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Sample records for activity indicator model

  1. Predicting geomagnetic activity indices

    Complete text of publication follows. Magnetically active times, e.g., Kp > 5, are notoriously difficult to predict, precisely the times when such predictions are crucial to the space weather users. Taking advantage of the routinely available solar wind measurements at Lagrangian point (L1) and nowcast Kps, Kp and Dst forecast models based on neural networks were developed with the focus on improving the forecast for active times. To satisfy different needs and operational constraints, three models were developed: (1) a model that inputs nowcast Kp and solar wind parameters and predicts Kp 1 hr ahead; (2) a model with the same input as model 1 and predicts Kp 4 hr ahead; and (3) a model that inputs only solar wind parameters and predicts Kp 1 hr ahead (the exact prediction lead time depends on the solar wind speed and the location of the solar wind monitor.) Extensive evaluations of these models and other major operational Kp forecast models show that, while the new models can predict Kps more accurately for all activities, the most dramatic improvements occur for moderate and active times. Similar Dst models were developed. Information dynamics analysis of Kp, suggests that geospace is more dominated by internal dynamics near solar minimum than near solar maximum, when it is more directly driven by external inputs, namely solar wind and interplanetary magnetic field (IMF).

  2. Metal ion site engineering indicates a global toggle switch model for seven-transmembrane receptor activation

    Elling, Christian E; Frimurer, Thomas M; Gerlach, Lars-Ole;

    2006-01-01

    to form high affinity metal ion sites in both the bidentate and potential tridentate settings. This indicates that the residues involved in the main ligand-binding pocket will have to move closer to each other during receptor activation. On the basis of the distance constraints from these activating metal...

  3. Chromospheric activity as age indicator

    Pace, Giancarlo

    2013-01-01

    Chromospheric activity has been calibrated and widely used as age indicator. However, it has been suggested that the viability of such an age indicator is, in the best case, limited to stars younger than about 1.5 Gyr. I aim to define the age range for which chromospheric activity is a robust astrophysical clock. I collected literature measurements of the S-index in field stars, which is a measure of the strength of the H and K lines of the Ca II and a proxy for chromospheric activity, and exploited the homogeneous database of temperature and age determinations for field stars provided by the Geneva-Copenhagen survey of the Solar neighbourhood. Field data, inclusive data previously used to calibrate chromospheric ages, confirm the result found using open cluster data, i.e. there is no decay of chromospheric activity after about 2 Gyr. The only existing indication supporting the viability of chromospheric ages larger than 2 Gyr, is the similarity of chromospheric activity levels in the components of 35 dwarf b...

  4. West African monsoon intraseasonal activity and its daily precipitation indices in regional climate models: diagnostics and challenges

    Poan, E. D.; Gachon, P.; Dueymes, G.; Diaconescu, E.; Laprise, R.; Seidou Sanda, I.

    2016-02-01

    The West African monsoon intraseasonal variability has huge socio-economic impacts on local populations but understanding and predicting it still remains a challenge for the weather prediction and climate scientific community. This paper analyses an ensemble of simulations from six regional climate models (RCMs) taking part in the coordinated regional downscaling experiment, the ECMWF ERA-Interim reanalysis (ERAI) and three satellite-based and observationally-constrained daily precipitation datasets, to assess the performance of the RCMs with regard to the intraseasonal variability. A joint analysis of seasonal-mean precipitation and the total column water vapor (also called precipitable water—PW) suggests the existence of important links at different timescales between these two variables over the Sahel and highlights the relevance of using PW to follow the monsoon seasonal cycle. RCMs that fail to represent the seasonal-mean position and amplitude of the meridional gradient of PW show the largest discrepancies with respect to seasonal-mean observed precipitation. For both ERAI and RCMs, spectral decompositions of daily PW as well as rainfall show an overestimation of low-frequency activity (at timescales longer than 10 days) at the expense of the synoptic (timescales shorter than 10 days) activity. Consequently, the effects of the African Easterly Waves and the associated mesoscale convective systems are substantially underestimated, especially over continental regions. Finally, the study investigates the skill of the models with respect to hydro-climatic indices related to the occurrence, intensity and frequency of precipitation events at the intraseasonal scale. Although most of these indices are generally better reproduced with RCMs than reanalysis products, this study indicates that RCMs still need to be improved (especially with respect to their subgrid-scale parameterization schemes) to be able to reproduce the intraseasonal variance spectrum adequately.

  5. Caries activity indicators. A review.

    Wyne A; Guile E

    1993-01-01

    Caries activity is the sum total of new carious lesions and the enlargement of existing cavities during a given time. An objective evaluation of caries activity requires clinical examination of quantification of factors associated with the pathogenesis of caries. Caries activity tests have been in use in dental research and clinical dentistry for years. They are useful in establishing categories of risk for caries, and for targeting specific preventive measures to these groups. They are even ...

  6. Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption

    The growing energy consumption in the residential sector represents about 30% of global demand. This calls for Demand Side Management solutions propelling change in behaviors of end consumers, with the aim to reduce overall consumption as well as shift it to periods in which demand is lower and where the cost of generating energy is lower. Demand Side Management solutions require detailed knowledge about the patterns of energy consumption. The profile of electricity demand in the residential sector is highly correlated with the time of active occupancy of the dwellings; therefore in this study the occupancy patterns in Spanish properties was determined using the 2009–2010 Time Use Survey (TUS), conducted by the National Statistical Institute of Spain. The survey identifies three peaks in active occupancy, which coincide with morning, noon and evening. This information has been used to input into a stochastic model which generates active occupancy profiles of dwellings, with the aim to simulate domestic electricity consumption. TUS data were also used to identify which appliance-related activities could be considered for Demand Side Management solutions during the three peaks of occupancy. -- Highlights: •Active occupancy profiles of Spanish dwellings has been obtained and modeled from Time Use Survey data. •Occupancy profiles resulting from the model can be used to model domestic energy consumption. •The presence of three peaks of active occupation was verified, which coincide with morning, noon and evening. •Manual and incentive-based DSM programmes are considered the most suitable for Spanish dwellings. •TV electricity consumption becomes important at aggregate level

  7. Heme oxygenase activity and some indices of antioxidant protection in rat liver and kidney in glycerol model of rhabdomyolysis.

    Kaliman, P A; Strel'chenko, E V; Nikitchenko, I V; Filimonenko, V P

    2003-01-01

    Activity of heme oxygenase, superoxide dismutase, and catalase, the content of reduced glutathione and total heme in the liver and kidneys, and serum absorption spectrum in the Soret band were studied in rats with glycerol-induced rhabdomyolysis. Glycerol increased the content of heme-containing metabolites in the serum and the total heme content in the liver and kidneys, and decreased the content of reduced glutathione and catalase activity in the examined organs. Superoxide dismutase activity increased in the liver and decreased in the kidneys. Heme oxygenase activity increased in the liver and kidneys 2 and 6 h postinjection, respectively. The effects of heme delivered to the liver and kidneys from the vascular bed on the antioxidant defense and heme oxygenase activity were studied. PMID:12717508

  8. Model performance indicators ERP systems

    Yaghubi, Setare; Modiri, Nasser; Rafighi, Masoud

    2014-01-01

    Implementation process ERP is complex and expensive process. Typically always be faced with many failures. Successfully implemented in an organization has many challenges. Organizations in the deployment and success of the system depends on several factors.One of the key factors in the successful deployment of systems methodology is the implementation process. Methodology has several indicators for successful implementation of ERP systems, we have examined. And indicators for each of the meth...

  9. Should researchers use single indicators, best indicators, or multiple indicators in structural equation models?

    Hayduk Leslie A

    2012-10-01

    Full Text Available Abstract Background Structural equation modeling developed as a statistical melding of path analysis and factor analysis that obscured a fundamental tension between a factor preference for multiple indicators and path modeling’s openness to fewer indicators. Discussion Multiple indicators hamper theory by unnecessarily restricting the number of modeled latents. Using the few best indicators – possibly even the single best indicator of each latent – encourages development of theoretically sophisticated models. Additional latent variables permit stronger statistical control of potential confounders, and encourage detailed investigation of mediating causal mechanisms. Summary We recommend the use of the few best indicators. One or two indicators are often sufficient, but three indicators may occasionally be helpful. More than three indicators are rarely warranted because additional redundant indicators provide less research benefit than single indicators of additional latent variables. Scales created from multiple indicators can introduce additional problems, and are prone to being less desirable than either single or multiple indicators.

  10. Patch-occupancy models indicate human activity as major determinant of forest elephant Loxodonta cyclotis seasonal distribution in an industrial corridor in Gabon

    Buij, R.; McShea, W.J.; Campbell, P.; Lee, M.E.; Dallmeier, F.; Guimondou, S.; Mackaga, L.; Guisseougou, N.; Mboumba, S.; Hines, J.E.; Nichols, J.D.; Alonso, A.

    2007-01-01

    The importance of human activity and ecological features in influencing African forest elephant ranging behaviour was investigated in the Rabi-Ndogo corridor of the Gamba Complex of Protected Areas in southwest Gabon. Locations in a wide geographical area with a range of environmental variables were selected for patch-occupancy surveys using elephant dung to assess seasonal presence and absence of elephants. Patch-occupancy procedures allowed for covariate modelling evaluating hypotheses for both occupancy in relation to human activity and ecological features, and detection probability in relation to vegetation density. The best fitting models for old and fresh dung data sets indicate that (1) detection probability for elephant dung is negatively related to the relative density of the vegetation, and (2) human activity, such as presence and infrastructure, are more closely associated with elephant distribution patterns than are ecological features, such as the presence of wetlands and preferred fresh fruit. Our findings emphasize the sensitivity of elephants to human disturbance, in this case infrastructure development associated with gas and oil production. Patch-occupancy methodology offers a viable alternative to current transect protocols for monitoring programs with multiple covariates.

  11. Modeling Chaotic Behavior of Chittagong Stock Indices

    Shipra Banik

    2012-01-01

    Full Text Available Stock market prediction is an important area of financial forecasting, which attracts great interest to stock buyers and sellers, stock investors, policy makers, applied researchers, and many others who are involved in the capital market. In this paper, a comparative study has been conducted to predict stock index values using soft computing models and time series model. Paying attention to the applied econometric noises because our considered series are time series, we predict Chittagong stock indices for the period from January 1, 2005 to May 5, 2011. We have used well-known models such as, the genetic algorithm (GA model and the adaptive network fuzzy integrated system (ANFIS model as soft computing forecasting models. Very widely used forecasting models in applied time series econometrics, namely, the generalized autoregressive conditional heteroscedastic (GARCH model is considered as time series model. Our findings have revealed that the use of soft computing models is more successful than the considered time series model.

  12. Density contrast indicators in cosmological dust models

    Filipe C Mena; Reza Tavakol

    2000-10-01

    We discuss ways of quantifying structuration in relativistic cosmological settings, by employing a family of covariant density constrast indicators. We study the evolution of these indicators with time in the context of inhomogeneous Szekeres models. We find that different observers (having either different spatial locations or different indicators) see different evolutions for the density contrast, which may or may not be monotonically increasing with time. We also find that monotonicity seems to be related to the initial conditions of the model, which may be of potential interest in connection with debates regarding gravitational entropy and the arrow of time.

  13. The braking indices in pulsar emission models

    Wu, F; Gil, J; Gil, Janusz

    2003-01-01

    Using the method proposed in a previous paper, we calculate pulsar braking indices in the models with torque contributions from both inner and outer accelerating regions, assuming that the interaction between them is negligible. We suggest that it is likely that the inverse Compton scattering induced polar vacuum gap and the outer gap coexist in the pulsar magnetosphere. We include the new near threshold vacuum gap models with curvature-radiation and inverse Compton scattering induced cascades, respectively; and find that these models can well reproduce the measured values of the braking indices.

  14. Multiple Indicators, Multiple Causes Measurement Error Models

    Tekwe, Carmen D.; Carter, Randy L.; Cullings, Harry M.; Carroll, Raymond J.

    2014-01-01

    Multiple Indicators, Multiple Causes Models (MIMIC) are often employed by researchers studying the effects of an unobservable latent variable on a set of outcomes, when causes of the latent variable are observed. There are times however when the causes of the latent variable are not observed because measurements of the causal variable are contaminated by measurement error. The objectives of this paper are: (1) to develop a novel model by extending the classical linear MIMIC model to allow bot...

  15. Gold resource modeling using pod indicator kriging

    Bargawa, Waterman Sulistyana; Rauf, Abdul; Amri, Nur Ali

    2016-02-01

    This paper describes an implementation of the pod indicator kriging method used to gold resource modeling. Method such as ordinary kriging estimate the mean grade of a block that is fairly large. The usual outcome is that large blocks rarely turn out to be all ore or all waste, thus making reserve estimates an incorrect estimate of what will be mined. Pod indicator kriging offers a solution to this problem by estimating the distribution of grade values within a large block, rather than just estimating the mean grade of the block. Knowing the distribution of grade value within the block, it is then easy to calculate the proportion of the block that is above cutoff grade and the grade of the ore above cutoff grade. This research shows that the pod indicator kriging model is quite applicable and reliable in gold resourcemodeling.

  16. Optical indicators of plant physiolgical activity

    Kováč, Daniel; Ač, Alexander; Šigut, Ladislav; Klem, Karel; Urban, Otmar

    2012-01-01

    Roč. 60, č. 3 (2012), s. 101-110. ISSN 1211-8516 R&D Projects: GA MŠk(CZ) ED1.1.00/02.0073; GA MŽP(CZ) SP/2D1/70/08 Institutional support: RVO:67179843 Keywords : Picea abies * refl ectance * vegetation indices * photosynthesis * ecophysiology Subject RIV: EH - Ecology, Behaviour

  17. Power law models of stock indices

    Tse, Man Kit

    Viewing the stock market as a self-organized system, Sornette and Johansen introduced physics-based models to study the dynamics of stock market crashes from the perspective of complex systems. This involved modeling stock market Indices using a mathematical power law exhibiting log-periodicity as the system approaches a market crash, which acts like a critical point in a thermodynamic system. In this dissertation, I aim to investigate stock indices to determine whether or not they exhibit log-periodic oscillations, according to the models proposed by Sornette, as they approach a crash. In addition to analyzing stock market crashes in the frequency domain using the discrete Fourier transform and the Lomb-Scargle periodogram, I perform a detailed analysis of the stock market crash models through parameter estimation and model testing. I find that the probability landscapes have a complex topography and that there is very little evidence that these phase transition-based models accurately describe stock market crashes.

  18. Environmental policy indicators: A systems model

    Cummings, Leslie Edwards; Cayer, N. Joseph

    1993-09-01

    This article describes and tests a systems theory-based policy indicators model. The framework is used to examine propositions about linkages between states' ecological-spatial characteristics and subsequent selected solid waste management (SWM) -related environmental policies. It was hypothesized that state characteristics of: (1) population density (used as a garbage-per-land area index), (2) population convergence within urban areas, and (3) percent population change in the interval 1980 1985, could jointly explain state variation in both the number and the vigor of SWM policy outputs. Greater levels of spatial pressure were proposed to be related directly to more numerous, more convincing policies. Proposals are grounded in the literature of organizational search theory, crisis stimulation, and technological pressure. Results revealed that the sociospatial model in fact could explain a reasonable proportion of policy variation across states. However, not all hypotheses are supported. Population change shows an indirect, rather than the anticipated direct, relationship with policy output levels. In addition, when used in the model as a pollution intensity index, population density failed to contribute significantly to an explanation of differences in state SWM policy levels. The analysis raises questions about changes occurring over time in the nature and direction of linkages between sociospatial measures and policy responses. This study suggests that strengthening policy indicator models may require questioning key assumptions and theoretical bases, conducting longitudinal studies, and factoring in political, economic, and other policy environment forces.

  19. Activity in the fronto-parietal network indicates numerical inductive reasoning beyond calculation: An fMRI study combined with a cognitive model

    Liang, Peipeng; Jia, Xiuqin; Taatgen, Niels A.; Borst, Jelmer P.; Li, Kuncheng

    2016-01-01

    Numerical inductive reasoning refers to the process of identifying and extrapolating the rule involved in numeric materials. It is associated with calculation, and shares the common activation of the fronto-parietal regions with calculation, which suggests that numerical inductive reasoning may correspond to a general calculation process. However, compared with calculation, rule identification is critical and unique to reasoning. Previous studies have established the central role of the fronto-parietal network for relational integration during rule identification in numerical inductive reasoning. The current question of interest is whether numerical inductive reasoning exclusively corresponds to calculation or operates beyond calculation, and whether it is possible to distinguish between them based on the activity pattern in the fronto-parietal network. To directly address this issue, three types of problems were created: numerical inductive reasoning, calculation, and perceptual judgment. Our results showed that the fronto-parietal network was more active in numerical inductive reasoning which requires more exchanges between intermediate representations and long-term declarative knowledge during rule identification. These results survived even after controlling for the covariates of response time and error rate. A computational cognitive model was developed using the cognitive architecture ACT-R to account for the behavioral results and brain activity in the fronto-parietal network. PMID:27193284

  20. Activity in the fronto-parietal network indicates numerical inductive reasoning beyond calculation: An fMRI study combined with a cognitive model.

    Liang, Peipeng; Jia, Xiuqin; Taatgen, Niels A; Borst, Jelmer P; Li, Kuncheng

    2016-01-01

    Numerical inductive reasoning refers to the process of identifying and extrapolating the rule involved in numeric materials. It is associated with calculation, and shares the common activation of the fronto-parietal regions with calculation, which suggests that numerical inductive reasoning may correspond to a general calculation process. However, compared with calculation, rule identification is critical and unique to reasoning. Previous studies have established the central role of the fronto-parietal network for relational integration during rule identification in numerical inductive reasoning. The current question of interest is whether numerical inductive reasoning exclusively corresponds to calculation or operates beyond calculation, and whether it is possible to distinguish between them based on the activity pattern in the fronto-parietal network. To directly address this issue, three types of problems were created: numerical inductive reasoning, calculation, and perceptual judgment. Our results showed that the fronto-parietal network was more active in numerical inductive reasoning which requires more exchanges between intermediate representations and long-term declarative knowledge during rule identification. These results survived even after controlling for the covariates of response time and error rate. A computational cognitive model was developed using the cognitive architecture ACT-R to account for the behavioral results and brain activity in the fronto-parietal network. PMID:27193284

  1. GLDAS Land Surface Models based Aridity Indices

    Pande, S.; Ghazanfari, S.

    2011-12-01

    Identification of dryland areas is crucial to guide policy aimed at intervening in water stressed areas and addressing its perennial livelihood or food insecurity. Aridity indices based on spatially relative soil moisture conditions such as NCEP aridity index allow cross comparison of dry conditions between sites. NCEP aridity index is based on the ratio of annual precipitation (supply) to annual potential evaporation (demand). Such an index ignores subannual scale competition between evaporation and drainage functions well as rainfall and temperature regimes. This determines partitioning of annual supply of precipitation into two competing (but met) evaporation and runoff demands. We here introduce aridity indices based on these additional considerations by using soil moisture time series for the past 3 decades from three Land Surface Models (LSM) models and compare it with NCEP index. We analyze global monthly soil moisture time series (385 months) at 1 x 1 degree spatial resolution as modeled by three GLDAS LSMs - VIC, MOSAIC and NOAH. The first eigen vector from Empirical Orthogonal Function (EOF) analysis, as it is the most dominant spatial template of global soil moisture conditions, is extracted. Frequency of nonexceedences of this dominant soil moisture mode for a location by other locations is calculated and is used as our proposed aridity index. An area is indexed drier (relative to other areas in the world) if its frequency of nonexceedence is lower. The EOF analysis reveals that their first eigen vector explains approximately 32%, 43% and 47% of variance explained by first 385 eigen vectors for VIC, MOSAIC and NOAH respectively. The temporal coefficients associated with it for all three LSMS show seasonality with a jump in trend around the year 1999 for NOAH and MOSAIC. The VIC aridity index displays a pattern most closely resembling that of NCEP though all LSM based indices isolate dominant dryland areas. However, all three LSMs identify some parts of

  2. Design of a leading indicator for Costa Rican economic activity

    Carlos Chaverri Morales; Diana Van Patten Rivera

    2014-01-01

    This paper presents the results of estimating three leading indicators for the turning points of the economic activity in Costa Rica. This was done following the methodology proposed by the Organization for Economic Cooperation and Development (OECD). The Monthly Economic Activity Index (IMAE in Spanish) was selected as the reference variable.  A total of 270 data series were analyzed including monetary, real and job market variables, as well as price indices, external sector indicators and f...

  3. Activity in the fronto-parietal network indicates numerical inductive reasoning beyond calculation : An fMRI study combined with a cognitive model

    Liang, Peipeng; Jia, Xiuqin; Taatgen, Niels A; Borst, Jelmer P; Li, Kuncheng

    2016-01-01

    Numerical inductive reasoning refers to the process of identifying and extrapolating the rule involved in numeric materials. It is associated with calculation, and shares the common activation of the fronto-parietal regions with calculation, which suggests that numerical inductive reasoning may corr

  4. New RMS-based planetary geomagnetic activity indices

    Complete text of publication follows. Planetary geomagnetic indices aa, am, and Kp are based upon K indices measured at sub-auroral geomagnetic observatories. K indices are directly related to the range during 3-hour intervals of the irregular variations in the horizontal components of the magnetic field. Various geophysical problems such as e.g., the precise monitoring of the main magnetic field from satellite magnetic data need information on the longitude modulation of the geomagnetic activity. Others such as, e.g., the monitoring of the thermosphere/ionosphere response to geomagnetic storms need information with a time resolution smaller than 3 hours. Therefore, the International Service of Geomagnetic Indices, now hosted by LATMOS, has developed new geomagnetic activity indices: - The longitude sector geomagnetic activity indices based upon K indices from subauroral latitude observatories are well suited to provide the magnetic activity variation with longitude during a given UT time interval. - The rms planetary indices are based on another proxy of the magnetic energy, namely the root mean square (rms) of the irregular variations in the magnetic horizontal components. Using such proxy does not put constraints on the length of the time interval over which the indices are derived. Local rms indices can be computed at each observatory, and rms planetary indices derived following algorithms similar to those used for am, or aa planetary geomagnetic indices derivation. Such indices are computed over time intervals significantly shorter than 3 hours (typically few tens of minutes). The contribution of longitude sector indices and planetary rms indices will be illustrated by means of examples taken from studies of the thermosphere response to geomagnetic activity forcing.

  5. Performance indicators at Embalse NPP: PSA and safety system indicators based on PSA models

    Several indicators have been implemented at Embalse NPP. The objective was selecting some representative parameters to evaluate the performance of both the plant and the personnel activities, important for safety. A first set of indicators was defined in accordance with plant technical staff criteria. A complementary set of them was addressed later based on WANO guidance. This report presents the set of indicators used at Embalse NPP, centering the description to related to safety systems performance indicators (SSPI). Some considerations are done about the calculation methods, the need for aligning and updating their values following Embalse Probabilistic Safety Assessment (PSA) development, and some pros and cons of using the PSA model for getting systems indicators. Owing to the fact that PSA ownership by utilities is also a subject of the meeting, some characteristics of the organization of the PSA Project are described at the beginning of the report. At Embalse NPP a Level 1 PSA has been developed under the responsibility of its own plant and with an important contribution from the IAEA. PSA was developed at the site, conducting this to a study strongly interactive with the station staff. (author)

  6. Modelling Dynamics of Main Economic Indicators of an Enterprise

    Sherstennykov Yurii V.

    2014-03-01

    Full Text Available The article develops an economic and mathematical model of dynamics of main economic indicators of an enterprise, reflected in six book-keeping accounts with consideration of logistics and interrelation with current market characteristics and needs of products consumers. It applies this model for a quantitative study of influence of an advertising campaign and seasonality upon quantitative indicators of economic activity of the enterprise. The enterprise operation programme includes internal financial and economic procedures, which ensure the production process, and also connection with suppliers and buyers (customers. When setting different initial conditions, it is possible to trace transitional processes and enterprise entering (under favourable conditions the stationary mode of operation or its laying-off (in case of insufficiency of circulating funds. The developed model contains many parameters, which allow not only study of dependence of enterprise operation on alteration of one of them but also optimisation of economic conditions of functioning.

  7. UV-Activated Luminescence/Colourimetric O2 Indicator

    Andrew Mills

    2008-01-01

    Full Text Available An oxygen indicator is described, comprising nanoparticles of titania dispersed in hydroxyethyl cellulose (HEC polymer film containing a sacrificial electron donor, glycerol, and the redox indicator, indigo-tetrasulfonate (ITS. The indicator is blue- coloured in the absence of UV light, however upon exposure to UV light it not only loses its colour but also luminesces, unless and until it is exposed to oxygen, whereupon its original colour is restored. The initial photobleaching spectral (absorbance and luminescence response characteristics in air and in vacuum are described and discussed in terms of a simple reaction scheme involving UV activation of the titania photocatalyst particles, which are used to reduce the redox dye, ITS, to its leuco form, whilst simultaneously oxidising the glycerol to glyceraldehye. The response characteristics of the activated, that is, UV photobleached, form of the indicator to oxygen are also reported and the possible uses of such an indicator to measure ambient O2 levels are discussed.

  8. Geomorphic Indices in the Assessment of Tectonic Activity in Forearc of the Active Mexican Subduction Zone

    Gaidzik, K.; Ramirez-Herrera, M. T.

    2015-12-01

    Rapid development of GIS techniques and constant advancement of digital elevation models significantly improved the accuracy of extraction of information on active tectonics from landscape features. Numerous attempts were made to quantitatively evaluate recent tectonic activity using GIS and DEMs, and a set of geomorphic indices (GI), however these studies focused mainly on sub-basins or small-scale areal units. In forearc regions where crustal deformation is usually large-scale and do not concentrate only along one specific fault, an assessment of the complete basin is more accurate. We present here the first attempt to implement thirteen GI in the assessment of active tectonics of a forearc region of an active convergent margin using the entire river basins. The GIs were divided into groups: BTAI - basin geomorphic indices (reflecting areal erosion vs. tectonics) and STAI - stream geomorphic indices (reflecting vertical erosion vs. tectonics). We calculated selected indices for 9 large (> 450 km2) drainage basins. Then we categorized the obtained results of each index into three classes of relative tectonic activity: 1 - high, 2 - moderate, and 3 - low. Finally we averaged these classes for each basin to determine the tectonic activity level (TAI). The analysis for the case study area, the Guerrero sector at the Mexican subduction zone, revealed high tectonic activity in this area, particularly in its central and, to a lesser degree, eastern part. This pattern agrees with and is supported by interpretation of satellite images and DEM, and field observations. The results proved that the proposed approach indeed allows identification and recognition of areas witnessing recent tectonic deformation. Moreover, our results indicated that, even though no large earthquake has been recorded in this sector for more than 100 years, the area is highly active and may represent a seismic hazard for the region.

  9. Design of a leading indicator for Costa Rican economic activity

    Carlos Chaverri Morales

    2014-08-01

    Full Text Available This paper presents the results of estimating three leading indicators for the turning points of the economic activity in Costa Rica. This was done following the methodology proposed by the Organization for Economic Cooperation and Development (OECD. The Monthly Economic Activity Index (IMAE in Spanish was selected as the reference variable.  A total of 270 data series were analyzed including monetary, real and job market variables, as well as price indices, external sector indicators and fiscal sector variables. The real sector information was disaggregated into three levels, which included the classification of data at an industrial level using the International Standard Industrial Classification (ISIC with two digits, information from the agricultural sector based on the Central Product Classification (CPC and information from the manufacturing sector.  A leading indicator was developed for each level of aggregation, resulting in average leads of 7 to 12 months compared to the reference variable.

  10. Constructing Global Production Activity Indices: The Chemical Industry

    Saswati Mahapatra; Thomas K Swift

    2012-01-01

    This article first presents the challenges involved in constructing consistent, timely, and reliable short-term measures of national, regional, and global industry activity. The chemical industry is used as a case study. Second, this article presents the comparison of the movement or fluctuations in industrial production indices and chemical production indices that aid in determining if production in the chemical industry can be used as a proxy for total production in an economy. The American...

  11. Extracellular Enzyme Activity assay as indicator of soil microbial functional diversity and activity

    Hendriksen, Niels Bohse; Winding, Anne

    2012-01-01

    Extracellular Enzyme Activity assay as indicator of soil microbial functional diversity and activity Niels Bohse Hendriksen, Anne Winding. Department of Environmental Science, Aarhus University, 4000 Roskilde, Denmark Soil enzymes originate from a variety of organisms, notably fungi and bacteria...... and especially hydrolytic extracellular enzymes are of pivotal importance for decomposition of organic substrates and biogeochemical cycling. Their activity reflects the functional diversity and activity of the microorganisms involved in decomposition processes which are essential processes for soil...... functioning and soil ecosystem services. The soil enzyme activity has been measured by the use of fluorogenic model substrates e.g. methylumbelliferyl (MUF) substrates for a number of enzymes involved in the degradation of polysaccharides as cellulose, hemicellulose and chitin, while degradation of proteins...

  12. Enzyme activities by indicator of quality in organic soil

    Raigon Jiménez, Mo; Fita, Ana Delores; Rodriguez Burruezo, Adrián

    2016-04-01

    The analytical determination of biochemical parameters, as soil enzyme activities and those related to the microbial biomass is growing importance by biological indicator in soil science studies. The metabolic activity in soil is responsible of important processes such as mineralization and humification of organic matter. These biological reactions will affect other key processes involved with elements like carbon, nitrogen and phosphorus , and all transformations related in soil microbial biomass. The determination of biochemical parameters is useful in studies carried out on organic soil where microbial processes that are key to their conservation can be analyzed through parameters of the metabolic activity of these soils. The main objective of this work is to apply analytical methodologies of enzyme activities in soil collections of different physicochemical characteristics. There have been selective sampling of natural soils, organic farming soils, conventional farming soils and urban soils. The soils have been properly identified conserved at 4 ° C until analysis. The enzyme activities determinations have been: catalase, urease, cellulase, dehydrogenase and alkaline phosphatase, which bring together a representative group of biological transformations that occur in the soil environment. The results indicate that for natural and agronomic soil collections, the values of the enzymatic activities are within the ranges established for forestry and agricultural soils. Organic soils are generally higher level of enzymatic, regardless activity of the enzyme involved. Soil near an urban area, levels of activities have been significantly reduced. The vegetation cover applied to organic soils, results in greater enzymatic activity. So the quality of these soils, defined as the ability to maintain their biological productivity is increased with the use of cover crops, whether or spontaneous species. The practice of cover based on legumes could be used as an ideal choice

  13. ABOUT THE KEY PERFORMANCE INDICATORS OF SCIENTIFIC ACTIVITIES

    Orlov A. I.

    2015-09-01

    Full Text Available Of the many urgent problems of Science about Science, we consider methods for estimation of the effectiveness and quality of the scientific activities of the researcher, of the organization, of the magazine. Performance indicators of scientific activity are used as an important part in the estimation of higher education institutions, the innovative capacity of enterprises, etc. To estimate the effectiveness of scientific activity is natural to use intellectual tools which are well-established in other subject areas. This will include, in particular, the balanced scorecard, based on key performance indicators (hence the title of this article, as well as controlling, primarily controlling of research activities. There are two more developed and widely used tools for estimation the effectiveness of the scientific activity - the scientometric indicators and the expert estimators. Their critical analysis is the subject of this article. Different versions of manipulating of values of scientometric indicators in the Russian Federation, in our estimation, are still relatively rare. Perhaps this is due to the relatively short period of their use in the management of science. Since an indicator such as citation index (the number of citations of publications of researcher, allows estimating its contribution to science, the use of this scientometric indicator for the management of science is justified. At the same time, the number of publications and especially h-index is not possible to objectively estimate the effectiveness of research activities, particularly in view of the properties of the real bibliometric databases. Expert procedures have several disadvantages. In this article we discuss the real effectiveness of expert procedures in the areas of their application, as conferring academic degrees and elections to the National Academy of Sciences (primarily in the Russian Academy of Sciences. The basic principles of expertise in these areas remain the

  14. A new serum indicator of activity of interstitial pneumonitis

    Serum levels of a high molecular weight circulating antigen KL-6, which is detected by sandwich assay using a monoclonal antibody KL-6 against a sialylated carbohydrate antigen, were examined for usefulness in monitoring the activity of interstitial pneumonitis. Of the 59 interstitial pneumonitis patients, 34 (58%) exhibited abnormally high levels of KL-6 antigen in their sera and no significant correlation between serum KL-6 values and lactic dehydrogenase activities was noted. Moreover, KL-6 antigen levels showed a positive correlation with the degree of clinical activity of the disease as measured by 67Ga-citrate scintigram and clinical outcome over time. These data suggest that serum KL-6 antigen may be a new useful indicator for estimating the degree of activity of interstitial pneumonitis, although it cannot be used for differential diagnosis of this disease from other malignant and nonmalignant diseases showing abnormally high levels of KL-6 antigen. (author)

  15. Active Player Modelling

    Togelius, Julian; Shaker, Noor; Yannakakis, Georgios N.

    2013-01-01

    We argue for the use of active learning methods for player modelling. In active learning, the learning algorithm chooses where to sample the search space so as to optimise learning progress. We hypothesise that player modelling based on active learning could result in vastly more efficient learning, but will require big changes in how data is collected. Some example active player modelling scenarios are described. A particular form of active learning is also equivalent to an influential forma...

  16. Constraint on 't Hooft indices in preon models with complementarity

    We reexamine the SU(7) preon model of Dimopoulos, Raby, and Susskind that is the only model known to violate the conjecture that the 't Hooft indices for composite models satisfying complementarity are bounded in magnitude by 1. We show that the SU(7) model is in accord with this conjecture due to the hidden ''family symmetry'' SU(2)

  17. Sensitivity of Fit Indices to Misspecification in Growth Curve Models

    Wu, Wei; West, Stephen G.

    2010-01-01

    This study investigated the sensitivity of fit indices to model misspecification in within-individual covariance structure, between-individual covariance structure, and marginal mean structure in growth curve models. Five commonly used fit indices were examined, including the likelihood ratio test statistic, root mean square error of…

  18. Active fiber optic technologies used as tamper-indicating devices

    The Sandia National Laboratories (SNL) Safeguards and Seals Evaluation Program is evaluating new fiber optic active seal technologies for use at Department of Energy (DOE) facilities. The goal of the program is to investigate active seal technologies that can monitor secured containers storing special nuclear materials (SNM) within DOE vaults. Specifically investigated were active seal technologies that can be used as tamper-indicating devices to monitor secured containers within vaults while personnel remain outside the vault area. Such a system would allow minimal access into vaults while ensuring container content accountability. The purpose of this report is to discuss tamper-indicating devices that were evaluated for possible DOE use. While previous seal evaluations (Phase I and II) considered overall facility applications, this discussion focuses specifically on their use in vault storage situations. The report will highlight general background information, specifications and requirements, and test procedures. Also discussed are the systems available from four manufacturers: Interactive Technologies, Inc., Fiber SenSys, Inc., Inovonics, Inc., and Valve Security Systems

  19. Active fiber optic technologies used as tamper-indicating devices

    Horton, P.R.V.; Waddoups, I.G.

    1995-11-01

    The Sandia National Laboratories (SNL) Safeguards and Seals Evaluation Program is evaluating new fiber optic active seal technologies for use at Department of Energy (DOE) facilities. The goal of the program is to investigate active seal technologies that can monitor secured containers storing special nuclear materials (SNM) within DOE vaults. Specifically investigated were active seal technologies that can be used as tamper-indicating devices to monitor secured containers within vaults while personnel remain outside the vault area. Such a system would allow minimal access into vaults while ensuring container content accountability. The purpose of this report is to discuss tamper-indicating devices that were evaluated for possible DOE use. While previous seal evaluations (Phase I and II) considered overall facility applications, this discussion focuses specifically on their use in vault storage situations. The report will highlight general background information, specifications and requirements, and test procedures. Also discussed are the systems available from four manufacturers: Interactive Technologies, Inc., Fiber SenSys, Inc., Inovonics, Inc., and Valve Security Systems.

  20. Heuristic model selection for leading indicators in Russia and Germany

    Savin, Ivan; Winker, Peter

    2011-01-01

    Business tendency survey indicators are widely recognized as a key instrument for business cycle forecasting. Their leading indicator property is assessed with regard to forecasting industrial production in Russia and Germany. For this purpose, vector autoregressive (VAR) models are specified and estimated to construct forecasts. As the potential number of lags included is large, we compare full–specified VAR models with subset models obtained using a Genetic Algorithm enabling ’holes’ in mul...

  1. ELECTRONIC TRANSACTIONS AS HIGH-FREQUENCY INDICATORS OF ECONOMICS ACTIVITY

    John Galbraith; Greg Tkacz

    2008-01-01

    Since the advent of standard national accounts data over 60 years ago, economists have relied on monthly or quarterly data supplied by central statistical agencies for macroeconomics modelling and forecasting. However, technological advances of the past several years have resulted in new high-frequency data sources that could potentially provide more accurate and timely information on the current level of economic activity. In this paper we explore the usefulness of electronic transactions as...

  2. Electronic transactions as high-frequency indicators of economic activity

    Galbraith, John W.; Tkacz, Greg

    2007-01-01

    Since the advent of standard national accounts data over 60 years ago, economists have traditionally relied on monthly or quarterly data supplied by central statistical agencies for macroeconomic modelling and forecasting. However, technological advances of the past several years have resulted in new high-frequency data sources that could potentially provide more accurate and timely information on the current level of economic activity. In this paper we explore the usefulness of electronic tr...

  3. Sensitive red protein calcium indicators for imaging neural activity.

    Dana, Hod; Mohar, Boaz; Sun, Yi; Narayan, Sujatha; Gordus, Andrew; Hasseman, Jeremy P; Tsegaye, Getahun; Holt, Graham T; Hu, Amy; Walpita, Deepika; Patel, Ronak; Macklin, John J; Bargmann, Cornelia I; Ahrens, Misha B; Schreiter, Eric R; Jayaraman, Vivek; Looger, Loren L; Svoboda, Karel; Kim, Douglas S

    2016-01-01

    Genetically encoded calcium indicators (GECIs) allow measurement of activity in large populations of neurons and in small neuronal compartments, over times of milliseconds to months. Although GFP-based GECIs are widely used for in vivo neurophysiology, GECIs with red-shifted excitation and emission spectra have advantages for in vivo imaging because of reduced scattering and absorption in tissue, and a consequent reduction in phototoxicity. However, current red GECIs are inferior to the state-of-the-art GFP-based GCaMP6 indicators for detecting and quantifying neural activity. Here we present improved red GECIs based on mRuby (jRCaMP1a, b) and mApple (jRGECO1a), with sensitivity comparable to GCaMP6. We characterized the performance of the new red GECIs in cultured neurons and in mouse, Drosophila, zebrafish and C. elegans in vivo. Red GECIs facilitate deep-tissue imaging, dual-color imaging together with GFP-based reporters, and the use of optogenetics in combination with calcium imaging. PMID:27011354

  4. Nitrate pollution risk assessment : from the model to the indicator

    Lacroix, Anne; Laurent, François; Ruelland, Denis; Sauboua, Emmanuelle

    2006-01-01

    The diffuse nature of nitrate pollution makes it difficult to evaluate existing or planned measures to reduce it. Tools are therefore been developed to assess this pollution, ranging from simple indicators to complex models. The aim of this paper is to compare indicators and models by analysing results obtained from their individual application to the same area. The pros and cons of each approach are evaluated in terms of both the conditions of their implementation and the results obtained. T...

  5. Variance-based sensitivity indices for models with dependent inputs

    Computational models are intensively used in engineering for risk analysis or prediction of future outcomes. Uncertainty and sensitivity analyses are of great help in these purposes. Although several methods exist to perform variance-based sensitivity analysis of model output with independent inputs only a few are proposed in the literature in the case of dependent inputs. This is explained by the fact that the theoretical framework for the independent case is set and a univocal set of variance-based sensitivity indices is defined. In the present work, we propose a set of variance-based sensitivity indices to perform sensitivity analysis of models with dependent inputs. These measures allow us to distinguish between the mutual dependent contribution and the independent contribution of an input to the model response variance. Their definition relies on a specific orthogonalisation of the inputs and ANOVA-representations of the model output. In the applications, we show the interest of the new sensitivity indices for model simplification setting. - Highlights: ► Uncertainty and sensitivity analyses are of great help in engineering. ► Several methods exist to perform variance-based sensitivity analysis of model output with independent inputs. ► We define a set of variance-based sensitivity indices for models with dependent inputs. ► Inputs mutual contributions are distinguished from their independent contributions. ► Analytical and computational tests are performed and discussed.

  6. Regionalized rainfall-runoff model to estimate low flow indices

    Garcia, Florine; Folton, Nathalie; Oudin, Ludovic

    2016-04-01

    Estimating low flow indices is of paramount importance to manage water resources and risk assessments. These indices are derived from river discharges which are measured at gauged stations. However, the lack of observations at ungauged sites bring the necessity of developing methods to estimate these low flow indices from observed discharges in neighboring catchments and from catchment characteristics. Different estimation methods exist. Regression or geostatistical methods performed on the low flow indices are the most common types of methods. Another less common method consists in regionalizing rainfall-runoff model parameters, from catchment characteristics or by spatial proximity, to estimate low flow indices from simulated hydrographs. Irstea developed GR2M-LoiEau, a conceptual monthly rainfall-runoff model, combined with a regionalized model of snow storage and melt. GR2M-LoiEau relies on only two parameters, which are regionalized and mapped throughout France. This model allows to cartography monthly reference low flow indices. The inputs data come from SAFRAN, the distributed mesoscale atmospheric analysis system, which provides daily solid and liquid precipitation and temperature data from everywhere in the French territory. To exploit fully these data and to estimate daily low flow indices, a new version of GR-LoiEau has been developed at a daily time step. The aim of this work is to develop and regionalize a GR-LoiEau model that can provide any daily, monthly or annual estimations of low flow indices, yet keeping only a few parameters, which is a major advantage to regionalize them. This work includes two parts. On the one hand, a daily conceptual rainfall-runoff model is developed with only three parameters in order to simulate daily and monthly low flow indices, mean annual runoff and seasonality. On the other hand, different regionalization methods, based on spatial proximity and similarity, are tested to estimate the model parameters and to simulate

  7. Biochemical and hematological indicators in model of total body irradiation

    With the purpose of evaluating the applicability of several biological indicators in accidental overexposures a study was carried out in 20 patients undergoing therapeutical total body irradiation (TBI). The following parameters were evaluated: a) Oxidative stress indicators: erythrocyte superoxide dismutase (SOD) and catalase activity (CAT), lipo peroxyde levels (TBARS) and total plasma antioxidant activity (TAA). b) Haematological indicators: reticulocyte maturity index (RMI) and charges in lymphocyte subpopulations. Non significant changes in SOD and CAT activity were observed. Significant higher TBARS levels were found in patients with unfavorable post-BTM course without any significant correlation with TAA. RMI decreased early and dropped to zero in most of the patients and rose several days prior to reticulocyte, neutrophils and platelets counts. A significant decrease in absolute counts of all lymphocyte subpopulations was observed during TBI, particularly for B lymphocytes. A subpopulation of natural killer (NK) cells (CD16+/ CD 56 +) showed a relative higher radioresistance. Cytotoxic activity was significantly decreased after TBI. These data suggest that TBARS could provide an useful evolutive indicator in accidental over exposure d patients and RMI is an early indicator of bone marrow recovery after radioinduced aplasia. The implications of the different radiosensitivities within the NK subsets remains unanswered. (author)

  8. Model-based evaluation of scientific impact indicators

    Medo, Matus

    2016-01-01

    Using bibliometric data artificially generated through a model of citation dynamics calibrated on empirical data, we compare several indicators for the scientific impact of individual researchers. The use of such a controlled setup has the advantage of avoiding the biases present in real databases, and allows us to assess which aspects of the model dynamics and which traits of individual researchers a particular indicator actually reflects. We find that the simple citation average performs well in capturing the intrinsic scientific ability of researchers, whatever the length of their career. On the other hand, when productivity complements ability in the evaluation process, the notorious $h$ and $g$ indices reveal their potential, yet their normalized variants do not always yield a fair comparison between researchers at different career stages. Notably, the use of logarithmic units for citation counts allows us to build simple indicators with performance equal to that of $h$ and $g$. Our analysis may provide ...

  9. RECEIVED SIGNAL STRENGTH INDICATION MODELING IN INDOOR WIRELESS SENSOR NETWORKS

    Edson Taira Procopio

    2013-01-01

    Full Text Available This study aims to identify mathematical models that represent the relation between Received Signal Strength Indication (RSSI and objects in an indoor Wireless Sensor Network (WSN. Using the Least Squares Method, four linear models have been identified: The first one relates uplink RSSI and objects; the second one relates downlink RSSI and objects; the third one relates uplink RSSI and obstacles and the fourth one relates downlink RSSI and obstacles. The obtained results, characterized by small residual values, attest the validation of all four models.

  10. Environmental indicators and international models for making decision

    The last international features proposed by the Organization for Economic Cooperation Development (OECD) and United Nations (UN) are analyzed in the use of the environmental indicators, in typology, selection criteria, and models, for organizing the information for management, environmental performance, and decision making. The advantages and disadvantages of each model are analyzed, as well as their environmental index characteristics. The analyzed models are Pressure - State - Response (PSR) and its conceptual developments: Driving Force - State Response (DSR), Driving Force - Pressure - State - Impact - Response (DPSIR), Model- Flow-Quality (MFQ), Pressure - State - Impact - Effect - Response (PSIER), and, finally, Pressure-State - Impact - Effect - Response - Management (PSIERM). The use of one or another model will depend on the quality of the available information, as well as on the proposed objectives

  11. Activated leukocyte cell adhesion molecule in breast cancer: prognostic indicator

    Activated leukocyte cell adhesion molecule (ALCAM) (CD166) is an immunoglobulin molecule that has been implicated in cell migration. The present study examined the expression of ALCAM in human breast cancer and assessed its prognostic value. The immunohistochemical distribution and location of ALCAM was assessed in normal breast tissue and carcinoma. The levels of ALCAM transcripts in frozen tissue (normal breast, n = 32; breast cancer, n = 120) were determined using real-time quantitative PCR. The results were then analyzed in relation to clinical data including the tumor type, the grade, the nodal involvement, distant metastases, the tumor, node, metastasis (TNM) stage, the Nottingham Prognostic Index (NPI), and survival over a 6-year follow-up period. Immunohistochemical staining on tissue sections in ducts/acini in normal breast and in breast carcinoma was ALCAM-positive. Differences in the number of ALCAM transcripts were found in different types of breast cancer. The level of ALCAM transcripts was lower (P = 0.05) in tumors from patients who had metastases to regional lymph nodes compared with those patients without, in higher grade tumors compared with Grade 1 tumors (P < 0.01), and in TNM Stage 3 tumors compared with TNM Stage 1 tumors (P < 0.01). Tumors from patients with poor prognosis (with NPI > 5.4) had significantly lower levels (P = 0.014) of ALCAM transcripts compared with patients with good prognosis (with NPI < 3.4), and tumors from patients with local recurrence had significantly lower levels than those patients without local recurrence or metastases (P = 0.04). Notably, tumors from patients who died of breast cancer had significantly lower levels of ALCAM transcripts (P = 0.0041) than those with primary tumors but no metastatic disease or local recurrence. Patients with low levels of ALCAM transcripts had significantly (P = 0.009) more incidents (metastasis, recurrence, death) compared with patients with primary breast tumors with high levels of

  12. Characterization and modeling of urban environmental quality indicators

    Francisco de Assis Cruz Melo; Mariko Ueno

    2013-01-01

    Environmental problems in the urban area of Belém, Pará, Brazil, deny a large portion of the population critical environmental quality. The present study evaluated the environmental quality of the urban village of União, in a neighborhood called Terra Firme, Belém, Pará. An integrated urban environmental quality index was proposed, based on the modeling of indicators of urban environmental quality, urban livability and quality of treated water. These three indices encompass the variables of w...

  13. Characterization and modeling of urban environmental quality indicators

    Francisco de Assis Cruz Melo

    2013-12-01

    Full Text Available Environmental problems in the urban area of Belém, Pará, Brazil, deny a large portion of the population critical environmental quality. The present study evaluated the environmental quality of the urban village of União, in a neighborhood called Terra Firme, Belém, Pará. An integrated urban environmental quality index was proposed, based on the modeling of indicators of urban environmental quality, urban livability and quality of treated water. These three indices encompass the variables of water supply, garbage collection, vegetation, sewage, road paving, infrastructure condition of households, the existence of urban equipment for common use, public transport, accessibility, family income, employment conditions, education and quality of treated water. The results of the indicators are: urban environmental quality index, 50.0 points (indicating a regular level of environmental quality; urban livability index, 48.6 points (representing moderate level of livability; and quality index of the treated water, 98.1 points (which is an optimal level of water quality. The arithmetic average of the three indices generated an integrated urban environmental quality of 65.6 points, a good environmental quality level of the urban village housing in União. The interpretation of this integrated index reflects the indicators measured in each index. We conclude that the modeling of urban environmental quality indicators was an important tool for the analysis of urban environmental quality in micro or macro scales, and this allowed us to propose more efficient management and restructuring of the urban environment.

  14. Business cycles and leading indicators of industrial activity in India

    Mohanty, Jaya; Singh, Bhupal; Jain, Rajeev

    2003-01-01

    The identification of business cycles in India and construction of a composite leading indicator for forecasting the cyclical turning points have been the focus of this study. The cyclical analysis of monthly index of industrial production (IIP) in India applying the Bry-Boschan procedure indicates that there have been 13 growth cycles in the Indian economy with varying durations during 1970-71 to 2001-02. While the average duration of expansion has been 12 months, the recessions are characte...

  15. Convexity in stochastic programming model with indicators of ecological stability

    Houda, Michal

    Karviná: Silesian University in Opava, School of Business Administration in Karviná, 2012 - (Ramík, J.; Stavárek, D.), s. 314-319 ISBN 978-80-7248-779-0. [30th International Conference Mathematical Methods in Economics 2012. Karviná (CZ), 11.09.2012-13.09.2012] R&D Projects: GA ČR GAP402/10/0956 Institutional support: RVO:67985556 Keywords : stochastic programming * convexity * value-at-risk models Subject RIV: BB - Applied Statistics, Operational Research http://library.utia.cas.cz/separaty/2012/E/houda-convexity in stochastic programming model with indicators of ecological stability.pdf

  16. Active Epilepsy as Indicator of Neurocysticercosis in Rural Northwest India

    Gupta, V. P.; Shiveta Razdan; Rajesh Sharma; Pandita, K. K.; Sushil Razdan; Sunil Kumar Raina

    2012-01-01

    Objective. To determine the contribution of neurocysticercosis as a cause for active epilepsy and to establish Neurocysticercosis as major definable risk of epilepsy in our setup. Methods. We conducted a door-to-door survey of 2,209 individuals of Bhore Pind and Bhore Kullian villages in Chattah zone of district Jammu (Jumma and Kashmir, Northwest India) to identify patients with symptomatic epilepsy. Patients with active epilepsy were investigated with neuroimaging techniques to establish di...

  17. DRAFT MODEL FOR CREATING A FINANCIAL INDICATORS OF BRIDGE CONSTRUCTION

    Iveta Strelcova

    2016-04-01

    Full Text Available The paper deals with a problem of developing, defining and applying budgetary indicators of engineering constructions, and particularly bridges. It is a draft of a Model for development of budgetary indicators of bridge construction in the pre-investment phase of a project. It could, according to classification and evaluation in terms of criteria and search for the most accurate valuation unit of complex structures such as bridge construction, serve investors and public administration authorities for rapid investment planning and professional control of completed buildings. Such a unique tool has never been developed in the Czech Republic so far. Bridges as buildings complement any landscape and in the outer parts of cities, they often establish a viewpoint. They belong among important parts of any highway or expressway. Without them, it would be impossible to establish grade-separated crossings with other roads - roads, railway lines or sections of rivers. They are also important in overcoming obstacles of natural and artificial character such as deep valleys, lakes, or steep mountainsides. The aim of the paper is to analyse a current state of the valuation of bridges and the subsequent establishment and validation of the Model for the development of budgetary indicators of the bridge construction.

  18. Indicators of free radical activity in patients developing radiation pneumonitis

    Purpose: Radiation pneumonitis is thought to occur as the result of excess free radical generation following radiotherapy. Various in vitro studies have shown that large doses of irradiation can cause membrane lipid peroxidation and the oxidation of protein sulphuryl groups. We, therefore, studied two circulating markers of lipid peroxidation and an indicator of 'catalytic iron' (potentially available iron to catalyze the generation of free radicals) in patients undergoing radiotherapy. Methods and Materials: The 9,11 diene conjugate of 9,12 linoleic acid, expressed as their molar ratio (percentage molar ratio (MR)) and thiobarbituric acid reactive acid-substances (TBARS), as well as levels of circulating desferrioxamine-chelatable iron assay, were assayed. Serial blood samples were taken over a 3-month period in 25 patients with inoperable nonsmall cell lung cancer. Results: Ten patients developed radiation pneumonitis. The patients who developed pneumonitis showed a tendency for the serum percentage molar ratio to increase after a week. The change in the percentage molar ratio between Time 0 and 1 week of radiotherapy was significantly higher in the group that subsequently developed pneumonitis compared to the group that did not (p = 0.002). The initial serum TBARS levels in patients were not significantly elevated compared to controls and there was no difference in the serum TBARS levels in the pneumonitis and nonpneumonitis groups throughout the study period. After 1 week of radiotherapy the group that subsequently developed pneumonitis had a significantly higher level of desferrioxamine-chelatable iron (DFx-iron) compared with the nonpneumonitis group (p = 0.05). Conclusion: These data suggest that both the percentage MR and DFx-iron appear to reflect an increased susceptibility to develop radiation pneumonitis and after 1 week of radiotherapy they indicate patients who are likely to subsequently develop pneumonitis. Hence, these indicators could indicate the

  19. Generic Modelling of Faecal Indicator Organism Concentrations in the UK

    Carl M. Stapleton

    2011-06-01

    Full Text Available To meet European Water Framework Directive requirements, data are needed on faecal indicator organism (FIO concentrations in rivers to enable the more heavily polluted to be targeted for remedial action. Due to the paucity of FIO data for the UK, especially under high-flow hydrograph event conditions, there is an urgent need by the policy community for generic models that can accurately predict FIO concentrations, thus informing integrated catchment management programmes. This paper reports the development of regression models to predict base- and high-flow faecal coliform (FC and enterococci (EN concentrations for 153 monitoring points across 14 UK catchments, using land cover, population (human and livestock density and other variables that may affect FIO source strength, transport and die-off. Statistically significant models were developed for both FC and EN, with greater explained variance achieved in the high-flow models. Both land cover and, in particular, population variables are significant predictors of FIO concentrations, with r2 maxima for EN of 0.571 and 0.624, respectively. It is argued that the resulting models can be applied, with confidence, to other UK catchments, both to predict FIO concentrations in unmonitored watercourses and evaluate the likely impact of different land use/stocking level and human population change scenarios.

  20. Active Epilepsy as Indicator of Neurocysticercosis in Rural Northwest India

    Sunil Kumar Raina

    2012-01-01

    Full Text Available Objective. To determine the contribution of neurocysticercosis as a cause for active epilepsy and to establish Neurocysticercosis as major definable risk of epilepsy in our setup. Methods. We conducted a door-to-door survey of 2,209 individuals of Bhore Pind and Bhore Kullian villages in Chattah zone of district Jammu (Jumma and Kashmir, Northwest India to identify patients with symptomatic epilepsy. Patients with active epilepsy were investigated with neuroimaging techniques to establish diagnosis of NCC (neurocysticercosis. Results. Among 25 patients with epilepsy 10(40% had CT/MR evidence of past or recent NCC infection. This gave us the point prevalence of 4.5/1000 for Neurocysticercosis in our study population. Interpretation. The study shows a high prevalence of NCC accounting for symptomatic epilepsy in our part of India.

  1. Computational models of epileptiform activity.

    Wendling, Fabrice; Benquet, Pascal; Bartolomei, Fabrice; Jirsa, Viktor

    2016-02-15

    We reviewed computer models that have been developed to reproduce and explain epileptiform activity. Unlike other already-published reviews on computer models of epilepsy, the proposed overview starts from the various types of epileptiform activity encountered during both interictal and ictal periods. Computational models proposed so far in the context of partial and generalized epilepsies are classified according to the following taxonomy: neural mass, neural field, detailed network and formal mathematical models. Insights gained about interictal epileptic spikes and high-frequency oscillations, about fast oscillations at seizure onset, about seizure initiation and propagation, about spike-wave discharges and about status epilepticus are described. This review shows the richness and complementarity of the various modeling approaches as well as the fruitful contribution of the computational neuroscience community in the field of epilepsy research. It shows that models have progressively gained acceptance and are now considered as an efficient way of integrating structural, functional and pathophysiological data about neural systems into "coherent and interpretable views". The advantages, limitations and future of modeling approaches are discussed. Perspectives in epilepsy research and clinical epileptology indicate that very promising directions are foreseen, like model-guided experiments or model-guided therapeutic strategy, among others. PMID:25843066

  2. Bacteria bioluminescent activity as an indicator of geomagnetic disturbances

    The effect of geomagnetic disturbances and storms on bioluminescence activity of bacterium were investigated. The bioluminescence intensity change depended on amplitude and continuous of geomagnetic storms. It is assumed, that the synchronization of luminous radiation take place in cellos when frequency of geomagnetic disturbances approached to an intrinsic one of a bioluminescence system. High sensitivity of bioluminescence of geomagnetic storms was detected. 5 refs., 4 figs

  3. Structure model of energy efficiency indicators and applications

    For the purposes of energy conservation and environmental protection, the government of Taiwan has instigated long-term policies to continuously encourage and assist industry in improving the efficiency of energy utilization. While multiple actions have led to practical energy saving to a limited extent, no strong evidence of improvement in energy efficiency was observed from the energy efficiency indicators (EEI) system, according to the annual national energy statistics and survey. A structural analysis of EEI is needed in order to understand the role that energy efficiency plays in the EEI system. This work uses the Taylor series expansion to develop a structure model for EEI at the level of the process sector of industry. The model is developed on the premise that the design parameters of the process are used in comparison with the operational parameters for energy differences. The utilization index of production capability and the variation index of energy utilization are formulated in the model to describe the differences between EEIs. Both qualitative and quantitative methods for the analysis of energy efficiency and energy savings are derived from the model. Through structural analysis, the model showed that, while the performance of EEI is proportional to the process utilization index of production capability, it is possible that energy may develop in a direction opposite to that of EEI. This helps to explain, at least in part, the inconsistency between EEI and energy savings. An energy-intensive steel plant in Taiwan was selected to show the application of the model. The energy utilization efficiency of the plant was evaluated and the amount of energy that had been saved or over-used in the production process was estimated. Some insights gained from the model outcomes are helpful to further enhance energy efficiency in the plant

  4. The performance indicators of model projects. A special evaluation

    As a result of the acknowledgment of the key role of the Model Project concept in the Agency's Technical Co-operation Programme, the present review of the objectives of the model projects which are now in operation, was undertaken, as recommended by the Board of Governors, to determine at an early stage: the extent to which the present objectives have been defined in a measurable way; whether objectively verifiable performance indicators and success criteria had been identified for each project; whether mechanisms to obtain feedback on the achievements had been foreseen. The overall budget for the 23 model projects, as approved from 1994 to 1998, amounts to $32,557,560, of which 45% is funded by Technical Co-operation Fund. This represents an average investment of about $8 million per year, that is over 15% of the annual TC budget. The conceptual importance of the Model Project initiative, as well as the significant funds allocated to them, led the Secretariat to plan the methods to be used to determine their socio-economic impact. 1 tab

  5. Indicators technology competitive activities of varying skill karate style «kyokushin»

    Natalya Boychenko

    2014-10-01

    Full Text Available Purpose: to identify the main indicators of the art of competitive activity karate different qualifications style «kyokushin» and identify their differences. Material and Methods: analysis of video recordings of highly competitive activity karate; teacher observations; methods of mathematical statistics. Results: based on the analysis of video recordings of competitive activity created a model of technical preparedness karate qualifications. The differences in the technique of competitive activity karate different qualifications. Conclusions: it was found a series of karate techniques with different skills, their frequency of use and effectiveness. Confirmed that in the competitive fight karate qualifications dominated series techniques. It is found that the technique of competitive activity highly skilled athletes is very varied combinations strikes in series of two or three strikes and more.

  6. Modeling Fecal Indicator Bacteria Like Salt in Newport Bay

    Ciglar, A. M.; Rippy, M.; Grant, S. B.

    2015-12-01

    Newport Bay is a harbor and estuary located in Orange County, CA that provides many water sports and recreational activities for millions of southern California residents and tourists. The aim of this study is to quickly assess exceedances of FIB in the Newport Bay which pose a health risk to recreational users. The ability to quickly assess water quality is made possible with an advection-diffusion mass transport model that uses easily measurable parameters such as volumetric flow rate from tributaries. Current FIB assessment methods for Newport Bay take a minimum of 24 hours to evaluate health risk by either culturing for FIB or running a more complex fluid dynamics model. By this time the FIB may have already reached the ocean outlet thus no longer posing a risk in the bay or recreationists may have already come in close contact with contaminated waters. The advection-diffusion model can process and disseminate health risk information within a few hours of flow rate measurements, minimizing time between an FIB exceedance and public awareness about the event. Data used to calibrate and validate the model was collected from January 2006 through February 2007. Salinity data was used for calibration and FIB data was used for validation. Both steady-state and transient conditions were assessed to determine if dry weather patterns can be simplified to the steady-state condition.

  7. Innovative techniques to analyze time series of geomagnetic activity indices

    Balasis, Georgios; Papadimitriou, Constantinos; Daglis, Ioannis A.; Potirakis, Stelios M.; Eftaxias, Konstantinos

    2016-04-01

    Magnetic storms are undoubtedly among the most important phenomena in space physics and also a central subject of space weather. The non-extensive Tsallis entropy has been recently introduced, as an effective complexity measure for the analysis of the geomagnetic activity Dst index. The Tsallis entropy sensitively shows the complexity dissimilarity among different "physiological" (normal) and "pathological" states (intense magnetic storms). More precisely, the Tsallis entropy implies the emergence of two distinct patterns: (i) a pattern associated with the intense magnetic storms, which is characterized by a higher degree of organization, and (ii) a pattern associated with normal periods, which is characterized by a lower degree of organization. Other entropy measures such as Block Entropy, T-Complexity, Approximate Entropy, Sample Entropy and Fuzzy Entropy verify the above mentioned result. Importantly, the wavelet spectral analysis in terms of Hurst exponent, H, also shows the existence of two different patterns: (i) a pattern associated with the intense magnetic storms, which is characterized by a fractional Brownian persistent behavior (ii) a pattern associated with normal periods, which is characterized by a fractional Brownian anti-persistent behavior. Finally, we observe universality in the magnetic storm and earthquake dynamics, on a basis of a modified form of the Gutenberg-Richter law for the Tsallis statistics. This finding suggests a common approach to the interpretation of both phenomena in terms of the same driving physical mechanism. Signatures of discrete scale invariance in Dst time series further supports the aforementioned proposal.

  8. Extracellular enzyme activity assay as indicator of soil microbial functional diversity and activity

    Hendriksen, Niels Bohse; Winding, Anne

    2012-01-01

    Extracellular enzyme activity assay as indicator of soil microbial functional diversity and activity Niels Bohse Hendriksen, Anne Winding. Department of Environmental Science, Aarhus University, 4000 Roskilde, Denmark Soils provide numerous essential ecosystem services such as carbon cycling......, recycling of nutrients and waste, soil remediation, plant growth support and regulation of above ground biodiversity, resilience, and soil suppressiveness. As such, soil ecosystem services are beneficial and vital for human life and at the same time threatened by anthropogenic activities. Increasing...... of soil microbial functions is still needed. In soil, enzymes originate from a variety of organisms, notably fungi and bacteria and especially hydrolytic extracellular enzymes are of pivotal importance for decomposition of organic substrates and biogeochemical cycling. Their activity will reflect the...

  9. Using geochemical indicators to distinguish high biogeochemical activity in floodplain soils and sediments.

    Kenwell, Amy; Navarre-Sitchler, Alexis; Prugue, Rodrigo; Spear, John R; Hering, Amanda S; Maxwell, Reed M; Carroll, Rosemary W H; Williams, Kenneth H

    2016-09-01

    A better understanding of how microbial communities interact with their surroundings in physically and chemically heterogeneous subsurface environments will lead to improved quantification of biogeochemical reactions and associated nutrient cycling. This study develops a methodology to predict potential elevated rates of biogeochemical activity (microbial "hotspots") in subsurface environments by correlating microbial DNA and aspects of the community structure with the spatial distribution of geochemical indicators in subsurface sediments. Multiple linear regression models of simulated precipitation leachate, HCl and hydroxylamine extractable iron and manganese, total organic carbon (TOC), and microbial community structure were used to identify sample characteristics indicative of biogeochemical hotspots within fluvially-derived aquifer sediments and overlying soils. The method has been applied to (a) alluvial materials collected at a former uranium mill site near Rifle, Colorado and (b) relatively undisturbed floodplain deposits (soils and sediments) collected along the East River near Crested Butte, Colorado. At Rifle, 16 alluvial samples were taken from 8 sediment cores, and at the East River, 46 soil/sediment samples were collected across and perpendicular to 3 active meanders and an oxbow meander. Regression models using TOC and TOC combined with extractable iron and manganese results were determined to be the best fitting statistical models of microbial DNA (via 16S rRNA gene analysis). Fitting these models to observations in both contaminated and natural floodplain deposits, and their associated alluvial aquifers, demonstrates the broad applicability of the geochemical indicator based approach. PMID:27145490

  10. Ecotoxicity Effect Indicator for use in the OMNIITOX Base Model

    Larsen, Henrik Fred; Payet, Jerome; Molander, S;

    2004-01-01

    for the estimation of the EFI. However none of these methods are found to be adequately robust and/or able to work on the low data input defined by the OMNIITOX Base Model (BM), i.e. a minimum of three acute EC50 values. Given the fact that the BM should be applicable to a significant number of chemicals......, this requirement follows from the current and the most likely future data availability as defined by the proposed EU chemicals policy REACH. In this paper, a theoretical elaboration of effect-based average approaches (arithmetic mean, geometric mean and median) and the non-effect based approach (PNEC) is made...... focusing on their statistical robustness. Considerations about the possibility to relate the effect indicator to damage on the endpoint, the ecosystem, are also included. The effect-based approaches are tested for their robustness in estimating an HC50 in a practical test on datasets from eleven different...

  11. Environmental problems indicator under environmental modeling toward sustainable development

    P. Sutthichaimethee

    2015-09-01

    Full Text Available This research aims to apply a model to the study and analysis of environmental and natural resource costs created in supply chains of goods and services produced in Thailand, and propose indicators for environmental problem management, caused by goods and services production, based on concepts of sustainable production and consumer behavior. The research showed that the highest environmental cost in terms of Natural Resource Materials was from pipelines and gas distribution, while the lowest was for farming coconuts. The highest environmental cost in terms of Energy and Transportation was for iron and steel. The highest environmental cost in the category of Fertilizer and Pesticides was for oil palm. For Sanitation Services, the highest environmental cost was movie theaters. Overall, the lowest environmental cost for all categories, except Natural Resource Materials, was for petroleum and refineries. Based on the cost index, coconut farming gained the highest Real Benefit to the farm owner, while pipelines and gas distribution had the lowest Real Benefit. If Thailand were to use a similar environmental problem indicator, it could be applied to formulate efficient policy and strategy for the country in three areas, namely social, economic, and environmental development.

  12. Fetal functional brain age assessed from universal developmental indices obtained from neuro-vegetative activity patterns.

    Dirk Hoyer

    Full Text Available Fetal brain development involves the development of the neuro-vegetative (autonomic control that is mediated by the autonomic nervous system (ANS. Disturbances of the fetal brain development have implications for diseases in later postnatal life. In that context, the fetal functional brain age can be altered. Universal principles of developmental biology applied to patterns of autonomic control may allow a functional age assessment. The work aims at the development of a fetal autonomic brain age score (fABAS based on heart rate patterns. We analysed n = 113 recordings in quiet sleep, n = 286 in active sleep, and n = 29 in active awakeness from normals. We estimated fABAS from magnetocardiographic recordings (21.4-40.3 weeks of gestation preclassified in quiet sleep (n = 113, 63 females and active sleep (n = 286, 145 females state by cross-validated multivariate linear regression models in a cross-sectional study. According to universal system developmental principles, we included indices that address increasing fluctuation range, increasing complexity, and pattern formation (skewness, power spectral ratio VLF/LF, pNN5. The resulting models constituted fABAS. fABAS explained 66/63% (coefficient of determination R(2 of training and validation set of the variance by age in quiet, while 51/50% in active sleep. By means of a logistic regression model using fluctuation range and fetal age, quiet and active sleep were automatically reclassified (94.3/93.1% correct classifications. We did not find relevant gender differences. We conclude that functional brain age can be assessed based on universal developmental indices obtained from autonomic control patterns. fABAS reflect normal complex functional brain maturation. The presented normative data are supplemented by an explorative study of 19 fetuses compromised by intrauterine growth restriction. We observed a shift in the state distribution towards active awakeness. The lower WGA

  13. Structure-function analysis indicates that sumoylation modulates DNA-binding activity of STAT1

    Grönholm Juha

    2012-10-01

    Full Text Available Abstract Background STAT1 is an essential transcription factor for interferon-γ-mediated gene responses. A distinct sumoylation consensus site (ψKxE 702IKTE705 is localized in the C-terminal region of STAT1, where Lys703 is a target for PIAS-induced SUMO modification. Several studies indicate that sumoylation has an inhibitory role on STAT1-mediated gene expression but the molecular mechanisms are not fully understood. Results Here, we have performed a structural and functional analysis of sumoylation in STAT1. We show that deconjugation of SUMO by SENP1 enhances the transcriptional activity of STAT1, confirming a negative regulatory effect of sumoylation on STAT1 activity. Inspection of molecular model indicated that consensus site is well exposed to SUMO-conjugation in STAT1 homodimer and that the conjugated SUMO moiety is directed towards DNA, thus able to form a sterical hindrance affecting promoter binding of dimeric STAT1. In addition, oligoprecipitation experiments indicated that sumoylation deficient STAT1 E705Q mutant has higher DNA-binding activity on STAT1 responsive gene promoters than wild-type STAT1. Furthermore, sumoylation deficient STAT1 E705Q mutant displayed enhanced histone H4 acetylation on interferon-γ-responsive promoter compared to wild-type STAT1. Conclusions Our results suggest that sumoylation participates in regulation of STAT1 responses by modulating DNA-binding properties of STAT1.

  14. Global Indicators Analysis and Consultancy Experience Insights into Correlation between Entrepreneurial Activities and Business Environment

    Jovan Krivokapić

    2015-02-01

    Full Text Available Many researches and practical experiences clearly indicate the existence of a strong relationship between entrepreneurial activities and the business environment in which these activities are initiated. Although this topic has been quite ignored until the late twentieth century, a lot of studies and consulting practice have contributed to the fact that there are now a number of theories concerning mentioned correlation. These theories aim to offer a model that would provide better utilization of the possibilities from the business environment which could be very important for the development from both macroeconomic and microeconomic aspects. An increasing number of articles on this topic says enough about its importance, and numerous researches by many reputable globally recognized institutions go in favor of this claim. There are many indicators that observe the economic situation in a country or a region from different aspects, so the analyses of these indicators make it possible to determine the specific relationships between entrepreneurial activities and the local and the global business environment. Given the complexity of these relations, the impact cannot be observed partially, without taking into consideration other important factors, but more detailed analyses, however, result in some useful conclusions, which in the proper context can have a positive impact on many economic factors. It is very important to emphasize the fact that the correlation between the business environment and entrepreneurial activities is bidirectional, since this influence is mutual, so that changes in one of these factors can and usually cause some modifications in the other. Frequent series of such iterations actually lead to changes in the business environment, while entrepreneurial activity changes its shape and affects the economy of a country or a region, which is of particular importance for its competitiveness in the era of globalization.

  15. Sensitivity Analysis of Composite Indicators through Mixed Model Anova

    Cristina Davino, Rosaria Romano

    2011-01-01

    The paper proposes a new approach for analysing the stability of Composite Indicators. Starting from the consideration that different subjective choices occur in their construction, the paper emphasizes the importance of investigating the possible alternatives in order to have a clear and objective picture of the phenomenon under investigation. Methods dealing with Composite Indicator stability are known in literature as Sensitivity Analysis. In such a framework, the paper presents a new appr...

  16. A FINANCIAL PROGRAMMING MODEL - REPRESENTATIVE INDICATORS AND SCENARIOS

    STANICA Nicolae Cristian

    2013-01-01

    The article presents the limitations and advantages of a financial programming model applied to Romania's case in order to draw up economic growth scenarios under the government policies conditions. This type of financial programming model gives the best forecasting results for the economies facing periodic restructuring or in case of shifting from economic expansion period to crisis period. The use of models during such instability periods is necessary rather for testing the policies' impact...

  17. Proxima Centauri as a Benchmark for Stellar Activity Indicators in the Near Infrared

    Robertson, Paul; Mahadevan, Suvrath; Roy, Arpita; Ramsey, Lawrence W

    2016-01-01

    A new generation of dedicated Doppler spectrographs will attempt to detect low-mass exoplanets around mid-late M stars at near infrared (NIR) wavelengths, where those stars are brightest and have the most Doppler information content. A central requirement for the success of these instruments is to properly measure the component of radial velocity (RV) variability contributed by stellar magnetic activity and to account for it in exoplanet models of RV data. The wavelength coverage for many of these new instruments will not include the Ca II H&K or H-alpha lines, the most frequently used absorption-line tracers of magnetic activity. Thus, it is necessary to define and characterize NIR activity indicators for mid-late M stars in order to provide simultaneous activity metrics for NIR RV data. We have used the high-cadence UVES observations of the M5.5 dwarf Proxima Centauri from Fuhrmeister et al. (2011) to compare the activity sensitivity of 8 NIR atomic lines to that of H-alpha. We find that equivalent widt...

  18. Models of Teaching: Indicators Influencing Teachers' Perception of Pedagogical Choice

    Nordyke, Alison Michelle

    2011-01-01

    The models of teaching are systematic tools that allow teachers to vary their classroom pedagogical practices to meet the needs of all learners in their classroom. This study was designed to determine key factors that influence teachers' decisions when determining a model of teaching for classroom instruction and to identify how teacher training…

  19. Approaches to Bioeconomic Modelling in correlation with Consumer Model and Biodiversity Indicators

    Ipate Iudith

    2015-04-01

    Full Text Available In this study we analysed the characteristics of bio-economic models in agricultural systems and agro-biodiversity indicators. The classical bioeconomic models are used to analyze the human consumption of ecosystems for production. The analysis focuses on changes in a limited set of agrobiodiversity indicators that matter to human beings. In existing bioeconomic models incorporate ecological complexities and dynamics is limited. Although bioeconomic model provides useful methods to integrate economic values into environmental analyses, improved the dynamic interrelationships between natural processes and socio-economic systems is needed to allow an integrated assessment of multiple values. The overview will enable a more informed decision about whether and how bio-economic models/modeling can contribute to the development of integrated environmental decision support tools. The bio economic modeling it is important for evaluating the costs and benefits associated with environmental resource use.

  20. A Sensitivity Model (SM) approach to analyze urban development in Taiwan based on sustainability indicators

    Sustainability indicators have been widely developed to monitor and assess sustainable development. They are expected to guide political decision-making based on their capability to represent states and trends of development. However, using indicators to assess the sustainability of urban strategies and policies has limitations - as they neither reflect the systemic interactions among them, nor provide normative indications in what direction they should be developed. This paper uses a semi-quantitative systematic model tool (Sensitivity Model Tools, SM) to analyze the role of urban development in Taiwan's sustainability. The results indicate that the natural environment in urban area is one of the most critical components and the urban economic production plays a highly active role in affecting Taiwan's sustainable development. The semi-quantitative simulation model integrates sustainability indicators and urban development policy to provide decision-makers with information about the impacts of their decisions on urban development. The system approach incorporated by this paper can be seen as a necessary, but not sufficient, condition for a sustainability assessment. The participatory process of expert participants for providing judgments on the relations between indicator variables is also discussed

  1. DEVELOPMENT OF ENVIRONMENTAL INDICATORS FOR USE IN MACROECONOMIC MODELS

    Kellogg, Robert L.; Goss, Don W.

    1997-01-01

    In the fields of agriculture and resource economics, good economics is predicated by good science. By partnering more with physical scientists, economists will be better able to provide the broad policy-making community with practical recommendations for addressing resource issues. An example of collaboration is presented for the development of environmental indicators of the potential risk to the environment of the loss of pesticides from farm fields, which will be used by economists to adju...

  2. Methodological foundations of evaluation of effectiveness indicators of small-scale business activities

    Ivanova T.

    2013-01-01

    Full Text Available The methodological approach to the measurement of financial indicators of small-scale enterprises has been developed. It enables to secure the comparability of financial condition indicators and the results of small-scale enterprise activities, and also to develop the methods of vertical integral estimate calculation at separate aspects of financial condition and the results of smallscale enterprise activities.

  3. Merging remotely sensed data, models and indicators for a sustainable development of coastal aquaculture in Algeria

    Brigolin, Daniele; Venier, Chiara; Amine Taji, Mohamed; Lourguioui, Hichem; Mangin, Antoine; Pastres, Roberto

    2014-05-01

    Finfish cage farming is an economically relevant activity, which exerts pressures on coastal systems and thus require a science-based management, based on the Ecosystem Approach, in order to be carry out in a sustainable way. Within MEDINA project (EU 282977), ocean color data and models were used for estimating indicators of pressures of aquaculture installations along the north African coast. These indicators can provide important support for decision makers in the allocation of new zones for aquaculture, by taking into account the suitability of an area for this activity and minimizing negative environmental effects, thus enhancing the social acceptability of aquaculture. The increase in the number of farms represents a strategic objective for the Algerian food production sector, which is currently being supported by different national initiatives. The case-study presented in this work was carried out in the Gulf of Bejaia. Water quality for aquaculture was first screened based on ocean color CDOM data (http://www.globcolour.info/). The SWAN model was subsequently used to propagate offshore wave data and to derive wave height statistics. On this basis, sub-areas of the Gulf were ranked, according their optimality in respect to cage resistance and fish welfare requirements. At the three best sites an integrated aquaculture impact assessment model was therefore applied: this tool allows one to obtain a detailed representation of fish growth and population dynamics inside the rearing cages, and to simulate the deposition of uneaten food and faeces on the sediment and the subsequent mineralization of organic matter. This integrated model was used to produce a set of indicators of the fish cages environmental interaction under different scenarios of forcings (water temperature, feeding, currents). These model-derived indicators could usefully contribute to the implementation of the ecosystem approach for the management of aquaculture activities, also required by the

  4. Fish Assemblage Indicators for the National Rivers and Streams Assessment: Performance of model-based vs. traditionally constructed multimetric indices

    The development of multimetric indices (MMIs) for use in assessing the ecological condition of rivers and streams has advanced in recent years with the use of various types of modeling approaches to factor out the influence of natural variability and improve the performance. Ass...

  5. Observation of Hysteresis between Solar Activity Indicators and -mode Frequency Shifts for Solar Cycle 22

    S. C. Tripathy; Brajesh Kumar; Kiran Jain; A. Bhatnagar

    2000-09-01

    Using intermediate degree p-mode frequency data sets for solar cycle 22, we find that the frequency shifts and magnetic activity indicators show a ``hysteresis" phenomenon. It is observed that the magnetic indices follow different paths for the ascending and descending phases of the solar cycle while for radiative indices, the separation between the paths are well within the error limits.

  6. Indications for laser therapy in diverse models of periodontitis

    Kunin, Anatoly A.; Erina, Stanislava V.; Sokolova, Irina A.; Pankova, Svetlana N.; Ippolitov, Yu. A.; Lepechina, L. I.; Malinovskaya, L. A.; Chitrina, L. L.

    1996-11-01

    Parodontal diseases have an immunological pathogenic mechanism leading to various manifestations and can not be referred to as a common inflammation. The home and foreign research points at active and immunological reaction with the following distraction surrounding tissues of the tooth. Histochemical and biochemical examinations show metabolic disturbances of parodontal tissues. A total sample size of 604 people suffering from average height of chronic generalized parodontitis was examined in the survey. Immunological and histochemical tests were taken before and after a course of laser therapy with the use of helium-neon laser 'YAGODA', an inhibitory and stimulating dosage irradiations and anti-inflammatory dosage irradiations with infrared laser 'UZOR'. We selected a group of patients with the decreased local immunological status on the ground of immunological tests. Histochemical tests shaped the next group with the passive and active forms of parodontitis pathology. The tests data resulted in a method of laser therapy. The investigations confirm that the chronic generalized parodontitis has a shift in tissue immunity of the oral cavity and cell-bound metabolic disturbance of gum epithelium. It is expedient to use the anti-inflammatory dosage irradiations with infrared laser 'UZOR' to correct immunity, and in case of and active process to realize the DNA and RNA synthesis by means of increasing the irradiation with the apparatus 'YAGODA'. The irradiation decreases in case of a passive process.

  7. Comparison of rainfall based SPI drought indices with SMDI and ETDI indices derived from a soil water budget model

    Houcine, A.; Bargaoui, Z.

    2012-04-01

    Modelling soil water budget is a key issue for assessing drought awareness indices based on soil moisture estimation. The aim of the study is to compare drought indices based on rainfall time series to those based on soil water content time series and evapotranspiration time series. To this end, a vertically averaged water budget over the root zone is implemented to assist the estimation of evapotranspiration flux. A daily time step is adopted to run the water budget model for a lumped watershed of 250 km2 under arid climate where recorded meteorological and hydrological data are available for a ten year period. The water balance including 7 parameters is computed including evapotranspiration, runoff and leakage. Soil properties related parameters are derived according to pedo transfer functions while two remaining parameters are considered as data driven and are subject to calibration. The model is calibrated using daily hydro meteorological data (solar radiation, air temperature, air humidity, mean areal rainfall) as well as daily runoff records and also average annual (or regional) evapotranspiration. The latter is estimated using an empirical sub-model. A set of acceptable solutions is identified according to the values of the Nash coefficients for annual and decadal runoffs as well as the relative bias for average annual evapotranspiration. Using these acceptable solutions several drought indices are computed: SPI (standard precipitation index), SMDI (soil moisture deficit index) and ETDI (evapotranspiration deficit index). While SPI indicators are based only on monthly precipitation time series, SMDI are based on weekly mean soil water content as computed by the hydrological model. On the other hand ETDI indices are based on weekly mean potential and actual evapotranspirations as estimated by the meteorological and hydrological models. For SPI evaluation various time scales are considered from one to twelve months (SPI1, SPI3, SPI6, SPI9 and SPI12). For all

  8. Early indices of deviance detection in humans and animal models.

    Grimm, Sabine; Escera, Carles; Nelken, Israel

    2016-04-01

    Detecting unexpected stimuli in the environment is a critical function of the auditory system. Responses to unexpected "deviant" sounds are enhanced compared to responses to expected stimuli. At the human scalp, deviance detection is reflected in the mismatch negativity (MMN) and in an enhancement of the middle-latency response (MLR). Single neurons often respond more strongly to a stimulus when rare than when common, a phenomenon termed stimulus-specific adaptation (SSA). Here we compare stimulus-specific adaptation with scalp-recorded deviance-related responses. We conclude that early markers of deviance detection in the time range of the MLR could be a direct correlate of cortical SSA. Both occur at an early level of cortical activation, both are robust findings with low-probability stimuli, and both show properties of genuine deviance detection. Their causal relation with the later scalp-recorded MMN is a key question in this field. PMID:26656286

  9. Effects of various solar indices on accuracy of Earth’s thermospheric neutral density models

    2009-01-01

    Four kinds of solar indices F10.7, E10.7, S10, Mg10 and four thermospheric neutral density models, i.e., CIRA72, DTM94, NRLMSISE00 and JB2006, are discussed. The CHAMP accelerometer data are used to calculate thermospheric total mass density. Based on the comparison of the model densities with CHAMP observations, the effects of various indices on the model accuracy are detected. It is found that under quiet and moderate solar conditions (F10.7<160), all of the models’ errors are reduced about 15% by using E10.7 instead of F10.7, while under active solar conditions (F10.7>200) the error’s standard deviation using E10.7 increases quickly and causes the models’ accuracy to fall down. With regard to S10, Mg10, their effects under quiet solar conditions are inconspicuous. If under active solar conditions, they can reduce the model error’s standard deviation by 5%-10%, implying that S10, Mg10 make the model error more stable. The JB2006 model, which was constructed by multi-solar-index (F10.7, S10, Mg10), is compared with DTM94 and NRLMSISE00 based on single-solar-index. It is found that JB2006’s accuracy is better than DTM94’s, and is close to NRLMSISE00 under the quiet solar condition. During the solar burst occurring on October 26, 2003, JB2006 has been in best agreement with CHAMP observations. All in all, the new indices may improve thermospheric density models’ accuracy under some special conditions. Concretely, E10.7 may reduce the average error of models and S10, Mg10 may prevent the error’s divergence.

  10. Event-Based Activity Modeling

    Bækgaard, Lars

    2004-01-01

    We present and discuss a modeling approach that supports event-based modeling of information and activity in information systems. Interacting human actors and IT-actors may carry out such activity. We use events to create meaningful relations between information structures and the related...

  11. The histeresis of the indices of solar activity and of the ionospheric indices in 11-yr cycles. The histeresis of the stellar activity indices in the cyclic activity similar to the Sun

    Bruevich, E A; Kazachevskaya, T V; Katyushina, V V; Nusinov, A A

    2016-01-01

    The analysis of the effect of the hysteresis, which manifests itself in an ambiguous relationship of radiation from the photosphere, chromosphere and corona on the rise and decline phases of the solar and stellar activity cycles have done. Some indices of solar activity: the flux of the hydrogen Lyman-alpha emission, the 10.7 cm flux, the sunspot number SSN, the flux in the coronal green line 530.3 nm, the solar constant TSI and the 280 nm Mg II flux were studied. The stars with the well-determined cycles were examined to detect the effect of hysteresis between the chromosphere's S-index CaII fluxes versus the photosphere's fluxes Fphotosphere.

  12. Imaging activity in astrocytes and neurons with genetically encoded calcium indicators following in utero electroporation.

    Gee, J Michael; Gibbons, Meredith B; Taheri, Marsa; Palumbos, Sierra; Morris, S Craig; Smeal, Roy M; Flynn, Katherine F; Economo, Michael N; Cizek, Christian G; Capecchi, Mario R; Tvrdik, Petr; Wilcox, Karen S; White, John A

    2015-01-01

    Complex interactions between networks of astrocytes and neurons are beginning to be appreciated, but remain poorly understood. Transgenic mice expressing fluorescent protein reporters of cellular activity, such as the GCaMP family of genetically encoded calcium indicators (GECIs), have been used to explore network behavior. However, in some cases, it may be desirable to use long-established rat models that closely mimic particular aspects of human conditions such as Parkinson's disease and the development of epilepsy following status epilepticus. Methods for expressing reporter proteins in the rat brain are relatively limited. Transgenic rat technologies exist but are fairly immature. Viral-mediated expression is robust but unstable, requires invasive injections, and only works well for fairly small genes (option of co-expressing a cytosolic tdTomato protein. A binary system consisting of a plasmid carrying a piggyBac inverted terminal repeat (ITR)-flanked CAG-GCaMP-IRES-tdTomato cassette and a separate plasmid encoding for expression of piggyBac transposase was employed to stably express GCaMP and tdTomato. The plasmids were co-electroporated on embryonic days 13.5-14.5 and astrocytic and neuronal activity was subsequently imaged in acute or cultured brain slices prepared from the cortex or hippocampus. Large spontaneous transients were detected in slices obtained from rats of varying ages up to 127 days. In this report, we demonstrate the utility of this toolset for interrogating astrocytic and neuronal activity in the rat brain. PMID:25926768

  13. IAEA activities related to safety indicators, time frames and reference scenarios

    The fundamental principles for the safe management of radioactive waste have been agreed internationally and form the basis for the Joint Convention on the Safety of Spent Fuel Management and on the Safety of Radioactive Waste Management that entered into force in June 2001. Protection of human health and the environment and safety of facilities (including radioactive waste disposal facilities) are widely recognised principles to be followed and demonstrated in post-closure safety assessment of waste repositories. Dose and risk are at present internationally agreed safety criteria, used for judging the acceptability of such facilities. However, there have been a number of activities initiated and co-ordinated by the International Atomic Energy Agency (IAEA) which have provided an international forum for discussion and consensus building on the use safety indicators which are complementary to dose and risk. The Agency has been working on the definition of other safety indicators, such as flux, time, environmental concentration, etc.; the desired characteristics, and use of these indicators in different time frames. The IAEA has focused on safety indicators related to geological disposal, exploring their role in the development of a safety case, evaluating the advantages and disadvantages of using other safety indicators and how they complement the dose and risk indicators. The use of these indicators have been discussed also from regulatory perspective, mainly in terms of achieving reasonable assurance and confidence in safety assessments for waste repositories and decision making in the presence of uncertainty in the context of disposal of long-lived waste. Considerable effort has also been expended by the Agency on the development and application of principles for defining critical groups and biospheres for deep geological repositories. One of the important and successful IAEA programmes in this field is the Biosphere Modelling and Assessment (BIOMASS) project

  14. Reflection of disease activity in rheumatoid arthritis by indices of activation of the classical complement pathway.

    Makinde, V A; Senaldi, G; Jawad, A S; Berry, H; Vergani, D

    1989-01-01

    Levels of C4d, a fragment of C4 generated during activation of the classical complement pathway, were measured in the plasma of 77 patients with rheumatoid arthritis and 30 healthy subjects. Disease activity was judged according to Ritchie's articular index to be mildly active in 31 (group 1), moderately active in 29 (group 2), and severely active in 17 patients (group 3). Plasma levels of C3d, a fragment of C3, and serum levels of C4, C3, and immune complexes were also measured. The ratios C...

  15. Dynamic energy conservation model REDUCE. Extension with experience curves, energy efficiency indicators and user's guide

    The main objective of the energy conservation model REDUCE (Reduction of Energy Demand by Utilization of Conservation of Energy) is the evaluation of the effectiveness of economical, financial, institutional, and regulatory measures for improving the rational use of energy in end-use sectors. This report presents the results of additional model development activities, partly based on the first experiences in a previous project. Energy efficiency indicators have been added as an extra tool for output analysis in REDUCE. The methodology is described and some examples are given. The model has been extended with a method for modelling the effects of technical development on production costs, by means of an experience curve. Finally, the report provides a 'users guide', by describing in more detail the input data specification as well as all menus and buttons. 19 refs

  16. Spatial path models with multiple indicators and multiple causes: mental health in US counties.

    Congdon, Peter

    2011-06-01

    This paper considers a structural model for the impact on area mental health outcomes (poor mental health, suicide) of spatially structured latent constructs: deprivation, social capital, social fragmentation and rurality. These constructs are measured by multiple observed effect indicators, with the constructs allowed to be correlated both between and within areas. However, in the scheme developed here, particular latent constructs may also be influenced by known variables, or, via path sequences, by other constructs, possibly nonlinearly. For example, area social capital may be measured by effect indicators (e.g. associational density, charitable activity), but influenced as causes by other constructs (e.g. area deprivation), and by observed features of the socio-ethnic structure of areas. A model incorporating these features is applied to suicide mortality and the prevalence of poor mental health in 3141 US counties, which are related to the latent spatial constructs and to observed variables (e.g. county ethnic mix). PMID:22749588

  17. 13C-DEPLETED MICROBIAL LIPIDS INDICATE SEASONAL METHANOTROPHIC ACTIVITY IN SHALLOW ESTUARINE SEDIMENTS

    Compound specific isotope analysis was combined with phospholipid fatty acid (PLFA) analysis to identify methanotrophic activity in members of the sedimentary microbial community in the Altamaha and Savannah River estuaries in Georgia. 13C-depleted PLFAs indicate methane utilizat...

  18. Active Video Games and Health Indicators in Children and Youth: A Systematic Review

    LeBlanc, Allana G; Jean-Philippe Chaput; Allison McFarlane; Colley, Rachel C; David Thivel; Biddle, Stuart J.H.; Ralph Maddison; Leatherdale, Scott T; Tremblay, Mark S.

    2013-01-01

    BACKGROUND: Active video games (AVGs) have gained interest as a way to increase physical activity in children and youth. The effect of AVGs on acute energy expenditure (EE) has previously been reported; however, the influence of AVGs on other health-related lifestyle indicators remains unclear. OBJECTIVE: This systematic review aimed to explain the relationship between AVGs and nine health and behavioural indicators in the pediatric population (aged 0-17 years). DATA SOURCES: Online databases...

  19. N-acetyl -β-D-glucosaminidase activity in cow milk as an indicator of mastitis.

    Hovinen, Mari; Simojoki, Heli; Pösö, Reeta; Suolaniemi, Jenni; Kalmus, Piret; Suojala, Leena; Pyörälä, Satu

    2016-05-01

    Activity of lysosomal N-acetyl-β-d-glucosaminidase (NAGase) in milk has been used as an indicator of bovine mastitis. We studied NAGase activity of 808 milk samples from healthy quarters and quarters of cows with spontaneous subclinical and clinical mastitis. Associations between milk NAGase activity and milk somatic cell count (SCC), mastitis causing pathogen, quarter, parity, days in milk (DIM) and season were studied. In addition, the performance of NAGase activity in detecting clinical and subclinical mastitis and distinguishing infections caused by minor and major bacteria was investigated. Our results indicate that NAGase activity can be used to detect both subclinical and clinical mastitis with a high level of accuracy (0·85 and 0·99). Incomplete correlation between NAGase activity and SCC suggests that a substantial proportion of NAGase activity comes from damaged epithelial cells of the udder in addition to somatic cells. We therefore recommend determination of NAGase activity from quarter foremilk after at least six hours from the last milking using the method described. Samples should be frozen before analysis. NAGase activity should be interpreted according to DIM, at least during the first month of lactation. Based on the results of the present study, a reference value for normal milk NAGase activity of 0·1-1·04 pmoles 4-MU/min/μl for cows with ≥30 DIM (196 samples) could be proposed. We consider milk NAGase activity to be an accurate indicator of subclinical and clinical mastitis. PMID:27210494

  20. Mathematical model for estimating of technical and technological indicators of railway stations operation

    D.M. Kozachenko

    2013-06-01

    Full Text Available Purpose. The article aims to create a mathematical model of the railway station functioning for the solving of problems of station technology development on the plan-schedule basis. Methodology. The methods of graph theory and object-oriented analysis are used as research methods. The model of the station activity plan-schedule includes a model of technical equipment of the station (plan-schedule net and a model of the station functioning , which are formalized on the basis of parametric graphs. Findings. The presented model is implemented as an application to the graphics package AutoCAD. The software is developed in Visual LISP and Visual Basic. Taking into account that the construction of the plan-schedule is mostly a traditional process of adding, deleting, and modifying of icons, the developed interface is intuitively understandable for a technologist and practically does not require additional training. Originality. A mathematical model was created on the basis of the theory of graphs and object-oriented analysis in order to evaluate the technical and process of railway stations indicators; it is focused on solving problems of technology development of their work. Practical value. The proposed mathematical model is implemented as an application to the graphics package of AutoCAD. The presence of a mathematical model allows carrying out an automatic analysis of the plan-schedule and, thereby, reducing the period of its creation more than twice.

  1. Motivation for Physical Activity and Mental Health Indicators in Male Gym Attendees

    Awruk Katarzyna; Janowski Konrad

    2016-01-01

    The significance of physical activity for mental well-being has been discussed in detail in the literature on the subject. However, a question arises concerning the relationship between motivation to exercise and psychological functioning. The objective of the present study was to test the relationship between the types of motivation for physical activity and selected indicators of mental health.

  2. Active control: Wind turbine model

    Bindner, H.

    1999-01-01

    This report is a part of the reporting of the work done in the project 'Active Control of Wind Turbines'. This project aim is to develop a simulation model for design of control systems for turbines with pitch control and to use that model to designcontrollers. This report describes the model...... developed for controller design and analysis. Emphasis has been put on establishment of simple models describing the dynamic behavior of the wind turbine in adequate details for controller design. This hasbeen done with extensive use of measurements as the basis for selection of model complexity and model....... The models are all formulated as linear differential equations. The models are validated throughcomparisons with measurements performed on a Vestas WD 34 400 kW wind turbine. It is shown from a control point of view simple linear models can be used to describe the dynamic behavior of a pitch...

  3. Physical activity is not associated with spirometric indices in lung-healthy German youth.

    Smith, Maia P; von Berg, Andrea; Berdel, Dietrich; Bauer, Carl-Peter; Hoffmann, Barbara; Koletzko, Sibylle; Nowak, Dennis; Heinrich, Joachim; Schulz, Holger

    2016-08-01

    In lung disease, physical activity improves lung function and reduces morbidity. However, healthy populations are not well studied. We estimate the relationship between spirometric indices and accelerometric physical activity in lung-healthy adolescents.895 nonsmoking German adolescents without chronic lung disease (45% male, mean±sd age 15.2±0.26 years) from the GINIplus and LISAplus cohorts completed questionnaires, spirometry, 7-day accelerometry and an activity diary. Physical activity was measured as minutes, quintiles and regularity of daily moderate, vigorous and moderate-to-vigorous physical activity (MVPA), participation in sport and active commuting to school. Primary outcomes were forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC and forced expiratory flow at 25-75% of FVC; they were separately correlated with physical activity and adjusted for confounders of respiratory function, including early-life exposures.Adolescents averaged 40 min MVPA per day, typical for European youth. 79% participated in sports and 51% commuted actively. An association was suggested between 3% higher FVC (∼100 mL) and either extreme MVPA quintile or percentage of days with >30 min MVPA (plifestyle and physical activity were nonsignificant.Spirometric indices were not significantly associated with active lifestyle or measures of activity in lung-healthy adolescents after adjustment for confounding and multiple-comparison artefacts. PMID:27009173

  4. Imaging activity in astrocytes and neurons with genetically encoded calcium indicators following in utero electroporation

    J. Michael eGee

    2015-04-01

    Full Text Available Complex interactions between networks of astrocytes and neurons are beginning to be appreciated, but remain poorly understood. Transgenic mice expressing fluorescent protein reporters of cellular activity, such as the GCaMP family of genetically encoded calcium indicators, have been used to explore network behavior. However, in some cases, it may be desirable to use long-established rat models that closely mimic particular aspects of human conditions such as Parkinson’s disease and the development of epilepsy following status epilepticus. Methods for expressing reporter proteins in the rat brain are relatively limited. Transgenic rat technologies exist but are fairly immature. Viral-mediated expression is robust but unstable, requires invasive injections, and only works well for fairly small genes (< 5 kb. In utero electroporation offers a valuable alternative. IUE is a proven method for transfecting populations of astrocytes and neurons in the rat brain without the strict limitations on transgene size. We built a toolset of IUE plasmids carrying GCaMP variants 3, 6s or 6f driven by CAG and targeted to the cytosol or the plasma membrane. Because low baseline fluorescence of GCaMP can hinder identification of transfected cells, we included the option of co-expressing a cytosolic tdTomato protein. A binary system consisting of a plasmid carrying a piggyBac inverted terminal repeat-flanked CAG-GCaMP-IRES-tdTomato cassette and a separate plasmid encoding for expression of piggyBac transposase was employed to stably express GCaMP and tdTomato. The plasmids were co-electroporated on embryonic days 13.5-14.5 and astrocytic and neuronal activity was subsequently imaged in acute or cultured brain slices prepared from the cortex or hippocampus. Large spontaneous transients were detected in slices obtained from rats of varying ages up to 127 days. In this report, we demonstrate the utility of this toolset for interrogating astrocytic and neuronal

  5. Active Learning for Player Modeling

    Shaker, Noor; Abou-Zleikha, Mohamed; Shaker, Mohammad

    2015-01-01

    the full dataset) is necessary for the construction of accu- rate models that are as accurate as those constructed from the full dataset. This indicates the potential of the method and its benefits in cases when obtaining the data is expensive or time, storage or effort consuming. The results also...... indicate that the method can be used online during the content generation process where the mod- els can improve and better content can be presented as the game is being played....

  6. Impacts of Human Activity on Biodiversity——An Approach to Driving Force indicators

    RichardDawson; CaoZhiping

    2005-01-01

    The impact of human activity on biodiversity is very complicated, making it difficult to design practical indicators for assessment. Currently, state and response indicators are listed within Chapter 15 of Agenda 21, but no mention is made of driving force indicators and how they relate to biodiversity protection. This paper represents an effort to identify and then operationalize the idea of driving force indicators at national level. Five human induced factors affecting blodiversity were discussed: (a) habitat toss and fragmentation; (b) overexploitation of resources; (c) species introduction; (d) pollution; and (e) climate change. From these five factors, a subset was selected to serve as possible driving force indicators: (1) habitat loss, (2) the ratio of exotic species to indigenous ones, and (3) the change in pollution status. Although the three indicators are relatively simple, they cover the most important human impacts on biodiversity and offer the potential for further redefinition and ultimate use within the spirit of biodiversity protection.

  7. Heme oxygenase activity correlates with serum indices of iron homeostasis in healthy nonsmokers

    Heme oxygenase (HO) catalyzes the breakdown of heme to carbon monoxide, iron, and biliverdin. While the use of genetically altered animal models in investigation has established distinct associations between HO activity and systemic iron availability, studies have not yet confirm...

  8. THE INTEGRATED ASSESSMENT OF THE LOCAL GOVERNMENT ACTIVITY USING THE SYSTEM OF INDICATORS

    Elena I. Danilina

    2014-01-01

    Full Text Available The assessment of the local government performance, as any other serious work, is improved and undergone major changes every year. The objective of this article-is the research of the methodological aspects of forming the system of indicators, which reflect the local government performance. The difficulties with which the constituent entities of the Russian Federation face while making assessment according to the procedure accepted on the federal level have been exposed. Some imperfections of the currently used procedure of the integrated assessment have been stated. The author concludes that the existing problems of acquiring the official and timely information from the statistical bodies, the absence of accounting the budgetary efficiency of costs and the financial status of certain municipal units, the difference in the approaches and methods of holding the opinion polls of the constituent entities of the Russian Federation, call into a question the issue of fairness of the assessment results. The conducted study has allowed the author to identify the possible opportunities for the further studies. Although the methods do not require making the assessment of the performance targets approved in the strategies of the municipalities, it would be worthwhile to consider these indicators over time. While assessing the local government performance, it is recommended to use two approaches. One of them-which is obligatory for all (according to the procedure accepted on the federal level. Another approach-is holding own secondary monitoring, involving self-assessment of the activity on the effective territory management, while paying attention to the determination of the areas requiring the priority attention of the local governments. Municipalities are recommended to study the available foreign practices and the Russian achievements in the field of assessing the public body performance, which could include, for example, the European model of CAF.

  9. Constructing indices representing supportiveness of the physical environment for walking using the Rasch measurement model

    Pikora Terri J

    2006-12-01

    Full Text Available Abstract Background The objectives of this study were to use the Rasch model to 1 assess the psychometric properties of a physical environmental audit instrument and 2 to develop indices of interrelated environmental attributes that summarize environmental supportiveness for walking. Methods A set of items were derived representing two conceptual physical environmental constructs: 1 functional/safety, and; 2 aesthetics. Ad hoc criteria based on point-biserial and Rasch-based fit statistics were used to examine the construct validity and internal reliability of the two constructs. Results The Rasch-based fit statistics assisted in identifying 12 items that belonged to the functional/safety construct and 4 items that belonged to the aesthetic construct. The reliability of the two constructs were low to moderate (functional/safety rβ = 0.19 and aesthetics rβ = 0.35. Conclusion Given the vast number of built environmental attributes, a means of developing summary indices is essential. Future studies should assess the reliability and validity of indices that summarize physical environmental characteristics conducive to walking before testing them in predictive models of physical activity. More research examining procedures for measuring the built environment and techniques for analyzing environmental data are needed to guide future research in this area.

  10. 234U/238U activity ratio in groundwater - an indicator of past hydrogeological processes

    In this report we describe the long-term behaviour of the uranium isotopes, U-234 and U-238 in groundwater systems. U is a redox sensitive element what for its behaviour is largely controlled by changes in the environmental conditions. A striking feature in U isotope geochemistry is seemingly different behaviour of U-238 and U-234. U isotopes fractionate at the rock-groundwater interface depending on chemical and radiological factors. Changes of the redox conditions in groundwater may thus affect the behaviour of U and its isotopes resulting in variable U concentration and U-234/U-238 activity ratios (AR). We examined the formation of ARs in different groundwater types from a geochemical and a physical/radiological point of view. It was envisaged that AR in groundwater is the consequence of radiological, chemical and hydrological processes. Groundwater condition (redox, flow, etc.) play a very important role in controlling the mass flow of U isotopes. Quantitative α-recoil modelling showed that α-recoil induced flux can be considered insignificant in cases of high-flow. This was an important finding because the exclusion of direct a-recoil means that it is groundwater chemistry and its variations which controls the U-234 mass flow and the formation of AR. Therefore, AR values could be used more confidently to indicate past redox changes and possibly flow paths. (orig.)

  11. Application of fit indices in testing the theoretical models in psychology: Possibilities and limitations

    Lazarević Ljiljana

    2008-01-01

    This paper deals with the fit indices used in Structural Equation Modelling (SEM) for testing theoretical models and the difficulties that can occur during the testing of theoretical models in different fields of psychology. The paper discusses the basic assumptions of SEM and presents the indices used for assessing the fit of theoretical models. This paper also presents the procedures for calculating the basic statistic for assessing the fit of models (χ2), as well as for calculating the mos...

  12. The influence of economic indicators over the management activities for company in sports

    Sebahattin DEVECIOGLU; Laurentiu-Gabriel TALAGHIR; Teodora Mihaela ICONOMESCU; Carmen CRETU

    2013-01-01

    The sports activities permanently have attracted investors' attention because the target audience is very varied. Whether they are addressing for sports performance or for sport for all, the companies which provide services or products want to gain the profits. To achieve profits, managers should consider about elements of the company's evolution to profitability besides market demand. The purpose of our paper is that to show some economic indicators which are useful in management activities....

  13. Blood coagulation parameters and activity indices in patients with systemic lupus erythematosus

    A. A. Arshinov

    2005-04-01

    Full Text Available Objective. To assess coagulation parameters and activity indices in pts with systemic lupus erythematosus (SLE. Material and methods . 86 pts with SLE (83 female and 3 male were examined. 12 of them had antiphospholipid syndrome. Mean age was 35,9±1,5 years (from 18 to 58 years, mean disease duration was 9,8+1,4 years. Control group consisted of 60 healthy volunteers with mean age 37,1+4,1 years. SLE activity assessment was performed with SLAM, SLEDAI and ECLAM indices. Results. SLE pts showed 5-fold (p<0,01 increase of spontaneous platelets aggregation and more than 3-fold increase of factor von Willebrand antigen (FWA concentration. Platelet activation in pts was accompanied by decrease of platelet aggregation with collagen (on 27%, p<0,01. Characteristic sign of coagulation hemostasis activation was significant increase of soluble fibrin-monomer complexes (SFMC concentration on 81 % (p<0,01 so as increase D-dimers level in 53,3% of pts. Fibrinogen concentration was increased on 29%, spontaneous fibrinolysis parameters were decreased on 20%, antithrombin (AT 111 - on 21% in comparison with control. Direct correlation between activity indiccs and SFMC(ECLAM, r=0,5, fibrinogen concentration (SLAM, r=0,34, D- dimers level (ECLAM, r=0,5, spontaneous platelet aggregation (ECLAM, r=0,5 so as inverse correlation with AT III activity (SLEDAI, r-0,73 was revealed. Conclusion. Changes of hemostasis parameters in SLE may serve as predictors of thrombotic disorders development and indication to drug correction of blood coagulation disorders. Direct correlation between blood coagulation system activity and indices of SLE activity.

  14. Activity of a social dynamics model

    Reia, Sandro M.; Neves, Ubiraci P. C.

    2015-10-01

    Axelrod's model was proposed to study interactions between agents and the formation of cultural domains. It presents a transition from a monocultural to a multicultural steady state which has been studied in the literature by evaluation of the relative size of the largest cluster. In this article, we propose new measurements based on the concept of activity per agent to study the Axelrod's model on the square lattice. We show that the variance of system activity can be used to indicate the critical points of the transition. Furthermore the frequency distribution of the system activity is able to show a coexistence of phases typical of a first order phase transition. Finally, we verify a power law dependence between cluster activity and cluster size for multicultural steady state configurations at the critical point.

  15. Technology and industrialization in Spanish economy from 1950 to 1960: the patents as technological activity indicators

    The goal of this research is to study the innovative activity developed in the fifties by the Spanish industry focussing on the foreign technology incorporated in the activity of several industrial sectors. The structure of innovation in each sector has been characterized by using patents as technological activity indicators. The data of patents registered in Spain belonging to the 1950-1960 period have been obtained taking into account the research developed by the Department of Business Administration of the Universidad Politecnica de Madrid through a subsidy granted by the Spanish Patent Office. (Author)

  16. [Is restriction of physical activity indicated in the prevention of retinal detachment?].

    Karel, I

    1993-06-01

    The author evaluates the importance of different vitreoretinal factors and the role of indirect injury in the pathogenesis of detachment of the retina/DR/and holds the following view as regards subjects inclined to pursue physical activity. Numerous and frequent vitreoretinal risk factors are a forecast of DR only in a small fraction of patients. Indirect injury is not recognized as a cause of DR. Risk factors incl. medium-grade and high-grade myopia are not an indication for restriction of physical activity nor for Caesarean section in pregnant women. Restriction of physical activity acts as a psychic trauma and does not prevent the development of DR. PMID:8348645

  17. Measuring Innovation Oriented Activities for Business Services: Traditional versus Knowledge Based Indicators

    Steiner, Michael

    2001-01-01

    Measuring Innovation Oriented Activities: Traditional versus Knowledge Based Indicators and their Differences across Sectors Michael STEINER, Christoph ADAMETZ, Mirjam NOVAKOVIC, Institute of Technology and Regional Policy, JOANNEUM RESEARCH, Elisabethstrasse 20/II, 8010 Graz, Austria and Department of Economics, Karl-Franzens-Universität Graz, Universitätsstraße 15/4, 8010 Graz E-Mail: , , Indicato...

  18. Long-term stellar activity variations of stars from the HARPS M-dwarf sample: Comparison between activity indices

    da Silva, J Gomes; Bonfils, X

    2010-01-01

    We used four known chromospheric activity indicators to measure long-term activity variations in a sample of 23 M-dwarf stars from the HARPS planet search program. We compared the indices using weighted Pearson correlation coefficients and found that in general (i) the correlation between $S_{CaII}$ and \\ion{Na}{i} is very strong and does not depend on the activity level of the stars, (ii) the correlation between our $S_{CaII}$ and H$\\alpha$ seems to depend on the activity level of the stars, and (iii) there is no strong correlation between $S_{CaII}$ and \\ion{He}{i} for these type of stars.

  19. Quality of life and physical activity as indicators of health-preserving competence of teachers

    Pavlova Iu.A.

    2012-03-01

    Full Text Available The quality of life and physical activity of teachers of physical culture, basic of health, labour, the defense of Motherland and pedagogue-organizers from secondary schools Lviv region (Ukraine were investigated. The 402 persons (age 24-78 years were surveyed with the use of questionnaires MOS SF 36 and IPAQ. The highest quality of life and level of physical activity have teachers of physical culture. It is considered the quality of life of teachers of other subjects similar to persons with chronic diseases. The level of physical activity in leisure time was particularly low for teachers of Basic of Health and pedagogue-organizers. The teachers spent no more than 433 MET-min/ week for moderate- and vigorous-intensity activity. The level of physical activity of teachers (besides the physical education teachers was insufficient to improve health and indicate about low level of health-preserving competence.

  20. Diffusion models and neural activity

    Ricciardi, L. M.; Lánský, Petr

    London : Nature publishing group, 2003 - (Nadel, L.), s. 968-972 ISBN 0-333-79261-0 R&D Projects: GA ČR GA309/02/0168 Institutional research plan: CEZ:AV0Z5011922 Keywords : Neuronal activity, Diffusion model Subject RIV: ED - Physiology

  1. Hierarchical modeling of active materials

    Intelligent (or smart) materials are increasingly becoming key materials for use in actuators and sensors. If an intelligent material is used as a sensor, it can be embedded in a variety of structure functioning as a health monitoring system to make their life longer with high reliability. If an intelligent material is used as an active material in an actuator, it plays a key role of making dynamic movement of the actuator under a set of stimuli. This talk intends to cover two different active materials in actuators, (1) piezoelectric laminate with FGM microstructure, (2) ferromagnetic shape memory alloy (FSMA). The advantage of using the FGM piezo laminate is to enhance its fatigue life while maintaining large bending displacement, while that of use in FSMA is its fast actuation while providing a large force and stroke capability. Use of hierarchical modeling of the above active materials is a key design step in optimizing its microstructure for enhancement of their performance. I will discuss briefly hierarchical modeling of the above two active materials. For FGM piezo laminate, we will use both micromechanical model and laminate theory, while for FSMA, the modeling interfacing nano-structure, microstructure and macro-behavior is discussed. (author)

  2. Active video games and health indicators in children and youth: a systematic review.

    Allana G LeBlanc

    Full Text Available BACKGROUND: Active video games (AVGs have gained interest as a way to increase physical activity in children and youth. The effect of AVGs on acute energy expenditure (EE has previously been reported; however, the influence of AVGs on other health-related lifestyle indicators remains unclear. OBJECTIVE: This systematic review aimed to explain the relationship between AVGs and nine health and behavioural indicators in the pediatric population (aged 0-17 years. DATA SOURCES: Online databases (MEDLINE, EMBASE, psycINFO, SPORTDiscus and Cochrane Central Database and personal libraries were searched and content experts were consulted for additional material. DATA SELECTION: Included articles were required to have a measure of AVG and at least one relevant health or behaviour indicator: EE (both habitual and acute, adherence and appeal (i.e., participation and enjoyment, opportunity cost (both time and financial considerations, and adverse events, adiposity, cardiometabolic health, energy intake, adaptation (effects of continued play, learning and rehabilitation, and video game evolution (i.e., sustainability of AVG technology. RESULTS: 51 unique studies, represented in 52 articles were included in the review. Data were available from 1992 participants, aged 3-17 years, from 8 countries, and published from 2006-2012. Overall, AVGs are associated with acute increases in EE, but effects on habitual physical activity are not clear. Further, AVGs show promise when used for learning and rehabilitation within special populations. Evidence related to other indicators was limited and inconclusive. CONCLUSIONS: Controlled studies show that AVGs acutely increase light- to moderate-intensity physical activity; however, the findings about if or how AVG lead to increases in habitual physical activity or decreases in sedentary behaviour are less clear. Although AVGs may elicit some health benefits in special populations, there is not sufficient evidence to

  3. Usability of solar radius variations as an indicator of solar activity and influence on climate

    Kilcik, A.; Golbasi, O.; Kilic, H.; Ozkan, V.; Yuceer, A. Y.

    In this study we investigated whether the solar semi-diameter could be treated as an indicator of solar activity. We applied the cross-correlation method to show the agreement of solar radius data with solar irradiance measurements. We used the solar semi-diameter data obtained from astrolabe observations at TUBITAK National Observatory (TUG) / Turkey and at Cote d'Azur Observatory (OCA)/France. We treated the regional air surface temperature measured in Antalya/Turkey as a climate indicator. Result of our analyses, indicates a considerable correlation (-0.63) between the solar radius and solar irradiance measurements. In addition, a comparison of solar radius and regional temperature values indicated that there is an acceptable correlative and periodical agreement between the two quantities.

  4. Spatial Memory Activity Distributions Indicate the Hippocampus Operates in a Continuous Manner

    Brittany M. Jeye

    2016-08-01

    Full Text Available There is a long-standing debate as to whether recollection is a continuous/graded process or a threshold/all-or-none process. In the current spatial memory functional magnetic resonance imaging (fMRI study, we examined the hippocampal activity distributions—the magnitude of activity as a function of memory strength—to determine the nature of processing in this region. During encoding, participants viewed abstract shapes in the left or right visual field. During retrieval, old shapes were presented at fixation and participants classified each shape as previously in the “left” or “right” visual field followed by an “unsure”–“sure”–“very sure” confidence rating. The contrast of left-hits and left-misses produced two activations in the hippocampus. The hippocampal activity distributions for left shapes and right shapes were completely overlapping. Critically, the magnitude of activity associated with right-miss-very sure responses was significantly greater than zero. These results support the continuous model of recollection, which predicts overlapping activity distributions, and contradict the threshold model of recollection, which predicts a threshold above which only one distribution exists. Receiver operating characteristic analysis did not distinguish between models. The present results demonstrate that the hippocampus operates in a continuous manner during recollection and highlight the utility of analyzing activity distributions to determine the nature of neural processing.

  5. THE ANALYSIS OF PERFORMANCES OF THE ENTREPRISE THROUGH INDICATORS OF THE VOLUME OF ACTIVITY

    POP Fãnuța

    2013-07-01

    Full Text Available The activity of any economic entity is aimed at providing objects, works and services meant to fulfill certain social needs, as well as at achieving a certain level of profit which would enable the entreprise to maintain and/or develop in business. In order to reach these objectives, the offer of the entreprise should meet the demand of the market whithin which it activates in terms of: volume (how much it is demanded?, structure (what brands are demanded and what is their share in the total production?, rhythmicity (during what span of time? and level of quality (does the offer of the entity meet the qualitative level demanded by clients?. The entreprise develops interconditioning relations with its external factors, namely clients, suppliers, the state, employees, shareholders, banks, the government and budgetary institutions; the degree to which their expectations are met reflects the efficiency of the activity undertaken. Among the main indicators of performance, one could cite the turnover and the added value that reflect the economic raise of the entity, conditions its strategic position and defines its place in relation to other competitors, within the branch of activity concerned. A high level of turnover and added value guarantees that the economic entity develops a profitable activity, that it is expanding and developing, a fact with consequences upon the main economic-financial indicators but also upon the efficiency of the activity of the economic entity. The main objectives of the present paper are to point out the dynamics of the indicators of volume of activity, of factors of influence and of their strategies of growth. In addition to that, the study tries to ground and analyse theoretical aspects by providing some practical examples based on real data obtained from an economic entity during the period 2008-2011, but also data published by the INSSE for the same period, in order to observe its evolution in relation to other

  6. Beyond the model democracy: observational constraints indicate risk of drying in the Amazon basin

    Shiogama, Hideo; Emori, Seita; Hanasaki, Naota; Abe, Manabu; Masutomi, Yuji; Takahashi, Kiyoshi; Nozawa, Toru

    2013-04-01

    Climate warming due to human activities will be accompanied by hydrological cycle changes. Economies, societies and ecosystems in South America (SA) are vulnerable to such water resource changes. Hence, water resource impact assessments for SA, and corresponding adaptation and mitigation policies, have attracted increased attention. However, substantial uncertainties remain in the current water resource assessments that are based on multiple coupled Atmosphere Ocean General Circulation models. This uncertainty varies from significant wetting to catastrophic drying. By applying a statistical method, we characterised the uncertainty and identified global-scale metrics for measuring the reliability of water resource assessments in SA. Here we show that, whereas the ensemble mean assessment suggested wetting across most of SA, the observational constraints indicate a higher probability of drying in the Amazon basin. Naive over-reliance on the consensus of models can lead to inappropriate decision making. Reference: Shiogama, H. et al. Observational constraints indicate risk of drying in the Amazon basin. Nature Communications 2:253 doi: 10.1038/ncomms1252 (2011).

  7. Developing of Indicators of an E-Learning Benchmarking Model for Higher Education Institutions

    Sae-Khow, Jirasak

    2014-01-01

    This study was the development of e-learning indicators used as an e-learning benchmarking model for higher education institutes. Specifically, it aimed to: 1) synthesize the e-learning indicators; 2) examine content validity by specialists; and 3) explore appropriateness of the e-learning indicators. Review of related literature included…

  8. Screening for gestational diabetes mellitus by a model based on risk indicators: a prospective study

    Jensen, Dorte; Mølsted-Pedersen, Lars; Beck-Nielsen, Henning;

    2003-01-01

    This study was performed to prospectively evaluate a screening model for gestational diabetes mellitus on the basis of clinical risk indicators.......This study was performed to prospectively evaluate a screening model for gestational diabetes mellitus on the basis of clinical risk indicators....

  9. Cardiorespiratory fitness is a stronger indicator of cardiometabolic risk factors and risk prediction than self-reported physical activity levels.

    Gray, Benjamin J; Stephens, Jeffrey W; Williams, Sally P; Davies, Christine A; Turner, Daniel; Bracken, Richard M

    2015-11-01

    This study investigated the relationships of self-reported physical activity levels and cardiorespiratory fitness in 81 males to assess which measurement is the greatest indicator of cardiometabolic risk. Physical activity levels were determined by the General Practice Physical Activity Questionnaire tool and cardiorespiratory fitness assessed using the Chester Step Test. Cardiovascular disease risk was estimated using the QRISK2, Framingham Lipids, Framingham body mass index and Joint British Societies' Guidelines-2 equations, and type 2 diabetes mellitus risk calculated using QDiabetes, Leicester Risk Assessment, Finnish Diabetes Risk Score and Cambridge Risk Score models. Categorising employees by cardiorespiratory fitness categories ('Excellent/Good' vs 'Average/Below Average') identified more differences in cardiometabolic risk factor (body mass index, waist circumference, total cholesterol, total cholesterol:high-density lipoprotein ratio, high-density lipoprotein cholesterol, triglycerides, HbA(1c)) scores than physical activity (waist circumference only). Cardiorespiratory fitness levels also demonstrated differences in all four type 2 diabetes mellitus risk prediction models and both the QRISK2 and Joint British Societies' Guidelines-2 cardiovascular disease equations. Furthermore, significant negative correlations (p < 0.001) were observed between individual cardiorespiratory fitness values and estimated risk in all prediction models. In conclusion, from this preliminary observational study, cardiorespiratory fitness levels reveal a greater number of associations with markers of cardiovascular disease or type 2 diabetes mellitus compared to physical activity determined by the General Practice Physical Activity Questionnaire tool. PMID:26361778

  10. Comparing Prescription Sales, Google Trends and CDC Data as Flu Activity Indicators

    Patwardhan, Avinash; Lorber, David

    2013-01-01

    activities data for influenza suggests that the former can serve as a good and valid influenza activity indicator. Community pharmacies with large footprints might want to proactively build automated syndromic surveillance systems with near real time reporting capabilities and explore the possibility of building predictive models (3) and of forming partnerships with public health agencies for syndromic surveillance. Pearson ’r’ between prescription sales data and Google Flu trends and CDC ILI data Prescription sales data and Year Pearson ‘r’ 95% CI (p = 0.05) Google Trends ILI data 2007 0.85 0.75–0.91 2008 0.92 0.86–0.95 2009 0.91 0.85–0.95 2010 0.88 0.80–0.93 2011 0.87 0.78–0.92 Aggregate (2007–2011) 0.92 0.90–0.94 CDC % unweighted ILI data 2007 0.97 0.95–0.98

  11. GFAP expression as an indicator of disease severity in mouse models of Alexander disease

    Albee Messing

    2013-03-01

    Full Text Available AxD (Alexander disease is a rare disorder caused by heterozygous mutations in GFAP (glial fibrillary acidic protein resulting in accumulation of the GFAP protein and elevation of Gfap mRNA. To test whether GFAP itself can serve as a biomarker of disease status or progression, we investigated two independent measures of GFAP expression in AxD mouse models, one using a genetic reporter of promoter activity and the other quantifying GFAP protein directly in a manner that could also be employed in human studies. Using a transgenic reporter line that expresses firefly luciferase under the control of the murine Gfap promoter (Gfap-luc, we found that luciferase activity reflected the regional CNS (central nervous system variability of Gfap mRNA in Gfap+/+ mice, and increased in mice containing a point mutation in Gfap that mimics a common human mutation in AxD (R239H in the human sequence, and R236H in the murine sequence. In a second set of studies, we quantified GFAP protein in CSF (cerebrospinal fluid taken from three different AxD mouse models and littermate controls. GFAP levels in CSF were increased in all three AxD models, in a manner corresponding to the concentrations of GFAP in brain. These studies demonstrate that transactivation of the Gfap promoter is an early and sustained indicator of the disease process in the mouse. Furthermore, GFAP in CSF serves as a potential biomarker that is comparable between mouse models and human patients.

  12. Novel application of Wiener vis-à-vis Szeged indices: Antitubercular activities of quinolones

    Vijay K Agarwal; Shahnaz Bano; Keshav C Mathur; Padmakar V Khadikar

    2000-04-01

    The paper gives a brief account of the recently introduced Szeged index (Sz). Using this index antitubercular activities of N-2,4-difluorophenyl quinolones are subjected to quantitative structure-activity relationship analysis. The potential of Sz related to the Wiener index (W) is critically discussed. In addition, Huckel molecular orbital energies: HOMO, LUMO and total were also used for comparing and modelling antitubercular activities of the quinolones. The results, based on univariate as well as multivariate regressions, have shown that W, Sz and total give better results and that the correlations improve in multivariate regression analyses.

  13. Emphasis: an active management model

    The Institute of Nuclear Materials Management was founded and has grown on the basis of promoting professionalism in the nuclear industry. This paper is concerned with professional management of nuclear material. The paper introduces the reader to Emphasis, an active management model. The management model provides the framework to assist a manager in directing his available resources. Emphasis provides for establishing goals, identifying and selecting objectives, matching objectives to specific personnel, preparing and monitoring action plans, and evaluating results. The model stresses crisis prevention by systematically administering and controlling resources. A critical requirement for implementation of the model is the desire to manage, to be in charge of the situation. The nuclear industry does need managers - people who realize the sensitive nature of the industry, professionals who insist on improved performance

  14. Soil enzyme activities and their indication for fertility of urban forest soil

    2008-01-01

    To reveal the biological characteristics of urban forest soil and the effects of soil enzyme on soil fertility as well as the correlation between physicochemical properties and enzyme activities,44 urban forest soil profiles in Nanjing were investigated.Basic soil physicochemical properties and enzyme activities were analyzed in the laboratory.Hydrogen peroxidase,dehydrogenase,alkaline phosphatase,and cellulase were determined by potassium permanphosphate dinatrium colorimetry,and anthrone colorimetry,respectively.The result showed that soil pH,organic carbon (C),and total nitrogen (N) had great effects on hydrogen peroxidase,dehydrogenase,and alkaline phosphatase activities in 0-20 cm thick soil.However,pH only had great effect on hydrogen peroxidase,dehydrogenase,and alkaline phosphatase activities in 20-40 cm thick soil.Hydrogen peroxidase,dehydrogenase,and alkaline phosphatase were important biological indicators for the fertility of urban forest soil.Both in 0-20 cm and 20-40 cm soil,soil enzyme system (hydrogen peroxidase,dehydrogenase,alkaline phosphatase,and cellulase) had a close relationship with a combination of physicochemical indicators (pH,organic C,total N,available K,available P,cation exchange capacity (CEC),and microbial biomass carbon(Cmic)).The more soil enzyme activities there were,the higher the fertility of urban forest soil.

  15. Molecular Indicators Used in the Development of Predictive Models for Microbial Source Tracking ▿

    Ballesté, Elisenda; Bonjoch, Xavier; Belanche, Lluís A.; Blanch, Anicet R.

    2010-01-01

    A number of chemical, microbial, and eukaryotic indicators have been proposed as indicators of fecal pollution sources in water bodies. No single one of the indicators tested to date has been able to determine the source of fecal pollution in water. However, the combined use of different indicators has been demonstrated to be the best way of defining predictive models suitable for determining fecal pollution sources. Molecular methods are promising tools that could complement standard microbi...

  16. A new class of indicators for the model selection of scaling laws in nuclear fusion

    Highlights: ► A new model selection indicator, based on the Model Falsification Criterion, has been applied to the problem of choosing the scaling laws for power threshold scaling to access the H-mode in tokamaks. ► The indicators have at least the same selection power of the classic indicators for databases of low dimensionality. ► For the high dimensionality dataset the indicator outperforms the traditional criteria. ► The indicator preserves its advantages up to a noise of 20% of the signal level. -- Abstract: The development of computationally efficient model selection strategies represents an important problem facing the analysis of nuclear fusion experimental data, in particular in the field of scaling laws for the extrapolation to future machines, and image processing. In this paper, a new model selection indicator, named Model Falsification Criterion (MFC), will be presented and applied to the problem of choosing the most generalizable scaling laws for the power threshold (PThresh) to access the H-mode of confinement in tokamaks. The proposed indicator is based on the properties of the model residuals, their entropy and an implementation of the data falsification principle. The model selection ability of the proposed criterion will be demonstrated in comparison with the most widely used frequentist (Akaike information criterion) and bayesian (Bayesian information criterion) indicators

  17. Cysteine desulfurase activity indicates a role for NIFS in metallocluster biosynthesis.

    Zheng, L; White, R H; Cash, V L; Jack, R F; Dean, D R

    1993-01-01

    Biological nitrogen fixation is catalyzed by nitrogenase, a complex metalloenzyme composed of two separately purifiable component proteins encoded by the structural genes nifH, nifD, and nifK. Deletion of the Azotobacter vinelandii nifS gene lowers the activities of both nitrogenase component proteins. Because both nitrogenase component proteins have metallocluster prosthetic groups that are composed of iron- and sulfur-containing cores, this result indicated that the nifS gene product could ...

  18. Novel water-resistant UV-activated oxygen indicator for intelligent food packaging.

    Vu, Chau Hai Thai; Won, Keehoon

    2013-09-01

    For the first time, alginate polymer has been applied to prevent dyes from leaching out of colorimetric oxygen indicator films, which enable people to notice the presence of oxygen in the package in an economic and simple manner. The dye-based oxygen indicator film suffers from dye leaching upon contact with water. In this work, UV-activated visual oxygen indicator films were fabricated using thionine, glycerol, P25 TiO2, and zein as a redox dye, a sacrificial electron donor, UV-absorbing semiconducting photocatalyst, and an encapsulation polymer, respectively. When this zein-coated film was immersed in water for 24h, the dye leakage was as high as 80.80±0.45%. However, introduction of alginate (1.25%) as the coating polymer considerably diminished the dye leaching to only 5.80±0.06%. This is because the ion-binding ability of alginate could prevent the cation dye from leaching into water. This novel water-resistant UV-activated oxygen indicator was also successfully photo-bleached and regained colour fast in the presence of oxygen. PMID:23578614

  19. Synchronous fire activity in the tropical high Andes: an indication of regional climate forcing

    Roman-Cuesta, R.M.; Carmona-Moreno, C.; Lizcano, G.; New, M.; Silman, M.R.; Knoke, T.; Malhi, Y.; Oliveras Menor, I.; Asbjornsen, H.; Vuille, M.

    2014-01-01

    Global climate models suggest enhanced warming of the tropical mid and upper troposphere, with larger temperature rise rates at higher elevations. Changes in fire activity are amongst the most significant ecological consequences of rising temperatures and changing hydrological properties in mountain

  20. Hedonic Predicted House Price Indices Using Time-Varying Hedonic Models with Spatial Autocorrelation

    Alicia Rambaldi; Prasada Rao

    2011-01-01

    Hedonic housing price indices are computed from estimated hedonic pricing models. The commonly used time dummy hedonic model and the rolling window hedonic model fail to account for changing consumer preferences over hedonic characteristics and typically these models do not account for the presence of spatial correlation in prices reflecting the role of locational characteristics. This paper develops a class of models with time-varying hedonic coefficients and spatially correlated errors, pro...

  1. Fecal calprotectin and ulcerative colitis endoscopic activity index as indicators of mucosal healing in ulcerative colitis.

    Taghvaei, Tarang; Maleki, Iradj; Nagshvar, Farshad; Fakheri, Hafez; Hosseini, Vahid; Valizadeh, Seyed Mohammad; Neishaboori, Hassan

    2015-04-01

    Ulcerative colitis (UC) is a chronic, idiopathic, inflammatory large bowel disease with recurrent variable periods of exacerbation. The aim of the current study is to evaluate the correlation of UCEIS with fecal calprotectin (FC) level to assess disease activity in UC patients in order to determine whether FC can prognosticate clinical outcome and disease activity of UC instead of colonoscopic evaluation. Our endoscopic investigations revealed the extension of UC as the following: proctitis (11.6%), procto-sigmoiditis (18.5%), left-sided colitis (15.8%), extensive colitis (11.7%), and normal endoscopy (42.4%). Conclusively, we suggest that FC can be used as a reliable tool to evaluate disease activity in ulcerative colitis patients. Moreover, our findings indicate a significant correlation between FC level and mucosal healing. PMID:25366383

  2. Variability of basin scale water resources indicators derived from global hydrological and land surface models

    Werner, Micha; Blyth, Eleanor; Schellekens, Jaap

    2016-04-01

    Global hydrological and land-surface models are becoming increasingly available, and as the resolution of these improves, as well how hydrological processes are represented, so does their potential. These offer consistent datasets at the global scale, which can be used to establish water balances and derive policy relevant indicators in medium to large basins, including those that are poorly gauged. However, differences in model structure, model parameterisation, and model forcing may result in quite different indicator values being derived, depending on the model used. In this paper we explore indicators developed using four land surface models (LSM) and five global hydrological models (GHM). Results from these models have been made available through the Earth2Observe project, a recent research initiative funded by the European Union 7th Research Framework. All models have a resolution of 0.5 arc degrees, and are forced using the same WATCH-ERA-Interim (WFDEI) meteorological re-analysis data at a daily time step for the 32 year period from 1979 to 2012. We explore three water resources indicators; an aridity index, a simplified water exploitation index; and an indicator that calculates the frequency of occurrence of root zone stress. We compare indicators derived over selected areas/basins in Europe, Colombia, Southern Africa, the Indian Subcontinent and Australia/New Zealand. The hydrological fluxes calculated show quite significant differences between the nine models, despite the common forcing dataset, with these differences reflected in the indicators subsequently derived. The results show that the variability between models is related to the different climates types, with that variability quite logically depending largely on the availability of water. Patterns are also found in the type of models that dominate different parts of the distribution of the indicator values, with LSM models providing lower values, and GHM models providing higher values in some

  3. A comparison between the cardio-stress indices of an active and a sedentary population

    Peet Du Toit

    2013-02-01

    Full Text Available Our modern lifestyle often results in the importance of physical exercise being overlooked. The increasingly passive way of life has resulted in a notable increase in the prevalence of lifestyle disorders, such as hypertension and some forms of vascular pathology. This study compares the cardio-stress indices (CSIs of active and sedentary individuals to provide insight into the impact of the significant changes that have taken place in the modernised society. The active population consisted of 217 military recruits who had completed 20 weeks of basic military training. The sedentary population (n = 126 was sourced from a traditional tertiary institution where the focus is on attending lectures. Participants from both populations were required to attend three testing sessions, which were held during Week 1, Week 12 and Week 20. Subjects underwent a non-invasive ViportTM test to measure their CSI, heart rate and QRS duration. The results showed that although baseline readings for CSI, blood pressure (BP and heart rate (HR were initially higher among the active population, the commencement of the physical training programme resulted in a steady decline in respect of these three factors to approach healthier margins. However, the CSI for neither population reached the normal range, indicating that although physical activity reduces physiological stress levels, other key factors, namely lifestyle stress levels, must also be taken into account. The study supports the notion that increased physical activity has the potential to reduce the predisposition of an individual to cardiovascular disorders and contributes towards establishing the effect of training on heart health by using CSI as a means of measurement.

  4. Innovation indicators: a survey of innovative activities in the international food processed industry

    Vinicius Cardoso de Barros Fornari

    2015-02-01

    Full Text Available This paper seeks to combine traditional methods of measuring intensity with other alternative indicators to examine the dispersion of innovation activities in different industries and countries. The hypothesis that underlies the study lies in the fact that in the Food Processed Industry (IAP the traditional methods are insufficient to detect the core of the innovation process. As method, we analyzed patent data extracted from the twenty-five largest food processed companies in the world and suggested different indicators developed from the Pesquisa de Inovação Tecnológica (PINTEC, 2010 – for Brazilian companies – and the Community Innovation Survey (CIS, 2009 – for European Union companies. The results allowed us to establish relationships in three dimensions: (i the complexity of the innovative effort of the IAP; (ii the efforts to innovation in different countries are distinct and; (iii there is heterogeneity in country performance.

  5. Application of fit indices in testing the theoretical models in psychology: Possibilities and limitations

    Lazarević Ljiljana

    2008-01-01

    Full Text Available This paper deals with the fit indices used in Structural Equation Modelling (SEM for testing theoretical models and the difficulties that can occur during the testing of theoretical models in different fields of psychology. The paper discusses the basic assumptions of SEM and presents the indices used for assessing the fit of theoretical models. This paper also presents the procedures for calculating the basic statistic for assessing the fit of models (χ2, as well as for calculating the most commonly used fit indices, in order to gain a better insight into the advantages and potential difficulties that can occur during their usage. We mention the difficulties regarding the assessment of fit of the model based on χ2 and the discussed fit indices stemming from the sample size, data distribution and assessment methods, wrong specification of model and disturbance of normality and independence of latent variables, as well as the ways in which these difficulties can be overcome. This paper provides a proposal for the approach to presenting the fit indices in reports on studies where theoretical models were tested via SEM.

  6. Hard X-ray photon index as an indicator of bolometric correction in active galactic nuclei

    Zhou, Xin-Lin; Zhao, Yong-Heng

    2010-01-01

    We propose the rest-frame 2-10 keV photon index, \\ga, acting as an indicator of the bolometric correction, \\lb/$L_{\\rm 2-10keV}$ (where \\lb~ is the bolometric luminosity and $L_{\\rm 2-10keV}$ is the rest-frame 2-10 keV luminosity), in radio-quiet active galactic nuclei (AGNs). Correlations between \\ga~ and both bolometric correction and Eddington ratio are presented, based on simultaneous X-ray, UV, and optical observations of reverberation -mapped AGNs. These correlations can be compared wit...

  7. The Hertzsprung-gap giant 31 Comae in 2013: Magnetic field and activity indicators

    Borisova, Ana P.; Konstantinova-Antova, Renada; Aurière, Michel; Petit, Pascal; Charbonnel, Corinne

    2014-08-01

    We have observed the giant star 31 Comae in April and May 2013 with the spectropolarimeter Narval at Pic du Midi Observatory, France. 31 Comae is a single, rapidly rotating giant with rotational period ~6.8 d and vsini ~ 67 km/s. We present measurements and discuss variability of the longitudinal magnetic field (Bl), spectral activity indicators Hα, CaII H&K, Ca II IR triplet and evolutionary status. Our future aim is to perform a Zeeman-Doppler imaging study for the star.

  8. Evaluation of geochemical indicators for the genesis of core deposits by neutron activation analysis

    Neutron activation spectrometry has become an indispensable tool for geochemistry. As an example, its application in the investigation of the fractionation of rare-earth elements is reported. The Tb/Ca and Tb/Cl atomic ratios in Ca-minerals display whether they were formed as primary or secondary crystallizations under pegmatitic, hydrothermal or sedimentary conditions. In favourable cases even interactions of the core bearing solutions with country rocks can be recognized. Since fluorite and calcite often occur in paragenesis with other ore minerals they can be used as indicator minerals. Genetical informations derived for them can be applied to the ore deposit as a whole. (orig.)

  9. Geodynamic evolution of the Earth over the Phanerozoic:Plate tectonic activity and palaeoclimatic indicators

    Christian Vérard; Cyril Hochard; Peter O. Baumgartner; Gérard M. Stamplfi

    2015-01-01

    During the last decades, numerous local reconstructions based on ifeld geol-ogy were developed at the University of Lausanne (UNIL). Team members of the UNIL partici-pated in the elaboration of a 600 Ma to present global plate tectonic model deeply rooted in geological data, controlled by geometric and kinematic constraints and coherent with forces acting at plate boundaries. In this paper, we compare values derived from the tectonic model (ages of oceanic lfoor, production and subduction rates, tectonic activity) with a combination of chemical proxies (namely CO2, 87Sr/86Sr, glaciation evidence, and sea-level variations) known to be strongly in-lfuenced by tectonics. One of the outstanding results is the observation of an overall decreas-ing trend in the evolution of the global tectonic activity, mean oceanic ages and plate velocities over the whole Phanerozoic. We speculate that the decreasing trend relfects the global cooling of the Earth system. Additionally, the parallel between the tectonic activity and CO2 together with the extension of glaciations conifrms the generally accepted idea of a primary control of CO2 on climate and highlights the link between plate tectonics and CO2 in a time scale greater than 107 yr. Last, the wide variations observed in the reconstructed sea-lfoor production rates are in contradiction with the steady-state model hypothesized by some.

  10. A new class of indicators for the model selection of scaling laws in nuclear fusion

    Lupelli, I; Gaudio, P; Gelfusa, M; Mazon, D; Vega, J

    2013-01-01

    The development of computationally efficient model selection strategies represents an important problem facing the analysis of Nuclear Fusion experimental data, in particular in the field of scaling laws for the extrapolation to future machines, and image processing. In this paper, a new model selection indicator, named Model Falsification Criterion (MFC), will be presented and applied to the problem of choosing the most generalizable scaling laws for the power threshold to access the H-mode of confinement in Tokamaks. The proposed indicator is based on the properties of the model residuals, their entropy and an implementation of the data falsification principle. The model selection ability of the proposed criterion will be demonstrated in comparison with the most widely used frequentist (Akaike Information Criterion) and bayesian (Bayesian Information Criterion) indicators.

  11. Assessment of subclinical atherosclerosis in ankylosing spondylitis: correlations with disease activity indices

    F.M. Perrotta

    2013-07-01

    Full Text Available The aim of the study was to evaluate atherosclerosis in ankylosing spondylitis (AS through the assessment of morphological and functional measures of subclinical atherosclerosis. Twenty patients [M/F=12/8, age (median/range 43.5/28-69 years; disease duration (median/range 9.7/1-36 years] with AS classified according to modified New York criteria and twenty age and sex related healthy controls with negative past medical history for cardiovascular events were enrolled in the study. In all patients and controls, the intima-media thickness (IMT of common carotid artery, carotid bulb and internal carotid artery, and the flow-mediated dilatation (FMD of non-dominant arm brachial artery were determined, using a sonographic probe Esaote GPX (Genoa, Italy. Furthermore, we assess the main disease activity and disability indices [bath ankylosing spondylitis disease activity index, ankylosing spondylitis disease activity score-eritrosedimentation rate (ASDAS-ESR, ASDAS-C-reactive protein (CRP, bath ankylosing spondylitis metrology index, bath ankylosing spondylitis functional index and acute phase reactants. Plasmatic values of total cholesterol, low-density lipoprotein, high-density lipoprotein, triglyceride and homocysteine were carried out in all twenty patients. IMT at carotid bulb was significant higher in patients than in controls (0.67 mm vs 0.54 mm; P=0.03. FMD did not statistically differ between patients and controls (12.5% vs 15%; P>0.05. We found a correlation between IMT at carotid bulb and ESR (rho 0.43; P=0.04. No correlation was found between FMD and disease activity and disability indices. This study showed that in AS patients, without risk factors for cardiovascular disease, carotid bulb IMT, morphological index of subclinical atherosclerosis, is higher than in controls.

  12. Pollution evaluation in the Shahrood River: Do physico-chemical and macroinvertebrate-based indices indicate same responses to anthropogenic activities?

    Sharifinia, Moslem; Mahmoudifard, Abbas; Imanpour Namin, Javid; Ramezanpour, Zohreh; Yap, Chee Kong

    2016-09-01

    This study evaluates the impact of anthropogenic activities on the Shahrood River using water physico-chemical variables and macroinvertebrates data sets obtained over a period of 12 months between February 2012 and February 2013 at 8 sampling sites. Biotic indices i.e. FBI and BMWP based on macroinvertebrates and physico-chemical indices (MPI, HPI and NSF-WQI) were employed to evaluate the water quality status in connection with natural- and human-induced pressures. Based on physico-chemical indices, water quality was categorized as low polluted level and it is suitable for drinking purposes. The water quality based on biotic indices was related to the anthropic activities; a clear deterioration of the water quality was observed from upstream to downstream sites. The water quality along the river changed from very good (class I; reference sites) to good (class II; midstream sites) and turned into moderate (class III) and poor (class IV) quality (downstream sites). These findings indicate that biotic indices are more powerful indicators in assessing water quality than physico-chemical indices. Allocapnia, Glossosoma and Hesperoperla were exclusively related to least disturbed sites, and Naididae, Orthocladiinae and Ecdyonurus were found in sites showing notable degradation. Our results recommended that the use of macroinvertebrates could be employed as a cost-effective tool for biomonitoring and controlling of polluted riverine ecosystems in the Middle East. Finally, the results from this study may be useful not only for developing countries, but also for any organization struggling to use macroinvertebrate based indices with restricted financial resources and knowledge. PMID:27343865

  13. Combining docking and comparative molecular similarity indices analysis (COMSIA) to predict estrogen activity and probe molecular mechanisms of estrogen activity for estrogen compounds

    YANG XuShu; WANG XiaoDong; JI Li; LI Rong; SUN Cheng; WANG LianSheng

    2008-01-01

    Estrogen compounds are suspected of disrupting endocrine functions by mimicking natural hormones,and such compounds may pose a serious threat to the health of humans and wildlife. Close attention has been paid to the prediction and molecular mechanisms of estrogen activity for estrogen compounds. In this article, estrogen receptor a subtype (Era) -based comparative molecular similarity indices analysis (COMSIA) was performed on 44 estrogen compounds with structural diversity to find out the structural relationship with the activity and to predict the activity. The model with the significant correlation and the best predictive power (R2 = 0.965, (Q2LOO = 0.599, R2pred = 0.825) was achieved. The COMSIA and docking results revealed the structural features for estrogen activity and key amino acid residues in binding pocket, and provided an insight into the interaction between the ligands and these amino acid residues.

  14. Active Appearance Model Based Hand Gesture Recognition

    2005-01-01

    This paper addresses the application of hand gesture recognition in monocular image sequences using Active Appearance Model (AAM). For this work, the proposed algorithm is conposed of constructing AAMs and fitting the models to the interest region. In training stage, according to the manual labeled feature points, the relative AAM is constructed and the corresponding average feature is obtained. In recognition stage, the interesting hand gesture region is firstly segmented by skin and movement cues.Secondly, the models are fitted to the image that includes the hand gesture, and the relative features are extracted.Thirdly, the classification is done by comparing the extracted features and average features. 30 different gestures of Chinese sign language are applied for testing the effectiveness of the method. The Experimental results are given indicating good performance of the algorithm.

  15. Effects of Organized Physical Activity on Selected Health Indices among Women Older than 55 Years

    Piotr Zmijewski

    2015-01-01

    Full Text Available The main aim of this study was to determine health benefits among women older than 55 years who participated in organized, group-based physical activity (OPA. Thirty-five women aged 65.0 ± 7.3 years volunteered for this study. The classical and nonclassical cardiovascular (CVD risk factors were measured before and after a 2-week OPA camp in a remote location and 3 months of OPA. Self-guided physical activity was analyzed 18 months after OPA. Two-week effects included significant decreases in body mass index, waist and hip circumferences, resting systolic and diastolic blood pressure (BP and resting heart rate, improved exercise capacity (EC, improved low-density lipoprotein and high-density lipoprotein (HDL-C, cholesterol, and other atherogenic lipid indices (ALI, and a reduction in 10-year estimated risk of death from CVD. Three-month effects included a further decrease in systolic BP, improvements in EC and HDL-C, and maintenance of lower levels of ALI, as well as lower CVD risk. The implementation of the OPA programme had a positive impact on somatic features, exercise capacity, biochemical indices, and risk for death from CVD. The presented programme can be regarded as an effective element of primary prevention of cardiovascular diseases among women older than 55 years.

  16. LEADING INDICATORS FOR REGIONAL COTTON RESPONSE: STRUCTURAL AND TIME SERIES MODELING RESULTS

    Stavriotis, Paul A.; Houston, Jack E.; McIntosh, Christopher S.; Turner, Steven C.

    1998-01-01

    Resurging southeastern cotton production compels better cotton acreage forecasts for planning seed, chemical, and other input requirements. Structural models describe leading acreage response indicators, and forecasts are compared time-series models. Cotton price, loan rate, deficiency payments, lagged corn acreage, the PIK program, and previous cotton yield significantly influence response.

  17. LEADING INDICATORS OF REGIONAL COTTON ACREAGE RESPONSE: STRUCTURAL AND TIME SERIES MODELING RESULTS

    Houston, Jack E.; McIntosh, Christopher S.; Stavriotis, Paul A.; Turner, Steven C.

    1999-01-01

    Resurgent cotton production compels better acreage forecasts for planning seed, chemical, and other input requirements. Structural models describe leading acreage response indicators, and forecasts are compared to time-series models. Cotton price, loan rate, deficiency payments, lagged corn acreage, the PIK program, and previous cotton yield significantly influence cotton acreage response.

  18. Teaching Quality Management Model for the Training of Innovation Ability and the Multilevel Decomposition Indicators

    Lu, Xingjiang; Yao, Chen; Zheng, Jianmin

    2013-01-01

    This paper focuses on the training of undergraduate students' innovation ability. On top of the theoretical framework of the Quality Function Deployment (QFD), we propose a teaching quality management model. Based on this model, we establish a multilevel decomposition indicator system, which integrates innovation ability characterized by four…

  19. Modelling of Activated Sludge Wastewater Treatment

    Kurtanjeka, Ž.

    2008-02-01

    Full Text Available Activated sludge wastewater treatment is a highly complex physical, chemical and biological process, and variations in wastewater flow rate and its composition, combined with time-varying reactions in a mixed culture of microorganisms, make this process non-linear and unsteady. The efficiency of the process is established by measuring the quantities that indicate quality of the treated wastewater, but they can only be determined at the end of the process, which is when the water has already been processed and is at the outlet of the plant and released into the environment.If the water quality is not acceptable, it is already too late for its improvement, which indicates the need for a feed forward process control based on a mathematical model. Since there is no possibility of retracing the process steps back, all the mistakes in the control of the process could induce an ecological disaster of a smaller or bigger extent. Therefore, models that describe this process well may be used as a basis for monitoring and optimal control of the process development. This work analyzes the process of biological treatment of wastewater in the Velika Gorica plant. Two empirical models for the description of the process were established, multiple linear regression model (MLR with 16 predictor variables and piecewise linear regression model (PLR with 17 predictor variables. These models were developed with the aim to predict COD value of the effluent wastewater at the outlet, after treatment. The development of the models is based on the statistical analysis of experimental data, which are used to determine the relations among individual variables. In this work are applied linear models based on multiple linear regression (MLR and partial least squares (PLR methods. The used data were obtained by everyday measurements of the quantities that indicate the quality of the input and output water, working conditions of the plant and the quality of the activated sludge

  20. A combined sensitivity analysis and kriging surrogate modeling for early validation of health indicators

    To increase the dependability of complex systems, one solution is to assess their state of health continuously through the monitoring of variables sensitive to potential degradation modes. When computed in an operating environment, these variables, known as health indicators, are subject to many uncertainties. Hence, the stochastic nature of health assessment combined with the lack of data in design stages makes it difficult to evaluate the efficiency of a health indicator before the system enters into service. This paper introduces a method for early validation of health indicators during the design stages of a system development process. This method uses physics-based modeling and uncertainties propagation to create simulated stochastic data. However, because of the large number of parameters defining the model and its computation duration, the necessary runtime for uncertainties propagation is prohibitive. Thus, kriging is used to obtain low computation time estimations of the model outputs. Moreover, sensitivity analysis techniques are performed upstream to determine the hierarchization of the model parameters and to reduce the dimension of the input space. The validation is based on three types of numerical key performance indicators corresponding to the detection, identification and prognostic processes. After having introduced and formalized the framework of uncertain systems modeling and the different performance metrics, the issues of sensitivity analysis and surrogate modeling are addressed. The method is subsequently applied to the validation of a set of health indicators for the monitoring of an aircraft engine’s pumping unit

  1. The Stacked Leading Indicators Dynamic Factor Model: A Sensitivity Analysis of Forecast Accuracy using Bootstrapping

    Daniel Grenouilleau

    2006-01-01

    The paper introduces an approximate dynamic factor model based on the extraction of principal components from a very large number of leading indicators stacked at various lags. The model is designed to produce short-term forecasts that are computed with the EM algorithm implemented with the first few eigenvectors ordered by descending eigenvalues. A cross-sectional bootstrap experiment is used to shed light on the sensitivity of the factor model to factor selection and to sampling uncertainty...

  2. Spectral Bio-indicator Simulations for Tracking Photosynthetic Activities in a Corn Field

    Cheng, Yen-Ben; Middleton, Elizabeth M.; Huemmrich, K. Fred; Zhang, Qingyuan; Corp, Lawrence; Campbell, Petya; Kustas, William

    2011-01-01

    Accurate assessment of vegetation canopy optical properties plays a critical role in monitoring natural and managed ecosystems under environmental changes. In this context, radiative transfer (RT) models simulating vegetation canopy reflectance have been demonstrated to be a powerful tool for understanding and estimating spectral bio-indicators. In this study, two narrow band spectroradiometers were utilized to acquire observations over corn canopies for two summers. These in situ spectral data were then used to validate a two-layer Markov chain-based canopy reflectance model for simulating the Photochemical Reflectance Index (PRI), which has been widely used in recent vegetation photosynthetic light use efficiency (LUE) studies. The in situ PRI derived from narrow band hyperspectral reflectance exhibited clear responses to: 1) viewing geometry which affects the asset of light environment; and 2) seasonal variation corresponding to the growth stage. The RT model (ACRM) successfully simulated the responses to the variable viewing geometry. The best simulations were obtained when the model was set to run in the two layer mode using the sunlit leaves as the upper layer and shaded leaves as the lower layer. Simulated PRI values yielded much better correlations to in situ observations when the cornfield was dominated by green foliage during the early growth, vegetative and reproductive stages (r = 0.78 to 0.86) than in the later senescent stage (r = 0.65). Further sensitivity analyses were conducted to show the important influences of leaf area index (LAI) and the sunlit/shaded ratio on PRI observations.

  3. Evaluating Model Fit for Growth Curve Models: Integration of Fit Indices from SEM and MLM Frameworks

    Wu, Wei; West, Stephen G.; Taylor, Aaron B.

    2009-01-01

    Evaluating overall model fit for growth curve models involves 3 challenging issues. (a) Three types of longitudinal data with different implications for model fit may be distinguished: balanced on time with complete data, balanced on time with data missing at random, and unbalanced on time. (b) Traditional work on fit from the structural equation…

  4. Development and validation of stability indicating UPLC assay method for ziprasidone active pharma ingredient

    Sonam Mittal

    2012-01-01

    Full Text Available Background: Ziprasidone, a novel antipsychotic, exhibits a potent highly selective antagonistic activity on D2 and 5HT2A receptors. Literature survey for ziprasidone revealed several analytical methods based on different techniques but no UPLC method has been reported so far. Aim: Aim of this research paper is to present a simple and rapid stability indicating isocratic, ultra performance liquid chromatographic (UPLC method which was developed and validated for the determination of ziprasidone active pharmaceutical ingredient. Forced degradation studies of ziprasidone were studied under acid, base, oxidative hydrolysis, thermal stress and photo stress conditions. Materials and Methods: The quantitative determination of ziprasidone drug was performed on a Supelco analytical column (100×2.1 mm i.d., 2.7 ΅m with 10 mM ammonium acetate buffer (pH: 6.7 and acetonitrile (ACN as mobile phase with the ratio (55:45-Buffer:ACN at a flow rate of 0.35 ml/ min. For UPLC method, UV detection was made at 318 nm and the run time was 3 min. Developed UPLC method was validated as per ICH guidelines. Results and Conclusion: Mild degradation of the drug substance was observed during oxidative hydrolysis and considerable degradation observed during basic hydrolysis. During method validation, parameters such as precision, linearity, ruggedness, stability, robustness, and specificity were evaluated, which remained within acceptable limits. Developed UPLC method was successfully applied for evaluating assay of Ziprasidone active Pharma ingredient.

  5. Raised serum level of APRIL in patients with systemic lupus erythematosus: correlations with disease activity indices.

    Hegazy, M; Darwish, H; Darweesh, H; El-Shehaby, A; Emad, Y

    2010-04-01

    The aim of the present study is to assess serum APRIL levels in SLE patients versus rheumatoid arthritis (RA) patients and normal control and to correlate serum APRIL levels in SLE patients with disease activity indices. Serum APRIL levels was measured in 40 SLE patients, 20 patients with RA and 20 healthy volunteers who served as control group. Disease activity in SLE patients was assessed by the British Isles Lupus Assessment Group (BILAG) index and SLE disease activity index (SLEDAI), and results were correlated with serum APRIL levels. Significantly higher serum APRIL levels was observed in SLE patients compared to RA patients and normal controls (p=0.003 and p < or = 0.001, respectively). Positive correlations were found between serum APRIL levels and total BILAG index (r=0.486 and p=0.001), BILAG musculoskeletal score (r=0.848 and p < or = 0.001) and BILAG cardiorespiratory score (r=0.326 and 0.04). Serum APRIL was higher in SLE patients compared to RA patients and normal control subjects and positively correlates with BILAG index and higher levels may be associated with musculoskeletal manifestations of the disease. APRIL antagonism could be a potential therapeutic target in SLE. PMID:20116334

  6. Modelling spatiotemporal distribution patterns of earthworms in order to indicate hydrological soil processes

    Palm, Juliane; Klaus, Julian; van Schaik, Loes; Zehe, Erwin; Schröder, Boris

    2010-05-01

    Soils provide central ecosystem functions in recycling nutrients, detoxifying harmful chemicals as well as regulating microclimate and local hydrological processes. The internal regulation of these functions and therefore the development of healthy and fertile soils mainly depend on the functional diversity of plants and animals. Soil organisms drive essential processes such as litter decomposition, nutrient cycling, water dynamics, and soil structure formation. Disturbances by different soil management practices (e.g., soil tillage, fertilization, pesticide application) affect the distribution and abundance of soil organisms and hence influence regulating processes. The strong relationship between environmental conditions and soil organisms gives us the opportunity to link spatiotemporal distribution patterns of indicator species with the potential provision of essential soil processes on different scales. Earthworms are key organisms for soil function and affect, among other things, water dynamics and solute transport in soils. Through their burrowing activity, earthworms increase the number of macropores by building semi-permanent burrow systems. In the unsaturated zone, earthworm burrows act as preferential flow pathways and affect water infiltration, surface-, subsurface- and matrix flow as well as the transport of water and solutes into deeper soil layers. Thereby different ecological earthworm types have different importance. Deep burrowing anecic earthworm species (e.g., Lumbricus terrestris) affect the vertical flow and thus increase the risk of potential contamination of ground water with agrochemicals. In contrast, horizontal burrowing endogeic (e.g., Aporrectodea caliginosa) and epigeic species (e.g., Lumbricus rubellus) increase water conductivity and the diffuse distribution of water and solutes in the upper soil layers. The question which processes are more relevant is pivotal for soil management and risk assessment. Thus, finding relevant

  7. Prioritizing Public- Private Partnership Models for Public Hospitals of Iran Based on Performance Indicators

    Mohammad Asghari Jaafarabadi

    2012-12-01

    Full Text Available Background: The present study was conducted to scrutinize Public- Private Partnership (PPP models in public hospitals of different countries based on performance indicators in order to se-lect appropriated models for Iran hospitals.Methods: In this mixed (quantitative-qualitative study, systematic review and expert panel hasbeen done to identify varied models of PPP as well as performance indicators. In the second stepwe prioritized performance indicator and PPP models based on selected performance indicatorsby Analytical Hierarchy process (AHP technique. The data were analyzed by Excel 2007 andExpert Choice11 software’s.Results: In quality – effectiveness area, indicators like the rate of hospital infections(100%, hospital accidents prevalence rate (73%, pure rate of hospital mortality (63%, patientsatisfaction percentage (53%, in accessibility equity area indicators such as average inpatientwaiting time (100% and average outpatient waiting time (74%, and in financial – efficiency area,indicators including average length of stay (100%, bed occupation ratio (99%, specific incometo total cost ratio (97% have been chosen to be the most key performance indicators. In the prioritizationof the PPP models clinical outsourcing, management, privatization, BOO (build, own,operate and non-clinical outsourcing models, achieved high priority for various performance indicatorareas.Conclusion: This study had been provided the most common PPP options in the field of public hospitals and had gathered suitable evidences from experts for choosing appropriate PPP option for public hospitals. Effect of private sector presence in public hospital performance, based on which PPP options undertaken, will be different.

  8. Estimating Inflows to Lake Okeechobee Using Climate Indices: A Machine Learning Modeling Approach

    Kalra, A.; Ahmad, S.

    2008-12-01

    The operation of regional water management systems that include lakes and storage reservoirs for flood control and water supply can be significantly improved by using climate indices. This research is focused on forecasting Lag 1 annual inflow to Lake Okeechobee, located in South Florida, using annual oceanic- atmospheric indices of Pacific Decadal Oscillation (PDO), North Atlantic Oscillation (NAO), Atlantic Multidecadal Oscillation (AMO), and El Nino-Southern Oscillations (ENSO). Support Vector Machine (SVM) and Least Square Support Vector Machine (LSSVM), belonging to the class of data driven models, are developed to forecast annual lake inflow using annual oceanic-atmospheric indices data from 1914 to 2003. The models were trained with 80 years of data and tested for 10 years of data. Based on Correlation Coefficient, Root Means Square Error, and Mean Absolute Error model predictions were in good agreement with measured inflow volumes. Sensitivity analysis, performed to evaluate the effect of individual and coupled oscillations, revealed a strong signal for AMO and ENSO indices compared to PDO and NAO indices for one year lead-time inflow forecast. Inflow predictions from the SVM models were better when compared with the predictions obtained from feed forward back propagation Artificial Neural Network (ANN) models.

  9. Diagnostic Accuracy of Anthropometric Indicators in the Prediction of Urinary Incontinence in Physically Active Older Women.

    Menezes, Enaiane Cristina; Virtuoso, Janeisa Franck; Capeletto, Eduardo; Silva, Lislayne Luiza da; Chagas, Jodelle Machado; Mazo, Giovana Zarpellon

    2016-08-01

    Purpose To determine the diagnostic accuracy and the cutoff point of the variables conicity index, waist to height ratio and fat percentage to detect urinary incontinence in physically active older women. Method A total of 152 women were analyzed. The instruments used were the International Physical Activity Questionnaire (IPAQ [Area 4]) to check the level of physical activity, and the Diagnostic Form to obtain sociodemographic data and presence of urinary incontinence. To calculate the conicity index, waist to height ratio and fat percentage, body mass, height and waist circumference were measured. Descriptive and inferential statistics were used. Cutoff points, sensitivity (S) and specificity (SP) were determined by receiver operating characteristic (ROC) curves. A 5% significance level was adopted. Results The prevalence of urinary incontinence was of 32.2%. The cutoff point with better sensitivity and specificity for the conicity index was 1.23 (S = 87.8; SP = 35.9); for the waist to height ratio, it was 0.57 (S = 79.6; SP = 45.6); and for the fat percentage, it was 39.71 (S = 89.8; SP = 42.7). The area under the ROC curve was 0.666 for the conicity index, 0.653 for the waist to height ratio, and 0.660 for the fat percentage. Conclusions The cutoff points for the anthropometric measurements conicity index, waist to height ratio and fat percentage indicate that these measures can be used to predict urinary incontinence in physically active older women. Furthermore, fat percentage seemed to be the best measure for this population. PMID:27571385

  10. Pharmacodynamic monitoring of immunosuppressive effects indicates reduced cyclosporine activity during telaprevir therapy.

    Roos, Katja; Gotthardt, Daniel; Giese, Thomas; Schnitzler, Paul; Stremmel, Wolfgang; Czock, David; Eisenbach, Christoph

    2014-09-01

    Drug interactions with immunosuppressive drugs are a major problem associated with protease inhibitor-based antiviral triple therapy for hepatitis C virus (HCV) reinfection after liver transplantation. In this retrospective cohort study, we analyzed biomarkers of the immunosuppressive effects of cyclosporine A (CSA) by quantifying nuclear factor of activated T cells (NFAT)-regulated gene expression during telaprevir (TVR) therapy in 5 liver transplant patients. Furthermore, dose adjustments and blood concentrations of CSA as well as the clinical course were analyzed. We observed a clear impact of TVR not only on doses and blood concentrations but also on the immunosuppressive effects of CSA. Despite apparently adequate CSA trough concentrations, the CSA peak concentration decreased to 68% (range = 44%-90%). This was associated with a 1.9-fold (1.6- to 4.1-fold) increase in the residual gene activity of NFAT-regulated genes, which indicated reduced immunosuppressive activity of CSA with TVR co-medication. The median dose of CSA was reduced to 25% (range = 16%-48%) and 31% (range = 22%-64%) after 1 and 2 weeks, respectively. The CSA drug clearance was reduced to 38.7% (range = 31.0%-49.4%). We report excellent antiviral efficacy. At the end of the observation period, all patients were HCV RNA-negative (1 patient at 18 weeks, 1 patient at 12 weeks, and 3 patients at 4 weeks after the end of therapy). Safety was acceptable, with mild acute rejection and reactivation of cytomegalovirus being the most serious adverse events. One patient with histologically proven recurrent cholestatic hepatitis before therapy underwent retransplantation during the course of antiviral therapy. In conclusion, the immunomonitoring of NFAT-regulated gene expression indicated reduced immunosuppressive activity of CSA during antiviral therapy with TVR in our cohort of liver transplant patients. Thus, the immunosuppressive effects of CSA may be overestimated if one is looking

  11. Patent value models: partial least squares path modelling with mode C and few indicators

    Martínez Ruiz, Alba

    2011-01-01

    Two general goals were raised in this thesis: First, to establish a PLS model for patent value and to investigate causality relationships among variables that determine the patent value; second, to investigate the performance of Partial Least Squares (PLS) Path Modelling with Mode C inthe context of patent value models. This thesis is organized in 10 chapters. Chapter 1 presents an introduction to the thesis that includes the objectives, research scope and the document’s structure. C...

  12. Forecast and restoration of geomagnetic activity indices by using the software-computational neural network complex

    Barkhatov, Nikolay; Revunov, Sergey

    2010-05-01

    It is known that currently used indices of geomagnetic activity to some extent reflect the physical processes occurring in the interaction of the perturbed solar wind with Earth's magnetosphere. Therefore, they are connected to each other and with the parameters of near-Earth space. The establishment of such nonlinear connections is interest. For such purposes when the physical problem is complex or has many parameters the technology of artificial neural networks is applied. Such approach for development of the automated forecast and restoration method of geomagnetic activity indices with the establishment of creative software-computational neural network complex is used. Each neural network experiments were carried out at this complex aims to search for a specific nonlinear relation between the analyzed indices and parameters. At the core of the algorithm work program a complex scheme of the functioning of artificial neural networks (ANN) of different types is contained: back propagation Elman network, feed forward network, fuzzy logic network and Kohonen layer classification network. Tools of the main window of the complex (the application) the settings used by neural networks allow you to change: the number of hidden layers, the number of neurons in the layer, the input and target data, the number of cycles of training. Process and the quality of training the ANN is a dynamic plot of changing training error. Plot of comparison of network response with the test sequence is result of the network training. The last-trained neural network with established nonlinear connection for repeated numerical experiments can be run. At the same time additional training is not executed and the previously trained network as a filter input parameters get through and output parameters with the test event are compared. At statement of the large number of different experiments provided the ability to run the program in a "batch" mode is stipulated. For this purpose the user a

  13. Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses.

    Carson, Valerie; Tremblay, Mark S; Chaput, Jean-Philippe; Chastin, Sebastien F M

    2016-06-01

    The purpose of this study was to examine the relationships between movement behaviours (sleep duration, sedentary time, physical activity) and health indicators in a representative sample of children and youth using compositional analyses. Cross-sectional findings are based on 4169 children and youth (aged 6-17 years) from cycles 1 to 3 of the Canadian Health Measures Survey. Sedentary time (SB), light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Sleep duration was subjectively measured. Body mass index z scores, waist circumference, blood pressure, behavioural strengths and difficulties, and aerobic fitness were measured in the full sample. Triglycerides, high-density lipoprotein-cholesterol, C-reactive protein, and insulin were measured in a fasting subsample. The composition of movement behaviours was entered into linear regression models via an isometric log ratio transformation and was found to be associated with all health indicators (p aerobic fitness. Likewise, MVPA was also negatively associated with several cardiometabolic risk markers (p < 0.008). Compositional data analyses provide novel insights into collective health implications of 24-h movement behaviours and can facilitate interesting avenues for future investigations. PMID:27306435

  14. Genetically encoded calcium indicators for multi-color neural activity imaging and combination with optogenetics

    Jasper eAkerboom

    2013-03-01

    Full Text Available Genetically encoded calcium indicators (GECIs are powerful tools for systems neuroscience. Here we describe red, single-wavelength GECIs, RCaMPs, engineered from circular permutation of the thermostable red fluorescent protein mRuby. High-resolution crystal structures of mRuby, the red sensor RCaMP, and the recently published red GECI R-GECO1 give insight into the chromophore environments of the Ca2+-bound state of the sensors and the engineered protein domain interfaces of the different indicators. We characterized the biophysical properties and performance of RCaMP sensors in vitro and in vivo in Caenorhabditis elegans, Drosophila larvae, and larval zebrafish. Further, we demonstrate 2-color calcium imaging both within the same cell (registering mitochondrial and somatic [Ca2+] and between two populations of cells: neurons and astrocytes. Finally, we perform integrated optogenetics experiments, wherein neural activation via channelrhodopsin-2 (ChR2 or a red-shifted variant, and activity imaging via RCaMP or GCaMP, are conducted simultaneously, with the ChR2/RCaMP pair providing independently addressable spectral channels. Using this paradigm, we measure calcium responses of naturalistic and ChR2-evoked muscle contractions in vivo in crawling C. elegans. We systematically compare the RCaMP sensors to R-GECO1, in terms of action potential-evoked fluorescence increases in neurons, photobleaching, and photoswitching. R-GECO1 displays higher Ca2+ affinity and larger dynamic range than RCaMP, but exhibits significant photoactivation with blue and green light, suggesting that integrated channelrhodopsin-based optogenetics using R-GECO1 may be subject to artifact. Finally, we create and test blue, cyan and yellow variants engineered from GCaMP by rational design. This engineered set of chromatic variants facilitates new experiments in functional imaging and optogenetics.

  15. Sensitivity analysis of model output - a step towards robust safety indicators?

    Broed, R.; Pereira, A.; Moberg, L. [Stockholm Univ., Nuclear Physics Dept. (Sweden)

    2004-07-01

    The protection of the environment from ionising radiation challenges the radioecological community with the issue of harmonising disparate safety indicators. These indicators should preferably cover the whole spectrum of model predictions on chemo-toxic and radiation impact of contaminants. In question is not only the protection of man and biota but also of abiotic systems. In many cases modelling will constitute the basis for an evaluation of potential impact. It is recognised that uncertainty and sensitivity analysis of model output will play an important role in the 'construction' of safety indicators that are robust, reliable and easy to explain to all groups of stakeholders including the general public. However, environmental models of transport of radionuclides have some extreme characteristics. They are, a) complex, b) non-linear, c) include a huge number of input parameters, d) input parameters are associated with large or very large uncertainties, e) parameters are often correlated to each other, f) uncertainties other than parameter-driven may be present in the modelling system, g) space variability and time-dependence of parameters are present, h) model predictions may cover geological time scales. Consequently, uncertainty and sensitivity analysis are non-trivial tasks, challenging the decision-maker when it comes to the interpretation of safety indicators or the application of regulatory criteria. In this work we use the IAEA model ISAM, to make a set of Monte Carlo calculations. The ISAM model includes several nuclides and decay chains, many compartments and variable parameters covering the range of nuclide migration pathways from the near field to the biosphere. The goal of our calculations is to make a global sensitivity analysis. After extracting the non-influential parameters, the M.C. calculations are repeated with those parameters frozen. Reducing the number of parameters to a few ones will simplify the interpretation of the results

  16. Sensitivity analysis of model output - a step towards robust safety indicators?

    The protection of the environment from ionising radiation challenges the radioecological community with the issue of harmonising disparate safety indicators. These indicators should preferably cover the whole spectrum of model predictions on chemo-toxic and radiation impact of contaminants. In question is not only the protection of man and biota but also of abiotic systems. In many cases modelling will constitute the basis for an evaluation of potential impact. It is recognised that uncertainty and sensitivity analysis of model output will play an important role in the 'construction' of safety indicators that are robust, reliable and easy to explain to all groups of stakeholders including the general public. However, environmental models of transport of radionuclides have some extreme characteristics. They are, a) complex, b) non-linear, c) include a huge number of input parameters, d) input parameters are associated with large or very large uncertainties, e) parameters are often correlated to each other, f) uncertainties other than parameter-driven may be present in the modelling system, g) space variability and time-dependence of parameters are present, h) model predictions may cover geological time scales. Consequently, uncertainty and sensitivity analysis are non-trivial tasks, challenging the decision-maker when it comes to the interpretation of safety indicators or the application of regulatory criteria. In this work we use the IAEA model ISAM, to make a set of Monte Carlo calculations. The ISAM model includes several nuclides and decay chains, many compartments and variable parameters covering the range of nuclide migration pathways from the near field to the biosphere. The goal of our calculations is to make a global sensitivity analysis. After extracting the non-influential parameters, the M.C. calculations are repeated with those parameters frozen. Reducing the number of parameters to a few ones will simplify the interpretation of the results and the use

  17. The Activity Analysis of Companies within Certain Economic Sectors Based on Risk Indicators

    Iustin Dalea

    2013-04-01

    Full Text Available The paper represents a topical subject in the economic-financial field and constitutes a particular interest to some specialists from the economic environment, because it presents a conscious and calculated assuming of the reality, evaluated equally in time and space. The practical research of this paper is materialized in a scientific approach that includes a number of 27 companies, divided equally in three economic sectors (production, construction and tourism, which has in view the obtainment of useful and perspective information, concerning the impact that risk indicators have on activities which underlie at each economic sector. The purpose of this research is developing and deepening the risk problematic, focusing on the role of relevant financial indicators, with which can be identified the optimal solutions of each analyzed company from the corresponding economic sector, allowing the formulation of some proposals and structure analysis that are intended to contribute to the development of knowledge in the domain studied. The paper itself is a matter of utmost importance, because it attempts to provide a comprehensive picture of the current stage in which the economic entities are found and responds to exigencies faced by managers in the current economic context.

  18. Sustainable Tourism Indicators:Issues and Challenges in the Development of a Sustainable Tourism Management Model

    Griffin, Kevin

    2007-01-01

    While it is generally agreed that sustainability is the only long term path for tourism the question of how it should be measured (or attained) remains a challenge. Based on a 2 year EPA funded project this paper traces the development of indicators for sustainable tourism and discusses how they would be of considerable benefit to both government agencies and tourist interests, in the determination of management objectives for an area. It outlines a model of sustainable tourism indicators wh...

  19. Using stand-scale forest models for estimating indicators of sustainable forest management

    Mäkelä, Annikki; Rio, Miren del; Hynynen, Jari; Hawkins, Michael J.; Reyer, Christopher; Soares, Paula; Van Oijen, Marcel; Tomé, Margarida

    2012-01-01

    Criteria and indicators (C & I) to evaluate the sustainability of forest management have been proposed by the Ministerial Conference on the Protection of Forests in Europe. Although primarily defined at the national scale, these C & I also have implications at scales ranging from forest stands to the forest management unit. In this paper, we review existing forest growth and ecosystem models from the point of view of applicability to prediction of indicators of sustainable management, focusin...

  20. A participatory evaluation model for Healthier Communities: developing indicators for New Mexico.

    Wallerstein, N

    2000-01-01

    Participatory evaluation models that invite community coalitions to take an active role in developing evaluations of their programs are a natural fit with Healthy Communities initiatives. The author describes the development of a participatory evaluation model for New Mexico's Healthier Communities program. She describes evaluation principles, research questions, and baseline findings. The evaluation model shows the links between process, community-level system impacts, and population health ...

  1. Model based on diffuse logic for the construction of indicators of urban vulnerability in natural phenomena

    Upon considering the vulnerability of a urban system in a holistic way and taking into account some natural, technological and social factors, a model based upon a system of fuzzy logic, allowing to estimate the vulnerability of any system under natural phenomena potentially catastrophic is proposed. The model incorporates quantitative and qualitative variables in a dynamic system, in which variations in one of them have a positive or negative impact over the rest. An urban system model and an indicator model to determine the vulnerability due to natural phenomena were designed

  2. Vertical specialisation indicator based on supply-driven input-output model

    Meng, Bo; Yamano, Norihiko; Webb, Colin; 孟, 渤; 山野, 紀彦

    2010-01-01

    “Import content of exports”, based on Leontief’s demand-driven input-output model, has been widely used as an indicator to measure a country’s degree of participation in vertical specialisation trade. At a sectoral level, this indicator represents the share of inter-mediates imported by all sectors embodied in a given sector’s exported output. However, this indicator only reflects one aspect of vertical specialisation – the demand side. This paper discusses the possibility of using the input-...

  3. An Indicator of Research Front Activity: Measuring Intellectual Organization as Uncertainty Reduction in Document Sets

    Lucio-Arias, Diana

    2009-01-01

    When using scientific literature to model scholarly discourse, a research specialty can be operationalized as an evolving set of related documents. Each publication can be expected to contribute to the further development of the specialty at the research front. The specific combinations of title words and cited references in a paper can then be considered as a signature of the knowledge claim in the paper: new words and combinations of words can be expected to represent variation, while each paper is at the same time selectively positioned into the intellectual organization of a field using context-relevant references. Can the mutual information among these three dimensions--title words, cited references, and sequence numbers--be used as an indicator of the extent to which intellectual organization structures the uncertainty prevailing at a research front? The effect of the discovery of nanotubes (1991) on the previously existing field of fullerenes is used as a test case. Thereafter, this method is applied t...

  4. Trends in global vegetation activity and climatic drivers indicate a decoupled response to climate change

    Schut, Antonius G T; Ivits, Eva; Conijn, Jacob G.; Ten Brink, Ben; Fensholt, Rasmus

    2015-01-01

    increasing difference between trends in climatic drivers and observed NDVI for large parts of the globe. Our findings suggest that future scenarios must consider impacts of constraints on plant growth such as extremes in weather and nutrient availability to predict changes in NPP and CO2 sequestration......Detailed understanding of a possible decoupling between climatic drivers of plant productivity and the response of ecosystems vegetation is required. We compared trends in six NDVI metrics (1982-2010) derived from the GIMMS3g dataset with modelled biomass productivity and assessed uncertainty in...... TBWper biome and land-use type. The simple linear and Thiel-Sen trends did not differ much whereas PWR increased the fraction of explained variation, depending on the NDVI metric considered. A positive trend in TBW indicating more favorable climatic conditions was found for 24% of pixels on land, and for...

  5. Trends in global vegetation activity and climatic drivers indicate a decoupled response to climate change

    Schut, Antonius G T; Ivits, Eva; Conijn, Jacob G.;

    2015-01-01

    an increasing difference between trends in climatic drivers and observed NDVI for large parts of the globe. Our findings suggest that future scenarios must consider impacts of constraints on plant growth such as extremes in weather and nutrient availability to predict changes in NPP and CO2 sequestration......Detailed understanding of a possible decoupling between climatic drivers of plant productivity and the response of ecosystems vegetation is required. We compared trends in six NDVI metrics (1982-2010) derived from the GIMMS3g dataset with modelled biomass productivity and assessed uncertainty......-NPP) and TBWper biome and land-use type. The simple linear and Thiel-Sen trends did not differ much whereas PWR increased the fraction of explained variation, depending on the NDVI metric considered. A positive trend in TBW indicating more favorable climatic conditions was found for 24% of pixels on land...

  6. Trends in Global Vegetation Activity and Climatic Drivers Indicate a Decoupled Response to Climate Change.

    Antonius G T Schut

    Full Text Available Detailed understanding of a possible decoupling between climatic drivers of plant productivity and the response of ecosystems vegetation is required. We compared trends in six NDVI metrics (1982-2010 derived from the GIMMS3g dataset with modelled biomass productivity and assessed uncertainty in trend estimates. Annual total biomass weight (TBW was calculated with the LINPAC model. Trends were determined using a simple linear regression, a Thiel-Sen medium slope and a piecewise regression (PWR with two segments. Values of NDVI metrics were related to Net Primary Production (MODIS-NPP and TBW per biome and land-use type. The simple linear and Thiel-Sen trends did not differ much whereas PWR increased the fraction of explained variation, depending on the NDVI metric considered. A positive trend in TBW indicating more favorable climatic conditions was found for 24% of pixels on land, and for 5% a negative trend. A decoupled trend, indicating positive TBW trends and monotonic negative or segmented and negative NDVI trends, was observed for 17-36% of all productive areas depending on the NDVI metric used. For only 1-2% of all pixels in productive areas, a diverging and greening trend was found despite a strong negative trend in TBW. The choice of NDVI metric used strongly affected outcomes on regional scales and differences in the fraction of explained variation in MODIS-NPP between biomes were large, and a combination of NDVI metrics is recommended for global studies. We have found an increasing difference between trends in climatic drivers and observed NDVI for large parts of the globe. Our findings suggest that future scenarios must consider impacts of constraints on plant growth such as extremes in weather and nutrient availability to predict changes in NPP and CO2 sequestration capacity.

  7. Socio-economic vulnerability to natural hazards - proposal for an indicator-based model

    Eidsvig, U.; McLean, A.; Vangelsten, B. V.; Kalsnes, B.; Ciurean, R. L.; Argyroudis, S.; Winter, M.; Corominas, J.; Mavrouli, O. C.; Fotopoulou, S.; Pitilakis, K.; Baills, A.; Malet, J. P.

    2012-04-01

    Vulnerability assessment, with respect to natural hazards, is a complex process that must consider multiple dimensions of vulnerability, including both physical and social factors. Physical vulnerability refers to conditions of physical assets, and may be modeled by the intensity and magnitude of the hazard, the degree of physical protection provided by the natural and built environment, and the physical robustness of the exposed elements. Social vulnerability refers to the underlying factors leading to the inability of people, organizations, and societies to withstand impacts from the natural hazards. Social vulnerability models can be used in combination with physical vulnerability models to estimate both direct losses, i.e. losses that occur during and immediately after the impact, as well as indirect losses, i.e. long-term effects of the event. Direct impact of a landslide typically includes casualties and damages to buildings and infrastructure while indirect losses may e.g. include business closures or limitations in public services. The direct losses are often assessed using physical vulnerability indicators (e.g. construction material, height of buildings), while indirect losses are mainly assessed using social indicators (e.g. economical resources, demographic conditions). Within the EC-FP7 SafeLand research project, an indicator-based method was proposed to assess relative socio-economic vulnerability to landslides. The indicators represent the underlying factors which influence a community's ability to prepare for, deal with, and recover from the damage associated with landslides. The proposed model includes indicators representing demographic, economic and social characteristics as well as indicators representing the degree of preparedness and recovery capacity. Although the model focuses primarily on the indirect losses, it could easily be extended to include more physical indicators which account for the direct losses. Each indicator is individually

  8. Modelling indicators of water security, water pollution and aquatic biodiversity in Europe

    Dumont, Egon; Williams, Richard; Keller, Virginie; Voss, Anja; Tattari, Sirkka

    2012-01-01

    The GWAVA (Global Water AVailability Assessment) model for indicating human water security has been extended with a newly developed module for calculating pollutant concentrations. This module is first described and then illustrated by being used to model nitrogen, phosphorus and organic matter concentrations. The module uses solely input variables that are likely to be available for future scenarios, making it possible to apply the module to such scenarios. The module first calculates pollut...

  9. The Antioxidant Activity and the Effects of Convolvulus Aucheri (Convolvulaceae Extract on Biochemical Indices in Rats

    R. MAMMADOV

    2014-06-01

    Full Text Available Convolvulus L., the second largest genus of the family Convolvulaceae, has about 250 species distributed mainly in the temperate and tropical regions of the world, with a cosmopolitan distribution. According to recent studies, this genus is represented in Turkey by 33 species, 9 of which are endemic. Convolvulus species are extensively used in traditional medicine for various purposes as in ulcer treatment, diabetes, and tension. The aim of this study was to investigate the antioxidant activity and the effects of Convolvulus aucheri extract on biochemical indices in rats.The antioxidant activities of various solvent extracts (methanol, ethanol, acetone and benzene obtained from C. aucheri were evaluated by using 2,2-diphenyl-1-picrylhydrazyl (DPPH and β-carotene-linoleic acid assays. In addition, total phenolic contents in all the extracts of C. aucheri were determined as gallic acid equivalents. As for the biochemical assay, the extracts of the plant at the concentrations of 0.5 and 1 ml/100 g body weight/day were administered orally to the experimental groups for 36 days. Blood samples were taken by cardiac venipuncture on the 2nd and 4th weeks after the initial treatment. Aspartate aminotransferase (AST, alanine aminotransferase (ALT, gamma-glutamyltransferase (GGT and blood urea nitrogen (BUN were measured for the determination of liver function.Among all the extracts, the ethanolic extracts of C. aucheri showed the highest antioxidant activity (66.88 ± 0.8%. The highest free radical scavenging activity (59.50 ± 1.2% was recorded on the ethanolic extracts. The phenolic contents of the ethanolic extracts are higher than the other types of extracts (23.03 mg/g GAE. In biochemical assay, it was found a significant increase in the levels of serum ALT, AST and decrease the serum GGT levels in the experimental groups when compared to the controls (p<0.05. On the other hand, we found significant increase in the level of BUN.

  10. Modeling drought impact occurrence based on meteorological drought indices in Europe

    Stagge, James H.; Kohn, Irene; Tallaksen, Lena M.; Stahl, Kerstin

    2015-11-01

    There is a vital need for research that links meteorological drought indices with drought impacts felt on the ground. Previously, this link has been estimated based on experience or defined based on very narrow impact measures. This study expands on earlier work by showing the feasibility of relating user-provided impact reports with meteorological drought indices, the Standardized Precipitation Index and the Standardized Precipitation-Evapotranspiration Index, through logistic regression, while controlling for seasonal and interannual effects. Analysis includes four impact types, spanning agriculture, energy and industry, public water supply, and freshwater ecosystem across five European countries. Statistically significant climate indices are retained as predictors using step-wise regression and used to compare the most relevant drought indices and accumulation periods across different impact types and regions. Agricultural impacts are explained by 2-12 month anomalies, though anomalies greater than 3 months are likely related to agricultural management practices. Energy and industrial impacts, typically related to hydropower and energy cooling water, respond slower (6-12 months). Public water supply and freshwater ecosystem impacts are explained by a more complex combination of short (1-3 month) and seasonal (6-12 month) anomalies. The resulting drought impact models have both good model fit (pseudo-R2 = 0.225-0.716) and predictive ability, highlighting the feasibility of using such models to predict drought impact likelihood based on meteorological drought indices.

  11. Artificial neural network model for prediction of safety performance indicators goals in nuclear plants

    Souto, Kelling C.; Nunes, Wallace W. [Instituto Federal de Educacao, Ciencia e Tecnologia do Rio de Janeiro, Nilopolis, RJ (Brazil). Lab. de Aplicacoes Computacionais; Machado, Marcelo D., E-mail: dornemd@eletronuclear.gov.b [ELETROBRAS Termonuclear S.A. (ELETRONUCLEAR), Rio de Janeiro, RJ (Brazil). Gerencia de Combustivel Nuclear - GCN.T

    2011-07-01

    Safety performance indicators have been developed to provide a quantitative indication of the performance and safety in various industry sectors. These indexes can provide assess to aspects ranging from production, design, and human performance up to management issues in accordance with policy, objectives and goals of the company. The use of safety performance indicators in nuclear power plants around the world is a reality. However, it is necessary to periodically set goal values. Such goals are targets relating to each of the indicators to be achieved by the plant over a predetermined period of operation. The current process of defining these goals is carried out by experts in a subjective way, based on actual data from the plant, and comparison with global indices. Artificial neural networks are computational techniques that present a mathematical model inspired by the neural structure of intelligent organisms that acquire knowledge through experience. This paper proposes an artificial neural network model aimed at predicting values of goals to be used in the evaluation of safety performance indicators for nuclear power plants. (author)

  12. Spectral Color Indices Based Geospatial Modeling of Soil Organic Matter in Chitwan District, Nepal

    Mandal, Umesh K.

    2016-06-01

    Space Technology provides a resourceful-cost effective means to assess soil nutrients essential for soil management plan. Soil organic matter (SOM) is one of valuable controlling productivity of crops by providing nutrient in farming systems. Geospatial modeling of soil organic matter is essential if there is unavailability of soil test laboratories and its strong spatial correlation. In the present analysis, soil organic matter is modeled from satellite image derived spectral color indices. Brightness Index (BI), Coloration Index (CI), Hue Index (HI), Redness Index (RI) and Saturation Index (SI) were calculated by converting DN value to radiance and radiance to reflectance from Thematic Mapper image. Geospatial model was developed by regressing SOM with color indices and producing multiple regression model using stepwise regression technique. The multiple regression equation between SOM and spectral indices was significant with R = 0. 56 at 95% confidence level. The resulting MLR equation was then used for the spatial prediction for the entire study area. Redness Index was found higher significance in estimating the SOM. It was used to predict SOM as auxiliary variables using cokringing spatial interpolation technique. It was tested in seven VDCs of Chitwan district of Nepal using Thematic Mapper remotely sensed data. SOM was found to be measured ranging from 0.15% to 4.75 %, with a mean of 2.24 %. Remotely sensed data derived spectral color indices have the potential as useful auxiliary variables for estimating SOM content to generate soil fertility management plans.

  13. Temporal Synchronization Analysis for Improving Regression Modeling of Fecal Indicator Bacteria Levels

    Multiple linear regression models are often used to predict levels of fecal indicator bacteria (FIB) in recreational swimming waters based on independent variables (IVs) such as meteorologic, hydrodynamic, and water-quality measures. The IVs used for these analyses are traditiona...

  14. Global Convergence of the EM Algorithm for Unconstrained Latent Variable Models with Categorical Indicators

    Weissman, Alexander

    2013-01-01

    Convergence of the expectation-maximization (EM) algorithm to a global optimum of the marginal log likelihood function for unconstrained latent variable models with categorical indicators is presented. The sufficient conditions under which global convergence of the EM algorithm is attainable are provided in an information-theoretic context by…

  15. Rainfall-induced fecal indicator organisms transport from animal waste applied fields: model sensitivity analysis

    The microbial quality of surface waters warrants attention because of associated food- and waterborne-disease outbreaks, and fecal indicator organisms (FIOs) are commonly used to evaluate levels of microbial pollution. Models that predict the fate and transport of FIOs are required for designing and...

  16. A Generalized Model for Electrical Power Distribution Feeders’ Contributions to System Reliability Indices

    Ganiyu A. Ajenikoko

    2014-01-01

    Full Text Available Reliability indices are parametric quantities used to assess the performance levels of electrical power distribution systems. In this work, a generalized quadratic model is developed for electrical power distribution system contributions to system reliability indices using Ikeja, Port-Harcourt, Kaduna and Kano distribution system feeders as case studies. The mean System Average Interruption Duration Index (SAIDI, System Average Interruption Frequency Index (SAIFI and Customer Average Interruption Duration Index (CAIDI contributions to system reliability indices for Ikeja, Port-Harcourt, Kaduna and Kano distribution systems were 0.0033, 0.0026, 0.0033 and 0.0018 respectively due to the fact that a prolonged period of interruptions was recorded on most of the feeders attached to Port-Harcourt and Kano distribution systems making them to be less reliable compared to Ikeja and Kaduna distribution systems. The generalized Quadratic model forms a basis for a good design, planning and maintenance of distribution systems at large.

  17. Economic performance indicators of wind energy based on wind speed stochastic modeling

    Highlights: • We propose a new and different wind energy production indicator. • We compute financial profitability of potential wind power sites. • The wind speed process is modeled as an indexed semi-Markov chain. • We check if the wind energy is a good investment with and without incentives. - Abstract: We propose the computation of different wind energy production indicators and financial profitability of potential wind power sites. The computation is performed by modeling the wind speed process as an indexed semi-Markov chain to predict and simulate the wind speed dynamics. We demonstrate that the indexed semi-Markov chain approach enables reproducing the indicators calculated on real data. Two different time horizons of 15 and 30 years are analyzed. In the first case we consider the government incentives on the energy price now present in Italy, while in the second case the incentives have not been taken into account

  18. Screening for gestational diabetes mellitus by a model based on risk indicators

    Jensen, Dorte Møller; Mølsted-Pedersen, Lars; Beck-Nielsen, Henning;

    2003-01-01

    OBJECTIVE: This study was performed to prospectively evaluate a screening model for gestational diabetes mellitus on the basis of clinical risk indicators. STUDY DESIGN: In a prospective multicenter study with 5235 consecutive pregnant women, diagnostic testing with a 2-hour 75-g oral glucose...... results from tested women to the whole group in question, a 2.4% prevalence of gestational diabetes mellitus was calculated. Sensitivity and specificity of the model was 80.6 (73.7-87.6) and 64.8 (63.5-66.1), respectively (95% CIs). CONCLUSION: Under ideal conditions, sensitivity of the model was...

  19. Short-term Indicator Models for Quarterly GDP Growth in the BRIICS: A Small-scale Bridge Model Approach

    Thomas Chalaux; Cyrille Schwellnus

    2014-01-01

    This paper extends the OECD Economics Department’s suite of short-term indicator models for quarterly GDP growth, which currently cover only the G7 countries, to the BRIICS countries. Reflecting the relative scarcity of high-quality macroeconomic time series, the paper adopts a small-scale bridge model approach. The results suggest that in terms of short-term forecast accuracy for the first and second quarter following the most recent GDP release these models outperform simple autoregressive ...

  20. Using species abundance distribution models and diversity indices for biogeographical analyses

    Fattorini, Simone; Rigal, François; Cardoso, Pedro; Borges, Paulo A. V.

    2016-01-01

    We examine whether Species Abundance Distribution models (SADs) and diversity indices can describe how species colonization status influences species community assembly on oceanic islands. Our hypothesis is that, because of the lack of source-sink dynamics at the archipelago scale, Single Island Endemics (SIEs), i.e. endemic species restricted to only one island, should be represented by few rare species and consequently have abundance patterns that differ from those of more widespread species. To test our hypothesis, we used arthropod data from the Azorean archipelago (North Atlantic). We divided the species into three colonization categories: SIEs, archipelagic endemics (AZEs, present in at least two islands) and native non-endemics (NATs). For each category, we modelled rank-abundance plots using both the geometric series and the Gambin model, a measure of distributional amplitude. We also calculated Shannon entropy and Buzas and Gibson's evenness. We show that the slopes of the regression lines modelling SADs were significantly higher for SIEs, which indicates a relative predominance of a few highly abundant species and a lack of rare species, which also depresses diversity indices. This may be a consequence of two factors: (i) some forest specialist SIEs may be at advantage over other, less adapted species; (ii) the entire populations of SIEs are by definition concentrated on a single island, without possibility for inter-island source-sink dynamics; hence all populations must have a minimum number of individuals to survive natural, often unpredictable, fluctuations. These findings are supported by higher values of the α parameter of the Gambin mode for SIEs. In contrast, AZEs and NATs had lower regression slopes, lower α but higher diversity indices, resulting from their widespread distribution over several islands. We conclude that these differences in the SAD models and diversity indices demonstrate that the study of these metrics is useful for

  1. Comparison of several climate indices as inputs in modelling of the Baltic Sea runoff

    Hanninen, J.; Vuorinen, I. [Turku Univ. (Finland). Archipelaco Research Inst.], e-mail: jari.hanninen@utu.fi

    2012-11-01

    Using Transfer function (TF) models, we have earlier presented a chain of events between changes in the North Atlantic Oscillation (NAO) and their oceanographical and ecological consequences in the Baltic Sea. Here we tested whether other climate indices as inputs would improve TF models, and our understanding of the Baltic Sea ecosystem. Besides NAO, the predictors were the Arctic Oscillation (AO), sea-level air pressures at Iceland (SLP), and wind speeds at Hoburg (Gotland). All indices produced good TF models when the total riverine runoff to the Baltic Sea was used as a modelling basis. AO was not applicable in all study areas, showing a delay of about half a year between climate and runoff events, connected with freezing and melting time of ice and snow in the northern catchment area of the Baltic Sea. NAO appeared to be most useful modelling tool as its area of applicability was the widest of the tested indices, and the time lag between climate and runoff events was the shortest. SLP and Hoburg wind speeds showed largely same results as NAO, but with smaller areal applicability. Thus AO and NAO were both mostly contributing to the general understanding of climate control of runoff events in the Baltic Sea ecosystem. (orig.)

  2. Review and Extension of Suitability Assessment Indicators of Weather Model Output for Analyzing Decentralized Energy Systems

    Hans Schermeyer

    2015-12-01

    Full Text Available Electricity from renewable energy sources (RES-E is gaining more and more influence in traditional energy and electricity markets in Europe and around the world. When modeling RES-E feed-in on a high temporal and spatial resolution, energy systems analysts frequently use data generated by numerical weather models as input since there is no spatial inclusive and comprehensive measurement data available. However, the suitability of such model data depends on the research questions at hand and should be inspected individually. This paper focuses on new methodologies to carry out a performance evaluation of solar irradiation data provided by a numerical weather model when investigating photovoltaic feed-in and effects on the electricity grid. Suitable approaches of time series analysis are researched from literature and applied to both model and measurement data. The findings and limits of these approaches are illustrated and a new set of validation indicators is presented. These novel indicators complement the assessment by measuring relevant key figures in energy systems analysis: e.g., gradients in energy supply, maximum values and volatility. Thus, the results of this paper contribute to the scientific community of energy systems analysts and researchers who aim at modeling RES-E feed-in on a high temporal and spatial resolution using weather model data.

  3. Passive acoustic monitoring of human physiology during activity indicates health and performance of soldiers and firefighters

    Scanlon, Michael V.

    2003-04-01

    The Army Research Laboratory has developed a unique gel-coupled acoustic physiological monitoring sensor that has acoustic impedance properties similar to the skin. This facilitates the transmission of body sounds into the sensor pad, yet significantly repels ambient airborne noises due to an impedance mismatch. The sensor's sensitivity and bandwidth produce excellent signatures for detection and spectral analysis of diverse physiological events. Acoustic signal processing detects heartbeats, breaths, wheezes, coughs, blood pressure, activity, motion, and voice for communication and automatic speech recognition. The health and performance of soldiers, firefighters, and other first responders in strenuous and hazardous environments can be continuously and remotely monitored with body-worn acoustic sensors. Comfortable acoustic sensors can be in a helmet or in a strap around the neck, chest, and wrist. Noise-canceling sensor arrays help remove out-of-phase motion noise and enhance covariant physiology by using two acoustic sensors on the front sides of the neck and two additional acoustic sensors on each wrist. Pulse wave transit time between neck and wrist acoustic sensors will indicate systolic blood pressure. Larger torso-sized arrays can be used to acoustically inspect the lungs and heart, or built into beds for sleep monitoring. Acoustics is an excellent input for sensor fusion.

  4. A Statistical Analysis of Solar Surface Indices Through the Solar Activity Cycles 21-23

    Goker, Umit Deniz; Nutku, Ferhat; Priyal, Muthu

    2016-01-01

    Variations of total solar irradiance (TSI), magnetic field, Ca II K-flux, faculae and plage areas due to the number and the type of sunspots/sunspot groups (SGs) are well established by using ground based data from various centers such as Solar Irradiance Platform, Stanford Data (SFO), Kodaikanal data (KKL) and National Geographical Data Center (NGDC) Homepage, respectively. We applied time series analysis for extracting the data over the descending phases of solar activity cycles (SACs) 21, 22 and 23, and the ascending phases 22 and 23 of SACs, and analyzed the selected data using the Python programming language. Our detailed analysis results suggest that there is a stronger correlation between solar surface indices and the changes in the relative portion of the small and large SGs. This somewhat unexpected finding suggest that plage regions decreased in a lower values in spite of the higher number of large SGs in SAC 23 while Ca II K-flux did not decrease by large amount or it was comparable with SAC 22 for...

  5. Fluconazole Binding and Sterol Demethylation in Three CYP51 Isoforms Indicate Differences in Active Site Topology

    Bellamine, A.; Lepesheva, Galina I.; Waterman, Mike (Vanderbilt)

    2010-11-16

    14{alpha}-Demethylase (CYP51) is a key enzyme in all sterol biosynthetic pathways (animals, fungi, plants, protists, and some bacteria), catalyzing the removal of the C-14 methyl group following cyclization of squalene. Based on mutations found in CYP51 genes from Candida albicans azole-resistant isolates obtained after fluconazole treatment of fungal infections, and using site-directed mutagenesis, we have found that fluconazole binding and substrate metabolism vary among three different CYP51 isoforms: human, fungal, and mycobacterial. In C. albicans, the Y132H mutant from isolates shows no effect on fluconazole binding, whereas the F145L mutant results in a 5-fold increase in its IC{sub 50} for fluconazole, suggesting that F145 (conserved only in fungal 14{alpha}-demethylases) interacts with this azole. In C. albicans, F145L accounts, in part, for the difference in fluconazole sensitivity reported between mammals and fungi, providing a basis for treatment of fungal infections. The C. albicans Y132H and human Y145H CYP51 mutants show essentially no effect on substrate metabolism, but the Mycobacterium tuberculosis F89H CYP51 mutant loses both its substrate binding and metabolism. Because these three residues align in the three isoforms, the results indicate that their active sites contain important structural differences, and further emphasize that fluconazole and substrate binding are uncoupled properties.

  6. In situ hydrogen consumption kinetics as an indicator of subsurface microbial activity

    Harris, S.H.; Smith, R.L.; Suflita, J.M.

    2007-01-01

    There are few methods available for broadly assessing microbial community metabolism directly within a groundwater environment. In this study, hydrogen consumption rates were estimated from in situ injection/withdrawal tests conducted in two geochemically varying, contaminated aquifers as an approach towards developing such a method. The hydrogen consumption first-order rates varied from 0.002 nM h-1 for an uncontaminated, aerobic site to 2.5 nM h-1 for a contaminated site where sulfate reduction was a predominant process. The method could accommodate the over three orders of magnitude range in rates that existed between subsurface sites. In a denitrifying zone, the hydrogen consumption rate (0.02 nM h-1) was immediately abolished in the presence of air or an antibiotic mixture, suggesting that such measurements may also be sensitive to the effects of environmental perturbations on field microbial activities. Comparable laboratory determinations with sediment slurries exhibited hydrogen consumption kinetics that differed substantially from the field estimates. Because anaerobic degradation of organic matter relies on the rapid consumption of hydrogen and subsequent maintenance at low levels, such in situ measures of hydrogen turnover can serve as a key indicator of the functioning of microbial food webs and may be more reliable than laboratory determinations. ?? 2007 Federation of European Microbiological Societies.

  7. Effect of sire on mu- and m-calpain activity and rate of tenderization as indicated by myofibril fragmentation indices of steaks from Brahman cattle.

    Riley, D G; Chase, C C; Pringle, T D; West, R L; Johnson, D D; Olson, T A; Hammond, A C; Coleman, S W

    2003-10-01

    The objectives of this study were to assess the influence of sire on mu- and m-calpain activities, to evaluate the relationships of activities of these enzymes to other traits related to beef palatability, and to assess the influence of sire on the rate of tenderization (as measured by myofibril fragmentation index [MFI]) in Brahman longissimus muscle. Brahman calves (n = 87), sired by nine bulls, were born, weaned, fed, and slaughtered in central Florida. Traits evaluated were mu- and m-calpain activities and MFI after 1, 7, 14, and 21 d of aging. Other traits were analyzed to determine their associations with mu- and m-calpain activity and MFI, including calpastatin activity, percentage of raw and cooked lipids, Warner-Bratzler shear force (WBSF) values after 7, 14, and 21 d of aging, and sensory panel rating of tenderness, juiciness, and connective tissue amount after 14 d of aging. Data were analyzed using a model with sire, sex, year, and slaughter group (calves of the same sex slaughtered on the same date) as fixed effects, and adjusted to a constant adjusted 12th-rib fat thickness. Sire affected mu-calpain activity (P carcass sorting program represents an alternative consideration for tenderization improvement programs. PMID:14552370

  8. An Active Learning Exercise for Introducing Agent-Based Modeling

    Pinder, Jonathan P.

    2013-01-01

    Recent developments in agent-based modeling as a method of systems analysis and optimization indicate that students in business analytics need an introduction to the terminology, concepts, and framework of agent-based modeling. This article presents an active learning exercise for MBA students in business analytics that demonstrates agent-based…

  9. Mathematical and Economic Modeling of the Results of Correlation Between Indicators of Profitability and Asset Management

    Silviu CÂRSTINA

    2015-09-01

    Full Text Available Activity companies, regardless of sector, aims to both keep a favorable position in the market and creating financial resources to respond favorably people interact undertaking. These considerations are actually provided by the existence and sustainability of any business activity. Through this paper we follow not only the level of profitability of businesses related to food industry sector in Dolj, Romania, but also the correlation between the indicators of profitability and management of assets. The period of analysis is given by the range of 2012 - 2013, and of data analysis in terms of economic and mathematical being done using SPSS statistical and mathematical software.

  10. An Integrated Model Based on a Hierarchical Indices System for Monitoring and Evaluating Urban Sustainability

    Xulin Guo

    2013-02-01

    Full Text Available Over 50% of world’s population presently resides in cities, and this number is expected to rise to ~70% by 2050. Increasing urbanization problems including population growth, urban sprawl, land use change, unemployment, and environmental degradation, have markedly impacted urban residents’ Quality of Life (QOL. Therefore, urban sustainability and its measurement have gained increasing attention from administrators, urban planners, and scientific communities throughout the world with respect to improving urban development and human well-being. The widely accepted definition of urban sustainability emphasizes the balancing development of three primary domains (urban economy, society, and environment. This article attempts to improve the aforementioned definition of urban sustainability by incorporating a human well-being dimension. Major problems identified in existing urban sustainability indicator (USI models include a weak integration of potential indicators, poor measurement and quantification, and insufficient spatial-temporal analysis. To tackle these challenges an integrated USI model based on a hierarchical indices system was established for monitoring and evaluating urban sustainability. This model can be performed by quantifying indicators using both traditional statistical approaches and advanced geomatic techniques based on satellite imagery and census data, which aims to provide a theoretical basis for a comprehensive assessment of urban sustainability from a spatial-temporal perspective.

  11. Modeling Recent Subsidence of Mars' Olympus Mons Using Lava Flows as Paleo-Slope Indicators

    Simpson, M.; Reeves, A.; Chadwick, J.; McGovern, P. J.

    2013-12-01

    Olympus Mons is an enormous volcanic edifice on Mars with a basal diameter over 600 km and a height of 23 km. In spite of this size, no indications of subsidence, such as an obvious topographic moat, have previously been detected around the volcano. In this study, we mapped the orientations of long, thin lava flows on the plains to the south and southeast of Olympus Mons using 100m-resolution imagery from the Thermal Emission Imaging System (THEMIS) on Mars Odyssey, and topography using Mars Orbiter Laser Altimeter (MOLA) data from Mars Global Surveyor. The results show that the flows are no longer oriented in a downhill direction, consistently deviating from modern slope vectors in a counterclockwise direction by 21.4 × 10.8 degrees (n = 65). The configuration of this misalignment between modern and paleo-topography is consistent with subsidence centered on the volcano in the time since the flows were emplaced. Our preliminary geophysical modeling used a range of load volumes, load radii, and lithospheric thicknesses to identify the scenario required to best restore modern topography to match the paleo-topography present when the lava flows were emplaced (i.e. 'uplift' Olympus Mons until the lava flows on the surrounding plains are restored to a downhill direction). The results show that lithospheric subsidence of about 1.2 km due to the magmatic addition of 3.8x10^5 km^3 best fits the observed topographic changes. Load center heights of 1 to 8 km were considered, with best fits generally in the 3-5 km range. Best-fit elastic lithosphere thickness (Te) values were generally 100 km or greater, consistent with estimates for Te from loading models [1,2] and gravity-topography relationships [3,4,5]. Our new crater size-density measurements of the plains in the study area show that the observed subsidence occurred within the past 229 × 26 my. Previous crater counts for Olympus Mons calderas and lower flank flows [6] reveal volcanic activity clustered around 100

  12. A quantitative analysis to objectively appraise drought indicators and model drought impacts

    S. Bachmair

    2015-09-01

    . The predictions also provided insights into the EDII, in particular highlighting drought events where missing impact reports reflect a lack of recording rather than true absence of impacts. Overall, the presented quantitative framework proved to be a useful tool for evaluating drought indicators, and to model impact occurrence. In summary, this study demonstrates the information gain for drought monitoring and early warning through impact data collection and analysis, and highlights the important role that quantitative analysis with impacts data can have in providing "ground truth" for drought indicators alongside more traditional stakeholder-led approaches.

  13. A quantitative analysis to objectively appraise drought indicators and model drought impacts

    Bachmair, S.; Svensson, C.; Hannaford, J.; Barker, L. J.; Stahl, K.

    2016-07-01

    coverage. The predictions also provided insights into the EDII, in particular highlighting drought events where missing impact reports may reflect a lack of recording rather than true absence of impacts. Overall, the presented quantitative framework proved to be a useful tool for evaluating drought indicators, and to model impact occurrence. In summary, this study demonstrates the information gain for drought monitoring and early warning through impact data collection and analysis. It highlights the important role that quantitative analysis with impact data can have in providing "ground truth" for drought indicators, alongside more traditional stakeholder-led approaches.

  14. A quantitative analysis to objectively appraise drought indicators and model drought impacts

    Bachmair, S.; Svensson, C.; Hannaford, J.; Barker, L. J.; Stahl, K.

    2015-09-01

    also provided insights into the EDII, in particular highlighting drought events where missing impact reports reflect a lack of recording rather than true absence of impacts. Overall, the presented quantitative framework proved to be a useful tool for evaluating drought indicators, and to model impact occurrence. In summary, this study demonstrates the information gain for drought monitoring and early warning through impact data collection and analysis, and highlights the important role that quantitative analysis with impacts data can have in providing "ground truth" for drought indicators alongside more traditional stakeholder-led approaches.

  15. Establishing an Integration-Energy-Practice Model for Improving Energy Performance Indicators in ISO 50001 Energy Management Systems

    Tsung-Yung Chiu

    2012-12-01

    Full Text Available Global energy sources are gradually becoming scarce and prices are continually rising. Governments and businesses in various countries are actively developing technologies for energy management and developing new sources of energy. On 15 June 2011, the International Organization for Standardization (ISO announced the ISO 50001 standard for energy management systems. Organizations and enterprises are confronted with challenges associated with enhancing energy performance indicators, continuing to improve energy consumption efficiency, and managing third-party international certifications. This study conducted cases studies of businesses that have introduced an ISO 50001 energy management system by using an integration-energy-practice model to improve energy performance indicators and to complete the international auditing and certification procedures for ISO 50001 energy management systems. Based on case study results, the achievement rates for annual energy performance indicators increased, thereby enhancing the energy intensity efficiency. Establishing an integration-energy-practice model for introducing an ISO 50001 energy management system can efficiently meet demands for energy performance indicators and pass the international certification for ISO 50001 energy management systems. The proposed model efficiently provides enterprises with methods for developing sustainable energy management. It integrates internal and external technical resources to establish energy technology think tanks, for promoting successful technology and experiences to various sectors, thereby allowing enterprises to integrate energy management, increase energy efficiency, and meet the ISO 50001 international standard for energy management systems.

  16. Models for the interpretation of CaT and the blue Spectral Indices in Elliptical Nuclei

    M. Molla; Garcia-Vargas, M. L.

    2000-01-01

    We present a grid of theoretical models where the calculation of absorption line spectral indices in both the blue and red wavelength ranges is done with the same evolutionary synthesis code. We have computed some of these indices: CaT, NaI, MgI in the near infrared and Mgb, Mg2, Fe52, Fe53, NaD and Hbeta, in the blue-visible range, for Single Stellar Population (SSP) of 6 different metallicities, (Z=0.0004,0.001, 0.004, 0.008, 0.02 and 0.05), and ages from 4 Myr to 20 Gyr. From the compariso...

  17. Links between circulation indices and precipitation in the Mediterranean in an ensemble of regional climate models

    Beranová, Romana; Kyselý, Jan

    2016-02-01

    Spatial and temporal variability of precipitation in the Mediterranean is related to atmospheric circulation patterns such as the North Atlantic Oscillation (NAO), the Mediterranean Oscillation (MO) and the Western Mediterranean Oscillation (WeMO). This study examines ability of an ensemble of 12 regional climate model (RCM) simulations to reproduce observed links between these circulation indices and precipitation, as well as how these links may change in the late twenty-first century. We focus on the winter season and differences in precipitation amounts on the highest and lowest 25 % of days according to a given index. The relationships are evaluated against the E-OBS data set for 1961-1990. The observed pattern of differences in precipitation between positive and negative phases is generally similar for MO and NAO, which relates to the high correlation between these indices. Most regional climate models (RCMs) simulate links between the circulation indices and precipitation over most of the Mediterranean area reasonably well, especially for the MO and WeMO indices. The RCM with the largest deficiencies in reproducing the links is HadRM for all indices. The spatial patterns of differences in daily precipitation under positive and negative phases of the circulation indices for the future scenario (2070-2099) are similar to those for the control climate for all indices. This suggests that NAO, MO and WeMO are likely to play similar roles in affecting precipitation in the Mediterranean also in the future. However, increased NAO and decreased WeMO index, projected in most examined RCMs for the late twenty-first century in winter, may affect overall precipitation patterns.

  18. Applying a Multiple Group Causal Indicator Modeling Framework to the Reading Comprehension Skills of Third, Seventh, and Tenth Grade Students

    Tighe, Elizabeth L.; Wagner, Richard K.; Schatschneider, Christopher

    2015-01-01

    This study demonstrates the utility of applying a causal indicator modeling framework to investigate important predictors of reading comprehension in third, seventh, and tenth grade students. The results indicated that a 4-factor multiple indicator multiple indicator cause (MIMIC) model of reading comprehension provided adequate fit at each grade…

  19. Activation analysis of hair as an indicator of contamination of man by environmental trace element pollutants

    The burning of fossil fuel, discharges from metallurgical and chemical plants, the wide use of chemicals, and other human activities, result in releasing into the biosphere large quantities of elements which are found in relatively low concentrations in the human organism. The pollution of the biosphere by such trace elements, and in particular heavy metals, has reached such proportions that on the scale of significance of the factors causing the 'stressed' state of the environment of heavy metals occupy the second place and, according to forecasts, may in the future move on to the first. In the problem of pollution of the biosphere, man himself undoubtedly occupies the central position as a target. The pollution of air, soil and water, the contamination of micro-organisms, plants and animals are certainly growing into a serious threat and leading to heavy losses. However, it would be a real disaster if man himself became contaminated to levels giving rise to large scale harmful somatic or genetic effects. It is therefore an urgent problem today to determine the initial levels of trace elements in man and the extent of his contamination in areas where these elements are expected to show anomalous concentrations. Attention should be paid in the first place to those trace elements which probably play no physiological role, are particularly abundant in the environment, and have high toxicity (arsenic, mercury, lead, cadmium, etc.). Moreover, it should be born in mind that in anomalously high concentrations even the physiologically necessary trace elements (copper, zinc, manganese, fluorine, etc.) cause harmful effects. This paper justifies the use of hair samples as a biological indicator of environmental pollutants from physiological and morphological aspect and recommends on sample preparation and analysis methods

  20. A growth-rate indicator for Compton-thick active galactic nuclei

    Brightman, M; Ballantyne, D R; Baloković, M; Brandt, W N; Chen, C -T; Comastri, A; Farrah, D; Gandhi, P; Harrison, F A; Ricci, C; Stern, D; Walton, D J

    2016-01-01

    Due to their heavily obscured central engines, the growth rate of Compton-thick (CT) active galactic nuclei (AGN) is difficult to measure. A statistically significant correlation between the Eddington ratio, {\\lambda}$_{Edd}$, and the X-ray power-law index, {\\Gamma}, observed in unobscured AGN offers an estimate of their growth rate from X-ray spectroscopy (albeit with large scatter). However, since X-rays undergo reprocessing by Compton scattering and photoelectric absorption when the line-of-sight to the central engine is heavily obscured, the recovery of the intrinsic {\\Gamma} is challenging. Here we study a sample of local, predominantly Compton-thick megamaser AGN, where the black hole mass, and thus Eddington luminosity, are well known. We compile results on X-ray spectral fitting of these sources with sensitive high-energy (E> 10 keV) NuSTAR data, where X-ray torus models which take into account the reprocessing effects have been used to recover the intrinsic {\\Gamma} values and X-ray luminosities, L$_...

  1. Forecast daily indices of solar activity, F10.7, using support vector regression method

    The 10.7 cm solar radio flux (F10.7), the value of the solar radio emission flux density at a wavelength of 10.7 cm, is a useful index of solar activity as a proxy for solar extreme ultraviolet radiation. It is meaningful and important to predict F10.7 values accurately for both long-term (months-years) and short-term (days) forecasting, which are often used as inputs in space weather models. This study applies a novel neural network technique, support vector regression (SVR), to forecasting daily values of F10.7. The aim of this study is to examine the feasibility of SVR in short-term F10.7 forecasting. The approach, based on SVR, reduces the dimension of feature space in the training process by using a kernel-based learning algorithm. Thus, the complexity of the calculation becomes lower and a small amount of training data will be sufficient. The time series of F10.7 from 2002 to 2006 are employed as the data sets. The performance of the approach is estimated by calculating the norm mean square error and mean absolute percentage error. It is shown that our approach can perform well by using fewer training data points than the traditional neural network. (research paper)

  2. Global patterns in ecological indicators of marine food webs: a modelling approach.

    Johanna Jacomina Heymans

    Full Text Available BACKGROUND: Ecological attributes estimated from food web models have the potential to be indicators of good environmental status given their capabilities to describe redundancy, food web changes, and sensitivity to fishing. They can be used as a baseline to show how they might be modified in the future with human impacts such as climate change, acidification, eutrophication, or overfishing. METHODOLOGY: In this study ecological network analysis indicators of 105 marine food web models were tested for variation with traits such as ecosystem type, latitude, ocean basin, depth, size, time period, and exploitation state, whilst also considering structural properties of the models such as number of linkages, number of living functional groups or total number of functional groups as covariate factors. PRINCIPAL FINDINGS: Eight indicators were robust to model construction: relative ascendency; relative overhead; redundancy; total systems throughput (TST; primary production/TST; consumption/TST; export/TST; and total biomass of the community. Large-scale differences were seen in the ecosystems of the Atlantic and Pacific Oceans, with the Western Atlantic being more complex with an increased ability to mitigate impacts, while the Eastern Atlantic showed lower internal complexity. In addition, the Eastern Pacific was less organised than the Eastern Atlantic although both of these systems had increased primary production as eastern boundary current systems. Differences by ecosystem type highlighted coral reefs as having the largest energy flow and total biomass per unit of surface, while lagoons, estuaries, and bays had lower transfer efficiencies and higher recycling. These differences prevailed over time, although some traits changed with fishing intensity. Keystone groups were mainly higher trophic level species with mostly top-down effects, while structural/dominant groups were mainly lower trophic level groups (benthic primary producers such as

  3. Analytic network process model for sustainable lean and green manufacturing performance indicator

    Aminuddin, Adam Shariff Adli; Nawawi, Mohd Kamal Mohd; Mohamed, Nik Mohd Zuki Nik

    2014-09-01

    Sustainable manufacturing is regarded as the most complex manufacturing paradigm to date as it holds the widest scope of requirements. In addition, its three major pillars of economic, environment and society though distinct, have some overlapping among each of its elements. Even though the concept of sustainability is not new, the development of the performance indicator still needs a lot of improvement due to its multifaceted nature, which requires integrated approach to solve the problem. This paper proposed the best combination of criteria en route a robust sustainable manufacturing performance indicator formation via Analytic Network Process (ANP). The integrated lean, green and sustainable ANP model can be used to comprehend the complex decision system of the sustainability assessment. The finding shows that green manufacturing is more sustainable than lean manufacturing. It also illustrates that procurement practice is the most important criteria in the sustainable manufacturing performance indicator.

  4. Hydrodynamic evaluation of a hydraulic clarifier through hydraulic behaviour indicators and simplified flow models

    Paola Patiño

    2012-04-01

    Full Text Available Hydrodynamic phenomena take place within water treatment plants associated with physical, operational and environmental factors which can affect the water quality. This study evaluated a hydraulic clarifier’s hydrodynamic pattern using sludge recirculation through continuous tracer test leading to determining hydraulic behaviour indicators and simplified flow models. The clarifier had dual flow with a predominantly complete mixture during the hours in which higher temperatures were reported for affluent water compared to those reported inside the reactor, causing the formation of density currents promoting mixing in the reactor and increased turbidity in the effluent. The hydraulic indicators and the Wolf-Resnick model had higher sensitivity to the influence of temperature on reactor hydrodynamics.

  5. Stellar population models of Lick indices with variable element abundance ratios

    Thomas, D; Bender, R; Thomas, Daniel; Maraston, Claudia

    2003-01-01

    We provide the whole set of Lick indices from CN1 to TiO2 of Simple Stellar Population models with, for the first time, variable element abundance ratios, [alpha/Fe]=0.0, 0.3, 0.5, [alpha/Ca]=-0.1, 0.0, 0.2, 0.5, and [alpha/N]=-0.5, 0.0. The models cover ages between 1 and 15 Gyr, metallicities between 1/200 and 3.5 solar. Our models are free from the intrinsic alpha/Fe bias that was imposed by the Milky Way template stars up to now, hence they reflect well-defined alpha/Fe ratios at all metallicities. The models are calibrated with Milky Way globular clusters for which metallicities and alpha/Fe ratios are known from independent spectroscopy of individual stars. The metallicities that we derive from the Lick indices Mgb and Fe5270 are in excellent agreement with the metallicity scale by Zinn & West (1984), and we show that the latter provides total metallicity rather than iron abundance. We can reproduce the relatively strong CN-absorption features CN1 and CN2 of galactic globular clusters with models in...

  6. A multiple indicators multiple causes model of late-life depression in Latin American countries

    Brailean, Anamaria; Guerra, Mariella; Chua, Kia-Chong; Prince, Martin; Prina, Matthew A

    2015-01-01

    BACKGROUND: The Euro-D depression scale consists of symptom clusters that may be differentially related to demographic and cognitive characteristics in older adults. This hypothesis needs further investigation and the role of measurement bias on substantive conclusions remains to be established.METHOD: The study sample comprised 10,405 community-dwelling older adults from six Latin American countries. We applied a Multiple Indicators Multiple Causes (MIMIC) model for a concurrent investigatio...

  7. Hydrodynamic evaluation of a hydraulic clarifier through hydraulic behaviour indicators and simplified flow models

    Paola Patiño; Camilo Cruz; Patricia Torres; Santiago Laín

    2012-01-01

    Hydrodynamic phenomena take place within water treatment plants associated with physical, operational and environmental factors which can affect the water quality. This study evaluated a hydraulic clarifier’s hydrodynamic pattern using sludge recirculation through continuous tracer test leading to determining hydraulic behaviour indicators and simplified flow models. The clarifier had dual flow with a predominantly complete mixture during the hours in which higher temperatures were reported f...

  8. Integration of vegetation indices into a water balance model to estimate evapotranspiration of wheat and corn

    F. L. M. Padilla; M. P. González-Dugo; P. Gavilán; J. Domínguez

    2011-01-01

    Vegetation indices (VIs) have been traditionally used for quantitative monitoring of vegetation. Remotely sensed radiometric measurements of visible and infrared solar energy, which is reflected or emitted by plant canopies, can be used to obtain rapid, non-destructive estimates of certain canopy attributes and parameters. One parameter of special interest for water management applications, is the crop coefficient employed by the FAO-56 model to derive actual crop evapotranspiration (ET). The...

  9. Integration of vegetation indices into a water balance model to estimate evapotranspiration of wheat and corn

    F. L. M. Padilla; M. P. González-Dugo; Gavilán, P.; Domínguez, J.

    2010-01-01

    Vegetation indices (VIs) have been traditionally used for quantitative monitoring of vegetation. Remotely sensed radiometric measurements of visible and infrared solar energy, which is reflected or emitted by plant canopies, can be used to obtain rapid, non-destructive estimates of certain canopy attributes and parameters. One parameter of special interest for water management applications, is the crop coefficient employed by the FAO-56 model to derive actual crop evapotranspiration (ET). The...

  10. Integration of vegetation indices into a water balance model to estimate evapotranspiration of wheat and corn

    F. L. M. Padilla; M. P. González-Dugo; Gavilán, P.; Domínguez, J.

    2011-01-01

    Vegetation indices (VIs) have been traditionally used for quantitative monitoring of vegetation. Remotely sensed radiometric measurements of visible and infrared solar energy, which is reflected or emitted by plant canopies, can be used to obtain rapid, non-destructive estimates of certain canopy attributes and parameters. One parameter of special interest for water management applications, is the crop coefficient employed by the FAO-56 model to derive actual crop evapotrans...

  11. Indication of the suitable model of a mechatronic system as an introduction to the synthesis task

    M. Płaczek

    2011-12-01

    Full Text Available Purpose: The identification of the optimal mathematical model that meets the assumed criteria is the main purpose of this paper, which is an introduction to the task of synthesis of one-dimensional vibrating mechatronic systems. Assumed criteria are to provide the accurate analysis of the system together with maximum simplification of used mathematical tools and minimize required amount of time. The correct description of a given system by its model during the design phase is a fundamental condition for proper operation of it. Therefore, the processes of modelling, testing and verification of used models were presented. On the basis of carry out analysis the optimal (in case of assumed criteria model was selected and it will be used to realize the task of synthesis in future works.Design/methodology/approach: A series of mathematical models with different simplifying assumptions was created. Using the created models and corrected approximate Galerkin method the dynamic characteristic of the considered system was designated. The analysis of an influence of parameters of the system’s components on obtained characteristic was conducted. The approximate method was verified to check its accuracy and decide if it can be used to analyse such kind of mechatronic systems.Findings: The main result of the work is an indication of the suitable mathematical model of the considered system.Research limitations/implications: Influence of temperature changes on the transducer’s properties was neglected in developed mathematical models. It will be considered in the future works.Practical implications: Presented method of mechatronic system’s analysis can be use in process of designing of technical devices where both, simply and reverse piezoelectric effects can be used.Originality/value: Development of the mathematical models in which the considered system is modelled as a combined beam.

  12. Correlation and Interaction Visualization of Altmetric Indicators Extracted From Scholarly Social Network Activities: Dimensions and Structure

    Liu, Chun Li; Xu, Yue Quan; Wu, Hui; Chen, Si Si; Guo, Ji Jun

    2013-01-01

    Background Citation counts for peer-reviewed articles and the impact factor of journals have long been indicators of article importance or quality. In the Web 2.0 era, growing numbers of scholars are using scholarly social network tools to communicate scientific ideas with colleagues, thereby making traditional indicators less sufficient, immediate, and comprehensive. In these new situations, the altmetric indicators offer alternative measures that reflect the multidimensional nature of schol...

  13. Objective assessment and modification of physical activity and health indices in adolescent females

    2010-01-01

    non-peer-reviewed The following literature review describes the benefits of being physically active in childhood and adulthood and also the dangers that accompany inactivity. The benefits of being physically activity as a young person can affect future health and future physical activity levels and this link will be considered as a rationale for promoting physical activity in adolescence. The negative consequences of obesity in childhood and adulthood are also considered. The relationship ...

  14. Modeling Students' Units Coordinating Activity

    Boyce, Steven James

    2014-01-01

    Primarily via constructivist teaching experiment methodology, units coordination (Steffe, 1992) has emerged as a useful construct for modeling students' psychological constructions pertaining to several mathematical domains, including counting sequences, whole number multiplicative conceptions, and fractions schemes. I describe how consideration of units coordination as a Piagetian (1970b) structure is useful for modeling units coordination across contexts. In this study, I extend teaching ...

  15. Modeling Workflow Using UML Activity Diagram

    Wei Yinxing(韦银星); Zhang Shensheng

    2004-01-01

    An enterprise can improve its adaptability in the changing market by means of workflow technologies. In the build time, the main function of Workflow Management System (WFMS) is to model business process. Workflow model is an abstract representation of the real-world business process. The Unified Modeling Language (UML) activity diagram is an important visual process modeling language proposed by the Object Management Group (OMG). The novelty of this paper is representing workflow model by means of UML activity diagram. A translation from UML activity diagram to π-calculus is established. Using π-calculus, the deadlock property of workflow is analyzed.

  16. Meteor-Shower on Mars Indicates Cometary Activity Far Away From the Sun

    Sekhar, Aswin; ASHER, DAVID

    2015-08-01

    Introduction: The close encounter of Comet C/2013 A1 (Siding Spring) with Mars on 2014 Oct 19 at 1830h (UT) generated a lot of interest and modelling work [1] [2] [3] in the solar system community. A recent (on 2014 Nov 7) press release from NASA implied that a meteor shower was detected on Mars by their space instruments some hours after the comet-Mars close encounter. Various work [4] [5] [6] has suggested that very specific meteoroid sizes and ejection conditions may be required to produce meteor phenomena at Mars at the given times.Stream dynamics: Meteoroid stream modelling and their orbital geometry calculations have gained high precision over the years. In this work, we compute in detail the structure of the cloud of meteoroids released by C/2013 A1, showing its dependence on heliocentric ejection distances, 3-dimensional ejection velocities, and particle sizes. Our calculations using numerical integrator MERCURY, [7], incorporating radiation pressure, [8], show that ejection of particles at large heliocentric distances (about 7 au to 13 au) from C/2013 A1 could lead to evolution of a dense meteoroid cloud which intersects Mars a few hours after the comet-Mars close encounter. Hence this detection of a meteor shower on Mars by space instruments is an indirect confirmation of cometary activity at large distances which has rarely been observed directly by telescopes so far. Furthermore it shows that comprehensive threat estimation needs to be done for satellites orbiting the Earth when dynamically new comets come very close to the Earth in future.References:[1] Vaubaillon J., Macquet L., Soja R. 2014. MNRAS. 439: 3294.[2] Moorhead A. V., Wiegert P. A., Cooke W. J. 2014. Icarus. 231:13.[3] Ye Q.-Z., Hui M.-T., 2014, ApJ, 787: 115.[4] Farnocchia D. et al. 2014. ApJL. 790: 114.[5] Kelley M. S. P. et al. 2014, ApJL, 792: 16.[6] Tricarico P. et al., 2014, ApJL, 787: 35.[7] Chambers J. E. 1999. MNRAS. 304: 793.[8] Burns J. A, Lamy P. L., Soter S. 1979. Icarus. 40: 1.

  17. Modeling Drought Impact Occurrence Based on Climatological Drought Indices for Europe

    Stagge, J. H.; Kohn, I.; Tallaksen, L. M.; Stahl, K.

    2014-12-01

    ) and seasonal (6-12 month) anomalies. A mean of 47.0% (22.4-71.6%) impact deviance is explained by the resulting models, highlighting the feasibility of using such statistical techniques and drought impact databases to model drought impact likelihood based on relatively easily calculated meteorological drought indices.

  18. Studies of seaweeds as indicators of toxic element pollution in Ghana using neutron activation analysis

    The concentrations of 25 elements namely: AI, As, Br, Ca, Cd, CI, Co, Cr, Cu, Fe, Hf, Hg, I, K, La, Mg, Mn, Na, Ni, Sb, Sc, Sm, Sr, V and Zn in seven Rhodophyta (red), three Phaeophyta (brown) and five Chlorophyta (green) seaweed species from different areas along the coast of Ghana were determined by instrumental neutron activation analysis (INAA) and preconcentration NAA (PNAA). These species potentially could be used as biomonitors and bioremoval agents. The irradiations using thermal and epithermal neutrons were done using the Ghana Research Reactor-I (GHARR-I) facility at Ghana Atomic Energy Commission, Kwabenya and the Dalhousie University SLOWPOKE-2 Reactor (DUSR) facilities. Counting was done using both the conventional and anti-coincidence γ ray spectrometry. The PNAA method was developed for the simultaneous extraction of Cd, Cr, Hg, and Zn, as well as Sb and V individually from the seaweed samples. The PNAA method involved the use of a mixture of PAN and TAN chelating agents and PONPE-20 surfactant in cloud point extraction (CPE). The parameters affecting the CPE have been optimized. The recoveries under the optimum conditions of pH 3.7 for V, 6.4 for Sb, 8.6 for Cd, Cr, Hg, and Zn, [PAN/TAN] of 1x10-4M, [PONPE-20] of 0.1% (m/v), ionic strength 0.05 M KN03, and a temperature of 410C were generally >96%. The mean detection limits for Cd, Cr, Hg, Sb, V and Zn were 6.0, 3.6, 1.2, 2.8, 1.51 and 2.6 ng/g respectively. The CPE method developed was also used successfully to speciate As(III) and As(V) from the Sargassum vulgare, the seaweed. The maximum extraction of As(III) occurred at a pH of 6.7 and that of As(V) at pH of 3.8. The results indicated that As(III) and As(V) formed only 6.27% of the total arsenic concentration, while the other species of arsenic constitute 93.73%. The precision and accuracy of the INAA and PNAA methods developed were evaluated. Schewart control charts were constructed for internal quality assessment purposes. The results were

  19. Comparative analysis of fuzzy model and numerical model for indicators in monitoring and strategic planning of nuclear power plants

    The use of performance and safety indicators in the monitoring of nuclear power plants is a reality. Recently, after the publication of the General Guide of Indicators by International Agency of Atomic Energy (IAEA), which suggests actions, conditions and procedures in order to reach the safety requirements, as well as to assure a high performance rate, new works are being done based on this philosophy. In a previous work, an intelligent system (Fuzzy Model) was developed, which would be able to infer about a generic structure of indicators, in order to establish the representative status of the nuclear power plant Angra 2. In this work a new implementation was developed, an intelligent system (Numerical Model), which would be able to infer about the same generic structure of indicators, with the same objective, the determination of status of the Angra 2. The objective of this work is a comparison between the results gotten by the Numerical Model and the Fuzzy Model, emphasizing the advantages and disadvantages of each implementation aiming to improve the performance of this tool of monitoring, analysis and management. (author)

  20. Valuing Patents with Linear Regression : Identifying value indicators and using a linear regression model to value  patents

    Al-Khalaf, Adnan; Gustafsson, Steve Oskar

    2015-01-01

    This thesis consist of two parts. The first part of the thesis will conduct a multiple regression on a data-set obtained from the Ocean Tomo’s auction results between 2006 to 2008 with the purpose to identify key value indicators and investigate to what extent it is possible to predict the value of a patent. The final regression model consist of the following covariates Average number of citings per year, share of active family members, age of the patent, average invested USD per year, and ni...

  1. A hidden Markov model combined with climate indices for multidecadal streamflow simulation

    Bracken, C.; Rajagopalan, B.; Zagona, E.

    2014-10-01

    Hydroclimate time series often exhibit very low year-to-year autocorrelation while showing prolonged wet and dry epochs reminiscent of regime-shifting behavior. Traditional stochastic time series models cannot capture the regime-shifting features thereby misrepresenting the risk of prolonged wet and dry periods, consequently impacting management and planning efforts. Upper Colorado River Basin (UCRB) annual flow series highlights this clearly. To address this, a simulation framework is developed using a hidden Markov (HM) model in combination with large-scale climate indices that drive multidecadal variability. We demonstrate this on the UCRB flows and show that the simulations are able to capture the regime features by reproducing the multidecadal spectral features present in the data where a basic HM model without climate information cannot.

  2. Using globally available soil moisture indicators for flood modelling in Mediterranean catchments

    C. Massari

    2013-08-01

    Full Text Available Floods are one of the most dangerous natural hazards in Mediterranean regions. Flood forecasting tools and early warning systems can be very beneficial to reduce flood risk. Event-based rainfall runoff models are frequently employed for operational flood forecasting purposes because of their simplicity and the reduced number of parameters involved with respect to continuous models. However, the advantages that are related with the reduced parameterization face against the need for a correct initialization of the model, especially in areas affected by strong climate seasonality. On the other hand, the use of continuous models may be very problematic in poorly gauged areas. This paper introduces a simplified continuous rainfall-runoff model, which uses globally available soil moisture retrievals to identify the initial wetness condition of the catchment, and, only event rainfall data to simulate discharge hydrographs. The model calibration involves only 3 parameters. For soil moisture, beside in situ and modelled data, satellite products from the Advanced SCATterometer (ASCAT and the Advanced Microwave Scanning Radiometer for Earth observation (AMSR-E sensors are employed. Additionally, the ERA-LAND reanalysis soil moisture product of the European Centre for Medium Range Weather Forecasting (ECMWF is used. The model was tested in the small catchment of Rafina, 109 km2 located in the Eastern Attica region, Greece. Specifically, fifteen rainfall-runoff events were modelled by considering different configurations for the initial soil moisture conditions. Comparing the performance of the different soil moisture products, it was found that all global indicators allow reproducing fairly well the selected flood events providing much better results than the situation where a constant initial condition is provided. ERA-LAND slightly outperforms the satellite soil moisture products and in general, all the indicators give the same performance obtained by

  3. Partial least squares for efficient models of fecal indicator bacteria on Great Lakes beaches

    Brooks, Wesley R.; Fienen, Michael J.; Corsi, Steven R.

    2013-01-01

    At public beaches, it is now common to mitigate the impact of water-borne pathogens by posting a swimmer's advisory when the concentration of fecal indicator bacteria (FIB) exceeds an action threshold. Since culturing the bacteria delays public notification when dangerous conditions exist, regression models are sometimes used to predict the FIB concentration based on readily-available environmental measurements. It is hard to know which environmental parameters are relevant to predicting FIB concentration, and the parameters are usually correlated, which can hurt the predictive power of a regression model. Here the method of partial least squares (PLS) is introduced to automate the regression modeling process. Model selection is reduced to the process of setting a tuning parameter to control the decision threshold that separates predicted exceedances of the standard from predicted non-exceedances. The method is validated by application to four Great Lakes beaches during the summer of 2010. Performance of the PLS models compares favorably to that of the existing state-of-the-art regression models at these four sites.

  4. Useful model organisms, indicators, or both? Ground beetles (Coleoptera, Carabidae reflecting environmental conditions

    Matti Koivula

    2011-05-01

    Full Text Available Classic studies have successfully linked single-species abundances, life-history traits, assemblage structures and biomass of carabid beetles to past and present, human-caused environmental impacts and variation in ‘natural’ conditions. This evidence has led many to suggest carabids to function as ‘indicators’ − a term that bears multiple meanings. Here, a conservation-oriented definition for an indicator is used, carabid indicator potential from seven views is evaluated, and ways to proceed in indicator research are discussed. (1 Carabid species richness poorly indicates the richness and abundance of other taxa, which underlines the importance of using multiple taxa in environmental assessments. The ability of assemblage indices and specialist or functional-group abundances to reflect rare species and habitats should be examined in detail. (2 Experimental evidence suggests that carabids may potentially serve as keystone indicators. (3 Carabids are sensitive to human-altered abiotic conditions, such as pesticide use in agro-ecosystems and heavy metal contamination of soils. Carabids might thus reflect ecological sustainability and ‘ecosystem health’. (4 Carabid assemblages host abundant species characteristic of particular habitat types or successional stages, which makes them promising dominance indicators. (5 Carabids reflect variation in ‘natural’ conditions, but vegetation and structural features are more commonly adopted as condition indicators. Carabids nevertheless provide yet another, equally accurate, view on the structure of the environment. (6 Carabids may function as early-warning signalers, as suggested by recent studies linking climate and carabid distributions. (7 Carabids reflect natural and human-caused disturbances and management, but the usefulness of these responses for conservation purposes requires further research. In summary, European carabids appear useful model organisms and possibly indicators because

  5. Indicators of competitive activity of the oarswomen on kayaks at the Olympic distance.

    Chychkan O.A.; Chehonyuk O.

    2010-01-01

    The frame of competitive activity of sportsmen on kayaks different sports qualification on a distance of 500 meters is construed. 20 sportsmen of different sports qualification have been inspected. During competitions were fixed: number paddle boat and a road clearance time of a distance. It is exhibited variances in a level of competitive activity. Competitive activity expediently to value on parameters of a road clearance time of a distance, an amount paddle boat on a distance, roads of a b...

  6. Indications of low macrobenthic activity in the deep sediments of the Eastern Mediterranean Sea

    Basso, D; Thomson, J; C. Corselli

    2004-01-01

    The fluxes and budget of organic matter from the oligotrophic surface waters of the eastern Mediterranean to the deep waters are poorly known, and little information is available on past and present macrobenthic activity on the sea floor. Evidence of macrobenthic activity can be direct, through recovery of living organisms or their autochthonous skeletal remains, or indirect, through bioturbation and trace fossils. The evidence of biological activity in deep eastern Mediterranean sediments ha...

  7. Multiple Episodes of Recent Gully Activity Indicated by Gully Fan Stratigraphy in Eastern Promethei Terra, Mars.

    Schon, S.; Head, J.; Fassett, C.

    2008-09-01

    outer crater (0.121 compared to 0.073), consistent with young Martian craters [17]. Both the outer and inner craters have classically-defined gullies, preferentially developed on their pole-facing walls. Polygons are observed in gully alcoves of the outer crater, but not in alcoves of the inner crater, implying a difference in substrate or thermal cycling time [18]. The outer crater is floored by ejecta from the inner crater and mantling deposits. There is no evidence of an underlying concentric crater fill deposit or other altered fill unit typical of older Amazonian altered craters [19]. The inner crater is floored by unconsolidated sediment and contains a small collection of dunes. No evidence of pits, hummocky texture or other sublimation features are observed indicating that the crater interior is not a periglacial terrain. We interpret the inner crater as younger than the most recent episode of mantling deposition (~0.4Ma) [20] due to the exposed spur and talus slope development on the equator-facing wall, a slope and orientation that preferentially preserves smooth mantle texture in this latitude regime [21]. One superposed crater (~45 mdiameter) is observed in HiRISE coverage. Using the technique of Hartmann and Quantin-Nataf [22], who dated Gratteri crater by counting small craters superposed on the floor, the inner crater is on the order of 100Ka. Based upon these observations and the relative proximity of secondary craters to the outer crater rim (making it unlikely they originated from the outer crater), the 7 km-diameter inner crater is the likely source of the rays and secondary craters of interest on the gully fan lobe. Acknowledgments: Special thanks to the Mars Recognisance Orbiter and HiRISE teams as well as the Odyssey and THEMIS teams. This research was funded by NASA. Conclusions This study has identified a gully system fan in Eastern Promethei Terra with morphology requiring multiple periods of activity for its construction. At least one lobe of

  8. On the use of ionospheric scintillation indices as input to receiver tracking models

    Aquino, Marcio; Andreotti, Marcus; Dodson, Alan; Strangeways, Hal

    Ionospheric scintillation has its highest occurrence in equatorial and auroral regions (including northerly parts of Europe), and in the polar caps. Several research groups, including the Institute of Engineering Surveying and Space Geodesy (IESSG), at the University of Nottingham and the Insitute of Integrated Information Systems (I3S), at the University of Leeds, have been involved with ionospheric scintillation research and its impact on users of Global Navigation Satellite Systems (GNSS). Such effects may be severe, from degradation of measurement accuracy to complete loss of lock on the satellite signal. The main motivation of this paper is to exploit further a comprehensive archive of scintillation data gathered by the IESSG during the last high of the solar cycle, in order to assess the probability of GNSS receiver tracking failures occurring due to ionospheric scintillation. This archive contains GPS ionospheric scintillation data gathered simultaneously with four GSV4004 receivers (GPS Silicon Valley) in the UK and Norway, between June 2001 and December 2003, at geographic latitudes varying from 53 °N to 71 °N. However, the scintillation data that forms this archive is given by the indices S4 and σϕ (in particular the latter's 60 s version, herein termed Phi60), which are only average values measured at the input of the receiver Phase Locked Loop (PLL). As such they do not provide sufficient information regarding the instantaneous values of phase and amplitude fluctuations that will affect the GNSS receiver performance. Although these indices can give an indication of forthcoming problems, receiver tracking models must also be considered in order to accurately model the influence of scintillation on receiver performance and on positioning accuracy. It is the tracking error at the output of the PLL that determines the accuracy of the range measurements which the receiver uses to compute position. This paper presents a strategy devised to enable the

  9. Modeling of active beam units with Modelica

    Maccarini, Alessandro; Hultmark, Göran; Vorre, Anders; Afshari, Alireza; Bergsøe, Niels Christian

    2015-01-01

    This paper proposes an active beam model suitable for building energy simulations with the programming language Modelica. The model encapsulates empirical equations derived by a novel active beam terminal unit that operates with low-temperature heating and high-temperature cooling systems...

  10. Discursive Positionings and Emotions in Modelling Activities

    Daher, Wajeeh

    2015-01-01

    Mathematical modelling is suggested as an activity through which students engage in meaningful mathematics. In the current research, the modelling activity of a group of four seventh-grade students was analysed using the discursive analysis framework. The research findings show that the positionings and emotions of the group members during their…

  11. AA Geomagnetic Activity Indices From Two Antipodal Observatories in Australia and England

    National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA National Centers for Environmental Information (formerly National Geophysical Data Center) receives, on a monthly basis, indices that are based on the data...

  12. Threat Modelling for Active Directory

    Chadwick, David W

    2004-01-01

    This paper analyses the security threats that can arise against an Active Directory server when it is included in a Web application. The approach is based on the STRIDE classification methodology. The paper also provides outline descriptions of countermeasures that can be deployed to protect against the different threats and vulnerabilities identified here.

  13. INNOVATIVENESS IN INDUSTRIAL DISTRICTS OF TURKEY AND INDICATORS OF INNOVATION ACTIVITIES IN SMEs

    ARMATLI-KÖROĞLU, Bilge

    2010-01-01

    ABSTRACTIn recent years “innovation” become an important concept of regional development literature. In many regional development studies, innovation concept and indicators of innovation are defined as regards to regional economic and industrial characteristics and technological level of region. In the context of the paper innovation indicators and relationship between firm networks and innovation capacity are researched in industrial nodes of Turkey. Paper depends on data of fiel...

  14. Statistical relationships between the surface air temperature anomalies and the solar and geomagnetic activity indices

    Valev, Dimitar

    2010-01-01

    Statistical analysis of the data series from 1856 to 2000 for the annual global and hemispheric surface air temperature anomalies is completed. Statistically significant correlations are found between global and hemispheric temperature anomalies and solar and geomagnetic indices. The temperature anomalies in the Northern and Southern hemispheres show similar statistical relations with the solar and geomagnetic indices. The cross-correlation analysis shows no statistically significant global t...

  15. Fish as indicators of disturbance in streams used for snorkeling activities in a tourist region.

    Teresa, Fabricio Barreto; Romero, Renato de Mei; Casatti, Lilian; Sabino, José

    2011-05-01

    A set of metrics that reflect various aspects of population and fish community structure in streams used for snorkeling was evaluated in the tourist region of Bodoquena Plateau, Brazil, with the purpose of biomonitoring the impacts of such activities. Observations were made while snorkeling in two sites (active = with tourism; inactive = without tourism) and along the gradient of daily tourist activity (before, during and after the passage of tourists) in two streams. Five metrics discriminated active from inactive sites: (i) the abundance of Crenicichla lepidota and (ii) the incidence of reproductive activity in Crenicichla lepidota which were greater in inactive sites, regardless the gradient of daily tourist activity; (iii) the feeding pattern of Prochilodus lineatus, which differed among sites and along the gradient of daily tourist activity; (iv) the abundance of Moenkhausia bonita, which was higher in the active sites and significantly increased along the gradient of daily tourist activity in one stream but decrease along the gradient in other stream; (v) the abundance of Hyphessobrycon eques, which was greater in inactive sites, regardless the gradient of daily tourist activity. With the exception of metric "iv", the metrics were mediated by the reduction in habitat structural complexity due to snorkeling disturbance. The definition of these metrics is relevant because the degradation of ecosystem structural elements is one of the main impacts of recreational activities on aquatic environments. The easy recognition of target species and high water transparency throughout the year ensures the feasibility of these metrics in monitoring programs and may be applied by technicians after quick guides and training. PMID:21359866

  16. Fish as Indicators of Disturbance in Streams Used for Snorkeling Activities in a Tourist Region

    Teresa, Fabricio Barreto; Romero, Renato De Mei; Casatti, Lilian; Sabino, José

    2011-05-01

    A set of metrics that reflect various aspects of population and fish community structure in streams used for snorkeling was evaluated in the tourist region of Bodoquena Plateau, Brazil, with the purpose of biomonitoring the impacts of such activities. Observations were made while snorkeling in two sites (active = with tourism; inactive = without tourism) and along the gradient of daily tourist activity (before, during and after the passage of tourists) in two streams. Five metrics discriminated active from inactive sites: (i) the abundance of Crenicichla lepidota and (ii) the incidence of reproductive activity in Crenicichla lepidota which were greater in inactive sites, regardless the gradient of daily tourist activity; (iii) the feeding pattern of Prochilodus lineatus, which differed among sites and along the gradient of daily tourist activity; (iv) the abundance of Moenkhausia bonita, which was higher in the active sites and significantly increased along the gradient of daily tourist activity in one stream but decrease along the gradient in other stream; (v) the abundance of Hyphessobrycon eques, which was greater in inactive sites, regardless the gradient of daily tourist activity. With the exception of metric "iv", the metrics were mediated by the reduction in habitat structural complexity due to snorkeling disturbance. The definition of these metrics is relevant because the degradation of ecosystem structural elements is one of the main impacts of recreational activities on aquatic environments. The easy recognition of target species and high water transparency throughout the year ensures the feasibility of these metrics in monitoring programs and may be applied by technicians after quick guides and training.

  17. Students’ mathematical learning in modelling activities

    Kjeldsen, Tinne Hoff; Blomhøj, Morten

    2013-01-01

    involved. We argue that progress in students’ conceptual learning needs to be conceptualised separately from that of progress in their modelling competency. Findings are that modelling activities open a window to the students’ images of the mathematical concepts involved; that modelling activities can......Ten years of experience with analyses of students’ learning in a modelling course for first year university students, led us to see modelling as a didactical activity with the dual goal of developing students’ modelling competency and enhancing their conceptual learning of mathematical concepts...... create and help overcome hidden cognitive conflicts in students’ understanding; that reflections within modelling can play an important role for the students’ learning of mathematics. These findings are illustrated with a modelling project concerning the world population....

  18. Modeling change in learning strategies throughout higher education: a multi-indicator latent growth perspective.

    Liesje Coertjens

    Full Text Available The change in learning strategies during higher education is an important topic of research in the Student Approaches to Learning field. Although the studies on this topic are increasingly longitudinal, analyses have continued to rely primarily on traditional statistical methods. The present research is innovative in the way it uses a multi-indicator latent growth analysis in order to more accurately estimate the general and differential development in learning strategy scales. Moreover, the predictive strength of the latent growth models are estimated. The sample consists of one cohort of Flemish University College students, 245 of whom participated in the three measurement waves by filling out the processing and regulation strategies scales of the Inventory of Learning Styles--Short Versions. Independent-samples t-tests revealed that the longitudinal group is a non-random subset of students starting University College. For each scale, a multi-indicator latent growth model is estimated using Mplus 6.1. Results suggest that, on average, during higher education, students persisting in their studies in a non-delayed manner seem to shift towards high-quality learning and away from undirected and surface-oriented learning. Moreover, students from the longitudinal group are found to vary in their initial levels, while, unexpectedly, not in their change over time. Although the growth models fit the data well, significant residual variances in the latent factors remain.

  19. Modeling Indicator Systems for Evaluating Environmental Sustainable Development Based on Factor Analysis

    WU Hao; CHEN Xiaoling; HE Ying; HE Xiaorong; CAI Xiaobin; XU Keyan

    2006-01-01

    Indicator systems of environmental sustainable development in the Poyang Lake Basin are established from 51 elementary indexes by factor analysis, which is composed of four steps such as the factor model, the parameter estimation, the factor rotation and the factor score. Under the condition that the cumulative proportion is greater than 85%, 5 explicit factors of environmental sustainable development as well as its factor score by region are carried out. The result indicates some impact factors to the basin environmental in descending sort order are volume of water, volume of waste gas discharge, volume of solid wastes, the degree to comprehensive utilization of waste gas, waste water and solid wastes, the emission volume of waste gas, waste water and solid wastes. It is helpful and important to provide decision support for constituting sustainable development strategies and evaluate the sustainable development status of each city.

  20. The association of self-reported health indices and psychosocial factors to stages of change in physical activity

    Murakami, Emi

    2013-01-01

    Background: Low levels of physical activity are a major risk factor for lifestyle diseases and mortality from all causes. Despite the well-known health benefits gained from physical activity, population levels of participation are insufficient low. Improved knowledge about the psychosocial factors might be helpful in understanding why some are active and others not. Purpose: The purpose of this thesis is to 1) examine the association of self-reported health indices and psychoso...

  1. Modelling Typical Online Language Learning Activity

    Montoro, Carlos; Hampel, Regine; Stickler, Ursula

    2014-01-01

    This article presents the methods and results of a four-year-long research project focusing on the language learning activity of individual learners using online tasks conducted at the University of Guanajuato (Mexico) in 2009-2013. An activity-theoretical model (Blin, 2010; Engeström, 1987) of the typical language learning activity was used to…

  2. Evaluating a Model of Youth Physical Activity

    Heitzler, Carrie D.; Lytle, Leslie A.; Erickson, Darin J.; Barr-Anderson, Daheia; Sirard, John R.; Story, Mary

    2010-01-01

    Objective: To explore the relationship between social influences, self-efficacy, enjoyment, and barriers and physical activity. Methods: Structural equation modeling examined relationships between parent and peer support, parent physical activity, individual perceptions, and objectively measured physical activity using accelerometers among a…

  3. Comparison of drought stress indices in beech forests: a modelling study

    Vilhar U

    2016-05-01

    Full Text Available Two drought stress indices were applied to managed as well as old-growth beech forests and gaps for the 2001 to 2013 period to aid in the development of an efficient tool for field water supply diagnosis. The relative extractable soil water (REW, which was calculated from the soil water content in the root zone, and the transpiration index (TI, calculated as the ratio between the actual and potential transpiration were used. Both indices were calculated on a daily basis using the water balance model BROOK90, which was fitted and tested using measured data on throughfall and soil water content. A sensitivity analysis apportioned to the input parameters of the drought stress indices was conducted to assess uncertainty. Both drought stress indices showed the greatest drought stress in the years 2009, 2003 and 2011, as also indicated by the Standardized Precipitation Evapotranspiration Index (SPEI at the nearest meteorological station. However, drought stress intensity and duration differed between the indices and study sites. Greater water supply stress was shown in the forests than the gaps. Furthermore, the agreement among the indices was smaller for gaps compared with forests, which implies that careful index selection is needed when comparing water supply stresses in different stages of forest stand development. Due to the low amount of input data required and the parameters that can be measured with relative ease in the field, REW might be an efficient tool for field water supply diagnosis when analyzing the drought stresses of similar forest types and at unique stages of development. REW satisfactorily indicated drought stress in forests but to a lesser extent in gaps. TI demonstrated more consistent differences in drought stress between forests and gaps and therefore proved to be the appropriate index for a detailed analysis of drought stress variation between different stages of forest stand development. However, due to a greater number of

  4. Ecohydrologic Response of a Wetland Indicator Species to Climate Change and Streamflow Regulation: A Conceptual Model

    Ward, E. M.; Gorelick, S.

    2015-12-01

    The Peace-Athabasca Delta ("Delta") in northeastern Alberta, Canada, is a UNESCO World Heritage Site and a Ramsar Wetland of International Importance. Delta ecohydrology is expected to respond rapidly to upstream water demand and climate change, with earlier spring meltwater, decreased springtime peak flow, and a decline in springtime ice-jam flooding. We focus on changes in the population and distribution of muskrat (Ondatra zibethicus), an ecohydrologic indicator species. We present a conceptual model linking hydrology and muskrat ecology. Our conceptual model links seven modules representing (1) upstream water demand, (2) streamflow and snowmelt, (3) floods, (4) the water balance of floodplain lakes, (5) muskrat habitat suitability, (6) wetland vegetation, and (7) muskrat population dynamics predicted using an agent-based model. Our goal is to evaluate the effects of different climate change and upstream water demand scenarios on the abundance and distribution of Delta muskrat, from present-2100. Moving from the current conceptual model to a predictive quantitative model, we will rely on abundant existing data and Traditional Ecological Knowledge of muskrat and hydrology in the Delta.

  5. Modelling of faecal indicator bacteria (FIB) in the Red River basin (Vietnam).

    Nguyen, Huong Thi Mai; Billen, Gilles; Garnier, Josette; Rochelle-Newall, Emma; Ribolzi, Olivier; Servais, Pierre; Le, Quynh Thi Phuong

    2016-09-01

    Many studies have been published on the use of models to assess water quality through faecal contamination levels. However, the vast majority of this work has been conducted in developed countries and similar studies from developing countries in tropical regions are lacking. Here, we used the Seneque/Riverstrahler model to investigate the dynamics and seasonal distribution of total coliforms (TC), an indicator of faecal contamination, in the Red River (Northern Vietnam) and its upstream tributaries. The results of the model showed that, in general, the overall correlations between the simulated and observed values of TC follow a 1:1 relationship at all examined stations. They also showed that TC numbers were affected by both land use in terms of human and livestock populations and by hydrology (river discharge). We also developed a possible scenario based on the predicted changes in future demographics and land use in the Red River system for the 2050 horizon. Interestingly, the results showed only a limited increase of TC numbers compared with the present situation at all stations, especially in the upstream Vu Quang station and in the urban Ha Noi station. This is probably due to the dominance of diffuse sources of contamination relative to point sources. The model is to our knowledge one of the first mechanistic models able to simulate spatial and seasonal variations of microbial contamination (TC numbers) in the whole drainage network of a large regional river basin covering both urban and rural areas of a developing country. PMID:27523602

  6. Reduced Serum Butyrylcholinesterase Activity Indicates Severe Systemic Inflammation in Critically Ill Patients

    Aleksandar R. Zivkovic

    2015-01-01

    Full Text Available Systemic inflammation is an immune response to a nonspecific insult of either infectious or noninfectious origin and remains a challenge in the intensive care units with high mortality rate. Cholinergic neurotransmission plays an important role in the regulation of the immune response during inflammation. We hypothesized that the activity of butyrylcholinesterase (BChE might serve as a marker to identify and prognose systemic inflammation. By using a point-of-care-testing (POCT approach we measured BChE activity in patients with severe systemic inflammation and healthy volunteers. We observed a decreased BChE activity in patients with systemic inflammation, as compared to that of healthy individuals. Furthermore, BChE activity showed an inverse correlation with the severity of the disease. Although hepatic function has previously been found essential for BChE production, we show here that the reduced BChE activity associated with systemic inflammation occurs independently of and is thus not caused by any deficit in liver function in these patients. A POCT approach, used to assess butyrylcholinesterase activity, might further improve the therapy of the critically ill patients by minimizing time delays between the clinical assessment and treatment of the inflammatory process. Hence, assessing butyrylcholinesterase activity might help in early detection of inflammation.

  7. Original article Identifying indicators of defensive activity in narration about important interpersonal relations

    Emilia Soroko

    2014-10-01

    Full Text Available Background One of the main components of psychological conversation that influence communication is psychological defensiveness. 
In the paper I propose processual – situational understanding of defensiveness, and its measurement based on coding system. Preliminary results on link between personality traits and defensiveness in people’s narratives are presented as well. Participants and procedure To test proposed coding system, study was conducted with participants presenting different levels of personality organization’s (borderline: n = 35, 20 women, M = 26.09, SD = 4.82, neurotic: n = 29, 24 women, M = 25.90, SD = 5.25, integrated: n = 31, 26 women, M = 21.94, SD = 1.69. Correlation method was applied (Borderline Personality Inventory, Neuroticism Scale, Emotion Control Inventory, as well as narrative’s interviews. Participants’ statements were coded by competent judges (defensiveness and coherence of narratives, and by automatic lexical analyses (descriptive indicators. Results Results indicate that proposed defensiveness coding system is a set of heterogeneous indicators, and four groups of indicators could be extracted. Correlations between those indicators and expression control (positive relation, and coherence of narratives (negative relation. Moreover, differences between borderline participants and neurotic ones emerged. Conclusions Proposed coding system seems to be a heterogeneous but useful tool for assessing defensiveness during psychological interviews. It could be applied as an element of a procedural control measures, directed to test the reliability of psychological conversation.

  8. Indicators of competitive activity of the oarswomen on kayaks at the Olympic distance.

    Chychkan O.A.

    2010-08-01

    Full Text Available The frame of competitive activity of sportsmen on kayaks different sports qualification on a distance of 500 meters is construed. 20 sportsmen of different sports qualification have been inspected. During competitions were fixed: number paddle boat and a road clearance time of a distance. It is exhibited variances in a level of competitive activity. Competitive activity expediently to value on parameters of a road clearance time of a distance, an amount paddle boat on a distance, roads of a boat for 1 paddle boat, an average velocity of a boat, average rate, average duration paddle boat, an average velocity of a boat in a cycle paddle boat, to factor mechanics.

  9. Advances in subsurface pollution of porous media indicators, processes and modelling

    Candela, Lucila; Elorza, Francisco Javier

    2013-01-01

    Multicomponent Diffusion in Clays, C.A.J. AppeloModelling of Solute Mass Transfer Across the Capillary Fringe, U. Maier, C. Beyer, B. Susset, and P. GrathwohlStrategies to Quantify Contaminant Degradation in Groundwater Using Stable Isotope Data, D. HunkelerAlternative Methods and Indicators of Water Quality in Natural Porous MediaDerivation of Natural Background Levels and Threshold Values for Groundwater Bodies in the Upper Rhine Valley, R. Kunkel, G. Berthold, A. Blum, P. Elsass, J.-G. Fritsche, R. Wolter, and F.

  10. How uncertain are climate model projections of water availability indicators across the Middle East?

    Hemming, Debbie; Buontempo, Carlo; Burke, Eleanor; Collins, Mat; Kaye, Neil

    2010-11-28

    The projection of robust regional climate changes over the next 50 years presents a considerable challenge for the current generation of climate models. Water cycle changes are particularly difficult to model in this area because major uncertainties exist in the representation of processes such as large-scale and convective rainfall and their feedback with surface conditions. We present climate model projections and uncertainties in water availability indicators (precipitation, run-off and drought index) for the 1961-1990 and 2021-2050 periods. Ensembles from two global climate models (GCMs) and one regional climate model (RCM) are used to examine different elements of uncertainty. Although all three ensembles capture the general distribution of observed annual precipitation across the Middle East, the RCM is consistently wetter than observations, especially over the mountainous areas. All future projections show decreasing precipitation (ensemble median between -5 and -25%) in coastal Turkey and parts of Lebanon, Syria and Israel and consistent run-off and drought index changes. The Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) GCM ensemble exhibits drying across the north of the region, whereas the Met Office Hadley Centre work Quantifying Uncertainties in Model ProjectionsAtmospheric (QUMP-A) GCM and RCM ensembles show slight drying in the north and significant wetting in the south. RCM projections also show greater sensitivity (both wetter and drier) and a wider uncertainty range than QUMP-A. The nature of these uncertainties suggests that both large-scale circulation patterns, which influence region-wide drying/wetting patterns, and regional-scale processes, which affect localized water availability, are important sources of uncertainty in these projections. To reduce large uncertainties in water availability projections, it is suggested that efforts would be well placed to focus on the understanding and modelling of both

  11. Serum bactericidal activity as indicator of innate immunity in pacu Piaractus mesopotamicus (Holmberg, 1887

    J.D. Biller-Takahashi

    2013-12-01

    Full Text Available The immune system of teleost fish has mechanisms responsible for the defense against bacteria through protective proteins in several tissues. The protein action can be evaluated by serum bactericidal activity and this is an important tool to analyze the immune system. Pacu, Piaractus mesopotamicus, is one of the most important fish in national aquaculture. However there is a lack of studies on its immune responses. In order to standardize and assess the accuracy of the serum bactericidal activity assay, fish were briefly challenged with Aeromonas hydrophila and sampled one week after the challenge. The bacterial infection increased the concentration of protective proteins, resulting in a decrease of colony-forming unit values expressed as well as an enhanced serum bactericidal activity. The protocol showed a reliable assay, appropriate to determine the serum bactericidal activity of pacu in the present experimental conditions.

  12. Constructing coincident indices of economic activity for the Latin American economy

    João Victor Issler

    2013-03-01

    Full Text Available This paper has three main contributions. The first is to propose an individual coincident indicator for the following Latin American countries: Argentina, Brazil, Chile, Colombia and Mexico. In order to obtain similar series to those traditionally used in business-cycle research in constructing coincident indices (output, sales, income and employment we were forced to back-cast several individual country series which were not available in a long time-series span. The second contribution is to establish a chronology of recessions for these countries, covering the period from 1980 to 2012 on a monthly basis. Based on this chronology, the countries are compared in several respects. The final contribution is to propose an aggregate coincident indicator for the Latin American economy, which weights individual-country composite indices. Finally, this indicator is compared with the coincident indicator (The Conference Board - TCB of the U.S. economy. We find that the U.S. indicator Granger-causes the Latin American indicator in statistical testsEsse artigo tem 3 contribuições à literatura de ciclos de negócios. A primeira é a de construir indicadores coincidentes de atividade econômica para Argentina, Brasil, Chile, Colômbia e México, usando pesos idênticos para as séries de Emprego, Produção, Renda, e Vendas. Para tal, tivemos que fazer o back-cast de algumas séries chave para poder construir esses indicadores. A segunda é a de estabelecer uma cronologia de recessões para esses países no período 1980-2012 em bases mensais. Com base na última, fazemos comparações em várias dimensões. Finalmente, nossa última contribuição é propor um índice coincidente agregado para a América Latina, que é comparado ao índice agregado dos EUA. Esta comparação indica que o índice coincidente dos EUA Granger-causa o da América Latina, mas a recíproca não é verdadeira

  13. Quality of life and physical activity as indicators of health-preserving competence of teachers

    Pavlova Iu.A.

    2012-01-01

    The quality of life and physical activity of teachers of physical culture, basic of health, labour, the defense of Motherland and pedagogue-organizers from secondary schools Lviv region (Ukraine) were investigated. The 402 persons (age 24-78 years) were surveyed with the use of questionnaires MOS SF 36 and IPAQ. The highest quality of life and level of physical activity have teachers of physical culture. It is considered the quality of life of teachers of other subjects similar to persons wit...

  14. Variance-based sensitivity indices for stochastic models with correlated inputs

    The goal of this article is the formulation of the principles of one of the possible strategies in implementing correlation between input random variables so as to be usable for algorithm development and the evaluation of Sobol’s sensitivity analysis. With regard to the types of stochastic computational models, which are commonly found in structural mechanics, an algorithm was designed for effective use in conjunction with Monte Carlo methods. Sensitivity indices are evaluated for all possible permutations of the decorrelation procedures for input parameters. The evaluation of Sobol’s sensitivity coefficients is illustrated on an example in which a computational model was used for the analysis of the resistance of a steel bar in tension with statistically dependent input geometric characteristics

  15. Development of generic key performance indicators for PMBOK® using a 3D project integration model

    Craig Langston

    2013-12-01

    Full Text Available Since Martin Barnes’ so-called ‘iron triangle’ circa 1969, much debate has occurred over how best to describe the fundamental constraints that underpin project success. This paper develops a 3D project integration model for PMBOK® comprising core constraints of scope, cost, time and risk as a basis to propose six generic key performance indicators (KPIs that articulate successful project delivery. These KPIs are defined as value, efficiency, speed, innovation, complexity and impact and can each be measured objectively as ratios of the core constraints. An overall KPI (denoted as s3/ctr is also derived. The aim in this paper is to set out the case for such a model and to demonstrate how it can be employed to assess the performance of project teams in delivering successful outcomes at various stages in the project life cycle. As part of the model’s development, a new PMBOK® knowledge area concerning environmental management is advanced.

  16. Indications for an influence of Hot Jupiters on the rotation and activity of their host stars

    Poppenhaeger, K

    2014-01-01

    The magnetic activity of planet-hosting stars is an important factor to estimate the atmospheric stability of close-in exoplanets and the age of their host stars. It has long been speculated that close-in exoplanets can influence the stellar activity level. However, testing for tidal or magnetic interaction effects in samples of planet-hosting stars is difficult because stellar activity hinders exoplanet detection, so that stellar samples with detected exoplanets show a bias towards low activity for small exoplanets. We aim to test if exoplanets in close orbits influence the stellar rotation and magnetic activity of their host stars, and have developed a novel approach to test for such systematic activity enhancements. We use wide (several 100 AU) binary systems in which one of the stellar components is known to have an exoplanet, while the second stellar component does not have a detected planet and therefore acts as a negative control. We use the stellar coronal X-ray emission as an observational proxy for ...

  17. Modeling spatially- and temporally-explicit water stress indices for use in life cycle assessment

    Scherer, L.; Venkatesh, A.; Karuppiah, R.; Usadi, A.; Pfister, S.; Hellweg, S.

    2013-12-01

    Water scarcity is a regional issue in many areas across the world, and can affect human health and ecosystems locally. Water stress indices (WSIs) have been developed as quantitative indicators of such scarcities - examples include the Falkenmark indicator, Social Water Stress Index, and the Water Supply Stress Index1. Application of these indices helps us understand water supply and demand risks for multiple users, including those in the agricultural, industrial, residential and commercial sectors. Pfister et al.2 developed a method to calculate WSIs that were used to estimate characterization factors (CFs) in order to quantify environmental impacts of freshwater consumption within a life cycle assessment (LCA) framework. Global WSIs were based on data from the WaterGAP model3, and presented as annual averages for watersheds. Since water supply and demand varies regionally and temporally, the resolution used in Pfister et al. does not effectively differentiate between seasonal and permanent water scarcity. This study aims to improve the temporal and spatial resolution of the water scarcity calculations used to estimate WSIs and CFs. We used the Soil and Water Assessment Tool (SWAT)4 hydrological model to properly simulate water supply in different world regions with high spatial and temporal resolution, and coupled it with water use data from WaterGAP3 and Pfister et al.5. Input data to SWAT included weather, land use, soil characteristics and a digital elevation model (DEM), all from publicly available global data sets. Potential evapotranspiration, which affects water supply, was determined using an improved Priestley-Taylor approach. In contrast to most other hydrological studies, large reservoirs, water consumption and major water transfers were simulated. The model was calibrated against observed monthly discharge, actual evapotranspiration, and snow water equivalents wherever appropriate. Based on these simulations, monthly WSIs were calculated for a few

  18. The activity model of legal psychologist

    N.V. Bogdanovich,; V.A. Chernushevich

    2014-01-01

    We propose an activity model of legal psychologist work. As a basis for the construction of the system of legal psychologist activity, we use trajectory of teenager living in the legal field. As the main activities within their respective specializations, we highlighted prevention, maintenance and rehabilitation. We define the main activities necessary for the development within the FGOSIII specialization 050407 “Pedagogy and Psychology of deviant behavior”: general and pathopsychologic diagn...

  19. Modelling activity transport behavior in PWR plant

    The activation and transport of corrosion products around a PWR circuit is a major concern to PWR plant operators as these may give rise to high personnel doses. The understanding of what controls dose rates on ex-core surfaces and shutdown releases has improved over the years but still several questions remain unanswered. For example the relative importance of particle and soluble deposition in the core to activity levels in the plant is not clear. Wide plant to plant and cycle to cycle variations are noted with no apparent explanations why such variations are observed. Over the past few years this group have been developing models to simulate corrosion product transport around a PWR circuit. These models form the basis for the latest version of the BOA code and simulate the movement of Fe and Ni around the primary circuit. Part of this development is to include the activation and subsequent transport of radioactive species around the circuit and this paper describes some initial modelling work in this area. A simple model of activation, release and deposition is described and then applied to explain the plant behaviour at Sizewell B and Vandellos II. This model accounts for activation in the core, soluble and particulate activity movement around the circuit and for activity capture ex-core on both the inner and outer oxides. The model gives a reasonable comparison with plant observations and highlights what controls activity transport in these plants and importantly what factors can be ignored. (authors)

  20. ATP as an indicator of biomass activity in thermophilic upflow anaerobic sludge blanket reactor

    2000-01-01

    This work investigated the biomass activity in a thermophilic upflow anaerobic sludge blanket (UASB) reactor of wastewater treatment. Synthetic textile wastewater with pH 10-11, COD level of 2000-3000 mg/L was tested. Cellular adenosine triphosphate (ATP) in volatile solids (VS; mg ATP/gVS) was measured and expressed as specific ATP content to compare the biomass activity in up zone and lower zone in UASB reactor. The result shows that the specific ATP content based on total volatile solids (VS)in lower zone (0. 046 mgATP/gVS average) is much lower than that in up zone (0.62 mgATP/gVS average) due to high content of inactive biomass and high pH in lower zone. The SATP in up zone increases as HRT increases and approaches to a maximum value of 0.85 mgATP/gVS at HRT of 7h, then decreases. It shows most of the total VS in up zone represent active bacterial biomass at HRT of 7h. Rate of subtract utilization is directly related to the activity of microorganisms in the reactor. The effect of HRT on SATP in lower zone is not as significant as on SATP in up zone. The buffer capacity of the thermophilic UASB reactor is very good. It is the activity of sludge granules in lower zone that give the UASB reactor such a good buffer capacity to the inlet high pH.

  1. Recent Developments in Indicators and Models for Agri-environmental Assessment

    Marta Carpani

    2006-12-01

    Full Text Available Over the years there has been a remarkable development in agricultural and environmental sciences and the public is growing increasingly concerned about the relations between agriculture and the environment, and about the sustainability of agricultural production systems in many parts of the world. Policy makers and the general public have asked the scientific community to make more information available, and a great wealth of research studies have been conducted and published in recent years. Many studies include in-depth analyses of agricultural systems based on simulation models for various purposes: understanding the mechanisms involved, comparing alternative scenarios and supporting and evaluating policy measures. Indicators are also frequently used to provide concise quantitative figures of various aspects (economic or productive performances, environmental impacts, etc. and to communicate them to a broad audience. This paper offers a survey of the recent literature dealing with agri-environmental issues and, in particular, of those references presenting the use of models and indicators for the assessment of agricultural systems and their effects on environmental compartments (water, soil, air, from multiple disciplinary perspectives, and at various scales. The references examined for this paper have been classified in order to group the papers according to various criteria, thus facilitating the identification of relevant references, and to compare their contents. The methodological approaches are analysed and compared in order to highlight the contributions of the scientific literature to the assessment of agro-ecosystems and agri-environmental policies.

  2. Computational Models for Analysis of Illicit Activities

    Nizamani, Sarwat

    devise policies to minimize them. These activities include cybercrimes, terrorist attacks or violent actions in response to certain world issues. Beside such activities, there are several other related activities worth analyzing, for which computational models have been presented in this thesis....... These models include a model for analyzing evolution of terrorist networks; a text classification model for detecting suspicious text and identification of suspected authors of anonymous emails; and a semantic analysis model for news reports, which may help analyze the illicit activities in certain area...... with location and temporal information. For the network evolution, the hierarchical agglomerative clustering approach has been applied to terrorist networks as case studies. The networks' evolutions show that how individual actors who are initially isolated from each other are converted in small groups, which...

  3. Integration of vegetation indices into a water balance model to estimate evapotranspiration of wheat and corn

    Padilla, F. L. M.; González-Dugo, M. P.; Gavilán, P.; Domínguez, J.

    2011-04-01

    Vegetation indices (VIs) have been traditionally used for quantitative monitoring of vegetation. Remotely sensed radiometric measurements of visible and infrared solar energy, which is reflected or emitted by plant canopies, can be used to obtain rapid, non-destructive estimates of certain canopy attributes and parameters. One parameter of special interest for water management applications, is the crop coefficient employed by the FAO-56 model to derive actual crop evapotranspiration (ET). The aim of this study was to evaluate a methodology that combines the basal crop coefficient derived from VIs with a daily soil water balance in the root zone to estimate daily evapotranspiration rates for corn and wheat crops at field scale. The ability of the model to trace water stress in these crops was also assessed. Vegetation indices were first retrieved from field hand-held radiometer measurements and then from Landsat 5 and 7 satellite images. The results of the model were validated using two independent measurement systems for ET and regular soil moisture monitoring, in order to evaluate the behavior of the soil and atmosphere components of the model. ET estimates were compared with latent heat flux measured by an eddy covariance system and with weighing lysimeter measurements. Average overestimates of daily ET of 8 and 11% were obtained for corn and wheat, respectively, with good agreement between the estimated and measured root-zone water deficit for both crops when field radiometry was employed. When the satellite sensor data replaced the field radiometry data the overestimation figures slightly changed to 9 and 6% for the same two crops. The model was also used to monitor the water stress during the 2009 growing season, detecting several periods of water stress in both crops. Some of these stresses occurred during stages like grain filling, when the water stress is know to have a negative effect on yield. This fact could explain the lower yield reached compared to

  4. Integration of vegetation indices into a water balance model to estimate evapotranspiration of wheat and corn

    F. L. M. Padilla

    2010-10-01

    Full Text Available Vegetation indices (VIs have been traditionally used for quantitative monitoring of vegetation. Remotely sensed radiometric measurements of visible and infrared solar energy, which is reflected or emitted by plant canopies, can be used to obtain rapid, non-destructive estimates of certain canopy attributes and parameters. One parameter of special interest for water management applications, is the crop coefficient employed by the FAO-56 model to derive actual crop evapotranspiration (ET. The aim of this study was to evaluate a methodology that combines the basal crop coefficient derived from VIs with a daily soil water balance in the root zone to estimate daily evapotranspiration rates for corn and wheat crops at field scale. The ability of the model to trace water stress in these crops was also assessed. Vegetation indices were first retrieved from field hand-held radiometer measurements and then from Landsat 5 and 7 satellite images. The results of the model were validated using two independent measurement systems for ET and regular soil moisture monitoring, in order to evaluate the behavior of the soil and atmosphere components of the model. ET estimates were compared with latent heat flux measured by an eddy covariance system and with weighing lysimeter measurements. Average overestimates of daily ET of 8 and 11% were obtained for corn and wheat, respectively, with good agreement between the estimated and measured root-zone water deficit for both crops when field radiometry was employed. Satellite remote-sensing inputs overestimated ET by 4 to 9%, showing a non-significant lost of accuracy when the satellite sensor data replaced the field radiometry data. The model was also used to monitor the water stress during the 2009 growing season, detecting several periods of water stress in both crops. Some of these stresses occurred during stages like grain filling, when the water stress is know to have a negative effect on yield. This fact could

  5. Integration of vegetation indices into a water balance model to estimate evapotranspiration of wheat and corn

    F. L. M. Padilla

    2011-04-01

    Full Text Available Vegetation indices (VIs have been traditionally used for quantitative monitoring of vegetation. Remotely sensed radiometric measurements of visible and infrared solar energy, which is reflected or emitted by plant canopies, can be used to obtain rapid, non-destructive estimates of certain canopy attributes and parameters. One parameter of special interest for water management applications, is the crop coefficient employed by the FAO-56 model to derive actual crop evapotranspiration (ET. The aim of this study was to evaluate a methodology that combines the basal crop coefficient derived from VIs with a daily soil water balance in the root zone to estimate daily evapotranspiration rates for corn and wheat crops at field scale. The ability of the model to trace water stress in these crops was also assessed. Vegetation indices were first retrieved from field hand-held radiometer measurements and then from Landsat 5 and 7 satellite images. The results of the model were validated using two independent measurement systems for ET and regular soil moisture monitoring, in order to evaluate the behavior of the soil and atmosphere components of the model. ET estimates were compared with latent heat flux measured by an eddy covariance system and with weighing lysimeter measurements. Average overestimates of daily ET of 8 and 11% were obtained for corn and wheat, respectively, with good agreement between the estimated and measured root-zone water deficit for both crops when field radiometry was employed. When the satellite sensor data replaced the field radiometry data the overestimation figures slightly changed to 9 and 6% for the same two crops. The model was also used to monitor the water stress during the 2009 growing season, detecting several periods of water stress in both crops. Some of these stresses occurred during stages like grain filling, when the water stress is know to have a negative effect on yield. This fact could explain the lower yield

  6. Individual analysis the competitive activity indicators of elite swimmer in a distance of 200 m. breaststroke

    Skyriene V.V.

    2010-01-01

    The analysis of features of competition activity is presented one of the best sportsmen. Basic dignities of competition activity of sportsman there is ability to develop high-rate of swimming of the starting cutting-off, distance and finish cutting-off. The low rate of motions is thus marked at a very long stroke. To failings it is possible to take the enough long stay of sportsman on a starting stand, considerable falling of speed of implementation of turns on motion distance. It is well-pro...

  7. THE ANALYSIS OF PERFORMANCES OF THE ENTREPRISE THROUGH INDICATORS OF THE VOLUME OF ACTIVITY

    POP Fãnuța; FÃT Codruța

    2013-01-01

    The activity of any economic entity is aimed at providing objects, works and services meant to fulfill certain social needs, as well as at achieving a certain level of profit which would enable the entreprise to maintain and/or develop in business. In order to reach these objectives, the offer of the entreprise should meet the demand of the market whithin which it activates in terms of: volume (how much it is demanded?), structure (what brands are demanded and what is their share in the total...

  8. Kernel density surface modelling as a means to identify significant concentrations of vulnerable marine ecosystem indicators.

    Kenchington, Ellen; Murillo, Francisco Javier; Lirette, Camille; Sacau, Mar; Koen-Alonso, Mariano; Kenny, Andrew; Ollerhead, Neil; Wareham, Vonda; Beazley, Lindsay

    2014-01-01

    The United Nations General Assembly Resolution 61/105, concerning sustainable fisheries in the marine ecosystem, calls for the protection of vulnerable marine ecosystems (VME) from destructive fishing practices. Subsequently, the Food and Agriculture Organization (FAO) produced guidelines for identification of VME indicator species/taxa to assist in the implementation of the resolution, but recommended the development of case-specific operational definitions for their application. We applied kernel density estimation (KDE) to research vessel trawl survey data from inside the fishing footprint of the Northwest Atlantic Fisheries Organization (NAFO) Regulatory Area in the high seas of the northwest Atlantic to create biomass density surfaces for four VME indicator taxa: large-sized sponges, sea pens, small and large gorgonian corals. These VME indicator taxa were identified previously by NAFO using the fragility, life history characteristics and structural complexity criteria presented by FAO, along with an evaluation of their recovery trajectories. KDE, a non-parametric neighbour-based smoothing function, has been used previously in ecology to identify hotspots, that is, areas of relatively high biomass/abundance. We present a novel approach of examining relative changes in area under polygons created from encircling successive biomass categories on the KDE surface to identify "significant concentrations" of biomass, which we equate to VMEs. This allows identification of the VMEs from the broader distribution of the species in the study area. We provide independent assessments of the VMEs so identified using underwater images, benthic sampling with other gear types (dredges, cores), and/or published species distribution models of probability of occurrence, as available. For each VME indicator taxon we provide a brief review of their ecological function which will be important in future assessments of significant adverse impact on these habitats here and elsewhere

  9. Activity transport models for PWR primary circuits

    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.)

  10. Method of magnetobiological indication in clinical laboratory practice. [considering immunobiological activation

    Sosunov, A. V.; Dubova, V. M.; Parfenov, Y. S.; Piksina, L. D.; Borisov, F. O.; Semenov, L. N.

    1974-01-01

    Data are presented on the use of the method of magnetobiological indication for defining the immunobiological state of patients with very serious diseases. It has been found that the enzymes of a patient react more sensitively to the energy from a magnetic field. It is important that the magnetoreactivity of the enzymes, like the cell forms of the blood in the patients, have a certain relationship to the clinical-nosological forms and the dynamics of the illness of the subject.

  11. Microalbuminuria associated with indicators of inflammatory activity in an HIV-positive population

    Baekken, Morten; Os, Ingrid; Sandvik, Leiv; Oektedalen, Olav

    2008-01-01

    Background. The survival of human immunodeficiency virus (HIV)-infected patients has increased significantly since the introduction of combination antiretroviral therapy, leading to the development of important long-term complications including cardiovascular disease (CVD) and renal disease. Microalbuminuria, an indicator of glomerular injury, is associated with an increased risk of progressive renal deterioration, CVD and mortality. However, the prevalence of microalbuminuria has barely been...

  12. Enzyme activities and microbial indices of Mexican volcanic soils under different managements

    Soils at the Mexican Trans-volcanic Belt are extremely important because the lack of agricultural land in overpopulated areas in Mexico. In addition, contents of soil organic matter (SOM) have been declining since the Mexican fields have been cultivated intensively. The aim of this work was to study how different agricultural management practices affect the SOM quality, using biochemical and microbiological parameters as indices. (Author)

  13. Genetically encoded calcium indicators for multi-color neural activity imaging and combination with optogenetics

    Akerboom, Jasper; Carreras Calderón, Nicole; Tian, Lin; Wabnig, Sebastian; Prigge, Matthias; Tolö, Johan; Gordus, Andrew; Orger, Michael B; Severi, Kristen E.; Macklin, John J.; Patel, Ronak; Pulver, Stefan R.; Trevor J Wardill; Fischer, Elisabeth; Schüler, Christina

    2013-01-01

    This work was supported by Goethe University Frankfurt; Deutsche Forschungsgemeinschaft (DFG), grant EXC115; European Union FP7 grant “EUTrigTreat and German Research Council (DFG) Grant MI 685/2-1. Genetically encoded calcium indicators (GECIs) are powerful tools for systems neuroscience. Here we describe red, single-wavelength GECIs, "RCaMPs," engineered from circular permutation of the thermostable red fluorescent protein mRuby. High-resolution crystal structures of mRuby, the red senso...

  14. Nepenthesin protease activity indicates digestive fluid dynamics in carnivorous nepenthes plants.

    Buch, Franziska; Kaman, Wendy E; Bikker, Floris J; Yilamujiang, Ayufu; Mithöfer, Axel

    2015-01-01

    Carnivorous plants use different morphological features to attract, trap and digest prey, mainly insects. Plants from the genus Nepenthes possess specialized leaves called pitchers that function as pitfall-traps. These pitchers are filled with a digestive fluid that is generated by the plants themselves. In order to digest caught prey in their pitchers, Nepenthes plants produce various hydrolytic enzymes including aspartic proteases, nepenthesins (Nep). Knowledge about the generation and induction of these proteases is limited. Here, by employing a FRET (fluorescent resonance energy transfer)-based technique that uses a synthetic fluorescent substrate an easy and rapid detection of protease activities in the digestive fluids of various Nepenthes species was feasible. Biochemical studies and the heterologously expressed Nep II from Nepenthes mirabilis proved that the proteolytic activity relied on aspartic proteases, however an acid-mediated auto-activation mechanism was necessary. Employing the FRET-based approach, the induction and dynamics of nepenthesin in the digestive pitcher fluid of various Nepenthes plants could be studied directly with insect (Drosophila melanogaster) prey or plant material. Moreover, we observed that proteolytic activity was induced by the phytohormone jasmonic acid but not by salicylic acid suggesting that jasmonate-dependent signaling pathways are involved in plant carnivory. PMID:25750992

  15. Nepenthesin protease activity indicates digestive fluid dynamics in carnivorous nepenthes plants.

    Franziska Buch

    Full Text Available Carnivorous plants use different morphological features to attract, trap and digest prey, mainly insects. Plants from the genus Nepenthes possess specialized leaves called pitchers that function as pitfall-traps. These pitchers are filled with a digestive fluid that is generated by the plants themselves. In order to digest caught prey in their pitchers, Nepenthes plants produce various hydrolytic enzymes including aspartic proteases, nepenthesins (Nep. Knowledge about the generation and induction of these proteases is limited. Here, by employing a FRET (fluorescent resonance energy transfer-based technique that uses a synthetic fluorescent substrate an easy and rapid detection of protease activities in the digestive fluids of various Nepenthes species was feasible. Biochemical studies and the heterologously expressed Nep II from Nepenthes mirabilis proved that the proteolytic activity relied on aspartic proteases, however an acid-mediated auto-activation mechanism was necessary. Employing the FRET-based approach, the induction and dynamics of nepenthesin in the digestive pitcher fluid of various Nepenthes plants could be studied directly with insect (Drosophila melanogaster prey or plant material. Moreover, we observed that proteolytic activity was induced by the phytohormone jasmonic acid but not by salicylic acid suggesting that jasmonate-dependent signaling pathways are involved in plant carnivory.

  16. Solar Indices

    National Oceanic and Atmospheric Administration, Department of Commerce — Collection includes a variety of indices related to solar activity contributed by a number of national and private solar observatories located worldwide. This...

  17. Participant adherence indicators predict changes in dietary, physical activity, and clinical outcomes in church-based, diet and supervised physical activity intervention: Delta Body and Soul III

    This secondary analysis evaluated the utility of several participant adherence indicators for predicting health outcome changes in a 6-month, church-based, controlled, lifestyle intervention previously proven effective for improving diet quality, physical activity, and blood lipids. Descriptive ind...

  18. Discursive positionings and emotions in modelling activities

    Daher, Wajeeh

    2015-11-01

    Mathematical modelling is suggested as an activity through which students engage in meaningful mathematics. In the current research, the modelling activity of a group of four seventh-grade students was analysed using the discursive analysis framework. The research findings show that the positionings and emotions of the group members during their participation in the modelling activity changed as the activity proceeded. Overall, it can be said that three of the four group members acted as insiders, while the fourth acted as an outsider, and only, towards the end of the group's work on the activity, he acted as an insider. Moreover, the research findings point at four factors that affected the group members' positionings and emotions during the modelling activity: the member's characteristics, the member's history of learning experiences, the activity characteristics and the modelling phases. Furthermore, the different positionings of the group members in the different modelling phases were accompanied by different emotions experienced by them, where being an insider and a collaborator resulted in positive emotions, while being an outsider resulted in negative emotions.

  19. County-Scale Spatial Distribution of Soil Enzyme Activities and Enzyme Activity Indices in Agricultural Land: Implications for Soil Quality Assessment

    Xie, Baoni; Wang, Junxing; He, Wenxiang; Wang, Xudong; Wei, Gehong

    2014-01-01

    Here the spatial distribution of soil enzymatic properties in agricultural land was evaluated on a county-wide (567 km2) scale in Changwu, Shaanxi Province, China. The spatial variations in activities of five hydrolytic enzymes were examined using geostatistical methods. The relationships between soil enzyme activities and other soil properties were evaluated using both an integrated total enzyme activity index (TEI) and the geometric mean of enzyme activities (GME). At the county scale, soil invertase, phosphatase, and catalase activities were moderately spatially correlated, whereas urease and dehydrogenase activities were weakly spatially correlated. Correlation analysis showed that both TEI and GME were better correlated with selected soil physicochemical properties than single enzyme activities. Multivariate regression analysis showed that soil OM content had the strongest positive effect while soil pH had a negative effect on the two enzyme activity indices. In addition, total phosphorous content had a positive effect on TEI and GME in orchard soils, whereas alkali-hydrolyzable nitrogen and available potassium contents, respectively, had negative and positive effects on these two enzyme indices in cropland soils. The results indicate that land use changes strongly affect soil enzyme activities in agricultural land, where TEI provides a sensitive biological indicator for soil quality. PMID:25610908

  20. County-Scale Spatial Distribution of Soil Enzyme Activities and Enzyme Activity Indices in Agricultural Land: Implications for Soil Quality Assessment

    Xiangping Tan

    2014-01-01

    Full Text Available Here the spatial distribution of soil enzymatic properties in agricultural land was evaluated on a county-wide (567 km2 scale in Changwu, Shaanxi Province, China. The spatial variations in activities of five hydrolytic enzymes were examined using geostatistical methods. The relationships between soil enzyme activities and other soil properties were evaluated using both an integrated total enzyme activity index (TEI and the geometric mean of enzyme activities (GME. At the county scale, soil invertase, phosphatase, and catalase activities were moderately spatially correlated, whereas urease and dehydrogenase activities were weakly spatially correlated. Correlation analysis showed that both TEI and GME were better correlated with selected soil physicochemical properties than single enzyme activities. Multivariate regression analysis showed that soil OM content had the strongest positive effect while soil pH had a negative effect on the two enzyme activity indices. In addition, total phosphorous content had a positive effect on TEI and GME in orchard soils, whereas alkali-hydrolyzable nitrogen and available potassium contents, respectively, had negative and positive effects on these two enzyme indices in cropland soils. The results indicate that land use changes strongly affect soil enzyme activities in agricultural land, where TEI provides a sensitive biological indicator for soil quality.

  1. A review of Ramadan fasting and regular physical activity on metabolic syndrome indices

    Seyyed Reza Attarzadeh Hosseini; keyvan Hejazi

    2016-01-01

    Introduction: Metabolic syndrome constitutes a cluster of risk factors such as obesity, hyperglycemia,  hypertension, and dyslipidemia, which increase the risk of cardiovascular diseases and type II diabetes mellitus. In this review article, we aimed to discuss the possible effects of fasting and regular physical activity on risk factors for cardiovascular diseases.  Methods: Online databases including Google Scholar, SID, PubMed, and MagIran were searched, using the following keywords:  “tra...

  2. Use of Faropenem as an Indicator of Carbapenemase Activity in the Enterobacteriaceae

    Day, Kathryn M.; Pike, Rachel; Winstanley, Trevor G.; Lanyon, Clare; Cummings, Stephen P.; Raza, Muhammad W.; Woodford, Neil; Perry, John D.

    2013-01-01

    The aim of this study was to determine the ability of a disc susceptibility test using faropenem (10 μg) to predict carbapenemase activity in Enterobacteriaceae. A collection of 166 isolates of carbapenemase-producing Enterobacteriaceae (CPE) and 82 isolates of Enterobacteriaceae that produced other β-lactamases was compiled from diverse sources. Disc susceptibility testing was performed using the CLSI/EUCAST methodology with discs of faropenem (10 μg), temocillin (30 μg), and four carbapenem...

  3. Community indicators: a framework for observing and supporting community activity on Cloudworks

    Galley, Rebecca; Conole, Grainne; Alevizou, Panagiota

    2014-01-01

    Cloudworks (Cloudworks.ac.uk) is a social networking site designed for sharing, finding and discussing learning and teaching ideas and experiences. Design and development of the site has been based on an iterative analysis, development and implementation approach, underpinned by ongoing research and evaluation. To this end, we have been seeking to establish strategies to enable us to systematically position transactions and emerging patterns of activity on the site so that we can more reliabl...

  4. The use of environmental sampling to detect indications of undeclared nuclear activities

    Full text: Environmental Sampling is a powerful tool for confirming declared operations in facilities and for detecting clandestine nuclear activities, be it from a declared or undeclared location. Since environmental sampling (ES) was introduced as a safeguards verification measure in 1996, thousands of environmental samples have been taken during: routine inspections under comprehensive safeguards agreements; complementary access activities under additional protocols; design information verification activities; and other campaigns to confirm the completeness of State declarations. The Agency has gained valuable experience in analyzing and evaluating environmental samples, and understanding the results in the context of a State's nuclear activities. However, the environmental sampling process (i.e. sample collection and analysis with subsequent data evaluation and reporting) needs to be continually reviewed and refined to maximize its effectiveness as a safeguards tool. Environmental sample analysis and data evaluation will always be a process that is measured in months rather than weeks or days. However, in the last few years the evaluation time has lengthened because of the expanding role of ES as a safeguards measure and the consequent increase in samples collected. Steps have already been taken to reduce this cycle time but it is a matter that needs continuous monitoring and optimization. The analytical results from ES are evaluated, along with many other sources of information, as part of the State evaluation process. The State evaluation, as documented in a State Evaluation Report, constitutes the basis for the Agency's assessment of a State's nuclear fuel cycle and the drawing of safeguards conclusions. As a follow-up to questions or inconsistencies identified in the State evaluation process, further actions, which could include ES, might be required. The effectiveness of ES can be strengthened with improved sampling strategies and the use of all relevant

  5. Genetic visualization with an improved GCaMP calcium indicator reveals spatiotemporal activation of the spinal motor neurons in zebrafish

    Muto, Akira; Ohkura, Masamichi; Kotani, Tomoya; Higashijima, Shin-ichi; Nakai, Junichi; Kawakami, Koichi

    2011-01-01

    Animal behaviors are generated by well-coordinated activation of neural circuits. In zebrafish, embryos start to show spontaneous muscle contractions at 17 to 19 h postfertilization. To visualize how motor circuits in the spinal cord are activated during this behavior, we developed GCaMP-HS (GCaMP-hyper sensitive), an improved version of the genetically encoded calcium indicator GCaMP, and created transgenic zebrafish carrying the GCaMP-HS gene downstream of the Gal4-recognition sequence, UAS...

  6. Subunit-selective mutagenesis indicates minimal polymerase activity in heterodimer-associated p51 HIV-1 reverse transcriptase.

    Le Grice, S F; Naas, T; Wohlgensinger, B; Schatz, O

    1991-12-01

    We have purified and determined functional parameters of reconstituted, recombinant HIV-1 reverse transcriptase (RT) heterodimers within which either the p66 or p51 polypeptide was selectively mutated in one or both aspartic acid residues constituting the proposed polymerase active site (-Y-M-D-D-). Heterodimers containing a mutated p51 polypeptide retain almost wild type levels of both RNA-dependent DNA polymerase and ribonuclease H (RNaseH) activity. In contrast, heterodimers whose p66 polypeptide was likewise mutated exhibit wild type RNaseH activity but are deficient in RNA-dependent DNA polymerase activity. These results indicate that in heterodimer RT, the p51 component cannot compensate for active site mutations eliminating the activity of p66, indirectly implying that solely the p66 aspartic acid residues of heterodimer are crucial for catalysis. PMID:1718745

  7. Assessment of toxicity using dehydrogenases activity and mathematical modeling.

    Matyja, Konrad; Małachowska-Jutsz, Anna; Mazur, Anna K; Grabas, Kazimierz

    2016-07-01

    Dehydrogenase activity is frequently used to assess the general condition of microorganisms in soil and activated sludge. Many studies have investigated the inhibition of dehydrogenase activity by various compounds, including heavy metal ions. However, the time after which the measurements are carried out is often chosen arbitrarily. Thus, it can be difficult to estimate how the toxic effects of compounds vary during the reaction and when the maximum of the effect would be reached. Hence, the aim of this study was to create simple and useful mathematical model describing changes in dehydrogenase activity during exposure to substances that inactivate enzymes. Our model is based on the Lagergrens pseudo-first-order equation, the rate of chemical reactions, enzyme activity, and inactivation and was created to describe short-term changes in dehydrogenase activity. The main assumption of our model is that toxic substances cause irreversible inactivation of enzyme units. The model is able to predict the maximum direct toxic effect (MDTE) and the time to reach this maximum (TMDTE). In order to validate our model, we present two examples: inactivation of dehydrogenase in microorganisms in soil and activated sludge. The model was applied successfully for cadmium and copper ions. Our results indicate that the predicted MDTE and TMDTE are more appropriate than EC50 and IC50 for toxicity assessments, except for long exposure times. PMID:27021434

  8. Evaluation of a Global Vegetation Model using time series of satellite vegetation indices

    F. Maignan

    2011-12-01

    Full Text Available Atmospheric CO2 drives most of the greenhouse effect increase. One major uncertainty on the future rate of increase of CO2 in the atmosphere is the impact of the anticipated climate change on the vegetation. Dynamic Global Vegetation Models (DGVM are used to address this question. ORCHIDEE is such a DGVM that has proven useful for climate change studies. However, there is no objective and methodological way to accurately assess each new available version on the global scale. In this paper, we submit a methodological evaluation of ORCHIDEE by correlating satellite-derived Vegetation Index time series against those of the modeled Fraction of absorbed Photosynthetically Active Radiation (FPAR. A perfect correlation between the two is not expected, however an improvement of the model should lead to an increase of the overall performance.

    We detail two case studies in which model improvements are demonstrated, using our methodology. In the first one, a new phenology version in ORCHIDEE is shown to bring a significant impact on the simulated annual cycles, in particular for C3 Grasses and C3 Crops. In the second case study, we compare the simulations when using two different weather fields to drive ORCHIDEE. The ERA-Interim forcing leads to a better description of the FPAR interannual anomalies than the simulation forced by a mixed CRU-NCEP dataset. This work shows that long time series of satellite observations, despite their uncertainties, can identify weaknesses in global vegetation models, a necessary first step to improving them.

  9. The approach of Bayesian model indicates media awareness of medical errors

    Ravichandran, K.; Arulchelvan, S.

    2016-06-01

    This research study brings out the factors behind the increase in medical malpractices in the Indian subcontinent in the present day environment and impacts of television media awareness towards it. Increased media reporting of medical malpractices and errors lead to hospitals taking corrective action and improve the quality of medical services that they provide. The model of Cultivation Theory can be used to measure the influence of media in creating awareness of medical errors. The patient's perceptions of various errors rendered by the medical industry from different parts of India were taken up for this study. Bayesian method was used for data analysis and it gives absolute values to indicate satisfaction of the recommended values. To find out the impact of maintaining medical records of a family online by the family doctor in reducing medical malpractices which creates the importance of service quality in medical industry through the ICT.

  10. Combination of Cytokine Responses Indicative of Latent TB and Active TB in Malawian Adults

    Hur, Yun-Gyoung; Gorak-Stolinska, Patricia; Ben-Smith, Anne; Lalor, Maeve K.; Chaguluka, Steven; Dacombe, Russell; Doherty, T. Mark; Ottenhoff, Tom H.; Dockrell, Hazel M.; Crampin, Amelia C.

    2013-01-01

    Background An IFN-γ response to M. tuberculosis-specific antigens is an effective biomarker for M. tuberculosis infection but it cannot discriminate between latent TB infection and active TB disease. Combining a number of cytokine/chemokine responses to M. tuberculosis antigens may enable differentiation of latent TB from active disease. Methods Asymptomatic recently-exposed individuals (spouses of TB patients) were recruited and tuberculin skin tested, bled and followed-up for two years. Culture supernatants, from a six-day culture of diluted whole blood samples stimulated with M. tuberculosis-derived PPD or ESAT-6, were measured for IFN-γ, IL-10, IL-13, IL-17, TNF-α and CXCL10 using cytokine ELISAs. In addition, 15 patients with sputum smear-positive pulmonary TB were recruited and tested. Results Spouses with positive IFN-γ responses to M. tuberculosis ESAT-6 (>62.5 pg/mL) and TB patients showed high production of IL-17, CXCL10 and TNF-α. Higher production of IL-10 and IL-17 in response to ESAT-6 was observed in the spouses compared with TB patients while the ratios of IFN-γ/IL-10 and IFN-γ/IL-17 in response to M. tuberculosis-derived PPD were significantly higher in TB patients compared with the spouses. Tuberculin skin test results did not correlate with cytokine responses. Conclusions CXCL10 and TNF-α may be used as adjunct markers alongside an IFN-γ release assay to diagnose M. tuberculosis infection, and IL-17 and IL-10 production may differentiate individuals with LTBI from active TB. PMID:24260295

  11. Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part I: Models and indicators

    The diffusion of cogeneration and trigeneration plants as local generation sources could bring significant energy saving and emission reduction of various types of pollutants with respect to the separate production of electricity, heat and cooling power. The advantages in terms of primary energy saving are well established. However, the potential of combined heat and power (CHP) and combined cooling heat and power (CCHP) systems for reducing the emission of hazardous greenhouse gases (GHG) needs to be further investigated. This paper presents and discusses a novel approach, based upon an original indicator called trigeneration CO2emission reduction (TCO2ER), to assess the emission reduction of CO2 and other GHGs from CHP and CCHP systems with respect to the separate production. The indicator is defined in function of the performance characteristics of the CHP and CCHP systems, represented with black-box models, and of the GHG emission characteristics from conventional sources. The effectiveness of the proposed approach is shown in the companion paper (Part II: Analysis techniques and application cases) with application to various cogeneration and trigeneration solutions

  12. Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part I: Models and indicators

    Chicco, Gianfranco; Mancarella, Pierluigi [Dipartimento di Ingegneria Elettrica, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129, Torino (Italy)

    2008-03-15

    The diffusion of cogeneration and trigeneration plants as local generation sources could bring significant energy saving and emission reduction of various types of pollutants with respect to the separate production of electricity, heat and cooling power. The advantages in terms of primary energy saving are well established. However, the potential of combined heat and power (CHP) and combined cooling heat and power (CCHP) systems for reducing the emission of hazardous greenhouse gases (GHG) needs to be further investigated. This paper presents and discusses a novel approach, based upon an original indicator called trigeneration CO{sub 2} emission reduction (TCO{sub 2}ER), to assess the emission reduction of CO{sub 2} and other GHGs from CHP and CCHP systems with respect to the separate production. The indicator is defined in function of the performance characteristics of the CHP and CCHP systems, represented with black-box models, and of the GHG emission characteristics from conventional sources. The effectiveness of the proposed approach is shown in the companion paper (Part II: Analysis techniques and application cases) with application to various cogeneration and trigeneration solutions. (author)

  13. Soil gas measurements as an indicator of volcanic activity at Popocatepetl, Mexico

    Varley, N.R.; Armienta, M.A. [Inst. de Geofisica, Circuito Cientifico (Mexico)

    1999-08-01

    Recently Popocatepetl has commenced a new active phase with several explosive events producing ash falls at large variation. For a better understanding of the processes occurring within the volcano, as well as its structure, further data of different types is required. This study will include an extensive program of soil gas measurements, including radon, carbon dioxide, methane and helium. A comparison will be made with seismic and groundwater and ash geochemical data. One goal will be an improved understanding of the mechanism whereby seismic events influence the concentration of soil gases, which is not currently well understood. Here the preliminary data are presented.

  14. Soil gas measurements as an indicator of volcanic activity at Popocatepetl, Mexico

    Recently Popocatepetl has commenced a new active phase with several explosive events producing ash falls at large variation. For a better understanding of the processes occurring within the volcano, as well as its structure, further data of different types is required. This study will include an extensive program of soil gas measurements, including radon, carbon dioxide, methane and helium. A comparison will be made with seismic and groundwater and ash geochemical data. One goal will be an improved understanding of the mechanism whereby seismic events influence the concentration of soil gases, which is not currently well understood. Here the preliminary data are presented

  15. Use of the indicator activation method in studies of the propagation of pollutants in the atmosphere

    The pollution of the atmosphere near ground level with various noxal substances, originating in industrial irradiation centres and in connection with the generation of nuclear power, has recently prompted detailed investigations of the propagation of aerosols, taking into account the roughness of the terrain and the vegetation. For this purpose pyrotechnic aerosols have been developed, labelled with an easily activated element, which can be released at any point in the atmosphere in the form of pulsed, linear or paint sources for propagation investigations. The paper reports on experiments over terrain with various types of natural vegetation. (orig.)

  16. Improved Infrared-Sensing Running Wheel Systems with an Effective Exercise Activity Indicator

    Chen, Chi-Chun; Chang, Ming-Wen; Chang, Ching-Ping; Chang, Wen-Ying; Chang, Shin-Chieh; Lin, Mao-Tsun; Yang, Chin-Lung

    2015-01-01

    This paper describes an infrared-sensing running wheel (ISRW) system for the quantitative measurement of effective exercise activity in rats. The ISRW system provides superior exercise training compared with commercially available traditional animal running platforms. Four infrared (IR) light-emitting diode/detector pairs embedded around the rim of the wheel detect the rat’s real-time position; the acrylic wheel has a diameter of 55 cm and a thickness of 15 cm, that is, it is larger and thick...

  17. Plasma amylase activity as a biochemical indicator of radiation injury to salivary glands

    Irradiation of the salivary glands produces a rapid increase of salivary amylase in serum, released by the highly radiation sensitive serous cells of the glands. Serial assays of salivary amylase in serum were performed in patients treated by radiation to the upper neck region. The changes observed were compared with the amount of salivary gland mass irradiated and with the dose fractionation modality used. The irradiated volume included either the entire salivary gland mass or less than 50 per cent of the gland. Two fractionation modalities were used: a conventional fractionation of 2 Gy per day, 5 times a week, or a multiple daily fractionation of 2 Gy, 3 times a day in two series of 4 days with a 4-day interval. Both parameters (salivary gland mass irradiated and fractionation modality used) significantly influenced the shape of the amylase curve in the serum. Serum amylase may therefore be considered a reliable biologic indicator of early injury to the salivary glands. (Auth.)

  18. Plasma amylase activity as a biochemical indicator of radiation injury to salivary glands

    Becciolini, A.; Giannardi, G.; Cionini, L.; Porciani, S.; Fallai, C.; Pirtoli, L. (Florence Univ. (Italy). Ist. di Radiologia)

    1984-01-01

    Irradiation of the salivary glands produces a rapid increase of salivary amylase in serum, released by the highly radiation sensitive serous cells of the glands. Serial assays of salivary amylase in serum were performed in patients treated by radiation to the upper neck region. The changes observed were compared with the amount of salivary gland mass irradiated and with the dose fractionation modality used. The irradiated volume included either the entire salivary gland mass or less than 50 per cent of the gland. Two fractionation modalities were used: a conventional fractionation of 2 Gy per day, 5 times a week, or a multiple daily fractionation of 2 Gy, 3 times a day in two series of 4 days with a 4-day interval. Both parameters (salivary gland mass irradiated and fractionation modality used) significantly influenced the shape of the amylase curve in the serum. Serum amylase may therefore be considered a reliable biologic indicator of early injury to the salivary glands.

  19. Structural Models for the Design of PKMzeta Inhibitors with Neurobiological Indications.

    Purkayastha, Priyanka; Alokam, Reshma; Malapati, Aruna; Sriram, Dharmarajan; Yogeeswari, Perumal

    2015-10-01

    An atypical protein kinase C, PKMzeta has become an attractive target for various neurological disorders including long term potentiation, cognition, neuropathic pain and cancer. Drug discovery efforts have been hindered due to the non-availability of the protein structure and hence in the present study we attempted to build the open and closed models of the protein PKMzeta using homology modeling. The models were then used to identify PKMzeta inhibitors utilizing a high-throughput virtual screening protocol from a large commercial chemical database. Compounds were selected based on the binding interactions and Glide score. Compounds were then subjected to in vitro luminescent based kinase assay for their inhibitory activity on targeted protein. Seven compounds exhibited IC50 s less than or equal to 10 µM. Cell based assays revealed that Lead C3 and Lead C6 exhibited selectivity towards methylmercury treated neuroblastoma growth inhibition and suppressed reactive oxygen species with IC50 s of 0.89 and 0.17 µM, respectively. Furthermore, Lead C3 exhibited attenuation of proinflammatory response with least energy in dynamic simulation studies and thus emerged as a prototypical lead for further development as novel inhibitor of PKMzeta for neurological implications. PMID:27490967

  20. Calcaneal Quantitative Ultrasound Indicates Reduced Bone Status Among Physically Active Adult Forager-Horticulturalists.

    Stieglitz, Jonathan; Madimenos, Felicia; Kaplan, Hillard; Gurven, Michael

    2016-03-01

    Sedentary lifestyle contributes to osteoporosis and fragility fracture risks among modern humans, but whether such risks are prevalent in physically active preindustrial societies with lower life expectancies is unclear. Osteoporosis should be readily observable in preindustrial societies if it was regularly experienced over human history. In this study of 142 older adult Tsimane forager-horticulturalists (mean age ± SD, 62.1 ± 8.6 years; range, 50 to 85 years; 51% female) we used calcaneal quantitative ultrasonography (qUS) to assess bone status, document prevalence of adults with reduced bone status, and identify factors (demographic, anthropometric, immunological, kinesthetic) associated with reduced bone status. Men (23%) are as likely as women (25%) to have reduced bone status, although age-related decline in qUS parameters is attenuated for men. Adiposity and fat-free mass positively co-vary with qUS parameters for women but not men. Leukocyte count is inversely associated with qUS parameters controlling for potential confounders; leukocyte count is positively correlated within adults over time, and adults with persistently low counts have higher adjusted qUS parameters (6% to 8%) than adults with a high count. Reduced bone status characteristic of osteoporosis is common among active Tsimane with minimal exposure to osteoporosis risk factors found in industrialized societies, but with energetic constraints and high pathogen burden. © 2015 American Society for Bone and Mineral Research. PMID:26460548

  1. The effects of digital elevation model resolution on the calculation and predictions of topographic wetness indices.

    Drover, Damion, Ryan

    2011-12-01

    One of the largest exports in the Southeast U.S. is forest products. Interest in biofuels using forest biomass has increased recently, leading to more research into better forest management BMPs. The USDA Forest Service, along with the Oak Ridge National Laboratory, University of Georgia and Oregon State University are researching the impacts of intensive forest management for biofuels on water quality and quantity at the Savannah River Site in South Carolina. Surface runoff of saturated areas, transporting excess nutrients and contaminants, is a potential water quality issue under investigation. Detailed maps of variable source areas and soil characteristics would therefore be helpful prior to treatment. The availability of remotely sensed and computed digital elevation models (DEMs) and spatial analysis tools make it easy to calculate terrain attributes. These terrain attributes can be used in models to predict saturated areas or other attributes in the landscape. With laser altimetry, an area can be flown to produce very high resolution data, and the resulting data can be resampled into any resolution of DEM desired. Additionally, there exist many maps that are in various resolutions of DEM, such as those acquired from the U.S. Geological Survey. Problems arise when using maps derived from different resolution DEMs. For example, saturated areas can be under or overestimated depending on the resolution used. The purpose of this study was to examine the effects of DEM resolution on the calculation of topographic wetness indices used to predict variable source areas of saturation, and to find the best resolutions to produce prediction maps of soil attributes like nitrogen, carbon, bulk density and soil texture for low-relief, humid-temperate forested hillslopes. Topographic wetness indices were calculated based on the derived terrain attributes, slope and specific catchment area, from five different DEM resolutions. The DEMs were resampled from LiDAR, which is a

  2. Glomerular C3c localization indicates ongoing immune deposit formation and complement activation in experimental glomerulonephritis.

    Schulze, M.; Pruchno, C. J.; Burns, M.; Baker, P. J.; R. J. Johnson; Couser, W G

    1993-01-01

    In antibody-mediated glomerular disease, deposits of C3 (C3b) are common and are degraded by factor I to C3c and C3d. However, the kinetics of C3b degradation in glomerulonephritis have not been defined. To do this, we studied three models of complement-dependent glomerulonephritis with established C3 deposits (passive Heymann nephritis, cationized immunoglobulin G membranous nephropathy, and concanavalin A-anticoncanavalin A glomerulonephritis). C3b deposition was halted by administration of...

  3. Learning models of activities involving interacting objects

    Manfredotti, Cristina; Pedersen, Kim Steenstrup; Hamilton, Howard J.; Zilles, Sandra

    We propose the LEMAIO multi-layer framework, which makes use of hierarchical abstraction to learn models for activities involving multiple interacting objects from time sequences of data concerning the individual objects. Experiments in the sea navigation domain yielded learned models that were...

  4. Learning models of activities involving interacting objects

    Manfredotti, Cristina; Pedersen, Kim Steenstrup; Hamilton, Howard J.;

    2013-01-01

    We propose the LEMAIO multi-layer framework, which makes use of hierarchical abstraction to learn models for activities involving multiple interacting objects from time sequences of data concerning the individual objects. Experiments in the sea navigation domain yielded learned models that were...

  5. Waste indicators

    The Waste Indicator Project focuses on methods to evaluate the efficiency of waste management. The project proposes the use of three indicators for resource consumption, primary energy and landfill requirements, based on the life-cycle principles applied in the EDIP Project. Trial runs are made With the indicators on paper, glass packaging and aluminium, and two models are identified for mapping the Danish waste management, of which the least extensive focuses on real and potential savings. (au)

  6. Waste indicators

    Dall, O.; Lassen, C.; Hansen, E. [Cowi A/S, Lyngby (Denmark)

    2003-07-01

    The Waste Indicator Project focuses on methods to evaluate the efficiency of waste management. The project proposes the use of three indicators for resource consumption, primary energy and landfill requirements, based on the life-cycle principles applied in the EDIP Project. Trial runs are made With the indicators on paper, glass packaging and aluminium, and two models are identified for mapping the Danish waste management, of which the least extensive focuses on real and potential savings. (au)

  7. Effect of Epistemic Uncertainty Modeling Approach on Decision-Making: Example using Equipment Performance Indicator

    Dana Kelly; Robert Youngblood

    2012-06-01

    Quantitative risk assessments are an integral part of risk-informed regulation of current and future nuclear plants in the U.S. The Bayesian approach to uncertainty, in which both stochastic and epistemic uncertainties are represented with precise probability distributions, is the standard approach to modeling uncertainties in such quantitative risk assessments. However, there are long-standing criticisms of the Bayesian approach to epistemic uncertainty from many perspectives, and a number of alternative approaches have been proposed. Among these alternatives, the most promising (and most rapidly developing) would appear to be the concept of imprecise probability. In this paper, we employ a performance indicator example to focus the discussion. We first give a short overview of the traditional Bayesian paradigm and review some its controversial aspects, for example, issues with so-called noninformative prior distributions. We then discuss how the imprecise probability approach treats these issues and compare it with two other approaches: sensitivity analysis and hierarchical Bayes modeling. We conclude with some practical implications for risk-informed decision making.

  8. Mapping crop evapotranspiration by integrating vegetation indices into a soil water balance model

    Consoli, Simona; Vanella, Daniela

    2015-04-01

    The approach combines the basal crop coefficient (Kcb) derived from vegetation indices (VIs) with the daily soil water balance, as proposed in the FAO-56 paper, to estimate daily crop evapotranspiration (ETc) rates of orange trees. The reliability of the approach to detect water stress was also assessed. VIs were simultaneously retrieved from WorldView-2 imagery and hyper-spectral data collected in the field for comparison. ETc estimated were analysed at the light of independent measurements of the same fluxes by an eddy covariance (EC) system located in the study area. The soil water depletion in the root zone of the crop simulated by the model was also validated by using an in situ soil water monitoring. Average overestimate of daily ETc of 6% was obtained from the proposed approach with respect to EC measurements, evidencing a quite satisfactory agreement between data. The model also detected several periods of light stress for the crop under study, corresponding to an increase of the root zone water deficit matching quite well the in situ soil water monitoring. The overall outcomes of this study showed that the FAO-56 approach with remote sensing-derived basal crop coefficient can have the potential to be applied for estimating crop water requirements and enhancing water management strategies in agricultural contexts.

  9. Method and apparatus for active tamper indicating device using optical time-domain reflectometry

    An optical time-domain reflectometer (OTDR) launches pulses of light into a link or a system of multiplexed links and records the waveform of pulses reflected by the seals in the link(s). If a seal is opened, the link of cables will become a discontinuous transmitter of the light pulses and the OTDR can immediately detect that a seal has been opened. By analyzing the waveform, the OTDR can also quickly determine which seal(s) were opened. In this way the invention functions as a system of active seals. The invention is intended for applications that require long-term surveillance of a large number of closures. It provides immediate tamper detection, allows for periodic access to secured closures, and can be configured for many different distributions of closures. It can monitor closures in indoor and outdoor locations and it can monitor containers or groups of containers located many kilometers apart

  10. Sugarcane Water Sustainability Assessment Through the Indicators Extracted from Spatial Models: Case Study of Sugarcane Expansion Hotspots in Brazil

    Ferraz, R. P.; Simoes, M.; Dubreuil, V.

    2012-12-01

    The CanaSat project data from INPE (2010) has evidenced the trend of sugarcane expansion into savanna areas in the Midwest region of Brazil that has a great potential for the sugarcane development, in terms of topography and suitable soils, according to Sugarcane Agroecological Zoning (EMBRAPA, 2009). However, in this region the climatic water availability has limitations, once the climate is marked by drought season with a strong water deficiency due to reduction of rainfall (SILVA et al. 2008). There may be serious risks to the sugarcane culture conducted in dryland crop system without any support from additional irrigation. Silva et al. (2008) state that, for the expansion of sugarcane cultivation in the Cerrado region will be necessary supplemental irrigation with 80 to 120 mm of water applied after cutting or planting. In the Brazilian Midwest the sugarcane agroindustry expansion is technically viable, but for the sustainable development of this activity it is necessary an adequate planning based on knowledge about water demand and availability. The aim of this study was to conduct an assessment of the potential water sustainability for the sugarcane cultivation in four microregions in Goiás State, Brazil, through the use of indicators proposed in Indicators System of Sugarcane Water Sustainability Assessment (Ferraz, 2012), that was thought to subsidize the public policies proposals and sectoral planning in strategic level by means of indicators that enable to perform diagnostic and prognostic analysis. These indicators are direct and relevant indexes obtained from data extracted through geoprocessing techniques from integration of many spatial models. The used indicators were: (i) Three indexes expressing the land favorability for sugarcane development conducted in dryland or irrigation system through the establishment of the ratio between the sugarcane suitable area for each different system and the total area of territorial unit of analysis (micro

  11. A review of Ramadan fasting and regular physical activity on metabolic syndrome indices

    Seyyed Reza Attarzadeh Hosseini

    2016-03-01

    Full Text Available Introduction: Metabolic syndrome constitutes a cluster of risk factors such as obesity, hyperglycemia,  hypertension, and dyslipidemia, which increase the risk of cardiovascular diseases and type II diabetes mellitus. In this review article, we aimed to discuss the possible effects of fasting and regular physical activity on risk factors for cardiovascular diseases.  Methods: Online databases including Google Scholar, SID, PubMed, and MagIran were searched, using the following keywords:  “training”, “exercise”, “physical activity”, “fasting”, “Ramadan”, “metabolic syndrome”, “fat percentage”, “blood pressure”, “blood sugar”, “cholesterol”, “triglyceride”, and “lowdensity lipoprotein-cholesterol”. All articles including research studies, review articles, descriptive and analytical studies, and ross-sectional research, published during 2006-2015, were reviewed. In case of any errors in the methodologyof articles, they were removed from our analysis. Results:Based on our literature review, inconsistent findings have been reported on risk factors formetabolic syndrome. However, the majority of conducted studies have suggested the positive effects offasting on reducing the risk factors for metabolic syndrome. Conclusion: Although fasting in different seasons of the year has no significant impacts on mental health or physical fitness, it can reduce the risk of various diseases such as cardiovascular diseases. Also, based on the conducted studies, if individuals adhere to a proper diet, avoid excessive eating, drink sufficient amounts of fluids, and keep a healthy level of physical activity, fasting can improve their physical health.

  12. Modelling the Active Hearing Process in Mosquitoes

    Avitabile, Daniele; Homer, Martin; Jackson, Joe; Robert, Daniel; Champneys, Alan

    2011-11-01

    A simple microscopic mechanistic model is described of the active amplification within the Johnston's organ of the mosquito species Toxorhynchites brevipalpis. The model is based on the description of the antenna as a forced-damped oscillator coupled to a set of active threads (ensembles of scolopidia) that provide an impulsive force when they twitch. This twitching is in turn controlled by channels that are opened and closed if the antennal oscillation reaches a critical amplitude. The model matches both qualitatively and quantitatively with recent experiments. New results are presented using mathematical homogenization techniques to derive a mesoscopic model as a simple oscillator with nonlinear force and damping characteristics. It is shown how the results from this new model closely resemble those from the microscopic model as the number of threads approach physiologically correct values.

  13. AMBI indices and multivariate approach to assess the ecological health of Vellar-Coleroon estuarine system undergoing various human activities.

    Sigamani, Sivaraj; Perumal, Murugesan; Arumugam, Silambarasan; Preetha Mini Jose, H M; Veeraiyan, Bharathidasan

    2015-11-15

    Estuaries receive a considerable amount of pollutants from various sources. Presently an attempt has been made to assess whether the aquaculture discharges and dredging activities alter the ecological conditions of Vellar-Coleroon estuarine complex. The European Water Framework Directive (WFD) established a framework for the protection of marine waters. In this commission, a variety of indices were used, among them, AMBI (AZTI Marine Biotic Index) indices along with multivariate statistical approach is unique, to assess the ecological status by using macrobenthic communities. Keeping this in view, stations VE-1 and VE-4 in Vellar; CE-6 and CE-7 in Coleroon estuaries showed moderately disturbed with the AMBI values ranging between 3.45 and 3.72. The above said stations were situated near the shrimp farm discharge point and sites of dredging activities. The present study proves that various statistical and biotic indices have great potential in assessing the nature of the ecosystem undergoing various human pressures. PMID:26323865

  14. QSAR MODELING OF ANTIBACTERIAL ACTIVITY OF SOME BENZIMIDAZOLE DERIVATIVES

    SANJA O. PODUNAVAC-KUZMANOVIĆ

    2011-03-01

    Full Text Available A quantitative structure-activity relationship (QSAR study has been carried out for a training set of 12 benzimidazole derivatives to correlate and predict the antibacterial activity of studied compounds against Gram-negative bacteria Pseudomonas aeruginosa. Multiple linear regression was used to select the descriptors and to generate the best prediction model that relates the structural features to inhibitory activity. The predictivity of the model was estimated by cross-validation with the leave-one-out method. Our results suggest a QSAR model based on the following descriptors: parameter of lipophilicity (logP and hydration energy (HE. Good agreement between experimental and predicted inhibitory values, obtained in the validation procedure, indicated the good quality of the generated QSAR model.

  15. Myxozoan infections of caecilians demonstrate broad host specificity and indicate a link with human activity.

    Hartigan, Ashlie; Wilkinson, Mark; Gower, David J; Streicher, Jeffrey W; Holzer, Astrid S; Okamura, Beth

    2016-05-01

    Myxozoans are parasitic cnidarians that infect a wide variety of hosts. Vertebrates typically serve as intermediate hosts whereas definitive hosts are invertebrates, including annelids and bryozoans. Myxozoans are known to exploit species in two of the three extant amphibian orders (Anura: frogs and toads; Caudata: newts and salamanders). Here we use museum collections to determine, to our knowledge for the first time, whether myxozoans also exploit the third amphibian order (Gymnophiona: caecilians). Caecilians are a poorly known group of limbless amphibians, the ecologies of which range from aquatic to fully terrestrial. We examined 12 caecilian species in seven families (148 individuals total) characterised by a diversity of ecologies and life histories. Using morphological and molecular surveys, we discovered the presence of the myxozoan Cystodiscus axonis in two South American species (one of seven examined families) of aquatic caecilians - Typhlonectes natans and Typhlonectes compressicauda. All infected caecilians had been maintained in captivity in the United Kingdom prior to their preservation. Cystodiscus axonis is known from several Australian frog species and its presence in caecilians indicates a capacity for infecting highly divergent amphibian hosts. This first known report of myxozoan infections in caecilians provides evidence of a broad geographic and host range. However, the source of these infections remains unknown and could be related to exposure in South America, the U.K. or to conditions in captivity. PMID:26945641

  16. The halogen⋯oxygen interaction in 3-halogenopropenal revisited – The dimer model vs. QTAIM indications

    Highlights: ► The dimer model was built in order to estimate the interaction energy. ► Positive (repulsive) interaction energy was found based on the dimer model. ► Values of QTAIM parameters remain unchanged if CX⋯OC fragment is embedded in a dimer. ► CT between X and O atoms is in opposite direction than in a halogen bond. ► X and O atoms are interacting with negative sites of MEP. - Abstract: Even though a bond path and the corresponding bond critical point were found for the intramolecular X⋯O (X = Cl, Br) interaction in 3-halogenopropenal, thus according to QTAIM suggesting the stabilizing nature of this interaction, it was shown that this contact is repulsive. In order to utilize the well-defined energy of the intermolecular interaction, a dimer model was used. The C–X⋯O=C fragment from the ZZ conformer of 3-halogenopropenal was preserved with its original geometrical arrangement. Such approach leads to the conclusion according to which the presence of a bond path and the corresponding bond critical point do not necessarily indicate a stabilizing interaction between a pair of atoms, but rather is a direct consequence of a large accumulation of the electron density between atoms. Values of QTAIM parameters characterizing both BCP of X⋯O and RCP remain rather unchanged if the C–X⋯O=C fragment with its preserved geometry is embedded in a dimer. It was also shown that atoms X and O are interacting by negative surfaces of the molecular electrostatic potential. Also the charge transfer between interacting fragments is opposite to expected

  17. SMALL MAMMALS: CONSEQUENCES OF STOCHASTIC DATA VARIATION FOR MODELING INDICATORS OF HABITAT SUITABILITY FOR A WELL-STUDIED RESOURCE

    Increasingly, models of physical habitat variables (i.e. vegetation, soil) are utilized as indicators of small mammal habitat suitability or quality. Presumably, use of physical habitat models indicating habitat suitability or quality would be improved and enhanced by the extens...

  18. Active Gel Model of Amoeboid Cell Motility

    Callan-Jones, A C

    2013-01-01

    We develop a model of amoeboid cell motility based on active gel theory. Modeling the motile apparatus of a eukaryotic cell as a confined layer of finite length of poroelastic active gel permeated by a solvent, we first show that, due to active stress and gel turnover, an initially static and homogeneous layer can undergo a contractile-type instability to a polarized moving state in which the rear is enriched in gel polymer. This agrees qualitatively with motile cells containing an actomyosin-rich uropod at their rear. We find that the gel layer settles into a steadily moving, inhomogeneous state at long times, sustained by a balance between contractility and filament turnover. In addition, our model predicts an optimal value of the gel-susbstrate adhesion leading to maximum layer speed, in agreement with cell motility assays. The model may be relevant to motility of cells translocating in complex, confining environments that can be mimicked experimentally by cell migration through microchannels.

  19. Modeling of Activated Sludge Floc Characteristics

    Ibrahim H. Mustafa

    2009-01-01

    Full Text Available Problem Statement: The activated sludge system needs to improve the operational performance and to achieve more effective control. To realize this, a better quantitative understanding of the biofloc characteristics is required. The objectives of this study were to: (i Study the biofloc characteristics from kinetics-mass transfer interaction point of view by quantification of the weight of the aerobic portion of the activated sludge floc to the total floc weight. (ii Study the effect of bulk concentrations of oxygen and nitrates, power input and substrates diffusivity on the portion aerobic portion of the floc. Approach: An appropriate mathematical model based on heterogeneous modeling is developed for activated sludge flocs. The model was taking into account three growth processes: Carbon oxidation, nitrification and de-nitrification in terms of four components: substrate, nitrate, ammonia, and oxygen. The model accounts for the internal and external mass transfer limitations and relates the external mass transfer resistance with power input. The floc model equations were two- point boundary value differential equations. Therefore a central finite difference method is employed. Results: The percentage aerobic portion increased with increasing with oxygen bulk concentrations and power input and decreases when the bulk concentration of ammonia and substrate increases. Both will compete to consume the internal oxygen by autotrophic and heterotrophic bacteria through aerobic growth processes. The biofloc activity through the profiles was either totally active or partially active. The totally active biofloc is either totally aerobic or aerobic and anoxic together. Conclusions: The heterogeneous floc model was able to describe the biofloc characteristics and reflects the real phenomena existing in the activated sludge processes.

  20. Cocoa Extract Indicated Has Activity on Selectively Killing Breast Cancer Cells

    Ariza Budi Tunjung Sari

    2015-09-01

    Full Text Available Effect of the cocoa crude extract on mortality of breast cancer cell lines i.e. MCF-7, T47D and normal cell (Vero, was observed. Crude cocoa extract prepared from a freshly dried cocoa bean that was containing 14% catechin and 0.6% caffeine. Catechin and caffeine content were modulated to 2-folds (28% catechin or 1.2% caffeine and 3-folds (42% catechin or 1.8% caffeine by adding pure compounds. Extracts were dissolved in dimethylsulfoxide (DMSO at concentrations ranging from 200 to 1600 μg/ml. The positive control was doxorubicin (0.5-16 μg/ml in DMSO. Cell lines (MCF-7, T47D, and Vero were incubated in test sample for 24h at 37°, prior to 3-(4,4-dimetylthiazole-2-yl-2,5-diphenyltetrazolium bromide (MTT assay. The absorbance of each well was measured at 550 nm, and lethal concentration (LC50 was calculated. The cocoa extract induced mortality of breast cancer cell lines but not in Vero cells. The effect on MCF-7 was greater than on T47D, given the LC50 was 1236 μg/ml (MCF-7 and 1893 μg/ml (T47D. Cytotoxic potential of cocoa extract was much lower than doxorubicin whose LC50 was 0,777 μg/ml (MCF-7 and 0,082 μg/ml (T47D. Increasing catechin content to 2-folds did not significantly affect LC50 value, but 3-folds catechin content reduced LC50 to 1021 μg/ml. Meanwhile increasing caffeine content to 2-folds significantly reduced LC50 to 750 μg/ml, however, 3-fold content resulted in slightly higher LC50 at 780 μg/ml. This indicates that cocoa extract have anti-cancer potential, and purification may improve this property.

  1. ASSESSING SOIL RESPIRATION AS AN INDICATOR OF SOIL MICROBIAL ACTIVITY IN RECLAIMED METAL CONTAMINATED LANDS

    Kassandre Goupil

    2014-01-01

    Full Text Available Mining, roasting as well as smelting of these elements have caused sulphur dioxide fumigations and metal particulate depositions which have led to various detrimental effects on the overall environmental quality of the Greater Sudbury region. Soil amendment and revegetation within the Greater Sudbury Region were initiated to restore the damage land. Several methods have been used to assess the progress made toward full ecosystem recovery. Soil respiration rates are particularly critical in the assessment of soil health. They reflect the complete extent of biological activity of living microorganisms in the soil. Bacterial and fungal the main biological soil components are functionally important and must be properly determined. The objective of the present study was to measure soil respiration and health in limed and unlimed areas in the Northern Ontario (Canada region. The results confirm that the liming did maintain an increase in soil pH from extremely acid to slightly acid, even 30 to 40 years after dolostone applications. Fungi were more abundant in limed sites compared to unlimed areas. Soil respiration based on CO2 rate followed the same trend. Respiration rates for the reference sites were similar to those documented for the limed areas. Summer soil respiration rates were associated (r = 0.50 with total fungal abundance in the targeted sites. Overall, the Solvita test of assessing soil respiration and determining microbial mass and soil quality is a reliable and cost effective method.

  2. Peroxidase activity as an indicator of exposure of wetland seedlings to metals

    Sutton, H.D.; Klaine, S.J. [Clemson Univ., Pendleton, SC (United States)

    1995-12-31

    The enzyme peroxidase has been found to increase quantitatively in several aquatic plant species in response to increasing exposure to various contaminants. In this study, a number of wetland species are tested for their usefulness as bioindicators of metal exposure using the peroxidase assay. Woody species tested include Liquidambar styraciflua (sweetgum), Fraxinus pennsylvanica (green ash), and Cephalanthus occidentalis (buttonbush), while herbaceous species include Saururus cernuus (lizard`s tail) and Sparganium americanum (bur-reed). The assay has been optimized for all of these species. In all cases the pH optimum has been found to be either 5.5 or 6.0 and the substrate optimum is 2.8 or 1.4mM hydrogen peroxide. There is considerable variation in baseline peroxidase activity among the species when tested under their optimal assay conditions. These species are being dosed with copper, nickel, and cadmium in order to determine whether a response elicited. Seedlings will be dosed using both petri dish culture conditions and test tubes filled with vermiculite and sand combinations. The peroxidase response will be compared to germination and root elongation endpoints. Lettuce (Lactuca saliva) and radish (Raphanus sativus) are being tested alongside the wetland species as reference organisms for which background data is available. The wetland species tested in the present study have rarely if ever been used in toxicological studies.

  3. Managing CSCL Activity through networking models

    Luis Casillas

    2014-04-01

    Full Text Available This study aims at managing activity carried out in Computer-Supported Collaborative Learning (CSCL environments. We apply an approach that gathers and manages the knowledge underlying huge data structures, resulting from collaborative interaction among participants and stored as activity logs. Our method comprises a variety of important issues and aspects, such as: deep understanding of collaboration among participants in workgroups, definition of an ontology for providing meaning to isolated data manifestations, discovering of knowledge structures built in huge amounts of data stored in log files, and development of high-semantic indicators to describe diverse primitive collaborative acts, and binding these indicators to formal descriptions defined in the collaboration ontology; besides our method includes gathering collaboration indicators from web forums using natural language processing (NLP techniques.

  4. Hydrogen as an Indicator to Assess Biological Activity During Trace-Metal Bioremediation

    Jaffe, P. R.; Komlos, J.; Brown, D. G.; Lovley, D. R.

    2002-05-01

    The design and operation of a trace-metal or radionuclide bioremediation scheme requires that specific redox conditions be achieved at given zones of an aquifer for a predetermined duration. Tools are therefore needed to identify and quantify the terminal electron acceptor processes (TEAPs) that are being achieved during bioremediation in an aquifer, and that this is done at a high spatial resolution. Hydrogen holds the promise of being a key parameter that may be used to identify TEAPs. Theoretical analysis have shown that steady-state hydrogen levels in the subsurface are solely dependent upon the physiological parameters of the hydrogen-consuming microorganisms, and that hydrogen concentrations increase as each successive TEAP yields less energy for bacterial growth. The assumptions for this statement may not hold during a bioremediation scheme in which an organic substrate is injected into the subsurface and where organisms may consume hydrogen and carbon simultaneously. The objective of the research is to gain a basic understanding of the hydrogen dynamics in an aquifer during a trace metal/radionuclide bioremediation scheme. For this purpose, a series of batch studies have been conducted during the first year of this project. In these studies the utilization of acetate and hydrogen by geobacter sulfurreducens were studied. In all cases Fe(III) was the electron acceptor. Microcosms were set up to investigate the utilization of hydrogen and acetate when either of them is the sole electron donor and when both are present and utilized simultaneously as electron donor. These experiments were conducted for varying initial conditions of the hydrogen and acetate concentration, and the disappearance of these compounds plus the evolution of Fe(II) as well as biomass was monitored over time. The results of these studies indicate that the biokinetic coefficients describing the rate of hydrogen utilization are not affected by the simultaneous utilization of acetate. While

  5. Global epigenomic analysis indicates protocadherin-7 activates osteoclastogenesis by promoting cell–cell fusion

    Highlights: • Identification of epigenetically regulated genes during osteoclastogenesis. • Pcdh7 is regulated by H3K4me3 and H3K27me3 during osteoclastogenesis. • Pcdh7 expression is increased by RANKL during osteoclastogenesis. • Establishment of novel cell fusion analysis for osteoclasts by imaging cytometer. • Pcdh7 regulates osteoclastogenesis by promoting cell fusion related gene expressions. - Abstract: Gene expression is dependent not only on genomic sequences, but also epigenetic control, in which the regulation of chromatin by histone modification plays a crucial role. Histone H3 lysine 4 trimethylation (H3K4me3) and histone H3 lysine 27 trimethylation (H3K27me3) are related to transcriptionally activated and silenced sequences, respectively. Osteoclasts, the multinucleated cells that resorb bone, are generated by the fusion of precursor cells of monocyte/macrophage lineage. To elucidate the molecular and epigenetic regulation of osteoclast differentiation, we performed a chromatin immunoprecipitation sequencing (ChIP-seq) analysis for H3K4me3 and H3K27me3 in combination with RNA sequencing. We focused on the histone modification change from H3K4me3(+)H3K27me3(+) to H3K4me3(+)H3K27me3(–) and identified the protocadherin-7 gene (Pcdh7) to be among the genes epigenetically regulated during osteoclastogenesis. Pcdh7 was induced by RANKL stimulation in an NFAT-dependent manner. The knockdown of Pcdh7 inhibited RANKL-induced osteoclast differentiation due to the impairment of cell–cell fusion, accompanied by a decreased expression of the fusion-related genes Dcstamp, Ocstamp and Atp6v0d2. This study demonstrates that Pcdh7 plays a key role in osteoclastogenesis by promoting cell–cell fusion

  6. Global epigenomic analysis indicates protocadherin-7 activates osteoclastogenesis by promoting cell–cell fusion

    Nakamura, Haruhiko [Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033 (Japan); Department of Cell Signaling, Graduate School of Medical and Dental Science, Tokyo Medical and Dental University, Yushima 1-5-45, Bunkyo-ku, Tokyo 113-8549 (Japan); Nakashima, Tomoki [Department of Cell Signaling, Graduate School of Medical and Dental Science, Tokyo Medical and Dental University, Yushima 1-5-45, Bunkyo-ku, Tokyo 113-8549 (Japan); Japan Science and Technology Agency, PRESTO, Yushima 1-5-45, Bunkyo-ku, Tokyo 113-8549 (Japan); Hayashi, Mikihito [Department of Cell Signaling, Graduate School of Medical and Dental Science, Tokyo Medical and Dental University, Yushima 1-5-45, Bunkyo-ku, Tokyo 113-8549 (Japan); Japan Science and Technology Agency, ERATO, Takayanagi Osteonetwork Project, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033 (Japan); Izawa, Naohiro; Yasui, Tetsuro [Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033 (Japan); Aburatani, Hiroyuki [Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo 153-8904 (Japan); Tanaka, Sakae [Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033 (Japan); Takayanagi, Hiroshi, E-mail: takayana@m.u-tokyo.ac.jp [Japan Science and Technology Agency, ERATO, Takayanagi Osteonetwork Project, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033 (Japan); Department of Immunology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033 (Japan)

    2014-12-12

    Highlights: • Identification of epigenetically regulated genes during osteoclastogenesis. • Pcdh7 is regulated by H3K4me3 and H3K27me3 during osteoclastogenesis. • Pcdh7 expression is increased by RANKL during osteoclastogenesis. • Establishment of novel cell fusion analysis for osteoclasts by imaging cytometer. • Pcdh7 regulates osteoclastogenesis by promoting cell fusion related gene expressions. - Abstract: Gene expression is dependent not only on genomic sequences, but also epigenetic control, in which the regulation of chromatin by histone modification plays a crucial role. Histone H3 lysine 4 trimethylation (H3K4me3) and histone H3 lysine 27 trimethylation (H3K27me3) are related to transcriptionally activated and silenced sequences, respectively. Osteoclasts, the multinucleated cells that resorb bone, are generated by the fusion of precursor cells of monocyte/macrophage lineage. To elucidate the molecular and epigenetic regulation of osteoclast differentiation, we performed a chromatin immunoprecipitation sequencing (ChIP-seq) analysis for H3K4me3 and H3K27me3 in combination with RNA sequencing. We focused on the histone modification change from H3K4me3(+)H3K27me3(+) to H3K4me3(+)H3K27me3(–) and identified the protocadherin-7 gene (Pcdh7) to be among the genes epigenetically regulated during osteoclastogenesis. Pcdh7 was induced by RANKL stimulation in an NFAT-dependent manner. The knockdown of Pcdh7 inhibited RANKL-induced osteoclast differentiation due to the impairment of cell–cell fusion, accompanied by a decreased expression of the fusion-related genes Dcstamp, Ocstamp and Atp6v0d2. This study demonstrates that Pcdh7 plays a key role in osteoclastogenesis by promoting cell–cell fusion.

  7. Cosmic-ray intensity related to solar and terrestrial activity indices in solar cycle no. 20

    The 11-year modulation of cosmic-ray intensity is studied using the data from nine world-wide neutron monitoring stations over the period 1965-1975. From this analysis the following relation among the modulated cosmic-ray intensity I, the relative sunspot number R, the number of proton events Nsub(p) and the geomagnetic index Asub(p) has been derived which describes the long-term modulation of cosmic rays I = C - 10-3(KR + 4Nsub(p) + 12Asub(p)), where C is constant which depends on the rigidity of each station, and K is a coefficient related to the diffusion coefficient of cosmic rays and its transition in space. The standard deviation between the observed and calculated values of cosmic-ray intensity is about 5-9%. This relation has been explained by a generalization of the Simpson solar wind model which has been proved by the spherically symmetric diffusion-convection theory. (orig.)

  8. Toward an animal model of extinction-induced despair: focus on aging and physiological indices.

    Huston, Joseph P; Schulz, Daniela; Topic, Bianca

    2009-08-01

    Behaviors that are under the control of positive or negative reinforcers undergo extinction when the anticipated reward/reinforcer is withheld. Despair, an important symptom of environmentally determined depression in humans, can be generated by extinction, or the failure of expected reward to accrue. Although well known to clinicians dealing with depressive patients, an animal model has not been available for extinction-induced depression. We have made a beginning towards validating such a model, based on the extinction of negatively reinforced behavior in the rat, i.e., upon removal of the possibility to escape onto a safety platform in the water maze. As a marker for despair, we employed behavioral immobility, i.e., the cessation of swimming in the attempt to find safety from the water, presumably, a type of learned helplessness. This measure was sensitive to antidepressants and correlated with neurotransmitter contents, neurotrophins and hypothalamus-pituitary adrenal axis markers in selected sites of the brain. Given that some cases of depression in the elderly may be biologically distinct from others and from early-onset depression, and since particularly the aged are prone to experience extinction-induced despair, we compared aged (ca. 24 months old) animals with adults in most of our studies. We found a number of distinct differences in behavioral and biological measures, indicative of differences in propensity to, as well as response to, extinction-induced despair between aged and adults. Our results add to the body of evidence for differences in the neurobiological substrates of depressive disorders between aged and adults, with the implication for the requirement of different treatment strategies in these two populations. PMID:19350220

  9. Time derivative of the horizontal geomagnetic field as an activity indicator

    A. Viljanen

    Full Text Available Geomagnetically induced currents (GICs in technological conductor systems are a manifestation of the ground effects of space weather. Large GICs are always associated with large values of the time derivative of the geomagnetic field, and especially with its horizontal component (dH/dt. By using the IMAGE magnetometer data from northern Europe from 1982 to 2001, we show that large dH/dt’s (exceeding 1 nT/s primarily occur during events governed by westward ionospheric currents. However, the directional distributions of dH/dt are much more scattered than those of the simultaneous baseline subtracted horizontal variation field vector ΔH. A pronounced difference between ΔH and dH/dt takes place at about 02–06 MLT in the auroral region when dH/dt prefers an east-west orientation, whereas ΔH points to the south. The occurrence of large dH/dt has two daily maxima, one around the local magnetic midnight, and another in the morning. There is a single maximum around the midnight only at the southernmost IMAGE stations. An identical feature is observed when large GICs are considered. The yearly number of large dH/dt values in the auroral region follows quite closely the aa index, but a clear variation from year-to-year is observed in the directional distributions. The scattering of dH/dt distributions is smaller during descending phases of the sunspot cycle. Seasonal variations are also seen, especially in winter dH/dt  is more concentrated to the north-south direction than at other times. The results manifest the importance of small-scale structures of ionospheric currents when GICs are considered. The distribution patterns of dH/dt cannot be explained by any simple sheet-type model of (westward ionospheric currents, but rapidly changing north-south currents and field-aligned currents must play an important role.

    Key words. Geomagnetism and

  10. THE INVESTMENT STRUCTURE, PRODUCTION, FINANCIAL AND ECONOMIC INDICATORS IN FISH FARM ACTIVITY. THE DEVIATIONS AND THEIR MEANINGS

    Eng.Camelia Luchian

    2013-08-01

    Full Text Available The production, the income and the expenditures on the total and also on the main structural elements in this paper, reveals levels and also limits on fishing activities specific indicators. Through the standard deviation and the variation coefficients, that are physical and on percentage played, it was possible to characterize the investment structure in the fish farm Blăgeşti establishment, but also the production activity in the first five years. Through the given values levels, it has been able to ascertain the fish farm production risk and the appreciation made through the values obtained frames a small variation (values below the 10% level. It has resulted that the production and income carried out from fisherieson the five-year period covers correlation variations, direct, which shows a low variation level for all statistical indicators analyzed.

  11. Evaluation of non-microbial salivary caries activity parameters and salivary biochemical indicators in predicting dental caries

    A. Kaur; K S Kwatra; Kamboj, P.

    2012-01-01

    Aim: The aim of the present study was the evaluation of non-microbial salivary caries activity parameters and salivary biochemical indicators in predicting dental caries. Materials and Methods: The present study was carried out on 60 children, aged 4-6 years, selected from the schools of Panchkula district, Haryana, on the basis of their caries status. Level of hydration, flow rate, pH, buffering capacity, relative viscosity, calcium, phosphorus and alkaline phosphatase levels in caries-free ...

  12. Screen-based media use clusters are related to other activity behaviours and health indicators in adolescents

    Straker, Leon; Smith, Anne; Hands, Beth; Olds, Tim; Abbott, Rebecca

    2013-01-01

    Background Screen-based media (SBM) occupy a considerable portion of young peoples’ discretionary leisure time. The aim of this paper was to investigate whether distinct clusters of SBM use exist, and if so, to examine the relationship of any identified clusters with other activity/sedentary behaviours and physical and mental health indicators. Methods The data for this study come from 643 adolescents, aged 14 years, who were participating in the longitudinal Western Australian Pregnancy Coho...

  13. Empirical Analysis of Affine vs. Nonaffine Variance Specifications in Jump-Diffusion Models for Equity Indices

    Seeger, N.J.; Rodrigues, P.J.M.; Ignatieva, K.

    2015-01-01

    This paper investigates several crucial issues that arise when modeling equity returns with stochastic variance. (i) Does the model need to include jumps even when using a nonaffine variance specification? We find that jump models clearly outperform pure stochastic volatility models. (ii) How do affine variance specifications perform when compared to nonaffine models in a jump diffusion setup? We find that nonaffine specifications outperform affine models, even after including jumps.

  14. Atmospheric Propagation Modeling Indicates Homing Pigeons use Loft-Specific Infrasonic 'Map' Cues

    Hagstrum, J. T.; Baker, L. M.; Spritzer, J. M.; McKenna, M. H.

    2011-12-01

    Pigeons (Columba livia) released at distant sites commonly depart in directions significantly off the actual homeward bearing. Such site-dependent deviations, or biases, for birds from a given loft are generally stable over time, but can also change from hour to hour, day to day, and year to year. At some release sites, birds consistently vanish in random directions and have longer flight times and lower return rates. Release sites characterized by frequent disorientation are not uncommon for pigeon lofts in both Europe and the USA. One such site is the Jersey Hill fire tower in upstate New York located ~120 km W of the Cornell loft in Ithaca. Cornell birds released at Jersey Hill between 1968 and 1987 almost always vanished randomly, although birds from other lofts had little difficulty orienting there. The results for one day, however, stand out: on August 13, 1969, Cornell birds released at Jersey Hill vanished consistently to the NE (r = 0.921; n=7) and returned home after normal flight times. Cornell pigeons released the next day again showed 'normal' behavior for the site and departed randomly. If, in fact, the birds are using acoustic cues to navigate, the long-term acoustic 'dead' zone we propose for Jersey Hill, due to prevailing atmospheric conditions, indicates that the cues are coming from a single, relatively restricted area, most likely surrounding the home loft. We have modeled the transmission of infrasonic waves, presumably coupled to the atmosphere from ocean-generated microseisms (0.14 Hz), between the Cornell loft and a number of release sites using HARPA (Hamiltonian Acoustic Ray-tracing Program for the Atmosphere) and rawinsonde data collected near Albany and Buffalo, NY. The HARPA modeling shows that acoustic signals from the Cornell loft reached Jersey Hill only on a few release days with unusual atmospheric conditions, including August 13, and were launched at angles less than ~2° above horizontal, most likely from steep-sided terrain in

  15. Optimal Germination Temperature Assessed by Indices and Models in Field Bean (Vicia faba L. var. minor

    Khalil Khamassi

    2013-07-01

    Full Text Available 800x600 This paper seeks to shed light on the effect of temperature on field bean (Vicia faba L. var. minor germination and root elongation. Accordingly, the results were as follows: germination was faster at 20°C than at 5, 10, 15, 25 or 30°C. However, temperature had no effect on total germination percentage between 10 and 30°C, although it was reduced by approximately 4% at 5°C and delayed at other temperatures. 50% germination required nine days at 5°C but only three days at 20°C. Seeds required a mean germination time of 12 days for total germination at 5°C but only four days at 20°C. The coefficient of the velocity or rate of germination index reached the highest (23.71% and lowest (8.24% value at 20°C and 5°C, respectively. Maximum germination speed (43.26, as assessed by the speed of germination index, was at 20°C. The speed of accumulated germination grew in proportion to the increase in incubation temperature. Th e main root axis length index and root elongation speed peaked at 20°C (five days and 0.72 cm/day, respectively. Prediction of optimal temperature for germination (To by using the equation D = [a-(b×T +(c×T2] showed that 20°C is the optimum To, indicating that the theoretical model was robust. Hence, it could confidently be used to calculate all parameters related to the effect of temperature on faba bean germination. Normal 0 21 false false false FR X-NONE X-NONE MicrosoftInternetExplorer4

  16. Towards more reliable long-term indices of geomagnetic activity: correcting a new inhomogeneity problem in early geomagnetic data

    Holappa, Lauri; Mursula, Kalevi

    2016-07-01

    For the time before the space era our knowledge of the centennial evolution of solar wind (SW) and interplanetary magnetic field (IMF) is based on proxies derived from geomagnetic indices. The reliability of these proxies is dependent on the homogeneity of magnetic field data. In this paper we study the interhourly (IHV) and interdiurnal (IDV_{1d}) variability indices calculated from the data of two British observatories, Eskdalemuir and Lerwick, and compare them to the corresponding indices of the German Niemegk observatory. We find an excess of about 14 ± 4% (5.8 ± 2%) and 27 ± 10% (15 ± 6%) in the IHV (IDV_{1d}) in the indices of Eskdalemuir and Lerwick in 1935-1969. The timing of this excess accurately coincides with instrument changes made in these observatories, strongly supporting the interpretation that the excess is indeed caused by instrument related inhomogeneities in the data of Eskdalemuir and Lerwick. We show that the detected excess notably modifies the long-term trend of geomagnetic activity and the centennial evolution of IMF strength and solar wind speed estimated using these indices. We note that the detected inhomogeneity problem may not be limited to the data of the two studied observatories, but may be quite common to long series of geomagnetic measurements. These results question the reliability of the present measures of the centennial change in solar wind speed and IMF.

  17. Colorimetric Detection of Caspase 3 Activity and Reactive Oxygen Derivatives: Potential Early Indicators of Thermal Stress in Corals

    Mickael Ros

    2016-01-01

    Full Text Available There is an urgent need to develop and implement rapid assessments of coral health to allow effective adaptive management in response to coastal development and global change. There is now increasing evidence that activation of caspase-dependent apoptosis plays a key role during coral bleaching and subsequent mortality. In this study, a “clinical” approach was used to assess coral health by measuring the activity of caspase 3 using a commercial kit. This method was first applied while inducing thermal bleaching in two coral species, Acropora millepora and Pocillopora damicornis. The latter species was then chosen to undergo further studies combining the detection of oxidative stress-related compounds (catalase activity and glutathione concentrations as well as caspase activity during both stress and recovery phases. Zooxanthellae photosystem II (PSII efficiency and cell density were measured in parallel to assess symbiont health. Our results demonstrate that the increased caspase 3 activity in the coral host could be detected before observing any significant decrease in the photochemical efficiency of PSII in the algal symbionts and/or their expulsion from the host. This study highlights the potential of host caspase 3 and reactive oxygen species scavenging activities as early indicators of stress in individual coral colonies.

  18. MODELING MERCURY CONTROL WITH POWDERED ACTIVATED CARBON

    The paper presents a mathematical model of total mercury removed from the flue gas at coal-fired plants equipped with powdered activated carbon (PAC) injection for Mercury control. The developed algorithms account for mercury removal by both existing equipment and an added PAC in...

  19. Plugging indicator

    It is often difficult to measure a plugging temperature when the impurity concentration in liquid sodium is low. Then, the plugging temperature is considered to be inferior to 1100C. Sometimes, a more precise indication is required. We propose a use for the plugging indicator which satisfies this type of requirement. A partial plugging of the indicator orifice is produced and increases at a constant temperature. A mathematical model describes this growth: it is based mainly on the kinetics of Na2O and NaH crystal growth and links the plugging time to oxygen or hydrogen concentrations. (orig.)

  20. A Structural Model Proposal for Turkish Faculties of Education Regarding ICT Integration Indicators

    Akbulut, Yavuz

    2010-01-01

    A recent survey study with 2515 pre-service teachers suggested an underlying structure to shelter ICT integration indicators. Eleven indicators were extracted, which were Teaching-Learning Methods, E-learning, E-interaction, Learning Communities, Infrastructure, Access, Ease of Use, Technical Assistance, Policy, Special Education and Health. In…

  1. A generalised dynamic factor model for the Belgian economy - Useful business cycle indicators and GDP growth forecasts

    Christophe Van Nieuwenhuyze

    2006-01-01

    This paper aims to extract the common variation in a data set of 509 conjunctural series as an indication of the Belgian business cycle. The data set contains information on business and consumer surveys of Belgium and its neighbouring countries, macroeconomic variables and some worldwide watched indicators such as the ISM and the OECD confidence indicators. The statistical framework used is the One-sided Generalised Dynamic Factor Model developed by Forni, Hallin, Lippi and Reichlin (2005). ...

  2. A Program Evaluation Model: Using Bloom's Taxonomy to Identify Outcome Indicators in Outcomes-Based Program Evaluations

    McNeil, Rita C.

    2011-01-01

    Outcomes-based program evaluation is a systematic approach to identifying outcome indicators and measuring results against those indicators. One dimension of program evaluation is assessing the level of learner acquisition to determine if learning objectives were achieved as intended. The purpose of the proposed model is to use Bloom's Taxonomy to…

  3. Calculation of probabilities of transfer, recurrence intervals, and positional indices for linear compartment models. Environmental Sciences Division Publication no. 1544

    Six indices are presented for linear compartment systems that quantify the probable pathways of matter or energy transfer, the likelihood of recurrence if the model contains feedback loops, and the number of steps (transfers) through the system. General examples are used to illustrate how these indices can simplify the comparison of complex systems or organisms in unrelated systems

  4. Calculation of probabilities of transfer, recurrence intervals, and positional indices for linear compartment models. Environmental Sciences Division Publication no. 1544

    Carney, J.H.; DeAngelis, D.L.; Gardner, R.H.; Mankin, J.B.; Post, W.M.

    1981-02-01

    Six indices are presented for linear compartment systems that quantify the probable pathways of matter or energy transfer, the likelihood of recurrence if the model contains feedback loops, and the number of steps (transfers) through the system. General examples are used to illustrate how these indices can simplify the comparison of complex systems or organisms in unrelated systems.

  5. Mathematical model of radon activity measurements

    Paschuk, Sergei A.; Correa, Janine N.; Kappke, Jaqueline; Zambianchi, Pedro, E-mail: sergei@utfpr.edu.br, E-mail: janine_nicolosi@hotmail.com [Universidade Tecnologica Federal do Parana (UTFPR), Curitiba, PR (Brazil); Denyak, Valeriy, E-mail: denyak@gmail.com [Instituto de Pesquisa Pele Pequeno Principe, Curitiba, PR (Brazil)

    2015-07-01

    Present work describes a mathematical model that quantifies the time dependent amount of {sup 222}Rn and {sup 220}Rn altogether and their activities within an ionization chamber as, for example, AlphaGUARD, which is used to measure activity concentration of Rn in soil gas. The differential equations take into account tree main processes, namely: the injection of Rn into the cavity of detector by the air pump including the effect of the traveling time Rn takes to reach the chamber; Rn release by the air exiting the chamber; and radioactive decay of Rn within the chamber. Developed code quantifies the activity of {sup 222}Rn and {sup 220}Rn isotopes separately. Following the standard methodology to measure Rn activity in soil gas, the air pump usually is turned off over a period of time in order to avoid the influx of Rn into the chamber. Since {sup 220}Rn has a short half-life time, approximately 56s, the model shows that after 7 minutes the activity concentration of this isotope is null. Consequently, the measured activity refers to {sup 222}Rn, only. Furthermore, the model also addresses the activity of {sup 220}Rn and {sup 222}Rn progeny, which being metals represent potential risk of ionization chamber contamination that could increase the background of further measurements. Some preliminary comparison of experimental data and theoretical calculations is presented. Obtained transient and steady-state solutions could be used for planning of Rn in soil gas measurements as well as for accuracy assessment of obtained results together with efficiency evaluation of chosen measurements procedure. (author)

  6. Mathematical model of radon activity measurements

    Present work describes a mathematical model that quantifies the time dependent amount of 222Rn and 220Rn altogether and their activities within an ionization chamber as, for example, AlphaGUARD, which is used to measure activity concentration of Rn in soil gas. The differential equations take into account tree main processes, namely: the injection of Rn into the cavity of detector by the air pump including the effect of the traveling time Rn takes to reach the chamber; Rn release by the air exiting the chamber; and radioactive decay of Rn within the chamber. Developed code quantifies the activity of 222Rn and 220Rn isotopes separately. Following the standard methodology to measure Rn activity in soil gas, the air pump usually is turned off over a period of time in order to avoid the influx of Rn into the chamber. Since 220Rn has a short half-life time, approximately 56s, the model shows that after 7 minutes the activity concentration of this isotope is null. Consequently, the measured activity refers to 222Rn, only. Furthermore, the model also addresses the activity of 220Rn and 222Rn progeny, which being metals represent potential risk of ionization chamber contamination that could increase the background of further measurements. Some preliminary comparison of experimental data and theoretical calculations is presented. Obtained transient and steady-state solutions could be used for planning of Rn in soil gas measurements as well as for accuracy assessment of obtained results together with efficiency evaluation of chosen measurements procedure. (author)

  7. Analysis of risk indicators and issues associated with applications of screening model for hazardous and radioactive waste sites

    Risk indicators, such as population risk, maximum individual risk, time of arrival of contamination, and maximum water concentrations, were analyzed to determine their effect on results from a screening model for hazardous and radioactive waste sites. The analysis of risk indicators is based on calculations resulting from exposure to air and waterborne contamination predicted with Multimedia Environmental Pollutant Assessment System (MEPAS) model. The different risk indicators were analyzed, based on constituent type and transport and exposure pathways. Three of the specific comparisons that were made are (1) population-based versus maximum individual-based risk indicators, (2) time of arrival of contamination, and (3) comparison of different threshold assumptions for noncarcinogenic impacts. Comparison of indicators for population- and maximum individual-based human health risk suggests that these two parameters are highly correlated, but for a given problem, one may be more important than the other. The results indicate that the arrival distribution for different levels of contamination reaching a receptor can also be helpful in decisions regarding the use of resources for remediating short- and long-term environmental problems. The addition of information from a linear model for noncarcinogenic impacts allows interpretation of results below the reference dose (RfD) levels that might help in decisions for certain applications. The analysis of risk indicators suggests that important information may be lost by the use of a single indicator to represent public health risk and that multiple indicators should be considered. 15 refs., 8 figs., 1 tab

  8. Assessing the Impact of Fuel Cost on Traffic Demand in Flanders using Activity-Based Models

    Kochan, Bruno; Bellemans, Tom; Janssens, Davy; Wets, Geert

    2008-01-01

    The basic principle underlying activity-based travel demand models consists of the fact that travel is derived from the activities individuals need to perform. Important in the theoretical reasoning behind activity-based models are the constraints that dictate whether or not activities can be performed in particular time-space settings. In addition to constraints, empirical evidence also indicates that individuals’ activity-travel sequences are susceptible to changes in transport network char...

  9. Methods of Modelling Marketing Activity on Software Sales

    Bashirov Islam H.

    2013-11-01

    Full Text Available The article studies a topical issue of development of methods of modelling marketing activity on software sales for achievement of efficient functioning of an enterprise. On the basis of analysis of the market type for the studied CloudLinux OS product, the article identifies the market structure type: monopolistic competition. To ensure the information basis of the marketing activity in the target market segment, the article offers the survey method. The article provides a questionnaire, which contains specific questions regarding the studied market segment of hosting services, for an online survey with the help of the Survio service. In accordance with the system approach the CloudLinux OS has properties of systems, namely, diversity. Economic differences are non-price indicators that have no numeric expression and are quality descriptions. Analysis of the market and the conducted survey allow obtaining them. Combination of price and non-price indicators provides a complete description of the product properties. To calculate an integral indicator of competitiveness the article offers to apply a model, which is based on the direct algebraic addition of weight measures of individual indicators, regulation of formalised indicators and use of the mechanism of fuzzy sets for identification of non-formalised indicators. The calculated indicator allows not only assessment of the current level of competitiveness, but also identification of influence of changes of various indicators, which allows increase of efficiency of marketing decisions. Also, having identified the target customers of hosting OS and formalised non-price parameters, it is possible to conduct the search for a set of optimal characteristics of the product. In the result an optimal strategy of the product advancement to the market is formed.

  10. Distribution of phytoplankton functional types in high-nitrate, low-chlorophyll waters in a new diagnostic ecological indicator model

    A. P. Palacz

    2013-11-01

    Full Text Available Modeling and monitoring plankton functional types (PFTs is challenged by the insufficient amount of field measurements of ground truths in both plankton models and bio-optical algorithms. In this study, we combine remote sensing data and a dynamic plankton model to simulate an ecologically sound spatial and temporal distribution of phyto-PFTs. We apply an innovative ecological indicator approach to modeling PFTs and focus on resolving the question of diatom–coccolithophore coexistence in the subpolar high-nitrate and low-chlorophyll regions. We choose an artificial neural network as our modeling framework because it has the potential to interpret complex nonlinear interactions governing complex adaptive systems, of which marine ecosystems are a prime example. Using ecological indicators that fulfill the criteria of measurability, sensitivity and specificity, we demonstrate that our diagnostic model correctly interprets some basic ecological rules similar to ones emerging from dynamic models. Our time series highlight a dynamic phyto-PFT community composition in all high-latitude areas and indicate seasonal coexistence of diatoms and coccolithophores. This observation, though consistent with in situ and remote sensing measurements, has so far not been captured by state-of-the-art dynamic models, which struggle to resolve this "paradox of the plankton". We conclude that an ecological indicator approach is useful for ecological modeling of phytoplankton and potentially higher trophic levels. Finally, we speculate that it could serve as a powerful tool in advancing ecosystem-based management of marine resources.

  11. Labelled Thioamino Acids to Indicate the Synthetic Activity of the Rumen Bacteria in In-Vitro Experiments

    The synthetic activity of rumen bacteria has been studied in vitro through the investigation of cystine and methionine concentration and their specific activity. 35S-sulphate has been used as a radioactive tracer. Two diets, different in the level of nutrients - energy and protein - were added to the artificial tumen. The incubation with bacteria from the rumen content of the cows, fed for four weeks with the same diet, lasted 19 h. The diet with the higher level of protein and energy increased the cystine content (per 100 mg of N2) by 23.3% and the methionine content by 39.4%. The concentration of radioactive cystine was increased at the same percentage rate by 25%, but radioactive methionine was much lower and increased only 6.4%. The difference between the specific activities of the investigated amino acids can be explained by the different catabolism rate and utilization of dietary cystine, and methionine by the rumen bacterial flora. Since the dietary methionine is catabolized slowly, it can, especially by the use of the diets with a high protein level, significantly decrease the specific activity of the radioactive methionine synthesized by rumen bacteria. Therefore, the incorporation of 35S into the cystine represents a more reliable indicator of the synthetic activity of the rumen bacteria. (author)

  12. Evaluation of non-microbial salivary caries activity parameters and salivary biochemical indicators in predicting dental caries

    A Kaur

    2012-01-01

    Full Text Available Aim: The aim of the present study was the evaluation of non-microbial salivary caries activity parameters and salivary biochemical indicators in predicting dental caries. Materials and Methods: The present study was carried out on 60 children, aged 4-6 years, selected from the schools of Panchkula district, Haryana, on the basis of their caries status. Level of hydration, flow rate, pH, buffering capacity, relative viscosity, calcium, phosphorus and alkaline phosphatase levels in caries-free and caries-active children were evaluated. Results: Results showed that 90% of subjects in the caries-free group and 30% of subjects in the caries-active group had normal level of hydration value of less than 60 s and the difference was found to be statistically very highly significant. Normal flow rate of stimulated saliva was found in 90% of the subjects in caries-free group and 33.3% subjects in the caries active group and difference was found to be statistically very highly significant. Adequate salivary pH was found in 100% subjects in caries-free group and 30% in caries-active group and the difference was statistically very highly significant. Conclusion: To conclude, within limitations of this study, it became clear that normal level of hydration and higher values for flow rate, pH, buffering capacity of saliva lead to good oral health and a reduced caries occurrence. Increased salivary viscosity plays a role in increasing caries incidence. Salivary biochemical indicators like calcium, phosphorus and alkaline phosphatase also play their respective role in determining caries susceptibility of an individual. These salivary parameters can be used as diagnostic tool for caries risk assessment.

  13. Phase Transitions in Model Active Systems

    Redner, Gabriel S.

    The amazing collective behaviors of active systems such as bird flocks, schools of fish, and colonies of microorganisms have long amazed scientists and laypeople alike. Understanding the physics of such systems is challenging due to their far-from-equilibrium dynamics, as well as the extreme diversity in their ingredients, relevant time- and length-scales, and emergent phenomenology. To make progress, one can categorize active systems by the symmetries of their constituent particles, as well as how activity is expressed. In this work, we examine two categories of active systems, and explore their phase behavior in detail. First, we study systems of self-propelled spherical particles moving in two dimensions. Despite the absence of an aligning interaction, this system displays complex emergent dynamics, including phase separation into a dense active solid and dilute gas. Using simulations and analytic modeling, we quantify the phase diagram and separation kinetics. We show that this nonequilibrium phase transition is analogous to an equilibrium vapor-liquid system, with binodal and spinodal curves and a critical point. We also characterize the dense active solid phase, a unique material which exhibits the structural signatures of a crystalline solid near the crystal-hexatic transition point, as well as anomalous dynamics including superdiffusive motion on intermediate timescales. We also explore the role of interparticle attraction in this system. We demonstrate that attraction drastically changes the phase diagram, which contains two distinct phase-separated regions and is reentrant as a function of propulsion speed. We interpret this complex situation with a simple kinetic model, which builds from the observed microdynamics of individual particles to a full description of the macroscopic phase behavior. We also study active nematics, liquid crystals driven out of equilibrium by energy-dissipating active stresses. The equilibrium nematic state is unstable in these

  14. Impact of performance indicators on organisations: a proposal for an evaluation model

    Turina, Elisa Elena; Franceschini, Fiorenzo; Galetto, Maurizio

    2014-01-01

    This work aims at giving some guidelines to assess the impact of performance indicators on organisations. Performance measurement systems are usually introduced into organisations in order to monitor goal achievement, to allocate resources and to implement a strategy. However, the implementation of performance indicators may generate an alteration in the rational behaviour of the monitored structure. The risk of this impact is always present, and must be considered very carefully in order to ...

  15. Genetic visualization with an improved GCaMP calcium indicator reveals spatiotemporal activation of the spinal motor neurons in zebrafish.

    Muto, Akira; Ohkura, Masamichi; Kotani, Tomoya; Higashijima, Shin-ichi; Nakai, Junichi; Kawakami, Koichi

    2011-03-29

    Animal behaviors are generated by well-coordinated activation of neural circuits. In zebrafish, embryos start to show spontaneous muscle contractions at 17 to 19 h postfertilization. To visualize how motor circuits in the spinal cord are activated during this behavior, we developed GCaMP-HS (GCaMP-hyper sensitive), an improved version of the genetically encoded calcium indicator GCaMP, and created transgenic zebrafish carrying the GCaMP-HS gene downstream of the Gal4-recognition sequence, UAS (upstream activation sequence). Then we performed a gene-trap screen and identified the SAIGFF213A transgenic fish that expressed Gal4FF, a modified version of Gal4, in a subset of spinal neurons including the caudal primary (CaP) motor neurons. We conducted calcium imaging using the SAIGFF213A; UAS:GCaMP-HS double transgenic embryos during the spontaneous contractions. We demonstrated periodic and synchronized activation of a set of ipsilateral motor neurons located on the right and left trunk in accordance with actual muscle movements. The synchronized activation of contralateral motor neurons occurred alternately with a regular interval. Furthermore, a detailed analysis revealed rostral-to-caudal propagation of activation of the ipsilateral motor neuron, which is similar to but much slower than the rostrocaudal delay observed during swimming in later stages. Our study thus demonstrated coordinated activities of the motor neurons during the first behavior in a vertebrate. We propose the GCaMP technology combined with the Gal4FF-UAS system is a powerful tool to study functional neural circuits in zebrafish. PMID:21383146

  16. Safety performance indicators used by the Russian Safety Regulatory Authority in its practical activities on nuclear power plant safety regulation

    The Sixth Department of the Nuclear, Industrial and Environmental Regulatory Authority of Russia, Scientific and Engineering Centre for Nuclear and Radiation Safety process, analyse and use the information on nuclear power plants (NPPs) operational experience or NPPs safety improvement. Safety performance indicators (SPIs), derived from processing of information on operational violations and analysis of annual NPP Safety Reports, are used as tools to determination of trends towards changing of characteristics of operational safety, to assess the effectiveness of corrective measures, to monitor and evaluate the current operational safety level of NPPs, to regulate NPP safety. This report includes a list of the basic SPIs, those used by the Russian safety regulatory authority in regulatory activity. Some of them are absent in list of IAEA-TECDOC-1141 ('Operational safety performance indicators for nuclear power plants'). (author)

  17. Regression modeling plan for 29 biochemical indicators of diet and nutrition measured in NHANES 2003-2006.

    Sternberg, Maya R; Schleicher, Rosemary L; Pfeiffer, Christine M

    2013-06-01

    The collection of articles in this supplement issue provides insight into the association of various covariates with concentrations of biochemical indicators of diet and nutrition (biomarkers), beyond age, race, and sex, using linear regression. We studied 10 specific sociodemographic and lifestyle covariates in combination with 29 biomarkers from NHANES 2003-2006 for persons aged ≥ 20 y. The covariates were organized into 2 sets or "chunks": sociodemographic (age, sex, race-ethnicity, education, and income) and lifestyle (dietary supplement use, smoking, alcohol consumption, BMI, and physical activity) and fit in hierarchical fashion by using each category or set of related variables to determine how covariates, jointly, are related to biomarker concentrations. In contrast to many regression modeling applications, all variables were retained in a full regression model regardless of significance to preserve the interpretation of the statistical properties of β coefficients, P values, and CIs and to keep the interpretation consistent across a set of biomarkers. The variables were preselected before data analysis, and the data analysis plan was designed at the outset to minimize the reporting of false-positive findings by limiting the amount of preliminary hypothesis testing. Although we generally found that demographic differences seen in biomarkers were over- or underestimated when ignoring other key covariates, the demographic differences generally remained significant after adjusting for sociodemographic and lifestyle variables. These articles are intended to provide a foundation to researchers to help them generate hypotheses for future studies or data analyses and/or develop predictive regression models using the wealth of NHANES data. PMID:23596165

  18. Extracting GDP Signals From the Monthly Indicator of Economic Activity: Evidence From Chilean Real-Time Data

    Michael Pedersen

    2010-01-01

    With real-time data it is analyzed what information Chile’s monthly indicator of economic activity (IMACEC) contains about the final GDP, defined as the growth rate that has been subject to at least two annual revisions. Data are presented and revisions briefly analyzed. It is argued that when three months of IMACEC data are available, it is possible to extract signals about the final GDP, which are as reliable as those contained in the first release of the growth rate. This result is obtaine...

  19. Prothrombin fragment 1+2 in urine as an indicator of sustained coagulation activation after total hip arthroplasty

    Borris, L.C.; Breindahl, M.; Ryge, C.;

    2007-01-01

    Purpose: Prothrombin fragment 1 + 2 measured in spot urine (uF1 + 2) is an indicator of thrombin generation. We examined whether measured levels of uF1 + 2 can be used to differentiate between patients who do and do not acquire sustained coagulation activation after total hip arthroplasty (THA). ...... patients (8.8%) in the second study suffered VTC or death, assumed to be caused by a coagulation problem. Analysis of variance revealed the following statistically significant associations: pre- vs. postoperative tog uF1 + 2 Levels (P...

  20. An Active Region Model for Capturing Fractal Flow Patterns inUnsaturated Soils: Model Development

    Liu, Hui-Hai; Zhang, R.; Bodvarsson, Gudmundur S.

    2005-06-11

    Preferential flow commonly observed in unsaturated soils allows rapid movement of solute from the soil surface or vadose zone to the groundwater, bypassing a significant volume of unsaturated soil and increasing the risk of groundwater contamination. A variety of evidence indicates that complex preferential patterns observed from fields are fractals. In this study, we developed a relatively simple active region model to incorporate the fractal flow pattern into the continuum approach. In the model, the flow domain is divided into active and inactive regions. Flow occurs preferentially in the active region (characterized by fractals), and inactive region is simply bypassed. A new constitutive relationship (the portion of the active region as a function of saturation) was derived. The validity of the proposed model is demonstrated by the consistency between field observations and the new constitutive relationship.

  1. Sediment amino acids as indicators of anthropogenic activities and potential environmental risk in Erhai Lake, Southwest China.

    Ni, Zhaokui; Wang, Shengrui; Zhang, Mianmian

    2016-05-01

    Total hydrolysable amino acids (THAAs) constitute the most important fraction of labile nitrogen. Anthropogenic activities directly influence various biogeochemical cycles and then accelerate lake ecosystem deterioration. This is the first study that has established the relationship between sediment THAAs and anthropogenic activities using dated sediment cores, and evaluated the possibility of THAAs release at the sediment interface based on changes in environmental conditions in Erhai Lake. The results showed that historical distribution and fractions of THAAs could be divided into three stages: a stable period before the 1970s, a clear increasing period from the 1970s to 1990s, and a gradually steady period that started after the 1990s. The chemical fraction, aromatic and sulfur amino acids (AAs) accounted for only ≤3% of THAAs. Basic AAs accounted for 5-17% of THAAs, and remained at a relatively stable level. However, acidic and neutral AAs, which accounted for 19-44% and 35-69% of THAAs, respectively, were the predominant factors causing THAAs to increase due to rapid agricultural intensification and intensification of contemporary sedimentation of phytoplankton or macrophytes since the 1970s. These trends were closely related to both anthropogenic activities and natural processes, which implied that sediment THAAs could act as an effective indicator that reflects anthropogenic activities and aquatic environmental characteristics. The current contributions of sediment THAAs on TN and TOC were <5% and 1.5%, respectively. However, the dramatic increase in THAAs in the sediment cores indicated that there was a huge potential source of labile nitrogen for the overlying water under certain environmental conditions. Correlation analysis suggested that the release of THAAs was negatively correlated with pH, whereas positively correlated with bacterial number and degree of OM mineralization, which particularly depend on the stability of HFOM. Therefore, the risk of

  2. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth.

    Poitras, Veronica Joan; Gray, Casey Ellen; Borghese, Michael M; Carson, Valerie; Chaput, Jean-Philippe; Janssen, Ian; Katzmarzyk, Peter T; Pate, Russell R; Connor Gorber, Sarah; Kho, Michelle E; Sampson, Margaret; Tremblay, Mark S

    2016-06-01

    Moderate-to-vigorous physical activity (MVPA) is essential for disease prevention and health promotion. Emerging evidence suggests other intensities of physical activity (PA), including light-intensity activity (LPA), may also be important, but there has been no rigorous evaluation of the evidence. The purpose of this systematic review was to examine the relationships between objectively measured PA (total and all intensities) and health indicators in school-aged children and youth. Online databases were searched for peer-reviewed studies that met the a priori inclusion criteria: population (apparently healthy, aged 5-17 years), intervention/exposure/comparator (volumes, durations, frequencies, intensities, and patterns of objectively measured PA), and outcome (body composition, cardiometabolic biomarkers, physical fitness, behavioural conduct/pro-social behaviour, cognition/academic achievement, quality of life/well-being, harms, bone health, motor skill development, psychological distress, self-esteem). Heterogeneity among studies precluded meta-analyses; narrative synthesis was conducted. A total of 162 studies were included (204 171 participants from 31 countries). Overall, total PA was favourably associated with physical, psychological/social, and cognitive health indicators. Relationships were more consistent and robust for higher (e.g., MVPA) versus lower (e.g., LPA) intensity PA. All patterns of activity (sporadic, bouts, continuous) provided benefit. LPA was favourably associated with cardiometabolic biomarkers; data were scarce for other outcomes. These findings continue to support the importance of at least 60 min/day of MVPA for disease prevention and health promotion in children and youth, but also highlight the potential benefits of LPA and total PA. All intensities of PA should be considered in future work aimed at better elucidating the health benefits of PA in children and youth. PMID:27306431

  3. Analysis of a hundred years magnetic activity indices. IV Various components of the annual wave at subauroral latitudes

    The annual wave of the magnetic activity is the resultant of various components. The first one has its maximum during the summer solstice of each hemisphere and is caused by additional activity, especially in H component, around 15 h LT; its amplitude varies with longitude, and is largest on the meridian of each magnetic pole in each hemisphere; it seems to be larger in the Northern hemisphere than in the Southern one. The second component is driven by the sin2 psisub(M) - modulation of the magnetic activity (McIntosh effect; psisub(M) is the angle between the solar wind and the dipole axis); its amplitude varies in the same way in both hemispheres with longitude; it is largest (or null) at longitudes where the maximum of the local time daily variation of the activity is close to 4.5 h and 16.5 h UT (or 10.5 and 22.5 h UT); its annual maximum (or minimum) is at June solstice when the daily maximum of the activity occurs between 22.5 and 10.5 h UT (or between 10.5 h and 22.5 h UT). The existence of these two components is unquestionable. A third component would correspond to a larger activity around (or after) the local midnight during the winter solstice than during the summer solstice. With planetary indices based upon a very dense network of observatories which has a perfectly uniform longitude distribution, only the second component would be perfectly compensated

  4. Characterizing and modeling the dynamics of activity and popularity.

    Peng Zhang

    Full Text Available Social media, regarded as two-layer networks consisting of users and items, turn out to be the most important channels for access to massive information in the era of Web 2.0. The dynamics of human activity and item popularity is a crucial issue in social media networks. In this paper, by analyzing the growth of user activity and item popularity in four empirical social media networks, i.e., Amazon, Flickr, Delicious and Wikipedia, it is found that cross links between users and items are more likely to be created by active users and to be acquired by popular items, where user activity and item popularity are measured by the number of cross links associated with users and items. This indicates that users generally trace popular items, overall. However, it is found that the inactive users more severely trace popular items than the active users. Inspired by empirical analysis, we propose an evolving model for such networks, in which the evolution is driven only by two-step random walk. Numerical experiments verified that the model can qualitatively reproduce the distributions of user activity and item popularity observed in empirical networks. These results might shed light on the understandings of micro dynamics of activity and popularity in social media networks.

  5. A unified structural equation modeling approach for the decomposition of rank-dependent indicators of socioeconomic inequality of health

    Kessels, Roselinde; ERREYGERS, Guido

    2014-01-01

    We present a unified structural equation modelling framework for the regression-based decomposition of rank-dependent indicators of socioeconomic inequality of health and compare it with a simple ordinary least squares regression. The structural equation modelling framework forms the basis for a proper use of the most prominent one- and two-dimensional decompositions and provides an argument for using the bivariate multiple regression model for two-dimensional decomposition. Within the struct...

  6. Distribution of phytoplankton functional types in high-nitrate low-chlorophyll waters in a new diagnostic ecological indicator model

    Palacz, Artur; St. John, Michael; Brevin, R.J.W.;

    2013-01-01

    Modeling and monitoring plankton functional types (PFTs) is challenged by insufficient amount of field measurements to ground-truth both plankton models and bio-optical algorithms. In this study, we combine remote sensing data and a dynamic plankton model to simulate an ecologically-sound spatial...... and remote sensing measurements, was so far not captured by state-of-the-art dynamic models which struggle to resolve this "paradox of the plankton". We conclude that an ecological indicator approach is useful for ecological modeling of phytoplankton and potentially higher trophic levels. Finally, we...

  7. [Validity of indicators on physical activity and sedentary behavior from the Brazilian National School-Based Health Survey among adolescents in Rio de Janeiro, Brazil].

    Tavares, Letícia Ferreira; Castro, Inês Rugani Ribeiro de; Cardoso, Letícia Oliveira; Levy, Renata Bertazzi; Claro, Rafael Moreira; Oliveira, Andreia Ferreira de

    2014-09-01

    This study evaluated the relative validity of physical activity indicators from the questionnaire used in the Brazilian National School-Based Health Survey (PeNSE) in the city of Rio de Janeiro, Brazil, based on a sample of 174 students. The following indicators of weekly physical activity were evaluated: ACTIVE-300MIN (≥ 300 minutes/week); ACTIVE-150MIN (≥ 150 minutes), INACTIVE (no physical activity). Additionally, indicators of sedentary behavior were also assessed, as daily screen time (TV, videogames, and computer). The results from the questionnaire were compared with three 24-hour recalls. The results of ACTIVE-300MIN, ACTIVE-150MIN, and INACTIVE generated by PeNSE showed high accuracy. These indicators performed better than those of sedentary behavior in relation to frequency estimates as well as sensitivity, specificity, and correct classification rate. The indicators of physical activity from PeNSE showed satisfactory relative validity. PMID:25317515

  8. Modelling of activity transport in PHWR

    The modelling of mass and activity transport in PHWR is of importance in predicting the build up of radiation field in and around the Primary Heat Transport system which will consequently help in planning the Dilute Chemical Decontamination and man rem budgeting. Modeling also helps in understanding the different parameters controlling the transport behaviour. Some of the important parameters include coolant chemistry like pH, physical parameters like temperature, the nature of the corrosion film and hence the effect of passivation techniques. VVER code for activity transport uses six nodes for the primary system and is essentially devised for stainless steel system. In the present work though based on this model, major modifications have been incorporated to suit the PHWR conditions. In the code, the PHT system of PHWR is suitably divided into 14 nodes, 5 in-core and 9 out of core nodes based on material and heat transfer properties. This paper describes the mechanisms involved in the various processes like generation of corrosion products, their release as well as their transport into the primary coolant, the activation of inactive corrosion product nuclides and the build up of radiation field due to 60Co around the PHT system. (author)

  9. Modeling of an Active Tablet Coating Process.

    Toschkoff, Gregor; Just, Sarah; Knop, Klaus; Kleinebudde, Peter; Funke, Adrian; Djuric, Dejan; Scharrer, Georg; Khinast, Johannes G

    2015-12-01

    Tablet coating is a common unit operation in the pharmaceutical industry, during which a coating layer is applied to tablet cores. The coating uniformity of tablets in a batch is especially critical for active coating, that is, coating that contains an active pharmaceutical ingredient. In recent years, discrete element method (DEM) simulations became increasingly common for investigating tablet coating. In this work, DEM was applied to model an active coating process as closely as possible, using measured model parameters and non-spherical particles. We studied how operational conditions (rotation speed, fill level, number of nozzles, and spray rate) influence the coating uniformity. To this end, simulation runs were planned and interpreted according to a statistical design of (simulation) experiments. Our general goal was to achieve a deeper understanding of the process in terms of residence times and dimensionless scaling laws. With that regard, the results were interpreted in light of analytical models. The results were presented at various detail levels, ranging from an overview of all variations to in-depth considerations. It was determined that the biggest uniformity improvement in a realistic setting was achieved by increasing the number of spray nozzles, followed by increasing the rotation speed and decreasing the fill level. PMID:26344941

  10. Daily House Price Indices: Construction, Modeling, and Longer-Run Predictions

    Bollerslev, Tim; Patton, Andrew J.; Wang, Wenjing

    We construct daily house price indices for ten major U.S. metropolitan areas. Our calculations are based on a comprehensive database of several million residential property transactions and a standard repeat-sales method that closely mimics the methodology of the popular monthly Case-Shiller hous...

  11. Microcalorimetric study of the effect of Ce(III) on metabolic activity of mitochondria isolated from indice rice 9311.

    Dai, Jie; Zhang, Ye-Zhong; Liu, Yi; Li, Qiang-Guo

    2008-07-01

    Rare earth elements (REEs) have beneficial influence on plant growth and are widely used in agriculture practice, but little is known about behavior of the REEs on mitochondria in plant cells. Thermogenic metabolic curves were determined by the ampoule method at 303 K using a TAM air isothermal microcalorimeter in mitochondria isolated from indice rice 9311 (Oryza sativa L.), and the effect of Ce(III) on mitochondrial metabolism was investigated. By analyzing the obtained heat flux curves, the crucial parameters such as activity recovery rate constant (k) and maximum heat power (P(m)) were investigated. Application of Ce3+ in concentrations ranging from 0 to 120 microg/ml significantly increased k and P(m) values, with the maximum reaching 261 and 180% of the control, respectively. Concentrations from 140 to 150 microg/ml had the opposite effect. These results were consistent with previous reports on the effects of REEs on plant growth. It was concluded that the Ce(III)-induced change of mitochondrial metabolic activity is a possible mechanism by which Ce(III) influenced indice rice 9311 growth. PMID:18649319

  12. Indices to Study the Electrical Power Signals in Active and Passive Distribution Lines: A Combined Analysis with Empirical Mode Decomposition

    Silvano Vergura

    2016-03-01

    Full Text Available The broad diffusion of renewable energy-based technologies has introduced several open issues in the design and operation of smart grids (SGs when distributed generators (DGs inject a large amount of power into the grid. In this paper, a theoretical investigation on active and reactive power data is performed for one active line characterized by several photovoltaic (PV plants with a great amount of injectable power and two passive lines, one of them having a small peak power PV plant and the other one having no PV power. The frequencies calculated via the empirical mode decomposition (EMD method based on the Hilbert-Huang transform (HHT are compared to the ones obtained via the fast Fourier transform (FFT and the wavelet transform (WT, showing a wider spectrum of significant modes mainly due to the non-periodical behavior of the power signals. The results obtained according to the HHT-EMD analysis are corroborated by the calculation of three new indices that are computed starting from the electrical signal itself and not from the Hilbert spectrum. These indices give the quantitative deviation from the periodicity and the coherence degree of the power signals, which typically deviate from the stationary regime and have a nonlinear behavior in terms of amplitude and phase. This information allows to extract intrinsic features of power lines belonging to SGs and this is useful for their optimal operation and planning.

  13. Vibro-fluidized bed heat pump drying of mint leaves with respect to phenolic content, antioxidant activity, and color indices

    Ataei Ardestani Seyed Majid

    2015-01-01

    Full Text Available Because of high porosity and stickiness of mint leaves, they could not be fluidized well during fluidization. In this study, a vibro-fluidized bed dryer assisted heat pump system was designed and fabricated to overcome this problem. The drying experiments were carried out at temperatures of 40, 50 and 60 °C. The quality of the dehydrated samples was assessed based on color indices, antioxidant activity, and total phenolic content. Drying process primarily occurred in falling rate period. The effective coefficient of moisture transfer of the samples was increased with air temperature and varied from 4.26656×10-11 to 2.95872×10-10 m2 s-1 for heat pump drying (HPD method, and 3.71918×10-11 to 1.29196×10-10 m2 s-1 for none-heat pump drying (NHPD method. The color indices for temperatures of 40 and 50 °C were very close to each other, whereas by increasing temperature to 60 °C, a remarkable loss of green color was observed. The highest phenolic content was found in methanolic extract for HPD at 60 °C, and NHPD at 50 °C contained the lowest amount of phenolic compounds. NHPD treatments showed lower antioxidant activity compared to HPD treatments at the same temperature due to the longer drying times.

  14. Comparison and evaluation of indicator dilution models for bolus of ultrasound contrast agents

    Dynamic contrast-enhanced ultrasound (DCE-US) imaging is a promising diagnostic method, which enables the evaluation of tissue perfusion via different parameters. The mean transit time and time-to-peak parameters are the main time parameters and their values depend on the model used for the approximation of the noisy perfusion curves. In this paper, we described a new comparison of different perfusion models using a tissue mimicking phantom. The following models were compared: log-normal, lagged, Erlang, Gamma and the local density random walk model. We discovered that the mean-square error is not the best criterion for model evaluation. More important is the comparison between the estimated time perfusion parameters and the physical parameters of the developed tissue mimicking phantom. Based on the statistical analysis, we can suggest that for the DCE-US perfusion analysis more models should be used, excluding the log-normal model, which gives the highest error of mean transit time value. (paper)

  15. Goal Oriented Activity Towards Life Skill Training: Preliminary Indications of a Task-intensive Approach to Manage Cerebral Palsy

    Saumen Gupta

    2013-02-01

    Full Text Available Purpose: To devise a viable programme of intervention for older people with Cerebral Palsy (CP. Methods: Using focus group interviews, a ‘top down’ model of intervention was devised among older children and adolescents with CP. Ten participants volunteered and a custom tailored approach was employed, in keeping with the participants’ goals. Results: The outcomes are described qualitatively. Conclusions: There are preliminary indications that the programme is versatile and feasible. Further trials must be conducted before conclusive comments can be made.

  16. Modelling land use changes according to transportation scenarios using raster based GIS indicators

    Fuglsang, Morten; Münier, Bernd; Hansen, Henning Sten

    2012-01-01

    the cellular automata model LUCIA. An Eastern Danish case area was selected, comprising the Copenhagen metropolitan area and its hinterland. The different scenarios are described using a range of different GIS datasets. These include mapping of accessibility based on public and private transportation...... consumption. This will lead to less impact on climate from transportation based on a more optimal localization and transport infrastructure strategy....... the EU-FP7 research project PASHMINA (Paradigm Shift modelling and innovative approaches), three storylines of future transportation paradigm shifts towards 2050 are created. These storylines are translated into spatial planning strategies and their implication on land use changes were modelled via...

  17. Analysis of benthic macroinvertebrates and biotic indices to evaluate water quality in rivers impacted by mining activities in northern Chile

    Alvial I.E.

    2013-02-01

    Full Text Available Catchments in the semiarid regions are especially susceptible to environmental perturbation associated with water scarcity, hydrological variations and overuse by anthropogenic activities. Using multivariate analysis to relate environmental and biological data, and diversity and biotic indices (ChBMWP, ChIBF, we analyzed the macroinvertebrate composition of 12 rivers of the semiarid region of northern Chile. A non-metric multidimensional scaling for macroinvertebrate taxa and a principal component analysis for environmental variables strongly separated upstream sites (e.g. Vacas Heladas and Malo Rivers, which presented low pH and high dissolved metal concentrations, from other sites. Effectively, CCA showed that metals and low pH, associated with the altitudinal gradient, determined the distributional patterns of macroinvertebrates in the Elqui catchment. The causes of these particular conditions could be related to geological processes and human impact. The biotic indices applied to the sampling sites corroborated and reflected these characteristics, with La Laguna and Turbio Rivers showing a diverse macroinvertebrate community and moderate to good water quality, and the Claro River showing favorable conditions for the development of aquatic biota, indicating its better quality relative to other stations. To the middle and low part of the basin, a change in the composition of the community was observed, with species that suggest an impact by an increase in organic matter, due to agricultural activities and urban settlements concentrated in this area. Our results suggest that macroinvertebrate taxa in northern Chile may be exceptional species, adapted to unfavorable geochemical conditions, and emphasize the need for protection of the semiarid basins of the region.

  18. Model Behavior Analysis of Stock Market Indicators and Listed Companies: Evidence from the Ghana Stock Exchange: Automated versus Floor Trading

    Gladys A. A. Nabieu

    2014-10-01

    Full Text Available This article studies the model behavior analysis of stock market indicators and listed companies on the GhanaStock Exchange (GSE over a five year period. The Ghana Stock Exchange transferred from floor trading toautomation in June 2009. The GSE operates an up to date market for recurrently traded securities and an auctioncall for rarely traded securities. Data for this study was extracted from GSE’s profile of listed companies (factbook for the period under investigation. The study results show a significant progress on stock marketindicators within 2007 to 2011 in dividend yield, volume traded, share price, market capitalization and marketreturns following the automation in mid 2009, equity premium however, decreased and no significant effects onliquidity were detected. The study further revealed that, the introduction of the electronic trading system hassignificantly increased the tempo of trading activities on the Ghanaian Stock Market. The study recommends theGSE to accommodate all quoted securities as this will promote and improve fund raising for investors.

  19. On a Quantum Model of Brain Activities

    Fichtner, K.-H.; Fichtner, L.; Freudenberg, W.; Ohya, M.

    2010-01-01

    One of the main activities of the brain is the recognition of signals. A first attempt to explain the process of recognition in terms of quantum statistics was given in [6]. Subsequently, details of the mathematical model were presented in a (still incomplete) series of papers (cf. [7, 2, 5, 10]). In the present note we want to give a general view of the principal ideas of this approach. We will introduce the basic spaces and justify the choice of spaces and operations. Further, we bring the model face to face with basic postulates any statistical model of the recognition process should fulfill. These postulates are in accordance with the opinion widely accepted in psychology and neurology.

  20. APT cost scaling: Preliminary indications from a Parametric Costing Model (PCM)

    A Parametric Costing Model has been created and evaluate as a first step in quantitatively understanding important design options for the Accelerator Production of Tritium (APT) concept. This model couples key economic and technical elements of APT in a two-parameter search of beam energy and beam power that minimizes costs within a range of operating constraints. The costing and engineering depth of the Parametric Costing Model is minimal at the present open-quotes entry levelclose quotes, and is intended only to demonstrate a potential for a more-detailed, cost-based integrating design tool. After describing the present basis of the Parametric Costing Model and giving an example of a single parametric scaling run derived therefrom, the impacts of choices related to resistive versus superconducting accelerator structures and cost of electricity versus plant availability (open-quotes load curveclose quotes) are reported. Areas of further development and application are suggested

  1. Mathematical modelling and quality indices optimization of automatic control systems of reactor facility

    The mathematical modeling of automatic control systems of reactor facility WWER-1000 with various regulator types is considered. The linear and nonlinear models of neutron power control systems of nuclear reactor WWER-1000 with various group numbers of delayed neutrons are designed. The results of optimization of direct quality indexes of neutron power control systems of nuclear reactor WWER-1000 are designed. The identification and optimization of level control systems with various regulator types of steam generator are executed

  2. Using globally available soil moisture indicators for flood modelling in Mediterranean catchments

    Massari, C.; L. Brocca; S. Barbetta; Papathanasiou, C.; M. Mimikou; T. Moramarco

    2013-01-01

    Floods are one of the most dangerous natural hazards in Mediterranean regions. Flood forecasting tools and early warning systems can be very beneficial to reduce flood risk. Event-based rainfall runoff models are frequently employed for operational flood forecasting purposes because of their simplicity and the reduced number of parameters involved with respect to continuous models. However, the advantages that are related with the reduced parameterization face against the need for a correct i...

  3. Using globally available soil moisture indicators for flood modelling in Mediterranean catchments

    Massari, C.; L. Brocca; S. Barbetta; Papathanasiou, C.; M. Mimikou; T. Moramarco

    2014-01-01

    Floods are one of the most dangerous natural hazards in Mediterranean regions. Flood forecasting tools and early warning systems can be very beneficial to reducing flood risk. Event-based rainfall–runoff models are frequently employed for operational flood forecasting purposes because of their simplicity and the reduced number of parameters involved with respect to continuous models. However, the advantages related to the reduced parameterization oppose to the need of a corr...

  4. Modeling Movements in Oil, Gold, Forex and Market Indices using Search Volume Index and Twitter Sentiments

    Tushar Rao; Saket Srivastava

    2012-01-01

    Study of the forecasting models using large scale microblog discussions and the search behavior data can provide a good insight for better understanding the market movements. In this work we collected a dataset of 2 million tweets and search volume index (SVI from Google) for a period of June 2010 to September 2011. We perform a study over a set of comprehensive causative relationships and developed a unified approach to a model for various market securities like equity (Dow Jones Industrial ...

  5. Comparative MD Simulations Indicate a Dual Role for Arg1323.50 in Dopamine-Dependent D2R Activation.

    Ralf C Kling

    Full Text Available Residue Arg3.50 belongs to the highly conserved DRY-motif of class A GPCRs, which is located at the bottom of TM3. On the one hand, Arg3.50 has been reported to help stabilize the inactive state of GPCRs, but on the other hand has also been shown to be crucial for stabilizing active receptor conformations and mediating receptor-G protein coupling. The combined results of these studies suggest that the exact function of Arg3.50 is likely to be receptor-dependent and must be characterized independently for every GPCR. Consequently, we now present comparative molecular-dynamics simulations that use our recently described inactive-state and Gα-bound active-state homology models of the dopamine D2 receptor (D2R, which are either bound to dopamine or ligand-free, performed to identify the function of Arg1323.50 in D2R. Our results are consistent with a dynamic model of D2R activation in which Arg1323.50 adopts a dual role, both by stabilizing the inactive-state receptor conformation and enhancing dopamine-dependent D2R-G protein coupling.

  6. MODEL OF ACTIVITY OF THE ENTERPRISE AS MODEL OF ACTIVITY OF THE HUMAN: SEARCH ANALYSIS

    Ruslan Flerovich Vildanov; Aidar Sultangalievich Puryaev

    2014-01-01

    Actualized demand of manufactury company's efficiency from the point of quality charachteristics. Reveal unbreakable connection of man and organisation, on example of the comparative analysis of man's and manufacture company's activities. Studing models of company's and men's activities in order to reveal similarity. In order of their implementation to the economics assumes opportunity of using scientific methods, which use for studying functions, vital activities and behavior of the men.

  7. INDICATOR OF ENVIRONMENTAL PROBLEMS OF AGRICULTURAL SECTORS UNDER THE ENVIRONMENTAL MODELING

    Pruethsan Sutthichaimethee; Yothin Sawangdee

    2016-01-01

    The objective of this research is to propose an indicator to deal with environmental problems for agricultural sectors caused by goods and services production. The aspects to calculate the real benefit of agricultural sectors and environmental cost for analyzing are natural resources materials, energy and transportation, fertilizer and pesticides, and sanitary and similar service. From the research it was found that the highest environmental cost of natural resources materials was 026: charco...

  8. Modelling the Dynamics of Credit Spreads of European Corporate Bond Indices

    Gabrielsen, Alexandros

    2010-01-01

    Credit spreads are important financial tools, since they are used as indicators of economic progression, investment decisions, trading and hedging, as well as pricing credit derivatives. Their role has become more significant for the European fixed income markets since the introduction of the Euro, which reshaped the mechanics of the financial environment. The introduction of single currency provided the means for a pan-European economic growth and cross-border development, liberalized a vast...

  9. IMPACT OF GREENHOUSE EFFECT GASES ON CLIMATIC CHANGES. MEASUREMENT INDICATORS AND FORECAST MODELS

    Valentina Vasile; Mariana Balan

    2008-01-01

    The existence of a heavier layer of greenhouse effect gases at the level of theentire planet triggered significant climate changes. The paper intends to present the mainenvironmental indicators elaborated by various specialised international bodies, and themodels used by different governmental or non-governmental European bodies for studying theimpact of greenhouse effect gas emissions on climatic changes or economic development.Also, a comparative analysis was made about the performance indi...

  10. Combinations of physical activity, sedentary behaviour and sleep: relationships with health indicators in school-aged children and youth.

    Saunders, Travis John; Gray, Casey Ellen; Poitras, Veronica Joan; Chaput, Jean-Philippe; Janssen, Ian; Katzmarzyk, Peter T; Olds, Timothy; Connor Gorber, Sarah; Kho, Michelle E; Sampson, Margaret; Tremblay, Mark S; Carson, Valerie

    2016-06-01

    The purpose of this systematic review was to determine how combinations of physical activity (PA), sedentary behaviour (SB), and sleep were associated with important health indicators in children and youth aged 5-17 years. Online databases (MEDLINE, EMBASE, SPORTdiscus, CINAHL, and PsycINFO) were searched for relevant studies examining the relationship between time spent engaging in different combinations of PA, SB, and sleep with the following health indicators: adiposity, cardiometabolic biomarkers, physical fitness, emotional regulation/psychological distress, behavioural conduct/pro-social behaviour, cognition, quality of life/well-being, injuries, bone density, motor skill development, and self-esteem. PA had to be objectively measured, while sleep and SB could be objectively or subjectively measured. The quality of research evidence and risk of bias for each health indicator and for each individual study was assessed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. A total of 13 cross-sectional studies and a single prospective cohort study reporting data from 36 560 individual participants met the inclusion criteria. Children and youth with a combination of high PA/high sleep/low SB had more desirable measures of adiposity and cardiometabolic health compared with those with a combination of low PA/low sleep/high SB. Health benefits were also observed for those with a combination of high PA/high sleep (cardiometabolic health and adiposity) or high PA/low SB (cardiometabolic health, adiposity and fitness), compared with low PA/low sleep or low PA/high SB. Of the 3 movement behaviours, PA (especially moderate- to vigorous-intensity PA) was most consistently associated with desirable health indicators. Given the lack of randomized trials, the overall quality of the available evidence was low. PMID:27306434

  11. Development of a generic activities model of command and control

    Stanton, NA; Baber, C; Walker, GH; Houghton, RJ; McMaster, R.; Stewart, R; Harris, D.; Jenkins, DP; Young, MS; Salmon, PM

    2008-01-01

    This paper reports on five different models of command and control. Four different models are reviewed: a process model, a contextual control model, a decision ladder model and a functional model. Further to this, command and control activities are analysed in three distinct domains: armed forces, emergency services and civilian services. From this analysis, taxonomies of command and control activities are developed that give rise to an activities model of command and control. This model w...

  12. [Zinc homeostasis and indicators of muscle activity in experimental graduated exercise on the background of zinc asparaginate].

    Skalny, A A; Tinkov, A A; Medvedeva, Yu S; Alchinova, I B; Bonitenko, E Yu; Karganov, M Yu; Nikonorov, A A

    2015-01-01

    The influence of a regular (for 7 and 14 days) 10-minute dosed exercise in isolation and on the background of intragastric administration of 5 and 15 mg/kg of zinc (II) asparaginate on the distribution of this metal in the organs and tissues of experimental animals and the indicators of muscle activity such as the level of lactate, creatinine and creatine kinase (EC 2.7.3.2.) serum were studied. It has been shown that exercise stress for 14 days causes a more pronounced change in homeostasis Zn, compared with 7 day, it is reflected in increased levels in the kidney, serum, liver, skeletal muscle and fur animals. It has been shown that graduated exercise for 14 days causes a more pronounced change in Zn homeostasis, compared with 7 day that expressed in increased its levels in the kidney, serum, liver, skeletal muscle and fur animals. Introduction zinc (II) asparaginate accompanied by an increase of its content in the liver, kidneys, hair and serum, but not skeletal and cardiac muscle. The combination of physical activity and the introduction of zinc positive effect on homeostasis of Zn, and the terms of muscle activity. The protective effect of zinc asparaginate with graduated exercise in the experiment was concluded. PMID:27116879

  13. Modeling drought impact occurrence based on climatological drought indices for four European countries

    Stagge, James H.; Kohn, Irene; Tallaksen, Lena M.; Stahl, Kerstin

    2014-05-01

    The relationship between atmospheric conditions and the likelihood of a significant drought impact has, in the past, been difficult to quantify, particularly in Europe where political boundaries and language have made acquiring comprehensive drought impact information difficult. As such, the majority of studies linking meteorological drought with the occurrence or severity of drought impacts have previously focused on specific regions, very detailed impact types, or both. This study describes a new methodology to link the likelihood of drought impact occurrence with climatological drought indices across different European climatic regions and impact sectors using the newly developed European Drought Impact report Inventory (EDII), a collaborative database of drought impact information (www.geo.uio.no/edc/droughtdb/). The Standardized Precipitation Index (SPI) and Standardized Precipitation-Evapotranspiration Index (SPEI) are used as predictor variables to quantify meteorological drought severity over prior time periods (here 1, 2, 3, 6, 9, 12, and 24 months are used). The indices are derived using the gridded WATCH Forcing Datasets, covering the period 1958-2012. Analysis was performed using logistic regression to identify the climatological drought index and accumulation period, or linear combination of drought indices, that best predicts the likelihood of a documented drought impact, defined by monthly presence/absence. The analysis was carried out for a subset of four European countries (Germany, UK, Norway, Slovenia) and four of the best documented impact sectors: Public Water Supply, Agriculture and Livestock Farming, Energy and Industry, and Environmental Quality. Preliminary results show that drought impacts in these countries occur most frequently due to a combination of short-term (2-6 month) precipitation deficits and long-term (12-24 month) potential evapotranspiration anomaly, likely associated with increased temperatures. Agricultural drought impacts

  14. Inferring brain-computational mechanisms with models of activity measurements.

    Kriegeskorte, Nikolaus; Diedrichsen, Jörn

    2016-10-01

    High-resolution functional imaging is providing increasingly rich measurements of brain activity in animals and humans. A major challenge is to leverage such data to gain insight into the brain's computational mechanisms. The first step is to define candidate brain-computational models (BCMs) that can perform the behavioural task in question. We would then like to infer which of the candidate BCMs best accounts for measured brain-activity data. Here we describe a method that complements each BCM by a measurement model (MM), which simulates the way the brain-activity measurements reflect neuronal activity (e.g. local averaging in functional magnetic resonance imaging (fMRI) voxels or sparse sampling in array recordings). The resulting generative model (BCM-MM) produces simulated measurements. To avoid having to fit the MM to predict each individual measurement channel of the brain-activity data, we compare the measured and predicted data at the level of summary statistics. We describe a novel particular implementation of this approach, called probabilistic representational similarity analysis (pRSA) with MMs, which uses representational dissimilarity matrices (RDMs) as the summary statistics. We validate this method by simulations of fMRI measurements (locally averaging voxels) based on a deep convolutional neural network for visual object recognition. Results indicate that the way the measurements sample the activity patterns strongly affects the apparent representational dissimilarities. However, modelling of the measurement process can account for these effects, and different BCMs remain distinguishable even under substantial noise. The pRSA method enables us to perform Bayesian inference on the set of BCMs and to recognize the data-generating model in each case.This article is part of the themed issue 'Interpreting BOLD: a dialogue between cognitive and cellular neuroscience'. PMID:27574316

  15. QSTR with extended topochemical atom (ETA) indices. 14. QSAR modeling of toxicity of aromatic aldehydes to Tetrahymena pyriformis

    Roy, Kunal, E-mail: kunalroy_in@yahoo.com [Drug Theoretics and Cheminformatics Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700 032 (India); Das, Rudra Narayan [Drug Theoretics and Cheminformatics Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700 032 (India)

    2010-11-15

    Aldehydes are a toxic class of chemicals causing severe health hazards. In this background, quantitative structure-toxicity relationship (QSTR) models have been developed in the present study using Extended Topochemical Atom (ETA) indices for a large group of 77 aromatic aldehydes for their acute toxicity against the protozoan ciliate Tetrahymena pyriformis. The ETA models have been compared with those developed using various non-ETA topological indices. Attempt was also made to include the n-octanol/water partition coefficient (log K{sub o/w}) as an additional descriptor considering the importance of hydrophobicity in toxicity prediction. Thirty different models were developed using different chemometric tools. All the models have been validated using internal validation and external validation techniques. The statistical quality of the ETA models was found to be comparable to that of the non-ETA models. The ETA models have shown the important effects of steric bulk, lipophilicity, presence of electronegative atom containing substituents and functionality of the aldehydic oxygen to the toxicity of the aldehydes. The best ETA model (without using log K{sub o/w}) shows encouraging statistical quality (Q{sub int}{sup 2}=0.709,Q{sub ext}{sup 2}=0.744). It is interesting to note that some of the topological models reported here are better in statistical quality than previously reported models using quantum chemical descriptors.

  16. "Ecological Value Added" in an Integrated Ecosystem-Economy Model. An Indicator for Sustainability

    Kratena, Kurt

    2001-01-01

    This paper sets up an input-output system of the relevant ecosystem flows that determine the carbon cycle in the global ecosystem. Introducing energy as the value added component in the ecosystem, the flows can be expressed in "energy values". Linking the ecosystem input-output model with the economy input-output model allows to calculate the ecosystem costs of excessive fossil energy use in terms of additional carbon sinks for emission absorption, that need solar energy input, i.e. "ecologic...

  17. The integration of bioclimatic indices in an objective probabilistic model for establishing and mapping viticulture suitability in a region

    Moral García, Francisco J.; Rebollo, Francisco J.; Paniagua, Luis L.; García, Abelardo

    2014-05-01

    Different bioclimatic indices have been proposed to determine the wine suitability in a region. Some of them are related to the air temperature, but the hydric component of climate should also be considered which, in turn, is influenced by the precipitation during the different stages of the grapevine growing and ripening periods. In this work we propose using the information obtained from 10 bioclimatic indices and variables (heliothermal index, HI, cool night index, CI, dryness index, DI, growing season temperature, GST, the Winkler index, WI, September mean thermal amplitude, MTA, annual precipitation, AP, precipitation during flowering, PDF, precipitation before flowering, PBF, and summer precipitation, SP) as inputs in an objective and probabilistic model, the Rasch model, with the aim of integrating the individual effects of them, obtaining the climate data that summarize all main bioclimatic indices which could influence on wine suitability, and utilize the Rasch measures to generate homogeneous climatic zones. The use of the Rasch model to estimate viticultural suitability constitutes a new application of great practical importance, enabling to rationally determine locations in a region where high viticultural potential exists and establishing a ranking of the bioclimatic indices or variables which exerts an important influence on wine suitability in a region. Furthermore, from the measures of viticultural suitability at some locations, estimates can be computed using a geostatistical algorithm, and these estimates can be utilized to map viticultural suitability potential in a region. To illustrate the process, an application to Extremadura, southewestern Spain, is shown. Keywords: Rasch model, bioclimatic indices, GIS.

  18. University teachers ICT competence: evaluation indicators based on a pedagogical model

    Prendes Espinosa, Mª Paz; Castañeda Quintero, Linda Johanna; Gutierrez Porlan, Isabel Del Carmelo

    2010-01-01

    In this paper we explain the process of building a catalogue of indicators to analyse, evaluate and promote the competence of university teachers in ICT. We are going to include here the description of every phase of the process of building the catalogue, as well as the catalogue itself. Finally we want to highlight these phases in order to analyse them, as a prerequisite to using them in a study with teachers, with the objective of opening new means of debate about one of the crucial element...

  19. Risk indicator model - Application to dropped loads due to crane operations

    Røsnes, Silje

    2011-01-01

    Today crane and lifting operations contribute significantly to the risks in the petroleum industry. They are responsible for a minor percentage of serious injuries, but have a large number of fatalities in relation to unwanted events. Nine out of ten fatal accidents that have occurred during petroleum activities on Norwegian shelf since 1994 have occurred in connection with lifting operations. There has been recent development in triggering causes for falling loads, this years RNNP report ...

  20. A dynamic factor model of the coincident indicators for the US transportation sector

    LAHIRI, KAJAL; Yao, Wenxiong

    2004-01-01

    This paper studies the business cycle features of the transportation sector using dynamic factor models. The transportation reference cycles peak ahead of the economic cycles, but lag by a few months at troughs. The asymmetric relationship between these two suggests the usefulness of transportation in monitoring business cycles.

  1. CONSUMER BEHAVIOR AND ENTERPRISE AGILITY – A MODEL OF THE SURVEYED INDICATORS

    BOIER Rodica

    2009-05-01

    Full Text Available Enhancing the agility of the response to market demands is one of the most desirable qualities for the management of today’s enterprise, which is facing an unstable environment, with abrupt, frequent and unpredictable changes. The paper proposes a model o

  2. State-space modeling indicates rapid invasion of an alien shrub in coastal dunes

    Damgaard, Christian Frølund; Nygaard, Bettina; Ejrnæs, Rasmus;

    2011-01-01

    Invasion by alien plants has negative effects on coastal dunes. Monitoring local spread of invasive species depends on long-term data with sufficient spatial resolution. Bayesian state-space models are a new method for monitoring invasive plants based on unbalanced permanent-plot data. The method...

  3. CONSUMER BEHAVIOR AND ENTERPRISE AGILITY – A MODEL OF THE SURVEYED INDICATORS

    BOIER Rodica

    2009-01-01

    Enhancing the agility of the response to market demands is one of the most desirable qualities for the management of today’s enterprise, which is facing an unstable environment, with abrupt, frequent and unpredictable changes. The paper proposes a model o

  4. Comparison and evaluation of indicator dilution models for bolus of ultrasound contrast agents

    Harabis, V.; Kolář, R.; Mézl, M.; Jiřík, Radovan

    2013-01-01

    Roč. 34, č. 2 (2013), s. 151-162. ISSN 0967-3334 R&D Projects: GA ČR GAP102/12/2380 Institutional support: RVO:68081731 Keywords : perfusion model * ultrasound * contrast agent * intravascular perfusion * tissue phantom Subject RIV: FS - Medical Facilities ; Equipment Impact factor: 1.617, year: 2013

  5. Establishing an Integration-Energy-Practice Model for Improving Energy Performance Indicators in ISO 50001 Energy Management Systems

    Tsung-Yung Chiu; Yung-Yin Tsai; Shang-Lien Lo

    2012-01-01

    Global energy sources are gradually becoming scarce and prices are continually rising. Governments and businesses in various countries are actively developing technologies for energy management and developing new sources of energy. On 15 June 2011, the International Organization for Standardization (ISO) announced the ISO 50001 standard for energy management systems. Organizations and enterprises are confronted with challenges associated with enhancing energy performance indicators, continuin...

  6. Modeling Aspects Of Activated Sludge Processes Part I: Process Modeling Of Activated Sludge Facilitation And Sedimentation

    Process modeling of activated sludge flocculation and sedimentation reviews consider the activated sludge floc characteristics such as: morphology viable and non-viable cell ratio density and water content, bio flocculation and its kinetics were studied considering the characteristics of bio flocculation and explaining theory of Divalent Cation Bridging which describes the major role of cations in bio flocculation. Activated sludge flocculation process modeling was studied considering mass transfer limitations from Clifft and Andrew, 1981, Benefild and Molz 1983 passing Henze 1987, until Tyagi 1996 and G. Ibrahim et aI. 2002. Models of aggregation and breakage of flocs were studied by Spicer and Pratsinis 1996,and Biggs 2002 Size distribution of floes influences mass transfer and biomass separation in the activated sludge process. Therefore, it is of primary importance to establish the role of specific process operation factors, such as sludge loading dynamic sludge age and dissolved oxygen, on this distribution with special emphasis on the formation of primary particles

  7. Modeling the dynamics of DDT in a remote tropical floodplain: indications of post-ban use?

    Mendez, Annelle; Ng, Carla A; Torres, João Paulo Machado; Bastos, Wanderley; Bogdal, Christian; Dos Reis, George Alexandre; Hungerbuehler, Konrad

    2016-06-01

    Significant knowledge gaps exist regarding the fate and transport of persistent organic pollutants like dichlorodiphenyltrichloroethane (DDT) in tropical environments. In Brazil, indoor residual spraying with DDT to combat malaria and leishmaniasis began in the 1950s and was banned in 1998. Nonetheless, high concentrations of DDT and its metabolites were recently detected in human breast milk in the community of Lake Puruzinho in the Brazilian Amazon. In this work, we couple analysis of soils and sediments from 2005 to 2014 at Puruzinho with a novel dynamic floodplain model to investigate the movement and distribution of DDT and its transformation products (dichlorodiphenyldichloroethylene (DDE) and dichlorodiphenyldichloroethane (DDD)) and implications for human exposure. The model results are in good agreement with the accumulation pattern observed in the measurements, in which DDT, DDE, and DDD (collectively, DDX) accumulate primarily in upland soils and sediments. However, a significant increase was observed in DDX concentrations in soil samples from 2005 to 2014, coupled with a decrease of DDT/DDE ratios, which do not agree with model results assuming a post-ban regime. These observations strongly suggest recent use. We used the model to investigate possible re-emissions after the ban through two scenarios: one assuming DDT use for IRS and the other assuming use against termites and leishmaniasis. Median DDX concentrations and p,p'-DDT/p,p'-DDE ratios from both of these scenarios agreed with measurements in soils, suggesting that the soil parameterization in our model was appropriate. Measured DDX concentrations in sediments were between the two re-emission scenarios. Therefore, both soil and sediment comparisons suggest re-emissions indeed occurred between 2005 and 2014, but additional measurements would be needed to better understand the actual re-emission patterns. Monte Carlo analysis revealed model predictions for sediments were very sensitive to highly

  8. Building Analysis for Urban Energy Planning Using Key Indicators on Virtual 3d City Models - the Energy Atlas of Berlin

    Krüger, A.; Kolbe, T. H.

    2012-07-01

    In the context of increasing greenhouse gas emission and global demographic change with the simultaneous trend to urbanization, it is a big challenge for cities around the world to perform modifications in energy supply chain and building characteristics resulting in reduced energy consumption and carbon dioxide mitigation. Sound knowledge of energy resource demand and supply including its spatial distribution within urban areas is of great importance for planning strategies addressing greater energy efficiency. The understanding of the city as a complex energy system affects several areas of the urban living, e.g. energy supply, urban texture, human lifestyle, and climate protection. With the growing availability of 3D city models around the world based on the standard language and format CityGML, energy system modelling, analysis and simulation can be incorporated into these models. Both domains will profit from that interaction by bringing together official and accurate building models including building geometries, semantics and locations forming a realistic image of the urban structure with systemic energy simulation models. A holistic view on the impacts of energy planning scenarios can be modelled and analyzed including side effects on urban texture and human lifestyle. This paper focuses on the identification, classification, and integration of energy-related key indicators of buildings and neighbourhoods within 3D building models. Consequent application of 3D city models conforming to CityGML serves the purpose of deriving indicators for this topic. These will be set into the context of urban energy planning within the Energy Atlas Berlin. The generation of indicator objects covering the indicator values and related processing information will be presented on the sample scenario estimation of heating energy consumption in buildings and neighbourhoods. In their entirety the key indicators will form an adequate image of the local energy situation for

  9. INDICATOR OF ENVIRONMENTAL PROBLEMS OF AGRICULTURAL SECTORS UNDER THE ENVIRONMENTAL MODELING

    Pruethsan Sutthichaimethee

    2016-04-01

    Full Text Available The objective of this research is to propose an indicator to deal with environmental problems for agricultural sectors caused by goods and services production. The aspects to calculate the real benefit of agricultural sectors and environmental cost for analyzing are natural resources materials, energy and transportation, fertilizer and pesticides, and sanitary and similar service. From the research it was found that the highest environmental cost of natural resources materials was 026: charcoal and fire-wood, while the lowest was 010 coconut. The highest environmental cost for energy and transportation was 024: agricultural services, while the highest environmental cost for fertilizer and pesticides was 011: palm oil. lastly, 017: other agricultural products was found as the highest environmental cost for sanitary and similar service. As a result, 010: coconut gained the highest real benefit, while 024: agricultural services presented as the lowest read benefit for the company. If Thailand using environmental problem indicator, especially with the agricultural sector, it can help to formulate efficient policies and strategies for the country in 3 development areas, which are social, economic, and environmental development.

  10. Evaluation of a Model-Based Groundwater Drought Indicator in the Conterminous U.S.

    Li, Bailing; Rodell, Matthew

    2015-01-01

    Monitoring groundwater drought using land surface models is a valuable alternative given the current lack of systematic in situ measurements at continental and global scales and the low resolution of current remote sensing based groundwater data. However, uncertainties inherent to land surface models may impede drought detection, and thus should be assessed using independent data sources. In this study, we evaluated a groundwater drought index (GWI) derived from monthly groundwater storage output from the Catchment Land Surface Model (CLSM) using a GWI similarly derived from in situ groundwater observations. Groundwater observations were obtained from unconfined or semi-confined aquifers in eight regions of the central and northeastern U.S. Regional average GWI derived from CLSM exhibited strong correlation with that from observation wells, with correlation coefficients between 0.43 and 0.92. GWI from both in situ data and CLSM was generally better correlated with the Standard Precipitation Index (SPI) at 12 and 24 month timescales than at shorter timescales, but it varied depending on climate conditions. The correlation between CLSM derived GWI and SPI generally decreases with increasing depth to the water table, which in turn depends on both bedrock depth (a CLSM parameter) and mean annual precipitation. The persistence of CLSM derived GWI is spatially varied and again shows a strong influence of depth to groundwater. CLSM derived GWI generally persists longer than GWI derived from in situ data, due at least in part to the inability of coarse model inputs to capture high frequency meteorological variability at local scales. The study also showed that groundwater can have a significant impact on soil moisture persistence where the water table is shallow. Soil moisture persistence was estimated to be longer in the eastern U.S. than in the west, in contrast to previous findings that were based on models that did not represent groundwater. Assimilation of terrestrial

  11. Indications for different types of brittle failure due to active coal mining using waveform similarities of induced seismic events

    Wehling-Benatelli, S.; Becker, D.; Bischoff, M.; Friederich, W.; Meier, T.

    2013-10-01

    Longwall mining activity in the Ruhr coal mining district leads to mining-induced seismicity. For detailed studies the seismicity of a single longwall panel beneath the town of Hamm-Herringen in the eastern Ruhr area was monitored between June 2006 and July 2007 with a dense temporary network of 15 seismic stations. More than 7000 seismic events with magnitudes between -1.7 ≤ ML ≤ 2.0 were detected and localized in this period. Most of the events occurred in the vicinity of the moving longwall face. In order to find possible differences in the brittle failure types of these events an association of the events to distinct clusters is performed based on their waveform characteristics. This task is carried out using a new clustering algorithm utilizing a network similarity matrix which is created by combining all available 3-component single station similarity matrices. The resultant network matrix is then sorted with respect to the similarity of its rows leading to a sorted matrix immediately indicating the clustering of the event catalogue. Finally, clusters of similar events are extracted by visual inspection. This approach results in the identification of several large clusters which are distinct with respect to their spatial and temporal characteristics as well as their frequency magnitude distributions. Comparable clusters are also found with a conventional single linkage approach, however, the new routine seems to be able to associate more events to specific clusters without merging the clusters. The nine largest observed clusters can be tentatively divided into three different groups that indicate different types of brittle failure. The first group consists of the two largest clusters which constitute more than half of all recorded events. Results of a relative relocation using cross-correlation data suggest that these events are confined to the extent of the mined out longwall and cluster close to the edges of the active longwall at the depth of active

  12. Science dynamics and research production indicators, indexes, statistical laws and mathematical models

    Vitanov, Nikolay K

    2016-01-01

    This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communiti...

  13. Lower radiation weighting factor for radon indicated in mechanistic modelling of human lung cancer

    A two-mutation carcinogenesis (TMC) model was fitted to the age-dependent lung cancer incidence in a cohort of Dutch Hodgkin patients treated with radiotherapy. Employing the results of previous TMC analyses of lung cancer due to smoking (by British doctors) and due to exposure to radon (for Colorado miners) a model fit was obtained with an estimate for the low LET radiation effect at the cellular level. This allows risk calculations for lung cancer from low LET radiation. The excess absolute risks are in tune with the values reported in the literature, the excess relative risks differ among the exposed groups. Comparing the cellular radiation coefficients for radon and for low LET radiation leads to an estimated radiation weighting factor for radon of 3 (0.1-6). (author)

  14. SEMIFAR Models with Applications to Commodities, Exchange Rates and the Volatility of Stock Market Indices

    Beran, Jan; Feng, Yuanhua; Franke, Günter

    1999-01-01

    The distinction between stationarity, difference stationarity, deterministic trends as well as between short- and long-range dependence has a major impact on statistical conclusions, such as confidence intervals for population quantities or point and interval forecasts. In this paper, recent results on so-called SEMIFAR models introduced by Beran (1999) are summarized and their potential usefulness for economic time series analysis is illustrated by analyzing several commodities, exchange rat...

  15. Insights from a Novel Tumor Model: Indications for a Quantitative Link between Tumor Growth and Invasion

    Deisboeck, T S; Guiot, C; Degiorgis, P G; Delsanto, P P; Deisboeck, Thomas S.; Mansury, Yuri; Guiot, Caterina; Degiorgis, Piero Giorgio; Delsanto, Pier Paolo

    2003-01-01

    Using our previously developed model we demonstrate here, that (1) solid tumor growth and cell invasion are linked, not only qualitatively but also quantitatively, that (2) the onset of invasion marks the time point when the tumor cell density exceeds a compaction maximum, and that (3) tumor cell invasion, reduction of mechanical confinement and angiogenesis can act synergistically to increase the actual tumor mass towards the level predicted by West et al. universal growth curve.

  16. Research in modelling of pollutant missions and aggregated environmental indices for transport

    JOUMARD,R

    2001-01-01

    We try in this paper to present what is done in France in the research field covering the emissions of atmospheric pollutants and the energy consumption by the transport system, and to locate it in the European research. The applications are local or global. Local applications are for instance the influence of the traffic management or control on the emissions (and then air pollution), the local emission inventorying, the building of input data for air pollution modelling. More global applica...

  17. Seasonally Dependent Relationships between Indicators of Malaria Transmission and Disease Provided by Mathematical Model Simulations

    Stuckey, Erin M.; Smith, Thomas; Chitnis, Nakul

    2014-01-01

    Evaluating the effectiveness of malaria control interventions on the basis of their impact on transmission as well as impact on morbidity and mortality is becoming increasingly important as countries consider pre-elimination and elimination as well as disease control. Data on prevalence and transmission are traditionally obtained through resource-intensive epidemiological and entomological surveys that become difficult as transmission decreases. This work employs mathematical modeling to exam...

  18. Modeling lithium rich carbon stars in the Large Magellanic Cloud: an independent distance indicator ?

    Ventura, P.; D'Antona, F.; Mazzitelli, I.

    1999-01-01

    We present the first quantitative results explaining the presence in the Large Magellanic Cloud of some asymptotic giant branch stars that share the properties of lithium rich carbon stars. A self-consistent description of time-dependent mixing, overshooting, and nuclear burning was required. We identify a narrow range of masses and luminosities for this peculiar stars. Comparison of these models with the luminosities of the few Li-rich C stars in the Large Magellanic Cloud provides an indepe...

  19. Seasonally dependent relationships between indicators of malaria transmission and disease provided by mathematical model simulations

    Erin M Stuckey; Thomas Smith; Nakul Chitnis

    2014-01-01

    Evaluating the effectiveness of malaria control interventions on the basis of their impact on transmission as well as impact on morbidity and mortality is becoming increasingly important as countries consider pre-elimination and elimination as well as disease control. Data on prevalence and transmission are traditionally obtained through resource-intensive epidemiological and entomological surveys that become difficult as transmission decreases. This work employs mathematical modeling to exam...

  20. A Noval Security Model for Indic Scripts - A Case Study on Telugu

    Bhadri Raju MSVS

    2009-10-01

    Full Text Available Secured communication across the world in the information domain is of at most importance when many languages, several alphabets and various signs (glyphs found their existence. Data in the form of symbolic (text representation is the basis for the present work. For any cryptographic Process the two main parameters used are the algorithm and the key. Existing cryptographic systems divide the text into words and each word into characters where character is treated as basic unit. For each character, the corresponding bit stream is generated .The cryptographic system encrypts the bit stream and this bit stream represents a set of characters. The transformation of characters is the basis for the security system. While encrypting our emphasis is to retrieve the characters back from the transformed text. The frequency distribution of characters in the original text is reflected up to some extent in the transformed text. The complexity that is involved in the form of frequency distribution is the parameter that is addressed .But if the underlying language is highly complex then it may be difficult to determine a particular message . In fact the structure and complexity of the underlying language is an extremely important factor when trying to assess an attacker's likelihood of success. The unit of information in a given process can be represented in symbolic notation, which may correspond to a language. In case of Indic scripts the basic unit need not correspond to a character. The concept of syllable, which is the representative of a set of characters with their associative combinatorial units is the basis for the formation of text. Syllable formation inherently embedded with the pre defined rules which will be of a major concern for the cryptographic systems. The commonality among all Indic scripts is associated with syllable and at the same time the differences are found with the combinatorial system. A syllable is a set of character codes of

  1. Conceptual data modeling of wildlife response indicators to ecosystem change in the Arctic

    Walworth, Dennis; Pearce, John M.

    2015-01-01

    Large research studies are often challenged to effectively expose and document the types of information being collected and the reasons for data collection across what are often a diverse cadre of investigators of differing disciplines. We applied concepts from the field of information or data modeling to the U.S. Geological Survey (USGS) Changing Arctic Ecosystems (CAE) initiative to prototype an application of information modeling. The USGS CAE initiative is collecting information from marine and terrestrial environments in Alaska to identify and understand the links between rapid physical changes in the Arctic and response of wildlife populations to these ecosystem changes. An associated need is to understand how data collection strategies are informing the overall science initiative and facilitating communication of those strategies to a wide audience. We explored the use of conceptual data modeling to provide a method by which to document, describe, and visually communicate both enterprise and study level data; provide a simple means to analyze commonalities and differences in data acquisition strategies between studies; and provide a tool for discussing those strategies among researchers and managers.

  2. Metallogenic Model and Prospecting Indicators of the Boron Deposits in East Liaoning Area

    Qu Hongxiang; Zhang Guoren; Li Xiandong; Chen Shuliang; Yang Zhongzhu; Wang Zhongjiang

    2001-01-01

    The Paleoproterozoic boron deposits in east Liaoning occur in Mg- rich marble of Li' eryu Formation of Liaohe group. The mineralization was controlled by stratigraphic lithology. The volcano ~ sedimentation is the material base of ore-formation. Boron mainly derived from volcanic source. Boron in Li' eryu formation was activated and transferred by migmatization and then deposited into ore when metasomatism occurrs in Mg - rich marble. Structural deformation reconstructed the boron ore bodies. Meanwhile, ore - bearing hyd~othermal solution produced by structural deformation and remetasomated the host - ore rocks or filled in fissure of ore. Boron deposit is a stratabound deposit, which formed by migmatization and structural deformation mineralization.

  3. ACTIVE AND PARTICIPATORY METHODS IN BIOLOGY: MODELING

    Brînduşa-Antonela SBÎRCEA

    2011-01-01

    Full Text Available By using active and participatory methods it is hoped that pupils will not only come to a deeper understanding of the issues involved, but also that their motivation will be heightened. Pupil involvement in their learning is essential. Moreover, by using a variety of teaching techniques, we can help students make sense of the world in different ways, increasing the likelihood that they will develop a conceptual understanding. The teacher must be a good facilitator, monitoring and supporting group dynamics. Modeling is an instructional strategy in which the teacher demonstrates a new concept or approach to learning and pupils learn by observing. In the teaching of biology the didactic materials are fundamental tools in the teaching-learning process. Reading about scientific concepts or having a teacher explain them is not enough. Research has shown that modeling can be used across disciplines and in all grade and ability level classrooms. Using this type of instruction, teachers encourage learning.

  4. Monitoring the heavy metal atmospheric deposition in Romania using the neutron activation analysis of bio-indicators

    This research is the direct result of a protocol between NIPNE-HH Bucharest, Romania and JINR-Dubna, Russia on one side, and NIPNE-HH Bucharest, Romania and the University of Trondheim, Norway on the other side. Since the summer of 1995, a systematic sampling of bio-indicators has been carried out. The bio-indicators are represented by three species of bryophytes with an endemic development in the Romanian area: Hylocomium splendens, Hypnum cupresiforme and Pleurozium schreberi. A large area of 45,000 km2, including the Carpathian Arch between the Olt River Gorge (Southern Carpathian Mountains) and the northern Romanian border (Eastern Carpathian Mountains) was covered. Some of the samples were prepared in the laboratory and analyzed by nuclear analysis methods of a high sensitivity and accuracy i.e., neutron activation analysis and atomic absorption spectrometry. Other samples are to be prepared and analyzed. The results will be shown as distribution maps for heavy metal concentrations in the studied area. The analysis were carried out at NIPNE-HH-Bucharest, JINR-Dubna and Trondheim University. Part of the results have already been included in the European Atlas of the Heavy Metal Atmospheric Depositions, published by the Northern Countries Council. The distribution maps of atmospheric depositions in Romania will also be included in the above mentioned Atlas. (author)

  5. The effects of training based on BASNEF model and acupressure at GB21 point on the infants’ physical growth indicators

    marzieh akbarzadeh; nasrin bahmani; marzieh moattari; Saeede PourAhmad

    2014-01-01

    objective: Educational models are used to study the behavior and plan for changing and determining the factors that affect the individuals’ decision making for conducting a behavior. This study aimed to compare the effects of the educational program based on BASNEF model and acupressure at GB21 point on the infants’ physical growth indicators. Methods: This clinical trial was conducted on 150 (50 per group) pregnant women in 2011-2012. The interventions included educational program based o...

  6. Data warehouse model for monitoring key performance indicators (KPIs) using goal oriented approach

    Abdullah, Mohammed Thajeel; Ta'a, Azman; Bakar, Muhamad Shahbani Abu

    2016-08-01

    The growth and development of universities, just as other organizations, depend on their abilities to strategically plan and implement development blueprints which are in line with their vision and mission statements. The actualizations of these statements, which are often designed into goals and sub-goals and linked to their respective actors are better measured by defining key performance indicators (KPIs) of the university. The proposes ReGADaK, which is an extended the GRAnD approach highlights the facts, dimensions, attributes, measures and KPIs of the organization. The measures from the goal analysis of this unit serve as the basis of developing the related university's KPIs. The proposed data warehouse schema is evaluated through expert review, prototyping and usability evaluation. The findings from the evaluation processes suggest that the proposed data warehouse schema is suitable for monitoring the University's KPIs.

  7. Richards growth model and viability indicators for populations subject to interventions

    Selene Loibel

    2010-12-01

    Full Text Available In this work we study the problem of modeling identification of a population employing a discrete dynamic model based on the Richards growth model. The population is subjected to interventions due to consumption, such as hunting or farming animals. The model identification allows us to estimate the probability or the average time for a population number to reach a certain level. The parameter inference for these models are obtained with the use of the likelihood profile technique as developed in this paper. The identification method here developed can be applied to evaluate the productivity of animal husbandry or to evaluate the risk of extinction of autochthon populations. It is applied to data of the Brazilian beef cattle herd population, and the the population number to reach a certain goal level is investigated.Neste trabalho estudamos o problema de identificação do modelo de uma população utilizando um modelo dinâmico discreto baseado no modelo de crescimento de Richards. A população é submetida a intervenções devido ao consumo, como no caso de caça ou na criação de animais. A identificação do modelo permite-nos estimar a probabilidade ou o tempo médio de ocorrência para que se atinja um certo número populacional. A inferência paramétrica dos modelos é obtida através da técnica de perfil de máxima verossimilhança como desenvolvida neste trabalho. O método de identificação desenvolvido pode ser aplicado para avaliar a produtividade de criação animal ou o risco de extinção de uma população autóctone. Ele foi aplicado aos dados da população global de gado de corte bovino brasileiro, e é utilizado na investigação de a população atingir um certo número desejado de cabeças.

  8. The linkage between indicators of physical health, physical activity, theoretical preparation, mastery of motor actions and motivational-value areas of schoolchildren.

    Tomenko O. А.

    2011-03-01

    Full Text Available The highest rate linkages among the indicators used are fixed between the average level of motor activity and an index of motor activity, between the high level and the index of motor activity, motor activity between the index and the index of physical health.

  9. General trends in the change in solar activity indices in the period from the late XX to early XXI century

    Bruevich, E. A.; Yakunina, G. V.

    2015-12-01

    We present an analysis of observations of the indices of the sunspot numbers (SSN from the National Oceanic and Atmospheric Administration (NOAA)), the radio-emission flux at a wavelength of 10.7 cm ( F 10.7), and the Total Solar Irradiance (TSI) in cycles 22-24. We have found that the ratio of the observed values SSNobs to the calculated ones SSNsyn (from the regression relations between SSN and F 10.7) decreases after 1990 by 20-25%, rather than by 35%, as was supposed earlier. The characteristics of the most widely used SSN index, such as the decrease in sunspot numbers and magnetic field strength in small and medium spots, do not change in complete correspondence to the expected scenario of the solar activity development predicted from the flux F 10.7 in cycles 23 and 24; they also cannot be fully explained by an additional minimum of the secular cycle. We also showed that the observed SSN changes lead to an increase of the Total Solar Irradiance in activity cycles 23-24 as compared to that in cycle 22.

  10. Relationships between circulation indices and heavy precipitation over Central Europe in climate models

    Plavcová, Eva; Kyselý, Jan

    Bratislava: Výskumný ústav vodného hospodárstva, 2010, -. ISBN 978-80-89062-71-3. [Povodne 2010: príčiny, priebeh a skúsenosti. Štrbské pleso (SK), 03.11.2010-05.11.2010] R&D Projects: GA ČR GAP209/10/2265 Grant ostatní: Mšk(CZ) SVV-2010-261308 Institutional research plan: CEZ:AV0Z30420517 Keywords : Regional climate model * heavy precipitation * atmospheric circulation * Central Europe Subject RIV: DG - Athmosphere Sciences, Meteorology

  11. Activity coefficients in nearly athermal model polymer/solvent systems

    Sheng, Y.J.; Panagiotopoulos, A.Z. [Cornell Univ., Ithaca, NY (United States). School of Chemical Engineering; Tassios, D.P. [National Technical Univ. of Athens, Zographos (Greece). Dept. of Chemical Engineering

    1995-10-01

    Phase equilibria play a crucial role in the design of polymer manufacturing processes. Knowledge of the phase behavior of polymer/solvent solutions is especially important for polymer production and purification operations. Constant pressure Monte Carlo simulations were performed to study the activity coefficients of bead-spring polymers dissolved in a monomeric solvent. Activity coefficients were obtained for binary mixtures of monomer and 20-mer for compositions ranging from pure 20-mer to pure solvent, using the chain increment method to obtain the chemical potentials of long-chain solute and monomeric solvent. Infinite dilution activity coefficients were also calculated for polymeric solutes in monomeric solvents and monomeric solutes in polymeric solvents solutions with chain length up to 60. Such detailed information on activity coefficients in polymer/solvent systems with large size differences had not been available previously from simulation or experiment. Several engineering models were tested for their ability to predict the activity coefficients in these nearly a thermal systems. Results indicate that simple free-volume models can provide qualitatively accurate predictions for both short-chain solvent and long-chain solutes, provided that the functional form of the free-volume dependence is chosen appropriately.

  12. Optical recording of neuronal activity with a genetically-encoded calcium indicator in anesthetized and freely moving mice

    Henry Lütcke

    2010-04-01

    Full Text Available Fluorescent calcium (Ca2+ indicator proteins (FCIPs are promising tools for functional imaging of cellular activity in living animals. However, they have still not reached their full potential for in vivo imaging of neuronal activity due to limitations in expression levels, dynamic range, and sensitivity for reporting action potentials. Here, we report that viral expression of the ratiometric Ca2+ sensor yellow cameleon 3.60 (YC3.60 in pyramidal neurons of mouse barrel cortex enables in vivo measurement of neuronal activity with high dynamic range and sensitivity across multiple spatial scales. By combining juxtacellular recordings and two-photon imaging in vitro and in vivo, we demonstrate that YC3.60 can resolve single action potential (AP-evoked Ca2+ transients and reliably reports bursts of APs with negligible saturation. Spontaneous and whisker-evoked Ca2+ transients were detected in individual apical dendrites and somata as well as in local neuronal populations. Moreover, bulk measurements using wide-field imaging or fiber-optics revealed sensory-evoked YC3.60 signals in large areas of the barrel field. Fiber-optic recordings in particular enabled measurements in awake, freely moving mice and revealed complex Ca2+ dynamics, possibly reflecting different behavior-related brain states. Viral expression of YC3.60 - in combination with various optical techniques - thus opens a multitude of opportunities for functional studies of the neural basis of animal behavior, from dendrites to the levels of local and large-scale neuronal populations.

  13. Multi-Analytical Approach Reveals Potential Microbial Indicators in Soil for Sugarcane Model Systems.

    Navarrete, Acacio Aparecido; Diniz, Tatiana Rosa; Braga, Lucas Palma Perez; Silva, Genivaldo Gueiros Zacarias; Franchini, Julio Cezar; Rossetto, Raffaella; Edwards, Robert Alan; Tsai, Siu Mui

    2015-01-01

    This study focused on the effects of organic and inorganic amendments and straw retention on the microbial biomass (MB) and taxonomic groups of bacteria in sugarcane-cultivated soils in a greenhouse mesocosm experiment monitored for gas emissions and chemical factors. The experiment consisted of combinations of synthetic nitrogen (N), vinasse (V; a liquid waste from ethanol production), and sugarcane-straw blankets. Increases in CO2-C and N2O-N emissions were identified shortly after the addition of both N and V to the soils, thus increasing MB nitrogen (MB-N) and decreasing MB carbon (MB-C) in the N+V-amended soils and altering soil chemical factors that were correlated with the MB. Across 57 soil metagenomic datasets, Actinobacteria (31.5%), Planctomycetes (12.3%), Deltaproteobacteria (12.3%), Alphaproteobacteria (12.0%) and Betaproteobacteria (11.1%) were the most dominant bacterial groups during the experiment. Differences in relative abundance of metagenomic sequences were mainly revealed for Acidobacteria, Actinobacteria, Gammaproteobacteria and Verrucomicrobia with regard to N+V fertilization and straw retention. Differential abundances in bacterial groups were confirmed using 16S rRNA gene-targeted phylum-specific primers for real-time PCR analysis in all soil samples, whose results were in accordance with sequence data, except for Gammaproteobacteria. Actinobacteria were more responsive to straw retention with Rubrobacterales, Bifidobacteriales and Actinomycetales related to the chemical factors of N+V-amended soils. Acidobacteria subgroup 7 and Opitutae, a verrucomicrobial class, were related to the chemical factors of soils without straw retention as a surface blanket. Taken together, the results showed that MB-C and MB-N responded to changes in soil chemical factors and CO2-C and N2O-N emissions, especially for N+V-amended soils. The results also indicated that several taxonomic groups of bacteria, such as Acidobacteria, Actinobacteria and

  14. Modeling of indicators for evaluation the sustainability of artisanal fishing in the surrounding of the National Forest Ibura, northeastern Brazil

    Carlos Eduardo Silva

    2013-08-01

    Full Text Available Brazil is the holder of the greatest biodiversity on the planet, and can not shirk regarding the development of monitoring templates related to nature conservation and sustainable use of natural resources. In this sense, this research aimed to develop a model for evaluating indicators based on the methodology MESMIS (Marco para la Evaluación de Sistemas de Manejo de Recursos Naturales incorporando Indicadores de Sustentabilidade for use in its level of fishing communities or extractive related to protected areas, based on the existing community of fishermen in the surrounding National Forest Ibura, Brazil. The MESMIS the methodological basis was chosen for model development and evaluation indicators. Descriptive statistics analyzed censitariamente (N=100 with the minimum (MIN, medium (MED, desirable (P75, and maximum (MAX. The resulting model consists of 14 sustainability indicators that meet the attributes: (a productivity, (b stability, resilience and reliability, (c adaptability, (d equity, (e self-management. It is possible to conclude that there is technical feasibility and to develop mathematical models of sustainability assessment systems based on indicators. When reviewed in complex revealed that artisanal fisheries developed in the analyzed system has a Relative Sustainability Index (IRS of 26%. The results also demonstrated that it is possible to reach an IRS=33% based on the local situation (P75.

  15. Glass Durability Modeling, Activated Complex Theory (ACT)

    The most important requirement for high-level waste glass acceptance for disposal in a geological repository is the chemical durability, expressed as a glass dissolution rate. During the early stages of glass dissolution in near static conditions that represent a repository disposal environment, a gel layer resembling a membrane forms on the glass surface through which ions exchange between the glass and the leachant. The hydrated gel layer exhibits acid/base properties which are manifested as the pH dependence of the thickness and nature of the gel layer. The gel layer has been found to age into either clay mineral assemblages or zeolite mineral assemblages. The formation of one phase preferentially over the other has been experimentally related to changes in the pH of the leachant and related to the relative amounts of Al+3 and Fe+3 in a glass. The formation of clay mineral assemblages on the leached glass surface layers ,lower pH and Fe+3 rich glasses, causes the dissolution rate to slow to a long-term steady state rate. The formation of zeolite mineral assemblages ,higher pH and Al+3 rich glasses, on leached glass surface layers causes the dissolution rate to increase and return to the initial high forward rate. The return to the forward dissolution rate is undesirable for long-term performance of glass in a disposal environment. An investigation into the role of glass stoichiometry, in terms of the quasi-crystalline mineral species in a glass, has shown that the chemistry and structure in the parent glass appear to control the activated surface complexes that form in the leached layers, and these mineral complexes ,some Fe+3 rich and some Al+3 rich, play a role in whether or not clays or zeolites are the dominant species formed on the leached glass surface. The chemistry and structure, in terms of Q distributions of the parent glass, are well represented by the atomic ratios of the glass forming components. Thus, glass dissolution modeling using simple atomic

  16. Models of the stochastic activity of neurones

    Holden, Arun Vivian

    1976-01-01

    These notes have grown from a series of seminars given at Leeds between 1972 and 1975. They represent an attempt to gather together the different kinds of model which have been proposed to account for the stochastic activity of neurones, and to provide an introduction to this area of mathematical biology. A striking feature of the electrical activity of the nervous system is that it appears stochastic: this is apparent at all levels of recording, ranging from intracellular recordings to the electroencephalogram. The chapters start with fluctuations in membrane potential, proceed through single unit and synaptic activity and end with the behaviour of large aggregates of neurones: L have chgaen this seque~~e\\/~~';uggest that the interesting behaviourr~f :the nervous system - its individuality, variability and dynamic forms - may in part result from the stochastic behaviour of its components. I would like to thank Dr. Julio Rubio for reading and commenting on the drafts, Mrs. Doris Beighton for producing the fin...

  17. Theory and modeling of active brazing.

    van Swol, Frank B.; Miller, James Edward; Lechman, Jeremy B.; Givler, Richard C.

    2013-09-01

    Active brazes have been used for many years to produce bonds between metal and ceramic objects. By including a relatively small of a reactive additive to the braze one seeks to improve the wetting and spreading behavior of the braze. The additive modifies the substrate, either by a chemical surface reaction or possibly by alloying. By its nature, the joining process with active brazes is a complex nonequilibrium non-steady state process that couples chemical reaction, reactant and product diffusion to the rheology and wetting behavior of the braze. Most of the these subprocesses are taking place in the interfacial region, most are difficult to access by experiment. To improve the control over the brazing process, one requires a better understanding of the melting of the active braze, rate of the chemical reaction, reactant and product diffusion rates, nonequilibrium composition-dependent surface tension as well as the viscosity. This report identifies ways in which modeling and theory can assist in improving our understanding.

  18. NEWS AND PERSPECTIVES ON ACCOUNTING AND ECONOMETRIC MODELING CASH FLOW INDICATORS IN THE COMPANIES LISTED ON THE CAPITAL MARKET

    Cristina Mihaela Onica

    2015-05-01

    Full Text Available The evaluation and design of an performant accounting model has to be achieved using many financial and non-financial indicators in order to diminish their limits, and to realize an empirical research which will lead to the building of an set of indicators assessing the overall performance, adapted to Romanian business environment because, at the moment the need to use a set of indicators to provide a detailed picture of performance. Through the undertaken empirical research we had raised the development of some indicators in order to reflect as closely as possible the overall size of the analysed entity’s financial performance in the context of the assessment of cash flow.

  19. Computer modeling for neutron activation analysis methods

    Full text: The INP AS RU develops databases for the neutron-activation analysis - ND INAA [1] and ELEMENT [2]. Based on these databases, the automated complex is under construction aimed at modeling of methods for natural and technogenic materials analysis. It is well known, that there is a variety of analysis objects with wide spectra, different composition and concentration of elements, which makes it impossible to develop universal methods applicable for every analytical research. The modelling is based on algorithm, that counts the period of time in which the sample was irradiated in nuclear reactor, providing the sample's total absorption and activity analytical peaks areas with given errors. The analytical complex was tested for low-elemental analysis (determination of Fe and Zn in vegetation samples, and Cu, Ag and Au - in technological objects). At present, the complex is applied for multielemental analysis of sediment samples. In this work, modern achievements in the analytical chemistry (measurement facilities, high-resolution detectors, IAEA and IUPAC databases) and information technology applications (Java software, database management systems (DBMS), internet technologies) are applied. Reference: 1. Tillaev T., Umaraliev A., Gurvich L.G., Yuldasheva K., Kadirova J. Specialized database for instrumental neutron activation analysis - ND INAA 1.0, The 3-rd Eurasian Conference Nuclear Science and its applications, 2004, pp.270-271.; 2. Gurvich L.G., Tillaev T., Umaraliev A. The Information-analytical database on the element contents of natural objects. The 4-th International Conference Modern problems of Nuclear Physics, Samarkand, 2003, p.337. (authors)

  20. Predictive model of nicotine dependence based on mental health indicators and self-concept

    Hamid Kazemi Zahrani

    2014-12-01

    Full Text Available Background: The purpose of this research was to investigate the predictive power of anxiety, depression, stress and self-concept dimensions (Mental ability, job efficiency, physical attractiveness, social skills, and deficiencies and merits as predictors of nicotine dependency among university students in Isfahan. Methods: In this correlational study, 110 male nicotine-dependent students at Isfahan University were selected by convenience sampling. All samples were assessed by Depression Anxiety Stress Scale (DASS, self-concept test and Nicotine Dependence Syndrome Scale. Data were analyzed by Pearson correlation and stepwise regression. Results: The result showed that anxiety had the highest strength to predict nicotine dependence. In addition, the self-concept and its dimensions predicted only 12% of the variance in nicotine dependence, which was not significant. Conclusion: Emotional processing variables involved in mental health play an important role in presenting a model to predict students’ dependence on nicotine more than identity variables such as different dimensions of self-concept.

  1. Active State Model for Autonomous Systems

    Park, Han; Chien, Steve; Zak, Michail; James, Mark; Mackey, Ryan; Fisher, Forest

    2003-01-01

    The concept of the active state model (ASM) is an architecture for the development of advanced integrated fault-detection-and-isolation (FDI) systems for robotic land vehicles, pilotless aircraft, exploratory spacecraft, or other complex engineering systems that will be capable of autonomous operation. An FDI system based on the ASM concept would not only provide traditional diagnostic capabilities, but also integrate the FDI system under a unified framework and provide mechanism for sharing of information between FDI subsystems to fully assess the overall health of the system. The ASM concept begins with definitions borrowed from psychology, wherein a system is regarded as active when it possesses self-image, self-awareness, and an ability to make decisions itself, such that it is able to perform purposeful motions and other transitions with some degree of autonomy from the environment. For an engineering system, self-image would manifest itself as the ability to determine nominal values of sensor data by use of a mathematical model of itself, and selfawareness would manifest itself as the ability to relate sensor data to their nominal values. The ASM for such a system may start with the closed-loop control dynamics that describe the evolution of state variables. As soon as this model was supplemented with nominal values of sensor data, it would possess self-image. The ability to process the current sensor data and compare them with the nominal values would represent self-awareness. On the basis of self-image and self-awareness, the ASM provides the capability for self-identification, detection of abnormalities, and self-diagnosis.

  2. Modeling and experimental vibration analysis of nanomechanical cantilever active probes

    Nanomechanical cantilever (NMC) active probes have recently received increased attention in a variety of nanoscale sensing and measurement applications. Current modeling practices call for a uniform cantilever beam without considering the intentional jump discontinuities associated with the piezoelectric layer attachment and the NMC cross-sectional step. This paper presents a comprehensive modeling framework for modal characterization and dynamic response analysis of NMC active probes with geometrical discontinuities. The entire length of the NMC is divided into three segments of uniform beams followed by applying appropriate continuity conditions. The characteristics matrix equation is then used to solve for system natural frequencies and mode shapes. Using an equivalent electromechanical moment of a piezoelectric layer, forced motion analysis of the system is carried out. An experimental setup consisting of a commercial NMC active probe from Veeco and a state-of-the-art microsystem analyzer, the MSA-400 from Polytec, is developed to verify the theoretical developments proposed here. Using a parameter estimation technique based on minimizing the modeling error, optimal values of system parameters are identified. Mode shapes and the modal frequency response of the system for the first three modes determined from the proposed model are compared with those obtained from the experiment and commonly used theory for uniform beams. Results indicate that the uniform beam model fails to accurately predict the actual system response, especially in multiple-mode operation, while the proposed discontinuous beam model demonstrates good agreement with the experimental data. Such detailed and accurate modeling framework can lead to significant enhancement in the sensitivity of piezoelectric-based NMC sensors for use in variety of sensing and imaging applications

  3. Ecotoxicological impact of highway runoff using brown trout (Salmo trutta L.) as an indicator model.

    Meland, Sondre; Salbu, Brit; Rosseland, Bjørn Olav

    2010-03-01

    The ecotoxicological impact of highway runoff on brown trout (Salmo trutta L.) was studied in an in situ experiment consisting of four 24 h simulated runoff episodes. Fish were maintained in 5 tanks and exposed to highway runoff from a sedimentation pond close to E6 outside the city of Oslo, Norway. The tanks had the following contaminant loadings during the episodes: stream water (control), pond inlet, pond outlet, pond inlet + stream water and pond outlet + stream water. Opposite to road salt and compared to earlier findings, the first two episodes had rather low concentrations of trace metals, hydrocarbons and polycyclic aromatic hydrocarbons. A heavy rainfall before episode 3 increased the concentrations of all the contaminants except road salt which was diluted. In addition, lowered oxygen levels led to hypoxic conditions. Overall the fish exposed to highway runoff had, compared to the control fish, higher concentrations of trace metals in gills and liver, increased activity of the antioxidant defense system represented by superoxide dismutase, catalase and metallothionein, problems with the regulation of plasma Cl and Na, as well as increased levels of blood glucose and pCO(2). Finally, this seemed to affect the metabolism of the fish through reduced condition factor. The observed effects were likely caused by multiple stressors and not by a single contaminant. The sedimentation pond clearly reduced the toxicity of the highway runoff. But even in the least polluted exposure tank (pond outlet + stream water) signs of physiological disturbances were evident. PMID:20445854

  4. Wind-tunnel tests and modeling indicate that aerial dispersant delivery operations are highly accurate

    Hoffman, C.; Fritz, B. [United States Dept. of Agriculture, College Station, TX (United States); Nedwed, T. [ExxonMobil Upstream Research Co., Houston, TX (United States); Coolbaugh, T. [ExxonMobil Research and Engineering Co., Fairfax, VA (United States); Huber, C.A. [CAH Inc., Williamsburg, VA (United States)

    2009-07-01

    Oil dispersants are used to accelerate the dispersion of floating oil slicks. This study was conducted to select application equipment that will help to optimize the application oil dispersants from aircraft. Oil spill responders have a broad range of oil dispersants at their disposal because the physical and chemical interaction between the oil and dispersant is critical to successful mitigation. In order to make efficient use of dispersants, it is important to evaluate how each one atomizes once released from an aircraft. The specific goal of this study was to evaluate current spray nozzles used to spray oil dispersants from aircraft. The United States Department of Agriculture's high-speed wind tunnel facility in College Station, Texas was used to determine droplet size distributions generated by dispersant delivery nozzles at wind speeds similar to those used in aerial dispersant applications. Droplet distribution was quantified using a laser particle size analyzer. Wind-tunnel tests were conducted using water, Corexit 9500 and 9527 as well as a new dispersant gel being developed by ExxonMobil. The measured drop-size distributions were then used in an agriculture spray model to predict the delivery efficiency and swath width of dispersant delivered at flight speeds and altitudes commonly used for dispersant application. It was concluded that current practices for aerial application of dispersants lead to very efficient application. 19 refs., 5 tabs., 10 figs.

  5. Wind-tunnel tests and modeling indicate that aerial dispersant delivery operations are highly accurate

    Oil dispersants are used to accelerate the dispersion of floating oil slicks. This study was conducted to select application equipment that will help to optimize the application oil dispersants from aircraft. Oil spill responders have a broad range of oil dispersants at their disposal because the physical and chemical interaction between the oil and dispersant is critical to successful mitigation. In order to make efficient use of dispersants, it is important to evaluate how each one atomizes once released from an aircraft. The specific goal of this study was to evaluate current spray nozzles used to spray oil dispersants from aircraft. The United States Department of Agriculture's high-speed wind tunnel facility in College Station, Texas was used to determine droplet size distributions generated by dispersant delivery nozzles at wind speeds similar to those used in aerial dispersant applications. Droplet distribution was quantified using a laser particle size analyzer. Wind-tunnel tests were conducted using water, Corexit 9500 and 9527 as well as a new dispersant gel being developed by ExxonMobil. The measured drop-size distributions were then used in an agriculture spray model to predict the delivery efficiency and swath width of dispersant delivered at flight speeds and altitudes commonly used for dispersant application. It was concluded that current practices for aerial application of dispersants lead to very efficient application. 19 refs., 5 tabs., 10 figs

  6. Regional climate model simulations indicate limited climatic impacts by operational and planned European wind farms.

    Vautard, Robert; Thais, Françoise; Tobin, Isabelle; Bréon, François-Marie; Devezeaux de Lavergne, Jean-Guy; Colette, Augustin; Yiou, Pascal; Ruti, Paolo Michele

    2014-01-01

    The rapid development of wind energy has raised concerns about environmental impacts. Temperature changes are found in the vicinity of wind farms and previous simulations have suggested that large-scale wind farms could alter regional climate. However, assessments of the effects of realistic wind power development scenarios at the scale of a continent are missing. Here we simulate the impacts of current and near-future wind energy production according to European Union energy and climate policies. We use a regional climate model describing the interactions between turbines and the atmosphere, and find limited impacts. A statistically significant signal is only found in winter, with changes within ±0.3 °C and within 0-5% for precipitation. It results from the combination of local wind farm effects and changes due to a weak, but robust, anticyclonic-induced circulation over Europe. However, the impacts remain much weaker than the natural climate interannual variability and changes expected from greenhouse gas emissions. PMID:24518587

  7. Multi-trait BLUP model indicates sorghum hybrids with genetic potential for agronomic and nutritional traits.

    Almeida Filho, J E; Tardin, F D; Guimarães, J F R; Resende, M D V; Silva, F F; Simeone, M L; Menezes, C B; Queiroz, V A V

    2016-01-01

    The breeding of sorghum, Sorghum bicolor (L.) Moench, aimed at improving its nutritional quality, is of great interest, since it can be used as a highly nutritive alternative food source and can possibly be cultivated in regions with low rainfall. The objective of the present study was to evaluate the potential and genetic diversity of grain-sorghum hybrids for traits of agronomic and nutritional interest. To this end, the traits grain yield and flowering, and concentrations of protein, potassium, calcium, magnesium, sulfur, iron, manganese, and zinc in the grain were evaluated in 25 grain-sorghum hybrids, comprising 18 experimental hybrids of Embrapa Milho e Sorgo and seven commercial hybrids. The genetic potential was analyzed by a multi-trait best linear unbiased prediction (BLUP) model, and cluster analysis was accomplished by squared Mahalanobis distance using the predicted genotypic values. Hybrids 0306037 and 0306034 stood out in the agronomic evaluation. The hybrids with agronomic prominence, however, did not stand out for the traits related to the nutritional quality of the grain. Three clusters were formed from the dendrogram obtained with the unweighted pair group method with arithmetic mean method. From the results of the genotypic BLUP and the analysis of the dendrogram, hybrids 0577337, 0441347, 0307651, and 0306037 were identified as having the potential to establish a population that can aggregate alleles for all the evaluated traits of interest. PMID:26985915

  8. Data-driven modeling of sleep EEG and EOG reveals characteristics indicative of pre-Parkinson's and Parkinson's disease

    Christensen, Julie Anja Engelhard; Zoetmulder, Marielle; Koch, Henriette;

    2014-01-01

    Background: Manual scoring of sleep relies on identifying certain characteristics in polysomnograph (PSG) signals. However, these characteristics are disrupted in patients with neurodegenerative diseases. New method: This study evaluates sleep using a topic modeling and unsupervised learning...... approach to identify sleep topics directly from electroencephalography (EEG) and electrooculography (EOG). PSG data from control subjects were used to develop an EOG and an EEG topic model. The models were applied to PSG data from 23 control subjects, 25 patients with periodic leg movements (PLMs), 31......RBD/PD and PLM/controls was estimated using a Lasso-regularized regression model. Results: The features with highest discriminability were the number and stability of EEG topics linked to REM and N3, respectively. Validation of the model indicated a sensitivity of 91.4% and a specificity of 68.8% when...

  9. Comparison of activity coefficient models for electrolyte systems

    Lin, Yi; ten Kate, Antoon; Mooijer, Miranda;

    2010-01-01

    Three activity coefficient models for electrolyte solutions were evaluated and compared. The activity coefficient models are: The electrolyte NRTL model (ElecNRTL) by Aspentech, the mixed solvent electrolyte model (MSE) by OLI Systems Inc., and the Extended UNIQUAC model from the Technical Univer...

  10. Integration of climatic indices in an objective probabilistic model for establishing and mapping viticultural climatic zones in a region

    Moral, Francisco J.; Rebollo, Francisco J.; Paniagua, Luis L.; García, Abelardo; Honorio, Fulgencio

    2016-05-01

    Different climatic indices have been proposed to determine the wine suitability in a region. Some of them are related to the air temperature, but the hydric component of climate should also be considered which, in turn, is influenced by the precipitation during the different stages of the grapevine growing and ripening periods. In this study, we propose using the information obtained from ten climatic indices [heliothermal index (HI), cool night index (CI), dryness index (DI), growing season temperature (GST), the Winkler index (WI), September mean thermal amplitude (MTA), annual precipitation (AP), precipitation during flowering (PDF), precipitation before flowering (PBF), and summer precipitation (SP)] as inputs in an objective and probabilistic model, the Rasch model, with the aim of integrating the individual effects of them, obtaining the climate data that summarize all main climatic indices, which could influence on wine suitability from a climate viewpoint, and utilizing the Rasch measures to generate homogeneous climatic zones. The use of the Rasch model to estimate viticultural climatic suitability constitutes a new application of great practical importance, enabling to rationally determine locations in a region where high viticultural potential exists and establishing a ranking of the climatic indices which exerts an important influence on wine suitability in a region. Furthermore, from the measures of viticultural climatic suitability at some locations, estimates can be computed using a geostatistical algorithm, and these estimates can be utilized to map viticultural climatic zones in a region. To illustrate the process, an application to Extremadura, southwestern Spain, is shown.

  11. Modeling bispecific monoclonal antibody interaction with two cell membrane targets indicates the importance of surface diffusion.

    Sengers, Bram G; McGinty, Sean; Nouri, Fatma Z; Argungu, Maryam; Hawkins, Emma; Hadji, Aymen; Weber, Andrew; Taylor, Adam; Sepp, Armin

    2016-07-01

    We have developed a mathematical framework for describing a bispecific monoclonal antibody interaction with two independent membrane-bound targets that are expressed on the same cell surface. The bispecific antibody in solution binds either of the two targets first, and then cross-links with the second one while on the cell surface, subject to rate-limiting lateral diffusion step within the lifetime of the monovalently engaged antibody-antigen complex. At experimental densities, only a small fraction of the free targets is expected to lie within the reach of the antibody binding sites at any time. Using ordinary differential equation and Monte Carlo simulation-based models, we validated this approach against an independently published anti-CD4/CD70 DuetMab experimental data set. As a result of dimensional reduction, the cell surface reaction is expected to be so rapid that, in agreement with the experimental data, no monovalently bound bispecific antibody binary complexes accumulate until cross-linking is complete. The dissociation of the bispecific antibody from the ternary cross-linked complex is expected to be significantly slower than that from either of the monovalently bound variants. We estimate that the effective affinity of the bivalently bound bispecific antibody is enhanced for about 4 orders of magnitude over that of the monovalently bound species. This avidity enhancement allows for the highly specific binding of anti-CD4/CD70 DuetMab to the cells that are positive for both target antigens over those that express only one or the other We suggest that the lateral diffusion of target antigens in the cell membrane also plays a key role in the avidity effect of natural antibodies and other bivalent ligands in their interactions with their respective cell surface receptors. PMID:27097222

  12. Modeling Indications of Technology in Planetary Transit Light Curves-Dark-side Illumination

    Korpela, Eric J.; Sallmen, Shauna M.; Leystra Greene, Diana

    2015-08-01

    We analyze potential effects of an extraterrestrial civilization’s use of orbiting mirrors to illuminate the dark side of a synchronously rotating planet on planetary transit light curves. Previous efforts to detect civilizations based on side effects of planetary-scale engineering have focused on structures affecting the host star output (e.g., Dyson spheres). However, younger civilizations are likely to be less advanced in their engineering efforts, yet still capable of sending small spacecraft into orbit. Since M dwarfs are the most common type of star in the solar neighborhood, it seems plausible that many of the nearest habitable planets orbit dim, low-mass M stars, and will be in synchronous rotation. Logically, a civilization evolving on such a planet may be inspired to illuminate their planet’s dark side by placing a single large mirror at the L2 Lagrangian point, or launching a fleet of small thin mirrors into planetary orbit. We briefly examine the requirements and engineering challenges of such a collection of orbiting mirrors, then explore their impact on transit light curves. We incorporate stellar limb darkening and model a simplistic mirror fleet’s effects for transits of Earth-like (R = 0.5 to 2 {R}{Earth}) planets which would be synchronously rotating for orbits within the habitable zone of their host star. Although such an installation is undetectable in Kepler data, the James Webb Space Telescope will provide the sensitivity necessary to detect a fleet of mirrors orbiting Earth-like habitable planets around nearby stars.

  13. Modeling active memory: Experiment, theory and simulation

    Amit, Daniel J.

    2001-06-01

    Neuro-physiological experiments on cognitively performing primates are described to argue that strong evidence exists for localized, non-ergodic (stimulus specific) attractor dynamics in the cortex. The specific phenomena are delay activity distributions-enhanced spike-rate distributions resulting from training, which we associate with working memory. The anatomy of the relevant cortex region and the physiological characteristics of the participating elements (neural cells) are reviewed to provide a substrate for modeling the observed phenomena. Modeling is based on the properties of the integrate-and-fire neural element in presence of an input current of Gaussian distribution. Theory of stochastic processes provides an expression for the spike emission rate as a function of the mean and the variance of the current distribution. Mean-field theory is then based on the assumption that spike emission processes in different neurons in the network are independent, and hence the input current to a neuron is Gaussian. Consequently, the dynamics of the interacting network is reduced to the computation of the mean and the variance of the current received by a cell of a given population in terms of the constitutive parameters of the network and the emission rates of the neurons in the different populations. Within this logic we analyze the stationary states of an unstructured network, corresponding to spontaneous activity, and show that it can be stable only if locally the net input current of a neuron is inhibitory. This is then tested against simulations and it is found that agreement is excellent down to great detail. A confirmation of the independence hypothesis. On top of stable spontaneous activity, keeping all parameters fixed, training is described by (Hebbian) modification of synapses between neurons responsive to a stimulus and other neurons in the module-synapses are potentiated between two excited neurons and depressed between an excited and a quiescent neuron

  14. A Home-Based Educational Intervention Improves Patient Activation Measures and Diabetes Health Indicators among Zuni Indians.

    Vallabh O Shah

    Full Text Available One in three people will be diagnosed with diabetes by 2050, and the proportion will likely be higher among Native Americans. Diabetes control is currently suboptimal in underserved populations despite a plethora of new therapies. Patient empowerment is a key determinant of diabetes control, but such empowerment can be difficult to achieve due to resource limitation and cultural, language and health literacy barriers. We describe a home-based educational intervention using Community Health Representatives (CHRs, leading to improvement in Patient Activation Measures scores and clinical indicators of diabetes control.Sixty participants with type 2 diabetes (T2D completed a baseline evaluation including physical exam, Point of Care (POC testing, and the Patient Activation Measure (PAM survey. Participants then underwent a one hour group didactic session led by Community Health Representatives (CHRs who subsequently carried out monthly home-based educational interventions to encourage healthy lifestyles, including diet, exercise, and alcohol and cigarette avoidance until follow up at 6 months, when clinical phenotyping and the PAM survey were repeated.PAM scores were increased by at least one level in 35 (58% participants, while 24 participants who started at higher baseline score did not change. Six months after intervention, mean levels of A1C decreased by 0.7 ± 1.2%; fasting blood glucose decreased by 24.0 ± 38.0 mg/dl; BMI decreased by 1.5 ± 2.1 kg/m2; total cholesterol decreased by 12.0 ± 28.0 mg/dl; and triglycerides decreased by 52.0 ± 71.0 mg/dl. All of these changes were statistically significant (p < 0.05.This six month, CHR led and community-oriented educational intervention helps inform standards of practice for the management of diabetes, engages diabetic populations in their own care, and reduces health disparities for the underserved population of Zuni Indians.ClinicalTrials.gov NCT02339311.

  15. Large order asymptotics and convergent perturbation theory for critical indices of the $\\phi ^4$ model in ${4-\\epsilon}$ expansion

    Honkonen, J; Nalimov, M Yu

    2002-01-01

    Large order asymptotic behaviour of renormalization constants in the minimal subtraction scheme for the $\\phi ^4$ $(4-\\epsilon)$ theory is discussed. Well-known results of the asymptotic $4-\\epsilon $ expansion of critical indices are shown to be far from the large order asymptotic value. A {\\em convergent} series for the model $\\phi ^4$ $(4-\\epsilon)$ is then considered. Radius of convergence of the series for Green functions and for renormalisation group functions is studied. The results of the convergent expansion of critical indices in the $4-\\epsilon $ scheme are revalued using the knowledge of large order asymptotics. Specific features of this procedure are discussed.

  16. Large order asymptotics and convergent perturbation theory for critical indices of the φ4 model in 4 - ε expansion

    Large order asymptotic behaviour of renormalization constants in the minimal subtraction scheme for the φ4 (4 - ε) theory is discussed. Well-known results of the asymptotic 4 - ε expansion of critical indices are shown to be far from the large order asymptotic value. A convergent series for the model φ4 (4 - ε) is then considered. Radius of convergence of the series for Green functions and for renormalisation group functions is studied. The results of the convergent expansion of critical indices in the 4 - ε scheme are revalued using the knowledge of large order asymptotics. Specific features of this procedure are discussed (Authors)

  17. The New Digital Media Value Network: Proposing an Interactive Model of Digital Media Value Activities

    Sylvia Chan-Olmsted

    2016-07-01

    Full Text Available This study models the dynamic nature of today’s media markets using the framework of value-adding activities in the provision and consumption of media products. The proposed user-centric approach introduces the notion that the actions of external users, social media, and interfaces affect the internal value activities of media firms via a feedback loop, and therefore should themselves be considered value activities. The model also suggests a more comprehensive list of indicators for value assessment.

  18. A model of dispenser cathode activity

    Lamartine, B. C.; Eyink, K. G.; Czarnecki, J. V.; Lampert, W. V.; Haas, T. W.

    1985-12-01

    A semiquantitative model of dispenser cathode activity based on recent work on the co-adsorption of Ba and O onto W surfaces is presented. The co-adsorption studies have determined the shape of a three-dimensional surface of work function as a function of θO and θBa, the surface coverages of O and Ba, respectively. Compositions of a variety of pedigreed dispenser cathodes were fitted to this surface and their composition changes during lifetime were modeled. Changes of surface composition with temperature and of workfunction, φ, with temperature were also found to fit these curves. The concept of a patchy surface implied by the co-adsorption measurements was used to explain earlier results on the shape of the X-ray excited Ba MNN Auger feature. Finally, SIMS measurements under UHV conditions was found to provide an extremely sensitive measurement of surface composition in the region of surface coverages of interest in the study of cathode phenomena. Extensions of this work to other types of cathodes such as M-types, and rhenium substrate cathodes is also discussed.

  19. On progress of nuclear activation model calculations

    Progress of work on improved methods of nuclear model calculations for nuclear activation data carried out at IFIN-HH in 2003-2004 is reported. In order to provide accurate predictions of further interest for the European Activation File (EAF-2005), no use of normalization or free parameters are involved. Model calculations carried out by using the computer codes EMPIRE-II and STAPRE-H have been validated by analysis of activation cross sections of all W and Ta stable isotopes and compared with the corresponding predictions obtained with the code TALYS. The accurate description of these reaction cross sections is obtained by using a consistent local parameter set, being fully due to the start of proton pre-equilibrium contribution due to the partial wave l = 7ℎ at incident energies of ∼ 14 MeV. This feature makes possible a faster increase of the STAPRE-H results for the (n,p) reaction cross sections just around this energy, while at 20 MeV they are in between the EMPIRE-II and TALYS predictions. It is thus pointed out the need for additional experimental data in the energy range above 15 MeV, similar to previous measurements at, e.g., JRC/IRMM. It is also shown that enlargement actions already in due course may have lower effectiveness concerning the preservation and development of knowledge and capabilities at Romanian R and D institutes as well as their integration into existing EC/JRC programmes and EU networks. While from the beginning EC asked CEEC to improve their R and D infrastructure to better benefit from the enlargement process, no real step forward has been done in this respect in Romania. The present conditions at IFIN-HH well below the limits making possible a real work have made thus not possible a further co-operation with JRC/IRMM, where we found previously the best opportunities for a sound common work, simply because no study completion may be done now in Bucharest. (author)

  20. The effects of training based on BASNEF model and acupressure at GB21 point on the infants’ physical growth indicators

    marzieh akbarzadeh

    2014-08-01

    Full Text Available objective: Educational models are used to study the behavior and plan for changing and determining the factors that affect the individuals’ decision making for conducting a behavior. This study aimed to compare the effects of the educational program based on BASNEF model and acupressure at GB21 point on the infants’ physical growth indicators. Methods: This clinical trial was conducted on 150 (50 per group pregnant women in 2011-2012. The interventions included educational program based on the BASNEF model and application of acupressure at GB21 point. The infants’ physical indicators were compared to the control group one and three months after birth. The study data were analyzed using repeated measurement test, paired sample T-Test, one-way ANOVA, and Tukey’s test. finding: The results showed a significant difference between the intervention and the control group regarding the infants’ weight and height one and three months after birth (p0.05. Also, no significant difference was observed among the three groups concerning the infants’ head and arm circumference (P>0.05. Conclusion: BASNEF model improved the infants’ height and weight. Application of acupressure also improved the infants’ height, weight, and head and arm circumference compared to the control group. Hence, learning and application of techniques and models by the medical team are highly essential.

  1. The effects of training based on BASNEF model and acupressure at GB21 point on the infants’ physical growth indicators

    marzieh akbarzadeh

    2014-12-01

    Full Text Available objective: Educational models are used to study the behavior and plan for changing and determining the factors that affect the individuals’ decision making for conducting a behavior. This study aimed to compare the effects of the educational program based on BASNEF model and acupressure at GB21 point on the infants’ physical growth indicators.Methods: This clinical trial was conducted on 150 (50 per group pregnant women in 2011-2012. The interventions included educational program based on the BASNEF model and application of acupressure at GB21 point. The infants’ physical indicators were compared to the control group one and three months after birth. The study data were analyzed using repeated measurement test, paired sample T-Test, one-way ANOVA, and Tukey’s test.finding: The results showed a significant difference between the intervention and the control group regarding the infants’ weight and height one and three months after birth (p0.05. Also, no significant difference was observed among the three groups concerning the infants’ head and arm circumference (P>0.05.Conclusion: BASNEF model improved the infants’ height and weight. Application of acupressure also improved the infants’ height, weight, and head and arm circumference compared to the control group. Hence, learning and application of techniques and models by the medical team are highly essential.

  2. Multi-scale expression of spatial activity anomalies of earthquakes and its indicative significance on the space and time attributes of strong earthquakes

    裴韬; 杨明; 张讲社; 周成虎; 骆剑承; 李全林

    2003-01-01

    The noise model based on á trous wavelet algorithm produces a multi-scale expression of image through the combination of wavelet transform and a testing model of statistical significance. This kind of expression not only gives the formation and location of image structure on different scales, but also eliminates the influence of noise. Since the algorithm does not need any priori hypotheses, it is suitable for the data with complex structure. The research line is employed inthis paper to analyze the spatial activity of earthquake. The method of how to recognize and describe the multi-scale space activity of earthquake is emphatically discussed in this paper. Taking typical sequences in Southwest China as research cases, we systematically study the structure characters of spatial activityof earthquake on different scales. Results show that multi-scale space structure to some extent possesses indicative effect on strong epicenters. And the foreshock anomalies of Songpan seismic sequence also reveal interesting pattern during the spatial-temporal evolvement.

  3. Assessing global vegetation activity using spatio-temporal Bayesian modelling

    Mulder, Vera L.; van Eck, Christel M.; Friedlingstein, Pierre; Regnier, Pierre A. G.

    2016-04-01

    This work demonstrates the potential of modelling vegetation activity using a hierarchical Bayesian spatio-temporal model. This approach allows modelling changes in vegetation and climate simultaneous in space and time. Changes of vegetation activity such as phenology are modelled as a dynamic process depending on climate variability in both space and time. Additionally, differences in observed vegetation status can be contributed to other abiotic ecosystem properties, e.g. soil and terrain properties. Although these properties do not change in time, they do change in space and may provide valuable information in addition to the climate dynamics. The spatio-temporal Bayesian models were calibrated at a regional scale because the local trends in space and time can be better captured by the model. The regional subsets were defined according to the SREX segmentation, as defined by the IPCC. Each region is considered being relatively homogeneous in terms of large-scale climate and biomes, still capturing small-scale (grid-cell level) variability. Modelling within these regions is hence expected to be less uncertain due to the absence of these large-scale patterns, compared to a global approach. This overall modelling approach allows the comparison of model behavior for the different regions and may provide insights on the main dynamic processes driving the interaction between vegetation and climate within different regions. The data employed in this study encompasses the global datasets for soil properties (SoilGrids), terrain properties (Global Relief Model based on SRTM DEM and ETOPO), monthly time series of satellite-derived vegetation indices (GIMMS NDVI3g) and climate variables (Princeton Meteorological Forcing Dataset). The findings proved the potential of a spatio-temporal Bayesian modelling approach for assessing vegetation dynamics, at a regional scale. The observed interrelationships of the employed data and the different spatial and temporal trends support

  4. Variability of indicator values for ozone production sensitivity: a model study in Switzerland and San Joaquin Valley (California)

    The threshold values of indicator species and ratios delineating the transition between NOx and VOC sensitivity of ozone formation are assumed to be universal by various investigators. However, our previous studies suggested that threshold values might vary according to the locations and conditions. In this study, threshold values derived from various model simulations at two different locations (the area of Switzerland by UAM Model and San Joaquin Valley of Central California by SAQM Model) are examined using a new approach for defining NOx and VOC sensitive regimes. Possible definitions for the distinction of NOx and VOC sensitive ozone production regimes are given. The dependence of the threshold values for indicators and indicator ratios such as NOy, O3/NOz, HCHO/NOy, and H2O2/HNO3 on the definition of NOx and VOC sensitivity is discussed. Then the variations of threshold values under low emission conditions and in two different days are examined in both areas to check whether the models respond consistently to changes in environmental conditions. In both cases, threshold values are shifted similarly when emissions are reduced. Changes in the wind fields and aging of the photochemical oxidants seem to cause the day-to-day variation of the threshold values. O3/NOz and HCHO/NOy indicators are predicted to be unsatisfactory to separate the NOx and VOC sensitive regimes. Although NOy and H2O2/HNO3 provide a good separation of the two regimes, threshold values are affected by changes in the environmental conditions studied in this work. (author)

  5. A sorted leading indicators dynamic (SLID) factor model for short-run euro-area GDP forecasting

    Daniel Grenouilleau

    2004-01-01

    This paper introduces a statistical model for short-term GDP forecasting based on approximate dynamic factors, Stock and Watson methodology, extracted from a very large number of leading indicators at several lags. Given that factor extraction is performed on many series from all countries of the euro area, the common component to all predictors reflects the overall business cycle of the euro area and can accordingly provide a good proxy for euro area GDP.

  6. Application of empirical predictive modeling using conventional and alternative fecal indicator bacteria in eastern North Carolina waters

    Gonzalez, Raul; Conn, Kathleen E.; Crosswell, Joey; Noble, Rachel

    2012-01-01

    Coastal and estuarine waters are the site of intense anthropogenic influence with concomitant use for recreation and seafood harvesting. Therefore, coastal and estuarine water quality has a direct impact on human health. In eastern North Carolina (NC) there are over 240 recreational and 1025 shellfish harvesting water quality monitoring sites that are regularly assessed. Because of the large number of sites, sampling frequency is often only on a weekly basis. This frequency, along with an 18–24 h incubation time for fecal indicator bacteria (FIB) enumeration via culture-based methods, reduces the efficiency of the public notification process. In states like NC where beach monitoring resources are limited but historical data are plentiful, predictive models may offer an improvement for monitoring and notification by providing real-time FIB estimates. In this study, water samples were collected during 12 dry (n = 88) and 13 wet (n = 66) weather events at up to 10 sites. Statistical predictive models for Escherichiacoli (EC), enterococci (ENT), and members of the Bacteroidales group were created and subsequently validated. Our results showed that models for EC and ENT (adjusted R2 were 0.61 and 0.64, respectively) incorporated a range of antecedent rainfall, climate, and environmental variables. The most important variables for EC and ENT models were 5-day antecedent rainfall, dissolved oxygen, and salinity. These models successfully predicted FIB levels over a wide range of conditions with a 3% (EC model) and 9% (ENT model) overall error rate for recreational threshold values and a 0% (EC model) overall error rate for shellfish threshold values. Though modeling of members of the Bacteroidales group had less predictive ability (adjusted R2 were 0.56 and 0.53 for fecal Bacteroides spp. and human Bacteroides spp., respectively), the modeling approach and testing provided information on Bacteroidales ecology. This is the first example of a set of successful statistical

  7. Characterizing and Modeling the Dynamics of Activity and Popularity

    Zhang, Peng; Gao, Liang; Fan, Ying; Di, Zengru

    2013-01-01

    Social media, regarded as two-layer networks consisting of users and items, turn out to be the most important channels for access to massive information in the era of Web 2.0. The dynamics of human activity and item popularity is a crucial issue in social media networks. In this paper, by analyzing the growth of user activity and item popularity in four empirical social media networks, i.e., Amazon, Flickr, Delicious and Wikipedia, it is found that cross links between users and items are more likely to be created by active users and to be acquired by popular items, where user activity and item popularity are measured by the number of cross links associated with users and items. This indicates that users generally trace popular items, overall. However, it is found that the inactive users much more severely trace popular items than the active users. Inspired by empirical analysis, we propose an evolving model for such networks, in which the evolution is driven only by two-step random walk. Numerical experiments...

  8. Research on the active cloud computing algorithm model

    Wang, Denghui; Huang, Hao; Xie, Changsheng

    The efficiency of Service composition optimal solution algorithm depends on the structure of the user requirement model. MLQEM (Multi-level Hybrid QoS Extended Model) provides a multi-level hybrid QoS structure. This structure allows users to actively give the specific constraint conditions about the professional field of web service. The number of user constraint conditions increase that increase the calculation of the current global optimization algorithm. In this paper we propose a new kind of algorithm MLHSA based on MLQEM. We integrate local optimal strategy and global optimal strategy in different levels of QoS. At last our experimental result indicate that MLHSA algorithm are improved obviously in efficiency and accuracy.

  9. Solar activity forecast with a dynamo model

    Jiang, Jie; Choudhuri, Arnab Rai

    2007-01-01

    Although systematic measurements of the solar polar magnetic field exist only from mid 1970s, other proxies can be used to infer the polar field at earlier times. The observational data indicate a strong correlation between the polar field at a sunspot minimum and the strength of the next cycle, although the strength of the cycle is not correlated well with the polar field produced at its end. This suggests that the Babcock Leighton mechanism of poloidal field generation from decaying sunspots involves randomness, whereas the other aspects of the dynamo process must be reasonably ordered and deterministic. Only if the magnetic diffusivity within the convection zone is assumed to be high, we can explain the correlation between the polar field at a minimum and the next cycle. We give several independent arguments that the diffusivity must be of this order. In a dynamo model with diffusivity like this, the poloidal field generated at the mid latitudes is advected toward the poles by the meridional circulation an...

  10. Large-scale determinants of diversity across Spanish forest habitats: accounting for model uncertainty in compositional and structural indicators

    Martin-Quller, E.; Torras, O.; Alberdi, I.; Solana, J.; Saura, S.

    2011-07-01

    An integral understanding of forest biodiversity requires the exploration of the many aspects it comprises and of the numerous potential determinants of their distribution. The landscape ecological approach provides a necessary complement to conventional local studies that focus on individual plots or forest ownerships. However, most previous landscape studies used equally-sized cells as units of analysis to identify the factors affecting forest biodiversity distribution. Stratification of the analysis by habitats with a relatively homogeneous forest composition might be more adequate to capture the underlying patterns associated to the formation and development of a particular ensemble of interacting forest species. Here we used a landscape perspective in order to improve our understanding on the influence of large-scale explanatory factors on forest biodiversity indicators in Spanish habitats, covering a wide latitudinal and attitudinal range. We considered six forest biodiversity indicators estimated from more than 30,000 field plots in the Spanish national forest inventory, distributed in 213 forest habitats over 16 Spanish provinces. We explored biodiversity response to various environmental (climate and topography) and landscape configuration (fragmentation and shape complexity) variables through multiple linear regression models (built and assessed through the Akaike Information Criterion). In particular, we took into account the inherent model uncertainty when dealing with a complex and large set of variables, and considered different plausible models and their probability of being the best candidate for the observed data. Our results showed that compositional indicators (species richness and diversity) were mostly explained by environmental factors. Models for structural indicators (standing deadwood and stand complexity) had the worst fits and selection uncertainties, but did show significant associations with some configuration metrics. In general

  11. Uptake of amino acids in brain tumours using positron emission tomography as an indicator for assessing metabolic activity and malignancy

    Diagnosis and post-therapeutic follow-up of tumour patients necessitates morphological and particularly functional imaging methods. For the latter approach positron emission tomography has proven a valid tool for the measurement of perfusion, of energy consumption parameters such as oxygen extraction, glucose metabolism and amino acid uptake. However, neither perfusion nor energy consumption parameters have yielded unambiguous information on the clinical status of various tumours in respect of their malignancy and their growth status. It is shown in this paper that amino acid uptake seems to be a valid measure for the functional activity of tumour tissue for a broad range of neoplasms. The uptake of 11C-L-Methionine was measured in 33 patients having various brain tumours, and was compared with 6 patients who had an infarction, and with 8 patients suffering from arachnoidal cysts. The amino acid uptake correlated well with the histological grading of the tumours and the clinical status of the patient. The uptake was well differentiated against metabolically inactive lesions. Parallel investigations on the uptake mechanisms of amino acids in an animal model have shown that transport phenomena regulate the uptake rather than protein synthesis rates. However, protein synthesis may nevertheless exercise a control function on the transport process. (orig.)

  12. Comparing the cardiovascular therapeutic indices of glycopyrronium and tiotropium in an integrated rat pharmacokinetic, pharmacodynamic and safety model

    Long acting inhaled muscarinic receptor antagonists, such as tiotropium, are widely used as bronchodilator therapy for chronic obstructive pulmonary disease (COPD). Although this class of compounds is generally considered to be safe and well tolerated in COPD patients the cardiovascular safety of tiotropium has recently been questioned. We describe a rat in vivo model that allows the concurrent assessment of muscarinic antagonist potency, bronchodilator efficacy and a potential for side effects, and we use this model to compare tiotropium with NVA237 (glycopyrronium bromide), a recently approved inhaled muscarinic antagonist for COPD. Anaesthetized Brown Norway rats were dosed intratracheally at 1 or 6 h prior to receiving increasing doses of intravenous methacholine. Changes in airway resistance and cardiovascular function were recorded and therapeutic indices were calculated against the ED50 values for the inhibition of methacholine-induced bronchoconstriction. At both time points studied, greater therapeutic indices for hypotension and bradycardia were observed with glycopyrronium (19.5 and 28.5 fold at 1 h; > 200 fold at 6 h) than with tiotropium (1.5 and 4.2 fold at 1 h; 4.6 and 5.5 fold at 6 h). Pharmacokinetic, protein plasma binding and rat muscarinic receptor binding properties for both compounds were determined and used to generate an integrated model of systemic M2 muscarinic receptor occupancy, which predicted significantly higher M2 receptor blockade at ED50 doses with tiotropium than with glycopyrronium. In our preclinical model there was an improved safety profile for glycopyrronium when compared with tiotropium. - Highlights: • We use an in vivo rat model to study CV safety of inhaled muscarinic antagonists. • We integrate protein and receptor binding and PK of tiotropium and glycopyrrolate. • At ED50 doses for bronchoprotection we model systemic M2 receptor occupancy. • Glycopyrrolate demonstrates lower M2 occupancy at bronchoprotective

  13. Toward a model of neuropsychological activity.

    Ardila, A; Galeano, L M; Rosselli, M

    1998-12-01

    The main purpose of this research was to establish the intercorrelations existing among different psychological and neuropsychological test scores in a normal and homogeneous population. A second purpose was to attempt further step in the component analysis of cognitive activity measured by means of neuropsychological tests. A comprehensive neuropsychological test battery was assembled and individually administered to a 300-subject sample, aged 17-25 year-old. All of them were right-handed male university students. The battery included some basic neuropsychological tests directed to assess language, calculation abilities, spatial cognition, praxic abilities, memory, perceptual abilities, and executive functions. In addition, the Wechsler Adult Intelligence Scale was administered. Forty-one different scores were calculated. Correlations among the different test scores were analyzed. It was found that some of the tests presented a quite complex intecorrelation system, whereas other tests presented few or no significant correlations. Mathematical ability tests and orthography knowledge represented the best predictors of Full Scale IQ. A factor analysis with varimax rotation disclosed five factors (verbal, visuoperceptual, executive function, fine movements, and memory) accounting for 63.6% of the total variance. Implications of these results for a neuropsychological model about brain organization of cognition were analyzed. PMID:9951709

  14. Discrete wetland groundwater discharges revealed with a three-dimensional temperature model and botanical indicators (Boxford, UK)

    House, Andrew R.; Sorensen, James P. R.; Gooddy, Daren C.; Newell, Andrew J.; Marchant, Ben; Mountford, J. Owen; Scarlett, Peter; Williams, Peter J.; Old, Gareth H.

    2015-03-01

    Wetlands provide unique goods and services, as habitats of high biodiversity. Hydrology is the principal control on wetland functioning; hence, understanding the water source is fundamental. However, groundwater inflows may be discrete and easily missed. Research techniques are required with low cost and minimal impact in sensitive settings. In this study, the effectiveness of using a three-dimensional (3D) temperature model and botanical indicators to characterise groundwater discharge is explored at the CEH (Centre for Ecology and Hydrology) River Lambourn Observatory, Boxford, UK. This comprises a 10 ha lowland riparian wetland, designated for its scientific interest and conservation value. Temperature data were collected in winter at multiple depths down to 0.9 m over approximately 3.6 ha and transformed into a 3D model via ordinary kriging. Anomalous warm zones indicated distinct areas of groundwater upwelling which were concurrent with relic channel structures. Lateral heat propagation from the channels was minimal and restricted to within 5-10 m. Vertical temperature sections within the channels suggest varying degrees of groundwater discharge along their length. Hydrochemical analysis showed that warmer peat waters were akin to deeper aquifer waters, confirming the temperature anomalies as areas of groundwater discharge. Subsequently, a targeted vegetation survey identified Carex paniculata as an indicator of groundwater discharge. The upwelling groundwater contains high concentrations of nitrate which is considered to support the spatially restricted growth of Carex paniculata against a background of poor fen communities located in reducing higher-phosphate waters.

  15. A Gaussian process framework for modelling stellar activity signals in radial velocity data

    Rajpaul, Vinesh; Osborne, Michael A; Reece, Steven; Roberts, Stephen J

    2015-01-01

    To date, the radial velocity (RV) method has been one of the most productive techniques for detecting and confirming extrasolar planetary candidates. Unfortunately, stellar activity can induce RV variations which can drown out or even mimic planetary signals - and it is notoriously difficult to model and thus mitigate the effects of these activity-induced nuisance signals. This is expected to be a major obstacle to using next-generation spectrographs to detect lower mass planets, planets with longer periods, and planets around more active stars. Enter Gaussian processes (GPs) which, we note, have a number of attractive features that make them very well suited to disentangling stellar activity signals from planetary signals. We present here a GP framework we developed to model RV time series jointly with ancillary activity indicators (e.g. bisector velocity spans, line widths, chromospheric activity indices), allowing the activity component of RV time series to be constrained and disentangled from e.g. planeta...

  16. Multi-day activity scheduling reactions to planned activities and future events in a dynamic model of activity-travel behavior

    Nijland, Linda; Arentze, Theo; Timmermans, Harry

    2014-01-01

    Modeling multi-day planning has received scarce attention in activity-based transport demand modeling so far. However, new dynamic activity-based approaches are being developed at the current moment. The frequency and inflexibility of planned activities and events in activity schedules of individuals indicate the importance of incorporating those pre-planned activities in the new generation of dynamic travel demand models. Elaborating and combining previous work on event-driven activity generation, the aim of this paper is to develop and illustrate an extension of a need-based model of activity generation that takes into account possible influences of pre-planned activities and events. This paper describes the theory and shows the results of simulations of the extension. The simulation was conducted for six different activities, and the parameter values used were consistent with an earlier estimation study. The results show that the model works well and that the influences of the parameters are consistent, logical, and have clear interpretations. These findings offer further evidence of face and construct validity to the suggested modeling approach.

  17. Poor transferability of species distribution models for a pelagic predator, the grey petrel, indicates contrasting habitat preferences across ocean basins.

    Leigh G Torres

    Full Text Available Species distribution models (SDMs are increasingly applied in conservation management to predict suitable habitat for poorly known populations. High predictive performance of SDMs is evident in validations performed within the model calibration area (interpolation, but few studies have assessed SDM transferability to novel areas (extrapolation, particularly across large spatial scales or pelagic ecosystems. We performed rigorous SDM validation tests on distribution data from three populations of a long-ranging marine predator, the grey petrel Procellaria cinerea, to assess model transferability across the Southern Hemisphere (25-65°S. Oceanographic data were combined with tracks of grey petrels from two remote sub-Antarctic islands (Antipodes and Kerguelen using boosted regression trees to generate three SDMs: one for each island population, and a combined model. The predictive performance of these models was assessed using withheld tracking data from within the model calibration areas (interpolation, and from a third population, Marion Island (extrapolation. Predictive performance was assessed using k-fold cross validation and point biserial correlation. The two population-specific SDMs included the same predictor variables and suggested birds responded to the same broad-scale oceanographic influences. However, all model validation tests, including of the combined model, determined strong interpolation but weak extrapolation capabilities. These results indicate that habitat use reflects both its availability and bird preferences, such that the realized distribution patterns differ for each population. The spatial predictions by the three SDMs were compared with tracking data and fishing effort to demonstrate the conservation pitfalls of extrapolating SDMs outside calibration regions. This exercise revealed that SDM predictions would have led to an underestimate of overlap with fishing effort and potentially misinformed bycatch mitigation

  18. Quantifying and modeling long-range cross correlations in multiple time series with applications to world stock indices.

    Wang, Duan; Podobnik, Boris; Horvatić, Davor; Stanley, H Eugene

    2011-04-01

    We propose a modified time lag random matrix theory in order to study time-lag cross correlations in multiple time series. We apply the method to 48 world indices, one for each of 48 different countries. We find long-range power-law cross correlations in the absolute values of returns that quantify risk, and find that they decay much more slowly than cross correlations between the returns. The magnitude of the cross correlations constitutes "bad news" for international investment managers who may believe that risk is reduced by diversifying across countries. We find that when a market shock is transmitted around the world, the risk decays very slowly. We explain these time-lag cross correlations by introducing a global factor model (GFM) in which all index returns fluctuate in response to a single global factor. For each pair of individual time series of returns, the cross correlations between returns (or magnitudes) can be modeled with the autocorrelations of the global factor returns (or magnitudes). We estimate the global factor using principal component analysis, which minimizes the variance of the residuals after removing the global trend. Using random matrix theory, a significant fraction of the world index cross correlations can be explained by the global factor, which supports the utility of the GFM. We demonstrate applications of the GFM in forecasting risks at the world level, and in finding uncorrelated individual indices. We find ten indices that are practically uncorrelated with the global factor and with the remainder of the world indices, which is relevant information for world managers in reducing their portfolio risk. Finally, we argue that this general method can be applied to a wide range of phenomena in which time series are measured, ranging from seismology and physiology to atmospheric geophysics. PMID:21599254

  19. Improvement of Measurement and Evaluation of Regional Authorities Activity: Model and Statistical Approach

    Petrova Elena Аleksandrovna

    2014-11-01

    Full Text Available Formation of strategy of long-term social and economic development is a basis for effective functioning of executive authorities and the assessment of its efficiency in general. Modern theories of assessment of public administration productivity are guided by the process approach when it is expedient to carry out the formation of business processes of regional executive authorities according to strategic indicators of territorial development. In this regard, there is a problem of modeling of interrelation of indicators of social and economic development of the region and quantitative indices of results of business processes of executive authorities. At the first stage of modeling, two main directions of strategic development, namely innovative and investment activity of regional economic systems are considered. In this regard, the work presents the results of modeling the interrelation between the indicators of regional social and economic development and innovative and investment activity. Therefore, for carrying out the analysis, the social and economic system of the region is presented in space of the main indicators of social and economic development of the territory and indicators of innovative and investment activity. The analysis is made on values of the indicators calculated for regions of the Russian Federation during 2000, 2005, 2008, 2010 and 2011. It was revealed that strategic indicators of innovative and investment activity have the most significant impact on key signs of social and economic development.

  20. Computational Modeling to Limit the Impact Displays and Indicator Lights Have on Habitable Volume Operational Lighting Constraints

    Clark, T. E.; Salazr, G. A; Brainard, G. C.

    2016-01-01

    The goal of this investigation is to determine design limitations and architectural solutions that limit the impact light from displays and indicator lamps have on the operational environment task lighting and lighting countermeasure spectrum constraints. It is concerning that this innovative architectural lighting system, could be compromised by spectrums from display systems, architectural materials, and structures that are not considered as part a full system design implementation. The introduction of many Commercial Off the Shelf (COTS) products to the spacecraft volume that contain LEDs, without consideration to the human factors and biological constraints, is another problem. Displays and indicators are a necessary part of the spacecraft and it is the goal of this research project to determine constraints and solutions that allow these systems to be integrated while minimizing how the lighting environment is modified by them. Due to the potentially broad scope of this endeavor, the project team developed constraints for the evaluation. The evaluation will be on a set of tasks that required significant exposure in the same environment while having a large chance of impacting the light spectrum the crew is expected to receive from the architectural lighting system. The team plans to use recent HRP research on "Net Habitable Volume" [1] to provide the boundary conditions for volume size. A Zemax ® lighting model was developed of a small enclosure that had high intensity overhead lighting and a standard intensity display with LED indicator arrays. The computer model demonstrated a work surface illuminated at a high level by the overhead light source compared to displays and indicators whose light is parallel to the work plane. The overhead lighting oversaturated spectral contributions from the display and indicator at the task work surface. Interestingly, when the observer looked at the displays and LEDs within the small enclosure, their spectral contribution