group studies of the same level of approximation. By contrast, the approximation for the Gross-Neveu model retains many more operators than all earlier studies. For two Dirac fermions, the results agree with both lattice and large-$N_f$ calculations, but for a single flavour, different methods disagree quantitatively, and further studies are necessary.

  14. Estimation of Crop Gross Primary Production (GPP): I. Impact of MODIS Observation Footprint and Impact of Vegetation BRDF Characteristics

    Science.gov (United States)

    Zhang, Qingyuan; Cheng, Yen-Ben; Lyapustin, Alexei I.; Wang, Yujie; Xiao, Xiangming; Suyker, Andrew; Verma, Shashi; Tan, Bin; Middleton, Elizabeth M.

    2014-01-01

    Accurate estimation of gross primary production (GPP) is essential for carbon cycle and climate change studies. Three AmeriFlux crop sites of maize and soybean were selected for this study. Two of the sites were irrigated and the other one was rainfed. The normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), the green band chlorophyll index (CIgreen), and the green band wide dynamic range vegetation index (WDRVIgreen) were computed from the moderate resolution imaging spectroradiometer (MODIS) surface reflectance data. We examined the impacts of the MODIS observation footprint and the vegetation bidirectional reflectance distribution function (BRDF) on crop daily GPP estimation with the four spectral vegetation indices (VIs - NDVI, EVI, WDRVIgreen and CIgreen) where GPP was predicted with two linear models, with and without offset: GPP = a × VI × PAR and GPP = a × VI × PAR + b. Model performance was evaluated with coefficient of determination (R2), root mean square error (RMSE), and coefficient of variation (CV). The MODIS data were filtered into four categories and four experiments were conducted to assess the impacts. The first experiment included all observations. The second experiment only included observations with view zenith angle (VZA) = 35? to constrain growth of the footprint size,which achieved a better grid cell match with the agricultural fields. The third experiment included only forward scatter observations with VZA = 35?. The fourth experiment included only backscatter observations with VZA = 35?. Overall, the EVI yielded the most consistently strong relationships to daily GPP under all examined conditions. The model GPP = a × VI × PAR + b had better performance than the model GPP = a × VI × PAR, and the offset was significant for most cases. Better performance was obtained for the irrigated field than its counterpart rainfed field. Comparison of experiment 2 vs. experiment 1 was used to examine the observation

  15. Divergence of the axial current and fermion density in Gross-Neveu models

    CERN Document Server

    Karbstein, Felix

    2007-01-01

    The divergence of the axial current is used to relate the spatial derivative of the fermion density to the bare fermion mass and scalar/pseudoscalar condensates in 1+1 dimensional Gross-Neveu models. This serves as a novel test of known results, to explain simple features of the continuous chiral model and to resolve a conflict concerning the assignment of baryon number to certain multi-fermion bound states.

  16. Upwelling increases net primary production of corals and reef-wide gross primary production along the Pacific coast of Costa Rica

    Directory of Open Access Journals (Sweden)

    Ines eStuhldreier

    2015-12-01

    Full Text Available Photosynthetic production is a key ecosystem service provided by tropical coral reefs, but knowledge about the contribution of corals and other reef-associated organisms and the controlling environmental factors is scarce. Locations with occurrence of upwelling events can serve as in-situ laboratories to investigate the impact of environmental variability on production rates of reef-associated organisms. This study investigated individual and reef-wide net (Pn and gross primary production (Pg for the dominant autotrophic benthic organisms (hard corals Pocillopora spp., crustose coralline algae (CCA, turf algae, and the macroalga Caulerpa sertularioides associated with a coral reef along the Pacific coast of Costa Rica. Oxygen fluxes by these organisms were measured at a weekly to monthly resolution over one year (May 2013 - April 2014 via in-situ chamber incubations. The influence of simultaneously measured environmental parameters (temperature, light, inorganic nutrient concentrations, dissolved and particulate organic matter concentrations on Pn of the different taxa were tested via linear model fitting. Turf algae showed highest individual Pn and Pg rates per organism surface area (35 and 49 mmol O2 m-² h-1, followed by Pocillopora spp. (16 and 25 mmol O2 m-² h-1, CCA (9 and 15 mmol O2 m-² h-1 and C. sertularioides (8 and 11 mmol O2 m-² h-1. Under upwelling conditions (February – April 2014, Pn rates of all algal taxa remained relatively uniform despite high nutrient availability, Pn of corals increased by 70 %. On an ecosystem level, corals on average contributed 60 % of total Pn and Pg per reef area (73 and 98 mmol O2 m-² h-1, respectively due to high benthic coverage, followed by turf algae (25 %. Under upwelling conditions, reef-wide Pg increased by >40 %, indicating acclimatization of local reef communities to upwelling conditions.

  17. Phase structure of the massive chiral Gross-Neveu model from Hartree-Fock

    CERN Document Server

    Boehmer, Christian; Kraus, Sebastian; Thies, Michael

    2008-01-01

    The phase diagram of the massive chiral Gross-Neveu model (the massive Nambu-Jona-Lasinio model in 1+1 dimensions) is constructed. In the large N limit, the Hartree-Fock approach can be used. We find numerically a chiral crystal phase separated from a massive Fermi gas phase by a 1st order transition. Using perturbation theory, we also construct the critical sheet where the homogeneous phase becomes unstable in a 2nd order transition. A tricritical curve is located. The phase diagram is mapped out as a function of fermion mass, chemical potential and temperature and compared with the one of the discrete chiral Gross-Neveu model. As a by-product, we illustrate the crystal structure of matter at zero temperature for various densities and fermion masses.

  18. Validation and improvement of MODIS Gross Primary Productivity in typical forest ecosystems of East Asia based on eddy covariance measurements

    Science.gov (United States)

    Zhou, Y.; He, M.; Ju, W.

    2011-12-01

    Terrestrial carbon cycle plays an important role in global climate change. As a key component of terrestrial carbon cycle, gross primary productivity (GPP) is a major determinant of carbon exchange between the atmosphere and terrestrial ecosystems. Because of the large spatial heterogeneity and temporal dynamics of ecosystems, it is a challenge to estimate GPP at global or regional scales. 8-day MODIS GPP product provides a real time estimate of global GPP. However, many previous studies indicated that MODIS GPP has large uncertainties, which was partly caused by biases in maximum light use efficiency and meteorological data inputs, including VPD, air temperature, and photosynthetically active radiation (PAR). In this study, MODIS GPP of six typical forest ecosystems in East Asia was validated using GPP derived from the eddy covariance flux measurements. The validation indicated that MODIS GPP was significantly underestimated in the forest ecosystems of East Asia. The underestimation is generally more serious in growing seasons than in non-growing seasons and becomes more obvious from the south to the north. By using observed meteorological data, smoothed fPAR and optimized maximum light use efficiency (ɛmax), predicted GPP with MOD17 algorithm consistently matched well with measured GPP. Smoothed fPAR definitely reduced underestimation of annual GPP, and the optimized ɛmax improved annual GPP more significantly, indicating that the errors in MODIS GPP of forest ecosystems in East Asia can be mainly attributed to the uncertainties of ɛmax. Optimized ɛmax are generally higher than that used for producing MODIS GPP product. The optimized ɛmax changes significantly with forest types. It even exhibits distinct seasonal variations for a specific forest. Key words: Gross Primary Productivity, MODIS, Maximum light use efficiency, East Asia, Forest ecosystem Correspondence author:Weimin Ju Email:juweimin@nju.edu.cn

  19. Zamolodchikov's c-function for the Chiral Gross-Neveu Model

    CERN Document Server

    Cabra, D C

    1993-01-01

    We construct the Zamolodchikov's c-function for the Chiral Gross-Neveu Model up to two loops. We show that the c-function interpolates between the two known critical points of the theory, it is stationary at them and it decreases with the running coupling constant. In particular one can infer the non-existence of additional critical points in the region under investigation.

  20. From non-degenerate conducting polymers to dense matter in the massive Gross-Neveu model

    CERN Document Server

    Thies, M; Thies, Michael; Urlichs, Konrad

    2005-01-01

    Using results from the theory of non-degenerate conducting polymers like cis-polyacetylene, we generalize our previous work on baryonic matter in the massless Gross-Neveu model to finite bare fermion mass. In the large N limit, the exact ground state is constructed analytically, in close analogy to the bipolaron lattice in polymers. These findings are contrasted to the standard scenario with a first order phase transition as a function of density.

  1. Twisted Grosse-Wulkenhaar $\\phi^{\\star 4}$ model: dynamical noncommutativity and Noether currents

    CERN Document Server

    Hounkonnou, Mahouton Norbert

    2009-01-01

    This paper addresses the computation of Noether currrents for the renormalizable Grosse-Wulkenhaar (GW) $\\phi^{\\star 4}$ model subjected to a dynamical noncomutativity realized through a twisted Moyal product. The noncommutative (NC) energy-momentum tensor (EMT), angular momentum tensor (AMT) and the dilatation current (DC) are explicitly derived. The breaking of translation and rotation invariances has been avoided via a constraint equation.

  2. A Continuous Measure of Gross Primary Production for the Conterminous U.S. Derived from MODIS and AmeriFlux Data

    Energy Technology Data Exchange (ETDEWEB)

    Xia, Jingfeng; Zhuang, Qianlai; Law, Beverly E.; Chen, Jiquan; Baldocchi, Dennis D.; Cook, David R.; Oren, Ram; Richardson, Andrew D.; Wharton, Sonia; Ma, Siyan; Martin, Timothy A.; Verma, Shashi B.; Suyker, Andrew E.; Scott, Russell L.; Monson, Russell K.; Litvak, Marcy; Hollinger, David Y.; Sun, Ge; Davis, Kenneth J.; Bolstad, Paul V.; Burns, Sean P.; Curtis, Peter S.; Drake, Bert G.; Falk, Matthias; Fischer, Marc L.; Foster, David R.; Gu, Lianhong; Hadley, Julian L.; Katul, Gabriel G.; Matamala, Roser; McNulty, Steve; Meyers, Tilden P.; Munger, J. William; Noormets, Asko; Oechel, Walter C.; U, Kyaw Tha Paw; Schmid, Hans Peter; Starr, Gregory; Torn, Margaret S.; Wofsy, Steven C.

    2009-01-28

    The quantification of carbon fluxes between the terrestrial biosphere and the atmosphere is of scientific importance and also relevant to climate-policy making. Eddy covariance flux towers provide continuous measurements of ecosystem-level exchange of carbon dioxide spanning diurnal, synoptic, seasonal, and interannual time scales. However, these measurements only represent the fluxes at the scale of the tower footprint. Here we used remotely-sensed data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to upscale gross primary productivity (GPP) data from eddy covariance flux towers to the continental scale. We first combined GPP and MODIS data for 42 AmeriFlux towers encompassing a wide range of ecosystem and climate types to develop a predictive GPP model using a regression tree approach. The predictive model was trained using observed GPP over the period 2000-2004, and was validated using observed GPP over the period 2005-2006 and leave-one-out cross-validation. Our model predicted GPP fairly well at the site level. We then used the model to estimate GPP for each 1 km x 1 km cell across the U.S. for each 8-day interval over the period from February 2000 to December 2006 using MODIS data. Our GPP estimates provide a spatially and temporally continuous measure of gross primary production for the U.S. that is a highly constrained by eddy covariance flux data. Our study demonstrated that our empirical approach is effective for upscaling eddy flux GPP data to the continental scale and producing continuous GPP estimates across multiple biomes. With these estimates, we then examined the patterns, magnitude, and interannual variability of GPP. We estimated a gross carbon uptake between 6.91 and 7.33 Pg C yr{sup -1} for the conterminous U.S. Drought, fires, and hurricanes reduced annual GPP at regional scales and could have a significant impact on the U.S. net ecosystem carbon exchange. The sources of the interannual variability of U.S. GPP were dominated

  3. Cut-and-join description of generalized Brezin-Gross-Witten model

    CERN Document Server

    Alexandrov, Alexander

    2016-01-01

    We investigate the Brezin-Gross-Witten model, a tau-function of the KdV hierarchy, and its natural one-parameter deformation, the generalized Brezin-Gross-Witten tau-function. In particular, we derive the Virasoro constraints, which completely specify the partition function. We solve them in terms of the cut-and-join operator. The Virasoro constraints lead to the loop equations, which we solve in terms of the correlation functions. Explicit expressions for the coefficients of the tau-function and the free energy are derived, and a compact formula for the genus zero contribution is conjectured. A family of polynomial solutions of the KdV hierarchy, given by the Schur functions, is obtained for the half-integer values of the parameter. The quantum spectral curve and its classical limit are discussed.

  4. Phase Diagram of the Gross-Neveu Model: Exact Results and Condensed Matter Precursors

    CERN Document Server

    Schnetz, O; Urlichs, K; Schnetz, Oliver; Thies, Michael; Urlichs, Konrad

    2004-01-01

    Recently the revised phase diagram of the (large N) Gross-Neveu model in 1+1 dimensions with discrete chiral symmetry has been determined numerically. It features three phases, a massless and a massive Fermi gas and a kink-antikink crystal. Here we investigate the phase diagram by analytical means, mapping the Dirac-Hartree-Fock equation onto the non-relativistic Schroedinger equation with the (single gap) Lame potential. It is pointed out that mathematically identical phase diagrams appeared in the condensed matter literature some time ago in the context of the Peierls-Froehlich model and ferromagnetic superconductors.

  5. Scattering and duality in the 2 dimensional OSP(2|2) Gross Neveu and sigma models

    CERN Document Server

    Saleur, H

    2009-01-01

    We write the thermodynamic Bethe ansatz for the massive OSp(2|2) Gross Neveu and sigma models. We find evidence that the GN S matrix proposed by Bassi and Leclair [12] is the correct one. We determine features of the sigma model S matrix, which seem highly unconventional; we conjecture in particular a relation between this sigma model and the complex sine-Gordon model at a particular value of the coupling. We uncover an intriguing duality between the OSp(2|2) GN (resp. sigma) model on the one hand, and the SO(4) sigma (resp. GN model) on the other, somewhat generalizing to the massive case recent results on OSp(4|2). Finally, we write the TBA for the (SUSY version of the) flow into the random bond Ising model proposed by Cabra et al. [39], and conclude that their S matrix cannot be correct.

  6. Precise determination of universal finite volume observables in the Gross-Neveu model

    Energy Technology Data Exchange (ETDEWEB)

    Korzec, T.

    2007-01-26

    The Gross-Neveu model is a quantum field theory in two space time dimensions that shares many features with quantum chromo dynamics. In this thesis the continuum model and its discretized versions are reviewed and a finite volume renormalization scheme is introduced and tested. Calculations in the limit of infinitely many fermion flavors as well as perturbative computations are carried out. In extensive Monte-Carlo simulations of the one flavor and the four flavor lattice models with Wilson fermions a set of universal finite volume observables is calculated to a high precision. In the one flavor model which is equivalent to the massless Thirring model the continuum extrapolated Monte-Carlo results are confronted with an exact solution of the model. (orig.)

  7. Analysis of light use efficiency and gross primary productivity based on remote sensing data over a phragmites-dominated wetland in Zhangye, China

    Science.gov (United States)

    Jiang, Guoqing; Sun, Rui; Zhang, Lei; Liu, Shaomin; Xu, Ziwei; Qiao, Chen

    2014-11-01

    Light use efficiency (LUE) is a critical parameter for estimating carbon exchange in many ecosystem models, especially those models based on remote sensing algorithms. Estimation and monitoring of LUE and gross primary productivity (GPP) over wetland is very important for the global carbon cycle research and modelling, since the wetland plays a vital role in the ecosystem balance. In this paper, carbon flux data observed with an eddy covariance tower over a reedsdominated wetland in Zhangye, northwest of China, was used to calculate LUE. Through the postprocessing of carbon flux data and estimation of ecosystem respiration, daily GPP was calculated firstly. Combining with fraction of absorbed photosynthetically active radiation (FPAR) inversed from HJ-1 satellite, LUE was determined. The maximum value of LUE was 1.03 g C·MJ-1 occurred in summer. Furthermore, a regional vegetation productivity model based on meteorological data and remote sensing data was used to estimate the wetland GPP. The results show that the modeled GPP results were consistent with in situ data.

  8. Seasonal Forecasting of Agriculture Gross Domestic Production in Iran: Application of Periodic Autoregressive Model

    Directory of Open Access Journals (Sweden)

    Mohammad Ghahremanzadeh

    2014-06-01

    Full Text Available Agriculture as one of the major economic sectors of Iran, has an important role in Gross Domestic Production by providing about 14% of GDP. This study attempts to forecast the value of the agriculture GDP using Periodic Autoregressive model (PAR, as the new seasonal time series techniques. To address this aim, the quarterly data were collected from March 1988 to July 1989. The collected data was firstly analyzed using periodic unit root test Franses & Paap (2004. The analysis found non-periodic unit root in the seasonal data. Second, periodic seasonal behavior (Boswijk & Franses, 1996 was examined. The results showed that periodic autoregressive model fits agriculture GDP well. This makes an accurate forecast of agriculture GDP possible. Using the estimated model, the future value of quarter agricultural GDP from March 2011 to July 2012was forecasted. With consideration to the fair fit of this model with agricultural GDP, It is recommended to use periodic autoregressive model for the future studies.

  9. An Ad-Hoc Adaptive Pilot Model for Pitch Axis Gross Acquisition Tasks

    Science.gov (United States)

    Hanson, Curtis E.

    2012-01-01

    An ad-hoc algorithm is presented for real-time adaptation of the well-known crossover pilot model and applied to pitch axis gross acquisition tasks in a generic fighter aircraft. Off-line tuning of the crossover model to human pilot data gathered in a fixed-based high fidelity simulation is first accomplished for a series of changes in aircraft dynamics to provide expected values for model parameters. It is shown that in most cases, for this application, the traditional crossover model can be reduced to a gain and a time delay. The ad-hoc adaptive pilot gain algorithm is shown to have desirable convergence properties for most types of changes in aircraft dynamics.

  10. A modified lattice Bhatnagar-Gross-Krook model for convection heat transfer in porous media

    CERN Document Server

    Wang, Liang; Guo, Zhaoli

    2015-01-01

    The lattice Bhatnagar-Gross-Krook (LBGK) model has become the most popular one in the lattice Boltzmann method for simulating the convection heat transfer in porous media. However, the LBGK model generally suffers from numerical instability at low fluid viscosities and effective thermal diffusivities. In this paper, a modified LBGK model is developed for incompressible thermal flows in porous media at the representative elementary volume scale, in which the shear rate and temperature gradient are incorporated into the equilibrium distribution functions. With two additional parameters, the relaxation times in the collision process can be fixed at a proper value invariable to the viscosity and the effective thermal diffusivity. In addition, by constructing a modified equilibrium distribution function and a source term in the evolution equation of temperature field, the present model can recover the macroscopic equations correctly through the Chapman-Enskog analysis, which is another key point different from pre...

  11. Gross primary production variability associated with meteorology, physiology, leaf area, and water supply in contrasting woodland and grassland semiarid riparian ecosystems

    Science.gov (United States)

    Jenerette, G. D.; Scott, R. L.; Barron-Gafford, G. A.; Huxman, T. E.

    2009-12-01

    Understanding ecosystem-atmosphere carbon exchanges in dryland environments has been more challenging than in mesic environments, likely due to more pronounced nonlinear responses of ecosystem processes to environmental variation. To better understand diurnal to interannual variation in gross primary productivity (GPP) variability, we coupled continuous eddy-covariance derived whole ecosystem gas exchange measurements with an ecophysiologic model based on fundamental principles of diffusion, mass balance, reaction kinetics, and biochemical regulation of photosynthesis. We evaluated the coupled data-model system to describe and understand the dynamics of 3 years of growing season GPP from a riparian grassland and woodland in southern Arizona. The data-model fusion procedure skillfully reproduced the majority of daily variation GPP throughout three growing seasons. While meteorology was similar between sites, the woodland site had consistently higher GPP rates and lower variability at daily and interannual timescales relative to the grassland site. We examined the causes of this variation using a new state factor model analysis that partitioned GPP variation into four factors: meteorology, physiology, leaf area, and water supply. The largest proportion of GPP variation was associated with physiological differences. The woodland showed a greater sensitivity than the grassland to water supply, while the grassland showed a greater sensitivity to leaf area. These differences are consistent with hypotheses of woody species using resistance mechanisms, stomatal regulation, and grassland species using resilience mechanisms, leaf area regulation, in avoiding water stress and have implications for future GPP sensitivity to climate variability following wood-grass transitions.

  12. Evaluation of the impact of storm event inputs on levels of gross primary production and respiration in a drinking water reservoir

    Science.gov (United States)

    Samal, N. R.; Pierson, D. C.; Staehr, P. A.; Pradhanang, S. M.; Smith, D. G.

    2013-12-01

    Episodic inputs of dissolved and particulate material during storm events can have important effects on lake and reservoir ecosystem function and also impact reservoir drinking water quality. We evaluate the impacts of storm events using vertical profiles of temperature, dissolved oxygen, turbidity, conductivity and chlorophyll automatically collected at 6 hour intervals in Ashokan Reservoir, which is a part of the New York City drinking water supply. Storm driven inputs to the reservoir periodically result in large input of suspended sediments that result in reservoir turbidity levels exceeding 25 NTU, and substantial reductions in the euphotic depth. Dissolved materials associated with these same storms would be expected to stimulate bacterial production. This study involves the use of a conceptual model to calculate depth specific estimates of gross primary production (GPP) and ecosystem respiration (R) using three years of data that included 777 events that increased reservoir turbidity levels to over 25 NTU. Using data from before, during and after storm events, we examine how the balance between GPP and R is influenced by storm related increases in turbidity and dissolved organic matter, which would in turn influence light attenuation and bacterial production. Key words: metabolism, primary production, GPP, respiration, euphotic depth, storm event, reservoir

  13. Green light: gross primary production influences seasonal stream N export by controlling fine-scale temporal N dynamics

    Science.gov (United States)

    Bernal, S.; Lupon, A.; Sabater, F.; Martí Roca, E.

    2015-12-01

    The contribution of in-stream processes to nitrogen (N) exports remains unclear because stream water chemistry integrates biogeochemical processes occurring at different spatial and temporal scales within upland, riparian and aquatic ecosystems. Monitoring nutrient concentrations at fine-scale temporal resolution can provide insights on in-stream N processing. Yet, the mechanisms underlying fine-scale temporal nutrient dynamics and their implications for flux budgets at catchment scale are still poorly understood. Here, we investigated patterns and controls of diel variation in stream nitrate (NO3-) concentration and the influence of these on N fluxes along a stream continuum with increasing riparian area and channel width. We tested two alternative hypotheses: that diel variation in stream NO3- concentration is driven (a) by stream metabolism, or (b) by riparian groundwater inputs. Although productivity in this stream was extremely low, patterns of diel variation in stream NO3- concentration emerged in early-spring and they were highly correlated with the daily regime of irradiance and gross primary production (GPP). In addition, diel NO3- patterns agreed with those predicted from GPP and biofilm C:N ratios, but not with diel variations predicted from changes in riparian groundwater inputs. These results point at in-stream photoautotrophic N uptake as the most likely driver of diel fluctuations in stream NO3- concentration. From a network perspective, the occurrence of diel variations in stream NO3- concentration, and thus their influence on stream N fluxes, increased along the stream continuum likely because of increases in light inputs and water temperature. This study evidences that monitoring of nutrient concentrations at fine-scale temporal resolution can provide mechanistic explanations about the relevance of in-stream and terrestrial processes on regulating stream N dynamics and their contribution to N export at catchment scale.

  14. Exchange of carbonyl sulfide (COS), a potential tracer of gross primary productivity, between grassland ecosystem components and the atmosphere

    Science.gov (United States)

    Whelan, M.; Rhew, R. C.

    2013-12-01

    Recently, measurements of carbonyl sulfide (COS) exchange have been used as an independent constraint for estimates of gross primary productivity over terrestrial ecosystems and continents. CO2 is both taken up and released by plants, whereas COS is usually only consumed and at a predictable ratio to CO2. Most of the underlying theoretical assumptions of this method have been verified, however the problem of parsing leaf exchange from other terrestrial sources and sinks of COS is still under investigation. In ecosystems that experience distinct periods of growing and senescence, it is possible to assess COS fluxes in situ when no green plants are present and compare to measurements during the growing season. Taking advantage of this seasonal pattern, we have investigated COS exchange from March 2012 to March 2013 in a Mediterranean grassland outside of Santa Cruz, CA, U.S.A (37.0°N, 122°W). Through lab-based incubation experiments, we found that net COS uptake of grassland soil can be reduced by increased soil moisture. We evaluated this claim in the field with monthly field deployments of static flux chambers over the in-tact soil and plant system. In the dry summer, artificial rain amendments caused COS net uptake to decrease, sometimes leading to overall net production to the atmosphere, in agreement with lab experiments. During the wet growing season, water additions caused over 2x increase in COS uptake from the atmosphere. Contrary to what has been previously claimed, soil exchange of COS is not negligible in grassland ecosystems.

  15. Palindrome-mediated Translocations in Humans: A New Mechanistic Model for Gross Chromosomal Rearrangements

    Directory of Open Access Journals (Sweden)

    Hidehito Inagaki

    2016-07-01

    Full Text Available Palindromic DNA sequences, which can form secondary structures, are widely distributed in the human genome. Although the nature of the secondary structure—single-stranded hairpin or double-stranded cruciform—has been extensively investigated in vitro, the existence of such unusual non-B DNA in vivo remains controversial. Here, we review palindrome-mediated gross chromosomal rearrangements possibly induced by non-B DNA in humans. Recent advances in next-generation sequencing have not yet overcome the difficulty of palindromic sequence analysis. However, a dozen palindromic AT-rich repeat (PATRR sequences have been identified at the breakpoints of recurrent or non-recurrent chromosomal translocations in humans. The breakages always occur at the center of the palindrome. Analyses of polymorphisms within the palindromes indicate that the symmetry and length of the palindrome affect the frequency of the de novo occurrence of these palindrome-mediated translocations, suggesting the involvement of non-B DNA. Indeed, experiments using a plasmid-based model system showed that the formation of non-B DNA is likely the key to palindrome-mediated genomic rearrangements. Some evidence implies a new mechanism that cruciform DNAs may come close together first in nucleus and illegitimately joined. Analysis of PATRR-mediated translocations in humans will provide further understanding of gross chromosomal rearrangements in many organisms.

  16. Symmetry Nonrestoration in a Gross-Neveu Model with Random Chemical Potential

    CERN Document Server

    Hong, S I; Hong, Seok-In; Kogut, John B.

    2001-01-01

    We study the symmetry behavior of the Gross-Neveu model in three and two dimensions with random chemical potential. This is equivalent to a four-fermion model with charge conjugation symmetry as well as Z_2 chiral symmetry. At high temperature the Z_2 chiral symmetry is always restored. In three dimensions the initially broken charge conjugation symmetry is not restored at high temperature, irrespective of the value of the disorder strength. In two dimensions and at zero temperature the charge conjugation symmetry undergoes a quantum phase transition from a symmetric state (for weak disorder) to a broken state (for strong disorder) as the disorder strength is varied. For any given value of disorder strength, the high-temperature behavior of the charge conjugation symmetry is the same as its zero-temperature behavior. Therefore, in two dimensions and for strong disorder strength the charge conjugation symmetry is not restored at high temperature.

  17. The Impact of Alternative Trait-Scaling Hypotheses for the Maximum Photosynthetic Carboxylation Rate (V (sub cmax)) on Global Gross Primary Production

    Science.gov (United States)

    Walker, Anthony P.; Quaife, Tristan; Van Bodegom, Peter M.; De Kauwe, Martin G.; Keenan, Trevor F.; Joiner, Joanna; Lomas, Mark R.; MacBean, Natasha; Xu, Chongang; Yang, Xiaojuan; hide

    2017-01-01

    The maximum photosynthetic carboxylation rate (V (sub cmax)) is an influential plant trait that has multiple scaling hypotheses, which is a source of uncertainty in predictive understanding of global gross primary production (GPP). Four trait-scaling hypotheses (plant functional type, nutrient limitation, environmental filtering, and plant plasticity) with nine specific implementations were used to predict global V(sub cmax) distributions and their impact on global GPP in the Sheffield Dynamic Global Vegetation Model (SDGVM). Global GPP varied from 108.1 to 128.2 petagrams of Carbon (PgC) per year, 65 percent of the range of a recent model intercomparison of global GPP. The variation in GPP propagated through to a 27percent coefficient of variation in net biome productivity (NBP). All hypotheses produced global GPP that was highly correlated (r equals 0.85-0.91) with three proxies of global GPP. Plant functional type-based nutrient limitation, underpinned by a core SDGVM hypothesis that plant nitrogen (N) status is inversely related to increasing costs of N acquisition with increasing soil carbon, adequately reproduced global GPP distributions. Further improvement could be achieved with accurate representation of water sensitivity and agriculture in SDGVM. Mismatch between environmental filtering (the most data-driven hypothesis) and GPP suggested that greater effort is needed understand V(sub cmax) variation in the field, particularly in northern latitudes.

  18. Gross Primary Production of a Wheat Canopy Relates Stronger to Far Red Than to Red Solar-Induced Chlorophyll Fluorescence

    Directory of Open Access Journals (Sweden)

    Yves Goulas

    2017-01-01

    Full Text Available Sun-induced chlorophyll fluorescence (SIF is a radiation flux emitted by chlorophyll molecules in the red (RSIF and far red region (FRSIF, and is considered as a potential indicator of the functional state of photosynthesis in remote sensing applications. Recently, ground studies and space observations have demonstrated a strong empirical linear relationship between FRSIF and carbon uptake through photosynthesis (GPP, gross primary production. In this study, we investigated the potential of RSIF and FRSIF to represent the functional status of photosynthesis at canopy level on a wheat crop. RSIF and FRSIF were continuously measured in the O2-B (SIF687 and O2-A bands (SIF760 at a high frequency rate from a nadir view at a height of 21 m, simultaneously with carbon uptake using eddy covariance (EC techniques. The relative fluorescence yield (Fyield and the photochemical yield were acquired at leaf level using active fluorescence measurements. SIF was normalized with photosynthetically active radiation (PAR to derive apparent spectral fluorescence yields (ASFY687, ASFY760. At the diurnal scale, we found limited variations of ASFY687 and ASFY760 during sunny days. We also did not find any link between Fyield and light use efficiency (LUE derived from EC, which would prevent SIF from indicating LUE changes. The coefficient of determination ( r 2 of the linear regression between SIF and GPP is found to be highly variable, depending on the emission wavelength, the time scale of observation, sky conditions, and the phenological stage. Despite its photosystem II (PSII origin, SIF687 correlates less than SIF760 with GPP in any cases. The strongest SIF–GPP relationship was found for SIF760 during canopy growth. When canopy is in a steady state, SIF687 and SIF760 are almost as effective as PAR in predicting GPP. Our results imply some constraints in the use of simple linear relationships to infer GPP from SIF, as they are expected to be better predictive

  19. Non-Abelian twisted kinks in chiral Gross-Neveu model with isospin

    CERN Document Server

    Thies, Michael

    2015-01-01

    The two-dimensional, massless Gross-Neveu model with Nc colors and SU(2) isospin is studied analytically in the large Nc limit. The chiral SU(2)L X SU(2)R symmetry is broken spontaneously in the vacuum. Twisted kinks connecting two arbitrary points on the vacuum manifold S3 are constructed, and their properties are explored. The phase diagram as a function of temperature, baryon- and isospin chemical potential is discussed, with special emphasis on inhomogeneous phases. The preferred form of the condensate is a product of the real kink crystal and the chiral spiral. Kink-kink scattering is solved, using the general solution of the multicomponent Bogoliubov-de Gennes equation recently presented by Takahashi.

  20. Modeling the Philippines' real gross domestic product: A normal estimation equation for multiple linear regression

    Science.gov (United States)

    Urrutia, Jackie D.; Tampis, Razzcelle L.; Mercado, Joseph; Baygan, Aaron Vito M.; Baccay, Edcon B.

    2016-02-01

    The objective of this research is to formulate a mathematical model for the Philippines' Real Gross Domestic Product (Real GDP). The following factors are considered: Consumers' Spending (x1), Government's Spending (x2), Capital Formation (x3) and Imports (x4) as the Independent Variables that can actually influence in the Real GDP in the Philippines (y). The researchers used a Normal Estimation Equation using Matrices to create the model for Real GDP and used α = 0.01.The researchers analyzed quarterly data from 1990 to 2013. The data were acquired from the National Statistical Coordination Board (NSCB) resulting to a total of 96 observations for each variable. The data have undergone a logarithmic transformation particularly the Dependent Variable (y) to satisfy all the assumptions of the Multiple Linear Regression Analysis. The mathematical model for Real GDP was formulated using Matrices through MATLAB. Based on the results, only three of the Independent Variables are significant to the Dependent Variable namely: Consumers' Spending (x1), Capital Formation (x3) and Imports (x4), hence, can actually predict Real GDP (y). The regression analysis displays that 98.7% (coefficient of determination) of the Independent Variables can actually predict the Dependent Variable. With 97.6% of the result in Paired T-Test, the Predicted Values obtained from the model showed no significant difference from the Actual Values of Real GDP. This research will be essential in appraising the forthcoming changes to aid the Government in implementing policies for the development of the economy.

  1. A New Lattice Bhatnagar-Gross-Krook Model for the Convection-Diffusion Equation with a Source Term

    Institute of Scientific and Technical Information of China (English)

    DENG Bin; SHI Bao-Chang; WANG Guang-Chao

    2005-01-01

    @@ A new lattice Bhatnagar-Gross-Krook (LBGK) model for the convection-diffusion equation with a source term is proposed. Unlike the models proposed previously, the present model does not require any additional assumption on the source term. Numerical results are found to be in excellent agreement with the analytical solutions. It is also found that the numerical accuracy of the model is much better than that of the existing models.

  2. Avoiding the Limits to Growth: Gross National Happiness in Bhutan as a Model for Sustainable Development

    Directory of Open Access Journals (Sweden)

    Jeremy S. Brooks

    2013-08-01

    Full Text Available In their 30-year update to Limits to Growth, Meadows et al. call for a vision of sustainable development that includes systemic change brought on by new perspectives on the purpose of development, new ways of measuring progress, and changes in social norms. Here, I discuss Meadows et al.’s work in the context of the literature on sustainable development and well-being as well as the development trajectory of Bhutan. I suggest that Bhutan’s development approach mirrors Meadows et al.’s recommendations and provides one model for sustainable development. The ideal of maximizing Gross National Happiness (GNH exemplifies Bhutan’s commitment to holistic development and dovetails with arguments about the shortcomings of approaches that emphasize economic growth. I provide examples of how GNH has been put into practice, describe how happiness is being measured, and discuss the emergence of social norms and a shared Bhutanese identity that may contribute to sustainable development. Bhutan’s development success suggests that an alternative to growth-centric development is viable. However, while Bhutan’s standard of living has increased, the country faces challenges, the most important of which may be their ability to manage rising consumption levels. Importantly, other nations have begun measuring well-being and considering similar development approaches.

  3. Gross primary production responses to warming, elevated CO2 , and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland.

    Science.gov (United States)

    Ryan, Edmund M; Ogle, Kiona; Peltier, Drew; Walker, Anthony P; De Kauwe, Martin G; Medlyn, Belinda E; Williams, David G; Parton, William; Asao, Shinichi; Guenet, Bertrand; Harper, Anna B; Lu, Xingjie; Luus, Kristina A; Zaehle, Sönke; Shu, Shijie; Werner, Christian; Xia, Jianyang; Pendall, Elise

    2017-08-01

    Determining whether the terrestrial biosphere will be a source or sink of carbon (C) under a future climate of elevated CO2 (eCO2 ) and warming requires accurate quantification of gross primary production (GPP), the largest flux of C in the global C cycle. We evaluated 6 years (2007-2012) of flux-derived GPP data from the Prairie Heating and CO2 Enrichment (PHACE) experiment, situated in a grassland in Wyoming, USA. The GPP data were used to calibrate a light response model whose basic formulation has been successfully used in a variety of ecosystems. The model was extended by modeling maximum photosynthetic rate (Amax ) and light-use efficiency (Q) as functions of soil water, air temperature, vapor pressure deficit, vegetation greenness, and nitrogen at current and antecedent (past) timescales. The model fits the observed GPP well (R(2)  = 0.79), which was confirmed by other model performance checks that compared different variants of the model (e.g. with and without antecedent effects). Stimulation of cumulative 6-year GPP by warming (29%, P = 0.02) and eCO2 (26%, P = 0.07) was primarily driven by enhanced C uptake during spring (129%, P = 0.001) and fall (124%, P = 0.001), respectively, which was consistent across years. Antecedent air temperature (Tairant ) and vapor pressure deficit (VPDant ) effects on Amax (over the past 3-4 days and 1-3 days, respectively) were the most significant predictors of temporal variability in GPP among most treatments. The importance of VPDant suggests that atmospheric drought is important for predicting GPP under current and future climate; we highlight the need for experimental studies to identify the mechanisms underlying such antecedent effects. Finally, posterior estimates of cumulative GPP under control and eCO2 treatments were tested as a benchmark against 12 terrestrial biosphere models (TBMs). The narrow uncertainties of these data-driven GPP estimates suggest that they could be useful semi-independent data

  4. Constraining gross primary production and ecosystem respiration estimates for North America using atmospheric observations of carbonyl sulfide (OCS) and CO2

    Science.gov (United States)

    He, W.; Ju, W.; Chen, H.; Peters, W.; van der Velde, I.; Baker, I. T.; Andrews, A. E.; Zhang, Y.; Launois, T.; Campbell, J. E.; Suntharalingam, P.; Montzka, S. A.

    2016-12-01

    Carbonyl sulfide (OCS) is a promising novel atmospheric tracer for studying carbon cycle processes. OCS shares a similar pathway as CO2 during photosynthesis but not released through a respiration-like process, thus could be used to partition Gross Primary Production (GPP) from Net Ecosystem-atmosphere CO2 Exchange (NEE). This study uses joint atmospheric observations of OCS and CO2 to constrain GPP and ecosystem respiration (Re). Flask data from tower and aircraft sites over North America are collected. We employ our recently developed CarbonTracker (CT)-Lagrange carbon assimilation system, which is based on the CT framework and the Weather Research and Forecasting - Stochastic Time-Inverted Lagrangian Transport (WRF-STILT) model, and the Simple Biosphere model with simulated OCS (SiB3-OCS) that provides prior GPP, Re and plant uptake fluxes of OCS. Derived plant OCS fluxes from both process model and GPP-scaled model are tested in our inversion. To investigate the ability of OCS to constrain GPP and understand the uncertainty propagated from OCS modeling errors to constrained fluxes in a dual-tracer system including OCS and CO2, two inversion schemes are implemented and compared: (1) a two-step scheme, which firstly optimizes GPP using OCS observations, and then simultaneously optimizes GPP and Re using CO2 observations with OCS-constrained GPP in the first step as prior; (2) a joint scheme, which simultaneously optimizes GPP and Re using OCS and CO2 observations. We will evaluate the result using an estimated GPP from space-borne solar-induced fluorescence observations and a data-driven GPP upscaled from FLUXNET data with a statistical model (Jung et al., 2011). Preliminary result for the year 2010 shows the joint inversion makes simulated mole fractions more consistent with observations for both OCS and CO2. However, the uncertainty of OCS simulation is larger than that of CO2. The two-step and joint schemes perform similarly in improving the consistence with

  5. On $C_J$ and $C_T$ in the Gross-Neveu and $O(N)$ Models

    CERN Document Server

    Diab, Kenan; Giombi, Simone; Klebanov, Igor R; Tarnopolsky, Grigory

    2016-01-01

    We apply large $N$ diagrammatic techniques for theories with double-trace interactions to the leading corrections to $C_J$, the coefficient of a conserved current two-point function, and $C_T$, the coefficient of the stress-energy tensor two-point function. We study in detail two famous conformal field theories in continuous dimensions, the scalar $O(N)$ model and the Gross-Neveu model. For the $O(N)$ model, where the answers for the leading large $N$ corrections to $C_J$ and $C_T$ were derived long ago using analytic bootstrap, we show that the diagrammatic approach reproduces them correctly. We also carry out a new perturbative test of these results using the $O(N)$ symmetric cubic scalar theory in $6-\\epsilon$ dimensions. We go on to apply the diagrammatic method to the Gross-Neveu model, finding explicit formulae for the leading corrections to $C_J$ and $C_T$ as a function of dimension. We check these large $N$ results using regular perturbation theory for the Gross-Neveu model in $2+\\epsilon$ dimensions ...

  6. The relationship between Gross Primary Productivity and Sun-Induced Fluorescence in a nutrient manipulated Mediterranean grassland is controlled primarily by canopy structure

    Science.gov (United States)

    Migliavacca, Mirco

    2017-04-01

    Recent studies have shown how human induced N/P imbalances affect essential ecosystem processes, and might be particularly important in water-limited ecosystems. Hyperspectral information can be used to directly infer nutrient-induces variation in structural and functional changes of vegetation under different nutrient availability. Among those, sun-induced fluorescence in the far-red region provides a new non-invasive measurement approach that has the potential to quantify dynamic changes in light-use efficiency and photosynthetic carbon dioxide uptake (Gross Primary Production, GPP). However, the mechanistic link between GPP and sun-induced fluorescence under different environmental conditions is not completely understood. In this contribution we investigated the structural and functional factors controlling the emission of SIF at 760 nm in a Mediterranean grassland with different levels of nutrient availability (Nitrogen (N), Phosphorous (P), and Nitrogen and Phosphorous (NP)). We showed how nutrient-induced changes in canopy structure (i.e. changes in plant forms abundance that influence leaf inclination distribution function, LIDF) and functional traits (e.g. nitrogen content per dry mass of leaves, N%, Chlorophyll ab concentration - Cab, and maximum carboxylation capacity, Vcmax) affected the observed relationship between SIF and GPP. Simultaneous measurements of canopy scale GPP and SIF were conducted with transparent transient-state canopy chambers and narrow-band spectrometers, respectively. To disentangle the main drivers of the GPP-SIF relationship we performed a factorial modeling exercise with the Soil-Canopy Observation of Photosynthesis and Energy (SCOPE) model. We conclude that the addition of nutrients imposed a change in the abundance of different plant forms and biochemistry of the canopy. This lead to changes in canopy structure (leaf area index, leaf inclinaton distribution function LIDF parameters) and functional traits (N%, P%, Cab and Vcmax

  7. Algorithm developing of gross primary production from its capacity and a canopy conductance index using flux and global observing satellite data

    Science.gov (United States)

    Muramatsu, Kanako; Furumi, Shinobu; Daigo, Motomasa

    2015-10-01

    We plan to estimate gross primary production (GPP) using the SGLI sensor on-board the GCOM-C1 satellite after it is launched in 2017 by the Japan Aerospace Exploration Agency, as we have developed a GPP estimation algorithm that uses SGLI sensor data. The characteristics of this GPP estimation method correspond to photosynthesis. The rate of plant photosynthesis depends on the plant's photosynthesis capacity and the degree to which photosynthesis is suppressed. The photosynthesis capacity depends on the chlorophyll content of leaves, which is a plant physiological parameter, and the degree of suppression of photosynthesis depends on weather conditions. The framework of the estimation method to determine the light-response curve parameters was developed using ux and satellite data in a previous study[1]. We estimated one of the light-response curve parameters based on the linear relationship between GPP capacity at 2000 (μmolm-2s-1) of photosynthetically active radiation and a chlorophyll index (CIgreen [2;3] ). The relationship was determined for seven plant functional types. Decreases in the photosynthetic rate are controlled by stomatal opening and closing. Leaf stomatal conductance is maximal during the morning and decreases in the afternoon. We focused on daily changes in leaf stomatal conductance. We used open shrub flux data and MODIS reflectance data to develop an algorithm for a canopy. We first evaluated the daily changes in GPP capacity estimated from CIgreen and photosynthesis active radiation using light response curves, and GPP observed during a flux experiment. Next, we estimated the canopy conductance using flux data and a big-leaf model using the Penman-Monteith equation[4]. We estimated GPP by multiplying GPP capacity by the normalized canopy conductance at 10:30, the time of satellite observations. The results showed that the estimated daily change in GPP was almost the same as the observed GPP. From this result, we defined a normalized canopy

  8. Sun-induced chlorophyll fluorescence and photochemical reflectance index improve remote-sensing gross primary production estimates under varying nutrient availability in a typical Mediterranean savanna ecosystem

    Science.gov (United States)

    Perez-Priego, O.; Guan, J.; Rossini, M.; Fava, F.; Wutzler, T.; Moreno, G.; Carvalhais, N.; Carrara, A.; Kolle, O.; Julitta, T.; Schrumpf, M.; Reichstein, M.; Migliavacca, M.

    2015-11-01

    This study investigates the performances of different optical indices to estimate gross primary production (GPP) of herbaceous stratum in a Mediterranean savanna with different nitrogen (N) and phosphorous (P) availability. Sun-induced chlorophyll fluorescence yield computed at 760 nm (Fy760), scaled photochemical reflectance index (sPRI), MERIS terrestrial-chlorophyll index (MTCI) and normalized difference vegetation index (NDVI) were computed from near-surface field spectroscopy measurements collected using high spectral resolution spectrometers covering the visible near-infrared regions. GPP was measured using canopy chambers on the same locations sampled by the spectrometers. We tested whether light-use efficiency (LUE) models driven by remote-sensing quantities (RSMs) can better track changes in GPP caused by nutrient supplies compared to those driven exclusively by meteorological data (MM). Particularly, we compared the performances of different RSM formulations - relying on the use of Fy760 or sPRI as a proxy for LUE and NDVI or MTCI as a fraction of absorbed photosynthetically active radiation (fAPAR) - with those of classical MM. Results showed higher GPP in the N-fertilized experimental plots during the growing period. These differences in GPP disappeared in the drying period when senescence effects masked out potential differences due to plant N content. Consequently, although MTCI was closely related to the mean of plant N content across treatments (r2 = 0.86, p < 0.01), it was poorly related to GPP (r2 = 0.45, p < 0.05). On the contrary sPRI and Fy760 correlated well with GPP during the whole measurement period. Results revealed that the relationship between GPP and Fy760 is not unique across treatments, but it is affected by N availability. Results from a cross-validation analysis showed that MM (AICcv = 127, MEcv = 0.879) outperformed RSM (AICcv =140, MEcv = 0.8737) when soil moisture was used to constrain the seasonal dynamic of LUE. However

  9. A Bhatnagar-Gross-Krook kinetic model with velocity-dependent collision frequency and corrected relaxation of moments

    Science.gov (United States)

    Alekseenko, Alexander; Euler, Craig

    2016-05-01

    We propose a Bhatnagar-Gross-Krook (BGK) kinetic model in which the collision frequency is a linear combination of polynomials in the velocity variable. The coefficients of the linear combination are determined so as to enforce proper relaxation rates for a selected group of moments. The relaxation rates are obtained by a direct numerical evaluation of the full Boltzmann collision operator. The model is conservative by construction. Simulations of the problem of spatially homogeneous relaxation of hard spheres gas show improvement in accuracy of controlled moments as compared to solutions obtained by the classical BGK, ellipsoidal-statistical BGK and the Shakhov models in cases of strong deviations from continuum.

  10. Achieving Value in Primary Care: The Primary Care Value Model.

    Science.gov (United States)

    Rollow, William; Cucchiara, Peter

    2016-03-01

    The patient-centered medical home (PCMH) model provides a compelling vision for primary care transformation, but studies of its impact have used insufficiently patient-centered metrics with inconsistent results. We propose a framework for defining patient-centered value and a new model for value-based primary care transformation: the primary care value model (PCVM). We advocate for use of patient-centered value when measuring the impact of primary care transformation, recognition, and performance-based payment; for financial support and research and development to better define primary care value-creating activities and their implementation; and for use of the model to support primary care organizations in transformation.

  11. Gross motor control

    Science.gov (United States)

    Gross motor control is the ability to make large, general movements (such as waving an arm or lifting a leg). ... Gross motor control is a milestone in the development of an infant. Infants develop gross motor control before they develop ...

  12. On {C}_{J} and {C}_{T} in the Gross-Neveu and O(N) models

    Science.gov (United States)

    Diab, Kenan; Fei, Lin; Giombi, Simone; Klebanov, Igor R.; Tarnopolsky, Grigory

    2016-10-01

    We apply large N diagrammatic techniques for theories with double-trace interactions to the leading corrections to C J , the coefficient of a conserved current two-point function, and C T , the coefficient of the stress-energy tensor two-point function. We study in detail two famous conformal field theories in continuous dimensions, the scalar O(N) model and the Gross-Neveu (GN) model. For the O(N) model, where the answers for the leading large N corrections to C J and C T were derived long ago using analytic bootstrap, we show that the diagrammatic approach reproduces them correctly. We also carry out a new perturbative test of these results using the O(N) symmetric cubic scalar theory in 6 - ɛ dimensions. We go on to apply the diagrammatic method to the GN model, finding explicit formulae for the leading corrections to C J and C T as a function of dimension. We check these large N results using regular perturbation theory for the GN model in 2+ɛ dimensions and the Gross-Neveu-Yukawa model in 4-ɛ dimensions. For small values of N, we use Padé approximants based on the 4-ɛ and 2+ɛ expansions to estimate the values of C J and C T in d = 3. For the O(N) model our estimates are close to those found using the conformal bootstrap. For the GN model, our estimates suggest that, even when N is small, C T differs by no more than 2% from that in the theory of free fermions. We find that the inequality {C}T{{UV}}\\gt {C}T{{IR}} applies both to the GN and the scalar O(N) models in d = 3.

  13. Quark-Antiquark and Diquark Condensates in Vacuum in a 2D Two-Flavor Gross-Neveu Model

    Institute of Scientific and Technical Information of China (English)

    ZHOU Bang-Rong

    2007-01-01

    The analysis based on the renormalized effective potential indicates that, similar to in the 4D two-flavor Nambu-Jona-Lasinio (NJL) model, in a 2D two-flavor Gross-Neveu model, the interplay between the quark-antiquark and the diquark condensates in vacuum also depends on Gs/Hs, the ratio of the coupling constants in scalar quark antiquark and scalar diquark channel. Only the pure quark-antiquark condensates exist if Gs/Hs > 2/3, which is just the ratio of the color numbers of the quarks participating in the diquark and quark-antiquark condensates. The two condensates will coexist if 0 < Gs/Hs < 2/3. However, different from the 4D NJL model, the pure diquark condensates arise only at Gs/Hs = 0 and are not in a possibly finite region of Gs/Hs below 2/3.

  14. A vortex filament tracking method for the Gross-Pitaevskii model of a superfluid

    Science.gov (United States)

    Villois, Alberto; Krstulovic, Giorgio; Proment, Davide; Salman, Hayder

    2016-10-01

    We present an accurate and robust numerical method to track quantised vortex lines in a superfluid described by the Gross-Pitaevskii equation. By utilising the pseudo-vorticity field of the associated complex scalar order parameter of the superfluid, we are able to track the topological defects of the superfluid and reconstruct the vortex lines which correspond to zeros of the field. Throughout, we assume our field is periodic to allow us to make extensive use of the Fourier representation of the field and its derivatives in order to retain spectral accuracy. We present several case studies to test the precision of the method which include the evaluation of the curvature and torsion of a torus vortex knot, and the measurement of the Kelvin wave spectrum of a vortex line and a vortex ring. The method we present makes no a priori assumptions on the geometry of the vortices and is therefore applicable to a wide range of systems such as a superfluid in a turbulent state that is characterised by many vortex rings coexisting with sound waves. This allows us to track the positions of the vortex filaments in a dense turbulent vortex tangle and extract statistical information about the distribution of the size of the vortex rings and the inter-vortex separations. In principle, the method can be extended to track similar topological defects arising in other physical systems.

  15. Catchment disturbance and stream metabolism: Patterns in ecosystem respiration and gross primary production along a gradient of upland soil and vegetation disturbance

    Science.gov (United States)

    Houser, J.N.; Mulholland, P.J.; Maloney, K.O.

    2005-01-01

    Catchment characteristics determine the inputs of sediments and nutrients to streams. As a result, natural or anthropogenic disturbance of upland soil and vegetation can affect instream processes. The Fort Benning Military Installation (near Columbus, Georgia) exhibits a wide range of upland disturbance levels because of spatial variability in the intensity of military training. This gradient of disturbance was used to investigate the effect of upland soil and vegetation disturbance on rates of stream metabolism (ecosystem respiration rate [ER] and gross primary production rate [GPP]). Stream metabolism was measured using an open-system, single-station approach. All streams were net heterotrophic during all seasons. ER was highest in winter and spring and lowest in summer and autumn. ER was negatively correlated with catchment disturbance level in winter, spring, and summer, but not in autumn. ER was positively correlated with abundance of coarse woody debris, but not significantly related to % benthic organic matter. GPP was low in all streams and generally not significantly correlated with disturbance level. Our results suggest that the generally intact riparian zones of these streams were not sufficient to protect them from the effect of upland disturbance, and they emphasize the role of the entire catchment in determining stream structure and function. ?? 2005 by The North American Benthological Society.

  16. Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence

    Science.gov (United States)

    Hamed Alemohammad, Seyed; Fang, Bin; Konings, Alexandra G.; Aires, Filipe; Green, Julia K.; Kolassa, Jana; Miralles, Diego; Prigent, Catherine; Gentine, Pierre

    2017-09-01

    A new global estimate of surface turbulent fluxes, latent heat flux (LE) and sensible heat flux (H), and gross primary production (GPP) is developed using a machine learning approach informed by novel remotely sensed solar-induced fluorescence (SIF) and other radiative and meteorological variables. This is the first study to jointly retrieve LE, H, and GPP using SIF observations. The approach uses an artificial neural network (ANN) with a target dataset generated from three independent data sources, weighted based on a triple collocation (TC) algorithm. The new retrieval, named Water, Energy, and Carbon with Artificial Neural Networks (WECANN), provides estimates of LE, H, and GPP from 2007 to 2015 at 1° × 1° spatial resolution and at monthly time resolution. The quality of ANN training is assessed using the target data, and the WECANN retrievals are evaluated using eddy covariance tower estimates from the FLUXNET network across various climates and conditions. When compared to eddy covariance estimates, WECANN typically outperforms other products, particularly for sensible and latent heat fluxes. Analyzing WECANN retrievals across three extreme drought and heat wave events demonstrates the capability of the retrievals to capture the extent of these events. Uncertainty estimates of the retrievals are analyzed and the interannual variability in average global and regional fluxes shows the impact of distinct climatic events - such as the 2015 El Niño - on surface turbulent fluxes and GPP.

  17. Monitoring and Assessing the 2012 Drought in the Great Plains: Analyzing Satellite-Retrieved Solar-Induced Chlorophyll Fluorescence, Drought Indices, and Gross Primary Production

    Directory of Open Access Journals (Sweden)

    Siheng Wang

    2016-01-01

    Full Text Available We examined the relationship between satellite measurements of solar-induced chlorophyll fluorescence (SIF and several meteorological drought indices, including the multi-time-scale standard precipitation index (SPI and the Palmer drought severity index (PDSI, to evaluate the potential of using SIF to monitor and assess drought. We found significant positive relationships between SIF and drought indices during the growing season (from June to September. SIF was found to be more sensitive to short-term SPIs (one or two months and less sensitive to long-term SPI (three months than were the normalized difference vegetation index (NDVI or the normalized difference water index (NDWI. Significant correlations were found between SIF and PDSI during the growing season for the Great Plains. We found good consistency between SIF and flux-estimated gross primary production (GPP for the years studied, and synchronous declines of SIF and GPP in an extreme drought year (2012. We used SIF to monitor and assess the drought that occurred in the Great Plains during the summer of 2012, and found that although a meteorological drought was experienced throughout the Great Plains from June to September, the western area experienced more agricultural drought than the eastern area. Meanwhile, SIF declined more significantly than NDVI during the peak growing season. Yet for senescence, during which time the reduction of NDVI still went on, the reduction of SIF was eased. Our work provides an alternative to traditional reflectance-based vegetation or drought indices for monitoring and assessing agricultural drought.

  18. Quark-Antiquark and Diquark Condensates in Vacuum in a 3D Two-Flavor Gross-Neveu Model

    CERN Document Server

    Bang-Rong, Zhou

    2007-01-01

    The effective potential analysis indicates that, in a 3D two-flavor Gross-Neveu model in vacuum, depending on less or bigger than the critical value 2/3 of $G_S/H_P$, where $G_S$ and $H_P$ are respectively the coupling constants of scalar quark-antiquark channel and pseudoscalar diquark channel, the system will have the ground state with pure diquark condensates or with pure quark-antiquark condensates, but no the one with coexistence of the two forms of condensates. The similarities and differences in the interplay between the quark-antiquark and the diquark condensates in vacuum in the 2D, 3D and 4D two-flavor four-fermion interaction models are summarized.

  19. The ORCA West Coast Regional Project - Use of Top-Down Modeling in a Regional Carbon Budget Approach to Estimate Gross Carbon Fluxes for Oregon-California

    Science.gov (United States)

    Goeckede, M.; Turner, D. P.; Law, B. E.

    2007-12-01

    The ORCA project aims at determining the regional carbon balance of Oregon and northern California, with a special focus on the effect of disturbance history and climate variability on carbon sources and sinks. ORCA provides a regional test of the overall NACP strategy by demonstrating bottom-up and model-data fusion approaches to derive carbon balances at subregional to regional scales. The top-down modeling component of ORCA focuses on coupling simple process models for gross primary productivity (GPP), autotrophic (RA) and heterotrophic respiration (RH) with atmospheric transport modeling to interpret measured carbon dioxide concentration data. This approach builds on high-resolution remote sensing products (e.g. Landsat, MODIS) as well as re-analysis meteorological datasets (EDAS-40, DayMet) to drive the models. We couple BRAMS (Brazilian Regional Atmospheric Modeling System) mesoscale modeling to the STILT (Stochastic Time-Inverted Lagrangian Transport) footprint model to identify sources and sinks for carbon that influence observed carbon dioxide concentrations at measurement sites in the ORCA domain. This approach of linking surface fluxes to time series of atmospheric data allows one to extract information from the latter for process model optimization, with the objective of obtaining regionally representative parameter settings for different combinations of ecoregion and land cover type. We present a proof-of-concept of the ORCA top-down modeling approach by comparing modeled to measured carbon dioxide concentration data. This comparison also addresses the uncertainties introduced by different components of this approach. To demonstrate the effect of the improved process model parameterization, the results are compared with regional fluxes derived by the ORCA bottom-up modeling component.

  20. MRI versus {sup 68}Ga-PSMA PET/CT for gross tumour volume delineation in radiation treatment planning of primary prostate cancer

    Energy Technology Data Exchange (ETDEWEB)

    Zamboglou, Constantinos; Kirste, Simon; Fechter, Tobias; Grosu, Anca-Ligia [University Medical Center Freiburg, Department of Radiation Oncology, Freiburg (Germany); German Cancer Consortium (DKTK), Heidelberg (Germany); Wieser, Gesche [University Medical Center Freiburg, Department of Nuclear Medicine, Freiburg (Germany); Hennies, Steffen [University Medical Center Goettingen, Department of Radiation Oncology, Goettingen (Germany); Rempel, Irene; Soschynski, Martin; Langer, Mathias [University Medical Center Freiburg, Department of Radiology, Freiburg (Germany); Rischke, Hans Christian [University Medical Center Freiburg, Department of Radiation Oncology, Freiburg (Germany); Jilg, Cordula A. [University Medical Center Freiburg, Department of Urology, Freiburg (Germany); Meyer, Philipp T. [German Cancer Consortium (DKTK), Heidelberg (Germany); University Medical Center Freiburg, Department of Nuclear Medicine, Freiburg (Germany); Bock, Michael [German Cancer Consortium (DKTK), Heidelberg (Germany); University Medical Center Freiburg, Department of Radiology, Freiburg (Germany)

    2016-05-15

    Multiparametric magnetic resonance imaging (mpMRI) is widely used in radiation treatment planning of primary prostate cancer (PCA). Focal dose escalation to the dominant intraprostatic lesions (DIPL) may lead to improved PCA control. Prostate-specific membrane antigen (PSMA) is overexpressed in most PCAs. {sup 68}Ga-labelled PSMA inhibitors have demonstrated promising results in detection of PCA with PET/CT. The aim of this study was to compare {sup 68}Ga-PSMA PET/CT with MRI for gross tumour volume (GTV) definition in primary PCA. This retrospective study included 22 patients with primary PCA analysed after {sup 68}Ga-PSMA PET/CT and mpMRI. GTVs were delineated on MR images by two radiologists (GTV-MRIrad) and two radiation oncologists separately. Both volumes were merged leading to GTV-MRIint. GTVs based on PET/CT were delineated by two nuclear medicine physicians in consensus (GTV-PET). Laterality (left, right, and left and right prostate lobes) on mpMRI, PET/CT and pathological analysis after biopsy were assessed. Mean GTV-MRIrad, GTV-MRIint and GTV-PET were 5.92, 3.83 and 11.41 cm{sup 3}, respectively. GTV-PET was significant larger then GTV-MRIint (p = 0.003). The MRI GTVs GTV-MRIrad and GTV-MRIint showed, respectively, 40 % and 57 % overlap with GTV-PET. GTV-MRIrad and GTV-MRIint included the SUVmax of GTV-PET in 12 and 11 patients (54.6 % and 50 %), respectively. In nine patients (47 %), laterality on mpMRI, PET/CT and histopathology after biopsy was similar. Ga-PSMA PET/CT and mpMRI provided concordant results for delineation of the DIPL in 47 % of patients (40 % - 54 % of lesions). GTV-PET was significantly larger than GTV-MRIint. {sup 68}Ga-PSMA PET/CT may have a role in radiation treatment planning for focal radiation to the DIPL. Exact correlation of PET and MRI images with histopathology is needed. (orig.)

  1. Gross primary production variability associated with meteorology, physiology, leaf area, and water supply in contrasting woodland and grassland semiarid riparian ecosystems

    Science.gov (United States)

    Understanding ecosystem-atmosphere carbon exchanges in dryland environments has been more challenging than in mesic environments, likely due to more pronounced nonlinear responses of ecosystem processes to environmental variation. To better understand diurnal to interannual variation in gross primar...

  2. NM Gross Receipts Baseline

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This layer represents boundaries for New Mexico's gross receipts tax districts as identified on the "Gross Receipts Tax Rate Schedule" published by the Taxation and...

  3. Quark-Antiquark and Diquark Condensates in Vacuum in a 2D Two-Flavor Gross-Neveu Model

    CERN Document Server

    Bang-Rong, Z

    2007-01-01

    The analysis based on the renormalized effective potential indicates that, similar to in the 4D two-flavor Nambu-Jona-Lasinio (NJL) model, in a 2D two-flavor Gross-Neveu model, the interplay between the quark-antiquark and the diquark condensates in vacuum also depends on $G_S/H_S$, the ratio of the coupling constants in scalar quark-antiquark and scalar diquark channel. Only the pure quark-antiquark condensates exist if $G_S/H_S>2/3$ which is just the ratio of the color numbers of the quarks participating in the diquark and quark-antiquark condensates. The two condensates will coexist if $0model, the pure diquark condensates arise only at $G_S/H_S=0$ and are not in a possibly finite region of $G_S/H_S$ below 2/3.

  4. The Gross-Neveu model at finite temperature at next to leading order in the 1/N expansion

    CERN Document Server

    Blaizot, J P; Wschebor, N

    2003-01-01

    We present new results on the Gross-Neveu model at finite temperature and at next-to-leading order in the 1/N expansion. In particular, a new expression is obtained for the effective potential which is explicitly invariant under renormalization group transformations. The model is used as a playground to investigate various features of field theory at finite temperature. For example we verify that, as expected from general arguments, the cancellation of ultraviolet divergences takes place at finite temperature without the need for introducing counterterms beyond those of zero-temperature. As well known, the discrete chiral symmetry of the 1+1 dimensional model is spontaneously broken at zero temperature and restored, in leading order, at some temperature T_c; we find that the 1/N approximation breaks down for temperatures below T_c: As the temperature increases, the fluctuations become eventually too large to be treated as corrections, and a Landau pole invalidates the calculation of the effective potential in...

  5. Gross National Happiness

    DEFF Research Database (Denmark)

    Giri, Krishna Prasad; Kjær-Rasmussen, Lone Krogh

    This paper investigates practices related to the ideology of infusing Gross National Happiness (GNH) into school curriculum, the effectiveness of the meditation and mind training and the implication of GNH for school environment. It also explores how GNH ambience has been managed and practiced...... of Gross National Happiness and Educating for Gross National happiness....

  6. Modeling the reduction of gross lithium erosion observed under high-flux deuterium bombardment

    Energy Technology Data Exchange (ETDEWEB)

    Abrams, T., E-mail: tabrams@pppl.gov [Princeton Plasma Physics Laboratory, Princeton, NJ 08543 (United States); Jaworski, M.A.; Kaita, R.; Nichols, J.H.; Stotler, D.P. [Princeton Plasma Physics Laboratory, Princeton, NJ 08543 (United States); De Temmerman, G.; Berg, M.A. van den; Meiden, H.J. van der; Morgan, T.W. [FOM Institute DIFFER – Dutch Institute for Fundamental Energy Research, Trilateral Euregio Cluster, Associate EURATOM-FOM, BL-3430 BE Nieuwegein (Netherlands)

    2015-08-15

    Both thin (<1 μm) and thick (∼500 μm) lithium films under high-flux deuterium and neon plasma bombardment were studied in the linear plasma device Magnum-PSI at ion fluxes >10{sup 24} m{sup −2} s{sup −1} and surface temperatures <700 °C. During Ne plasma exposures, Li erosion rates inferred from measurements of Li–I radiation exceed Langmuir Law evaporation, but no previous results exist to benchmark the binary collision approximation (BCA) and thermal sputtering measurements. Measured Li erosion rates during D plasma bombardment were compared to the adatom-evaporation model of thermal sputtering with an additional reduction term to account for the relative D/Li composition of the Li film. This model captures the qualitative evolution of the Li erosion yield but still overestimates the measured erosion by a factor of 5–10. This suggests that additional refinements to the mixed-material model are needed.

  7. Gross world product and consumption in a global warming model with endogenous technological change

    Energy Technology Data Exchange (ETDEWEB)

    Gerlagh, Reyer; Van der Zwaan, Bob [IVM/VU, Institute for Environmental Studies, Vrije Universiteit Amsterdam, De Boelelaan 1087, 1081 HV, Amsterdam (Netherlands)

    2003-02-01

    This paper analyzes the macro-economic costs and effects on consumption and energy demand of limiting the global average atmospheric temperature increase to 2C. We use a macro-economic model in which there are two competing energy technologies (carbon and non-carbon, respectively), technological change is represented endogenously, and energy is aggregated through a CES function implying positive demand for the relatively expensive non-carbon technology. Technological change is represented through a learning curve describing decreasing energy production costs as a function of cumulative experience. We find that energy savings constitutes an important mechanism for decreasing abatement costs in the short- and medium-term, while the acquisition of additional learning experience substantially decreases abatement costs in the longer-term.

  8. Comprehensive Time-Series Regression Models Using GRETL - U.S. GDP and Government Consumption Expenditures & Gross Investment from 1980 to 2013

    OpenAIRE

    Juehui Shi

    2014-01-01

    Using Gretl, I apply ARMA, Vector ARMA, VAR, state-space model with a Kalman filter, transfer-function and intervention models, unit root tests, cointegration test, volatility models (ARCH, GARCH, ARCH-M, GARCH-M, Taylor-Schwert GARCH, GJR, TARCH, NARCH, APARCH, EGARCH) to analyze quarterly time series of GDP and Government Consumption Expenditures & Gross Investment (GCEGI) from 1980 to 2013. The article is organized as: (I) Definition; (II) Regression Models; (III) Discussion. Additionally,...

  9. A Multivariate Model of Determinants of Change in Gross-Motor Abilities and Engagement in Self-Care and Play of Young Children with Cerebral Palsy

    Science.gov (United States)

    Chiarello, Lisa A.; Palisano, Robert J.; Bartlett, Doreen J.; McCoy, Sarah Westcott

    2011-01-01

    A multivariate model of determinants of change in gross-motor ability and engagement in self-care and play provides physical and occupational therapists a framework for decisions on interventions and supports for young children with cerebral palsy and their families. Aspects of the child, family ecology, and rehabilitation and community services…

  10. A Multivariate Model of Determinants of Change in Gross-Motor Abilities and Engagement in Self-Care and Play of Young Children with Cerebral Palsy

    Science.gov (United States)

    Chiarello, Lisa A.; Palisano, Robert J.; Bartlett, Doreen J.; McCoy, Sarah Westcott

    2011-01-01

    A multivariate model of determinants of change in gross-motor ability and engagement in self-care and play provides physical and occupational therapists a framework for decisions on interventions and supports for young children with cerebral palsy and their families. Aspects of the child, family ecology, and rehabilitation and community services…

  11. Fine and Gross Motor Task Performance When Using Computer-Based Video Models by Students with Autism and Moderate Intellectual Disability

    Science.gov (United States)

    Mechling, Linda C.; Swindle, Catherine O.

    2013-01-01

    This investigation examined the effects of video modeling on the fine and gross motor task performance by three students with a diagnosis of moderate intellectual disability (Group 1) and by three students with a diagnosis of autism spectrum disorder (Group 2). Using a multiple probe design across three sets of tasks, the study examined the…

  12. Exploring the Gross Schoenebeck (Germany) geothermal site using a statistical joint interpretation of magnetotelluric and seismic tomography models

    Energy Technology Data Exchange (ETDEWEB)

    Munoz, Gerard; Bauer, Klaus; Moeck, Inga; Schulze, Albrecht; Ritter, Oliver [Deutsches GeoForschungsZentrum (GFZ), Telegrafenberg, 14473 Potsdam (Germany)

    2010-03-15

    Exploration for geothermal resources is often challenging because there are no geophysical techniques that provide direct images of the parameters of interest, such as porosity, permeability and fluid content. Magnetotelluric (MT) and seismic tomography methods yield information about subsurface distribution of resistivity and seismic velocity on similar scales and resolution. The lack of a fundamental law linking the two parameters, however, has limited joint interpretation to a qualitative analysis. By using a statistical approach in which the resistivity and velocity models are investigated in the joint parameter space, we are able to identify regions of high correlation and map these classes (or structures) back onto the spatial domain. This technique, applied to a seismic tomography-MT profile in the area of the Gross Schoenebeck geothermal site, allows us to identify a number of classes in accordance with the local geology. In particular, a high-velocity, low-resistivity class is interpreted as related to areas with thinner layers of evaporites; regions where these sedimentary layers are highly fractured may be of higher permeability. (author)

  13. The Gross-Neveu model and the supersymmetric and non-supersymmetric Nambu - Jona-Lasinio model in a magnetic field

    CERN Document Server

    Elias, V; Miransky, V A; Shovkovy, I A

    1996-01-01

    The infrared dynamics in the (3+1)--dimensional supersymmetric and non--supersymmetric Nambu--Jona--Lasinio model in a constant magnetic field is studied. It is shown that while at strong coupling the dynamics in these two models is essentially different, the models become equivalent at weak coupling. In particular, at weak coupling, as the strength of the magnetic field goes to infinity, both the supersymmetric and non--supersymmetric Nambu--Jona--Lasinio models with N_c colors become equivalent to the (1+1)--dimensional Gross-Neveu model with the number of colors \\tilde{N}_c=N_c|eB|S/2\\pi, where S is the area in the plane perpendicular to the magnetic field {\\bf B}. The relevance of these results for cosmological models based on superymmetric dynamics is pointed out.

  14. Pulmonary Thermal Ablation: Comparison of Radiofrequency and Microwave Devices by Using Gross Pathologic and CT Findings in a Swine Model

    Science.gov (United States)

    Brace, Christopher L.; Hinshaw, J. Louis; Laeseke, Paul F.; Sampson, Lisa A.; Lee, Fred T.

    2009-01-01

    Purpose: To compare the performance of equivalently sized radiofrequency and microwave ablation applicators in a normal porcine lung model. Materials and Methods: All experiments were approved by an institutional animal care and use committee. A total of 18 ablations were performed in vivo in normal porcine lungs. By using computed tomographic (CT) fluoroscopic guidance, a 17-gauge cooled triaxial microwave antenna (n = 9) and a 17-gauge cooled radiofrequency (RF) electrode (n = 9) were placed percutaneously. Ablations were performed for 10 minutes by using either 125 W of microwave power or 200 W of RF power delivered with an impedance-based pulsing algorithm. CT images were acquired every minute during ablation to monitor growth. Animals were sacrificed after the procedure. Ablation zones were then excised and sectioned transverse to the applicator in 5-mm increments. Minimum and maximum diameter, cross-sectional area, length, and circularity were measured from gross specimens and CT images. Comparisons of each measurement were performed by using a mixed-effects model; P ablation and mean cross-sectional area (8.25 cm2 ± 0.92 vs 5.45 cm2 ± 1.14, P ablation, compared with RF ablation. With microwave ablation, the zones of ablation were also significantly more circular in cross section (mean circularity, 0.90 ± 0.06 vs 0.82 ± 0.09; P ablation but stabilized without intervention. Conclusion: Microwave ablation with a 17-gauge high-power triaxial antenna creates larger and more circular zones of ablation than does a similarly sized RF applicator in a preclinical animal model. Microwave ablation may be a more effective treatment of lung tumors. © RSNA, 2009 PMID:19336667

  15. Statistical Diagnosis and Gross Error Test for Semiparametric Linear Model%半参数模型统计诊断与粗差检验

    Institute of Scientific and Technical Information of China (English)

    丁士俊; 张松林; 姜卫平; 王守春

    2009-01-01

    This paper systematically studies the statistical diagnosis and hypothesis testing for the semiparametric linear re-gression model according to the theories and methods of the statistical diagnosis and hypothesis testing for parametric re-gression model.Several diagnostic measures and the methods for gross error testing are derived.Especially,the global and local influence analysis of the gross error on the parameter X and the nonparameter s are discussed in detail; at the same time,the paper proves that the data point deletion model is equivalent to the mean shift model for the semiparametric re-gression model.Finally,with one simulative computing example,some helpful conclusions are drawn.

  16. The use of the stable isotope, oxygen-18, as a tracer to measure gross primary production in coastal and oligotrophic waters and in monoclonal cultures of marine phytoplankton

    Energy Technology Data Exchange (ETDEWEB)

    Grande, K.D.

    1988-01-01

    A new technique was developed to measure the in vitro rates of gross oxygen production in planktonic communities, in which water is enriched with the stable isotope {sup 18}O, and photosynthetic evolution of {sup 18}O{sup 16}O is measured. In order to calculate gross oxygen production, they correct for the {sup 18}O fractionation due to respiration. The standard technique for measuring production in the oceans, {sup 14}C-bicarbonate uptake, has recently been questioned due to discrepancies with other estimates of water column production and suspected intrinsic problems with the {sup 14}C technique. They compared rates of {sup 18}O gross production and {sup 14}C production in oligotrophic and coastal sites. Samples were generally incubated under natural lighting with neutral density screening. Some oligotrophic bottles were incubated in situ at the depth of collection. Rates of {sup 14}C production were 60-100% of {sup 18}O gross production in both coastal and oceanic communities. Assuming a PQ of 1.0 to 1.5, these comparisons suggest that {sup 14}C production rates are not seriously underestimating actual in vitro rates of production. They also measured rates of light respiration in cultures and natural populations by the {sup 18}O technique. The rates of light respiration in algal cultures were generally greater than dark rates by a factor of two to ten. The increased respiration in the light could be due to increased rates of mitochondrial respiration, photorespiration or Mehler respiration. They measured the enhanced {sup 14}C production under reduced (O{sub 2}) conditions (the Warburg effect), as an estimate of the rate of photorespiration. In three clones, rates of photorespiration were a significant fraction of light respiration. In five other clones examined, photorespiration was not implicated as a source of light respiration.

  17. Big like a gym. New business models for public utilities; Gross wie eine Turnhalle. Neue Geschaeftsmodelle fuer Stadtwerke

    Energy Technology Data Exchange (ETDEWEB)

    Schwarzburger, Heiko

    2013-10-01

    Electricity storage is no longer a vision, also in the case of greater power ratings too. The breakthrough is done: ready-to-connect systems are available as complete packages or containers. [German] Stromspeicher sind keine Vision mehr. Auch nicht fuer grosse Leistungen. Der Durchbruch ist geschafft: Anschlussfertige Systeme sind als Container oder Gesamtpakete verfuegbar.

  18. Chiral Symmetry Restoration and Realisation of the Goldstone Mechanism in the U(1) Gross-Neveu Model at Non-Zero Chemical Potential

    CERN Document Server

    Barbour, Ian M; Kogut, J B; Lombardo, M P; Morrison, S; Barbour, Ian; Hands, Simon; Kogut, John B.; Lombardo, Maria-Paola; Morrison, Susan

    1999-01-01

    We simulate the Gross-Neveu model in 2+1 dimensions at nonzero baryon density (chemical potential mu =/= 0). It is possible to formulate this model with a real action and therefore to perform standard hybrid Monte Carlo simulations with mu =/= 0 in the functional measure. We compare the physical observables from these simulations with simulations using the Glasgow method where the value of mu in the functional measure is fixed at a value mu_upd. We find that the observables are sensitive to the choice of mu_upd. We consider the implications of our findings for Glasgow method QCD simulations at mu =/= 0. We demonstrate that the realisation of the Goldstone mechanism in the Gross-Neveu model is fundamentally different from that in QCD. We find that this difference explains why there is an unphysical transition in QCD simulations at mu =/= 0 associated with the pion mass scale whereas the transition in the Gross-Neveu model occurs at a larger mass scale and is therefore consistent with theoretical predictions. W...

  19. Loovkirjutamist õpetab Philip Gross

    Index Scriptorium Estoniae

    2011-01-01

    T.S. Elioti luulepreemia laureaat Philip Gross on Tallinna Ülikooli talvekooli rahvusvahelise kursuse "Poetry: A Conversation between Words and Silence" läbiviija. Oma seminarides keskendub ta lisaks loovkirjutamisele ka loova lugemise vajadusele

  20. Gross Sales Tax Collections

    Data.gov (United States)

    City of Jackson, Mississippi — This data is captured directly from the MS Department of Revenue and specific to the City of Jackson. It is compiled from Gross Sales Tax reported by taxpayers each...

  1. The Mechanics of Gross Moist Stability

    Directory of Open Access Journals (Sweden)

    Zeljka Fuchs

    2009-08-01

    Full Text Available The gross moist stability relates the net lateral outflow of moist entropy or moist static energy from an atmospheric convective region to some measure of the strength of the convection in that region. If the gross moist stability can be predicted as a function of the local environmental conditions, then it becomes the key element in understanding how convection is controlled by the large-scale flow. This paper provides a guide to the various ways in which the gross moist stability is defined and the subtleties of its calculation from observations and models. Various theories for the determination of the gross moist stability are presented and its roles in current conceptual models for the tropical atmospheric circulation are analyzed. The possible effect of negative gross moist stability on the development and dynamics of tropical disturbances is currently of great interest.

  2. Comparison of imaging-based gross tumor volume and pathological volume determined by whole-mount serial sections in primary cervical cancer

    Directory of Open Access Journals (Sweden)

    Zhang Y

    2013-07-01

    Full Text Available Ying Zhang,1,* Jing Hu,1,* Jianping Li,1 Ning Wang,1 Weiwei Li,1 Yongchun Zhou,1 Junyue Liu,1 Lichun Wei,1 Mei Shi,1 Shengjun Wang,2 Jing Wang,2 Xia Li,3 Wanling Ma4 1Department of Radiation Oncology, 2Department of Nuclear Medicine, 3Department of Pathology, 4Department of Radiology, Xijing Hospital, Xi'an, People's Republic of China*These authors contributed equally to this workObjective: To investigate the accuracy of imaging-based gross tumor volume (GTV compared with pathological volume in cervical cancer.Methods: Ten patients with International Federation of Gynecology and Obstetrics stage I–II cervical cancer were eligible for investigation and underwent surgery in this study. Magnetic resonance imaging (MRI and fluorine-18 fluorodeoxyglucose positron emission tomography (18F-FDG PET/computed tomography (CT scans were taken the day before surgery. The GTVs under MRI and 18F-FDG PET/CT (GTV-MRI, GTV-PET, GTV-CT were calculated automatically by Eclipse treatment-planning systems. Specimens of excised uterine cervix and cervical cancer were consecutively sliced and divided into whole-mount serial sections. The tumor border of hematoxylin and eosin-stained sections was outlined under a microscope by an experienced pathologist. GTV through pathological image (GTV-path was calculated with Adobe Photoshop.Results: The GTVs (average ± standard deviation delineated and calculated under CT, MRI, PET, and histopathological sections were 19.41 ± 11.96 cm3, 12.66 ± 10.53 cm3, 11.07 ± 9.44 cm3, and 10.79 ± 8.71 cm3, respectively. The volume of GTV-CT or GTV-MR was bigger than GTV-path, and the difference was statistically significant (P 0.05. Spearman correlation analysis showed that GTV-CT, GTV-MRI, and GTV-PET were significantly correlated with GTV-path (P < 0.01. There was no significant difference in the lesion coverage factor among the three modalities.Conclusion: The present study showed that GTV defined under 40% of maximum standardized

  3. CGRP in human models of primary headaches

    DEFF Research Database (Denmark)

    Ashina, Håkan; Schytz, Henrik Winther; Ashina, Messoud

    2017-01-01

    experiments are likely due to assay variation; therefore, proper validation and standardization of an assay is needed. To what extent CGRP is involved in tension-type headache and cluster headache is unknown. CONCLUSION: Human models of primary headaches have elucidated the role of CGRP in headache......OBJECTIVE: To review the role of CGRP in human models of primary headaches and to discuss methodological aspects and future directions. DISCUSSION: Provocation experiments demonstrated a heterogeneous CGRP migraine response in migraine patients. Conflicting CGRP plasma results in the provocation...... pathophysiology and sparked great interest in developing new treatment strategies using CGRP antagonists and antibodies. Future studies applying more refined human experimental models should identify biomarkers of CGRP-induced primary headache and reveal whether CGRP provocation experiments could be used...

  4. Comparison between remote sensing and a dynamic vegetation model for estimating terrestrial primary production of Africa.

    Science.gov (United States)

    Ardö, Jonas

    2015-12-01

    Africa is an important part of the global carbon cycle. It is also a continent facing potential problems due to increasing resource demand in combination with climate change-induced changes in resource supply. Quantifying the pools and fluxes constituting the terrestrial African carbon cycle is a challenge, because of uncertainties in meteorological driver data, lack of validation data, and potentially uncertain representation of important processes in major ecosystems. In this paper, terrestrial primary production estimates derived from remote sensing and a dynamic vegetation model are compared and quantified for major African land cover types. Continental gross primary production estimates derived from remote sensing were higher than corresponding estimates derived from a dynamic vegetation model. However, estimates of continental net primary production from remote sensing were lower than corresponding estimates from the dynamic vegetation model. Variation was found among land cover classes, and the largest differences in gross primary production were found in the evergreen broadleaf forest. Average carbon use efficiency (NPP/GPP) was 0.58 for the vegetation model and 0.46 for the remote sensing method. Validation versus in situ data of aboveground net primary production revealed significant positive relationships for both methods. A combination of the remote sensing method with the dynamic vegetation model did not strongly affect this relationship. Observed significant differences in estimated vegetation productivity may have several causes, including model design and temperature sensitivity. Differences in carbon use efficiency reflect underlying model assumptions. Integrating the realistic process representation of dynamic vegetation models with the high resolution observational strength of remote sensing may support realistic estimation of components of the carbon cycle and enhance resource monitoring, providing suitable validation data is available.

  5. A quantitative evaluation of gross versus histologic neuroma formation in a rabbit forelimb amputation model: potential implications for the operative treatment and study of neuromas

    Directory of Open Access Journals (Sweden)

    Kuiken Todd A

    2011-10-01

    Full Text Available Abstract Background Surgical treatment of neuromas involves excision of neuromas proximally to the level of grossly "normal" fascicles; however, proximal changes at the axonal level may have both functional and therapeutic implications with regard to amputated nerves. In order to better understand the retrograde "zone of injury" that occurs after nerve transection, we investigated the gross and histologic changes in transected nerves using a rabbit forelimb amputation model. Methods Four New Zealand White rabbits underwent a forelimb amputation with transection and preservation of the median, radial, and ulnar nerves. After 8 weeks, serial sections of the amputated nerves were then obtained in a distal-to-proximal direction toward the brachial plexus. Quantitative histomorphometric analysis was performed on all nerve specimens. Results All nerves demonstrated statistically significant increases in nerve cross-sectional area between treatment and control limbs at the distal nerve end, but these differences were not observed 10 mm more proximal to the neuroma bulb. At the axonal level, an increased number of myelinated fibers were seen at the distal end of all amputated nerves. The number of myelinated fibers progressively decreased in proximal sections, normalizing at 15 mm proximally, or the level of the brachial plexus. The cross-sectional area of myelinated fibers was significantly decreased in all sections of the treatment nerves, indicating that atrophic axonal changes proceed proximally at least to the level of the brachial plexus. Conclusions Morphologic changes at the axonal level extend beyond the region of gross neuroma formation in a distal-to-proximal fashion after nerve transection. This discrepancy between gross and histologic neuromas signifies the need for improved standardization among neuroma models, while also providing a fresh perspective on how we should view neuromas during peripheral nerve surgery.

  6. A Primary Quantum Model of Telepathy

    OpenAIRE

    Gao, Shan

    2003-01-01

    In this paper, we give a primary quantum theoretical model of telepathy based on the principle of quantum superluminal communication (QSC). Some feasible experimental suggestions are presented. The possible application of telepathy as one kind of new communication means is also discussed.

  7. [The model of adaptive primary image processing].

    Science.gov (United States)

    Dudkin, K N; Mironov, S V; Dudkin, A K; Chikhman, V N

    1998-07-01

    A computer model of adaptive segmentation of the 2D visual objects was developed. Primary image descriptions are realised via spatial frequency filters and feature detectors performing as self-organised mechanisms. Simulation of the control processes related to attention, lateral, frequency-selective and cross-orientation inhibition, determines the adaptive image processing.

  8. Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate

    NARCIS (Netherlands)

    Beer, C.; Veenendaal, E.M.

    2010-01-01

    Terrestrial gross primary production (GPP) is the largest global CO2 flux driving several ecosystem functions. We provide an observation-based estimate of this flux at 123 ± 8 petagrams of carbon per year (Pg C year-1) using eddy covariance flux data and various diagnostic models. Tropical forests

  9. FUZZY ECCENTRICITY AND GROSS ERROR IDENTIFICATION

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The dominant and recessive effect made by exceptional interferer is analyzed in measurement system based on responsive character, and the gross error model of fuzzy clustering based on fuzzy relation and fuzzy equipollence relation is built. The concept and calculate formula of fuzzy eccentricity are defined to deduce the evaluation rule and function of gross error, on the base of them, a fuzzy clustering method of separating and discriminating the gross error is found. Utilized in the dynamic circular division measurement system, the method can identify and eliminate gross error in measured data, and reduce measured data dispersity. Experimental results indicate that the use of the method and model enables repetitive precision of the system to improve 80% higher than the foregoing system, to reach 3.5 s, and angle measurement error is less than 7 s.

  10. Pushing the envelope: laparoscopy and primary anastomosis are technically feasible in stable patients with Hinchey IV perforated acute diverticulitis and gross faeculent peritonitis.

    Science.gov (United States)

    Di Saverio, Salomone; Vennix, Sandra; Birindelli, Arianna; Weber, Dieter; Lombardi, Raffaele; Mandrioli, Matteo; Tarasconi, Antonio; Bemelman, Willem A

    2016-12-01

    Modern management of severe acute complicated diverticulitis continues to evolve towards more conservative and minimally invasive strategies. Although open sigmoid colectomy with end colostomy remains the most commonly used procedure for the treatment of perforated diverticulitis with purulent/faeculent peritonitis, recent major advances challenged this traditional approach, including the increasing attitude towards primary anastomosis as an alternative to end colostomy and use of laparoscopic approach for urgent colectomy. Provided an accurate patients selection, having the necessary haemodynamic stability, pneumoperitoneum is established with open Hasson technique and diagnostic laparoscopy is performed. If faeculent peritonitis (Hinchey IV perforated diverticulitis) is found, laparoscopy can be continued and a further three working ports are placed using bladeless trocars, as in traditional laparoscopic sigmoidectomy, with the addition of fourth trocar in left flank. The feacal matter is aspirated either with large-size suction devices or, in case of free solid stools, these can be removed with novel application of tight sealing endobags, which can be used for scooping the feacal content out and for its protected retrieval. After decontamination, a sigmoid colectomy is performed in the traditional laparoscopic fashion. The sigmoid is fully mobilised from the retroperitoneum, and mesocolon is divided up to the origin of left colic vessels. Whenever mesentery has extremely inflamed and thickened oedematous tissues, an endostapler with vascular load can be used to avoid vascular selective ligatures. Splenic flexure should be appropriately mobilised. The specimen is extracted through mini-Pfannenstiel incision with muscle splitting technique. Transanal colo-rectal anastomosis is fashioned. Air-leak test must be performed and drains placed where appropriate. The video shows operative technique for a single-stage, entirely laparoscopic, washout and sigmoid colectomy

  11. Modelling black spruce primary production and carbon allocation in the Quebec boreal forest

    Science.gov (United States)

    Gennaretti, Fabio; Guiot, Joel; Berninger, Frank; Boucher, Etienne; Gea-Izquierdo, Guillermo

    2017-04-01

    Boreal ecosystems are crucial carbon stores that must be urgently quantified and preserved. Their future evolution is extremely important for the global carbon budget. Here, we will show the progresses achieved with the MAIDEN forest ecophysiological model in simulating carbon fluxes of black spruce (Picea mariana (Mill.) B.S.P.) forests, the most representative ecosystem of the North American boreal biome. Starting from daily minimum-maximum air temperature, precipitation and CO2 atmospheric concentration, MAIDEN models the phenological (5 phenological phases are simulated each year) and meteorological controls on gross primary production (GPP) and carbon allocation to stem. The model is being calibrated on eddy covariance and tree-ring data. We will discuss the model's performance and the modifications introduced in MAIDEN to adapt the model to temperature sensitive forests of the boreal region.

  12. Delta expansion and Wilson fermion in the Gross-Neveu model: Compatibility with linear divergence and continuum limit from inverse-mass expansion

    CERN Document Server

    Yamada, Hirofumi

    2015-01-01

    We apply the $\\delta$-expansion to the Gross-Neveu model in the large $N$ limit with Wilson fermion and investigate dynamical mass generation from inverse-mass expansion. The dimensionless mass $M$ defined via the effective potential is employed as the expansion parameter of the bare coupling constant $\\beta$ which is partially renormalized by the subtraction of linear divergence. We show that $\\delta$-expansion of the $1/M$ series of $\\beta$ is compatible with the mass renormalization. After the confirmation of the continuum scaling of the bare coupling without fermion doubling, we attempt to estimate dynamical mass in the continuum limit and obtain the results converging to the exact value for values of Wilson parameter $r\\in (0.8,1.0)$.

  13. Multiregional estimation of gross internal migration flows.

    Science.gov (United States)

    Foot, D K; Milne, W J

    1989-01-01

    "A multiregional model of gross internal migration flows is presented in this article. The interdependence of economic factors across all regions is recognized by imposing a non-stochastic adding-up constraint that requires total inmigration to equal total outmigration in each time period. An iterated system estimation technique is used to obtain asymptotically consistent and efficient parameter estimates. The model is estimated for gross migration flows among the Canadian provinces over the period 1962-86 and then is used to examine the likelihood of a wash-out effect in net migration models. The results indicate that previous approaches that use net migration equations may not always be empirically justified."

  14. Gross margin losses due to Salmonella Dublin infection in Danish dairy cattle herds estimated by simulation modelling

    DEFF Research Database (Denmark)

    Nielsen, Torben Dahl; Kudahl, Anne Braad; Østergaard, S.

    2013-01-01

    and dynamic simulation model. The model incorporated six age groups (neonatal, pre-weaned calves, weaned calves, growing heifers, breeding heifers and cows) and five infection stages (susceptible, acutely infected, carrier, super shedder and resistant). The effects of introducing one S. Dublin infectious...... losses. This was more influential in the poorer management scenarios due to increased number of infected cows. The results can be used to inform dairy farmers of the benefits of preventing introduction and controlling spread of S. Dublin. Furthermore, they can be used in cost-benefit analyses of control...

  15. Gross decontamination experiment report

    Energy Technology Data Exchange (ETDEWEB)

    Mason, R.; Kinney, K.; Dettorre, J.; Gilbert, V.

    1983-07-01

    A Gross Decontamination Experiment was conducted on various levels and surfaces of the TMI - Unit 2 reactor building in March 1982. The polar crane, D-rings, missile shields, refueling canals, refueling bridges, equipment, and elevations 305' and 347'-6'' were flushed with low pressure water. Additionally, floor surfaces on elevation 305' and floor surfaces and major pieces of equipment on elevation 347'-6'' were sprayed with high pressure water. Selective surfaces were decontaminated with a mechanical scrubber and chemicals. Strippable coating was tested and evaluated on equipment and floor surfaces. The effectiveness, efficiency, and safety of several decontamination techniques were established for the large, complex decontamination effort. Various decontamination equipment was evaluated and its effectiveness was documented. Decontamination training and procedures were documented and evaluated, as were the support system and organization for the experiment.

  16. Numerical simulation for the Gross-Pitaevskii equation based on the lattice Boltzmann method

    Science.gov (United States)

    Wang, Huimin

    2017-09-01

    A lattice Boltzmann model for the Gross-Pitaevskii equation is proposed in this paper. Some numerical tests for one- and two-dimensional Gross-Pitaevskii equation have been conducted. The waves of the Gross-Pitaevskii equation are simulated. Numerical results show that the lattice Boltzmann method is an effective method for the wave of the Gross-Pitaevskii equation.

  17. Modeling and Monitoring Terrestrial Primary Production in a Changing Global Environment: Toward a Multiscale Synthesis of Observation and Simulation

    Directory of Open Access Journals (Sweden)

    Shufen Pan

    2014-01-01

    Full Text Available There is a critical need to monitor and predict terrestrial primary production, the key indicator of ecosystem functioning, in a changing global environment. Here we provide a brief review of three major approaches to monitoring and predicting terrestrial primary production: (1 ground-based field measurements, (2 satellite-based observations, and (3 process-based ecosystem modelling. Much uncertainty exists in the multi-approach estimations of terrestrial gross primary production (GPP and net primary production (NPP. To improve the capacity of model simulation and prediction, it is essential to evaluate ecosystem models against ground and satellite-based measurements and observations. As a case, we have shown the performance of the dynamic land ecosystem model (DLEM at various scales from site to region to global. We also discuss how terrestrial primary production might respond to climate change and increasing atmospheric CO2 and uncertainties associated with model and data. Further progress in monitoring and predicting terrestrial primary production requires a multiscale synthesis of observations and model simulations. In the Anthropocene era in which human activity has indeed changed the Earth’s biosphere, therefore, it is essential to incorporate the socioeconomic component into terrestrial ecosystem models for accurately estimating and predicting terrestrial primary production in a changing global environment.

  18. Gross world product and consumption in a global warming model with endogenous technological change. A study with DEMETER

    Energy Technology Data Exchange (ETDEWEB)

    Van der Zwaan, B.C.C. [ECN Policy Studies, Petten (Netherlands); Gerlagh, R. [Institute for Environmental Studies IVM, Amsterdam (Netherlands)

    2002-06-01

    This paper analyzes the macro-economic costs and effects on consumption and energy demand of limiting the global average atmospheric temperature increase to 2 degrees Celsius. We use a macro-economic model (DEMETER: DE-carbonization Model with Endogenous Technologies for Emission Reduction) in which there are two competing energy technologies (carbon and non-carbon, respectively), technological change is represented endogenously, and energy is aggregated through a CES function implying positive demand for the relatively expensive non-carbon technology. Technological change is represented through a learning curve describing decreasing energy production costs as a function of cumulative experience. We compare scenarios that (1) allow for energy savings, versus scenarios that assume energy demand following an exogenous path, and scenarios that (2) allow for enhanced learning effects resulting from increased experience obtained with the carbon and non-carbon technologies, versus scenarios that assume production costs following an exogenous path. We find that energy savings constitutes an important mechanism for decreasing abatement costs in the short and medium term, while the acquisition of additional learning experience substantially decreases abatement costs in the longer term.

  19. Investigating impacts of economic growth on the environment using remote sensing tools: A case study of gross domestic product and net primary production in China from 2001 to 2007

    Science.gov (United States)

    Zhao, Naizhuo

    Pursuing sustainable co-development of economy and environment has been established as a basic national policy by the present Chinese government. However, studies regarding actual outcomes of the co-development policy at the whole Chinese scale are still limited. Detecting China's economic growth and changes of environmental quality will not only contribute to evaluation of outcomes of the co-development policy but more importantly is an opportunity to examine the suitability of the IPAT model and improve our understanding of human-environment interactions. The core of the IPAT theory is an equation where I=PxAxT that models human impact on the environment as a function of changes to population (P), affluence ( A), and technology (T). The IPAT theory emphasizes that economic growth will inevitably produce negative impacts on the environment. Thus, if China's environmental quality declined while economic growth occurred, then the IPAT theory will be substantiated. Otherwise, the suitability of the IPAT theory will be called into question and its tenets must be reconsidered. In this dissertation research I selected gross domestic product (GDP) and net primary production (NPP) as indicators to evaluate production of social and ecological systems respectively. The main study objectives are (1) to develop a methodology to facilitate integration of the two indicators derived from demographic data sources and satellite imagery at different geographic scales, (2) to jointly explore changing patterns of China's economic and ecological production (i.e., spatially and temporally coincident patterns of change in GDP and NPP) across different spatial scales, (3) to analyze whether economic growth has produced negative impacts on ecosystem production and whether the impacts correlate to the economic growth, and finally (4) to discuss whether the IPAT theory is suitable for explaining the joint changes of GDP and NPP in China or if it is in need of modification. To fulfill the

  20. [Catalonia's primary healthcare accreditation model: a valid model].

    Science.gov (United States)

    Davins, Josep; Gens, Montserrat; Pareja, Clara; Guzmán, Ramón; Marquet, Roser; Vallès, Roser

    2014-07-01

    There are few experiences of accreditation models validated by primary care teams (EAP). The aim of this study was to detail the process of design, development, and subsequent validation of the consensus EAP accreditation model of Catalonia. An Operating Committee of the Health Department of Catalonia revised models proposed by the European Foundation for Quality Management, the Joint Commission International and the Institut Català de la Salut and proposed 628 essential standards to the technical group (25 experts in primary care and quality of care), to establish consensus standards. The consensus document was piloted in 30 EAP for the purpose of validating the contents, testing standards and identifying evidence. Finally, we did a survey to assess acceptance and validation of the document. The Technical Group agreed on a total of 414 essential standards. The pilot selected a total of 379. Mean compliance with the standards of the final document in the 30 EAP was 70.4%. The standards results were the worst fulfilment percentage. The survey target that 83% of the EAP found it useful and 78% found the content of the accreditation manual suitable as a tool to assess the quality of the EAP, and identify opportunities for improvement. On the downside they highlighted its complexity and laboriousness. We have a model that fits the reality of the EAP, and covers all relevant issues for the functioning of an excellent EAP. The model developed in Catalonia is a model for easy understanding.

  1. Comparison of 68Ga-HBED-CC PSMA-PET/CT and multiparametric MRI for gross tumour volume detection in patients with primary prostate cancer based on slice by slice comparison with histopathology

    Science.gov (United States)

    Zamboglou, Constantinos; Drendel, Vanessa; Jilg, Cordula A.; Rischke, Hans C.; Beck, Teresa I.; Schultze-Seemann, Wolfgang; Krauss, Tobias; Mix, Michael; Schiller, Florian; Wetterauer, Ulrich; Werner, Martin; Langer, Mathias; Bock, Michael; Meyer, Philipp T.; Grosu, Anca L.

    2017-01-01

    Purpose: The exact detection and delineation of the intraprostatic tumour burden is crucial for treatment planning in primary prostate cancer (PCa). We compared 68Ga-HBED-CC-PSMA PET/CT with multiparametric MRI (mpMRI) for diagnosis and tumour delineation in patients with primary PCa based on slice by slice correlation with histopathological reference material. Methodology: Seven patients with histopathologically proven primary PCa underwent 68Ga-HBED-CC-PSMA PET/CT and MRI followed by radical prostatectomy. Resected prostates were scanned by ex-vivo CT in a special localizer and prepared for histopathology. Invasive PCa was delineated on a HE stained histologic tissue slide and matched to ex-vivo CT to obtain gross tumor volume (GTV-)histo. Ex-vivo CT including GTV-histo and MRI data were matched to in-vivo CT(PET). Consensus contours based on MRI (GTV-MRI), PSMA PET (GTV-PET) or the combination of both (GTV-union/-intersection) were created. In each in-vivo CT slice the prostate was separated into 4 equal segments and sensitivity and specificity for PSMA PET and mpMRI were assessed by comparison with histological reference material. Furthermore, the spatial overlap between GTV-histo and GTV-PET/-MRI and the Sørensen-Dice coefficient (DSC) were calculated. In the case of multifocal PCa (4/7 patients), SUV values (PSMA PET) and ADC-values (diffusion weighted MRI) were obtained for each lesion. Results: PSMA PET and mpMRI detected PCa in all patients. GTV-histo was detected in 225 of 340 segments (66.2%). Sensitivity and specificity for GTV-PET, GTV-MRI, GTV-union and GTV-intersection were 75% and 87%, 70% and 82%, 82% and 67%, 55% and 99%, respectively. GTV-histo had on average the highest overlap with GTV-union (57±22%), which was significantly higher than overlap with GTV-MRI (p=0.016) and GTV-PET (p=0.016), respectively. The mean DSC for GTV-union, GTV-PET and GTV-MRI was 0.51 (±0.18), 0.45 (±0.17) and 0.48 (±0.19), respectively. In every patient with

  2. Mathematical Modelling for Singapore Primary Classrooms: From a Teacher's Lens

    Science.gov (United States)

    Seto, Cynthia; Magdalene, Thomas Mary; Ng Kit Ee, Dawn; Chan Chun Ming, Eric; Widjaja, Wanty

    2012-01-01

    Limited Singapore research indicated a lack of exposure of modelling tasks at primary levels. Teacher reflection is used as a tool in design research cycles exploring the potentials of modelling tasks in a Singapore primary five classroom. Findings reveal that the teacher identified three potentials of a modelling task on children's…

  3. Gross job flows and firms

    OpenAIRE

    Scott Schuh; Robert K. Triest

    1999-01-01

    This paper extends the work of Dunne, Roberts, and Samuelson [3] and Davis, Haltiwanger, and Schuh [2] on gross job flows among manufacturing plants. Gross job creation, destruction, and reallocation have been shown to be important in understanding the birth, growth, and death of plants, and the relation of plant life cycles to the business cycle. However, little is known about job flows between firms or how job flows among plants occur within firms (corporate restructuring). We use informati...

  4. Models for Primary Eye Care Services in India

    Directory of Open Access Journals (Sweden)

    Vasundhra Misra

    2015-01-01

    In the current situation, an integrated health care system with primary eye care promoted by government of India is apparently the best answer. This model is both cost effective and practical for the prevention and control of blindness among the underprivileged population. Other models functioning with the newer technology of tele-ophthalmology or mobile clinics also add to the positive outcome in providing primary eye care services. This review highlights the strengths and weaknesses of various models presently functioning in the country with the idea of providing useful inputs for eye care providers and enabling them to identify and adopt an appropriate model for primary eye care services.

  5. [Primary care practices in Germany: a model for the future].

    Science.gov (United States)

    Beyer, Martin; Gerlach, Ferdinand M; Erler, Antje

    2011-01-01

    In its 2009 report the Federal Advisory Council on the Assessment of Developments in the Health Care System developed a model of Primary Care Practices for future general practice-based primary care. This article presents the theoretical background of the model. Primary care practices are seen as developed organisations requiring changes at all system levels (interaction, organisation, and health system) to ensure sustainability of primary care functions in the future. Developments of the elements comprising the health care system may be compared to the developments and proposals observed in other countries. In Germany, however, the pace of these developments is relatively slow.

  6. On a question of Gross

    Science.gov (United States)

    Banerjee, Abhijit

    2007-03-01

    Using the notion of weighted sharing of sets we prove two uniqueness theorems which improve the results proved by Fang and Qiu [H. Qiu, M. Fang, A unicity theorem for meromorphic functions, Bull. Malaysian Math. Sci. Soc. 25 (2002) 31-38], Lahiri and Banerjee [I. Lahiri, A. Banerjee, Uniqueness of meromorphic functions with deficient poles, Kyungpook Math. J. 44 (2004) 575-584] and Yi and Lin [H.X. Yi, W.C. Lin, Uniqueness theorems concerning a question of Gross, Proc. Japan Acad. Ser. A 80 (2004) 136-140] and thus provide an answer to the question of Gross [F. Gross, Factorization of meromorphic functions and some open problems, in: Proc. Conf. Univ. Kentucky, Lexington, KY, 1976, in: Lecture Notes in Math., vol. 599, Springer, Berlin, 1977, pp. 51-69], under a weaker hypothesis.

  7. Organizational effectiveness. Primary care and the congruence model.

    Science.gov (United States)

    Eiser, A R; Eiser, B J

    1996-10-01

    The congruence model is a framework used to analyze organizational strengths and weaknesses and pinpoint specific areas for improving effectiveness. This article provides an overview of organizations as open systems, with examples in the primary care arena. It explains and applies the congruence model in the context of primary care issues and functions, including methods by which the model can be used to diagnose organizational problems and generate solutions. Changes needed in primary care due to the managed care environment, and areas of potential problems and sensitivities requiring organizational changes to meet market and regulatory demands now placed on PCOs are examined.

  8. IMPAIRED PROCESSING IN THE PRIMARY AUDITORY CORTEX OF AN ANIMAL MODEL OF AUTISM

    Directory of Open Access Journals (Sweden)

    Renata eAnomal

    2015-11-01

    Full Text Available Autism is a neurodevelopmental disorder clinically characterized by deficits in communication, lack of social interaction and, repetitive behaviors with restricted interests. A number of studies have reported that sensory perception abnormalities are common in autistic individuals and might contribute to the complex behavioral symptoms of the disorder. In this context, hearing incongruence is particularly prevalent. Considering that some of this abnormal processing might stem from the unbalance of inhibitory and excitatory drives in brain circuitries, we used an animal model of autism induced by valproic acid (VPA during pregnancy in order to investigate the tonotopic organization of the primary auditory cortex (AI and its local inhibitory circuitry. Our results show that VPA rats have distorted primary auditory maps with over-representation of high frequencies, broadly tuned receptive fields and higher sound intensity thresholds as compared to controls. However, we did not detect differences in the number of parvalbumin-positive interneurons in AI of VPA and control rats. Altogether our findings show that neurophysiological impairments of hearing perception in this autism model occur independently of alterations in the number of parvalbumin-expressing interneurons. These data support the notion that fine circuit alterations, rather than gross cellular modification, could lead to neurophysiological changes in the autistic brain.

  9. Sectoral contributions to Nigerian gross domestic product using a ...

    African Journals Online (AJOL)

    Global Journal of Pure and Applied Sciences ... This study analyzed sectoral contributions to Gross Domestic Product by Agriculture, Industry and services ... KEYWORDS: Granger causality, Unit root, VAR model and sectoral contribution ...

  10. Consulting Psychiatry within an Integrated Primary Care Model

    Science.gov (United States)

    Schreiter, Elizabeth A. Zeidler; Pandhi, Nancy; Fondow, Meghan D. M.; Thomas, Chantelle; Vonk, Jantina; Reardon, Claudia L.; Serrano, Neftali

    2014-01-01

    Summary After implementation of an integrated consulting psychiatry model and psychology services within primary care at a federally qualified health center, patients have increased access to needed mental health services, and primary care clinicians receive the support and collaboration needed to meet the psychiatric needs of the population. PMID:24185149

  11. Models for primary eye care services in India.

    Science.gov (United States)

    Misra, Vasundhra; Vashist, Praveen; Malhotra, Sumit; Gupta, Sanjeev K

    2015-01-01

    Blindness and visual impairment continues to be a major public health problem in India. Availability and easy access to primary eye care services is essential for elimination of avoidable blindness. 'Vision 2020: The Right to Sight - India' envisaged the need for establishing primary eye care units named vision centers for every 50,000 population in the country by the year 2020. The government of India has given priority to develop vision centers at the level of community health centers and primary health centers under the 'National Program for Control of Blindness'. NGOs and the private sector have also initiated some models for primary eye care services. In the current situation, an integrated health care system with primary eye care promoted by government of India is apparently the best answer. This model is both cost effective and practical for the prevention and control of blindness among the underprivileged population. Other models functioning with the newer technology of tele-ophthalmology or mobile clinics also add to the positive outcome in providing primary eye care services. This review highlights the strengths and weaknesses of various models presently functioning in the country with the idea of providing useful inputs for eye care providers and enabling them to identify and adopt an appropriate model for primary eye care services.

  12. Model primary content type for multipurpose internet mail extensions

    Energy Technology Data Exchange (ETDEWEB)

    Nelson, S.; Parks, C.

    1997-01-01

    The purpose of this memo is to propose an update to Internet RFC 2045 to include a new primary content-type to be known as `model`. RFC 2045 [1] describes mechanisms for specifying and describing the format of Internet Message Bodies via content-type/subtype pairs. We believe that `model` defines a fundamental type of content with unique presentational, hardware, and processing aspects. Various subtypes of this primary type are immediately anticipated but will be covered under separate documents.

  13. Modeling and Control of Primary Parallel Isolated Boost Converter

    DEFF Research Database (Denmark)

    Mira Albert, Maria del Carmen; Hernandez Botella, Juan Carlos; Sen, Gökhan

    2012-01-01

    In this paper state space modeling and closed loop controlled operation have been presented for primary parallel isolated boost converter (PPIBC) topology as a battery charging unit. Parasitic resistances have been included to have an accurate dynamic model. The accuracy of the model has been tes...

  14. Towards a universal trait-based model of terrestrial primary production

    Science.gov (United States)

    Wang, H.; Prentice, I. C.; Cornwell, W.; Keenan, T. F.; Davis, T.; Wright, I. J.; Evans, B. J.; Peng, C.

    2015-12-01

    Systematic variations of plant traits along environmental gradients have been observed for decades. For example, the tendencies of leaf nitrogen per unit area to increase, and of the leaf-internal to ambient CO2 concentration ratio (ci:ca) to decrease, with aridity are well established. But ecosystem models typically represent trait variation based purely on empirical relationships, or on untested conjectures, or not at all. Neglect of quantitative trait variation and its adapative significance probably contributes to the persistent large uncertainties among models in predicting the response of the carbon cycle to environmental change. However, advances in ecological theory and the accumulation of extensive data sets during recent decades suggest that theoretically based and testable predictions of trait variation could be achieved. Based on well-established ecophysiological principles and consideration of the adaptive significance of traits, we propose universal relationships between photosynthetic traits (ci:ca, carbon fixation capacity, and the ratio of electron transport capacity to carbon fixation capacity) and primary environmental variables, which capture observed trait variations both within and between plant functional types. Moreover, incorporating these traits into the standard model of C3photosynthesis allows gross primary production (GPP) of natural vegetation to be predicted by a single equation with just two free parameters, which can be estimated from independent observations. The resulting model performs as well as much more complex models. Our results provide a fresh perspective with potentially high reward: the possibility of a deeper understanding of the relationships between plant traits and environment, simpler and more robust and reliable representation of land processes in Earth system models, and thus improved predictability for biosphere-atmosphere interactions and climate feedbacks.

  15. Models for integrating rehabilitation and primary care: a scoping study.

    Science.gov (United States)

    McColl, Mary Ann; Shortt, Samuel; Godwin, Marshall; Smith, Karen; Rowe, Kirby; O'Brien, Patti; Donnelly, Catherine

    2009-09-01

    To describe the scope and breadth of knowledge currently available regarding the integration of rehabilitation and primary care services. Peer-reviewed journals were searched using CINAHL, MEDLINE, and EBM Reviews for the years 1995 through 2007. This process identified 172 items. To be considered for the subsequent review, the article had to describe a service delivery program that offered primary care and rehabilitation, or services specifically designed for people with chronic conditions/disabilities. Further, it had to be available in English or French. No methodological limitations were applied to screen for levels of evidence. Based on these criteria, 38 articles remained that pertained to both primary care and rehabilitation. These were reviewed, sorted, and categorized to discover commonalities and differences among the approaches used to integrating rehabilitation into primary care. In consultation with the team of investigators, it was determined that there were 6 different models for providing primary health care and rehabilitation services in an integrated approach: clinic, outreach, self-management, community-based rehabilitation, shared care, and case management. In addition, a number of themes were identified across models that may act as either supports or impediments to the integration of rehabilitation services into primary care settings: team approach, interprofessional trust, leadership, communication, compensation, accountability, referrals, and population-based approach. Rehabilitation providers interested in working in the primary care sector may be assisted in conceptualizing the benefits that they bring to the setting by considering these models and issues.

  16. Effective Collaboration among the Gross Motor Assessment Team Members

    Science.gov (United States)

    Menear, Kristi S.; Davis, Timothy D.

    2015-01-01

    This article describes the gross motor assessment team (GMAT) members' roles and collaborative approach to making appropriate decisions and modifications when addressing the needs of individuals with disabilities in physical education. Case studies of students are used to demonstrate effective uses of the GMAT. The primary outcome of the GMAT's…

  17. Effective Collaboration among the Gross Motor Assessment Team Members

    Science.gov (United States)

    Menear, Kristi S.; Davis, Timothy D.

    2015-01-01

    This article describes the gross motor assessment team (GMAT) members' roles and collaborative approach to making appropriate decisions and modifications when addressing the needs of individuals with disabilities in physical education. Case studies of students are used to demonstrate effective uses of the GMAT. The primary outcome of the GMAT's…

  18. Prediction Model and Algorithm of Industrial Gross Output Value Based on Electric Power Consumption%基于电力消耗的行业总产值预测模型及算法研究

    Institute of Scientific and Technical Information of China (English)

    陈晔; 王国瑞; 方彦军

    2014-01-01

    在“大数据”技术背景下,获取广东省规模以上工业企业电力消耗及总产值月度数据,基于人工神经网络结构建立行业总产值预测模型,并提出一种新的带抱团行为的粒子群优化算法完成对神经网络预测模型的参数优化,进而实现各行业基于电力消耗的总产值有效预测。仿真分析表明,新的改进型带抱团行为的粒子群优化算法具有更快的收敛速度和更高的寻优精度,能够有效地优化神经网络模型参数,实现基于电力消耗的行业总产值的有效、可靠预测。%In the context of big data technology,a prediction model for industrial gross output value based on artificial neural network was built by achieving monthly data of electric power consumption and output value of industrial enterprises above Guangdong provincial designated size. Meanwhile,a kind of new particle swarm optimization with gathering behavior was proposed to finish optimization on parameters of ANN prediction model and realize effective prediction on gross value based on electric consumption of all industries. Simulation analysis indicated that the new improved PSO was provided with faster convergence speed and higher optimizing precision which was able effectively optimize parameters of ANN model and realize effective and reliable prediction on gross output value of industries based on electric power consumption.

  19. Day/Night Cycle: Mental Models of Primary School Children

    Science.gov (United States)

    Chiras, Andreas

    2008-01-01

    The study investigated the mental models of primary school children related to the day/night cycle. Semi-structure interviews were conducted with 40 fourth-grade and 40 sixth-grade children. Qualitative and quantitative analysis of the data indicated that the majority of the children were classified as having geocentric models. The results also…

  20. A Functional Model for the Treatment of Primary Enuresis.

    Science.gov (United States)

    Goldstein, Sam; Book, Robert

    1983-01-01

    The present model, based upon Alexander and Barton's two-phase model for family therapy, was developed to provide the practicing school psychologist with an efficient, manageable program maximizing successful outcome. The program enables psychologists to adapt primary enuresis intervention strategies to suit their styles and the individual needs…

  1. Determinação por sensoriamento remoto da produtividade primária bruta do perímetro irrigado São Gonçalo - PB Assessment of gross primary production - GPP in the irrigated perimeter São Gonçalo - PB using remote sensing

    Directory of Open Access Journals (Sweden)

    Bernardo Barbosa da Silva

    2013-03-01

    Full Text Available O conhecimento da produtividade primária bruta - GPP (do inglês Gross Primary Production é de fundamental importância nos estudos de mudanças climáticas, por estar diretamente relacionada ao carbono efetivamente extraído da atmosfera pelos diferentes ecossistemas terrestres. O presente trabalho objetivou determinar a GPP no perímetro irrigado São Gonçalo (PB, localizado no Semiárido brasileiro, com imagens TM - Landsat 5 e dados complementares de superfície. Foram adquiridas imagens TM - Landsat 5, sem presença de nuvens no ano de 2008, para obtenção da GPP diária em cinco dias selecionados. O modelo utilizado expressa a GPP em função da radiação fotossinteticamente ativa absorvida e da eficiência de uso da luz pela vegetação. Os resultados obtidos foram comparados aos valores da GPP extraídos do produto MOD17A2. As diferenças entre os valores da GPP obtida segundo as duas técnicas resultaram em Desvio Absoluto Médio - DAM de 0,91 g C m-2 dia-1, Desvio Percentual Médio - DPM de 11,82% e Raiz do Desvio Quadrático Médio - RDQM de 1,12 g C m-2 dia-1. A integração da GPP em todo o Perímetro Irrigado São Gonçalo, durante os cinco dias selecionados, resultou na fixação de 200,3 a 295,3 ton C dia-1.The Gross Primary Production (GPP assessment and monitoring by remote sensing is of crucial importance in the climate changes studies given its direct connection to the effectively extracted carbon from the atmosphere by numerous earth ecosystems. The present work aims to assess the GPP in a Brazilian semi-arid irrigated area, using TM - Landsat 5 images and complementary surface meteorological data. Cloudless TM images were acquired from the year 2008 and were used to obtain daily GPP for five selected days. This model expresses GPP as a function of the absorbed photosynthetic active radiation and the efficiency of light use by vegetation. A comparison is made between the obtained results with TM images and GPP from MOD

  2. Modelling and characterization of primary settlers in view of whole plant and resource recovery modelling.

    Science.gov (United States)

    Bachis, Giulia; Maruéjouls, Thibaud; Tik, Sovanna; Amerlinck, Youri; Melcer, Henryk; Nopens, Ingmar; Lessard, Paul; Vanrolleghem, Peter A

    2015-01-01

    Characterization and modelling of primary settlers have been neglected pretty much to date. However, whole plant and resource recovery modelling requires primary settler model development, as current models lack detail in describing the dynamics and the diversity of the removal process for different particulate fractions. This paper focuses on the improved modelling and experimental characterization of primary settlers. First, a new modelling concept based on particle settling velocity distribution is proposed which is then applied for the development of an improved primary settler model as well as for its characterization under addition of chemicals (chemically enhanced primary treatment, CEPT). This model is compared to two existing simple primary settler models (Otterpohl and Freund; Lessard and Beck), showing to be better than the first one and statistically comparable to the second one, but with easier calibration thanks to the ease with which wastewater characteristics can be translated into model parameters. Second, the changes in the activated sludge model (ASM)-based chemical oxygen demand fractionation between inlet and outlet induced by primary settling is investigated, showing that typical wastewater fractions are modified by primary treatment. As they clearly impact the downstream processes, both model improvements demonstrate the need for more detailed primary settler models in view of whole plant modelling.

  3. NM Gross Receipts July - December 2012

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This layer represents boundaries for New Mexico's gross receipts tax districts as identified on the "Gross Receipts Tax Rate Schedule" published by the Taxation and...

  4. NM Gross Receipts January - June 2014

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This layer represents boundaries for New Mexico's gross receipts tax districts as identified on the "Gross Receipts Tax Rate Schedule" published by the Taxation and...

  5. NM Gross Receipts January - June 2012

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This layer represents boundaries for New Mexico's gross receipts tax districts as identified on the "Gross Receipts Tax Rate Schedule" published by the Taxation and...

  6. NM Gross Receipts January - June 2013

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This layer represents boundaries for New Mexico's gross receipts tax districts as identified on the "Gross Receipts Tax Rate Schedule" published by the Taxation and...

  7. NM Gross Receipts January - June 2011

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This layer represents boundaries for New Mexico's gross receipts tax districts as identified on the "Gross Receipts Tax Rate Schedule" published by the Taxation and...

  8. NM Gross Receipts July - December 2013

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This layer represents boundaries for New Mexico's gross receipts tax districts as identified on the "Gross Receipts Tax Rate Schedule" published by the Taxation and...

  9. Behavior modification in primary care: the pressure system model.

    Science.gov (United States)

    Katz, D L

    2001-01-01

    The leading causes of death in the United States are predominantly attributable to modifiable behaviors. Patients with behavioral risk factors for premature death and disability, including dietary practices; sexual practices; level of physical activity; motor vehi cle use patterns; and tobacco, alcohol, and illicit sub stance use, are seen far more consistently by primary care providers than by mental health specialists. Yet models of behavior modification are reported, debated, and revised almost exclusively in the psychology literature. While the Stages of Change Model, or Transtheo retical Model, has won application in a broadening array of clinical settings, its application in the primary care setting is apparently quite limited despite evidence of its utility [Prochaska J, Velicer W. Am J Health Promot 1997;12:38-48]. The lack of a rigorous behavioral model developed for application in the primary care setting is an impediment to the accomplishment of public health goals specified in the Healthy People objectives and in the reports of the U.S. Preventive Services Task Force. The Pressure System Model reported here synthesizes elements of established behavior modification theories for specific application under the constraints of the primary care setting. Use of the model in both clinical and research settings, with outcome evaluation, is encouraged as part of an effort to advance public health.

  10. [Establishment of osteoblast primary cilia model removed by chloral hyrate].

    Science.gov (United States)

    Ma, Xiao-ni; Shi, Wen-gui; Xie, Yan-fang; Ma, Hui-ping; Ge, Bao-feng; Zhen, Ping; Chen, Ke-ming

    2015-06-01

    To establish osteoblast model, primary cilla model was removed by chloral hyrate, observe effects of osteoblast primary cilla moved on enhancing ALP staining and calcified nodules staining in electromagnetic field. Three 3-day-old male SD rats weighed between 6 and 9 g were killed, cranial osteoblast was drawed and adherencing cultured respectively. Cells were subcultured and randomly divided into 4 groups until reach to fusion states. The four groups included chloral hydrate non-involved group (control group), 2 mM, 4 mM and 8 mM chloral hydrate group, and cultured in 37 °C, 5% CO2 incubator for 72 h. Morphology of primary cilla was observed by laser confocal scanning microscope, and incidence of osteoblast primary cilia was analyzed by Image-Pro Plus 6.0 software. Cells in the correct concentration group which can removed cillia most effectively were selected and divided into 3 groups, including control group (C), Electromagnetic fields group (EMFs), and EMFs with 4 mM chloral hydrate group. DMEM nutrient solution contained 10%FBS were added into three groups and cultured for 9 days and formation of ALP were observed by histochemical staining of alkaline phosphatase. After 12 days' cultivation, formation of mineralization nodes was observed by alizarin red staining. Compared with control group and 2mM chloral hydrate group,4 mM chloral hydrate group could effectively remove osteoblast primary cilla (P<0.01). Removal of osteoblast primary cilla could weaken the formation of ALP and mineralization nodes in osteoblast in EMFS. Compared with EMFs group, the area of ALP and mineralization nodes in EMFs with 4 mM chloral hydrate group were decreased obviously (P<0.01). 4mM chloral hydrate could effectively remove osteoblast primary cilia. Primary cilla participate in EMFs promoting formation of ALP and mineralization nodes in osteoblast and provide new ideas for exploring mechanism of EMFs promoting osteoblast maturation and mineralization.

  11. Computational modeling in the primary processing of titanium: A review

    Science.gov (United States)

    Venkatesh, Vasisht; Wilson, Andrew; Kamal, Manish; Thomas, Matthew; Lambert, Dave

    2009-05-01

    Process modeling is increasingly becoming a vital tool for modern metals manufacturing. This paper reviews process modeling initiatives started at TIMET over the last decade for the primary processing of titanium alloys. SOLAR, a finite volume-based numerical model developed at the Ecole de Mine at Nancy, has been successfully utilized to optimize vacuum arc remelting process parameters, such as electromagnetic stirring profiles in order to minimize macrosegregation and improve ingot quality. Thermo-mechanical modeling of heat treating, billet forging, and slab rolling is accomplished via the commercial finite element analysis model, DEFORM, to determine heating times, cooling rates, strain distributions, etc.

  12. Gross anatomy of network security

    Science.gov (United States)

    Siu, Thomas J.

    2002-01-01

    Information security involves many branches of effort, including information assurance, host level security, physical security, and network security. Computer network security methods and implementations are given a top-down description to permit a medically focused audience to anchor this information to their daily practice. The depth of detail of network functionality and security measures, like that of the study of human anatomy, can be highly involved. Presented at the level of major gross anatomical systems, this paper will focus on network backbone implementation and perimeter defenses, then diagnostic tools, and finally the user practices (the human element). Physical security measures, though significant, have been defined as beyond the scope of this presentation.

  13. Nutrition guidance by primary care physicians: models and circumstances.

    Science.gov (United States)

    van Woerkum, C M

    1999-05-01

    The perception of primary care physicians of the ability to influence the lifestyle and eating habits of patients is an important factor in nutrition guidance practices. This perception is based on assumptions about the kind of influencing process that is effective or not and on the capacity of primary care physicians to play an effective role in these processes. The first elements is dealt with in this article. Three models are distinguished. The first model is the prescription model, based on a medical optimum and on information transfer as a metaphor. The second model is the persuasion model, based on a medical optimum, but presupposing blockades that have to be cornered by persuasive communication. The third is the interaction model. It is not based upon a medical but on an efficacy optimum, and on sharing of information and continuous involvement of the client in the interaction. Behind these three models we can perceive different views on communication and knowledge. Moreover, these three models are more or less appropriate with regard to different circumstances. The current stress on the psychological, social and cultural meaning of food and the new information context in which clients live, asks for more attention to the interaction model.

  14. RELAP5 MODEL OF THE DIVERTOR PRIMARY HEAT TRANSFER SYSTEM

    Energy Technology Data Exchange (ETDEWEB)

    Popov, Emilian L [ORNL; Yoder Jr, Graydon L [ORNL; Kim, Seokho H [ORNL

    2010-08-01

    This report describes the RELAP5 model that has been developed for the divertor primary heat transfer system (PHTS). The model is intended to be used to examine the transient performance of the divertor PHTS and evaluate control schemes necessary to maintain parameters within acceptable limits during transients. Some preliminary results are presented to show the maturity of the model and examine general divertor PHTS transient behavior. The model can be used as a starting point for developing transient modeling capability, including control system modeling, safety evaluations, etc., and is not intended to represent the final divertor PHTS design. Preliminary calculations using the models indicate that during normal pulsed operation, present pressurizer controls may not be sufficient to keep system pressures within their desired range. Additional divertor PHTS and control system design efforts may be required to ensure system pressure fluctuation during normal operation remains within specified limits.

  15. Characterization of animal models for primary sclerosing cholangitis (PSC).

    Science.gov (United States)

    Fickert, Peter; Pollheimer, Marion J; Beuers, Ulrich; Lackner, Carolin; Hirschfield, Gideon; Housset, Chantal; Keitel, Verena; Schramm, Christoph; Marschall, Hanns-Ulrich; Karlsen, Tom H; Melum, Espen; Kaser, Arthur; Eksteen, Bertus; Strazzabosco, Mario; Manns, Michael; Trauner, Michael

    2014-06-01

    Primary sclerosing cholangitis (PSC) is a chronic cholangiopathy characterized by biliary fibrosis, development of cholestasis and end stage liver disease, high risk of malignancy, and frequent need for liver transplantation. The poor understanding of its pathogenesis is also reflected in the lack of effective medical treatment. Well-characterized animal models are utterly needed to develop novel pathogenetic concepts and study new treatment strategies. Currently there is no consensus on how to evaluate and characterize potential PSC models, which makes direct comparison of experimental results and effective exchange of study material between research groups difficult. The International Primary Sclerosing Cholangitis Study Group (IPSCSG) has therefore summarized these key issues in a position paper proposing standard requirements for the study of animal models of PSC.

  16. Net primary productivity of China's terrestrial ecosystems from a process model driven by remote sensing.

    Science.gov (United States)

    Feng, X; Liu, G; Chen, J M; Chen, M; Liu, J; Ju, W M; Sun, R; Zhou, W

    2007-11-01

    The terrestrial carbon cycle is one of the foci in global climate change research. Simulating net primary productivity (NPP) of terrestrial ecosystems is important for carbon cycle research. In this study, China's terrestrial NPP was simulated using the Boreal Ecosystem Productivity Simulator (BEPS), a carbon-water coupled process model based on remote sensing inputs. For these purposes, a national-wide database (including leaf area index, land cover, meteorology, vegetation and soil) at a 1 km resolution and a validation database were established. Using these databases and BEPS, daily maps of NPP for the entire China's landmass in 2001 were produced, and gross primary productivity (GPP) and autotrophic respiration (RA) were estimated. Using the simulated results, we explore temporal-spatial patterns of China's terrestrial NPP and the mechanisms of its responses to various environmental factors. The total NPP and mean NPP of China's landmass were 2.235 GtC and 235.2 gCm(-2)yr(-1), respectively; the total GPP and mean GPP were 4.418 GtC and 465 gCm(-2)yr(-1); and the total RA and mean RA were 2.227 GtC and 234 gCm(-2)yr(-1), respectively. On average, NPP was 50.6% of GPP. In addition, statistical analysis of NPP of different land cover types was conducted, and spatiotemporal patterns of NPP were investigated. The response of NPP to changes in some key factors such as LAI, precipitation, temperature, solar radiation, VPD and AWC are evaluated and discussed.

  17. Spontaneous trigeminal allodynia in rats: a model of primary headache.

    Science.gov (United States)

    Oshinsky, Michael L; Sanghvi, Menka M; Maxwell, Christina R; Gonzalez, Dorian; Spangenberg, Rebecca J; Cooper, Marnie; Silberstein, Stephen D

    2012-10-01

    Animal models are essential for studying the pathophysiology of headache disorders and as a screening tool for new therapies. Most animal models modify a normal animal in an attempt to mimic migraine symptoms. They require manipulation to activate the trigeminal nerve or dural nociceptors. At best, they are models of secondary headache. No existing model can address the fundamental question: How is a primary headache spontaneously initiated? In the process of obtaining baseline periorbital von Frey thresholds in a wild-type Sprague-Dawley rat, we discovered a rat with spontaneous episodic trigeminal allodynia (manifested by episodically changing periorbital pain threshold). Subsequent mating showed that the trait is inherited. Animals with spontaneous trigeminal allodynia allow us to study the pathophysiology of primary recurrent headache disorders. To validate this as a model for migraine, we tested the effects of clinically proven acute and preventive migraine treatments on spontaneous changes in rat periorbital sensitivity. Sumatriptan, ketorolac, and dihydroergotamine temporarily reversed the low periorbital pain thresholds. Thirty days of chronic valproic acid treatment prevented spontaneous changes in trigeminal allodynia. After discontinuation, the rats returned to their baseline of spontaneous episodic threshold changes. We also tested the effects of known chemical human migraine triggers. On days when the rats did not have allodynia and showed normal periorbital von Frey thresholds, glycerol trinitrate and calcitonin gene related peptide induced significant decreases in the periorbital pain threshold. This model can be used as a predictive model for drug development and for studies of putative biomarkers for headache diagnosis and treatment.

  18. Towards a model for integrative medicine in Swedish primary care

    Directory of Open Access Journals (Sweden)

    Falkenberg Torkel

    2007-07-01

    Full Text Available Abstract Background Collaboration between providers of conventional care and complementary therapies (CTs has gained in popularity but there is a lack of conceptualised models for delivering such care, i.e. integrative medicine (IM. The aim of this paper is to describe some key findings relevant to the development and implementation of a proposed model for IM adapted to Swedish primary care. Methods Investigative procedures involved research group and key informant meetings with multiple stakeholders including general practitioners, CT providers, medical specialists, primary care administrators and county council representatives. Data collection included meeting notes which were fed back within the research group and used as ongoing working documents. Data analysis was made by immersion/crystallisation and research group consensus. Results were categorised within a public health systems framework of structures, processes and outcomes. Results The outcome was an IM model that aimed for a patient-centered, interdisciplinary, non-hierarchical mix of conventional and complementary medical solutions to individual case management of patients with pain in the lower back and/or neck. The IM model case management adhered to standard clinical practice including active partnership between a gate-keeping general practitioner, collaborating with a team of CT providers in a consensus case conference model of care. CTs with an emerging evidence base included Swedish massage therapy, manual therapy/naprapathy, shiatsu, acupuncture and qigong. Conclusion Despite identified barriers such as no formal recognition of CT professions in Sweden, it was possible to develop a model for IM adapted to Swedish primary care. The IM model calls for testing and refinement in a pragmatic randomised controlled trial to explore its clinical effectiveness.

  19. Climate data induced uncertainty in model-based estimations of terrestrial primary productivity

    Science.gov (United States)

    Wu, Zhendong; Ahlström, Anders; Smith, Benjamin; Ardö, Jonas; Eklundh, Lars; Fensholt, Rasmus; Lehsten, Veiko

    2017-06-01

    Model-based estimations of historical fluxes and pools of the terrestrial biosphere differ substantially. These differences arise not only from differences between models but also from differences in the environmental and climatic data used as input to the models. Here we investigate the role of uncertainties in historical climate data by performing simulations of terrestrial gross primary productivity (GPP) using a process-based dynamic vegetation model (LPJ-GUESS) forced by six different climate datasets. We find that the climate induced uncertainty, defined as the range among historical simulations in GPP when forcing the model with the different climate datasets, can be as high as 11 Pg C yr-1 globally (9% of mean GPP). We also assessed a hypothetical maximum climate data induced uncertainty by combining climate variables from different datasets, which resulted in significantly larger uncertainties of 41 Pg C yr-1 globally or 32% of mean GPP. The uncertainty is partitioned into components associated to the three main climatic drivers, temperature, precipitation, and shortwave radiation. Additionally, we illustrate how the uncertainty due to a given climate driver depends both on the magnitude of the forcing data uncertainty (climate data range) and the apparent sensitivity of the modeled GPP to the driver (apparent model sensitivity). We find that LPJ-GUESS overestimates GPP compared to empirically based GPP data product in all land cover classes except for tropical forests. Tropical forests emerge as a disproportionate source of uncertainty in GPP estimation both in the simulations and empirical data products. The tropical forest uncertainty is most strongly associated with shortwave radiation and precipitation forcing, of which climate data range contributes higher to overall uncertainty than apparent model sensitivity to forcing. Globally, precipitation dominates the climate induced uncertainty over nearly half of the vegetated land area, which is mainly due

  20. Fermionic coset realization of primaries in critical statistical models

    CERN Document Server

    Cabra, D C; Rothe, K D

    1995-01-01

    We obtain a fermionic coset realization of the primaries of minimal unitary models and show how their four-point functions may be calculated by the use of a reduction formula. We illustrate the construction for the Ising model, where we obtain an explicit realization of the energy operator, Onsager fermions, as well as of the order and disorder operators realizing the dual algebra, in terms of constrained Dirac fermions. The four-point correlators of these operators are shown to agree with those obtained by other methods.

  1. Evaluation of gross radioactivity in foodstuffs

    Energy Technology Data Exchange (ETDEWEB)

    Zorer, Oezlem Selcuk; Oeter, Cigdem [Yuzuncu Yil Univ., Van (Turkey). Dept. of Chemistry

    2015-05-15

    The paper presents the results of radiological investigations of food products sampled in the summer and fall of 2011 and 2012 in different parts of Van, Turkey. Gross radioactivity measurements in food products were evaluated. Food items were divided into eight groups: (1) water, (2) fish, (3) cheese products, (4) fruits, (5) vegetables, (6) herbs, (7) walnut and (8) rock salt. The levels of the gross alpha and gross beta radioactivity in all food samples varied widely ranging from 0.070 to 10.885 Bq/g and from 0.132 to 48.285 Bq/g on dry mass basis, respectively. In one sample, gross alpha and gross beta activity concentrations were found to be relatively high according to the other samples and in all samples, the gross alpha radioactivity was measured lower than the gross beta radioactivity. The gross α and gross β activities were measured by using α/β counter of the multi-detector low background system (PIC MPC-9604).

  2. Measures of Gross National Happiness

    Directory of Open Access Journals (Sweden)

    Ruut Veenhoven

    2010-02-01

    Full Text Available Happiness is rising on the political agenda and this calls for measures of how well nations perform in creating great happiness for a great number, analogous to measures of success in creating wealth, such as GDP. Happiness is defined as subjective enjoyment of one’s life as-a-whole and this can be measured using self-reports. Question on happiness are currently used in large scale surveys of the general population in nations. As a result we have now comparable data on happiness in 144 contemporary nations and time-series of 25 years and longer on 11 developed nations. These data can be aggregated in different ways: If the aim is simply greater happiness for a greater number of citizens, Average happiness (AH is an appropriate measure. If the focus is on enduring happiness, it is better to combine average happiness with longevity in an index of Happy Life Years (HLY. If the aim is to reduce disparity among citizens a relevant indicator is the Inequality of Happiness (IH in the nations as measured with the standard deviation. Average and dispersion can also be combined in an index of Inequality-Adjusted Happiness (IAH. Comparison across nations shows sizable differences on all these measures of gross national happiness and these differences correspond with societal characteristics that can be influenced by policy makers, such as freedom and justice. Comparison over time shows major improvement during the last decade.

  3. Primary health care models: medical students’ knowledge and perceptions.

    Science.gov (United States)

    Brown, Judith Belle; French, Reta; McCulloch, Amy; Clendinning, Eric

    2012-03-01

    To explore the knowledge and perceptions of fourth-year medical students regarding the new models of primary health care (PHC) and to ascertain whether that knowledge influenced their decisions to pursue careers in family medicine. Qualitative study using semistructured interviews. The Schulich School of Medicine and Dentistry at The University of Western Ontario in London. Participants Fourth-year medical students graduating in 2009 who indicated family medicine as a possible career choice on their Canadian Residency Matching Service applications. Eleven semistructured interviews were conducted between January and April of 2009. Data were analyzed using an iterative and interpretive approach. The analysis strategy of immersion and crystallization assisted in synthesizing the data to provide a comprehensive view of key themes and overarching concepts. Four key themes were identified: the level of students’ knowledge regarding PHC models varied; the knowledge was generally obtained from practical experiences rather than classroom learning; students could identify both advantages and disadvantages of working within the new PHC models; and although students regarded the new PHC models positively, these models did not influence their decisions to pursue careers in family medicine. Knowledge of the new PHC models varies among fourth-year students, indicating a need for improved education strategies in the years before clinical training. Being able to identify advantages and disadvantages of the PHC models was not enough to influence participants’ choice of specialty. Educators and health care policy makers need to determine the best methods to promote and facilitate knowledge transfer about these PHC models.

  4. ɛ-expansion in the Gross-Neveu

    Science.gov (United States)

    Raju, Avinash

    2016-10-01

    We use the recently developed CFT techniques of Rychkov and Tan to compute anomalous dimensions in the O( N ) Gross-Neveu model in d = 2 + ɛ dimensions. To do this, we extend the "cowpie contraction" algorithm of arXiv:1506.06616 to theories with fermions. Our results match perfectly with Feynman diagram computations.

  5. [New model of professional self-management in primary care].

    Science.gov (United States)

    Anguita-Guimet, A; Ortiz-Molina, J; Sitjar-Martínez de Sas, S; Sisó-Almirall, A; Menacho-Pascual, I; Sebastian-Montal, L

    2012-03-01

    To analyse the benefits of a new organisational model in Primary Care based on the empowerment of professional management compared to standard model (team led by medical director). To improve the quality of care, and patient and professional satisfaction. In February 2009 six family physician (FP) and four administrative staff met to create a self-management group to care for the 10,281 population assigned to them. The total catchment population of the Primary Care (PC) centre was 32,318. Additionally, between March and December 2010 three FP, seven nurses and two administrative staff, were included in the self-management group making the total population served by the self-management group of 16,368, compared to 15,950 patients seen using the standard model. The model gave priority to self-demand management, professional self-coverage, to reduce clinic bureaucracy, greater efficiency and participation in research and teaching. 1) Milestone in Pilot Phase (December-2008 to December-2009): increase in attended population, reduction in clinic visits, significant reduction in delay to be visited by a doctor; significant reduction of complementary tests (x-rays, laboratory tests); increase in use of generic drugs and reduction of expensive and new drugs without added value, and active participation in teaching and clinical trials. 2) Consolidation Phase (December-2010, compared to other professionals working in a standard model in the same centre): self-management group reported a lower percentage of clinic visits and a higher percentage of visits resolved through telephoning the clinic. Furthermore, the self-management group achieved better financial results than the control group (additional medical tests, pharmacy budget). The self-management group had improved job satisfaction compared to control group (measured by Professional Questionnaire QoL-35). The new model has increased professional satisfaction and may improve results in some health indicators

  6. A micro-epidemic model for primary dengue infection

    Science.gov (United States)

    Mishra, Arti; Gakkhar, Sunita

    2017-06-01

    In this paper, a micro-epidemic non-linear dynamical model has been proposed and analyzed for primary dengue infection. The model incorporates the effects of T cells immune response as well as humoral response during pathogenesis of dengue infection. The time delay has been accounted for production of antibodies from B cells. The basic reproduction number (R0) has been computed. Three equilibrium states are obtained. The existence and stability conditions for infection-free and ineffective cellular immune response state have been discussed. The conditions for existence of endemic state have been obtained. Further, the parametric region is obtained where system exhibits complex behavior. The threshold value of time delay has been computed which is critical for change in stability of endemic state. A threshold level for antibodies production rate has been obtained over which the infection will die out even though R0 > 1. The model is in line with the clinical observation that viral load decreases within 7-14 days from the onset of primary infection.

  7. Developing a Model of Teaching English to Primary School Students

    Directory of Open Access Journals (Sweden)

    Suwarsih Madya

    2004-01-01

    Full Text Available Under the auspices of the Centre for Curriculum Decelopment, a three-cycle action research study was carried out in three primary schools in Yogyakarta with the aim of developing a model of teaching English to primary school students. The model consists of five parts: Opening, Content Focus, Language Focus, Communication Focus, and Closing. The model, requiring that learning tasks involve active participation of students, both physically and mentally, supported by the use of media suitable for young learners, was developmentally fully implemented. The results showed that efforts were mostly made to establish teacher-student rapport in the first cycle, in which success in classroom management was gradually reached. This led to the easier second cycle, which was characterized by increasing teacher talk (classroom English, the use of interesting media, and more active students' participation in the tasks involving various games which successfully elicited students' English. All of this was solidified in the third cycle. The conclusion is that with the three aspects being focused successively, teacher-student good rapport being established, various media being used, and competing and cooperative tasks being assigned in balance, joyful and effective learning is likely to occur.

  8. Pathogenesis of primary biliary cirrhosis: A unifying model

    Institute of Scientific and Technical Information of China (English)

    Elias Kouroumalis; George Notas

    2006-01-01

    Primary biliary cirrhosis (PBC) is a disease of unknown etiology leading to progressive destruction of small intrahepatic bile ducts and eventually to liver cirrhosis and failure. It is characterised by female predominance and serum auto-antibodies to mitochondrial antigens targeting the E2 components of the 2-oxoacid dehydrogenase complex. Although they are associated with disease pathogenesis, no concrete evidence has been presented so far. Epidemiological data indicate that a geographical clustering of cases and possible environmental factors are implicated in pathogenesis. A number of genetic factors play a role in determining disease susceptibility or progression, although no definitive conclusion has been reached so far. A key factor to immune pathogenesis is considered to be the breakdown of immune tolerance, either through molecular mimicry or through the so called determinant density model. Tn this review, the available data regarding the pathogenesis of primary biliary cirrhosis are described and discussed. A new unifying hypothesis based on early endothelin overproduction in primary biliary cirrhosis (PBC) is presented and discussed.

  9. A structured model of video reproduces primary visual cortical organisation.

    Directory of Open Access Journals (Sweden)

    Pietro Berkes

    2009-09-01

    Full Text Available The visual system must learn to infer the presence of objects and features in the world from the images it encounters, and as such it must, either implicitly or explicitly, model the way these elements interact to create the image. Do the response properties of cells in the mammalian visual system reflect this constraint? To address this question, we constructed a probabilistic model in which the identity and attributes of simple visual elements were represented explicitly and learnt the parameters of this model from unparsed, natural video sequences. After learning, the behaviour and grouping of variables in the probabilistic model corresponded closely to functional and anatomical properties of simple and complex cells in the primary visual cortex (V1. In particular, feature identity variables were activated in a way that resembled the activity of complex cells, while feature attribute variables responded much like simple cells. Furthermore, the grouping of the attributes within the model closely parallelled the reported anatomical grouping of simple cells in cat V1. Thus, this generative model makes explicit an interpretation of complex and simple cells as elements in the segmentation of a visual scene into basic independent features, along with a parametrisation of their moment-by-moment appearances. We speculate that such a segmentation may form the initial stage of a hierarchical system that progressively separates the identity and appearance of more articulated visual elements, culminating in view-invariant object recognition.

  10. Model Estimates Of Gross Domestic Product In Relation to Export And Import Of Fuels, Focused on the Elasticity and Determination Of Directly and Indirectly Associated Rates

    Directory of Open Access Journals (Sweden)

    Gheorghe Săvoiu

    2016-03-01

    Full Text Available The article is based on several interrogative assumptions related to the positive impact of the crises and the recession on determinations in the econometric models of Romania’s GDP as a variable dependent in relation to the export and import of fuels. After a short introductory section, which details, in a relative manner, the overall goal and the objectives of the paper, a first section makes use of elasticity and the modern solutions of building the coefficient of elasticity, proposing an original alternative to existing variants, and afterwards the next section builds on these statistical tools in the econometric modeling of Romania’s GDP, starting from the ratios and value indicators and offering a few original models where the export and import of fuels are the key initial explanatory factors. The final remarks reinterpret the role of the energy resources, as well as that of the related flows, in enhancing statistical connections, and especially the role of crises and recessions in validating econometric models, by raising their degree of predictability.

  11. Mathematical modeling of a primary zinc/air battery

    Science.gov (United States)

    Mao, Z.; White, R. E.

    1992-01-01

    The mathematical model developed by Sunu and Bennion has been extended to include the separator, precipitation of both solid ZnO and K2Zn(OH)4, and the air electrode, and has been used to investigate the behavior of a primary Zn-Air battery with respect to battery design features. Predictions obtained from the model indicate that anode material utilization is predominantly limited by depletion of the concentration of hydroxide ions. The effect of electrode thickness on anode material utilization is insignificant, whereas material loading per unit volume has a great effect on anode material utilization; a higher loading lowers both the anode material utilization and delivered capacity. Use of a thick separator will increase the anode material utilization, but may reduce the cell voltage.

  12. Primary circuit iodine model addition to IMPAIR-3

    Energy Technology Data Exchange (ETDEWEB)

    Osetek, D.J.; Louie, D.L.Y. [Los Alamos Technical Associates, Inc., Albuquerque, NM (United States); Guntay, S.; Cripps, R. [Paul Scherrer Inst. (PSI), Villigen (Switzerland)

    1996-12-01

    As part of a continuing effort to provide the U.S. Department of Energy (DOE) Advanced Reactor Severe Accident Program (ARSAP) with complete iodine analysis capability, a task was undertaken to expand the modeling of IMPAIR-3, an iodine chemistry code. The expanded code will enable the DOE to include detailed iodine behavior in the assessment of severe accident source terms used in the licensing of U.S. Advanced Light Water Reactors (ALWRs). IMPAIR-3 was developed at the Paul Scherrer Institute (PSI), Switzerland, and has been used by ARSAP for the past two years to analyze containment iodine chemistry for ALWR source term analyses. IMPAIR-3 is primarily a containment code but the iodine chemistry inside the primary circuit (the Reactor Coolant System or RCS) may influence the iodine species released into the the containment; therefore, a RCS iodine chemistry model must be implemented in IMPAIR-3 to ensure thorough source term analysis. The ARSAP source term team and the PSI IMPAIR-3 developers are working together to accomplish this task. This cooperation is divided into two phases. Phase I, taking place in 1996, involves developing a stand-alone RCS iodine chemistry program called IMPRCS (IMPAIR -Reactor Coolant System). This program models a number of the chemical and physical processes of iodine that are thought to be important at conditions of high temperature and pressure in the RCS. In Phase II, which is tentatively scheduled for 1997, IMPRCS will be implemented as a subroutine in IMPAIR-3. To ensure an efficient calculation, an interface/tracking system will be developed to control the use of the RCS model from the containment model. These two models will be interfaced in such a way that once the iodine is released from the RCS, it will no longer be tracked by the RCS model but will be tracked by the containment model. All RCS thermal-hydraulic parameters will be provided by other codes. (author) figs., tabs., refs.

  13. Toward a Teaching Model for Primary Science. Learning in Science Project (Primary). Working Paper No. 114.

    Science.gov (United States)

    Harlen, Wynne; Osborne, Roger

    The Learning in Science Project (Primary)--LISP(P)--was designed to examine problems and difficulties in primary science and to explore ways of overcoming these problems. Early research led to a proposal that children's questions and explanations could form the basis of an alternative teaching approach. However, several issues were raised which…

  14. The Arkansas AHEC model of community-oriented primary care.

    Science.gov (United States)

    Hartwig, M S; Landis, B J

    1999-07-01

    This article explicates the Arkansas Area Health Education Center (AHEC) model of community-oriented primary care (COPC) and the role of the family nurse practitioner (FNP) in its implementation. The AHECs collaborate with local agencies to provide comprehensive, accessible, quality health care to specific patient populations, and offer learning opportunities to a wide variety of health professions students. The FNP demonstrates organizational and role competencies that include directing patient care, providing professional leadership, and developing the advanced practice nursing role. Two case studies are used to illustrate the FNPs' approach to COPC: (1) selection of interdisciplinary, multidisciplinary, and transdisciplinary approaches to management of a patient with chronic illnesses, and (2) the Sexual Assault Nurse Examiners Training Project.

  15. The future of gross anatomy teaching.

    Science.gov (United States)

    Malamed, S; Seiden, D

    1995-01-01

    A survey of U.S. departments of anatomy, physiology, and biochemistry shows that 39% of the respondent anatomy departments reported declines in the numbers of graduate students taking the human gross anatomy course. Similarly, 42% of the departments reported decreases in the numbers of graduate students teaching human gross anatomy. These decreases were greater in anatomy than in physiology and in biochemistry. The percentages of departments reporting increases in students taking or teaching their courses was 6% for human gross anatomy and 0% to 19% for physiology and biochemistry courses. To reverse this trend the establishment of specific programs for the training of gross anatomy teachers is advocated. These new teachers will be available as the need for them is increasingly recognized in the future.

  16. Validating the Rett Syndrome Gross Motor Scale

    DEFF Research Database (Denmark)

    Downs, Jenny; Stahlhut, Michelle; Wong, Kingsley;

    2016-01-01

    Rett syndrome is a pervasive neurodevelopmental disorder associated with a pathogenic mutation on the MECP2 gene. Impaired movement is a fundamental component and the Rett Syndrome Gross Motor Scale was developed to measure gross motor abilities in this population. The current study investigated...... the validity and reliability of the Rett Syndrome Gross Motor Scale. Video data showing gross motor abilities supplemented with parent report data was collected for 255 girls and women registered with the Australian Rett Syndrome Database, and the factor structure and relationships between motor scores, age...... and genotype were investigated. Clinical assessment scores for 38 girls and women with Rett syndrome who attended the Danish Center for Rett Syndrome were used to assess consistency of measurement. Principal components analysis enabled the calculation of three factor scores: Sitting, Standing and Walking...

  17. Acute lymphoblastic leukemia presenting with gross hematuria

    OpenAIRE

    Kalbani, Naifain Al; Weitzman, Sheila; Abdelhaleem, Mohamed; Carcao, Manuel; Abla, Oussama

    2007-01-01

    A case of a six-year-old boy presenting with gross hematuria is reported. Investigations revealed the etiology of the hematuria to be thrombocytopenia in the setting of newly diagnosed acute lymphoblastic leukemia. The diagnosis of leukemia was confirmed by bone marrow examination. The patient’s hematuria completely resolved with platelet transfusions. Although thrombocytopenia is a very common presenting feature of acute lymphoblastic leukemia, gross hematuria is exceedingly rare. Thus, thro...

  18. Validating the Rett Syndrome Gross Motor Scale.

    Science.gov (United States)

    Downs, Jenny; Stahlhut, Michelle; Wong, Kingsley; Syhler, Birgit; Bisgaard, Anne-Marie; Jacoby, Peter; Leonard, Helen

    2016-01-01

    Rett syndrome is a pervasive neurodevelopmental disorder associated with a pathogenic mutation on the MECP2 gene. Impaired movement is a fundamental component and the Rett Syndrome Gross Motor Scale was developed to measure gross motor abilities in this population. The current study investigated the validity and reliability of the Rett Syndrome Gross Motor Scale. Video data showing gross motor abilities supplemented with parent report data was collected for 255 girls and women registered with the Australian Rett Syndrome Database, and the factor structure and relationships between motor scores, age and genotype were investigated. Clinical assessment scores for 38 girls and women with Rett syndrome who attended the Danish Center for Rett Syndrome were used to assess consistency of measurement. Principal components analysis enabled the calculation of three factor scores: Sitting, Standing and Walking, and Challenge. Motor scores were poorer with increasing age and those with the p.Arg133Cys, p.Arg294* or p.Arg306Cys mutation achieved higher scores than those with a large deletion. The repeatability of clinical assessment was excellent (intraclass correlation coefficient for total score 0.99, 95% CI 0.93-0.98). The standard error of measurement for the total score was 2 points and we would be 95% confident that a change 4 points in the 45-point scale would be greater than within-subject measurement error. The Rett Syndrome Gross Motor Scale could be an appropriate measure of gross motor skills in clinical practice and clinical trials.

  19. Cognitive MAC Protocols for General Primary Network Models

    CERN Document Server

    Mehanna, Omar; Gamal, Hesham El

    2009-01-01

    We consider the design of cognitive Medium Access Control (MAC) protocols enabling a secondary (unlicensed) transmitter-receiver pair to communicate over the idle periods of a set of primary (licensed) channels. More specifically, we propose cognitive MAC protocols optimized for both slotted and un-slotted primary networks. For the slotted structure, the objective is to maximize the secondary throughput while maintaining synchronization between the secondary pair and not causing interference to the primary network. Our investigations differentiate between two sensing scenarios. In the first, the secondary transmitter is capable of sensing all the primary channels, whereas it senses only a subset of the primary channels in the second scenario. In both cases, we propose blind MAC protocols that efficiently learn the statistics of the primary traffic on-line and asymptotically achieve the throughput obtained when prior knowledge of primary traffic statistics is available. For the un-slotted structure, the object...

  20. Gross revenue risk in Swiss dairy farming.

    Science.gov (United States)

    El Benni, N; Finger, R

    2013-02-01

    This study investigated how agricultural policy reforms, including market liberalization and market deregulation, have influenced gross revenue risk of Swiss dairy producers using farm-level panel data between 1990 and 2009. Based on detrended data, variance decomposition was applied to assess how output prices and yields contributed to revenue risk over 3 different periods: the whole period (1990-2009), the first decade (1990-1999), and the second decade (1999-2009). In addition, the effect of expected changes in animal-based support for roughage-consuming cattle and price volatility on revenue risk was evaluated using a simulation model. Prices were the main contributor to revenue risk, even if the importance of yield risk increased over time. Swiss dairy producers can profit from natural hedge but market deregulation and market liberalization have reduced the natural hedge at the farm level. An increase in price volatility would substantially increase revenue risk and would, together with the abandonment of direct payments, reduce the comparative advantage of dairy production for risk-averse decision makers. Depending on other available risk management strategies, price risk management instruments might be a valuable solution for Swiss dairy producers in the future.

  1. The response of gross nitrogen mineralization to labile carbon inputs

    Science.gov (United States)

    Bengtson, Per

    2014-05-01

    Input of labile carbon sources to forest soils commonly result in priming, i.e. an increase in the microbial decomposition of soil organic matter. Efforts aimed at quantifying the extent of priming have, to date, largely focused on soil organic matter decomposition manifested as soil respiration. Less is known about how gross nitrogen mineralization responds to input of labile carbon. It is often assumed that increased priming results in decreased soil carbon stocks. However, microbial mineralization of organic nitrogen into plant available forms is a major factor limiting primary production in forests. If increased decomposition of soil organic matter in response to labile carbon is accompanied by a concurrent increased nitrogen mineralization, this could result in elevated primary production and higher rates of plant derived organic matter input to soils. Therefore, in order to fully understand the effect of priming on net ecosystem exchange and soil carbon stocks, it is vital to consider if increased decomposition of soil organic matter caused by priming also results in increased nitrogen mineralization. Here I present the results from a series of experiments aimed at determining if, and to which extent, gross nitrogen mineralization is stimulated by input of labile carbon. The results suggest that it is by no means uncommon to find an increase in gross N mineralization rates in response to labile carbon inputs. The magnitude of the increase seems dependent on the nitrogen status of the soil, as well as the concentration and rate of labile carbon inputs. However, continuous input of labile carbon sources that also contains nitrogen, e.g. amino acids, seems to inhibit rather than increase the mineralization of organic nitrogen. These findings suggest that there is a potential for a positive feedback between priming and primary production that needs to be considered in order to fully understand the influence of priming on net ecosystem exchange and soil carbon

  2. Modeling tissue contamination to improve molecular identification of the primary tumor site of metastases

    DEFF Research Database (Denmark)

    Vincent, Martin; Perell, Katharina; Nielsen, Finn Cilius;

    2014-01-01

    with any predictor model. The usability of the model is illustrated on primary tumor site identification of liver biopsies, specifically, on a human dataset consisting of microRNA expression measurements of primary tumor samples, benign liver samples and liver metastases. For a predictor trained on primary...

  3. Model evaluation of marine primary organic aerosol emission schemes

    Directory of Open Access Journals (Sweden)

    B. Gantt

    2012-09-01

    Full Text Available In this study, several marine primary organic aerosol (POA emission schemes have been evaluated using the GEOS-Chem chemical transport model in order to provide guidance for their implementation in air quality and climate models. These emission schemes, based on varying dependencies of chlorophyll a concentration ([chl a] and 10 m wind speed (U10, have large differences in their magnitude, spatial distribution, and seasonality. Model comparison with weekly and monthly mean values of the organic aerosol mass concentration at two coastal sites shows that the source function exclusively related to [chl a] does a better job replicating surface observations. Sensitivity simulations in which the negative U10 and positive [chl a] dependence of the organic mass fraction of sea spray aerosol are enhanced show improved prediction of the seasonality of the marine POA concentrations. A top-down estimate of submicron marine POA emissions based on the parameterization that compares best to the observed weekly and monthly mean values of marine organic aerosol surface concentrations has a global average emission rate of 6.3 Tg yr−1. Evaluation of existing marine POA source functions against a case study during which marine POA contributed the major fraction of submicron aerosol mass shows that none of the existing parameterizations are able to reproduce the hourly-averaged observations. Our calculations suggest that in order to capture episodic events and short-term variability in submicron marine POA concentration over the ocean, new source functions need to be developed that are grounded in the physical processes unique to the organic fraction of sea spray aerosol.

  4. Model evaluation of marine primary organic aerosol emission schemes

    Science.gov (United States)

    Gantt, B.; Johnson, M. S.; Meskhidze, N.; Sciare, J.; Ovadnevaite, J.; Ceburnis, D.; O'Dowd, C. D.

    2012-09-01

    In this study, several marine primary organic aerosol (POA) emission schemes have been evaluated using the GEOS-Chem chemical transport model in order to provide guidance for their implementation in air quality and climate models. These emission schemes, based on varying dependencies of chlorophyll a concentration ([chl a]) and 10 m wind speed (U10), have large differences in their magnitude, spatial distribution, and seasonality. Model comparison with weekly and monthly mean values of the organic aerosol mass concentration at two coastal sites shows that the source function exclusively related to [chl a] does a better job replicating surface observations. Sensitivity simulations in which the negative U10 and positive [chl a] dependence of the organic mass fraction of sea spray aerosol are enhanced show improved prediction of the seasonality of the marine POA concentrations. A top-down estimate of submicron marine POA emissions based on the parameterization that compares best to the observed weekly and monthly mean values of marine organic aerosol surface concentrations has a global average emission rate of 6.3 Tg yr-1. Evaluation of existing marine POA source functions against a case study during which marine POA contributed the major fraction of submicron aerosol mass shows that none of the existing parameterizations are able to reproduce the hourly-averaged observations. Our calculations suggest that in order to capture episodic events and short-term variability in submicron marine POA concentration over the ocean, new source functions need to be developed that are grounded in the physical processes unique to the organic fraction of sea spray aerosol.

  5. Reciprocal learning and chronic care model implementation in primary care: results from a new scale of learning in primary care

    Directory of Open Access Journals (Sweden)

    Noël Polly H

    2011-02-01

    Full Text Available Abstract Background Efforts to improve the care of patients with chronic disease in primary care settings have been mixed. Application of a complex adaptive systems framework suggests that this may be because implementation efforts often focus on education or decision support of individual providers, and not on the dynamic system as a whole. We believe that learning among clinic group members is a particularly important attribute of a primary care clinic that has not yet been well-studied in the health care literature, but may be related to the ability of primary care practices to improve the care they deliver. To better understand learning in primary care settings by developing a scale of learning in primary care clinics based on the literature related to learning across disciplines, and to examine the association between scale responses and chronic care model implementation as measured by the Assessment of Chronic Illness Care (ACIC scale. Methods Development of a scale of learning in primary care setting and administration of the learning and ACIC scales to primary care clinic members as part of the baseline assessment in the ABC Intervention Study. All clinic clinicians and staff in forty small primary care clinics in South Texas participated in the survey. Results We developed a twenty-two item learning scale, and identified a five-item subscale measuring the construct of reciprocal learning (Cronbach alpha 0.79. Reciprocal learning was significantly associated with ACIC total and sub-scale scores, even after adjustment for clustering effects. Conclusions Reciprocal learning appears to be an important attribute of learning in primary care clinics, and its presence relates to the degree of chronic care model implementation. Interventions to improve reciprocal learning among clinic members may lead to improved care of patients with chronic disease and may be relevant to improving overall clinic performance.

  6. The San Andreas fault experiment. [gross tectonic plates relative velocity

    Science.gov (United States)

    Smith, D. E.; Vonbun, F. O.

    1973-01-01

    A plan was developed during 1971 to determine gross tectonic plate motions along the San Andreas Fault System in California. Knowledge of the gross motion along the total fault system is an essential component in the construction of realistic deformation models of fault regions. Such mathematical models will be used in the future for studies which will eventually lead to prediction of major earthquakes. The main purpose of the experiment described is the determination of the relative velocity of the North American and the Pacific Plates. This motion being so extremely small, cannot be measured directly but can be deduced from distance measurements between points on opposite sites of the plate boundary taken over a number of years.

  7. Model study on Bohai ecosystem 1. Model description and primary productivity

    Institute of Scientific and Technical Information of China (English)

    LIU Hao; YIN Baoshu

    2006-01-01

    A Nutrient-Phytoplankton-Zooplankton(NPZD) type of ecological model is developed to reflect the biochemical process, and further coupled to a primitive equation ocean model, an irradiation model as well as a river discharge model to reproduce ecosystem dynamics in the Bohai Sea. Modeled primary production shows reasonable consistency with observations quantitatively and qualitatively; in addition, f-ratio is examined in detail in the first time, which is also within the range reported in other studies and reveals some meaningful insight into the relative contributions of ammonium and nitrate to the growth of phytoplankton in the Bohai Sea.

  8. High-degree Gravity Models from GRAIL Primary Mission Data

    Science.gov (United States)

    Lemoine, Frank G.; Goossens, Sander J.; Sabaka, Terence J.; Nicholas, Joseph B.; Mazarico, Erwan; Rowlands, David D.; Loomis, Bryant D.; Chinn, Douglas S.; Caprette, Douglas S.; Neumann, Gregory A.; Smith, David E.; Zuber, Maria T.

    2013-01-01

    We have analyzed Ka?band range rate (KBRR) and Deep Space Network (DSN) data from the Gravity Recovery and Interior Laboratory (GRAIL) primary mission (1 March to 29 May 2012) to derive gravity models of the Moon to degree 420, 540, and 660 in spherical harmonics. For these models, GRGM420A, GRGM540A, and GRGM660PRIM, a Kaula constraint was applied only beyond degree 330. Variance?component estimation (VCE) was used to adjust the a priori weights and obtain a calibrated error covariance. The global root?mean?square error in the gravity anomalies computed from the error covariance to 320×320 is 0.77 mGal, compared to 29.0 mGal with the pre?GRAIL model derived with the SELENE mission data, SGM150J, only to 140×140. The global correlations with the Lunar Orbiter Laser Altimeter?derived topography are larger than 0.985 between l = 120 and 330. The free?air gravity anomalies, especially over the lunar farside, display a dramatic increase in detail compared to the pre?GRAIL models (SGM150J and LP150Q) and, through degree 320, are free of the orbit?track?related artifacts present in the earlier models. For GRAIL, we obtain an a posteriori fit to the S?band DSN data of 0.13 mm/s. The a posteriori fits to the KBRR data range from 0.08 to 1.5 micrometers/s for GRGM420A and from 0.03 to 0.06 micrometers/s for GRGM660PRIM. Using the GRAIL data, we obtain solutions for the degree 2 Love numbers, k20=0.024615+/-0.0000914, k21=0.023915+/-0.0000132, and k22=0.024852+/-0.0000167, and a preliminary solution for the k30 Love number of k30=0.00734+/-0.0015, where the Love number error sigmas are those obtained with VCE.

  9. The central role of trunk control in the gross motor function of children with cerebral palsy

    DEFF Research Database (Denmark)

    Curtis, Derek John; Butler, Penny; Saavedra, Sandy;

    2015-01-01

    Aim Improvement of gross motor function and mobility are primary goals of physical therapy in children with cerebral palsy (CP). The purpose of this study was to investigate the relationship between segmental control of the trunk and the corresponding gross motor function in children with CP....... Method This retrospective cross-sectional study was based on 92 consecutive referrals of children with CP in Gross Motor Function Classification System (GMFCS) levels I to V, 39 females, 53 males (median age 4y [range 1–14y]), and 77, 12, and 3 with spastic, dyskinetic, and ataxic CP respectively....... The participants were tested using the Gross Motor Function Measure (GMFM), the Pediatric Evaluation of Disability Inventory (PEDI), and the Segmental Assessment of Trunk Control (SATCo). Results Linear regression analysis showed a positive relationship between the segmental level of trunk control and age...

  10. Concurrent Validity of Preschooler Gross Motor Quality Scale with Test of Gross Motor Development-2

    Science.gov (United States)

    Sun, Shih-Heng; Sun, Hsiao-Ling; Zhu, Yi-Ching; Huang, Li-chi; Hsieh, Yueh-Ling

    2011-01-01

    Preschooler Gross Motor Quality Scale (PGMQ) was recently developed to evaluate motor skill quality of preschoolers. The purpose of this study was to establish the concurrent validity of PGMQ using Test of Gross Motor Development-2 (TGMD-2) as the gold standard. One hundred and thirty five preschool children aged from three to six years were…

  11. BOREAS HYD-8 Gross Precipitation Data

    Science.gov (United States)

    Fernandes, Richard; Hall, Forrest G. (Editor); Knapp, David E. (Editor); Smith, David E. (Technical Monitor)

    2000-01-01

    The Boreal Ecosystem-Atmosphere Study (BOREAS) Hydrology (HYD)-08 team made measurements of surface hydrological processes at the Southern Study Area-Old Black Spruce (SSA-OBS) Tower Flux site to support its research into point hydrological processes and the spatial variation of these processes. Data collected may be useful in characterizing canopy interception, drip, throughfall, moss interception, drainage, evaporation, and capacity during the growing season at daily temporal resolution. This particular data set contains the gross precipitation measurements for July to August 1996. Gross precipitation is the precipitation that falls that is not intercepted by tree canopies. These data are stored in ASCII text files. The HYD-08 gross precipitation data are available from the Earth Observing System Data and Information System (EOSDIS) Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC). The data files are available on a CD-ROM (see document number 20010000884).

  12. 7 CFR 1424.7 - Gross payable units.

    Science.gov (United States)

    2010-01-01

    ...) Biodiesel producers will be eligible for payments on gross payable units for all biodiesel production from... rates. Unless otherwise determined by CCC, gross payable units for biodiesel production from eligible... biodiesel production gross payable units. (3) Adding the APP and BPP to determine biodiesel gross...

  13. The Gross conjecture over rational function fields

    Institute of Scientific and Technical Information of China (English)

    OUYANG; Yi

    2005-01-01

    We study the Gross conjecture for the cyclotomic function field extension k(∧f)/k where k = Fq(t) is the rational function field and f is a monic polynomial in Fq[t].We prove the conjecture in the Fermat curve case(i.e., when f = t(t - 1)) by a direct calculation. We also prove the case when f is irreducible, which is analogous to the Weil reciprocity law. In the general case, we manage to show the weak version of the Gross conjecture here.

  14. Model of affective assessment of primary school students

    Directory of Open Access Journals (Sweden)

    Amir Syamsudin

    2016-06-01

    Full Text Available This study aims to develop an instrument of affective assessment to measure the social competence of elementary school students in the learning process in schools. This study used the development model of Borg & Gall’s approach which was modified into five phases, including the need analyses, developing draft of the product conducted by experts, developing an affective assessment instrument, trying out the affective assessment instrument conducted by teachers of primary education in Yogyakarta, and the dissemination and implementation of the developed affective assessment instrument. The subjects were elementary school students whose school implemented Curriculum 2013 in the academic year of 2013/2014. The validity and reliability of each construct of the affective instrument were established using the PLS SEM Wrap PLS 3.0 analysis program. The study finds the following results. First, the construct of Honesty, Discipline, Responsibility, Decency, Care, and Self-Confidence in the limited, main, and extended testing has been supported by empirical data. Second, the validity of Honesty, Discipline, Responsibility, Decency, Care, and Self-Confidence in the limited, main, and extended testing meets the criteria above 0.70 for each indicator of the loading factor and the criteria below 0.50 for each indicator score of the cross-loading factor. Third, the reliability of Honesty, Discipline, Responsibility, Decency, Care, and Self-Confidence in limited, main, and extended testing meets the criteria above 0.70 for both composite reliability and Cronbach’s alpha scores. Fourth, the number of indicators at preresearch was 53, and 10 indicators were rejected in the limited testing, and four indicators were rejected in the main testing, and one indicator was rejected in the extended testing.

  15. An Analysis of the Co-integration and Causality Relationship between Electricity Consumption and Gross Domestic Product (GDP in the Developing Countries: An Empirical Study of Turkey

    Directory of Open Access Journals (Sweden)

    Ayhan Kapusuzoglu

    2010-07-01

    Full Text Available In this study, long term relationship and causality relationship between electricity consumption and gross domestic product in Turkey for the period 1975-2006 were investigated. As a result of the co-integration analysis made firstly in this study, the long term relationship between the electricity consumption and gross domestic product was found. According to the result of Granger causality analysis made in accordance with vector error correction model, it was determined that there was unidirectional causality relationship between electricity consumption and gross domestic product. According to the findings, it can be said that in the process of economic growth in Turkey, gross domestic product amount was an important variable which affected the electricity consumption positively in the long term and therefore it can be said that it is important to provide the primary energy sources used in electricity energy production and electricity energy in the long term and in time without any interaction for preventing the failures which may arise during the process of economic growth and for the stability of the economic production and consumption process

  16. Gross community production and metabolic balance in the South Pacific Gyre, using a non intrusive bio-optical method

    Directory of Open Access Journals (Sweden)

    H. Claustre

    2008-03-01

    Full Text Available The very clear waters of the South Pacific Gyre likely constitute an end-member of oligotrophic conditions which remain essentially unknown with respect to its impact on carbon fixation and exportation. We describe a non-intrusive bio-optical method to quantify the various terms of a production budget (Gross community production, community losses, net community production in this area. This method is based on the analysis of the diel cycle in Particulate Organic Carbon (POC, derived from high frequency measurements of the particle attenuation coefficient cp. We report very high integrated rates of Gross Community Production within the euphotic layer (average of 846±484 mg C m−2 d−1 for 17 stations that are far above any rates determined using incubation techniques for such areas. Furthermore we show that the daily production of POC is essentially balanced by the losses so that the system cannot be considered as net heterotrophic. Our results thus agree well with geochemical methods, but not with incubation studies based on oxygen methods. We stress to the important role of deep layers, below the euphotic layer, in contributing to carbon fixation when incident irradiance at the ocean surface is high (absence of cloud coverage. These deep layers, not considered up to know, might fuel part of the heterotrophic processes in the upper layer, including through dissolved organic carbon. We further demonstrate that, in these extremely clear and stratified waters, integrated gross community production is proportional to the POC content and surface irradiance via an efficiency index ψ GCP*, the water column cross section for Gross Community Production. We finally discuss our results in the context of the role of oligotrophic gyre in the global carbon budget and of the possibility of using optical proxies from space for the development of growth community rather than primary production

  17. A rabbit model of graded primary mechanical injury to brainstem

    Institute of Scientific and Technical Information of China (English)

    YU Yong-min; WANG Xiao-wei; XUE Hai-bin; XIA Peng; LI Hong-wei; DAI Guo-xin; JI Xiao-yuan; ZHAO Hui; YIN Zhi-yong

    2012-01-01

    Objective:To introduce a new animal model of graded mechanical primary brainstem injury (BSI).Methods:Altogether 45 rabbits were subjected to BSI by type Ⅱ biological impact machine designed by the Third Military Medical University.The animals were divided into 4 experimental groups (n=10) and 1 control group (n=5) according to different magnitudes of impact pressure imposed on the occipital nodule:Group 1,500-520 kPa; Group 2,520-540 kPa; Group 3,540-560 kPa; Group 4,560-580 kPa and Group 5,0 kPa with 20 kPa increase in each grade.The impact depth was a constant 0.5 cm.After injury,the clinical symptoms and signs as well as pathological changes were observed.Results:Rabbits in Group 1 revealed mild physiological reaction of BSI.They had localized cerebral contusion with punctate hemorrhage and subarachnoid hemorrhage (SAH) was limited to the peripheral tissues at the impact area.In Group 2,obvious physiological reaction was observed.Local pathological lesions reached the superficial layer ofbrainstem tissues; focal hemorrhage and girdleshaped SAH in basilar pon were observed under microscope.In Group 3,BSI was more severe with a long respiratory depression.Pathological lesions reached the inner portion of brainstem with massive hemorrhage and the whole brainstem was wrapped by subarachnoid hematoma.In Group 4,most rabbits died due to severe BSI.Pathological lesions deepened to the central brainstem with wide pathological change,rapture of the medulla oblongata central canal.Group 5 was the control group,with normal brainstem structure and no lesion observed.Conclusion:This model successfully simulates different levels ofbrainstem mechanical injury and clearly shows the subsequent pathological changes following injury.It takes two external parameters (impact pressure and depth) and has a similar injury mechanism to clinical accelerating BSI.Moreover it is reproducible and stable,thus being beneficial for exploring pathophysiological mechanism,diagnosis and

  18. The Implementation of Character Education Model Based on Empowerment Theatre for Primary School Students

    Science.gov (United States)

    Anggraini, Purwati; Kusniarti, Tuti

    2016-01-01

    This study aimed at constructing character education model implemented in primary school. The research method was qualitative with five samples in total, comprising primary schools in Malang city/regency and one school as a pilot model. The pilot model was instructed by theatre coach teacher, parents, and school society. The result showed that…

  19. Gross Revenue risk in Swiss dairy farming

    NARCIS (Netherlands)

    Benni, El N.; Finger, R.

    2013-01-01

    This study investigated how agricultural policy reforms, including market liberalization and market deregulation, have influenced gross revenue risk of Swiss dairy producers using farm-level panel data between 1990 and 2009. Based on detrended data, variance decomposition was applied to assess how o

  20. Gross Revenue risk in Swiss dairy farming

    NARCIS (Netherlands)

    Benni, El N.; Finger, R.

    2013-01-01

    This study investigated how agricultural policy reforms, including market liberalization and market deregulation, have influenced gross revenue risk of Swiss dairy producers using farm-level panel data between 1990 and 2009. Based on detrended data, variance decomposition was applied to assess how

  1. Changes of net primary productivity in China during recent 11 years detected using an ecological model driven by MODIS data

    Institute of Scientific and Technical Information of China (English)

    Yibo LIU; Weimin JU; Honglin HE; Shaoqiang WANG; Rui SUN; Yuandong ZHANG

    2013-01-01

    Net primary productivity (NPP) is an important component of the terrestrial carbon cycle.Accurately mapping the spatial-temporal variations of NPP in China is crucial for global carbon cycling study.In this study the process-based Boreal Ecosystem Productivity Simulator (BEPS) was employed to study the changes of NPP in China's ecosystems for the period from 2000 to 2010.The BEPS model was first validated using gross primary productivity (GPP) measured at typical flux sites and forest NPP measured at different regions.Then it was driven with leaf area index (LAI) inversed from the Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and land cover products and meteorological data interpolated from observations at753 national basic meteorological stations to simulate NPP at daily time steps and a spatial resolution of 500 m from January 1,2000 to December 31,2010.Validations show that BEPS is able to capture the seasonal variations of tower-based GPP and the spatial variability of forest NPP in different regions of China.Estimated national total of annual NPP varied from 2.63 to 2.84Pg C·yr-1,averaging 2.74Pg C.yr-1 during the study period.Simulated terrestrial NPP shows spatial patterns decreasing from the east to the west and from the south to the north,in association with land cover types and climate.South-west China makes the largest contribution to the national total of NPP while NPP in the North-west account for only 3.97%of the national total.During the recent 11 years,the temporal changes of NPP were heterogamous.NPP increased in 63.8% of China's landmass,mainly in areas north of the Yangtze River and decreased in most areas of southern China,owing to the low temperature freezing in early 2008 and the severe drought in late 2009.

  2. Changes of net primary productivity in China during recent 11 years detected using an ecological model driven by MODIS data

    Science.gov (United States)

    Liu, Yibo; Ju, Weimin; He, Honglin; Wang, Shaoqiang; Sun, Rui; Zhang, Yuandong

    2013-03-01

    Net primary productivity (NPP) is an important component of the terrestrial carbon cycle. Accurately mapping the spatial-temporal variations of NPP in China is crucial for global carbon cycling study. In this study the process-based Boreal Ecosystem Productivity Simulator (BEPS) was employed to study the changes of NPP in China's ecosystems for the period from 2000 to 2010. The BEPS model was first validated using gross primary productivity (GPP) measured at typical flux sites and forest NPP measured at different regions. Then it was driven with leaf area index (LAI) inversed from the Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and land cover products and meteorological data interpolated from observations at 753 national basic meteorological stations to simulate NPP at daily time steps and a spatial resolution of 500 m from January 1, 2000 to December 31, 2010. Validations show that BEPS is able to capture the seasonal variations of tower-based GPP and the spatial variability of forest NPP in different regions of China. Estimated national total of annual NPP varied from 2.63 to 2.84Pg C·yr-1, averaging 2.74 Pg C·yr-1 during the study period. Simulated terrestrial NPP shows spatial patterns decreasing from the east to the west and from the south to the north, in association with land cover types and climate. South-west China makes the largest contribution to the national total of NPP while NPP in the North-west account for only 3.97% of the national total. During the recent 11 years, the temporal changes of NPP were heterogamous. NPP increased in 63.8% of China's landmass, mainly in areas north of the Yangtze River and decreased in most areas of southern China, owing to the low temperature freezing in early 2008 and the severe drought in late 2009.

  3. Current usage and future trends in gross digital photography in Canada.

    Science.gov (United States)

    Horn, Christopher L; DeKoning, Lawrence; Klonowski, Paul; Naugler, Christopher

    2014-01-14

    The purpose of this study was to assess the current usage, utilization and future direction of digital photography of gross surgical specimens in pathology laboratories across Canada. An online survey consisting of 23 multiple choice and free-text questions regarding gross digital photography was sent out to via email to laboratory staff across Canada involved in gross dissection of surgical specimens. Sixty surveys were returned with representation from most of the provinces. Results showed that gross digital photography is utilized at most institutions (90.0%) and the primary users of the technology are Pathologists (88.0%), Pathologists' Assistants (54.0%) and Pathology residents (50.0%). Most respondents felt that there is a definite need for routine digital imaging of gross surgical specimens in their practice (80.0%). The top two applications for gross digital photography are for documentation of interesting/ complex cases (98.0%) and for teaching purposes (84.0%). The main limitations identified by the survey group are storage space (42.5%) and security issues (40.0%). Respondents indicated that future applications of gross digital photography mostly include teaching (96.6%), presentation at tumour boards/ clinical rounds (89.8%), medico-legal documentation (72.9%) and usage for consultation purposes (69.5%). The results of this survey indicate that pathology staff across Canada currently utilizes gross digital images for regular documentation and educational reasons. They also show that the technology will be needed for future applications in teaching, consultation and medico-legal purposes.

  4. Gross Premium Actuarial Models Include Inflation and Surrender Situation%考虑通货膨胀和退保情形的总保费精算模型

    Institute of Scientific and Technical Information of China (English)

    贺明田; 王传玉; 安琪

    2011-01-01

    为使寿险公司能根据实际情况及时合理地调整保费价格,在改进的传统总保费精算方法的基础上,给出了在随机利率模型和随机死亡率模型上定价净保费的方法,同时在考虑通货膨胀和退保情形的前提下尽可能地把寿险公司所涉及的费用都作独立的随机变量纳入寿险总保费的计算中,并给出了计算总保费的公式.数值算例表明了该法的可行性.%In order to enable the life insurance company to act in accordance with to the actual situation prompt reasonable adjustment insurance premium price,based on the improved traditional gross premium calculation method foundation,the article presents a method of net premium pricing under mortality and interest rates,both of which are stochastic,in gross premium calculation,inflation and surrender factors are considered as independent random variables.This paper gives a formula to calculate the gross premium.

  5. ISMS: A New Model for Improving Student Motivation and Self-Esteem in Primary Education

    Science.gov (United States)

    Ghilay, Yaron; Ghilay, Ruth

    2015-01-01

    In this study we introduce a new model for primary education called ISMS: Improving Student Motivation and Self-esteem. Following a two-year study undertaken in a primary school (n = 67), the new model was found to be successful. Students who participated in the research, reported that a course based on ISMS principles was very helpful for…

  6. Model of Learning Organizational Development of Primary School Network under the Office of Basic Education Commission

    Science.gov (United States)

    Sai-rat, Wipa; Tesaputa, Kowat; Sriampai, Anan

    2015-01-01

    The objectives of this study were 1) to study the current state of and problems with the Learning Organization of the Primary School Network, 2) to develop a Learning Organization Model for the Primary School Network, and 3) to study the findings of analyses conducted using the developed Learning Organization Model to determine how to develop the…

  7. Activity level of gross α and gross β in airborne aerosol samples around the Qinshan NPP

    Institute of Scientific and Technical Information of China (English)

    CHEN Bin; YE Jida; CHEN Qianyuan; WU Xiaofei; SONG Weili; WANG Hongfeng

    2007-01-01

    The monitoring results of gross α and gross β activity from 2001 to 2005 for environmental airborne aerosol samples around the Qinshan NPP base are presented in this paper. A total of 170 aerosol samples were collected from monitoring sites of Caichenmen village, Qinlian village, Xiajiawan village and Yangliucun village around the Qinshan NPP base. The measured specific activity of gross α and gross β are in the range of 0.02 ~ 0.38 mBq/m3 and 0.10 ~ 1.81 mBq/m3, respectively, with an average of 0.11 mBq/m3 and 0.45mBq/m3, respectively. They are lower than the average of 0.15 mBq/m3 and 0.52mBq/m3, of reference site at Hangzhou City. It is indicated that the specific activity of gross α and gross β for environmental aerosol samples around the Qinshan NPP base had not been increased in normal operating conditions of the NPP.

  8. Perceptions of a Primary Nursing Care Model in a Pediatric Hematology/Oncology Unit.

    Science.gov (United States)

    Nadeau, Katie; Pinner, Kerri; Murphy, Katie; Belderson, Kristin M

    2016-02-22

    The primary nursing care model optimizes relationship-based care. Despite using a primary nursing model on a pediatric hematology/oncology inpatient unit, it was hypothesized patients and nurses were dissatisfied with the structure of primary care teams and inconsistency of primary assignments. The purpose of this study was to evaluate patient/family and nurse perceptions of our current care model through assessing gaps in its operationalization and satisfaction. This study used a descriptive cross-sectional design featuring patient/family and nurse surveys. Of the 59 patient/family respondents, 93.2% prefer to have a primary nurse care for them and 85% are satisfied with how often they are assigned a primary care team member. Similarly, 63% of the 57 nurse respondents are satisfied with the current implementation of our primary nursing model and 61% state the model reflects good continuity of care. Yet 80.7% of nurses believe safety would improve for a patient whose nurse works shifts consecutively even if not a primary nurse. Overall, patients, families, and nurses value care continuity and meaningful nurse-patient relationships, which is fundamental to primary nursing.

  9. Comparison of modeling approaches for carbon partitioning: Impact on estimates of global net primary production and equilibrium biomass of woody vegetation from MODIS GPP

    Science.gov (United States)

    Takeshi Ise; Creighton M. Litton; Christian P. Giardina; Akihiko Ito

    2010-01-01

    Partitioning of gross primary production (GPP) to aboveground versus belowground, to growth versus respiration, and to short versus long�]lived tissues exerts a strong influence on ecosystem structure and function, with potentially large implications for the global carbon budget. A recent meta-analysis of forest ecosystems suggests that carbon partitioning...

  10. Labor Absorption and Its Impact on Gross Regional Domestic Product

    OpenAIRE

    Made Ika Prastyadewi; Agus Suman; Devanto Shasta Pratomo

    2013-01-01

    The objective of this study is to examine the determinants of labor absorption in the trade, hotel and restaurant sector and its impact on Gross Regional Domestic Product/GRDP at Bali Province. This study is important due to the fact that the GRDP in this sector is the highest compared to other sector but the labor absorption is lower than the agriculture sector. This study used panel data comprising 9 regencies/cities at Bali Province in the period 2003-2009 including fixed effect model and ...

  11. Characterizing the development of sectoral gross domestic product composition.

    Science.gov (United States)

    Lutz, Raphael; Spies, Michael; Reusser, Dominik E; Kropp, Jürgen P; Rybski, Diego

    2013-07-01

    We consider the sectoral composition of a country's gross domestic product (GDP), i.e., the partitioning into agrarian, industrial, and service sectors. Exploring a simple system of differential equations, we characterize the transfer of GDP shares between the sectors in the course of economic development. The model fits for the majority of countries providing four country-specific parameters. Relating the agrarian with the industrial sector, a data collapse over all countries and all years supports the applicability of our approach. Depending on the parameter ranges, country development exhibits different transfer properties. Most countries follow three of eight characteristic paths. The types are not random but show distinct geographic and development patterns.

  12. AN EVALUATION MODEL FOR PRIMARY VISUAL ARTS LESSON

    Directory of Open Access Journals (Sweden)

    Yüksel GÖĞEBAKAN

    2012-06-01

    Full Text Available This study was done to determine the evaluation criteria to be used in a clay tablet production activity in visual arts lesson. In the study, the gains within the learning domains of museum awareness and formation in visual arts as specified in primary visual arts lesson curriculum were associated with the common gains specified within Science, Technology and Society learning domain. The study was conducted on 64 students selected randomly from among the 7th graders in Atatürk Primary School in Malatya province. As a part of the study, a trip to the Malatya Archeology Museum was arranged as required by the lesson plan prepared in line with the common gains of both lessons. Several activities were performed during this trip. One of the activities was a genuine tablet production activity based on a tablet in the museum. The main purpose of the present study is to decide what criteria to use to evaluate the tablets produced by the students in the visual arts lesson.

  13. Assessment of the effects of greywater reuse on gross solids movement in sewer systems.

    Science.gov (United States)

    Penn, R; Schütze, M; Friedler, E

    2014-01-01

    Onsite greywater reuse (GWR) and installation of water-efficient toilets (WETs) reduce urban freshwater demand and thus enhance urban water use sustainability. Research on GWR and WETs has generally overlooked their potential effects on municipal sewer systems: GWR and WETs affect the flow regime in sewers, and consequently also influence gross solids transport. To asses these impacts, a gross solids transport model was developed. The model is based on approaches found in the literature. Hydrodynamic calculations of sewage flow were performed using the SIMBA6 simulator and then used for the gross solid movement models. Flow characteristics in the up- and downstream sections of the sewer network differ. Therefore different approaches were used to model solids movement in each of these two parts. Each model determines whether a solid moves as a result of a momentary sewage flow, and if it moves, calculation of its velocity is possible. The paper shows the adoption and implementation of two gross solids transport models using SIMBA6 and depicts the results of the effects of various GWR and WET scenarios on gross solids movement in sewers for a real case study in Israel.

  14. The Gross Motor Skills of Children with Mild Learning Disabilities

    Science.gov (United States)

    Nonis, Karen P.; Jernice, Tan Sing Yee

    2014-01-01

    Many international studies have examined the gross motor skills of children studying in special schools while local studies of such nature are limited. This study investigated the gross motor skills of children with Mild Learning Disabilities (MLD; n = 14, M age = 8.93 years, SD = 0.33) with the Test of Gross Motor Development-2 (TGMD-2, Ulrich,…

  15. 7 CFR 1410.44 - Average adjusted gross income.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Average adjusted gross income. 1410.44 Section 1410... Average adjusted gross income. (a) Benefits under this part will not be available to persons or legal entities whose average adjusted gross income exceeds $1,000,000 or as further specified in part...

  16. 7 CFR 701.17 - Average adjusted gross income limitation.

    Science.gov (United States)

    2010-01-01

    ... 9003), each applicant must meet the provisions of the Adjusted Gross Income Limitations at 7 CFR part... 7 Agriculture 7 2010-01-01 2010-01-01 false Average adjusted gross income limitation. 701.17... RELATED PROGRAMS PREVIOUSLY ADMINISTERED UNDER THIS PART § 701.17 Average adjusted gross income...

  17. Primary skin fibroblasts as a model of Parkinson's disease

    NARCIS (Netherlands)

    Auburger, G.; Klinkenberg, M.; Droste, J.A.H.; Marcus, K.; Morales-Gordo, B.; Kunz, W.S.; Brandt, U.; Broccoli, V.; Reichmann, H.; Gispert, S.; Jendrach, M.

    2012-01-01

    Parkinson's disease is the second most frequent neurodegenerative disorder. While most cases occur sporadic mutations in a growing number of genes including Parkin (PARK2) and PINK1 (PARK6) have been associated with the disease. Different animal models and cell models like patient skin fibroblasts

  18. A Primary Prevention Program: Teaching Models I and II.

    Science.gov (United States)

    Harlan, Nancy T; Tschiderer, Patricia A.

    Two teaching models of a service delivery program designed to prevent speech-language problems in lower socioeconomic children were compared. Specific goals included increasing mothers' awareness of the sensory input to which infants are responsive and increasing mothers' abilities to read infant nonverbal signals. In Model 1, two speech-language…

  19. Primary skin fibroblasts as a model of Parkinson's disease

    NARCIS (Netherlands)

    Auburger, G.; Klinkenberg, M.; Droste, J.A.H.; Marcus, K.; Morales-Gordo, B.; Kunz, W.S.; Brandt, U.; Broccoli, V.; Reichmann, H.; Gispert, S.; Jendrach, M.

    2012-01-01

    Parkinson's disease is the second most frequent neurodegenerative disorder. While most cases occur sporadic mutations in a growing number of genes including Parkin (PARK2) and PINK1 (PARK6) have been associated with the disease. Different animal models and cell models like patient skin fibroblasts a

  20. Gross-beta activity in ground water: natural sources and artifacts of sampling and laboratory analysis

    Science.gov (United States)

    Welch, Alan H.

    1995-01-01

    Gross-beta activity has been used as an indicator of beta-emitting isotopes in water since at least the early 1950s. Originally designed for detection of radioactive releases from nuclear facilities and weapons tests, analysis of gross-beta activity is widely used in studies of naturally occurring radioactivity in ground water. Analyses of about 800 samples from 5 ground-water regions of the United States provide a basis for evaluating the utility of this measurement. The data suggest that measured gross-beta activities are due to (1) long-lived radionuclides in ground water, and (2) ingrowth of beta-emitting radionuclides during holding times between collection of samples and laboratory measurements.Although40K and228Ra appear to be the primary sources of beta activity in ground water, the sum of40K plus228Ra appears to be less than the measured gross-beta activity in most ground-water samples. The difference between the contribution from these radionuclides and gross-beta activity is most pronounced in ground water with gross-beta activities > 10 pCi/L, where these 2 radionuclides account for less than one-half the measured ross-beta activity. One exception is groundwater from the Coastal Plain of New Jersey, where40K plus228Ra generally contribute most of the gross-beta activity. In contrast,40K and228Ra generally contribute most of beta activity in ground water with gross-beta activities measure all beta activity in ground water. Although3H contributes beta activity to some ground water, it is driven from the sample before counting and therefore is not detected by gross-beta measurements. Beta-emitting radionuclides with half-lives shorter than a few days can decay to low values between sampling and counting. Although little is known about concentrations of most short-lived beta-emitting radionuclides in environmental ground water (water unaffected by direct releases from nuclear facilities and weapons tests), their activities are expected to be low.Ingrowth of

  1. Primary Establishment of EWE Model in Caohai Nature Reserve

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    According to environmental data,Ecopath with Ecosim (EWE) model can quantitatively describe the energy flow in the production and consumption of function components of system by using trophodynamics,and accurately assess the biomass and stable state of aquatic ecosystem.In the paper,the basic principle and parameters of EWE model were introduced firstly,and the relationship between Q/B (the important parameter of EWE model) and basic life indices of fish was discussed,then the current study and typical r...

  2. Monitoring of spatiotemporal patterns of Net and Gross Primary Productivity (NPP & GPP) and their ratios (NPP/GPP) derived from MODIS data: assessment natural drivers and their effects on NDVI anomalies in arid and semi-arid zones of Central Asia.

    Science.gov (United States)

    Aralova, Dildora; Jarihani, Ben; Khujanazarov, Timur; Toderich, Kristina; Gafurov, Dilshod; Gismatulina, Liliya

    2017-04-01

    Previous studies have shown that precipitation anomalies and raising of temperature trends were deteriorate affected on large-scale of vegetation surveys in Central Asia (CA). Nowadays, remote sensing techniques can provide estimation of Net and Gross Primary Productivity (NPP & GPP) for regional and global scales, and selected zones in CA (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan) dominated by C4 plants (biomes) what it reveals more accurately simulate C4 carbon. The estimation of NPP & GPP from source (MOD17A2/A3) would be beneficial to determine natural driver factors, whether on rangeland ecosystem is a carbon sink or source, such as a vast area of the selected zones incorporates exacerbate regional drought-risk factors nowadays. Generally, we have combined last available NPP & GPP (2000-2015) with 1 km resolution from MODIS, with investigation of long-term vegetation patterns under Normalized Difference Vegetation Indices (NDVI) with 8 km resolution from AVHRR-GIMMS 3g sources (2001-2015) within aim to estimate potential values of rangeland ecosystems. Interaction ratios of NPP/GPP are integrating more accurately describe carbon sink process under natural or anthropogenic factors, specifically last results of NDVI trends were described as decreasing trends due to climate anomalies, besides the eastern and northern parts of CA (mostly boreal forest zones) where accumulated or indicated of raising trends of NDVI in last three years (2012-2015). Results revealed that, in CA were averaged annually value NDVI ranges from 0.19-0.21; (Kyrgyzstan: 0.23-0.26; Kazakhstan: 0.21-0.24; Tajikistan: 0.19-0.21); and resting countries as low NDVI accumulated areas were Turkmenistan and Uzbekistan ranges 0.13-0.16; Comparing datasets of GPP given the response dynamic change structures of NDVI values and explicit carbon uptake (CO2) in arid ecosystems and average GPPyearlyin CA ranges 2.42 kg C/m2; including to Tajikistan, Uzbekistan (3.09 kg C/m2) and

  3. Modeling of Carbon Sequestration on Eucalyptus Plantation in Brazililian Cerrado Region for Better Characterization of Net Primary Productivity

    Science.gov (United States)

    Echeverri, J. D.; Siqueira, M. B.

    2013-05-01

    Managed Forests have important roles in climate change due to their contribution to CO2 sequestration stored in their biomass, soils and products therefrom. Terrestrial net primary production (NPP, kgC/m2), equal to gross primary production minus autotrophic respiration, represents the carbon available for plant allocation to leaves, stems, roots, defensive compounds, and reproduction and is the basic measure of biological productivity. Tree growth, food production, fossil fuel production, and atmospheric CO2 levels are all strongly controlled by NPP. Accurate quantification of NPP at local to global scales is therefore central topic for carbon cycle researchers, foresters, land and resource managers, and politicians. For recent or current NPP estimates, satellite remote sensing can be used but for future climate scenarios, simulation models are required. There is an increasing trend to displace natural Brazilian Cerrado to Eucalyptus for paper mills and energy conversion from biomass. The objective of this research exercise is to characterize NPP from managed Eucalyptus plantation in the Brazilian Cerrado. The models selected for this study were the 3-PG and Biome-BGC. The selection of these models aims to cover a range of complexity that allow the evaluation of the processes modeled as to its relevance to a best estimate of productivity in eucalyptus forests. 3-PG model is the simplest of the models chosen for this exercise. Its main purpose is to estimate productivity of forests in timber production. The model uses the relationship of quantum efficiency in the transformation of light energy into biomass for vegetative growth calculations in steps in time of one month. Adverse weather conditions are treated with reduction factors applied in the top efficiency. The second model is the Biome-BGC that uses biology and geochemistry principles to estimate leaf-level photosynthesis based on limiting factors such as availability of light and nutrient constraints. The

  4. Development of affective modelling competencies in primary school learners

    Directory of Open Access Journals (Sweden)

    Piera Biccard

    2011-10-01

    Full Text Available Learner affect and beliefs about mathematics are complex and multifaceted aspects of mathematical learning. Traditional teaching and learning approaches in mathematics education often result in problematic beliefs about mathematics. Since beliefs influence what learners learn and how they deal with learning mathematics, it is essential that the roles of beliefs and affect in mathematics classrooms are carefully examined. In solving modelling problems, learners and teachers take on new roles in the classroom: learners are placed in an active, self-directing situation in which they solve real-world problems. When learners engage in modelling tasks, they display and integrate cognitive, meta-cognitive and affective competencies. A modelling approach therefore allows one to detect learner beliefs in an authentic learning environment. Will this environment lead to students having more positive and productive dispositions towards mathematics? This article presents partial results of a study documenting the development of modelling competencies in learners working in groups over a period of 12 weeks. Through a design research approach, 12 learners working in groups solved three modelling problems, and transcriptions of learner interactions, questionnaires and informal interviews revealed that learner beliefs improved over this short period when exposed to modelling tasks. The results are encouraging, and may provide mathematics education with an avenue to develop more positive learner beliefs in mathematics.

  5. Gross changes in reconstructions of historic land cover/use for Europe between 1900 and 2010.

    Science.gov (United States)

    Fuchs, Richard; Herold, Martin; Verburg, Peter H; Clevers, Jan G P W; Eberle, Jonas

    2015-01-01

    Historic land-cover/use change is important for studies on climate change, soil carbon, and biodiversity assessments. Available reconstructions focus on the net area difference between two time steps (net changes) instead of accounting for all area gains and losses (gross changes). This leads to a serious underestimation of land-cover/use dynamics with impacts on the biogeochemical and environmental assessments based on these reconstructions. In this study, we quantified to what extent land-cover/use reconstructions underestimate land-cover/use changes in Europe for the 1900-2010 period by accounting for net changes only. We empirically analyzed available historic land-change data, quantified their uncertainty, corrected for spatial-temporal effects and identified underlying processes causing differences between gross and net changes. Gross changes varied for different land classes (largest for forest and grassland) and led to two to four times the amount of net changes. We applied the empirical results of gross change quantities in a spatially explicit reconstruction of historic land change to reconstruct gross changes for the EU27 plus Switzerland at 1 km spatial resolution between 1950 and 2010. In addition, the reconstruction was extended back to 1900 to explore the effects of accounting for gross changes on longer time scales. We created a land-change reconstruction that only accounted for net changes for comparison. Our two model outputs were compared with five commonly used global reconstructions for the same period and area. In our reconstruction, gross changes led in total to a 56% area change (ca. 0.5% yr(-1)) between 1900 and 2010 and cover twice the area of net changes. All global reconstructions used for comparison estimated fewer changes than our gross change reconstruction. Main land-change processes were cropland/grassland dynamics and afforestation, and also deforestation and urbanization. © 2014 John Wiley & Sons Ltd.

  6. Primary continuous unilateral headaches: a nosologic model for hemicrania continua.

    Science.gov (United States)

    Pareja, Juan A; Cuadrado, María-Luz; Fernández-de-las-Peñas, César; Montojo, Teresa; Álvarez, Mónica; López-de-Silanes, Carlos

    2012-04-01

    Hemicrania continua was originally described as a strictly unilateral, continuous headache with an absolute response to indomethacin. Recognition of an increasing number of patients with the same clinical features except for a lack of response to indomethacin has generated controversy about whether the responsive/non-responsive phenotypes belong to the same disorder. We suggest that the non-responsive phenotype should be differentiated from the original concept of hemicrania continua, because it probably indicates a separate type of headache of undetermined nature, i.e. hemicrania incerta. However, differentiating hemicrania incerta from hemicrania continua does not imply that the two headaches are unrelated. Both hemicranias may outline a continuum, giving rise to a broader diagnostic field. There seems to be a syndrome of 'primary continuous unilateral headache' with at least two distinctive categories: hemicrania continua and hemicrania incerta, which are differentiated by their respective response to indomethacin. This division means plurality but adds precision, and allows a clear-cut diagnosis of some controversial cases.

  7. Disruptive Models in Primary Care: Caring for High-Needs, High-Cost Populations

    National Research Council Canada - National Science Library

    Hochman, Michael; Asch, Steven M

    2017-01-01

    ...; and coordinated care when it must be sought elsewhere.” As this series on reinventing primary care highlights, there is a compelling need for new care delivery models that would advance these objectives...

  8. A Sexual Assault Primary Prevention Model with Diverse Urban Youth

    Science.gov (United States)

    Smothers, Melissa Kraemer; Smothers, D. Brian

    2011-01-01

    In this study, a nonprofit community mental health clinic developed a socioecological model of sexual abuse prevention that was implemented in a public school. The goal of the program was to promote and create community change within individuals and the school community by reducing tolerance of sexual violence and sexual harassment. Participants…

  9. Distribution, pharmacokinetics and primary metabolism model of tramadol in zebrafish.

    Science.gov (United States)

    Zhuo, Huiqin; Jin, Hongwei; Peng, Huifang; Huang, Heqing

    2016-12-01

    The current study aimed to develop a rapid, robust and adequately sensitive method for simultaneous determination of the concentration of tramadol and its active metabolites in zebrafish. The pharmacokinetic and elimination pattern of tramadol and its major phase I metabolites following oral or intramuscular administration in zebrafish tissues was achieved using electrospray ionization‑quadrupole‑time of flight/mass spectrometry (ESI‑Q‑TOF/MS) and gas chromatography/mass spectrometry (GC‑MS). Following administration, the metabolisms were detected in the brain, eyes, muscle and gill tissues within 1 h. Two tramadol metabolites, O‑ and N‑desmethyltramadol, were detected in brain tissue, with N‑desmethyltramadol detected at a higher level. Following GC‑MS detection the curve indicated an initial rapid phase, corresponding to the detection of the tramadol within 1 min, and reached peak value in the brain at 5 min. Faster drug clearance was detected in low‑dose groups, and concentration had dropped around the to initial level (1.11 µg) at 20 min, but was detectable for up to 3 h. However, it took 80 min to fall back to the initial value (1.73 µg) in the high‑dose groups, and tramadol was detectable for up to 4 h. This study developed and validated a simple and high throughput analytical procedure to determine the distribution and pharmacokinetic profiles of tramadol, and its primary metabolites in tissues of zebrafish.

  10. The primary demand for beer in the Netherlands; an application of ARMAX model specification

    NARCIS (Netherlands)

    Ph.H.B.F. Franses (Philip Hans)

    1991-01-01

    textabstractThe central issue in the application of econometric and time series analysis (ETS) to market response models is the model-building process. The author proposes a specification strategy for ETS modeling and applies it to the primary demand for beer in The Netherlands.

  11. The primary demand for beer in the Netherlands; an application of ARMAX model specification

    NARCIS (Netherlands)

    Ph.H.B.F. Franses (Philip Hans)

    1991-01-01

    textabstractThe central issue in the application of econometric and time series analysis (ETS) to market response models is the model-building process. The author proposes a specification strategy for ETS modeling and applies it to the primary demand for beer in The Netherlands.

  12. Development of affective modelling competencies in primary school learners

    OpenAIRE

    2011-01-01

    Learner affect and beliefs about mathematics are complex and multifaceted aspects of mathematical learning. Traditional teaching and learning approaches in mathematics education often result in problematic beliefs about mathematics. Since beliefs influence what learners learn and how they deal with learning mathematics, it is essential that the roles of beliefs and affect in mathematics classrooms are carefully examined. In solving modelling problems, learners and teachers take on new roles i...

  13. Simulation of primary static recrystallization with cellular operator model

    OpenAIRE

    Mukhopadhyay, Prantik

    2005-01-01

    1. Based on the modified cellular automata approach of Reher [60] a cellular operator model has been developed that is capable of accounting for spatial and temporal inhomogeneity on a finer scale. For this a scalable subgrid automaton is introduced that allows for a high spatial resolution on demand and still high computational efficiency. The scalable subgrid permits to track the minute changes of growth front during recrystallization owing to local variations of boundary mobility and net d...

  14. GROSS CAPITAL FORMATION AND ECONOMIC GROWTH DURING EARLY 2000’S IN EU-MEMBER AND CANDIDATES STATES

    Directory of Open Access Journals (Sweden)

    Florin-Marius PAVELESCU

    2008-06-01

    Full Text Available The purpose of this paper is to reveal the correlation between the gross capital formation and the gross domestic product in countries of the European Union in 2007, during the period 1999-2006. The evaluation is made both on demand side and on supply side. On the demand side we take into account the gross capital formation dynamics and structure and the gross domestic product dynamics. On the supply side calculate the capital accumulation efficiency, through modification of the formulae resulted from Domar’s economic growth model in order to emphasise the impact of domestic demand and net export changes. In the end we present some conclusions and proposals for gross capital formation contribution to economic growth methodology improvement.

  15. [Characteristics of terrestrial ecosystem primary productivity in East Asia based on remote sensing and process-based model].

    Science.gov (United States)

    Zhang, Fang-Min; Ju, Wei-Min; Chen, Jing-Ming; Wang, Shao-Qiang; Yu, Gui-Rui; Han, Shi-Jie

    2012-02-01

    Based on the bi-linearly interpolated meteorological reanalysis data from National Centers for Environmental Prediction, USA and by using the leaf area index data derived from the GIMMS NDVI to run the process-based Boreal Ecosystems Productivity Simulator (BEPS) model, this paper simulated and analyzed the spatiotemporal characteristics of the terrestrial ecosystem gross primary productivity (GPP) and net primary productivity (NPP) in East Asia in 2000-2005. Before regional simulating and calculating, the observation GPP data of different terrestrial ecosystem in 15 experimental stations of AsiaFlux network and the inventory measurements of NPP at 1300 sampling sites were applied to validate the BEPS GPP and NPP. The results showed that BEPS could well simulate the changes in GPP and NPP of different terrestrial ecosystems, with the R2 ranging from 0.86 to 0.99 and the root mean square error (RMSE) from 0.2 to 1.2 g C x m(-2) x d(-1). The simulated values by BEPS could explain 78% of the changes in annual NPP, and the RMSE was 118 g C x m(-2) x a(-1). In 2000-2005, the averaged total GPP and total NPP of the terrestrial ecosystems in East Asia were 21.7 and 10.5 Pg C x a(-1), respectively, and the GPP and NPP exhibited similar spatial and temporal variation patterns. During the six years, the total NPP of the terrestrial ecosystems varied from 10.2 to 10.7 Pg C x a(-1), with a coefficient of variation being 2. 2%. High NPP (above 1000 g C x m(-2) x a(-1)) occurred in the southeast island countries, while low NPP (below 30 g C x m(-2) x a(-1)) occurred in the desert area of Northwest China. The spatial patterns of NPP were mainly attributed to the differences in the climatic variables across East Asia. The NPP per capita also varied greatly among different countries, which was the highest (70217 kg C x a(-1)) in Mongolia, far higher than that (1921 kg C x a(-1)) in China, and the lowest (757 kg C x a(-1)) in India.

  16. Modelling the structural controls of primary kaolinite formation

    Science.gov (United States)

    Tierney, R. L.; Glass, H. J.

    2016-09-01

    An abundance of kaolinite was formed within the St. Austell outcrop of the Cornubian batholith in Cornwall, southwest England, by the hydrous dissolution of feldspar crystals. The permeability of Cornish granites is low and alteration acts pervasively from discontinuity features, with montmorillonite recognised as an intermediate assemblage in partially kaolinised material. Structural features allowed fluids to channel through the impermeable granite and pervade deep into the rock. Areas of high structural control are hypothesised to link well with areas of advanced alteration. As kaolinisation results in a loss of competence, we present a method of utilising discontinuity orientations from nearby unaltered granites alongside the local tectonic history to calculate strain rates and delineate a discrete fracture network. Simulation of the discrete fracture network is demonstrated through a case study at Higher Moor, where kaolinite is actively extracted from a pit. Reconciliation of fracture connectivity and permeability against measured subsurface data show that higher values of modelled properties match with advanced kaolinisation observed in the field. This suggests that the technique may be applicable across various industries and disciplines.

  17. Labor Absorption and Its Impact on Gross Regional Domestic Product

    Directory of Open Access Journals (Sweden)

    Made Ika Prastyadewi

    2013-12-01

    Full Text Available The objective of this study is to examine the determinants of labor absorption in the trade, hotel and restaurant sector and its impact on Gross Regional Domestic Product/GRDP at Bali Province. This study is important due to the fact that the GRDP in this sector is the highest compared to other sector but the labor absorption is lower than the agriculture sector. This study used panel data comprising 9 regencies/cities at Bali Province in the period 2003-2009 including fixed effect model and simultaneous equation model of Two-Stage Least Square. The results showed that GRDP, working age population, and the minimum wage have positive effect on employment, while the educated unemployment has no significant effect on the employment in the trade, hotel and restaurant sector. In addition, increases in employment and workers productivity have positive and significant effects the GRDP in the trade, hotel and restaurant sector at Bali Province.

  18. [Gross anatomy dissection and the legal control].

    Science.gov (United States)

    Yamashina, Shohei; Shibata, Yosaburo

    2010-12-01

    In Japan, dissection of human body is generally prohibited by the Penal Code, i.e. the criminal law. However, the Postmortem Examination and Corpse Preservation Act allows for the dissection of the body in very limited situations, that include gross anatomy dissection and pathological and forensic autopsy in medical and dental schools. Growing numbers of co-medical schools have been founded more recently in Japan, and not a small number of co-medical schools try to adopt human body dissection in the course of anatomy education. The present short communication reminds us of the ways of thinking of the Postmortem Examination and Corpse Preservation Act and the Act on Body Donation for Medical and Dental Education in order that anatomy education in medical as well as co-medical schools takes place under the regulation by these two laws.

  19. A constitutive model for elastoplastic solids containing primary and secondary voids

    Science.gov (United States)

    Fabrègue, D.; Pardoen, T.

    In many ductile metallic alloys, the damage process controlled by the growth and coalescence of primary voids nucleated on particles with a size varying typically between 1 and 100 μm, is affected by the growth of much smaller secondary voids nucleated on inclusions with a size varying typically between 0.1 and 3 μm. The goal of this work is first to quantify the potential effect of the growth of these secondary voids on the coalescence of primary voids using finite element (FE) unit cell calculations and second to formulate a new constitutive model incorporating this effect. The nucleation and growth of secondary voids do essentially not affect the growth of the primary voids but mainly accelerate the void coalescence process. The drop of the ductility caused by the presence of secondary voids increases if the nucleation strain decreases and/or if their volume fraction increases and/or if the primary voids are flat. A strong coupling is indeed observed between the shape of the primary voids and the growth of the second population enhancing the anisotropy of the ductility induced by void shape effects. The new micromechanics-based coalescence condition for internal necking introduces the softening induced by secondary voids growing in the ligament between two primary voids. The FE cell calculations were used to guide and assess the development of this model. The use of the coalescence condition relies on a closed-form model for estimating the evolution of the secondary voids in the vicinity of a primary cavity. This coalescence criterion is connected to an extended Gurson model for the first population including the effect of the void aspect ratio. With respect to classical models for single void population, this new constitutive model improves the predictive potential of damage constitutive models devoted to ductile metal while requiring only two new parameters, i.e. the initial porosity of second population and a void nucleation stress, without any additional

  20. EFFECT OF SENSORY INTEGRATION THERAPY ON GROSS MOTOR FUNCTION IN CHILDREN WITH CEREBRAL PALSY

    Directory of Open Access Journals (Sweden)

    A.R. Shamsoddini

    2009-04-01

    Full Text Available ObjectiveThe primary problem in children with cerebral palsy (CP, frequently referred for occupational therapy, is gross motor dysfunction. The current study was designed to investigate the effects of sensory integration therapy (SIT on gross motor skills in CP patients.Materials & MethodsTwenty-four children with diplegic spastic CP were randomly divided into two groups: First group (n=14,6 girls, 8 boys, age range 2 to 6 years, mean age 3.9 years; the second or control group (n=10, 5 girls, 5 boys, age range 2 to 6 years, mean age 3.4 years. SIT training was given to the first group and only the home program was given for the second group. All children were evaluated with gross motor function measurement (GMFM 88 for rolling, sitting, crawling, standing and walking position before and after intervention. Treatment duration for both groups was 1 hour, 5 days per week for a period of 12 weeks.ResultsGross motor function in children of the case group improved significantly better that in the control group, after intervention in sitting (P=0.02, crawling (P=0.001 and standing (P=0.03 positions; however no significant difference was seen in rolling (P=0.65 and walking (P=0.69 ability assessment.ConclusionThis study showed the beneficial effects of the SIT training program for children with CP; the SIT intervention had a significantly positive effect on gross motor function in the children with diplegic spastic CP. Moreover the results of the present study showed that sensory integration and vestibular stimulation were effective in children with cerebral palsy.Keywords:Cerebral palsy, Children, Gross motor, Occupational therapy, Sensory integration

  1. Designing Excellence and Quality Model for Training Centers of Primary Health Care: A Delphi Method Study

    Directory of Open Access Journals (Sweden)

    Jafar-Sadegh TABRIZI

    2015-10-01

    Full Text Available Background: Excellence and quality models are comprehensive methods for improving the quality of healthcare. The aim of this study was to design excellence and quality model for training centers of primary health care using Delphi method. Methods: In this study, Delphi method was used. First, comprehensive information were collected using literature review. In extracted references, 39 models were identified from 34 countries and related sub-criteria and standards were extracted from 34 models (from primary 39 models. Then primary pattern including 8 criteria, 55 sub-criteria, and 236 standards was developed as a Delphi questionnaire and evaluated in four stages by 9 specialists of health care system in Tabriz and 50 specialists from all around the country.Results: Designed primary model (8 criteria, 55 sub-criteria, and 236 standards were concluded with 8 criteria, 45 sub-criteria, and 192 standards after 4 stages of evaluations by specialists. Major criteria of the model are leadership, strategic and operational planning, resource management, information analysis, human resources management, process management, costumer results, and functional results, where the top score was assigned as 1000 by specialists. Functional results had the maximum score of 195 whereas planning had the minimum score of 60. Furthermore the most and the least sub-criteria was for leadership with 10 sub-criteria and strategic planning with 3 sub-criteria, respectively. Conclusion: The model that introduced in this research has been designed following 34 reference models of the world. This model could provide a proper frame for managers of health system in improving quality. Keywords: Quality model, Excellence model, Training centers, Primary cares, Iran

  2. Do new and traditional models of primary care differ with regard to access?

    Science.gov (United States)

    Miedema, Baukje; Easley, Julie; Thompson, Ashley E.; Boivin, Antoine; Aubrey-Bassler, Kris; Katz, Alan; Hogg, William E.; Breton, Mylaine; Francoeur, Danièle; Wong, Sabrina T.; Wodchis, Walter P.

    2016-01-01

    Abstract Objective To examine access to primary care in new and traditional models using 2 dimensions of the concept of patient-centred access. Design An international survey examining the quality and costs of primary health care (the QUALICOPC study) was conducted in 2013 in Canada. This study adopted a descriptive cross-sectional survey method using data from practices across Canada. Each participating practice filled out the Family Physician Survey and the Practice Survey, and patients in each participating practice were asked to complete the Patient Experiences Survey. Setting All 10 Canadian provinces. Participants A total of 759 practices and 7172 patients. Main outcome measures Independent t tests were conducted to examine differences between new and traditional models of care in terms of availability and accommodation, and affordability of care. Results Of the 759 practices, 407 were identified as having new models of care and 352 were identified as traditional. New models of care were distinct with respect to payment structure, opening hours, and having an interdisciplinary work force. Most participating practices were from large cities or suburban areas. There were few differences between new and traditional models of care regarding accessibility and accommodation in primary care. Patients under new models of care reported easier access to other physicians in the same practice, while patients from traditional models reported seeing their regular family physicians more frequently. There was no difference between the new and traditional models of care with regard to affordability of primary care. Patients attending clinics with new models of care reported that their physicians were more involved with them as a whole person than patients attending clinics based on traditional models did. Conclusion Primary care access issues do not differ strongly between traditional and new models of care; however, patients in the new models of care believed that their

  3. Robust Principal Component Test in Gross Error Detection and Identification

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Principle component analysis (PCA) based chi-square test is more sensitive to subtle gross errors and has greater power to correctly detect gross errors than classical chi-square test. However, classical principal component test (PCT) is non-robust and can be very sensitive to one or more outliers. In this paper, a Huber function liked robust weight factor was added in the collective chi-square test to eliminate the influence of gross errors on the PCT. Meanwhile, robust chi-square test was applied to modified simultaneous estimation of gross error (MSEGE) strategy to detect and identify multiple gross errors. Simulation results show that the proposed robust test can reduce the possibility of type Ⅱ errors effectively. Adding robust chi-square test into MSEGE does not obviously improve the power of multiple gross error identification, the proposed approach considers the influence of outliers on hypothesis statistic test and is more reasonable.

  4. Medicaid Managed Care Model of Primary Care and Health Care Management for Individuals with Developmental Disabilities

    Science.gov (United States)

    Kastner, Theodore A.; Walsh, Kevin K.

    2006-01-01

    Lack of sufficient accessible community-based health care services for individuals with developmental disabilities has led to disparities in health outcomes and an overreliance on expensive models of care delivered in hospitals and other safety net or state-subsidized providers. A functioning community-based primary health care model, with an…

  5. Needs Assessment for INSET for Unqualified Primary Teachers in Namibia: An Effective Model.

    Science.gov (United States)

    O'Sullivan, Margo C.

    2000-01-01

    Explores the process of needs assessment within the In-Service Education and Training (INSET) program for unqualified primary teachers in Namibia and presents the various stages of an effective needs assessment model. Summarizes the study from which the model emerged and reviews literature related to needs assessment for INSET. (CMK)

  6. Relation between hand function and gross motor function in full term infants aged 4 to 8 months

    Science.gov (United States)

    Nogueira, Solange F.; Figueiredo, Elyonara M.; Gonçalves, Rejane V.; Mancini, Marisa C.

    2015-01-01

    Background: In children, reaching emerges around four months of age, which is followed by rapid changes in hand function and concomitant changes in gross motor function, including the acquisition of independent sitting. Although there is a close functional relationship between these domains, to date they have been investigated separately. Objective: To investigate the longitudinal profile of changes and the relationship between the development of hand function (i.e. reaching for and manipulating an object) and gross motor function in 13 normally developing children born at term who were evaluated every 15 days from 4 to 8 months of age. Method: The number of reaches and the period (i.e. time) of manipulation to an object were extracted from video synchronized with the Qualisys(r) movement analysis system. Gross motor function was measured using the Alberta Infant Motor Scale. ANOVA for repeated measures was used to test the effect of age on the number of reaches, the time of manipulation and gross motor function. Hierarchical regression models were used to test the associations of reaching and manipulation with gross motor function. Results: Results revealed a significant increase in the number of reaches (p<0.001), the time of manipulation (p<0.001) and gross motor function (p<0.001) over time, as well as associations between reaching and gross motor function (R2=0.84; p<0.001) and manipulation and gross motor function (R2=0.13; p=0.02) from 4 to 6 months of age. Associations from 6 to 8 months of age were not significant. Conclusion: The relationship between hand function and gross motor function was not constant, and the age span from 4 to 6 months was a critical period of interdependency of hand function and gross motor function development. PMID:25714437

  7. Effect of temperate climate tree species on gross ammonification, gross nitrification and N2O formation

    Science.gov (United States)

    Brüggemann, N.; Rosenkranz, P.; Papen, H.; Butterbach-Bahl, K.

    2003-04-01

    Microbial nitrogen turnover processes in the soil, like ammonification, nitrification and denitrification, play an important role in the formation of nitrous oxide (N2O): (i) ammonification, because it releases nitrogen from organic material in the form of ammonium (NH4+), which in turn can serve as substrate for nitrification; (ii) nitrification itself (i.e. the turnover of NH4+ to nitrate, NO3-), during which nitric oxide (NO) and N2O can be released as by-products at varying ratios; (iii) denitrification, in which NO3- serves as electron acceptor and is converted to molecular nitrogen (N2) via NO and N2O as intermediates, that can also be partially lost to the atmosphere. Temperate forest soils are a substantial source of atmospheric N2O contributing up to 10% to the total atmospheric N2O budget. However, this figure is afflicted with a huge uncertainty due to a number of factors governing the soil N2O formation, consumption, release and uptake, which are not fully understood at present. To one of these factors belongs the influence of the tree species on nitrogen turnover processes in the soil and the formation of N trace gases related with them. The aim of the present work was to analyse this tree species effect for the temperate climate region. For this purpose the effect of five different temperate tree species, having the same age and growing on the same soil in direct vicinity to each other, on gross ammonification and gross nitrification as well as on N2O formation was investigated. The trees (common beech, Fagus sylvatica; pedunculate oak, Quercus robur; Norway spruce, Picea abies; Japanese larch, Larix leptolepis; mountain pine, Pinus mugo) were part of a species trial in Western Jutland, Denmark, established in 1965 on a former sandy heathland. Samples from the soil under these five tree species were taken in spring and in summer 2002, respectively, differentiating between organic layer and mineral soil. The gross rates of ammonification as well of

  8. Primary Productivity in Meduxnekeag River, Maine, 2005

    Science.gov (United States)

    Goldstein, Robert M.; Schalk, Charles W.; Kempf, Joshua P.

    2009-01-01

    During August and September 2005, dissolved oxygen, temperature, pH, specific conductance, streamflow, and light intensity (LI) were determined continuously at six sites defining five reaches on Meduxnekeag River above and below Houlton, Maine. These data were collected as input for a dual-station whole-stream metabolism model to evaluate primary productivity in the river above and below Houlton. The river receives nutrients and organic matter from tributaries and the Houlton wastewater treatment plant (WWTP). Model output estimated gross and net primary productivity for each reach. Gross primary productivity (GPP) varied in each reach but was similar and positive among the reaches. GPP was correlated to LI in the four reaches above the WWTP but not in the reach below. Net primary productivity (NPP) decreased in each successive downstream reach and was negative in the lowest two reaches. NPP was weakly related to LI in the upper two reaches and either not correlated or negatively correlated in the lower three reaches. Relations among GPP, NPP, and LI indicate that the system is heterotrophic in the downstream reaches. The almost linear decrease in NPP (the increase in metabolism and respiration) indicates a cumulative effect of inputs of nutrients and organic matter from tributaries that drain agricultural land, the town of Houlton, and the discharges from the WWTP.

  9. Evaluation of the contributions of four components of gross domestic product in various regions in China.

    Directory of Open Access Journals (Sweden)

    Sanmang Wu

    Full Text Available Four major components influence the growth of the gross domestic product in Chinese provinces: consumption, investment, transnational exports, and inter-provincial exports. By splitting a competitive input-output table into a non-competitive input-output table, this study used an input-output model to measure the contributions of the four components of gross domestic product in various regions in China. We found that international exports drove the growth of the gross domestic product more strongly in the eastern region than in other regions. Investment and inter-provincial exports were the major impetus for gross domestic product growth in the central and western regions. We also found that consumption played a minimal role in driving the growth of the gross domestic product in all regions in China. According to these findings, although various regions can share much in terms of policies to transform the impetus for economic growth, there should be different foci for different regions. Their shared policy is to increase the role of final consumption in stimulating economic growth. Region-specific policies mandate that the eastern region should strengthen the driving force provided by international exports and that the central and western regions should strengthen indigenous growth capabilities by improving scientific innovation, industrial support, and institutional innovation.

  10. Gross Motor Function Measure Evolution Ratio: Use as a Control for Natural Progression in Cerebral Palsy.

    Science.gov (United States)

    Marois, Pierre; Marois, Mikael; Pouliot-Laforte, Annie; Vanasse, Michel; Lambert, Jean; Ballaz, Laurent

    2016-05-01

    To develop a new way to interpret Gross Motor Function Measure (GMFM-66) score improvement in studies conducted without control groups in children with cerebral palsy (CP). The curves, which describe the pattern of motor development according to the children's Gross Motor Function Classification System level, were used as historical control to define the GMFM-66 expected natural evolution in children with CP. These curves have been modeled and generalized to fit the curve to particular children characteristics. Research center. Not applicable. Not applicable. Not applicable. Assuming that the GMFM-66 score evolution followed the shape of the Rosenbaum curves, by taking into account the age and GMFM-66 score of children, the expected natural evolution of the GMFM-66 score was predicted for any group of children with CP who were Motor Function Measure Evolution Ratio, was defined as follows: Gross Motor Function Measure Evolution Ratio=measured GMFM-66 score change/expected natural evolution. For practical or ethical reasons, it is almost impossible to use control groups in studies evaluating effectiveness of many therapeutic modalities. The Gross Motor Function Measure Evolution Ratio gives the opportunity to take into account the expected natural evolution of the gross motor function of children with CP, which is essential to accurately interpret the therapy effect on the GMFM-66. Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

  11. ISMS: A New Model for Improving Student Motivation and Self-esteem in Primary Education

    Directory of Open Access Journals (Sweden)

    Yaron GHILAY

    2015-06-01

    Full Text Available In this study we introduce a new model for primary education called ISMS: Improving Student Motivation and Self-esteem. Following a two-year study undertaken in a primary school (n=67, the new model was found to be successful. Students who participated in the research, reported that a course based on ISMS principles was very helpful for strengthening their perceived ability and their motivation to make an effort. They became more enthusiastic, responsible, self-confident, optimistic and determined to succeed. The meaning of such findings is that it is possible to improve key variables having vital influence on student learning and academic performance. The ISMS model was found to be applicable to primary education, in particular, but it may be suitable to secondary schools as well.

  12. TERATOGENIC EFFECTS OF SILVER NANOPARTICLES: GROSS ANOMALIES

    Directory of Open Access Journals (Sweden)

    Jyoti Prakash

    2015-07-01

    Full Text Available BACK GROUND: Prenatal exposure of AgNPs can induces devastative and detrimental effect in the organogenesis period of the developing embryos and foetuses. Organogenesis period is highly condemnatory and persuadable. Any injury to embryo during this period leads to dysmorphogenesis or even death AIM: The present study means to evaluate the gross anomalies on developing f o etus subsequent to silver nanoparticle ingestion during the gestational period. MATERIAL & METHOD: Random selections of pregnant Swiss albino mice were selected. AgNPs, of 20 - 100 nm size ra nge, were administered to pregnant mice by repeated oral gavages at concentra tions of 0.5, 1, 5, 10, 15 & 20 mg/kg/day during 4 - 17 gestational day. All dams were subjected to exteriorization on GD 18. The fetuses were evaluated for body malformation effects . RESULTS: Repeated oral gavages treatment with AgNPs at a concentration of 0.5mg/kg/day caused resorption (4.61% and intra uterine growth retardation (7.69% with no gross morphology alteration. 1 mg/kg/day caused resorption (9.23% and intra uterine growth retardation (10.76% with a rare case of haemorrhagic conception (1.53%, 5mg/kg/day caused limb malformation (7.01% resorption (17.54% and intra uterine growth retardation (17.54%, closed type Neural tube deformity (5.26%, 10mg/kg/day caused 20 % of limb malformation including Amelia, foot and tail vein hemorrhages and simple tail vein haemorrhage (3.50% each, resorption (22.80%, intra uterine growth retardation (29.82%, 15mg/kg/day caused severe hemorrhage within the entire body (22.80%, lim b anomaly including syndactyly and oligodactyly (8.77%, resorption (42.10%, intra uterine growth retardation (45.61%, 20mg/kg/day caused Omphalocele (3.27%, Bidiscoidal placental anomaly (9.83%, resorption (29.50% and intra uterine growth retardation (62.29%. CONCLUSION: The results show that a repeated oral dose of AgNPs during pregnancy caused fetal body dysmorphogenesis which is dose

  13. Ecosystem model intercomparison of under-ice and total primary production in the Arctic Ocean

    OpenAIRE

    Jin, Meibing; Popova, Ekaterina E.; Zhang, Jinlun; Ji, Rubao; Pendleton, Daniel; Varpe, Øystein; Yool, Andrew; Lee, Younjoo J.

    2016-01-01

    Previous observational studies have found increasing primary production (PP) in response to declining sea ice cover in the Arctic Ocean. In this study, under-ice PP was assessed based on three coupled ice-ocean-ecosystem models participating in the Forum for Arctic Modeling and Observational Synthesis (FAMOS) project. All models showed good agreement with under-ice measurements of surface chlorophyll-a concentration and vertically integrated PP rates during the main under-ice production perio...

  14. Gross N transformation rates after application of household compost or domestic sewage sludge to agricultural soil

    DEFF Research Database (Denmark)

    Ambus, P.; Kure, L.K.; Jensen, E.S.

    2002-01-01

    Gross N mineralization and immobilization was examined in soil amended with compost and sewage sludge on seven occasions during a year using N-15 pool dilution and enrichment techniques. Gross N mineralization was initially stimulated with both wastes and accelerated through the first 112 days...... of incubation, peaking at 5 mg N.kg(-1).d(-1) with compost compared with 4 mg N.kg(-1).d(-1) in control and sludge-treated soil. The magnitudes of mineralization rates exceeded those of immobilization by on average 6.3 ( compost) and 11.4 ( sludge) times, leading to a persistent net N mineralization cumulating...... up to 160 mg N.kg(-1) soil(compost) and 54 mg N.kg(-1) soil (sludge) over the season from May to November. The numerical model FLUAZ comprehensively predicted rates of gross mineralization and immobilization. Sludge exhibited an early season N-release, whereas compost released only 10% of the N...

  15. Financial Variables Effect on the U.S. Gross Private Domestic Investment (GPDI) 1959-2001

    CERN Document Server

    Bell, Byron E

    2007-01-01

    I studied what role the US stock markets and money markets have possibly played in the Gross Private Domestic Investment (GPDI) of the United States from the year 1959 to the year 2001, Gross Private Domestic Investment refers to the total amount of investment spending by businesses and firms located within the borders of a nation. It includes both the values of the purchases of non-residential fixed investment, which include capital goods used for production, and the values of the purchases of residential fixed investment, which include construction spending for factories or offices. And I created a Multiple Linear Regression Model of the GDPI. To see if companies and private citizens use the stock market and money markets as a way of financing capital projects (business ventures, buying commercial and noncommercial property, etc). Keywords: Gross Private Domestic Investment, Pearson Correlation, SP 500, TB3

  16. Validation of Satellite Derived Primary Production Models in the Northeast Atlantic

    Science.gov (United States)

    Lobanova, P. V.; Bashmachnikov, I. L.; Brotas, V.

    2016-08-01

    With all the variety of models used for calculation of primary production of phytoplankton (PP) from remote sensing data, a choice of the most realistic one for a particular ocean region remains a non-trivial issue. In this work, we estimate PP in the Northeast Atlantic Ocean (200 - 510 N and 100 - 400 W) from 1998 to 2005 using three frequently used models: VGPM (Vertically Generalized Production Model), PSM (Platt and Sathyendranath Model) and Aph-PP model (Absorption Based Model). The modeled results are then compared with in situ observations of PP. The results show a close similarity in PP patterns obtained by different models, but the absolute modeled values differ substantially. In the Northeast Atlantic, PSM is found reproducing better the observed seasonal and spatial variability of PP as compared to the two other models. However, PSM slightly underestimates the PP values.

  17. MicroRNA signature characterizes primary tumors that metastasize in an esophageal adenocarcinoma rat model.

    Science.gov (United States)

    Zaidi, Ali H; Saldin, Lindsey T; Kelly, Lori A; Bergal, Linda; Londono, Ricardo; Kosovec, Juliann E; Komatsu, Yoshihiro; Kasi, Pashtoon M; Shetty, Amit A; Keane, Timothy J; Thakkar, Shyam J; Huleihel, Luai; Landreneau, Rodney J; Badylak, Stephen F; Jobe, Blair A

    2015-01-01

    To establish a miRNA signature for metastasis in an animal model of esophageal adenocarcinoma (EAC). The incidence of esophageal adenocarcinoma (EAC) has dramatically increased and esophageal cancer is now the sixth leading cause of cancer deaths worldwide. Mortality rates remain high among patients with advanced stage disease and esophagectomy is associated with high complication rates. Hence, early identification of potentially metastatic disease would better guide treatment strategies. The modified Levrat's surgery was performed to induce EAC in Sprague-Dawley rats. Primary EAC and distant metastatic sites were confirmed via histology and immunofluorescence. miRNA profiling was performed on primary tumors with or without metastasis. A unique subset of miRNAs expressed in primary tumors and metastases was identified with Ingenuity Pathway Analysis (IPA) along with upstream and downstream targets. miRNA-linked gene expression analysis was performed on a secondary cohort of metastasis positive (n=5) and metastasis negative (n=28) primary tumors. The epithelial origin of distant metastasis was established by IF using villin (VIL1) and mucin 5AC (MUC5AC) antibodies. miRNome analysis identified four down-regulated miRNAs in metastasis positive primary tumors compared to metastasis negative tumors: miR-92a-3p (p=0.0001), miR-141-3p (p=0.0022), miR-451-1a (p=0.0181) and miR133a-3p (p=0.0304). Six target genes identified in the top scoring networks by IPA were validated as significantly, differentially expressed in metastasis positive primary tumors: Ago2, Akt1, Kras, Bcl2L11, CDKN1B and Zeb2. In vivo metastasis was confirmed in the modified Levrat's model. Analysis of the primary tumor identified a distinctive miRNA signature for primary tumors that metastasized.

  18. MicroRNA signature characterizes primary tumors that metastasize in an esophageal adenocarcinoma rat model.

    Directory of Open Access Journals (Sweden)

    Ali H Zaidi

    Full Text Available To establish a miRNA signature for metastasis in an animal model of esophageal adenocarcinoma (EAC.The incidence of esophageal adenocarcinoma (EAC has dramatically increased and esophageal cancer is now the sixth leading cause of cancer deaths worldwide. Mortality rates remain high among patients with advanced stage disease and esophagectomy is associated with high complication rates. Hence, early identification of potentially metastatic disease would better guide treatment strategies.The modified Levrat's surgery was performed to induce EAC in Sprague-Dawley rats. Primary EAC and distant metastatic sites were confirmed via histology and immunofluorescence. miRNA profiling was performed on primary tumors with or without metastasis. A unique subset of miRNAs expressed in primary tumors and metastases was identified with Ingenuity Pathway Analysis (IPA along with upstream and downstream targets. miRNA-linked gene expression analysis was performed on a secondary cohort of metastasis positive (n=5 and metastasis negative (n=28 primary tumors.The epithelial origin of distant metastasis was established by IF using villin (VIL1 and mucin 5AC (MUC5AC antibodies. miRNome analysis identified four down-regulated miRNAs in metastasis positive primary tumors compared to metastasis negative tumors: miR-92a-3p (p=0.0001, miR-141-3p (p=0.0022, miR-451-1a (p=0.0181 and miR133a-3p (p=0.0304. Six target genes identified in the top scoring networks by IPA were validated as significantly, differentially expressed in metastasis positive primary tumors: Ago2, Akt1, Kras, Bcl2L11, CDKN1B and Zeb2.In vivo metastasis was confirmed in the modified Levrat's model. Analysis of the primary tumor identified a distinctive miRNA signature for primary tumors that metastasized.

  19. Data and simulation modeling to determine the estimated number of primary care beds in Oklahoma.

    Science.gov (United States)

    Pulat, P S; Foote, B L; Kasap, S; Splinter, G L; Lucas, M K

    1999-05-01

    Growth in managed care has resulted in an increased need for studies in health care planning. The article focuses on the estimated number of primary care beds needed in the state to provide quality services to all Oklahoma residents. Based on the 1996 population estimations for Oklahoma and its distribution to the 77 counties, a space-filling approach is used to determine 46 service areas, each of which will provide primary care service to its area population. Service areas are constructed such that residents of an area are within an acceptable distance to a primary care provider in the area. A simulation model is developed to determine the number of primary care beds needed in each service area. Statistical analysis on actual hospital data is used to determine the distributions of inpatient flow and length of stay. The simulation model is validated for acute care hospitals before application to the service areas. Sensitivity analysis on model input parameter values is performed to determine their effect on primary care bed calculations. The effect of age distribution on the bed requirement is also studied. The results of this study will assist the Oklahoma Health Care Authority in the development of sound health care policy decisions.

  20. Influence of Implant Surface Topography on Primary Stability in a Standardized Osteoporosis Rabbit Model Study

    Directory of Open Access Journals (Sweden)

    Hiroshi Oue

    2015-03-01

    Full Text Available Evaluating primary stability is important to predict the prognosis of dental implant treatment. Primary stability is decreased in a low bone density site such as osteoporosis. However, it is difficult to apply in small animal and the effect of the different implant surface topography for the primary stability at low bone density site has not yet fully been investigated. The purpose of the present study was to evaluate the influence of implant surface topography on primary stability in a standardized osteoporosis animal model. Six rabbits underwent ovariectomy and administrated glucocorticoid to induce an osteoporosis model. Sham-operations were performed in additional six rabbits. Implants with machined or oxidized-surfaces were inserted into the femur epiphyses and insertion torque (IT and implant stability quotient (ISQ were measured. In sham model, the IT and ISQ did not differ significantly between the both implant. However, the IT value of oxidized-surface implant was significantly higher than that of the machined implant in the osteoporosis model. Meanwhile, ISQ did not significantly differ between the machined and oxidized-surfaced implants. In conclusion, the IT of implants is higher with rough than with smooth surfaces but that there are no differences in ISQ value between different surfaces in a standardized osteoporosis bone reduced rabbit model.

  1. Medical Student Preferences for Self-Directed Study Resources in Gross Anatomy

    Science.gov (United States)

    Choi-Lundberg, Derek L.; Low, Tze Feng; Patman, Phillip; Turner, Paul; Sinha, Sankar N.

    2016-01-01

    Gross anatomy instruction in medical curricula involve a range of resources and activities including dissection, prosected specimens, anatomical models, radiological images, surface anatomy, textbooks, atlases, and computer-assisted learning (CAL). These resources and activities are underpinned by the expectation that students will actively engage…

  2. Remarks on the Blow-Up Solutions for the Critical Gross-Pitaevskii Equation

    Directory of Open Access Journals (Sweden)

    Xiaoguang Li

    2013-01-01

    Full Text Available This paper is concerned with the blow-up solutions of the critical Gross-Pitaevskii equation, which models the Bose-Einstein condensate. The existence and qualitative properties of the minimal blow-up solutions are obtained.

  3. Spatial patterns for the three species Gross-Pitaevskii system in the plane

    Directory of Open Access Journals (Sweden)

    Marco Squassina

    2008-05-01

    Full Text Available In this paper we highlight some particular spatial patterns of ground state solutions for the three species Gross-Pitaevskii system in the plane having physical coefficients with particular attention to the cases where the inter-species coefficients become large. The solutions models least energy stationary states of a mixture of three Bose-Einstein condensates.

  4. Guidelines for Standard Photography in Gross and Clinical Anatomy

    Science.gov (United States)

    Barut, Cagatay; Ertilav, Hakan

    2011-01-01

    Photography has a widespread usage in medicine and anatomy. In this review, authors focused on the usage of photography in gross and clinical anatomy. Photography in gross and clinical anatomy is not only essential for accurate documentation of morphological findings but also important in sharing knowledge and experience. Photographs of cadavers…

  5. 26 CFR 1.61-4 - Gross income of farmers.

    Science.gov (United States)

    2010-04-01

    ... Gross income of farmers. (a) Farmers using the cash method of accounting. A farmer using the cash receipts and disbursements method of accounting shall include in his gross income for the taxable year— (1) The amount of cash and the value of merchandise or other property received during the taxable...

  6. Guidelines for Standard Photography in Gross and Clinical Anatomy

    Science.gov (United States)

    Barut, Cagatay; Ertilav, Hakan

    2011-01-01

    Photography has a widespread usage in medicine and anatomy. In this review, authors focused on the usage of photography in gross and clinical anatomy. Photography in gross and clinical anatomy is not only essential for accurate documentation of morphological findings but also important in sharing knowledge and experience. Photographs of cadavers…

  7. Psychiatric Symptoms in Children with Gross Motor Problems

    Science.gov (United States)

    Emck, Claudia; Bosscher, Ruud J.; van Wieringen, Piet C. W.; Doreleijers, Theo; Beek, Peter J.

    2012-01-01

    Children with psychiatric disorders often demonstrate gross motor problems. This study investigates if the reverse also holds true by assessing psychiatric symptoms present in children with gross motor problems. Emotional, behavioral, and autism spectrum disorders (ASD), as well as psychosocial problems, were assessed in a sample of 40 children…

  8. The Gross Anatomy Course: An Analysis of Its Importance

    Science.gov (United States)

    Bockers, Anja; Jerg-Bretzke, Lucia; Lamp, Christoph; Brinkmann, Anke; Traue, Harald C.; Bockers, Tobias M.

    2010-01-01

    The gross anatomy dissection course is a cost-intensive piece of undergraduate medical education that students and professionals alike describe as very important within the overall medical curriculum. We sought to understand more explicitly students' valuation of gross anatomy as an "important" course and so developed a quantitative…

  9. Foreign Languages in Vienna Primary Schools – in Mainstream Education and in Current Experimental Models

    Directory of Open Access Journals (Sweden)

    Renate Seebauer

    2015-05-01

    Full Text Available Starting with a short retrospective and an overview of the incorporation of foreign language learning into the Austrian curriculum for primary schools the paper in hand describes the current situation of foreign language teaching in primary schools as well as various current models of foreign language education in primary schools in Vienna (school year 1 to 4. In terms of objectives these models exceed the requirements of the curriculum of the formal education system or regard themselves as quantitative and qualitative enrichment. They follow different didactic approaches and/or site-specific characteristics and needs. The formulation of basic skills is to be understood as an attempt to find a common basis of output indicators and to facilitate the transition to secondary education. Although English is the most commonly chosen resp. offered language the paper also refers to school experiments that focus on Romance or Slavic languages or on languages of Austra’s neighbouring countries.

  10. Behavioural health consultants in integrated primary care teams: a model for future care.

    Science.gov (United States)

    Dale, Hannah; Lee, Alyssa

    2016-07-29

    Significant challenges exist within primary care services in the United Kingdom (UK). These include meeting current demand, financial pressures, an aging population and an increase in multi-morbidity. Psychological services also struggle to meet waiting time targets and to ensure increased access to psychological therapies. Innovative ways of delivering effective primary care and psychological services are needed to improve health outcomes. In this article we argue that integrated care models that incorporate behavioural health care are part of the solution, which has seldom been argued in relation to UK primary care. Integrated care involves structural and systemic changes to the delivery of services, including the co-location of multi-disciplinary primary care teams. Evidence from models of integrated primary care in the United States of America (USA) and other higher-income countries suggest that embedding continuity of care and collaborative practice within integrated care teams can be effective in improving health outcomes. The Behavioural Health Consultant (BHC) role is integral to this, working psychologically to support the team to improve collaborative working, and supporting patients to make changes to improve their health across management of long-term conditions, prevention and mental wellbeing. Patients' needs for higher-intensity interventions to enable changes in behaviour and self-management are, therefore, more fully met within primary care. The role also increases accessibility of psychological services, delivers earlier interventions and reduces stigma, since psychological staff are seen as part of the core primary care service. Although the UK has trialled a range of approaches to integrated care, these fall short of the highest level of integration. A single short pilot of integrated care in the UK showed positive results. Larger pilots with robust evaluation, as well as research trials are required. There are clearly challenges in adopting

  11. Measures of Model Uncertainty in the Assessment of Primary Stresses in Ship Structures

    DEFF Research Database (Denmark)

    Östergaard, Carsten; Dogliani, Mario; Guedes Soares, Carlos;

    1996-01-01

    The paper considers various models and methods commonly used for linear elastic stress analysis and assesses the uncertainty involved in their application to the analysis of the distribution of primary stresses in the hull of a containership example, through statistical evaluations of the results...

  12. Primary biliary cirrhosis : Dutch application of the Mayo model before and after orthotopic liver transplantation

    NARCIS (Netherlands)

    vanDam, GM; Verbaan, BW; Therneau, TM; Dickson, ER; Malinchoc, M; Murtaugh, PA; Huizenga, [No Value; Gips, CH

    1997-01-01

    Background/Aims: A retrospective study of primary biliary cirrhosis (PBC) was performed to study the Original Mayo Model for predicting survival by a Dutch data-set of patients, presentation of disease progression; assessment of liver transplantation, prediction of post-transplantation survival; and

  13. Interfacing polymeric scaffolds with primary pancreatic ductal adenocarcinoma cells to develop 3D cancer models

    NARCIS (Netherlands)

    Ricci, C.; Mota, C.M.; Moscato, S.; Alessandro, D' D.; Ugel, S.; Sartoris, S.; Bronte, V.; Boggi, U.; Campani, D.; Funel, N.; Moroni, L.; Danti, S.

    2014-01-01

    We analyzed the interactions between human primary cells from pancreatic ductal adenocarcinoma (PDAC) and polymeric scaffolds to develop 3D cancer models useful for mimicking the biology of this tumor. Three scaffold types based on two biocompatible polymeric formulations, such as poly(vinyl alcohol

  14. Does a Socio-Ecological School Model Promote Resilience in Primary Schools?

    Science.gov (United States)

    Lee, Patricia C.; Stewart, Donald E.

    2013-01-01

    Background: This research investigates the extent to which the holistic, multistrategy "health-promoting school" (HPS) model using a resilience intervention can lead to improved resilience among students. Methods: A quasi-experimental design using a study cohort selected from 20 primary schools in Queensland, Australia was employed. Ten…

  15. Using an Empowerment Professional Development Model to Support Beginning Primary Mathematics Teachers

    Science.gov (United States)

    Sparrow, Len; Frid, Sandra

    2003-01-01

    This is a case study report from a larger study that focused on how an empowerment professional development model influenced the mathematics pedagogical practices and beliefs of Australian primary school teachers during their first year of teaching. The research used an interpretive approach for analysis of data from interviews, observations,…

  16. Unmasking feigned sanity: a neurobiological model of emotion processing in primary psychopathy

    NARCIS (Netherlands)

    Honk, E.J. van; Schutter, D.J.L.G.

    2006-01-01

    Introduction. The neurobiological basis of primary psychopathy, an emotional disorder characterised by a lack of fear and empathy, on the one hand, and extremely violent, antisocial tendencies, on the other, is relatively unknown. Nevertheless, theoretical models that emphasise the role of fearlessn

  17. Unmasking feigned sanity: a neurobiological model of emotion processing in primary psychopathy

    NARCIS (Netherlands)

    Honk, E.J. van; Schutter, D.J.L.G.

    2006-01-01

    Introduction. The neurobiological basis of primary psychopathy, an emotional disorder characterised by a lack of fear and empathy, on the one hand, and extremely violent, antisocial tendencies, on the other, is relatively unknown. Nevertheless, theoretical models that emphasise the role of fearlessn

  18. Disruptive Models in Primary Care: Caring for High-Needs, High-Cost Populations.

    Science.gov (United States)

    Hochman, Michael; Asch, Steven M

    2017-04-01

    Starfield and colleagues have suggested four overarching attributes of good primary care: "first-contact access for each need; long-term person- (not disease) focused care; comprehensive care for most health needs; and coordinated care when it must be sought elsewhere." As this series on reinventing primary care highlights, there is a compelling need for new care delivery models that would advance these objectives. This need is particularly urgent for high-needs, high-cost (HNHC) populations. By definition, HNHC patients require extensive attention and consume a disproportionate share of resources, and as a result they strain traditional office-based primary care practices. In this essay, we offer a clinical vignette highlighting the challenges of caring for HNHC populations. We then describe two categories of primary care-based approaches for managing HNHC populations: complex case management, and specialized clinics focused on HNHC patients. Although complex case management programs can be incorporated into or superimposed on the traditional primary care system, such efforts often fail to engage primary care clinicians and HNHC patients, and proven benefits have been modest to date. In contrast, specialized clinics for HNHC populations are more disruptive, as care for HNHC patients must be transferred to a multidisciplinary team that can offer enhanced care coordination and other support. Such specialized clinics may produce more substantial benefits, though rigorous evaluation of these programs is needed. We conclude by suggesting policy reforms to improve care for HNHC populations.

  19. Children's health care assistance according to their families: a comparison between models of Primary Care

    Directory of Open Access Journals (Sweden)

    Vanessa Bertoglio Comassetto Antunes de Oliveira

    2015-02-01

    Full Text Available OBJECTIVE To compare the health assistance models of Basic Traditional Units (UBS with the Family Health Strategy (ESF units for presence and extent of attributes of Primary Health Care (APS, specifically in the care of children. METHOD A cross-sectional study of a quantitative approach with families of children attended by the Public Health Service of Colombo, Paraná. The Primary Care Assessment Tool (PCA-Tool was applied to parents of 482 children, 235 ESF units and 247 UBS units covering all primary care units of the municipality, between June and July 2012. The results were analyzed according to the PCA-Tool manual. RESULTS ESF units reached a borderline overall score for primary health care standards. However, they fared better in their attributes of Affiliation, Integration of care coordination, Comprehensiveness, Family Centeredness and Accessibility of use, while the attributes of Community Guidance/Orientation, Coordination of Information Systems, Longitudinality and Access attributes were rated as insufficient for APS. UBS units had low scores on all attributes. CONCLUSION The ESF units are closer to the principles of APS (Primary Health Care, but there is need to review actions of child care aimed at the attributes of APS in both care models, corroborating similar studies from other regions of Brazil.

  20. Metastatic behaviour of primary human tumours in a zebrafish xenotransplantation model

    Directory of Open Access Journals (Sweden)

    Heidecke Claus-Dieter

    2009-04-01

    Full Text Available Abstract Background Aberrant regulation of cell migration drives progression of many diseases, including cancer cell invasion and metastasis formation. Analysis of tumour invasion and metastasis in living organisms to date is cumbersome and involves difficult and time consuming investigative techniques. For primary human tumours we establish here a simple, fast, sensitive and cost-effective in vivo model to analyse tumour invasion and metastatic behaviour. Methods We fluorescently labelled small explants from gastrointestinal human tumours and investigated their metastatic behaviour after transplantation into zebrafish embryos and larvae. The transparency of the zebrafish embryos allows to follow invasion, migration and micrometastasis formation in real-time. High resolution imaging was achieved through laser scanning confocal microscopy of live zebrafish. Results In the transparent zebrafish embryos invasion, circulation of tumour cells in blood vessels, migration and micrometastasis formation can be followed in real-time. Xenografts of primary human tumours showed invasiveness and micrometastasis formation within 24 hours after transplantation, which was absent when non-tumour tissue was implanted. Furthermore, primary human tumour cells, when organotopically implanted in the zebrafish liver, demonstrated invasiveness and metastatic behaviour, whereas primary control cells remained in the liver. Pancreatic tumour cells showed no metastatic behaviour when injected into cloche mutant embryos, which lack a functional vasculature. Conclusion Our results show that the zebrafish is a useful in vivo animal model for rapid analysis of invasion and metastatic behaviour of primary human tumour specimen.

  1. Comparing global models of terrestrial net primary productivity (NPP): Global pattern and differentiation by major biomes

    Science.gov (United States)

    Kicklighter, D.W.; Bondeau, A.; Schloss, A.L.; Kaduk, J.; McGuire, A.D.

    1999-01-01

    Annual and seasonal net primary productivity estimates (NPP) of 15 global models across latitudinal zones and biomes are compared. The models simulated NPP for contemporary climate using common, spatially explicit data sets for climate, soil texture, and normalized difference vegetation index (NDVI). Differences among NPP estimates varied over space and time. The largest differences occur during the summer months in boreal forests (50??to 60??N) and during the dry seasons of tropical evergreen forests. Differences in NPP estimates are related to model assumptions about vegetation structure, model parameterizations, and input data sets.

  2. Model study on the dependence of primary marine aerosol emission on the sea surface temperature

    Directory of Open Access Journals (Sweden)

    S. Barthel

    2014-01-01

    Full Text Available Primary marine aerosol composed of sea salt and organic material is an important contributor to the global aerosol load. By comparing measurements from two EMEP (co-operative programme for monitoring and evaluation of the long-range transmissions of air-pollutants in Europe intensive campaigns in June 2006 and January 2007 with results from an atmospheric transport model this work shows that accounting for the influence of the sea surface temperature on the emission of primary marine aerosol improves the model results towards the measurements in both months. Different sea surface temperature dependencies were evaluated. Using correction functions based on Sofiev et al. (2011 and Jaeglé et al. (2011 improves the model results for coarse mode particles. In contrast, for the fine mode aerosols no best correction function could be found. The model captures the low sodium concentrations at the marine station Virolahti II (Finland, which is influenced by air masses from the low salinity Baltic Sea, as well as the higher concentrations at Cabauw (Netherlands and Auchencorth Moss (Scotland. These results indicate a shift towards smaller sizes with lower salinity for the emission of dry sea salt aerosols. Organic material was simulated as part of primary marine aerosol assuming an internal mixture with sea salt. A comparison of the model results for primary organic carbon with measurements by a Berner-impactor at Sao Vincente (Cape Verde indicated that the model underpredicted the observed organic carbon concentration. This leads to the conclusion that the formation of secondary organic material needs to be included in the model to improve the agreement with the measurements.

  3. Three-Dimension Visualization for Primary Wheat Diseases Based on Simulation Model

    Science.gov (United States)

    Shijuan, Li; Yeping, Zhu

    Crop simulation model has been becoming the core of agricultural production management and resource optimization management. Displaying crop growth process makes user observe the crop growth and development intuitionisticly. On the basis of understanding and grasping the occurrence condition, popularity season, key impact factors for main wheat diseases of stripe rust, leaf rust, stem rust, head blight and powdery mildew from research material and literature, we designed 3D visualization model for wheat growth and diseases occurrence. The model system will help farmer, technician and decision-maker to use crop growth simulation model better and provide decision-making support. Now 3D visualization model for wheat growth on the basis of simulation model has been developed, and the visualization model for primary wheat diseases is in the process of development.

  4. Optimizing full scope of practice for nurse practitioners in primary care: A proposed conceptual model.

    Science.gov (United States)

    Poghosyan, Lusine; Boyd, Donald R; Clarke, Sean P

    2016-01-01

    Nurse practitioners (NPs), if utilized to their optimal potential, could play a key role in meeting the growing demand for primary care. The purpose of this study was to propose a comprehensive model for maximizing NP contributions to primary care which includes the factors affecting NP care and patient outcomes and explains their interrelated impact. We synthesized the results of the published literature to develop a model, which emphasizes NP scope of practice regulations, institutional policies, NP practice environment, and NP workforce outcomes as determinants of NP care and patient outcomes. Our model provides a framework to help explain how variations in scope of practice regulations at the state-level and institutional policies within organizations directly and indirectly influence the practice environment of NPs, NP workforce outcomes, and patient care and outcomes. Aligning policy change, organizational innovations, and future research are critical to NP optimal utilization and patient care and outcomes. Copyright © 2016 Elsevier Inc. All rights reserved.

  5. Tilt aftereffects in a self-organizing model of the primary visual cortex.

    Science.gov (United States)

    Bednar, J A; Miikkulainen, R

    2000-07-01

    RF-LISSOM, a self-organizing model of laterally connected orientation maps in the primary visual cortex, was used to study the psychological phenomenon known as the tilt aftereffect. The same self-organizing processes that are responsible for the long-term development of the map are shown to result in tilt aftereffects over short timescales in the adult. The model permits simultaneous observation of large numbers of neurons and connections, making it possible to relate high-level phenomena to low-level events, which is difficult to do experimentally. The results give detailed computational support for the long-standing conjecture that the direct tilt aftereffect arises from adaptive lateral interactions between feature detectors. They also make a new prediction that the indirect effect results from the normalization of synaptic efficacies during this process. The model thus provides a unified computational explanation of self-organization and both the direct and indirect tilt aftereffect in the primary visual cortex.

  6. Sheep primary cells as in vitro models to investigate Mycoplasma agalactiae host cell interactions.

    Science.gov (United States)

    Hegde, Shrilakshmi; Gabriel, Cordula; Kragl, Martin; Chopra-Dewasthaly, Rohini

    2015-10-01

    Appropriate infection models are imperative for the understanding of pathogens like mycoplasmas that are known for their strict host and tissue specificity, and lack of suitable cell and small animal models has hindered pathogenicity studies. This is particularly true for the economically important group of ruminant mycoplasmas whose virulence factors need to be elucidated for designing effective intervention strategies. Mycoplasma agalactiae serves as a useful role model especially because it is phylogenetically very close to M. bovis and causes similar symptoms by as yet unknown mechanisms. Here, we successfully prepared and characterized four different primary sheep cell lines, namely the epithelial and stromal cells from the mammary gland and uterus, respectively. Using immunohistochemistry, we identified vimentin and cytokeratin as specific markers to confirm the typical cell phenotypes of these primary cells. Furthermore, M. agalactiae's consistent adhesion and invasion into these primary cells proves the reliability of these cell models. Mimicking natural infections, mammary epithelial and stromal cells showed higher invasion and adhesion rates compared to the uterine cells as also seen via double immunofluorescence staining. Altogether, we have generated promising in vitro cell models to study host-pathogen interactions of M. agalactiae and related ruminant pathogens in a more authentic manner.

  7. Estimating the gross moist stability in shallow and deep convection

    Science.gov (United States)

    Chen, C. A.; Jong, B. T.; Chou, C.

    2015-12-01

    Gross moist stability has been used to study the link between tropical deep convection and large scale circulation in a moist static energy (MSE) budget. Here we aim to calculate the gross moist stability from more realistic profiles of vertical velocity and extend it beyond deep convection, adding shallow convection. Based on a principal component analysis, we were able to decompose the vertical velocity into two leading modes, which are dominated by deep and shallow convection, respectively. According to the deep and shallow modes, we calculate the gross moist stability for these two modes and discuss the roles of deep and shallow convection in the MSE budget. The gross moist stability of deep convection tends to be positive in the tropics, while that of shallow convection is negative over most areas of the tropics. This implies that deep convection exports MSE to stabilize the atmosphere and shallow convection imports MSE to enhance deep convection and destabilize the atmosphere. Based on the spatial distribution, moisture tends to reduce the gross moist stability of deep convection, while dry static energy has little impact. Deeper deep convection tends to have greater gross moist stability. For shallow convection, on the other hand, the gross moist stability is affected not only by low-level moisture but also mid-level moisture. Both moister low-level and drier mid-level moisture reduce the gross moist stability of shallow convection. Greater low-level dry static energy, which is associated with warmer sea surface temperature, also tends to reduce gross moist stability.

  8. The Industrial Cluster of the Primary Agriculture Based on "Diamond Model"

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    The status quo and problems of industrial cluster of the primary agriculture is discussed by dividing the cluster into primary cluster and advanced cluster and by using Michael Porter’s Diamond Model from the five aspects including production factors, demand factors, relevant industry and supporting industry, the strategy and structure of enterprises and horizontal competition and opportunities and government. In the end, the countermeasures on promoting the development and expansion of industrial cluster of primary agriculture are put forward. Firstly, intensifying the training on farmers and introduce into advanced science and technology results; secondly, perfecting the construction of infrastructure, creating famous brand and widening the channels for funding; thirdly, strengthening the development of relevant industries and supporting industries; fourthly, perfecting land transfer system; improving the degree of systematization and cultivating pillar industries; fifthly, intensifying the government’ support on industrial cluster.

  9. Comparison of Primary Models to Predict Microbial Growth by the Plate Count and Absorbance Methods.

    Science.gov (United States)

    Pla, María-Leonor; Oltra, Sandra; Esteban, María-Dolores; Andreu, Santiago; Palop, Alfredo

    2015-01-01

    The selection of a primary model to describe microbial growth in predictive food microbiology often appears to be subjective. The objective of this research was to check the performance of different mathematical models in predicting growth parameters, both by absorbance and plate count methods. For this purpose, growth curves of three different microorganisms (Bacillus cereus, Listeria monocytogenes, and Escherichia coli) grown under the same conditions, but with different initial concentrations each, were analysed. When measuring the microbial growth of each microorganism by optical density, almost all models provided quite high goodness of fit (r(2) > 0.93) for all growth curves. The growth rate remained approximately constant for all growth curves of each microorganism, when considering one growth model, but differences were found among models. Three-phase linear model provided the lowest variation for growth rate values for all three microorganisms. Baranyi model gave a variation marginally higher, despite a much better overall fitting. When measuring the microbial growth by plate count, similar results were obtained. These results provide insight into predictive microbiology and will help food microbiologists and researchers to choose the proper primary growth predictive model.

  10. Modelling DW-MRI data from primary and metastatic ovarian tumours

    Energy Technology Data Exchange (ETDEWEB)

    Winfield, Jessica M. [Institute of Cancer Research, CRUK and EPSRC Cancer Imaging Centre, Division of Radiotherapy and Imaging, Surrey (United Kingdom); Royal Marsden NHS Foundation Trust, Surrey (United Kingdom); Institute of Cancer Research and Royal Marsden Hospital, MRI Unit, Surrey (United Kingdom); DeSouza, Nandita M.; Collins, David J. [Institute of Cancer Research, CRUK and EPSRC Cancer Imaging Centre, Division of Radiotherapy and Imaging, Surrey (United Kingdom); Royal Marsden NHS Foundation Trust, Surrey (United Kingdom); Priest, Andrew N.; Hodgkin, Charlotte; Freeman, Susan [University of Cambridge, Department of Radiology, Addenbrooke' s Hospital, Cambridge (United Kingdom); Wakefield, Jennifer C.; Orton, Matthew R. [Institute of Cancer Research, CRUK and EPSRC Cancer Imaging Centre, Division of Radiotherapy and Imaging, Surrey (United Kingdom)

    2015-07-15

    To assess goodness-of-fit and repeatability of mono-exponential, stretched exponential and bi-exponential models of diffusion-weighted MRI (DW-MRI) data in primary and metastatic ovarian cancer. Thirty-nine primary and metastatic lesions from thirty-one patients with stage III or IV ovarian cancer were examined before and after chemotherapy using DW-MRI with ten diffusion-weightings. The data were fitted with (a) a mono-exponential model to give the apparent diffusion coefficient (ADC), (b) a stretched exponential model to give the distributed diffusion coefficient (DDC) and stretching parameter (α), and (c) a bi-exponential model to give the diffusion coefficient (D), perfusion fraction (f) and pseudodiffusion coefficient (D*). Coefficients of variation, established from repeated baseline measurements, were: ADC 3.1 %, DDC 4.3 %, α 7.0 %, D 13.2 %, f 44.0 %, D* 165.1 %. The bi-exponential model was unsuitable in these data owing to poor repeatability. After excluding the bi-exponential model, analysis using Akaike Information Criteria showed that the stretched exponential model provided the better fit to the majority of pixels in 64 % of lesions. The stretched exponential model provides the optimal fit to DW-MRI data from ovarian, omental and peritoneal lesions and lymph nodes in pre-treatment and post-treatment measurements with good repeatability. (orig.)

  11. Hypogammaglobulinemia in BLT humanized mice--an animal model of primary antibody deficiency.

    Directory of Open Access Journals (Sweden)

    Francisco Martinez-Torres

    Full Text Available Primary antibody deficiencies present clinically as reduced or absent plasma antibodies without another identified disorder that could explain the low immunoglobulin levels. Bone marrow-liver-thymus (BLT humanized mice also exhibit primary antibody deficiency or hypogammaglobulinemia. Comprehensive characterization of B cell development and differentiation in BLT mice revealed other key parallels with primary immunodeficiency patients. We found that B cell ontogeny was normal in the bone marrow of BLT mice but observed an absence of switched memory B cells in the periphery. PC-KLH immunizations led to the presence of switched memory B cells in immunized BLT mice although plasma cells producing PC- or KLH- specific IgG were not detected in tissues. Overall, we have identified the following parallels between the humoral immune systems of primary antibody deficiency patients and those in BLT mice that make this in vivo model a robust and translational experimental platform for gaining a greater understanding of this heterogeneous array of humoral immunodeficiency disorders in humans: (i hypogammaglobulinemia; (ii normal B cell ontogeny in bone marrow; and (iii poor antigen-specific IgG response to immunization. Furthermore, the development of strategies to overcome these humoral immune aberrations in BLT mice may in turn provide insights into the pathogenesis of some primary antibody deficiency patients which could lead to novel clinical interventions for improved humoral immune function.

  12. Activity transport models for PWR primary circuits; PWR-ydinvoimalaitoksen primaeaeripiirin aktiivisuuskulkeutumismallit

    Energy Technology Data Exchange (ETDEWEB)

    Tanner, V.; Rosenberg, R. [VTT Chemical Technology, Otaniemi (Finland)

    1995-03-01

    The corrosion products activated in the primary circuit form a major source of occupational radiation dose in the PWR reactors. Transport of corrosion activity is a complex process including chemistry, reactor physics, thermodynamics and hydrodynamics. All the mechanisms involved are not known and there is no comprehensive theory for the process, so experimental test loops and plant data are very important in research efforts. Several activity transport modelling attempts have been made to improve the water chemistry control and to minimise corrosion in PWR`s. In this research report some of these models are reviewed with special emphasis on models designed for Soviet VVER type reactors. (51 refs., 16 figs., 4 tabs.).

  13. Primary hepatic angiosarcoma:a clinical and pathological analysis

    Institute of Scientific and Technical Information of China (English)

    王湛博

    2013-01-01

    Objective To investigate the clinicopathological characteristics,differential diagnosis,and prognosis of primary hepatic angiosarcoma,and to review the literature.Methods Twenty cases of primary hepatic angiosarcoma were analyzed by gross examination and light

  14. The primary care prescribing psychologist model: medical provider ratings of the safety, impact and utility of prescribing psychology in a primary care setting.

    Science.gov (United States)

    Shearer, David S; Harmon, S Cory; Seavey, Brian M; Tiu, Alvin Y

    2012-12-01

    Family medicine providers at a large family medicine clinic were surveyed regarding their impression of the impact, utility and safety of the Primary Care Prescribing Psychologist (PCPP) model in which a prescribing psychologist is embedded in a primary care clinic. This article describes the model and provides indications of its strengths and weaknesses as reported by medical providers who have utilized the model for the past 2 years. A brief history of prescribing psychology and the challenges surrounding granting psychologists the authority to prescribe psychotropic medication is summarized. Results indicate family medicine providers agree that having a prescribing psychologist embedded in the family medicine clinic is helpful to their practice, safe for patients, convenient for providers and for patients, and improves patient care. Potential benefits of integrating prescribing psychology into primary care are considered and directions for future research are discussed.

  15. Instructional Technology and School Ethos: A Primary School Model in Southwest England

    Directory of Open Access Journals (Sweden)

    Erik Jon Byker

    2014-04-01

    Full Text Available The way in which information and communication technology (ICT enhances the dimensions of teaching and student learning is not well understood. As a result, schools and teacher often integrate ICT with little thought to how it could be educationally profitable or pedagogically meaningful. The literature calls for models of primary school ICT integration. This paper reports on a case study of a primary school (or elementary school model of technology integration. Specifically, the case study investigates a public, primary school located in rural Southwest England. In particular, the paper describes how ICT is integrated in a Grade Six classroom in this primary school. Using a mixed-methods research methodology, the study’s data is drawn from 60 participants (n=60, including the school’s teachers and students. The analyses of this study uncovered a strong link between successful ICT integration and school ethos. Furthermore, the study found that along with school ethos the teacher leadership fostered an environment where the integration of ICT can flourish and students are motivated to learn.

  16. Modeling strategy to identify patients with primary immunodeficiency utilizing risk management and outcome measurement.

    Science.gov (United States)

    Modell, Vicki; Quinn, Jessica; Ginsberg, Grant; Gladue, Ron; Orange, Jordan; Modell, Fred

    2017-06-01

    This study seeks to generate analytic insights into risk management and probability of an identifiable primary immunodeficiency defect. The Jeffrey Modell Centers Network database, Jeffrey Modell Foundation's 10 Warning Signs, the 4 Stages of Testing Algorithm, physician-reported clinical outcomes, programs of physician education and public awareness, the SPIRIT® Analyzer, and newborn screening, taken together, generates P values of less than 0.05%. This indicates that the data results do not occur by chance, and that there is a better than 95% probability that the data are valid. The objectives are to improve patients' quality of life, while generating significant reduction of costs. The advances of the world's experts aligned with these JMF programs can generate analytic insights as to risk management and probability of an identifiable primary immunodeficiency defect. This strategy reduces the uncertainties related to primary immunodeficiency risks, as we can screen, test, identify, and treat undiagnosed patients. We can also address regional differences and prevalence, age, gender, treatment modalities, and sites of care, as well as economic benefits. These tools support high net benefits, substantial financial savings, and significant reduction of costs. All stakeholders, including patients, clinicians, pharmaceutical companies, third party payers, and government healthcare agencies, must address the earliest possible precise diagnosis, appropriate intervention and treatment, as well as stringent control of healthcare costs through risk assessment and outcome measurement. An affected patient is entitled to nothing less, and stakeholders are responsible to utilize tools currently available. Implementation offers a significant challenge to the entire primary immunodeficiency community.

  17. Mathematical modeling of atmospheric fine particle-associated primary organic compound concentrations

    Science.gov (United States)

    Rogge, Wolfgang F.; Hildemann, Lynn M.; Mazurek, Monica A.; Cass, Glen R.; Simoneit, Bernd R. T.

    1996-08-01

    An atmospheric transport model has been used to explore the relationship between source emissions and ambient air quality for individual particle phase organic compounds present in primary aerosol source emissions. An inventory of fine particulate organic compound emissions was assembled for the Los Angeles area in the year 1982. Sources characterized included noncatalyst- and catalyst-equipped autos, diesel trucks, paved road dust, tire wear, brake lining dust, meat cooking operations, industrial oil-fired boilers, roofing tar pots, natural gas combustion in residential homes, cigarette smoke, fireplaces burning oak and pine wood, and plant leaf abrasion products. These primary fine particle source emissions were supplied to a computer-based model that simulates atmospheric transport, dispersion, and dry deposition based on the time series of hourly wind observations and mixing depths. Monthly average fine particle organic compound concentrations that would prevail if the primary organic aerosol were transported without chemical reaction were computed for more than 100 organic compounds within an 80 km × 80 km modeling area centered over Los Angeles. The monthly average compound concentrations predicted by the transport model were compared to atmospheric measurements made at monitoring sites within the study area during 1982. The predicted seasonal variation and absolute values of the concentrations of the more stable compounds are found to be in reasonable agreement with the ambient observations. While model predictions for the higher molecular weight polycyclic aromatic hydrocarbons (PAH) are in agreement with ambient observations, lower molecular weight PAH show much higher predicted than measured atmospheric concentrations in the particle phase, indicating atmospheric decay by chemical reactions or evaporation from the particle phase. The atmospheric concentrations of dicarboxylic acids and aromatic polycarboxylic acids greatly exceed the contributions that

  18. World distribution of gross domestic product per-capita

    Science.gov (United States)

    Bustos-Guajardo, R.; Moukarzel, Cristian F.

    2015-05-01

    It is shown that the world distribution of gross domestic products per capita (GDPpc) is well described by a trade-investment model that combines yard-sale (YS) exchange and random multiplicative noise (RMN). We first derive analytically the typical value w(r, t) of the ranked wealths for a system evolving under YS exchange and RMN. The resulting analytical expressions are fitted to data for the GDPpc of up to 200 countries, in the period 1960-2013. Our model fits the data significantly better than previously proposed approaches that consider either Noise or Trade alone. Analysis of the resulting values for the fitting parameters, and of their time dependence, suggests that: (a) International trade conditions have (from 1960 to 2008) a statistical bias towards favoring richer countries. (b) Biased international commerce is the main cause for the observed divergence of GDPpc values from 1960 to 2008. (c) After 2008, the distribution of GDPpc starts to converge, and the world product per capita stops growing.

  19. Method of Multi-dimensional Gross Errors Snooping of GPS Velocity Estimation in Airborne Gravimetry

    Directory of Open Access Journals (Sweden)

    ZHENG Kai

    2016-06-01

    Full Text Available Precision velocity plays an important role in airborne gravimetry. Since the aircraft in a state of stable flight, we could establish a strict state equation with constant acceleration model for it, then obtained predicted velocity which was used for constructing a priori residual Q to detect the gross errors. Theoretical research showed that Q was influenced by the accuracy of predicted velocity and the measurement errors. According to the statistical features of Q combined with IGG Ⅲ principle, we could lower the contribution of the observation that contained the gross errors. Static testing was used for analyzing the characteristic of measurement errors as well as the accuracy of predicted velocity under the simulated ideal flight environment where the acceleration was approximate to a constant, the results also showed the relationship between the sampling rate and the ability of detecting gross errors. Both the static and kinematic tests demonstrate that new method can well detect the gross error smaller than 1 cycle.

  20. Premedical anatomy experience and student performance in medical gross anatomy.

    Science.gov (United States)

    Kondrashov, Peter; McDaniel, Dalton J; Jordan, Rebecca M

    2017-04-01

    Gross anatomy is considered one of the most important basic science courses in medical education, yet few medical schools require its completion prior to matriculation. The effect of taking anatomy courses before entering medical school on performance in medical gross anatomy has been previously studied with inconsistent results. The effect of premedical anatomy coursework on performance in medical gross anatomy, overall medical school grade point average (GPA), and Comprehensive Osteopathic Medical Licensing Examination Level 1 (COMLEX 1) score was evaluated in 456 first-year osteopathic medical students along with a survey on its perceived benefits on success in medical gross anatomy course. No significant differences were found in gross anatomy grade, GPA, or COMLEX 1 score between students with premedical anatomy coursework and those without. However, significant differences and higher scores were observed in students who had taken three or more undergraduate anatomy courses including at least one with cadaveric laboratory. There was significantly lower perceived benefit for academic success in the medical gross anatomy course (P<.001) from those students who had taken premedical anatomy courses (5.9 of 10) compared with those who had not (8.2 of 10). Results suggest that requiring any anatomy course as a prerequisite for medical school would not have significant effect on student performance in the medical gross anatomy course. However, requiring more specific anatomy coursework including taking three or more undergraduate anatomy courses, one with cadaveric laboratory component, may result in higher medical gross anatomy grades, medical school GPA, and COMLEX 1 scores. Clin. Anat. 30:303-311, 2017. © 2017 Wiley Periodicals, Inc.

  1. A comprehensive model for intimate partner violence in South African primary care: action research

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    Joyner Kate

    2012-11-01

    Full Text Available Abstract Background Despite extensive evidence on the magnitude of intimate partner violence (IPV as a public health problem worldwide, insubstantial progress has been made in the development and implementation of sufficiently comprehensive health services. This study aimed to implement, evaluate and adapt a published protocol for the screening and management of IPV and to recommend a model of care that could be taken to scale in our underdeveloped South African primary health care system. Methods Professional action research utilised a co-operative inquiry group that consisted of four nurses, one doctor and a qualitative researcher. The inquiry group implemented the protocol in two urban and three rural primary care facilities. Over a period of 14 months the group reflected on their experience, modified the protocol and developed recommendations on a practical but comprehensive model of care. Results The original protocol had to be adapted in terms of its expectations of the primary care providers, overly forensic orientation, lack of depth in terms of mental health, validity of the danger assessment and safety planning process, and need for ongoing empowerment and support. A three-tier model resulted: case finding and clinical care provision by primary care providers; psychological, social and legal assistance by ‘IPV champions’ followed by a group empowerment process; and then ongoing community-based support groups. Conclusion The inquiry process led to a model of comprehensive and intersectoral care that is integrated at the facility level and which is now being piloted in the Western Cape, South Africa.

  2. Adoption of information technology enabled innovations by primary care physicians: model and questionnaire development.

    OpenAIRE

    Dixon, D. R.; Dixon, B. J.

    1994-01-01

    A survey instrument was developed based on a model of the substantive factors influencing the adoption of Information Technology (IT) enabled innovations by physicians. The survey was given to all faculty and residents in a Primary Care teaching institution. Computerized literature searching was the IT innovation studied. The results support the role of the perceived ease of use and the perceived usefulness of an innovation as well as the intent to use an innovation as factors important for i...

  3. Interprofessional practice in primary care: development of a tailored process model

    Directory of Open Access Journals (Sweden)

    Stans SEA

    2013-04-01

    Full Text Available Steffy EA Stans, JG Anita Stevens, Anna JHM Beurskens Research Center of Autonomy and Participation for Persons with a Chronic Illness, Zuyd University of Applied Sciences, Heerlen, The Netherlands Purpose: This study investigated the improvement of interprofessional practice in primary care by performing the first three steps of the implementation model described by Grol et al. This article describes the targets for improvement in a setting for children with complex care needs (step 1, the identification of barriers and facilitators influencing interprofessional practice (step 2, and the development of a tailored interprofessional process model (step 3. Methods: In step 2, thirteen qualitative semistructured interviews were held with several stakeholders, including parents of children, an occupational therapist, a speech and language therapist, a physical therapist, the manager of the team, two general practitioners, a psychologist, and a primary school teacher. The data were analyzed using directed content analysis and using the domains of the Chronic Care Model as a framework. In step 3, a project group was formed to develop helpful strategies, including the development of an interprofessional process through process mapping. Results: In step 2, it was found that the most important barriers to implementing interprofessional practice related to the lack of structure in the care process. A process model for interprofessional primary care was developed for the target group. Conclusion: The lack of a shared view of what is involved in the process of interprofessional practice was the most important barrier to its successful implementation. It is suggested that the tailored process developed, supported with the appropriate tools, may provide both professional staff and their clients, in this setting but also in other areas of primary care, with insight to the care process and a clear representation of "who should do what, when, and how." Keywords

  4. Gross Motor Profile and Its Association with Socialization Skills in Children with Autism Spectrum Disorders

    Directory of Open Access Journals (Sweden)

    Hardiono D. Pusponegoro

    2016-12-01

    Conclusion: Children with ASD had lower gross motor skills compared to typically developing children. Gross motor impairments were found in 20% of the ASD children, and these children also had lower socialization skills than those without gross motor impairments.

  5. Academic retainer medicine: an innovative business model for cross-subsidizing primary care.

    Science.gov (United States)

    Lucier, David J; Frisch, Nicholas B; Cohen, Brian J; Wagner, Michael; Salem, Deeb; Fairchild, David G

    2010-06-01

    Retainer-medicine primary care practices, commonly referred to as "luxury" or "concierge" practices, provide enhanced services to patients beyond those available in traditional practices for a yearly retainer fee. Adoption of retainer practices has been largely absent in academic health centers (AHCs). Reasons for this trend stem primarily from ethical concerns, such as the potential for patient abandonment when physicians downsize from larger, traditional practices to smaller, retainer-medicine practices.In 2004, the Department of Medicine at Tufts Medical Center developed an academic retainer-medicine primary care practice within the Division of General Medicine that not only generates financial support for the division but also incorporates a clinical and business model that is aligned with the mission and ethics of an academic institution.In contrast to private retainer-medicine practices, this unique business model addresses several of the ethical issues associated with traditional retainer practices-it does not restrict net access to care and it neutralizes concerns about patient abandonment. Addressing the growing primary care shortage, the model also presents the opportunity for a retainer practice to cross-subsidize the expansion of general medicine in an academic medical setting. The authors elucidate the benefits, as well as the inherent challenges, of embedding an academic retainer-medicine practice within an AHC.

  6. Identifying future models for delivering genetic services: a nominal group study in primary care

    Directory of Open Access Journals (Sweden)

    Davies Peter

    2005-04-01

    Full Text Available Background To enable primary care medical practitioners to generate a range of possible service delivery models for genetic counselling services and critically assess their suitability. Methods Modified nominal group technique using in primary care professional development workshops. Results 37 general practitioners in Wales, United Kingdom too part in the nominal group process. The practitioners who attended did not believe current systems were sufficient to meet anticipated demand for genetic services. A wide range of different service models was proposed, although no single option emerged as a clear preference. No argument was put forward for genetic assessment and counselling being central to family practice, neither was there a voice for the view that the family doctor should become skilled at advising patients about predictive genetic testing and be able to counsel patients about the wider implications of genetic testing for patients and their family members, even for areas such as common cancers. Nevertheless, all the preferred models put a high priority on providing the service in the community, and often co-located in primary care, by clinicians who had developed expertise. Conclusion There is a need for a wider debate about how healthcare systems address individual concerns about genetic concerns and risk, especially given the increasing commercial marketing of genetic tests.

  7. Developing a primary care research agenda through collaborative efforts - a proposed "6E" model.

    Science.gov (United States)

    Tan, Ngiap Chuan; Ng, Chirk Jenn; Rosemary, Mitchell; Wahid, Khan; Goh, Lee Gan

    2014-01-01

    Primary care research is at a crossroad in South Pacific. A steering committee comprising a member of WONCA Asia Pacific Regional (APR) council and the President of Fiji College of General Practitioners garnered sponsorship from Fiji Ministry of Health, WONCA APR and pharmaceutical agencies to organize the event in October 2013. This paper describes the processes needed to set up a national primary research agenda through the collaborative efforts of local stakeholders and external facilitators using a test case in South Pacific. The setting was a 2-day primary care research workshop in Fiji. The steering committee invited a team of three external facilitators from the Asia-Pacific region to organize and operationalize the workshop. The eventual participants were 3 external facilitators, 6 local facilitators, and 29 local primary care physicians, academics, and local medical leaders from Fiji and South Pacific Islands. Pre-workshop and main workshop programs were drawn up by the external facilitators, using participants' input of research topics relating to their local clinical issues of interest. Course notes were prepared and distributed before the workshop. In the workshop, proposed research topics were shortlisted by group discussion and consensus. Study designs were proposed, scrutinized, and adopted for further research development. The facilitators reviewed the processes in setting the research agenda after the workshop and conceived the proposed 6E model. These processes can be grouped for easy reference, comprising the pre-workshop stages of "entreat", "enlist", "engage", and the workshop stages of "educe", "empower", and "encapsulate". The 6E model to establish a research agenda is conceptually logical. Its feasibility can be further tested in its application in other situation where research agenda setting is the critical step to improve the quality of primary care.

  8. Modelling in Primary School: Constructing Conceptual Models and Making Sense of Fractions

    Science.gov (United States)

    Shahbari, Juhaina Awawdeh; Peled, Irit

    2017-01-01

    This article describes sixth-grade students' engagement in two model-eliciting activities offering students the opportunity to construct mathematical models. The findings show that students utilized their knowledge of fractions including conceptual and procedural knowledge in constructing mathematical models for the given situations. Some students…

  9. Information processing occurs via critical avalanches in a model of the primary visual cortex

    Science.gov (United States)

    Bortolotto, G. S.; Girardi-Schappo, M.; Gonsalves, J. J.; Pinto, L. T.; Tragtenberg, M. H. R.

    2016-01-01

    We study a new biologically motivated model for the Macaque monkey primary visual cortex which presents power-law avalanches after a visual stimulus. The signal propagates through all the layers of the model via avalanches that depend on network structure and synaptic parameter. We identify four different avalanche profiles as a function of the excitatory postsynaptic potential. The avalanches follow a size-duration scaling relation and present critical exponents that match experiments. The structure of the network gives rise to a regime of two characteristic spatial scales, one of which vanishes in the thermodynamic limit.

  10. A comparison of model helicopter rotor Primary and Secondary blade/vortex interaction blade slap

    Science.gov (United States)

    Hubbard, J. E., Jr.; Leighton, K. P.

    1983-01-01

    A study of the relative importance of blade/vortex interactions which occur on the retreating side of a model helicopter rotor disk is described. Some of the salient characteristics of this phenomenon are presented and discussed. It is shown that the resulting Secondary blade slap may be of equal or greater intensity than the advancing side (Primary) blade slap. Instrumented model helicopter rotor data is presented which reveals the nature of the retreating blade/vortex interaction. The importance of Secondary blade slap as it applies to predictive techniques or approaches is discussed. When Secondary blade slap occurs it acts to enlarge the window of operating conditions for which blade slap exists.

  11. Size distributions of secondary and primary aerosols in Asia: A 3-D modeling

    Science.gov (United States)

    Yu, F.; Luo, G.; Wang, Z.

    2009-12-01

    Asian aerosols have received increasing attention because of their potential health and climate effects and the rapid increasing of Asian emissions associated with accelerating economic expansion. Aerosol particles appear in the atmosphere due to either in-situ nucleation (i.e, secondary particles) or direct emissions (i.e., primary particles), and their environmental impacts depend strongly on their concentrations, sizes, compositions, and mixing states. A size-resolved (sectional) particle microphysics model with a number of computationally efficient schemes has been incorporated into a global chemistry transport model (GEOS-Chem) to simulate the number size distributions of secondary and primary particles in the troposphere (Yu and Luo, Atmos. Chem. Phys. Discuss., 9, 10597-10645, 2009). The growth of nucleated particles through the condensation of sulfuric acid vapor and equilibrium uptake of nitrate, ammonium, and secondary organic aerosol is explicitly simulated, along with the coating of primary particles (dust, black carbon, organic carbon, and sea salt) by volatile components via condensation and coagulation with secondary particles. Here we look into the spatiotemporal variations of the size distributions of secondary and primary aerosols in Asia. The annual mean number concentration of the accumulation mode particles (dry diameter > ~ 100 nm) in the lower troposphere over Asia (especially China) is very high and is dominated (~70-90%) by carbonaceous primary particles (with coated condensable species). Coagulation and condensation turn the primary particles into mixed particles and on average increase the dry sizes of primary particles by a factor of ~ 2-2.5. Despite of high condensation sink, sulfuric acid vapor concentration in many parts of Asian low troposphere is very high (annual mean values above 1E7/cm3) and significant new particle formation still occurs. Secondary particles generally dominate the particles small than 100 nm and the equilibrium

  12. Primary Cilia Negatively Regulate Melanogenesis in Melanocytes and Pigmentation in a Human Skin Model

    Science.gov (United States)

    Kim, Eun Sung; Park, So Jung; Bae, Il-Hong; Jo, Yoon Kyung; Jeong, In Young; Kim, Hyoung-June; Lee, Youngjin; Park, Hea Chul; Jeon, Hong Bae; Kim, Ki Woo; Lee, Tae Ryong; Cho, Dong-Hyung

    2016-01-01

    The primary cilium is an organelle protruding from the cell body that senses external stimuli including chemical, mechanical, light, osmotic, fluid flow, and gravitational signals. Skin is always exposed to the external environment and responds to external stimuli. Therefore, it is possible that primary cilia have an important role in skin. Ciliogenesis was reported to be involved in developmental processes in skin, such as keratinocyte differentiation and hair formation. However, the relation between skin pigmentation and primary cilia is largely unknown. Here, we observed that increased melanogenesis in melanocytes treated with a melanogenic inducer was inhibited by a ciliogenesis inducer, cytochalasin D, and serum-free culture. However, these inhibitory effects disappeared in GLI2 knockdown cells. In addition, activation of sonic hedgehog (SHH)-smoothened (Smo) signaling pathway by a Smo agonist, SAG inhibited melanin synthesis in melanocytes and pigmentation in a human skin model. On the contrary, an inhibitor of primary cilium formation, ciliobrevin A1, activated melanogenesis in melanocytes. These results suggest that skin pigmentation may be regulated partly by the induction of ciliogenesis through Smo-GLI2 signaling. PMID:27941997

  13. Interfacing polymeric scaffolds with primary pancreatic ductal adenocarcinoma cells to develop 3D cancer models.

    Science.gov (United States)

    Ricci, Claudio; Mota, Carlos; Moscato, Stefania; D'Alessandro, Delfo; Ugel, Stefano; Sartoris, Silvia; Bronte, Vincenzo; Boggi, Ugo; Campani, Daniela; Funel, Niccola; Moroni, Lorenzo; Danti, Serena

    2014-01-01

    We analyzed the interactions between human primary cells from pancreatic ductal adenocarcinoma (PDAC) and polymeric scaffolds to develop 3D cancer models useful for mimicking the biology of this tumor. Three scaffold types based on two biocompatible polymeric formulations, such as poly(vinyl alcohol)/gelatin (PVA/G) mixture and poly(ethylene oxide terephthalate)/poly(butylene terephthalate) (PEOT/PBT) copolymer, were obtained via different techniques, namely, emulsion and freeze-drying, compression molding followed by salt leaching, and electrospinning. In this way, primary PDAC cells interfaced with different pore topographies, such as sponge-like pores of different shape and size or nanofiber interspaces. The aim of this study was to investigate the influence played by the scaffold architecture over cancerous cell growth and function. In all scaffolds, primary PDAC cells showed good viability and synthesized tumor-specific metalloproteinases (MMPs) such as MMP-2, and MMP-9. However, only sponge-like pores, obtained via emulsion-based and salt leaching-based techniques allowed for an organized cellular aggregation very similar to the native PDAC morphological structure. Differently, these cell clusters were not observed on PEOT/PBT electrospun scaffolds. MMP-2 and MMP-9, as active enzymes, resulted to be increased in PVA/G and PEOT/PBT sponges, respectively. These findings suggested that spongy scaffolds supported the generation of pancreatic tumor models with enhanced aggressiveness. In conclusion, primary PDAC cells showed diverse behaviors while interacting with different scaffold types that can be potentially exploited to create stage-specific pancreatic cancer models likely to provide new knowledge on the modulation and drug susceptibility of MMPs.

  14. Modelling Kara Sea phytoplankton primary production: Development and skill assessment of regional algorithms

    Science.gov (United States)

    Demidov, Andrey B.; Kopelevich, Oleg V.; Mosharov, Sergey A.; Sheberstov, Sergey V.; Vazyulya, Svetlana V.

    2017-07-01

    Empirical region-specific (RSM), depth-integrated (DIM) and depth-resolved (DRM) primary production models are developed based on data from the Kara Sea during the autumn (September-October 1993, 2007, 2011). The model is validated by using field and satellite (MODIS-Aqua) observations. Our findings suggest that RSM algorithms perform better than non-region-specific algorithms (NRSM) in terms of regression analysis, root-mean-square difference (RMSD) and model efficiency. In general, the RSM and NRSM underestimate or overestimate the in situ water column integrated primary production (IPP) by a factor of 2 and 2.8, respectively. Additionally, our results suggest that the model skill of the RSM increases when the chlorophyll specific carbon fixation rate, efficiency of photosynthesis and photosynthetically available radiation (PAR) are used as input variables. The parameterization of chlorophyll (chl a) vertical profiles is performed in Kara Sea waters with different trophic statuses. Model validation with field data suggests that the DIM and DRM algorithms perform equally (RMSD of 0.29 and 0.31, respectively). No changes in the performance of the DIM and DRM algorithms are observed (RMSD of 0.30 and 0.31, respectively) when satellite-derived chl a, PAR and the diffuse attenuation coefficient (Kd) are applied as input variables.

  15. The importance of Resilience to Primary Care Practitioners: an Interactive Psycho-Social Model

    Directory of Open Access Journals (Sweden)

    Dr Robert Muller

    2009-01-01

    Full Text Available In this paper, it is argued that an understanding of the factors that make up resilience canenhance communication and concordance between practitioner and patient. A model ispresented demonstrating that resilience is an interaction between factors in the internaldomain, comprising psychological characteristics and resources, and the external domain,comprising the social environment surrounding the individual. As resilience manifests itselfin different ways across the life-cycle, and according to individual circumstances, time is alsoan important part of the model presented in this paper. Understanding this model of resiliencecan lead to an insight that there are factors that can be influenced whereby the primary carepractitioner can treat the patient, or refer them after a process of concordance through adeeper understanding of the factors that surround a patient’s current health status. Underlyingthe model is the view that resilience is linked to the assets model of health, seeking topromote and maintain health and prevent illness. Therefore, primary care practitioners,through a deeper understanding of the circumstances of the patient, and throughunderstanding the factors that promote resilience, may be better able to take action in healthpromotion and maintenance.

  16. Kansas Primary Care Weighs In: A Pilot Randomized Trial of a Chronic Care Model Program for Obesity in 3 Rural Kansas Primary Care Practices

    Science.gov (United States)

    Ely, Andrea C.; Banitt, Angela; Befort, Christie; Hou, Qing; Rhode, Paula C.; Grund, Chrysanne; Greiner, Allen; Jeffries, Shawn; Ellerbeck, Edward

    2008-01-01

    Context: Obesity is a chronic disease of epidemic proportions in the United States. Primary care providers are critical to timely diagnosis and treatment of obesity, and need better tools to deliver effective obesity care. Purpose: To conduct a pilot randomized trial of a chronic care model (CCM) program for obesity care in rural Kansas primary…

  17. Relevancia de la anatomía humana en el ejercicio de la medicina de asistencia primaria y en el estudio de las asignaturas de segundo ciclo de la licenciatura en medicina Relevance of Gross Human Anatomy in health primary care and in clinical disciplines of medical studies

    Directory of Open Access Journals (Sweden)

    Blanca Mompeó

    2003-03-01

    Full Text Available El objetivo de este trabajo fue conocer la relevancia y la necesidad que de conocimientos en Anatomía macroscópica tenían los médicos de asistencia primaria y los alumnos del segundo ciclo de la licenciatura en Medicina. También nos interesó saber cual era su opinión sobre esta disciplina del curriculum médico. Para ello, médicos de asistencia primaria de los Centros de Salud de la provincia de las Palmas y alumnos de 6º curso de la Licenciatura en Medicina de la U.L.P.G.C., cumplimentaron un cuestionario en el que se valoraron los aspectos referidos. Ambos grupos consideraron que la Anatomía era fundamental para la exploración física y para la interpretación de técnicas de imagen. Los conocimientos más necesarios a la hora de su aplicación a la práctica y al estudio de las asignaturas clínicas fueron los de sistema nervioso y aparato locomotor. Modificarían la docencia que recibieron, incrementando el número de clases prácticas y dándole un mayor enfoque clínico. Los tres objetivos fundamentales de aprendizaje propuestos por los profesionales en ejercicio fueron: 1. Conocer las estructuras anatómicas y relaciones entre ellas 2. Reconocer estructuras anatómicas mediante técnicas de imagen y 3. Ser capaz de describir las bases anatómicas de la patología.The aim of this work was to highlight the relevance and necessity about gross anatomy knowledge had on family physicians and clinical-courses medical students. We also wanted to know their suggestions about the discipline Human Anatomy in Medical studies. To obtain our objective, physicians of Health Centres in Las Palmas and last-year medical students of U.L.P.G.C. were asked to fill a questionnaire. In this questionnaire the referred items were considered. The data obtained showed that both groups thought that Gross Anatomy was fundamental in the physical exploration and the image techniques interpretation. They considered that anatomical knowledge more necessary for

  18. Stereoscopic depth perception using a model based on the primary visual cortex.

    Directory of Open Access Journals (Sweden)

    Fernanda da C E C Faria

    Full Text Available This work describes an approach inspired by the primary visual cortex using the stimulus response of the receptive field profiles of binocular cells for disparity computation. Using the energy model based on the mechanism of log-Gabor filters for disparity encodings, we propose a suitable model to consistently represent the complex cells by computing the wide bandwidths of the cortical cells. This way, the model ensures the general neurophysiological findings in the visual cortex (V1, emphasizing the physical disparities and providing a simple selection method for the complex cell response. The results suggest that our proposed approach can achieve better results than a hybrid model with phase-shift and position-shift using position disparity alone.

  19. InterWell: an integrated school-based primary care model.

    Science.gov (United States)

    Whitehouse, Peter J

    2013-01-01

    The Intergenerational School is an innovative, high-performing public school in Cleveland, Ohio that fosters lifelong learning and individual and community health. Narrative approaches, information technology enhancements, art and music enrichments, and nature-based programming foster brain health in the service of purposeful and healthy living in the community. A newly designed integrated primary and public healthcare model, called InterWell, which is planned to be based in the school, has the potential to transform conceptions and practices of health. Interprofessional care supporting chronic disease self-management and transdisciplinary research are foundational to our model. Over the 13-year history of the school, barriers to acceptance of this model of education and health have been reduced and greater community support engendered, but challenges of priorities and funding remain. Can this new model help support human flourishing in this time of global ecological and social disruption?

  20. Assessing the influence of historic net and gross land changes on the carbon fluxes of Europe.

    Science.gov (United States)

    Fuchs, Richard; Schulp, Catharina J E; Hengeveld, Geerten M; Verburg, Peter H; Clevers, Jan G P W; Schelhaas, Mart-Jan; Herold, Martin

    2016-07-01

    Legacy effects of land cover/use on carbon fluxes require considering both present and past land cover/use change dynamics. To assess past land use dynamics, model-based reconstructions of historic land cover/use are needed. Most historic reconstructions consider only the net area difference between two time steps (net changes) instead of accounting for all area gains and losses (gross changes). Studies about the impact of gross and net land change accounting methods on the carbon balance are still lacking. In this study, we assessed historic changes in carbon in soils for five land cover/use types and of carbon in above-ground biomass of forests. The assessment focused on Europe for the period 1950 to 2010 with decadal time steps at 1-km spatial resolution using a bookkeeping approach. To assess the implications of gross land change data, we also used net land changes for comparison. Main contributors to carbon sequestration between 1950 and 2010 were afforestation and cropland abandonment leading to 14.6 PgC sequestered carbon (of which 7.6 PgC was in forest biomass). Sequestration was highest for old-growth forest areas. A sequestration dip was reached during the 1970s due to changes in forest management practices. Main contributors to carbon emissions were deforestation (1.7 PgC) and stable cropland areas on peaty soils (0.8 PgC). In total, net fluxes summed up to 203 TgC yr(-1) (98 TgC yr(-1) in forest biomass and 105 TgC yr(-1) in soils). For areas that were subject to land changes in both reconstructions (35% of total area), the differences in carbon fluxes were about 68%. Overall for Europe the difference between accounting for either gross or net land changes led to 7% difference (up to 11% per decade) in carbon fluxes with systematically higher fluxes for gross land change data.

  1. DEVELOPING LITERACY LEARNING MODEL BASED ON MULTI LITERACY, INTEGRATED, AND DIFFERENTIATED CONCEPT AT PRIMARY SCHOOL

    Directory of Open Access Journals (Sweden)

    Yunus Abidin

    2017-06-01

    Full Text Available Abstract: The main issue addressed in this research is the low writing skills of primary school students. One of the reasons for this condition is that the existing model of writing literacy learning is not appropriate. The purpose of this study is to explain MID-based literacy teaching model and the impact of the model in increasing primary school students’ writing skills. This study used combined methods of exploratory type. The samples were elementary school students coming from six schools with three different characteristics. Based on the data analysis, it can be concluded that the implementation of MID-based literacy learning model has proven to signi cantly contribute to the improvement of students’ writing skills. Taking place in all sample schools, the improvement may suggest that the model ts not only to students with high- ability but also those with low-ability. Therefore, the MID-based literacy learning model is needed to improve the ability to write various text types appropriately. Keyword: writing literacy ability, literacy learning MID model-based, elementary school PENGEMBANGAN MODEL PEMBELAJARAN LITERASI BERBASIS KONSEP MULTILITERASI, INTEGRATIF, DAN BERDIFERENSIASI (MID DI SEKOLAH DASAR Abstrak: Masalah utama dalam penelitian ini adalah rendahnya kemampuan literasi menulis siswa sekolah dasar. Salah satu penyebab muncul kondisi ini adalah bahwa pembelajaran literasi menulis belum menggunakan model yang tepat. Tujuan penelitian ini adalah untuk memaparkan model literasi menulis berbasis MID dan dampak penerapan model tersebut terhadap peningkatan kemampuan literasi menulis siswa sekolah dasar. Penelitian ini dilaksanakan dengan menggunakan metode kombinasi tipe eksploratori. Sampel penelitiannya adalah siswa sekolah dasar yang berasal dari 6 sekolah dengan tiga karakteristik yang berbeda. Berdasarkan hasil penelitian dapat disimpulkan bahwa model pembelajaran literasi berbasis MID terbukti secara signi kan memiliki

  2. [Structural analysis of the new model of primary care in the community of Valencia].

    Science.gov (United States)

    Compañ, L; Portella, E; Peiró, S

    1996-11-15

    To analyse the structure of the new model of primary care (NMPC) in the Community of Valencia, and to identify the strategic importance of its characteristic variables and the possibilities of intervention to affect these variables. A qualitative study through a method of structural analysis (crossed impact method-multiplication applied to a classification) of the relationships between 37 variables characterising the NMPC which were identified by prior qualitative research, with interpretation of the results using the Téniere-Buchot Model. Community of Valencia. The structural variables identified were those relating to the political-legal framework and to the allocation of primary care resources; and the resultant variables, those relating to efficiency and primary care quality. Between these two categories, the intervention variables covered management, NMPC professionals, health needs and the community's use of services. The structural analysis gives the legal-political and economical framework a determining role in NMPC, which can hardly be influenced from within the system. Management and organisation are identified as key variables from which an intervention can be made in the short or medium term to achieve the aims of the system.

  3. Comparison of primary care models in the prevention of cardiovascular disease - a cross sectional study

    Directory of Open Access Journals (Sweden)

    Hogg William

    2011-10-01

    Full Text Available Abstract Background Primary care providers play an important role in preventing and managing cardiovascular disease. This study compared the quality of preventive cardiovascular care delivery amongst different primary care models. Methods This is a secondary analysis of a larger randomized control trial, known as the Improved Delivery of Cardiovascular Care (IDOCC through Outreach Facilitation. Using baseline data collected through IDOCC, we conducted a cross-sectional study of 82 primary care practices from three delivery models in Eastern Ontario, Canada: 43 fee-for-service, 27 blended-capitation and 12 community health centres with salary-based physicians. Medical chart audits from 4,808 patients with or at high risk of developing cardiovascular disease were used to examine each practice's adherence to ten evidence-based processes of care for diabetes, chronic kidney disease, dyslipidemia, hypertension, weight management, and smoking cessation care. Generalized estimating equation models adjusting for age, sex, rurality, number of cardiovascular-related comorbidities, and year of data collection were used to compare guideline adherence amongst the three models. Results The percentage of patients with diabetes that received two hemoglobin A1c tests during the study year was significantly higher in community health centres (69% than in fee-for-service (45% practices (Adjusted Odds Ratio (AOR = 2.4 [95% CI 1.4-4.2], p = 0.001. Blended capitation practices had a significantly higher percentage of patients who had their waistlines monitored than in fee-for-service practices (19% vs. 5%, AOR = 3.7 [1.8-7.8], p = 0.0006, and who were recommended a smoking cessation drug when compared to community health centres (33% vs. 16%, AOR = 2.4 [1.3-4.6], p = 0.007. Overall, quality of diabetes care was higher in community health centres, while smoking cessation care and weight management was higher in the blended-capitation models. Fee-for-service practices

  4. The primary cilium as sensor of fluid flow: new building blocks to the model

    DEFF Research Database (Denmark)

    Prætorius, Helle

    2015-01-01

    functionally as an organelle that makes cells more susceptible to changes in fluid flow. Thus the primary cilium was suggested to function as a flow-sensing device. This characterization has been substantiated for many epithelial cell types over the years. Nevertheless, part of the central mechanism of signal......The primary cilium is an extraordinary organelle. For many years, it had the full attention of only a few dedicated scientists fascinated by its uniqueness. Unexpectedly, after decades of obscurity, it has moved very quickly into the limelight with the increasing evidence of its central role...... transduction has not been explained, largely because of the substantial technical challenges of working with this delicate organelle. The current review considers the recent advances that allow us to fill some of the holes in the model of signal transduction in cilium-mediated responses to fluid flow...

  5. Sri Lanka's Health Unit Program: A Model of "Selective" Primary Health Care

    Directory of Open Access Journals (Sweden)

    Soma Hewa

    2011-12-01

    Full Text Available This paper argues that the health unit program developed in Sri Lanka in the early twentieth century was an earlier model of selective primary health care promoted by the Rockefeller Foundation in the 1980s in opposition to comprehensive primary health care advocated by the Alma-Ata Declaration of the World Health Organization. A key strategy of the health unit program was to identify the most common and serious infectious diseases in each health unit area and control them through improved sanitation, health education, immunization and treatment with the help of local communities. The health unit program was later introduced to other countries in South and Southeast Asia as part of the Rockefeller Foundation's global campaign to promote public health.

  6. Standardized 3D Bioprinting of Soft Tissue Models with Human Primary Cells.

    Science.gov (United States)

    Rimann, Markus; Bono, Epifania; Annaheim, Helene; Bleisch, Matthias; Graf-Hausner, Ursula

    2016-08-01

    Cells grown in 3D are more physiologically relevant than cells cultured in 2D. To use 3D models in substance testing and regenerative medicine, reproducibility and standardization are important. Bioprinting offers not only automated standardizable processes but also the production of complex tissue-like structures in an additive manner. We developed an all-in-one bioprinting solution to produce soft tissue models. The holistic approach included (1) a bioprinter in a sterile environment, (2) a light-induced bioink polymerization unit, (3) a user-friendly software, (4) the capability to print in standard labware for high-throughput screening, (5) cell-compatible inkjet-based printheads, (6) a cell-compatible ready-to-use BioInk, and (7) standard operating procedures. In a proof-of-concept study, skin as a reference soft tissue model was printed. To produce dermal equivalents, primary human dermal fibroblasts were printed in alternating layers with BioInk and cultured for up to 7 weeks. During long-term cultures, the models were remodeled and fully populated with viable and spreaded fibroblasts. Primary human dermal keratinocytes were seeded on top of dermal equivalents, and epidermis-like structures were formed as verified with hematoxylin and eosin staining and immunostaining. However, a fully stratified epidermis was not achieved. Nevertheless, this is one of the first reports of an integrative bioprinting strategy for industrial routine application.

  7. Detection of gross errors using mixed integer optimization approach in process industry

    Institute of Scientific and Technical Information of China (English)

    MEI Cong-li; SU Hong-ye; CHU Jian

    2007-01-01

    A novel mixed integer linear programming (NMILP) model for detection of gross errors is presented in this paper.Yamamura et al.(1988) designed a model for detection of gross errors and data reconciliation based on Akaike information criterion (AIC). But much computational cost is needed due to its combinational nature. A mixed integer linear programming (MILP)approach was performed to reduce the computational cost and enhance the robustness. But it loses the super performance of maximum likelihood estimation. To reduce the computational cost and have the merit of maximum likelihood estimation, the simultaneous data reconciliation method in an MILP framework is decomposed and replaced by an NMILP subproblem and a quadratic programming (QP) or a least squares estimation (LSE) subproblem. Simulation result of an industrial case shows the high efficiency of the method.

  8. From relativistic quantum fields to condensed matter and back again: Updating the Gross-Neveu phase diagram

    CERN Document Server

    Thies, M

    2006-01-01

    During the last few years, the phase diagram of the large N Gross-Neveu model in 1+1 dimensions at finite temperature and chemical potential has undergone a major revision. Here we present a streamlined account of this development, collecting the most important results. Quasi-one-dimensional condensed matter systems like conducting polymers provide real physical systems which can be approximately described by the Gross-Neveu model and have played some role in establishing its phase structure. The kink-antikink phase found at low temperatures is closely related to inhomogeneous superconductors in the Larkin-Ovchinnikov-Fulde-Ferrell phase. With the complete phase diagram at hand, the Gross-Neveu model can now serve as a firm testing ground for new algorithms and theoretical ideas.

  9. Very low metallicity massive star models: Pre-SN evolution and primary nitrogen production

    CERN Document Server

    Hirschi, R

    2006-01-01

    Two series of models were computed. The first series consists of 20 solar mass models with varying initial metallicity (Z=0.02 down to Z=10^{-8}) and rotation (V_{ini}=0-600 km/s). The second one consists of models with an initial metallicity of Z=10^{-8}, masses between 9 and 85 solar masses and fast initial rotation velocities (V_{ini}=600-800 km/s). The most interesting models are the models with Z=10^{-8} ([Fe/H]~-6.6). In the course of helium burning, carbon and oxygen are mixed into the hydrogen burning shell. This boosts the importance of the shell and causes a reduction of the CO core mass. Later in the evolution, the hydrogen shell deepens and produces large amount of primary nitrogen. For the most massive models (M>~60 solar masses), significant mass loss occurs during the red supergiant stage. This mass loss is due to the surface enrichment in CNO elements via rotational and convective mixing. The 85 solar mass model ends up as a WO type Wolf-Rayet star. Therefore the models predict SNe of type Ic ...

  10. Sink or swim? Geodynamic and petrological model constraints on the fate of Archaean primary crust

    Science.gov (United States)

    Kaus, B.; Johnson, T.; Brown, M.; VanTongeren, J. A.

    2013-12-01

    Ambient mantle potential temperatures in the Archaean were significantly higher than 1500 °C, leading to a high percent of melting and generating thick MgO-rich primary crust underlain by highly residual mantle. However, the preserved volume of this crust is low suggesting much of it was recycled. Here we couple calculated phase equilibria for hydrated and anhydrous low to high MgO crust compositions and their complementary mantle residues with 2-D numerical geodynamic models to investigate lithosphere dynamics in the early Earth. We show that, with increasing ambient mantle potential temperature, the density of primary crust increases more dramatically than the density of residual mantle decreases and the base of MgO-rich primary crust becomes gravitationally unstable with respect to the underlying mantle even when fully hydrated. To study this process we use geodynamic models that include the effects of melt extraction, crust formation and depletion of the mantle in combination with laboratory-constrained dislocation and diffusion creep rheologies for the mantle. The models show that the base of the gravitationally unstable lithosphere delaminates through relatively small-scale Rayleigh-Taylor instabilities, but only if the viscosity of the mantle lithosphere is sufficiently low. Thickening of the crust above upwelling mantle and heating at the base of the crust are the main mechanisms that trigger the delamination process. Scaling laws were developed that are in good agreement with the numerical simulations and show that the key parameters that control the instability are the density contrast between crust and underlying mantle lithosphere, the thickness of the unstable layer and the effective viscosity of the upper mantle. Depending on uncertainties in the melting relations and rheology (hydrous or anhydrous) of the mantle, this process is shown to efficiently recycle the crust above potential temperatures of 1550-1600 °C. However, below these temperatures

  11. Gross Pollutant Traps: Wet Load Assessment at Sungai Kerayong, Malaysia

    Science.gov (United States)

    Mohd Shah, M. R.; Zahari, N. M.; Said, N. F. Md; Sidek, L. M.; Basri, H.; Noor, M. S. F. Md; Husni, M. M. Mohammad; Jajarmizadeh, Milad; Roseli, ZA; Mohd. Dom, N.

    2016-03-01

    The purpose of this project is to carry out assessment on the effectiveness and performance of Gross Pollutant Traps (GPTs) stormwater quality control in the urban areas. The study aims to provide a management and planning tool for effective management of the gross pollutants in the urban areas specifically in River of Life (ROL) project. ROL project is a Malaysian Government initiative under the Economic Transformation Program. One of the program in the greater Klang Valley is to transform Klang River into a vibrant and livable waterfront by the year 2020. The main river in ROL catchment is Sungai Klang (upper catchment), with main tributaries Sungai Gombak, Sungai Batu, Sungai Jinjang, Sungai Keroh, Sungai Bunus, Sungai Ampang and Sungai Kerayong. This paper objective is to study the gross pollutant wet load at Sungai Kerayong 1 and Sungai Kerayong 2 which is located at the downstream location of the ROL project. The result shows that Sungai Kerayong 2 produced higher gross pollutant wet load (8025.33 kg/ha/yr) than Sungai Kerayong 1 (4695.12 kg/ha/yr). This could be due to high contributions amounts of gross pollutant traps from residential area, the degree of develop area, and also the location of the river itself related to climate and rainfall.

  12. Gross efficiency during rowing is not affected by stroke rate.

    Science.gov (United States)

    Hofmijster, Mathijs J; Van Soest, Arthur J; De Koning, Jos J

    2009-05-01

    It has been suggested that the optimal stroke rate in rowing is partly determined by the stroke-rate dependence of internal power losses. This should be reflected in a stroke-rate dependency of gross efficiency (e(gross)). The purpose of this study was to investigate if e(gross) is affected by stroke rate. A second aim was to determine whether internal power losses can be estimated by the negative power output during the stroke cycle (P(negative)). Seventeen well-trained female rowers participated in this study. They rowed three trials on a modified rowing ergometer on slides at a submaximal intensity, with a respiratory exchange ratio of 1 or close to 1. Stroke rates were 28, 34, and 40 strokes per minute. The trials were fully randomized. Power transfer to the flywheel was kept constant whereas e(gross) was determined during each trial. No significant differences in e(gross) were found between conditions. This finding suggests that in rowing internal power losses are not influenced by stroke rate. Furthermore, although P(negative) increased at increasing stroke rate (P measure to estimate internal power losses. This study shows that within the range of stroke rates applied in competitive rowing, internal power losses are unrelated to rowing cycle frequency.

  13. PWSCC Growth Assessment Model Considering Stress Triaxiality Factor for Primary Alloy 600 Components

    Directory of Open Access Journals (Sweden)

    Jong-Sung Kim

    2016-08-01

    Full Text Available We propose a primary water stress corrosion cracking (PWSCC initiation model of Alloy 600 that considers the stress triaxiality factor to apply to finite element analysis. We investigated the correlation between stress triaxiality effects and PWSCC growth behavior in cold-worked Alloy 600 stream generator tubes, and identified an additional stress triaxiality factor that can be added to Garud's PWSCC initiation model. By applying the proposed PWSCC initiation model considering the stress triaxiality factor, PWSCC growth simulations based on the macroscopic phenomenological damage mechanics approach were carried out on the PWSCC growth tests of various cold-worked Alloy 600 steam generator tubes and compact tension specimens. As a result, PWSCC growth behavior results from the finite element prediction are in good agreement with the experimental results.

  14. PWSCC growth assessment model considering stress triaxiality factor for primary alloy 600 components

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jong Sung [Dept. of Nuclear Engineering, Sejong University, Seoul (Korea, Republic of); Kim, Ji Soo; Jeon, Jun Young; Kim, Yun Jae [Dept. of of Mechanical Engineering, Korea University, Seoul (Korea, Republic of)

    2016-08-15

    We propose a primary water stress corrosion cracking (PWSCC) initiation model of Alloy 600 that considers the stress triaxiality factor to apply to finite element analysis. We investigated the correlation between stress triaxiality effects and PWSCC growth behavior in cold-worked Alloy 600 stream generator tubes, and identified an additional stress triaxiality factor that can be added to Garud's PWSCC initiation model. By applying the proposed PWSCC initiation model considering the stress triaxiality factor, PWSCC growth simulations based on the macroscopic phenomenological damage mechanics approach were carried out on the PWSCC growth tests of various cold-worked Alloy 600 steam generator tubes and compact tension specimens. As a result, PWSCC growth behavior results from the finite element prediction are in good agreement with the experimental results.

  15. Computational Model of Primary Visual Cortex Combining Visual Attention for Action Recognition.

    Directory of Open Access Journals (Sweden)

    Na Shu

    Full Text Available Humans can easily understand other people's actions through visual systems, while computers cannot. Therefore, a new bio-inspired computational model is proposed in this paper aiming for automatic action recognition. The model focuses on dynamic properties of neurons and neural networks in the primary visual cortex (V1, and simulates the procedure of information processing in V1, which consists of visual perception, visual attention and representation of human action. In our model, a family of the three-dimensional spatial-temporal correlative Gabor filters is used to model the dynamic properties of the classical receptive field of V1 simple cell tuned to different speeds and orientations in time for detection of spatiotemporal information from video sequences. Based on the inhibitory effect of stimuli outside the classical receptive field caused by lateral connections of spiking neuron networks in V1, we propose surround suppressive operator to further process spatiotemporal information. Visual attention model based on perceptual grouping is integrated into our model to filter and group different regions. Moreover, in order to represent the human action, we consider the characteristic of the neural code: mean motion map based on analysis of spike trains generated by spiking neurons. The experimental evaluation on some publicly available action datasets and comparison with the state-of-the-art approaches demonstrate the superior performance of the proposed model.

  16. Chemokine-Targeted Mouse Models of Human Primary and Metastatic Colorectal Cancer

    Science.gov (United States)

    Chen, Huanhuan Joyce; Sun, Jian; Huang, Zhiliang; Hou, Harry; Arcilla, Myra; Rakhilin, Nikolai; Joe, Daniel J.; Choi, Jiahn; Gadamsetty, Poornima; Milsom, Jeff; Nandakumar, Govind; Longman, Randy; Zhou, Xi Kathy; Edwards, Robert; Chen, Jonlin; Chen, Kai Yuan; Bu, Pengcheng; Wang, Lihua; Xu, Yitian; Munroe, Robert; Abratte, Christian; Miller, Andrew D.; Gümüş, Zeynep H.; Shuler, Michael; Nishimura, Nozomi; Edelmann, Winfried; Shen, Xiling; Lipkin, Steven M.

    2015-01-01

    Current orthotopic xenograft models of human colorectal cancer (CRC) require surgery and do not robustly form metastases in the liver, the most common site clinically. CCR9 traffics lymphocytes to intestine and colorectum. We engineered use of the chemokine receptor CCR9 in CRC cell lines and patient-derived cells to create primary gastrointestinal (GI) tumors in immunodeficient mice by tail-vein injection rather than surgery. The tumors metastasize inducibly and robustly to the liver. Metastases have higher DKK4 and NOTCH signaling levels and are more chemoresistant than paired sub-cutaneous xenografts. Using this approach, we generated 17 chemokine-targeted mouse models (CTMMs) that recapitulate the majority of common human somatic CRC mutations. We also show that primary tumors can be modeled in immunocompetent mice by microinjecting CCR9-expressing cancer cell lines into early-stage mouse blastocysts, which induces central immune tolerance. We expect that CTMMs will facilitate investigation of the biology of CRC metastasis and drug screening. PMID:26006007

  17. Kinetic modeling of primary and secondary oxygen atom fluxes at 1 AU

    Science.gov (United States)

    Balyukin, Igor; Katushkina, Olga; Alexashov, Dmitry; Izmodenov, Vladislav

    2016-07-01

    The first quantitative measurements of the interstellar heavy (oxygen and neon) neutral atoms obtained on the IBEX spacecraft were presented in Park et al. (ApJS, 2015). Qualitative analysis of these data shows that the secondary component of the interstellar oxygen atoms was also measured along with the primary interstellar atoms. This component is formed near the heliopause due to process of charge exchange of interstellar oxygen ions with hydrogen atoms and its existence in the heliosphere was previously predicted theoretically (Izmodenov et al, 1997, 1999, 2001). Quantitative analysis of fluxes of interstellar heavy neutral atoms is only possible with the help of a model which takes into account both filtration of the primary and origin of the secondary interstellar oxygen in the region of interaction of the solar wind with the local interstellar medium as well as a detailed simulation of the motion of interstellar atoms inside the heliosphere. This simulation must take into account the temporal and heliolatitudinal dependences of ionization, the process of charge exchange with the protons of the solar wind and the effect of the solar gravitational attraction. This paper presents the results of modeling interstellar oxygen and neon atoms in the heliospheric shock layer and inside the heliosphere based on a new three-dimensional kinetic-MHD model of the solar wind interaction with the local interstellar medium (Izmodenov and Alexashov, ApJS, 2015) and the comparison of this results with the data obtained on the IBEX spacecraft.

  18. Transcriptional changes in sensory ganglia associated with primary afferent axon collateral sprouting in spared dermatome model

    Directory of Open Access Journals (Sweden)

    Benjamin J. Harrison

    2015-12-01

    Full Text Available Primary afferent collateral sprouting is a process whereby non-injured primary afferent neurons respond to some stimulus and extend new branches from existing axons. Neurons of both the central and peripheral nervous systems undergo this process, which contributes to both adaptive and maladaptive plasticity (e.g., [1–9]. In the model used here (the “spared dermatome” model, the intact sensory neurons respond to the denervation of adjacent areas of skin by sprouting new axon branches into that adjacent denervated territory. Investigations of gene expression changes associated with collateral sprouting can provide a better understanding of the molecular mechanisms controlling this process. Consequently, it can be used to develop treatments to promote functional recovery for spinal cord injury and other similar conditions. This report includes raw gene expression data files from microarray experiments in order to study the gene regulation in spared sensory ganglia in the initiation (7 days and maintenance (14 days phases of the spared dermatome model relative to intact (“naïve” sensory ganglia. Data has been deposited into GEO (GSE72551.

  19. A Primary Human Critical Success Factors Model for the ERP System Implementation

    Directory of Open Access Journals (Sweden)

    Jenko Aleksander

    2016-08-01

    Full Text Available Background and Purpose: Many researchers have investigated various Critical success factors (CSFs and the different causes of ERP implementation project failures. Despite a detailed literature preview, we were unable to find an appropriate research with a comprehensive overview of the true causes behind CSFs, observed from a human factors perspective. The objective of this research was therefore to develop and evaluate the Primary human factors (PHFs model and to confirm the significant impact of PHFs on traditional CSFs and on the project success.

  20. Switch Based Opportunistic Spectrum Access for General Primary User Traffic Model

    KAUST Repository

    Gaaloul, Fakhreddine

    2012-06-18

    This letter studies cognitive radio transceiver that can opportunistically use the available channels of primary user (PU). Specifically, we investigate and compare two different opportunistic channel access schemes. The first scheme applies when the secondary user (SU) has access to only one channel. The second scheme, based on channel switching mechanism, applies when the SU has access to multiple channels but can at a given time monitor and access only one channel. For these access schemes, we derive the exact analytical results for the novel performance metrics of average access time and average waiting time under general PU traffic models.

  1. Drivers and uncertainties of future global marine primary production in marine ecosystem models

    Directory of Open Access Journals (Sweden)

    C. Laufkötter

    2015-02-01

    Full Text Available Past model studies have projected a global decrease in marine net primary production (NPP over the 21st century, but these studies focused on the multi-model mean and mostly ignored the large inter-model differences. Here, we analyze model simulated changes of NPP for the 21st century under IPCC's high emission scenario RCP8.5 using a suite of nine coupled carbon–climate Earth System Models with embedded marine ecosystem models with a focus on the spread between the different models and the underlying reasons. Globally, five out of the nine models show a decrease in NPP over the course of the 21st century, while three show no significant trend and one even simulates an increase. The largest model spread occurs in the low latitudes (between 30° S and 30° N, with individual models simulating relative changes between −25 and +40%. In this region, the inter-quartile range of the differences between the 2012–2031 average and the 2081–2100 average is up to 3 mol C m-2 yr-1. These large differences in future change mirror large differences in present day NPP. Of the seven models diagnosing a net decrease in NPP in the low latitudes, only three simulate this to be a consequence of the classical interpretation, i.e., a stronger nutrient limitation due to increased stratification and reduced upwelling. In the other four, warming-induced increases in phytoplankton growth outbalance the stronger nutrient limitation. However, temperature-driven increases in grazing and other loss processes cause a net decrease in phytoplankton biomass and reduces NPP despite higher growth rates. One model projects a strong increase in NPP in the low latitudes, caused by an intensification of the microbial loop, while the remaining model simulates changes of less than 0.5%. While there is more consistency in the modeled increase in NPP in the Southern Ocean, the regional inter-model range is also very substantial. In most models, this increase in NPP is driven by

  2. Modelling multiple hospital outcomes: the impact of small area and primary care practice variation

    Directory of Open Access Journals (Sweden)

    Congdon Peter

    2006-11-01

    Full Text Available Abstract Background: Appropriate management of care – for example, avoiding unnecessary attendances at, or admissions to, hospital emergency units when they could be handled in primary care – is an important part of health strategy. However, some variations in these outcomes could be due to genuine variations in health need. This paper proposes a new method of explaining variations in hospital utilisation across small areas and the general practices (GPs responsible for patient primary care. By controlling for the influence of true need on such variations, one may identify remaining sources of excess emergency attendances and admissions, both at area and practice level, that may be related to the quality, resourcing or organisation of care. The present paper accordingly develops a methodology that recognises the interplay between population mix factors (health need and primary care factors (e.g. referral thresholds, that allows for unobserved influences on hospitalisation usage, and that also reflects interdependence between hospital outcomes. A case study considers relativities in attendance and admission rates at a North London hospital involving 149 small areas and 53 GP practices. Results: A fixed effects model shows variations in attendances and admissions are significantly related (positively to area and practice need, and nursing home patients, and related (negatively to primary care access and distance of patient homes from the hospital. Modelling the impact of known factors alone is not sufficient to produce a satisfactory fit to the observations, and random effects at area and practice level are needed to improve fit and account for overdispersion. Conclusion: The case study finds variation in attendance and admission rates across areas and practices after controlling for need, and remaining differences between practices may be attributable to referral behaviour unrelated to need, or to staffing, resourcing, and access issues. In

  3. Clinical data integration model. Core interoperability ontology for research using primary care data.

    Science.gov (United States)

    Ethier, J-F; Curcin, V; Barton, A; McGilchrist, M M; Bastiaens, H; Andreasson, A; Rossiter, J; Zhao, L; Arvanitis, T N; Taweel, A; Delaney, B C; Burgun, A

    2015-01-01

    This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems". Primary care data is the single richest source of routine health care data. However its use, both in research and clinical work, often requires data from multiple clinical sites, clinical trials databases and registries. Data integration and interoperability are therefore of utmost importance. TRANSFoRm's general approach relies on a unified interoperability framework, described in a previous paper. We developed a core ontology for an interoperability framework based on data mediation. This article presents how such an ontology, the Clinical Data Integration Model (CDIM), can be designed to support, in conjunction with appropriate terminologies, biomedical data federation within TRANSFoRm, an EU FP7 project that aims to develop the digital infrastructure for a learning healthcare system in European Primary Care. TRANSFoRm utilizes a unified structural / terminological interoperability framework, based on the local-as-view mediation paradigm. Such an approach mandates the global information model to describe the domain of interest independently of the data sources to be explored. Following a requirement analysis process, no ontology focusing on primary care research was identified and, thus we designed a realist ontology based on Basic Formal Ontology to support our framework in collaboration with various terminologies used in primary care. The resulting ontology has 549 classes and 82 object properties and is used to support data integration for TRANSFoRm's use cases. Concepts identified by researchers were successfully expressed in queries using CDIM and pertinent terminologies. As an example, we illustrate how, in TRANSFoRm, the Query Formulation Workbench can capture eligibility criteria in a computable representation, which is based on CDIM. A unified mediation approach to semantic interoperability provides a

  4. Gross municipal product: the design procedure and application

    Directory of Open Access Journals (Sweden)

    Dmitry Vasilevich Kolechkov

    2012-12-01

    Full Text Available The article is devoted to the actual problem to find the adequate methods to assess the economic performance of municipalities conditioned by their growing independence and role in the development of regional economy. Nowadays many researchers are working on the practical application and testing of various approaches to assessing theterritory economicresults based on thecalculation of gross municipal product (GМP. However, the development of methodological reasonable calculation tools is still at an early stage. In this article presents a simplified method of calculating the gross municipal product, an analysis of the dynamics and territorialindustrial structure GМP, implemented in terms of grouping areas GМP methods hierarchical cluster analysis of the economic characteristics of the obtained clustersbased on systematic occurring in the economic literature, methodological developments in the calculation of gross municipal product, determination of strengths and weaknesses of different methodological approaches

  5. Anatomy of the Gross Intestine of the Capybara (Hydrochoerus Hydrochaeris

    Directory of Open Access Journals (Sweden)

    Noelia Vazquez

    2012-01-01

    Full Text Available Problem statement: The anatomy of the gross intestine and its mesentery of the capybara (Hydrochoerus hydrochaeris have not been described completely. Approach: In the present study, eight adult capybaras were studied using gross dissection. Results: The cecum was the largest part of the intestine and was divided into base, body and apex. The cecocolic fold joined the cecum to the full extent of the proximal loop of ascending colon. The ascending colon was divided into two ansae, one proximal and one distal or spiral. The distal ansa had a spiral arrangement and was placed cranially to the right, covered ventrally by the apex of the cecum. This ansa had a centripetal gyrus to the left, a central flexure and a centrifugal gyrus turning to the right that was continuous with the transverse colon in the right colic flexure. Conclusion: The gross intestine of the capybara was different to other previously studied rodents.

  6. Potato production in Europe - a gross margin analysis

    DEFF Research Database (Denmark)

    Pedersen, Søren Marcus; Bizik, Jan; Costa, Luisa Dalla;

    The purpose of this paper is to examine different cropping practices, cost structures and gross margins for producing conventional table potatoes in 6 different regions within the European Union: Czech Republic, Denmark, Italy, Poland, Portugal and Slovakia. Findings from this study show that pot......The purpose of this paper is to examine different cropping practices, cost structures and gross margins for producing conventional table potatoes in 6 different regions within the European Union: Czech Republic, Denmark, Italy, Poland, Portugal and Slovakia. Findings from this study show...... that potato cropping practices varies signifi-cantly between these countries with major differences in yields and costs. Italy and Denmark are the two regions with highest gross margins due to high yields and reve-nues. Poland is by far the largest potato producing country among the 6 countries ex...

  7. The explanatory models of depression and anxiety in primary care: a qualitative study from India

    Directory of Open Access Journals (Sweden)

    Andrew Gracy

    2012-09-01

    Full Text Available Abstract Background The biggest barrier to treatment of common mental disorders in primary care settings is low recognition among health care providers. This study attempts to explore the explanatory models of common mental disorders (CMD with the goal of identifying how they could help in improving the recognition, leading to effective treatment in primary care. Results The paper describes findings of a cross sectional qualitative study nested within a large randomized controlled trial (the Manas trial. Semi structured interviews were conducted with 117 primary health care attendees (30 males and 87 females suffering from CMD. Main findings of the study are that somatic phenomena were by far the most frequent presenting problems; however, psychological phenomena were relatively easily elicited on probing. Somatic phenomena were located within a biopsychosocial framework, and a substantial proportion of informants used the psychological construct of ‘tension’ or ‘worry’ to label their illness, but did not consider themselves as suffering from a ‘mental disorder’. Very few gender differences were observed in the descriptions of symptoms but at the same time the pattern of adverse life events and social difficulties varied across gender. Conclusion Our study demonstrates how people present their illness through somatic complaints but clearly link their illness to their psychosocial world. However they do not associate their illness to a ‘mental disorder’ and this is an important phenomenon that needs to be recognized in management of CMD in primary settings. Our study also elicits important gender differences in the experience of CMD.

  8. Re-orienting a remote acute care model towards a primary health care approach: key enablers.

    Science.gov (United States)

    Carroll, Vicki; Reeve, Carole A; Humphreys, John S; Wakerman, John; Carter, Maureen

    2015-01-01

    The objective of this study was to identify the key enablers of change in re-orienting a remote acute care model to comprehensive primary healthcare delivery. The setting of the study was a 12-bed hospital in Fitzroy Crossing, Western Australia. Individual key informant, in-depth interviews were completed with five of six identified senior leaders involved in the development of the Fitzroy Valley Health Partnership. Interviews were recorded and transcripts were thematically analysed by two investigators for shared views about the enabling factors strengthening primary healthcare delivery in a remote region of Australia. Participants described theestablishment of a culturally relevant primary healthcare service, using a community-driven, 'bottom up' approach characterised by extensive community participation. The formal partnership across the government and community controlled health services was essential, both to enable change to occur and to provide sustainability in the longer term. A hierarchy of major themes emerged. These included community participation, community readiness and desire for self-determination; linkages in the form of a government community controlled health service partnership; leadership; adequate infrastructure; enhanced workforce supply; supportive policy; and primary healthcare funding. The strong united leadership shown by the community and the health service enabled barriers to be overcome and it maximised the opportunities provided by government policy changes. The concurrent alignment around a common vision enabled implementation of change. The key principle learnt from this study is the importance of community and health service relationships and local leadership around a shared vision for the re-orientation of community health services.

  9. Changes in Aβ non-nociceptive primary sensory neurons in a rat model of osteoarthritis pain

    Directory of Open Access Journals (Sweden)

    Henry James L

    2010-07-01

    Full Text Available Abstract Background Pain is a major debilitating factor in osteoarthritis (OA, yet few mechanism-based therapies are available. To address the need to understand underlying mechanisms the aim of the present study was to determine changes in sensory neurons in an animal model of OA pain. Results The model displayed typical osteoarthritis pathology characterized by cartilage degeneration in the knee joint and also manifested knee pathophysiology (edema and increased vasculature permeability of the joint and altered nociception of the affected limb (hind paw tenderness and knee articulation-evoked reduction in the tail flick latency. Neurons included in this report innervated regions throughout the entire hind limb. Aβ-fiber low threshold mechanoreceptors exhibited a slowing of the dynamics of action potential (AP genesis, including wider AP duration and slower maximum rising rate, and muscle spindle neurons were the most affected subgroup. Only minor AP configuration changes were observed in either C- or Aδ-fiber nociceptors. Conclusion Thus, at one month after induction of the OA model Aβ-fiber low threshold mechanoreceptors but not C- or Aδ-fiber nociceptors had undergone changes in electrophysiological properties. If these changes reflect a change in functional role of these neurons in primary afferent sensory processing, then Aβ-fiber non-nociceptive primary sensory neurons may be involved in the pathogenesis of OA pain. Further, it is important to point out that the patterns of the changes we observed are consistent with observations in models of peripheral neuropathy but not models of peripheral inflammation.

  10. A survey of gross alpha and gross beta activity in soil samples in Kinta District, Perak, Malaysia.

    Science.gov (United States)

    Lee, Siak Kuan; Wagiran, Husin; Ramli, Ahmad Termizi

    2014-12-01

    The objective of this study was to determine the gross alpha and gross beta activity concentrations from the different soil types found in the Kinta District, Perak, Malaysia. A total of 128 soil samples were collected and their dose rates were measured 1 m above the ground. Gross alpha and gross beta activity measurements were carried out using gas flow proportional counter, Tennelec Series 5 LB5500 Automatic Low Background Counting System. The alpha activity concentration ranged from 15 to 9634 Bq kg(-1) with a mean value of 1558±121 Bq kg(-1). The beta activity concentration ranged from 142 to 6173 Bq kg(-1) with a mean value of 1112±32 Bq kg(-1). High alpha and beta activity concentrations are from the same soil type. The results of the analysis show a strong correlation between the gross alpha activity concentration and dose rate (R = 0.92). The data obtained can be used as a database for each soil type.

  11. Ludwik Gross, Sarah Stewart, and the 1950s discoveries of Gross murine leukemia virus and polyoma virus.

    Science.gov (United States)

    Morgan, Gregory J

    2014-12-01

    The Polish-American scientist Ludwik Gross made two important discoveries in the early 1950s. He showed that two viruses - murine leukemia virus and parotid tumor virus - could cause cancer when they were injected into susceptible animals. At first, Gross's discoveries were greeted with skepticism: it seemed implausible that viruses could cause a disease as complex as cancer. Inspired by Gross's initial experiments, similar results were obtained by Sarah Stewart and Bernice Eddy who later renamed the parotid tumor virus SE polyoma virus after finding it could cause many different types of tumors in mice, hamsters, and rats. Eventually the "SE" was dropped and virologists adopted the name "polyoma virus." After Gross's work was published, additional viruses capable of causing solid tumors or blood-borne tumors in mice were described by Arnold Graffi, Charlotte Friend, John Moloney and others. By 1961, sufficient data had been accumulated for Gross to confidently publish an extensive monograph--Oncogenic Viruses--the first history of tumor virology, which became a standard reference work and marked the emergence of tumor virology as a distinct, legitimate field of study. Copyright © 2014 Elsevier Ltd. All rights reserved.

  12. A small-world-based population encoding model of the primary visual cortex.

    Science.gov (United States)

    Shi, Li; Niu, Xiaoke; Wan, Hong; Shang, Zhigang; Wang, Zhizhong

    2015-06-01

    A wide range of evidence has shown that information encoding performed by the visual cortex involves complex activities of neuronal populations. However, the effects of the neuronal connectivity structure on the population's encoding performance remain poorly understood. In this paper, a small-world-based population encoding model of the primary visual cortex (V1) is established on the basis of the generalized linear model (GLM) to describe the computation of the neuronal population. The model mainly consists of three sets of filters, including a spatiotemporal stimulus filter, a post-spike history filter, and a set of coupled filters with the coupling neurons organizing as a small-world network. The parameters of the model were fitted with neuronal data of the rat V1 recorded with a micro-electrode array. Compared to the traditional GLM, without considering the small-world structure of the neuronal population, the proposed model was proved to produce more accurate spiking response to grating stimuli and enhance the capability of the neuronal population to carry information. The comparison results proved the validity of the proposed model and further suggest the role of small-world structure in the encoding performance of local populations in V1, which provides new insights for understanding encoding mechanisms of a small scale population in visual system.

  13. 29 CFR 779.259 - What is included in annual gross volume.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 3 2010-07-01 2010-07-01 false What is included in annual gross volume. 779.259 Section... Coverage Annual Gross Volume of Sales Made Or Business Done § 779.259 What is included in annual gross volume. (a) The annual gross volume of sales made or business done of an enterprise consists of its...

  14. 29 CFR 794.122 - Ascertainment of “annual” gross sales volume.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 3 2010-07-01 2010-07-01 false Ascertainment of âannualâ gross sales volume. 794.122... Annual Gross Volume of Sales § 794.122 Ascertainment of “annual” gross sales volume. The annual gross volume of sales of an enterprise engaged in the wholesale or bulk distribution of petroleum...

  15. Happy Life Years: a measure of Gross National Happiness

    OpenAIRE

    Veenhoven, Ruut

    2004-01-01

    textabstractHappiness is defined as the degree to which a person enjoys his or her life-as-a-whole. Accordingly ‘Gross National Happiness’ is defined as the degree to which citizens in a country enjoy the life they live. Individual happiness can be measured by self-report on a single standard question. Hence Gross National Happiness can be measured by the average response to such questions in general populations surveys. Survey data on average self-report of happiness can be combined with est...

  16. The Impact of Investments and Gross Value Added upon Earnings

    Directory of Open Access Journals (Sweden)

    Larisa APARASCHIVEI

    2011-02-01

    Full Text Available In this paper we tried to capture the impact of investments and gross value added, but also the impact of the employment on the average wage. The analysis refers to the period 1998- 2008 and we are using data on the activities of the Romanian economy. The results of this study confirm the negative influence of the employment, being consistent with the theory. Also, the impact of investments and that of gross value added came out to be positive and significant.

  17. An evidence-based health workforce model for primary and community care

    Directory of Open Access Journals (Sweden)

    Leach Matthew J

    2011-08-01

    Full Text Available Abstract Background The delivery of best practice care can markedly improve clinical outcomes in patients with chronic disease. While the provision of a skilled, multidisciplinary team is pivotal to the delivery of best practice care, the occupational or skill mix required to deliver this care is unclear; it is also uncertain whether such a team would have the capacity to adequately address the complex needs of the clinic population. This is the role of needs-based health workforce planning. The objective of this article is to describe the development of an evidence-informed, needs-based health workforce model to support the delivery of best-practice interdisciplinary chronic disease management in the primary and community care setting using diabetes as a case exemplar. Discussion Development of the workforce model was informed by a strategic review of the literature, critical appraisal of clinical practice guidelines, and a consensus elicitation technique using expert multidisciplinary clinical panels. Twenty-four distinct patient attributes that require unique clinical competencies for the management of diabetes in the primary care setting were identified. Patient attributes were grouped into four major themes and developed into a conceptual model: the Workforce Evidence-Based (WEB planning model. The four levels of the WEB model are (1 promotion, prevention, and screening of the general or high-risk population; (2 type or stage of disease; (3 complications; and (4 threats to self-care capacity. Given the number of potential combinations of attributes, the model can account for literally millions of individual patient types, each with a distinct clinical team need, which can be used to estimate the total health workforce requirement. Summary The WEB model was developed in a way that is not only reflective of the diversity in the community and clinic populations but also parsimonious and clear to present and operationalize. A key feature of the

  18. A cancer stem cell model for studying brain metastases from primary lung cancer.

    Science.gov (United States)

    Nolte, Sara M; Venugopal, Chitra; McFarlane, Nicole; Morozova, Olena; Hallett, Robin M; O'Farrell, Erin; Manoranjan, Branavan; Murty, Naresh K; Klurfan, Paula; Kachur, Edward; Provias, John P; Farrokhyar, Forough; Hassell, John A; Marra, Marco; Singh, Sheila K

    2013-04-17

    Brain metastases are most common in adults with lung cancer, predicting uniformly poor patient outcome, with a median survival of only months. Despite their frequency and severity, very little is known about tumorigenesis in brain metastases. We applied previously developed primary solid tumor-initiating cell models to the study of brain metastases from the lung to evaluate the presence of a cancer stem cell population. Patient-derived brain metastases (n = 20) and the NCI-H1915 cell line were cultured as stem-enriching tumorspheres. We used in vitro limiting-dilution and sphere-forming assays, as well as intracranial human-mouse xenograft models. To determine genes overexpressed in brain metastasis tumorspheres, we performed comparative transcriptome analysis. All statistical analyses were two-sided. Patient-derived brain metastasis tumorspheres had a mean sphere-forming capacity of 33 spheres/2000 cells (SD = 33.40) and median stem-cell frequency of 1/60 (range = 0-1/141), comparable to that of primary brain tumorspheres (P = .53 and P = .20, respectively). Brain metastases also expressed CD15 and CD133, markers suggestive of a stemlike population. Through intracranial xenotransplantation, brain metastasis tumorspheres were found to recapitulate the original patient tumor heterogeneity. We also identified several genes overexpressed in brain metastasis tumorspheres as statistically significant predictors of poor survival in primary lung cancer. For the first time, we demonstrate the presence of a stemlike population in brain metastases from the lung. We also show that NCI-H1915 tumorspheres could be useful in studying self-renewal and tumor initiation in brain metastases. Our candidate genes may be essential to metastatic stem cell populations, where pathway interference may be able to transform a uniformly fatal disease into a more localized and treatable one.

  19. Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Peijuan; Xie, Donghui; Zhou, Yuyu; E, Youhao; Zhu, Qijiang

    2014-01-16

    The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable. It is a challenging and sustaining job to keep the ecological structure and improve its ecological function. Net primary productivity (NPP) modeling can help to improve the understanding of the ecosystem, and therefore, improve ecological efficiency. The boreal ecosystem productivity simulator (BEPS) model provides the possibility of NPP modeling in terrestrial ecosystem, but it has some limitations for application in arid and semi-arid regions. In this paper we improve the BEPS model, in terms of its water cycle by adding the processes of infiltration and surface runoff, to be applicable in arid and semi-arid regions. We model the NPP of forest, grass, and crop in Gansu Province as an experimental area in Northwest China in 2003 using the improved BEPS model, parameterized with moderate resolution remote sensing imageries and meteorological data. The modeled NPP using improved BEPS agrees better with the ground measurements in Qilian Mountain than that with original BEPS, with a higher R2 of 0.746 and lower root mean square error (RMSE) of 46.53 gC/m2 compared to R2 of 0.662 and RMSE of 60.19 gC/m2 from original BEPS. The modeled NPP of three vegetation types using improved BEPS show evident differences compared to that using original BEPS, with the highest difference ratio of 9.21% in forest and the lowest value of 4.29% in crop. The difference ratios between different vegetation types lie on the dependence on natural water sources. The modeled NPP in five geographic zones using improved BEPS are higher than those with original BEPS, with higher difference ratio in dry zones and lower value in wet zones.

  20. An evaluation of gender equity in different models of primary care practices in Ontario

    Directory of Open Access Journals (Sweden)

    Russell Grant

    2010-03-01

    Full Text Available Abstract Background The World Health Organization calls for more work evaluating the effect of health care reforms on gender equity in developed countries. We performed this evaluation in Ontario, Canada where primary care models resulting from reforms co-exist. Methods This cross sectional study of primary care practices uses data collected in 2005-2006. Healthcare service models included in the study consist of fee for service (FFS based, salaried, and capitation based. We compared the quality of care delivered to women and men in practices of each model. We performed multi-level, multivariate regressions adjusting for patient socio-demographic and economic factors to evaluate vertical equity, and adjusting for these and health factors in evaluating horizontal equity. We measured seven dimensions of health service delivery (e.g. accessibility and continuity and three dimensions of quality of care using patient surveys (n = 5,361 and chart abstractions (n = 4,108. Results Health service delivery measures were comparable in women and men, with differences ≤ 2.2% in all seven dimensions and in all models. Significant gender differences in the health promotion subjects addressed were observed. Female specific preventive manoeuvres were more likely to be performed than other preventive care. Men attending FFS practices were more likely to receive influenza immunization than women (Adjusted odds ratio: 1.75, 95% confidence intervals (CI 1.05, 2.92. There was no difference in the other three prevention indicators. FFS practices were also more likely to provide recommended care for chronic diseases to men than women (Adjusted difference of -11.2%, CI -21.7, -0.8. A similar trend was observed in Community Health Centers (CHC. Conclusions The observed differences in the type of health promotion subjects discussed are likely an appropriate response to the differential healthcare needs between genders. Chronic disease care is non equitable in FFS but

  1. A novel differential diagnostic model for multiple primary lung cancer: Differentially-expressed gene analysis of multiple primary lung cancer and intrapulmonary metastasis

    OpenAIRE

    Chen, Dali; Mei, Longyong; Zhou, Yubin; Shen, Cheng; Xu, Huan; NIU, ZHONGXI; Che, Guowei

    2015-01-01

    The incidence of synchronous multiple primary lung cancer (MPLC) is increasing. However, present diagnostic methods are unable to satisfy the individualized treatment requirements of patients with MPLC. The present study aimed to establish a quantitative mathematical model and analyze its diagnostic value for distinguishing between MPLC and cases of the histologically similar disease, intrapulmonary metastasis (IPM). The sum value of the differential expression ratios of four proteins, namely...

  2. Analytical dispersion model for the chain of primary and secondary air pollutants released from point source

    Science.gov (United States)

    Juodis, Laurynas; Filistovič, Vitold; Maceika, Evaldas; Remeikis, Vidmantas

    2016-03-01

    An analytical model for dispersion of air pollutants released from a point source forming a secondary pollutant (e.g. chemical transformation or parent-daughter radionuclide chain) is formulated considering the constant wind speed and eddy diffusivities as an explicit function of downwind distance from the source in Cauchy (reflection-deposition type) boundary conditions. The dispersion of pollutants has been investigated by using the Gaussian plume dispersion parameters σy and σz instead of the diffusivity parameters Ky and Kz. For primary pollutant it was proposed to use the derived dry deposition factor instead of the source depletion alternative. An analytical solution for steady-state two-dimensional pollutant transport in the atmosphere is presented. Derived formulas include dependency from effective release height, gravitational and dry deposition velocities of primary and secondary pollutants, advection, surface roughness length and empirical dispersion parameters σy and σz. Demonstration of analytical solution application is provided by calculation of 135Xe and 135C air activity concentrations and the applicability of the model for the solution of atmospheric pollution transport problems.

  3. [Application of the cultural competence model in the experience of care in nursing professionals Primary Care].

    Science.gov (United States)

    Gil Estevan, María Dolores; Solano Ruíz, María Del Carmen

    2017-06-10

    To know the experiences and perceptions of nurses in providing care and health promotion, women belonging to groups at risk of social vulnerability, applying the model of cultural competence Purnell. Phenomenological qualitative study. Department of Health Elda. A total of 22 primary care professional volunteers. Semi-structured interviews and focus groups with recording and content analysis, according to the theory model of cultural competence. Socio-cultural factors influence the relationship between professionals and users of the system. The subtle racism and historical prejudices create uncomfortable situations and mistrust. The language barrier makes it difficult not only communication, but also the monitoring and control of the health-disease process. The physical appearance and stereotypes are determining factors for primary care professionals. Although perceived misuse of health services are also talking about changes. The spiritual aspects of religious beliefs alone are taken into account in the case of Muslim women, not being considered as important in the case of Gypsy women and Romanian women. To provide quality care, consistent and culturally competent, it is necessary to develop training programs for professionals in cultural competence, to know the culture of other, and work without preconceived ideas, and ethnocentric; since the greater the knowledge of the cultural group being served, the better the quality of care provided. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

  4. Primary esophageal and gastro-esophageal junction cancer xenograft models: clinicopathological features and engraftment.

    Science.gov (United States)

    Dodbiba, Lorin; Teichman, Jennifer; Fleet, Andrew; Thai, Henry; Sun, Bin; Panchal, Devang; Patel, Devalben; Tse, Alvina; Chen, Zhuo; Faluyi, Olusola O; Renouf, Daniel J; Girgis, Hala; Bandarchi, Bizhan; Schwock, Joerg; Xu, Wei; Bristow, Robert G; Tsao, Ming-Sound; Darling, Gail E; Ailles, Laurie E; El-Zimaity, Hala; Liu, Geoffrey

    2013-04-01

    There are very few xenograft models available for the study of esophageal (E) and gastro-esophageal junction (GEJ) cancer. Using a NOD/SCID model, we implanted 90 primary E and GEJ tumors resected from patients and six endoscopic biopsy specimens. Of 69 resected tumors with histologically confirmed viable adenocarcinoma or squamous cell carcinoma, 22 (32%) was engrafted. One of 11 tumors, considered to have had a complete pathological response to neo-adjuvant chemo-radiation, also engrafted. Of the 23 patients whose tumors were engrafted, 65% were male; 30% were early stage while 70% were late stage; 22% received neo-adjuvant chemo-radiation; 61% were GEJ cancers. Engraftment occurred in 18/54 (33%) adenocarcinomas and 5/16 (31%) squamous cell carcinomas. Small endoscopic biopsy tissue had a 50% (3/6) engraftment rate. Of the factors analyzed, pretreatment with chemo-radiation and well/moderate differentiation showed significantly lower correlation with engraftment (P<0.05). In the subset of patients who did not receive neo-adjuvant chemo-radiation, 18/41 (44%) engrafted compared with those with pretreatment where 5/29 (17%, P=0.02) engrafted. Primary xenograft lines may be continued through 4-12 passages. Xenografts maintained similar histology and morphological characteristics with only minor variations even after multiple passaging in most instances.

  5. The universal fuzzy Logical framework of neural circuits and its application in modeling primary visual cortex

    Institute of Scientific and Technical Information of China (English)

    HU Hong; LI Su; WANG YunJiu; QI XiangLin; SHI ZhongZhi

    2008-01-01

    Analytical study of large-scale nonlinear neural circuits is a difficult task. Here we analyze the function of neural systems by probing the fuzzy logical framework of the neural cells' dynamical equations. Al-though there is a close relation between the theories of fuzzy logical systems and neural systems and many papers investigate this subject, most investigations focus on finding new functions of neural systems by hybridizing fuzzy logical and neural system. In this paper, the fuzzy logical framework of neural cells is used to understand the nonlinear dynamic attributes of a common neural system by abstracting the fuzzy logical framework of a neural cell. Our analysis enables the educated design of network models for classes of computation. As an example, a recurrent network model of the primary visual cortex has been built and tested using this approach.

  6. The universal fuzzy logical framework of neural circuits and its application in modeling primary visual cortex

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Analytical study of large-scale nonlinear neural circuits is a difficult task. Here we analyze the function of neural systems by probing the fuzzy logical framework of the neural cells’ dynamical equations. Al- though there is a close relation between the theories of fuzzy logical systems and neural systems and many papers investigate this subject, most investigations focus on finding new functions of neural systems by hybridizing fuzzy logical and neural system. In this paper, the fuzzy logical framework of neural cells is used to understand the nonlinear dynamic attributes of a common neural system by abstracting the fuzzy logical framework of a neural cell. Our analysis enables the educated design of network models for classes of computation. As an example, a recurrent network model of the primary visual cortex has been built and tested using this approach.

  7. The universal fuzzy logical framework of neural circuits and its application in modeling primary visual cortex.

    Science.gov (United States)

    Hu, Hong; Li, Su; Wang, YunJiu; Qi, XiangLin; Shi, ZhongZhi

    2008-10-01

    Analytical study of large-scale nonlinear neural circuits is a difficult task. Here we analyze the function of neural systems by probing the fuzzy logical framework of the neural cells' dynamical equations. Although there is a close relation between the theories of fuzzy logical systems and neural systems and many papers investigate this subject, most investigations focus on finding new functions of neural systems by hybridizing fuzzy logical and neural system. In this paper, the fuzzy logical framework of neural cells is used to understand the nonlinear dynamic attributes of a common neural system by abstracting the fuzzy logical framework of a neural cell. Our analysis enables the educated design of network models for classes of computation. As an example, a recurrent network model of the primary visual cortex has been built and tested using this approach.

  8. Primary Retinal Cultures as a Tool for Modeling Diabetic Retinopathy: An Overview

    Science.gov (United States)

    Varano, Monica; Mallozzi, Cinzia; Gaddini, Lucia; Formisano, Giuseppe; Pricci, Flavia

    2015-01-01

    Experimental models of diabetic retinopathy (DR) have had a crucial role in the comprehension of the pathophysiology of the disease and the identification of new therapeutic strategies. Most of these studies have been conducted in vivo, in animal models. However, a significant contribution has also been provided by studies on retinal cultures, especially regarding the effects of the potentially toxic components of the diabetic milieu on retinal cell homeostasis, the characterization of the mechanisms on the basis of retinal damage, and the identification of potentially protective molecules. In this review, we highlight the contribution given by primary retinal cultures to the study of DR, focusing on early neuroglial impairment. We also speculate on possible themes into which studies based on retinal cell cultures could provide deeper insight. PMID:25688355

  9. Primary Retinal Cultures as a Tool for Modeling Diabetic Retinopathy: An Overview

    Directory of Open Access Journals (Sweden)

    Andrea Matteucci

    2015-01-01

    Full Text Available Experimental models of diabetic retinopathy (DR have had a crucial role in the comprehension of the pathophysiology of the disease and the identification of new therapeutic strategies. Most of these studies have been conducted in vivo, in animal models. However, a significant contribution has also been provided by studies on retinal cultures, especially regarding the effects of the potentially toxic components of the diabetic milieu on retinal cell homeostasis, the characterization of the mechanisms on the basis of retinal damage, and the identification of potentially protective molecules. In this review, we highlight the contribution given by primary retinal cultures to the study of DR, focusing on early neuroglial impairment. We also speculate on possible themes into which studies based on retinal cell cultures could provide deeper insight.

  10. Processing of sounds by population spikes in a model of primary auditory cortex

    Directory of Open Access Journals (Sweden)

    Alex Loebel

    2007-10-01

    Full Text Available We propose a model of the primary auditory cortex (A1, in which each iso-frequency column is represented by a recurrent neural network with short-term synaptic depression. Such networks can emit Population Spikes, in which most of the neurons fire synchronously for a short time period. Different columns are interconnected in a way that reflects the tonotopic map in A1, and population spikes can propagate along the map from one column to the next, in a temporally precise manner that depends on the specific input presented to the network. The network, therefore, processes incoming sounds by precise sequences of population spikes that are embedded in a continuous asynchronous activity, with both of these response components carrying information about the inputs and interacting with each other. With these basic characteristics, the model can account for a wide range of experimental findings. We reproduce neuronal frequency tuning curves, whose width depends on the strength of the intracortical inhibitory and excitatory connections. Non-simultaneous two-tone stimuli show forward masking depending on their temporal separation, as well as on the duration of the first stimulus. The model also exhibits non-linear suppressive interactions between sub-threshold tones and broad-band noise inputs, similar to the hypersensitive locking suppression recently demonstrated in auditory cortex.We derive several predictions from the model. In particular, we predict that spontaneous activity in primary auditory cortex gates the temporally locked responses of A1 neurons to auditory stimuli. Spontaneous activity could, therefore, be a mechanism for rapid and reversible modulation of cortical processing.

  11. Role of community pharmacists in asthma – Australian research highlighting pathways for future primary care models

    Directory of Open Access Journals (Sweden)

    Saini B

    2011-04-01

    Full Text Available Asthma is one of the most common chronic conditions affecting the Australian population. Amongst primary healthcare professionals, pharmacists are the most accessible and this places pharmacists in an excellent position to play a role in the management of asthma. Globally, trials of many community pharmacy-based asthma care models have provided evidence that pharmacist delivered interventions can improve clinical, humanistic and economic outcomes for asthma patients. In Australia, a decade of coordinated research efforts, in various aspects of asthma care, has culminated in the implementation trial of the Pharmacy Asthma Management Service (PAMS, a comprehensive disease management model. There has been research investigating asthma medication adherence through data mining, ways in which usual asthma care can be improved. Our research has focused on self-management education, inhaler technique interventions, spirometry trials, interprofessional models of care, and regional trials addressing the particular needs of rural communities. We have determined that inhaler technique education is a necessity and should be repeated if correct technique is to be maintained. We have identified this effectiveness of health promotion and health education, conducted within and outside the confines of the pharmacy, in public for a and settings such as schools, and established that this outreach role is particularly well received and increases the opportunity for people with asthma to engage in their asthma management. Our research has identified that asthma patients have needs which pharmacists delivering specialized models of care, can address. There is a lot of evidence for the effectiveness of asthma care by pharmacists, the future must involve integration of this role into primary care.

  12. Quantitative model of cell cycle arrest and cellular senescence in primary human fibroblasts.

    Directory of Open Access Journals (Sweden)

    Sascha Schäuble

    Full Text Available Primary human fibroblasts in tissue culture undergo a limited number of cell divisions before entering a non-replicative "senescent" state. At early population doublings (PD, fibroblasts are proliferation-competent displaying exponential growth. During further cell passaging, an increasing number of cells become cell cycle arrested and finally senescent. This transition from proliferating to senescent cells is driven by a number of endogenous and exogenous stress factors. Here, we have developed a new quantitative model for the stepwise transition from proliferating human fibroblasts (P via reversibly cell cycle arrested (C to irreversibly arrested senescent cells (S. In this model, the transition from P to C and to S is driven by a stress function γ and a cellular stress response function F which describes the time-delayed cellular response to experimentally induced irradiation stress. The application of this model based on senescence marker quantification at the single-cell level allowed to discriminate between the cellular states P, C, and S and delivers the transition rates between the P, C and S states for different human fibroblast cell types. Model-derived quantification unexpectedly revealed significant differences in the stress response of different fibroblast cell lines. Evaluating marker specificity, we found that SA-β-Gal is a good quantitative marker for cellular senescence in WI-38 and BJ cells, however much less so in MRC-5 cells. Furthermore we found that WI-38 cells are more sensitive to stress than BJ and MRC-5 cells. Thus, the explicit separation of stress induction from the cellular stress response, and the differentiation between three cellular states P, C and S allows for the first time to quantitatively assess the response of primary human fibroblasts towards endogenous and exogenous stress during cellular ageing.

  13. Developing a facilitation model to promote organisational development in primary care practices.

    Science.gov (United States)

    Rhydderch, Melody; Edwards, Adrian; Marshall, Martin; Elwyn, Glyn; Grol, Richard

    2006-06-19

    The relationship between effective organisation of general practices and health improvement is widely accepted. The Maturity Matrix is an instrument designed to assess organisational development in general practice settings and to stimulate quality improvement. It is undertaken by a practice team with the aid of a facilitator. There is a tradition in the primary care systems in many countries of using practice visitors to educate practice teams about how to improve. However the role of practice visitors as facilitators who enable teams to plan practice-led organisational development using quality improvement instruments is less well understood. The objectives of the study were to develop and explore a facilitation model to support practice teams in stimulating organisational development using a quality improvement instrument called the Maturity Matrix. A qualitative study based on transcript analysis was adopted. A model of facilitation was constructed based on a review of relevant literature. Audio tapes of Maturity Matrix assessment sessions with general practices were transcribed and facilitator skills were compared to the model. The sample consisted of two facilitators working with twelve general practices based in UK primary care. The facilitation model suggested that four areas describing eighteen skills were important. The four areas are structuring the session, obtaining consensus, handling group dynamics and enabling team learning. Facilitators effectively employed skills associated with the first three areas, but less able to consistently stimulate team learning. This study suggests that facilitators need careful preparation for their role and practices need protected time in order to make best use of practice-led quality improvement instruments. The role of practice visitor as a facilitator is becoming important as the need to engender ownership of the quality improvement process by practices increases.

  14. Developing a facilitation model to promote organisational development in primary care practices

    Directory of Open Access Journals (Sweden)

    Elwyn Glyn

    2006-06-01

    Full Text Available Abstract Background The relationship between effective organisation of general practices and health improvement is widely accepted. The Maturity Matrix is an instrument designed to assess organisational development in general practice settings and to stimulate quality improvement. It is undertaken by a practice team with the aid of a facilitator. There is a tradition in the primary care systems in many countries of using practice visitors to educate practice teams about how to improve. However the role of practice visitors as facilitators who enable teams to plan practice-led organisational development using quality improvement instruments is less well understood. The objectives of the study were to develop and explore a facilitation model to support practice teams in stimulating organisational development using a quality improvement instrument called the Maturity Matrix. A qualitative study based on transcript analysis was adopted. Method A model of facilitation was constructed based on a review of relevant literature. Audio tapes of Maturity Matrix assessment sessions with general practices were transcribed and facilitator skills were compared to the model. The sample consisted of two facilitators working with twelve general practices based in UK primary care. Results The facilitation model suggested that four areas describing eighteen skills were important. The four areas are structuring the session, obtaining consensus, handling group dynamics and enabling team learning. Facilitators effectively employed skills associated with the first three areas, but less able to consistently stimulate team learning. Conclusion This study suggests that facilitators need careful preparation for their role and practices need protected time in order to make best use of practice-led quality improvement instruments. The role of practice visitor as a facilitator is becoming important as the need to engender ownership of the quality improvement process by

  15. Characterizing primary human microglia: A comparative study with myeloid subsets and culture models.

    Science.gov (United States)

    Melief, J; Sneeboer, M A M; Litjens, M; Ormel, P R; Palmen, S J M C; Huitinga, I; Kahn, R S; Hol, E M; de Witte, L D

    2016-11-01

    The biology of microglia has become subject to intense study, as they are widely recognized as crucial determinants of normal and pathologic brain functioning. While they are well studied in animal models, it is still strongly debated what specifies most accurately the phenotype and functioning of microglia in the human brain. In this study, we therefore isolated microglia from postmortem human brain tissue of corpus callosum (CC) and frontal cortex (CTX). The cells were phenotyped for a panel of typical microglia markers and genes involved in myeloid cell biology. Furthermore, their response to pro- and anti-inflammatory stimuli was assessed. The microglia were compared to key human myeloid cell subsets, including monocytes, monocyte-derived macrophages and monocyte-derived dendritic cells, and several commonly used microglial cell models. Protein and mRNA expression profiles partly differed between microglia isolated from CC and frontal cortex and were clearly distinct from other myeloid subsets. Microglia responded to both pro- (LPS or poly I:C) and anti-inflammatory (IL-4 or dexamethasone) stimuli. Interestingly, pro-inflammatory responses differed between microglia and monocyte-derived macrophages, as the former responded more strongly to poly I:C and the latter more strongly to LPS. Furthermore, we defined a large phenotypic discrepancy between primary human microglia and currently used microglial cell models and cell lines. In conclusion, we further delineated the unique and specific features that discriminate human microglia from other myeloid subsets, and we show that currently used cellular models only partly reflect the phenotype of primary human microglia. GLIA 2016;64:1857-1868.

  16. Primary pigmented nodular adrenocortical disease

    Directory of Open Access Journals (Sweden)

    Marie T Manipadam

    2011-01-01

    Full Text Available Primary pigmented nodular adrenocortical disease (PPNAD is a rare cause of ACTH-independent Cushing′s syndrome and has characteristic gross and microscopic pathologic findings. We report a case of PPNAD in a 15-year-old boy, which was not associated with Carney′s complex. Bilateral adrenalectomy is the treatment of choice.

  17. Systematic analysis of a xenograft mice model for KSHV+ primary effusion lymphoma (PEL.

    Directory of Open Access Journals (Sweden)

    Lu Dai

    Full Text Available Kaposi's sarcoma-associated herpesvirus is the causative agent of primary effusion lymphoma (PEL, which arises preferentially in the setting of infection with human immunodeficiency virus (HIV. Even with standard cytotoxic chemotherapy, PEL continues to cause high mortality rates, requiring the development of novel therapeutic strategies. PEL xenograft models employing immunodeficient mice have been used to study the in vivo effects of a variety of therapeutic approaches. However, it remains unclear whether these xenograft models entirely reflect clinical presentations of KSHV(+ PEL, especially given the recent description of extracavitary solid tumor variants arising in patients. In addition, effusion and solid tumor cells propagated in vivo exhibit unique biology, differing from one another or from their parental cell lines propagated through in vitro culture. Therefore, we used a KSHV(+ PEL/BCBL-1 xenograft model involving non-obese diabetic/severe-combined immunodeficient (NOD/SCID mice, and compared characteristics of effusion and solid tumors with their parent cell culture-derived counterparts. Our results indicate that although this xenograft model can be used for study of effusion and solid lymphoma observed in patients, tumor cells in vivo display unique features to those passed in vitro, including viral lytic gene expression profile, rate of solid tumor development, the host proteins and the complex of tumor microenvironment. These items should be carefully considered when the xenograft model is used for testing novel therapeutic strategies against KSHV-related lymphoma.

  18. Adaptive neuro-fuzzy modelling of anaerobic digestion of primary sedimentation sludge.

    Science.gov (United States)

    Cakmakci, Mehmet

    2007-09-01

    Modelling of anaerobic digestion systems is difficult because their performance is complex and varies significantly with influent characteristics and operational conditions. In this study, Adaptive Neuro-Fuzzy Inference System (ANFIS) were used for modelling of anaerobic digestion system of primary sludge of Kayseri municipal WasteWater Treatment Plant (WWTP). Effluent Volatile Solid (VS) and methane yield were predicted by the ANFIS. Two stage models were performed. In the first stage, effluent VS concentration was predicted using pH, VS concentration, flowrate of pre-thickened sludge and temperature of the influent as input parameters. In the second stage, effluent VS concentration in addition to first stage input parameters were used as input parameters to predict methane yield. The low Root Mean Square Error (RMSE) and high Index of agreement (IA) values were obtained with subtractive clustering method of a first order Sugeno type inference. The model performance was evaluated with statistical parameters. According to statistical evaluations, the models satisfactorily predict effluent VS concentration and methane yield.

  19. Primary safe criterion of earth-brushing flight for flying vehicle over digital surface model

    Institute of Scientific and Technical Information of China (English)

    赵敏; 林行刚; 赵乃国

    2004-01-01

    In modem terrain-following guidance it is an important index for flight vehicle to cruise about safely and normally. On the basis of a constructing method of digital surface model (DSM), the definition, classification and scale analysis of an isolated obstacle threatening flight safety of terrain-following guidance are made. When the interval of verticaland cross-sections on DSM is 12.5 m, the proportion of isolated obstacles to the data amount of DSM model to be loaded is optimal. The main factors influencing the lowest flying height in terrain-following guidance are analyzed, and a primary safe criterion of the lowest flying height over DSM model is proposed. According to their test errors, the lowest flying height over 1:10 000 DSM model can reach 40.5 m~45.0 m in terrain-following guidance. It is shown from the simulation results of a typical urban district that the proposed models and methods are reasonable and feasible.

  20. Effects of Neurodevelopmental Therapy on Gross Motor Function in Children with Cerebral Palsy

    Directory of Open Access Journals (Sweden)

    Sina LABAF

    2015-06-01

    Full Text Available Normal 0 false false false EN-US X-NONE AR-SA How to Cite This Article: labaf S, Shamsoddini A, Hollisaz MT, Sobhani V, Shakibaee A . Effects of Neurodevelopmental Therapy on Gross Motor Function in Children with Cerebral Palsy. Iran J Child Neurol. Spring 2015;9(1:37-42.AbstractObjectiveNeurodevelopmental treatments are an advanced therapeutic approach practiced by experienced occupational therapists for the rehabilitation of children with cerebral palsy. The primary challenge in children with cerebral palsy is gross motor dysfunction. We studied the effects of neurodevelopmental therapy on gross motor function in children with cerebral palsy.Materials & MethodsIn a quasi-experimental design, 28 children with cerebral palsy were randomly divided into two groups. Neurodevelopmental therapy was given to a first group (n=15 with a mean age of 4.9 years; and a second group with a mean age 4.4 years (n=13 who were the control group. All children were evaluated with the Gross Motor Function Measure. Treatments were scheduled for three - one-hour sessions per week for 3 months.ResultsWe obtained statistically significant differences in the values between the baseline and post treatment in two groups. The groups were significantly different in laying and rolling (P=0.000, sitting (0.002, crawling and kneeling (0.004, and standing abilities (P=0.005. However, there were no significantdifferences in walking, running, and jumping abilities between the two groups (0.090.ConclusionWe concluded that the neurodevelopmental treatment improved gross motor function in children with cerebral palsy in four dimensions (laying and rolling, sitting, crawling and kneeling, and standing. However, walking, running, and jumping did not improve significantly. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso

  1. Hypothyroidism after primary radiotherapy for head and neck squamous cell carcinoma: Normal tissue complication probability modeling with latent time correction

    DEFF Research Database (Denmark)

    Rønjom, Marianne Feen; Brink, Carsten; Bentzen, Søren

    2013-01-01

    To develop a normal tissue complication probability (NTCP) model of radiation-induced biochemical hypothyroidism (HT) after primary radiotherapy for head and neck squamous cell carcinoma (HNSCC) with adjustment for latency and clinical risk factors.......To develop a normal tissue complication probability (NTCP) model of radiation-induced biochemical hypothyroidism (HT) after primary radiotherapy for head and neck squamous cell carcinoma (HNSCC) with adjustment for latency and clinical risk factors....

  2. A modeling study examining the impact of nutrient boundaries on primary production on the Louisiana Continental Shelf

    Science.gov (United States)

    A mass balance eutrophication model, Gulf of Mexico Dissolved Oxygen Model (GoMDOM), has been developed and applied to describe nitrogen, phosphorus and primary production in the Louisiana shelf of the Gulf of Mexico. Features of this model include bi-directional boundary exchan...

  3. Towards a Model for Research on the Effects of School Organizational Health Factors on Primary School Performance in Trinidad & Tobago

    Science.gov (United States)

    Ramdass, Mala; Lewis, Theodore

    2012-01-01

    This article presents a model for research on the effects of school organizational heath factors on primary school academic achievement in Trinidad and Tobago. The model can be applicable for evaluating schools in other developing countries. As proposed, the model hypothesizes relationships between external factors (exogenous variables),…

  4. Estimation of Mangrove Net Primary Production and Carbon Sequestration service using Light Use Efficiency model in the Sunderban Biosphere region, India

    Science.gov (United States)

    Sannigrahi, Srikanta; Sen, Somnath; Paul, Saikat

    2016-04-01

    Net Primary Production (NPP) of mangrove ecosystem and its capacity to sequester carbon from the atmosphere may be used to quantify the regulatory ecosystem services. Three major group of parameters has been set up as BioClimatic Parameters (BCP): (Photosynthetically Active Radiation (PAR), Absorbed PAR (APAR), Fraction of PAR (FPAR), Photochemical Reflectance Index (PRI), Light Use Efficiency (LUE)), BioPhysical Parameters (BPP) :(Normalize Difference Vegetation Index (NDVI), scaled NDVI, Enhanced Vegetation Index (EVI), scaled EVI, Optimised and Modified Soil Adjusted Vegetation Index (OSAVI, MSAVI), Leaf Area Index (LAI)), and Environmental Limiting Parameters (ELP) (Temperature Stress (TS), Land Surface Water Index (LSWI), Normalize Soil Water Index (NSWI), Water Stress Scalar (WS), Inversed WS (iWS) Land Surface Temperature (LST), scaled LST, Vapor Pressure Deficit (VPD), scaled VPD, and Soil Water Deficit Index (SWDI)). Several LUE models namely Carnegie Ames Stanford Approach (CASA), Eddy Covariance - LUE (EC-LUE), Global Production Efficiency Model (GloPEM), Vegetation Photosynthesis Model (VPM), MOD NPP model, Temperature and Greenness Model (TG), Greenness and Radiation model (GR) and MOD17 was adopted in this study to assess the spatiotemporal nature of carbon fluxes. Above and Below Ground Biomass (AGB & BGB) was calculated using field based estimation of OSAVI and NDVI. Microclimatic zonation has been set up to assess the impact of coastal climate on environmental limiting factors. MODerate Resolution Imaging Spectroradiometer (MODIS) based yearly Gross Primary Production (GPP) and NPP product MOD17 was also tested with LUE based results with standard model validation statistics: Root Mean Square of Error (RMSE), Mean Absolute Error (MEA), Bias, Coefficient of Variation (CV) and Coefficient of Determination (R2). The performance of CASA NPP was tested with the ground based NPP with R2 = 0.89 RMSE = 3.28 P = 0.01. Among the all adopted models, EC

  5. Cost-effectiveness of screening for HIV in primary care: a health economics modelling analysis.

    Science.gov (United States)

    Baggaley, Rebecca F; Irvine, Michael A; Leber, Werner; Cambiano, Valentina; Figueroa, Jose; McMullen, Heather; Anderson, Jane; Santos, Andreia C; Terris-Prestholt, Fern; Miners, Alec; Hollingsworth, T Déirdre; Griffiths, Chris J

    2017-07-28

    Early HIV diagnosis reduces morbidity, mortality, the probability of onward transmission, and their associated costs, but might increase cost because of earlier initiation of antiretroviral treatment (ART). We investigated this trade-off by estimating the cost-effectiveness of HIV screening in primary care. We modelled the effect of the four-times higher diagnosis rate observed in the intervention arm of the RHIVA2 randomised controlled trial done in Hackney, London (UK), a borough with high HIV prevalence (≥0·2% adult prevalence). We constructed a dynamic, compartmental model representing incidence of infection and the effect of screening for HIV in general practices in Hackney. We assessed cost-effectiveness of the RHIVA2 trial by fitting model diagnosis rates to the trial data, parameterising with epidemiological and behavioural data from the literature when required, using trial testing costs and projecting future costs of treatment. Over a 40 year time horizon, incremental cost-effectiveness ratios were £22 201 (95% credible interval 12 662-132 452) per quality-adjusted life-year (QALY) gained, £372 207 (268 162-1 903 385) per death averted, and £628 874 (434 902-4 740 724) per HIV transmission averted. Under this model scenario, with UK cost data, RHIVA2 would reach the upper National Institute for Health and Care Excellence cost-effectiveness threshold (about £30 000 per QALY gained) after 33 years. Scenarios using cost data from Canada (which indicate prolonged and even higher health-care costs for patients diagnosed late) suggest this threshold could be reached in as little as 13 years. Screening for HIV in primary care has important public health benefits as well as clinical benefits. We predict it to be cost-effective in the UK in the medium term. However, this intervention might be cost-effective far sooner, and even cost-saving, in settings where long-term health-care costs of late-diagnosed patients in high

  6. Monitoring of gross alpha, gross beta and actinides activities in exhaust air released from the waste isolation pilot plant

    Energy Technology Data Exchange (ETDEWEB)

    Thakur, P., E-mail: pthakur@cemrc.org [Carlsbad Environmental Monitoring and Research Center, 1400 University Drive, Carlsbad, New Mexico 88220 (United States); Mulholland, G.P. [Carlsbad Environmental Monitoring and Research Center, 1400 University Drive, Carlsbad, New Mexico 88220 (United States)

    2011-09-15

    The simultaneous measurements of gross alpha and beta activities is one of the simplest radioanalytical technique used as a method for screening samples of both high and low activities of alpha and beta emitting radionuclides in environmental and bioassay samples. Such measurements are of great interest from both a radiological, waste disposal viewpoint, and to establish a trend of radioactivity based on long term monitoring. At the WIPP (Waste Isolation Pilot Plant) site, unfiltered exhaust air from the underground repository is the most important effluent. As part of its monitoring program, the particulates from WIPP exhaust air are collected everyday at a location typically called the Fixed Air Sampler (FAS) site or Station A, this site is located at the release point for aerosol effluents from the underground to the environment. The measurements of gross alpha and beta activity on air filter samples were performed using an ultra low level counter, PIC-MPC 9604-{alpha}/{beta}, from Protean Instrument Corporation. The high sensitivity of the gross alpha and beta instrument enables detection of low value activity from the air filters. In 2009, the values of gross alpha and beta activity concentrations ranged from Simultaneous measurements of gross alpha and gross beta activities in the particulates from WIPP exhaust air were performed. > Ultra low level counter, PIC-MPC 9604-{alpha}/{beta} counter was used for the measurements. > Values of gross alpha activity concentrations ranged from Values of gross beta activity concentrations ranged from

  7. A gross anatomy ontology for hymenoptera.

    Directory of Open Access Journals (Sweden)

    Matthew J Yoder

    Full Text Available Hymenoptera is an extraordinarily diverse lineage, both in terms of species numbers and morphotypes, that includes sawflies, bees, wasps, and ants. These organisms serve critical roles as herbivores, predators, parasitoids, and pollinators, with several species functioning as models for agricultural, behavioral, and genomic research. The collective anatomical knowledge of these insects, however, has been described or referred to by labels derived from numerous, partially overlapping lexicons. The resulting corpus of information--millions of statements about hymenopteran phenotypes--remains inaccessible due to language discrepancies. The Hymenoptera Anatomy Ontology (HAO was developed to surmount this challenge and to aid future communication related to hymenopteran anatomy. The HAO was built using newly developed interfaces within mx, a Web-based, open source software package, that enables collaborators to simultaneously contribute to an ontology. Over twenty people contributed to the development of this ontology by adding terms, genus differentia, references, images, relationships, and annotations. The database interface returns an Open Biomedical Ontology (OBO formatted version of the ontology and includes mechanisms for extracting candidate data and for publishing a searchable ontology to the Web. The application tools are subject-agnostic and may be used by others initiating and developing ontologies. The present core HAO data constitute 2,111 concepts, 6,977 terms (labels for concepts, 3,152 relations, 4,361 sensus (links between terms, concepts, and references and over 6,000 text and graphical annotations. The HAO is rooted with the Common Anatomy Reference Ontology (CARO, in order to facilitate interoperability with and future alignment to other anatomy ontologies, and is available through the OBO Foundry ontology repository and BioPortal. The HAO provides a foundation through which connections between genomic, evolutionary developmental

  8. A gross anatomy ontology for hymenoptera.

    Science.gov (United States)

    Yoder, Matthew J; Mikó, István; Seltmann, Katja C; Bertone, Matthew A; Deans, Andrew R

    2010-12-29

    Hymenoptera is an extraordinarily diverse lineage, both in terms of species numbers and morphotypes, that includes sawflies, bees, wasps, and ants. These organisms serve critical roles as herbivores, predators, parasitoids, and pollinators, with several species functioning as models for agricultural, behavioral, and genomic research. The collective anatomical knowledge of these insects, however, has been described or referred to by labels derived from numerous, partially overlapping lexicons. The resulting corpus of information--millions of statements about hymenopteran phenotypes--remains inaccessible due to language discrepancies. The Hymenoptera Anatomy Ontology (HAO) was developed to surmount this challenge and to aid future communication related to hymenopteran anatomy. The HAO was built using newly developed interfaces within mx, a Web-based, open source software package, that enables collaborators to simultaneously contribute to an ontology. Over twenty people contributed to the development of this ontology by adding terms, genus differentia, references, images, relationships, and annotations. The database interface returns an Open Biomedical Ontology (OBO) formatted version of the ontology and includes mechanisms for extracting candidate data and for publishing a searchable ontology to the Web. The application tools are subject-agnostic and may be used by others initiating and developing ontologies. The present core HAO data constitute 2,111 concepts, 6,977 terms (labels for concepts), 3,152 relations, 4,361 sensus (links between terms, concepts, and references) and over 6,000 text and graphical annotations. The HAO is rooted with the Common Anatomy Reference Ontology (CARO), in order to facilitate interoperability with and future alignment to other anatomy ontologies, and is available through the OBO Foundry ontology repository and BioPortal. The HAO provides a foundation through which connections between genomic, evolutionary developmental biology

  9. 26 CFR 1.555-2 - Additions to gross income.

    Science.gov (United States)

    2010-04-01

    ... Corporation sells 90percent of its stock in the Y Corporation and thus is a minority shareholder in the Y... on which the required United States group exists, and (2) Such foreign corporation is a shareholder... the gross income of its shareholders, whether United States shareholders or other foreign...

  10. Comments on the research article by Gross et al. (2012)

    DEFF Research Database (Denmark)

    Guntur, Srinivas; Sørensen, Niels N.

    2014-01-01

    The purpose of this Letter to the Editor is to present a discussion on the physics of rotational augmentation based on existing work. One of the latest works by Gross et al. (2012) is highlighted here, and its conclusions are discussed. Based on the existing understanding of rotational augmentati...

  11. 40 CFR 403.15 - Net/Gross calculation.

    Science.gov (United States)

    2010-07-01

    ... STANDARDS GENERAL PRE-TREAT-MENT REGULATIONS FOR EXIST-ING AND NEW SOURCES OF POLLUTION § 403.15 Net/Gross... pollutants in the Industrial User's intake water in accordance with this section. Any Industrial User wishing... of the Industrial User, the applicable Standard will be calculated on a “net” basis (i.e., adjusted...

  12. Rubriek 'Meten in de praktijk': Gross Motor Function Measure.

    NARCIS (Netherlands)

    Veenhof, C.; Ketelaar, M.

    2004-01-01

    De Gross Motor Function Measure (GMFM) is een instrument dat de grof-motorische vaardigheden meet van kinderen met cerebrale parese. De GMFM is expliciet ontwikkeld als evaluatief meetinstrument, wat betekent dat het bedoeld is om veranderingen over de tijd of verandering en die optreden na behandel

  13. Development of the Gross Motor Function Classification System (1997)

    Science.gov (United States)

    Morris, Christopher

    2008-01-01

    To address the need for a standardized system to classify the gross motor function of children with cerebral palsy, the authors developed a five-level classification system analogous to the staging and grading systems used in medicine. Nominal group process and Delphi survey consensus methods were used to examine content validity and revise the…

  14. Assessing Gross Motor Skills of Kosovar Preschool Children

    Science.gov (United States)

    Shala, Merita

    2009-01-01

    In the light of the new developments in preschool education in Kosovo, this study attempts to carry out an assessment of the development of gross motor skills of preschool children attending institutional education. The emphasis is on creating a set of tests to measure the motor attainments of these children by conducting assessments of the…

  15. 78 FR 26575 - Gross Combination Weight Rating; Definition

    Science.gov (United States)

    2013-05-07

    ... Weight Rating; Definition AGENCY: Federal Motor Carrier Safety Administration (FMCSA), DOT. ACTION... definition of ``gross combination weight rating'' (or GCWR) to clarify that a GCWR is the greater of: the....regulations.gov . Fax: 1-202-493-2251. Mail: Docket Management Facility (M-30), U.S. Department of...

  16. Gross and Microscopic Lesions in Corals from Micronesia.

    Science.gov (United States)

    Work, T M; Aeby, G S; Hughen, K A

    2016-01-01

    The authors documented gross and microscopic morphology of lesions in corals on 7 islands spanning western, southern, and eastern Micronesia, sampling 76 colonies comprising 30 species of corals among 18 genera, with Acropora, Porites, and Montipora dominating. Tissue loss comprised the majority of gross lesions sampled (41%), followed by discoloration (30%) and growth anomaly (29%). Of 31 cases of tissue loss, most lesions were subacute (48%), followed by acute and chronic (26% each). Of 23 samples with discoloration, most were dark discoloration (40%), with bleaching and other discoloration each constituting 30%. Of 22 growth anomalies, umbonate growth anomalies composed half, with exophytic, nodular, and rugose growth anomalies composing the remainder. On histopathology, for 9 cases of dark discoloration, fungal infections predominated (77%); for 7 bleached corals, depletion of zooxanthellae from the gastrodermis made up a majority of microscopic diagnoses (57%); and for growth anomalies other than umbonate, hyperplasia of the basal body wall was the most common microscopic finding (63%). For the remainder of the gross lesions, no single microscopic finding constituted >50% of the total. Host response varied with the agent present on histology. Fragmentation of tissues was most often associated with algae (60%), whereas necrosis dominated (53%) for fungi. Two newly documented potentially symbiotic tissue-associated metazoans were seen in Porites and Montipora. Findings of multiple potential etiologies for a given gross lesion highlight the importance of incorporating histopathology in coral disease surveys. This study also expands the range of corals infected with cell-associated microbial aggregates.

  17. Gross and microscopic lesions in corals from Micronesia

    Science.gov (United States)

    Work, Thierry M.; Aeby, Greta S.; Hughen, Konrad A.

    2015-01-01

    The authors documented gross and microscopic morphology of lesions in corals on 7 islands spanning western, southern, and eastern Micronesia, sampling 76 colonies comprising 30 species of corals among 18 genera, with Acropora, Porites, and Montipora dominating. Tissue loss comprised the majority of gross lesions sampled (41%), followed by discoloration (30%) and growth anomaly (29%). Of 31 cases of tissue loss, most lesions were subacute (48%), followed by acute and chronic (26% each). Of 23 samples with discoloration, most were dark discoloration (40%), with bleaching and other discoloration each constituting 30%. Of 22 growth anomalies, umbonate growth anomalies composed half, with exophytic, nodular, and rugose growth anomalies composing the remainder. On histopathology, for 9 cases of dark discoloration, fungal infections predominated (77%); for 7 bleached corals, depletion of zooxanthellae from the gastrodermis made up a majority of microscopic diagnoses (57%); and for growth anomalies other than umbonate, hyperplasia of the basal body wall was the most common microscopic finding (63%). For the remainder of the gross lesions, no single microscopic finding constituted >50% of the total. Host response varied with the agent present on histology. Fragmentation of tissues was most often associated with algae (60%), whereas necrosis dominated (53%) for fungi. Two newly documented potentially symbiotic tissue-associated metazoans were seen in Porites and Montipora. Findings of multiple potential etiologies for a given gross lesion highlight the importance of incorporating histopathology in coral disease surveys. This study also expands the range of corals infected with cell-associated microbial aggregates.

  18. Happy Life Years: a measure of Gross National Happiness

    NARCIS (Netherlands)

    R. Veenhoven (Ruut)

    2004-01-01

    textabstractHappiness is defined as the degree to which a person enjoys his or her life-as-a-whole. Accordingly ‘Gross National Happiness’ is defined as the degree to which citizens in a country enjoy the life they live. Individual happiness can be measured by self-report on a single standard

  19. 77 FR 51706 - Gross Combination Weight Rating (GCWR); Definition

    Science.gov (United States)

    2012-08-27

    ... Federal Motor Carrier Safety Administration 49 CFR Parts 383 and 390 RIN 2126-AB53 Gross Combination Weight Rating (GCWR); Definition AGENCY: Federal Motor Carrier Safety Administration (FMCSA), DOT. ACTION: Direct final rule; request for comments. SUMMARY: The Federal Motor Carrier Safety Administration...

  20. Strategic improvements for gross anatomy web-based teaching.

    Science.gov (United States)

    Marker, David R; Juluru, Krishna; Long, Chris; Magid, Donna

    2012-01-01

    Current generations of graduate students have been immersed in technology from their early school years and have high expectations regarding digital resources. To better meet the expectations of Gross Anatomy students at our institution, electronic radiology teaching files for first-year coursework were organized into a web site. The web site was custom designed to provide material that directly correlated to the Gross Anatomy dissection and lectures. Quick links provided sets of images grouped by anatomic location. Additionally, Lab and Study Companions provided specific material for the students to review prior to and after lectures and gross dissections. Student opinions of this education resource were compared to student opinions of the prior year's digital teaching files. The new content was ranked as more user friendly (3.1 points versus 2.3 points) and more useful for learning anatomy (3.3 points versus 2.6 points). Many students reported that using the web portal was critical in helping them to better understand relationships of anatomical structures. These findings suggest that a well-organized web portal can provide a user-friendly, valuable educational resource for medical students who are studying Gross Anatomy.

  1. Fine and Gross Motor Ability in Males with ADHD

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap

    2003-09-01

    Full Text Available Both fine and gross motor abilities were evaluated in 10-year-old males with attention deficit hyperactivity disorder (ADHD and compared to a group of control children at the School of Psychology, Curtin University of Technology, Perth, Australia.

  2. Monopol suretab kohaliku loomakasvataja / Oleg Gross ; interv . Illar Mõttus

    Index Scriptorium Estoniae

    Gross, Oleg, 1952-

    2005-01-01

    Väike-Maarja jäätmetehase monopoolse seisundi vastu sõna võtnud OG Elektra omanik Oleg Gross on kindel, et jäätmetehasega suretatakse kohalikud väiksemad lihatootjad välja. Kommenteerivad talupidaja Jüri Järvet ja Rakvere Lihakombinaadi direktor Olle Horm

  3. Barn music at St Donat's castle / Philip Gross

    Index Scriptorium Estoniae

    Gross, Philip, 1952-

    2011-01-01

    Muusikafestivalist "Vale of Glamorgan", mis oli 2010. a. pühendatud Arvo Pärdile. Eesti kammermuusikaansambli Resonabilis kavas oli ka festivali tellimusel valminud uelsi helilooja Gareth Peredur Churchilli "Vocable", mille teksti kirjutas Philip Gross. Festivalikontsertide muljeid leiab Grossi luuletsüklis "Barn music" (avaldatud samas ajakirjanumbris, lk. 42-43)

  4. Samuel D. Gross: the nestor of American surgery.

    Science.gov (United States)

    Toledo-Pereyra, Luis H

    2006-01-01

    Samuel David Gross (1805-1884) represented the most notable surgeon of his generation and was honored with the title of "The Nestor of American Surgeon" by surgeon biographer Isaac Minis Hays. Of Pennsylvania Dutch stock, he was born on the family farm near Easton, Pennsylvania. He attended Wilkebarré Academy and Lawrenceville High School, noted private institutions of the day. He apprenticed under Doctor Joseph K. Swift of Easton and later with Professor George McClellan while in Philadelphia. In 1828, he graduated from Jefferson Medical College and remained for a short time in Philadelphia. Professor Gross focused his professional pursuits in the cities of Easton (1830-1833), Cincinnati (1833-1840), Louisville (1840-1856), and Philadelphia (1856-1882). He retired from Jefferson Medical College two years before his death in 1884. Samuel D. Gross' contributions to surgery were numerous and diverse. He was recognized as a prolific author of classic texts of pathology, surgery, and history, an educator, a leader, a surgical researcher, and a pioneer surgeon practitioner. His influence in national affairs was immense, and his recognition as a respected surgeon was unmatched. He remains the most distinguished surgeon of his times. History values him as a hard working, honest, highly competent, and committed individual. His capacity for work and his dedication to a single cause were unrivaled. Doctor Gross integrated the best that surgery could give to future generations of surgical professionals.

  5. Attitudes of Healthcare Students on Gross Anatomy Laboratory Sessions

    Science.gov (United States)

    Kawashiro, Yukiko; Anahara, Reiko; Kohno, Toshihiko; Mori, Chisato; Matsuno, Yoshiharu

    2009-01-01

    At Chiba University, gross anatomy laboratory sessions ("laboratories") are required for physical therapy students. Though most physical therapy schools require their students to participate in laboratories so that they will better understand the structure of the human body, few data exist on the value of these laboratories specifically…

  6. Uniqueness of Meromorphic Functions and Question of Gross

    Institute of Scientific and Technical Information of China (English)

    仪洪勋

    1994-01-01

    In this paper, we deal with the problem of uniqueness of meromorphic functions. It is shown that there exist two finite sets Sj (j=1, 2) such that any two nonconstant meromorphic functions f and g satisfying Ef(Sj)=Eg(Sj) for j = 1,2 must be identical, which answers a question posed by Gross.

  7. Interlimb Coordination: An Important Facet of Gross-Motor Ability

    Science.gov (United States)

    Bobbio, Tatiana; Gabbard, Carl; Cacola, Priscila

    2009-01-01

    Motor development attains landmark significance during early childhood. Although early childhood educators may be familiar with the gross-motor skill category, the subcategory of interlimb coordination needs greater attention than it typically receives from teachers of young children. Interlimb coordination primarily involves movements requiring…

  8. Barn music at St Donat's castle / Philip Gross

    Index Scriptorium Estoniae

    Gross, Philip, 1952-

    2011-01-01

    Muusikafestivalist "Vale of Glamorgan", mis oli 2010. a. pühendatud Arvo Pärdile. Eesti kammermuusikaansambli Resonabilis kavas oli ka festivali tellimusel valminud uelsi helilooja Gareth Peredur Churchilli "Vocable", mille teksti kirjutas Philip Gross. Festivalikontsertide muljeid leiab Grossi luuletsüklis "Barn music" (avaldatud samas ajakirjanumbris, lk. 42-43)

  9. 75 FR 15610 - Exclusions From Gross Income of Foreign Corporations

    Science.gov (United States)

    2010-03-30

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF THE TREASURY Internal Revenue Service 26 CFR Part 1 Exclusions From Gross Income of Foreign Corporations CFR Correction In Title 26 of the Code of Federal Regulations, Part 1 (Sec. Sec. 1.851 to 1.907), revised as...

  10. Gross Motor Development, Movement Abnormalities, and Early Identification of Autism

    Science.gov (United States)

    Ozonoff, Sally; Young, Gregory S.; Goldring, Stacy; Greiss-Hess, Laura; Herrera, Adriana M.; Steele, Joel; Macari, Suzanne; Hepburn, Susan; Rogers, Sally J.

    2008-01-01

    Gross motor development (supine, prone, rolling, sitting, crawling, walking) and movement abnormalities were examined in the home videos of infants later diagnosed with autism (regression and no regression subgroups), developmental delays (DD), or typical development. Group differences in maturity were found for walking, prone, and supine, with…

  11. Outcomes of a Rotational Dissection System in Gross Anatomy

    Science.gov (United States)

    Marshak, David W.; Oakes, Joanne; Hsieh, Pei-Hsuan; Chuang, Alice Z.; Cleary, Leonard J.

    2015-01-01

    At the University of Texas Houston Medical School, a rotational dissection system was introduced to improve coordination between the Gross Anatomy and the Introduction to Clinical Medicine (ICM) courses. Six students were assigned to each cadaver and divided into two teams. For each laboratory, one team was assigned to dissect and the other to…

  12. Strategic Improvements for Gross Anatomy Web-Based Teaching

    Directory of Open Access Journals (Sweden)

    David R. Marker

    2012-01-01

    Full Text Available Current generations of graduate students have been immersed in technology from their early school years and have high expectations regarding digital resources. To better meet the expectations of Gross Anatomy students at our institution, electronic radiology teaching files for first-year coursework were organized into a web site. The web site was custom designed to provide material that directly correlated to the Gross Anatomy dissection and lectures. Quick links provided sets of images grouped by anatomic location. Additionally, Lab and Study Companions provided specific material for the students to review prior to and after lectures and gross dissections. Student opinions of this education resource were compared to student opinions of the prior year’s digital teaching files. The new content was ranked as more user friendly (3.1 points versus 2.3 points and more useful for learning anatomy (3.3 points versus 2.6 points. Many students reported that using the web portal was critical in helping them to better understand relationships of anatomical structures. These findings suggest that a well-organized web portal can provide a user-friendly, valuable educational resource for medical students who are studying Gross Anatomy.

  13. Kinetic analyses and mathematical modeling of primary photochemical and photoelectrochemical processes in plant photosystems.

    Science.gov (United States)

    Vredenberg, Wim

    2011-02-01

    In this paper the model and simulation of primary photochemical and photo-electrochemical reactions in dark-adapted intact plant leaves is presented. A descriptive algorithm has been derived from analyses of variable chlorophyll a fluorescence and P700 oxidation kinetics upon excitation with multi-turnover pulses (MTFs) of variable intensity and duration. These analyses have led to definition and formulation of rate equations that describe the sequence of primary linear electron transfer (LET) steps in photosystem II (PSII) and of cyclic electron transport (CET) in PSI. The model considers heterogeneity in PSII reaction centers (RCs) associated with the S-states of the OEC and incorporates in a dark-adapted state the presence of a 15-35% fraction of Q(B)-nonreducing RCs that probably is identical with the S₀ fraction. The fluorescence induction algorithm (FIA) in the 10 μs-1s excitation time range considers a photochemical O-J-D, a photo-electrochemical J-I and an I-P phase reflecting the response of the variable fluorescence to the electric trans-thylakoid potential generated by the proton pump fuelled by CET in PSI. The photochemical phase incorporates the kinetics associated with the double reduction of the acceptor pair of pheophytin (Phe) and plastoquinone Q(A) [PheQ(A)] in Q(B) nonreducing RCs and the associated doubling of the variable fluorescence, in agreement with the three-state trapping model (TSTM) of PS II. The decline in fluorescence emission during the so called SMT in the 1-100s excitation time range, known as the Kautsky curve, is shown to be associated with a substantial decrease of CET-powered proton efflux from the stroma into the chloroplast lumen through the ATPsynthase of the photosynthetic machinery.

  14. Reovirus FAST Protein Enhances Vesicular Stomatitis Virus Oncolytic Virotherapy in Primary and Metastatic Tumor Models

    Directory of Open Access Journals (Sweden)

    Fabrice Le Boeuf

    2017-09-01

    Full Text Available The reovirus fusion-associated small transmembrane (FAST proteins are the smallest known viral fusogens (∼100–150 amino acids and efficiently induce cell-cell fusion and syncytium formation in multiple cell types. Syncytium formation enhances cell-cell virus transmission and may also induce immunogenic cell death, a form of apoptosis that stimulates immune recognition of tumor cells. These properties suggest that FAST proteins might serve to enhance oncolytic virotherapy. The oncolytic activity of recombinant VSVΔM51 (an interferon-sensitive vesicular stomatitis virus [VSV] mutant encoding the p14 FAST protein (VSV-p14 was compared with a similar construct encoding GFP (VSV-GFP in cell culture and syngeneic BALB/c tumor models. Compared with VSV-GFP, VSV-p14 exhibited increased oncolytic activity against MCF-7 and 4T1 breast cancer spheroids in culture and reduced primary 4T1 breast tumor growth in vivo. VSV-p14 prolonged survival in both primary and metastatic 4T1 breast cancer models, and in a CT26 metastatic colon cancer model. As with VSV-GFP, VSV-p14 preferentially replicated in vivo in tumors and was cleared rapidly from other sites. Furthermore, VSV-p14 increased the numbers of activated splenic CD4, CD8, natural killer (NK, and natural killer T (NKT cells, and increased the number of activated CD4 and CD8 cells in tumors. FAST proteins may therefore provide a multi-pronged approach to improving oncolytic virotherapy via syncytium formation and enhanced immune stimulation.

  15. Social franchising primary healthcare clinics--a model for South African National Health Insurance?

    Science.gov (United States)

    Robinson, Andrew Ken Lacey

    2015-09-21

    This article describes the first government social franchise initiative in the world to deliver a 'brand' of quality primary healthcare (PHC) clinic services. Quality and standards of care are not uniformly and reliably delivered across government PHC clinics in North West Province, South Africa, despite government support, numerous policies, guidelines and in-service training sessions provided to staff. Currently the strongest predictor of good-quality service is the skill and dedication of the facility manager. A project utilising the social franchising business model, harvesting best practices, has been implemented with the aim of developing a system to ensure reliably excellent healthcare service provision in every facility in North West. The services of social franchising consultants have been procured to develop the business model to drive this initiative. Best practices have been benchmarked, and policies, guidelines and clinic support systems have been reviewed, evaluated and assessed, and incorporated into the business plan. A pilot clinic has been selected to refine and develop a working social franchise model. This will then be replicated in one clinic to confirm proof of concept before further scale-up. The social franchise business model can provide solutions to a reliable and recognisable 'brand' of quality universal coverage of healthcare services.

  16. Ground-based grasslands data to support remote sensing and ecosystem modeling of terrestrial primary production

    Energy Technology Data Exchange (ETDEWEB)

    Olson, R.J.; Turner, R.S. [Oak Ridge National Lab., TN (United States); Scurlock, J.M.O. [King`s College London, (England); Jennings, S.V. [Tennessee Univ., Knoxville, TN (United States)

    1995-12-31

    Estimating terrestrial net primary production (NPP) using remote- sensing tools and ecosystem models requires adequate ground-based measurements for calibration, parameterization, and validation. These data needs were strongly endorsed at a recent meeting of ecosystem modelers organized by the International Geosphere-Biosphere Programme`s (IGBP`s) Data and Information System (DIS) and its Global Analysis, Interpretation, and Modelling (GAIM) Task Force. To meet these needs, a multinational, multiagency project is being coordinated by the IGBP DIS to compile existing NPP data from field sites and to regionalize NPP point estimates to various-sized grid cells. Progress at Oak Ridge National Laboratory (ORNL) on compiling NPP data for grasslands as part of the IGBP DIS data initiative is described. Site data and associated documentation from diverse field studies are being acquired for selected grasslands and are being reviewed for completeness, consistency, and adequacy of documentation, including a description of sampling methods. Data are being compiled in a database with spatial, temporal, and thematic characteristics relevant to remote sensing and global modeling. NPP data are available from the ORNL Distributed Active Archive Center (DAAC) for biogeochemical dynamics. The ORNL DAAC is part of the Earth Observing System Data and Information System, of the US National Aeronautics and Space Administration.

  17. Sustainability of the integrated chronic disease management model at primary care clinics in South Africa

    Directory of Open Access Journals (Sweden)

    Ozayr H. Mahomed

    2016-03-01

    Full Text Available Background: An integrated chronic disease management (ICDM model consisting of four components (facility reorganisation, clinical supportive management, assisted self-supportive management and strengthening of support systems and structures outside the facility has been implemented across 42 primary health care clinics in South Africa with a view to improve the operational efficiency and patient clinical outcomes.Aim: The aim of this study was to assess the sustainability of the facility reorganisation and clinical support components 18 months after the initiation.Setting: The study was conducted at 37 of the initiating clinics across three districts in three provinces of South Africa.Methods: The National Health Service (NHS Institute for Innovation and Improvement Sustainability Model (SM self-assessment tool was used to assess sustainability.Results: Bushbuckridge had the highest mean sustainability score of 71.79 (95% CI: 63.70–79.89 followed by West Rand Health District (70.25 (95% CI: 63.96–76.53 and Dr Kenneth Kaunda District (66.50 (95% CI: 55.17–77.83. Four facilities (11% had an overall sustainability score of less than 55.Conclusion: The less than optimal involvement of clinical leadership (doctors, negative staff behaviour towards the ICDM, adaptability or flexibility of the model to adapt to external factors and infrastructure limitation have the potential to negatively affect the sustainability and scale-up of the model.

  18. Integration of radiative transfer into satellite models of ocean primary production

    Science.gov (United States)

    Smyth, T. J.; Tilstone, G. H.; Groom, S. B.

    2005-10-01

    A major goal of ocean color observations from space is the determination of phytoplankton primary productivity (PP) and hence oceanic carbon uptake. Results of a PP model implemented to use satellite-derived fields of chlorophyll, photosynthetically available radiation (PAR) and sea-surface temperature (SST) are presented. The model gave a global estimate of PP of around 57 Gt C yr-1 and gives a low RMS (0.16) when compared with in situ data. However, as the model's in-water light field parameterization only considers attenuation by pure water and chlorophyll, PP is overestimated in case II waters where other optically important constituents such as colored dissolved organic matter (CDOM) and suspended particulate matter (SPM) are also present. This paper develops a novel technique to determine PP by coupling a radiative transfer code, which allows the inclusion of CDOM and SPM, to the original photosynthesis model. For the global calculations, a look-up table has been generated using chlorophyll, CDOM, SST, PAR and day length as inputs. The resultant 364,500 element look-up table has been applied to data from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate-Resolution Imaging Spectroradiometer (MODIS). PP retrievals are improved in case II waters and global estimates are reduced to between 52 and 55 Gt C yr-1.

  19. Sustainability of the integrated chronic disease management model at primary care clinics in South Africa.

    Science.gov (United States)

    Mahomed, Ozayr H; Asmall, Shaidah; Voce, Anna

    2016-11-17

    An integrated chronic disease management (ICDM) model consisting of four components (facility reorganisation, clinical supportive management, assisted self-supportive management and strengthening of support systems and structures outside the facility) has been implemented across 42 primary health care clinics in South Africa with a view to improve the operational efficiency and patient clinical outcomes. The aim of this study was to assess the sustainability of the facility reorganisation and clinical support components 18 months after the initiation. The study was conducted at 37 of the initiating clinics across three districts in three provinces of South Africa. The National Health Service (NHS) Institute for Innovation and Improvement Sustainability Model (SM) self-assessment tool was used to assess sustainability. Bushbuckridge had the highest mean sustainability score of 71.79 (95% CI: 63.70-79.89) followed by West Rand Health District (70.25 (95% CI: 63.96-76.53)) and Dr Kenneth Kaunda District (66.50 (95% CI: 55.17-77.83)). Four facilities (11%) had an overall sustainability score of less than 55. The less than optimal involvement of clinical leadership (doctors), negative staff behaviour towards the ICDM, adaptability or flexibility of the model to adapt to external factors and infrastructure limitation have the potential to negatively affect the sustainability and scale-up of the model.

  20. Gross-fragmentation of meteoroids and bulk density of Geminids from photographic fireball records

    Science.gov (United States)

    Ceplecha, Zdenek; Mccrosky, R. E.

    1992-01-01

    The explicit solution of the drag and ablation equations of a single nonfragmenting meteoroid moving in any actual atmosphere was published several years ago. The solution yields the theoretical relation of l, the distance flown by the meteoroid in its trajectory, as a function of time, t, assuming that the height, h, is a known function of l. The photographic records of meteors and fireballs are coded by time marks, using a rotating shutter or a similar device to break the moving image. Time is, thus, the independent variable and for each time mark on a meteoroid trajector, the observed distance along the trajectory, l sub obs, as well as the double- or multiple- station photographs of the same meteoroid. Applying this solution to all available Prairie Network (PN) fireball-records, we recognized that the majority of them gave good solutions with standard deviations somewhat bigger than the intrinsic geometrical precision of the data. We also noticed that, on an average, previous methods of evaluation of the meteoroid velocities (interpolation polynomials, numerical differenciation of the observed l sub obs) used up to only several tens of percent of the intrinsic precision of the PN observational data. When residuals of these solutions, i.e. l sub obs - l sub com, were represented as a function of time for about 75 percent of solutions. The remaining 25 percent of residuals showed systematic changes with time exceeding one standard deviation. We tried to explain these systematic time course of residuals by using different meteoroids first computed theoretically and then analyzed by the same model as the natural PN fireballs were. The conclusion of these model computations is that systematic time changes of residuals in the nonfragmenting model exceeding one standard of deviation are caused by sudden gross fragmentation at one or more trajectory points. Thus, we generalized the explicit solution of the drag and ablation equations of a single nonfragmenting