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Sample records for activity indicator model

  1. Modelling Dynamics of Main Indicators of Economic Activity of Households of Ukraine

    Directory of Open Access Journals (Sweden)

    Zhuk Mykola O.

    2014-01-01

    Full Text Available The goal of the article is the study of the structure of the system of economic activity of households in Ukraine and dynamics of interconnections between the main indicators of its functioning. In order to study dynamics of main indicators of the system of economic activity of households, the article uses tools of econometric vector-autoregression modelling (VAR models. Based on the existing statistical data and a developed VAR model, the article studies individual and aggregate influence of lag values of indicators upon their current values, system reaction on main indicators impulses, analyses dynamics of change of explanation of dispersion of some indicators with others, and conducts two types of forecasts that reflect a general tendency of development of economic activity of households in Ukraine. High accuracy of forecasts obtained with the help of the proposed econometric model testifies to a possibility of its practical application for assessment of the state of main indicators of economic activity of households of Ukraine. The article applies for the first time the tools of VAR modelling for the study of economic activity of households in Ukraine, which expands possibilities of use of mathematical and statistical methods and models in this field of economy.

  2. Antioxidant activity of flavonoids: a QSAR modeling using Fukui indices descriptors.

    Science.gov (United States)

    Djeradi, Houria; Rahmouni, Ali; Cheriti, Abdelkrim

    2014-10-01

    A QSAR model to predict the antioxidant activity of flavonoid compounds was developed. New electronic structure descriptors which are Fukui indices are correlated to the radical scavenging of flavonoids. These indices are obtained at DFT/B3LYP level of chemical quantum theory. The logIC50 experimental values of antioxidant activity are taken from the literature. The model is based on the multilinear regression method. Both experimental and calculated data of 36 flavonoids compounds were analyzed. A good correlation coefficient (R(2) = 0.8159) is obtained and the antioxidant activities of test compounds are well predicted. PMID:25311723

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

    DEFF Research Database (Denmark)

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

    2006-01-01

    for monoamine binding in TM-III, was used as the starting point to engineer activating metal ion sites between the extracellular segments of the beta2-adrenergic receptor. Cu(II) and Zn(II) alone and in complex with aromatic chelators acted as potent (EC50 decreased to 0.5 microm) and efficacious agonists...... in sites constructed between positions III:08 (Asp or His), VI:16 (preferentially Cys), and/or VII:06 (preferentially Cys). In molecular models built over the backbone conformation of the inactive rhodopsin structure, the heavy atoms that coordinate the metal ion were located too far away from each other...... 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...

  4. Uncertainty in magnetic activity indices

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Magnetic activity indices are widely used in theoretical studies of solar-terrestrial coupling and space weather prediction. However, the indices suffer from various uncertainties, which limit their application and even mislead to incorrect conclu-sion. In this paper we analyze three most popular indices, Kp, AE and Dst. Three categories of uncertainties in magnetic indices are discussed: "data uncertainty" originating from inadequate data processing, "station uncertainty" caused by in-complete station covering, and "physical uncertainty" stemming from unclear physical mechanism. A comparison between magnetic disturbances and related indices indicate that the residual Sq will cause an uncertainty of 1―2 in K meas-urement, the uncertainty in saturated AE is as much as 50%, and the uncertainty in Dst index caused by the partial ring currents is about a half of the partial ring cur-rent.

  5. Chromospheric activity as age indicator

    CERN Document Server

    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...

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    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.

  9. Causal Indicator Models: Identification, Estimation, and Testing

    Science.gov (United States)

    Bollen, Kenneth A.; Davis, Walter R.

    2009-01-01

    We discuss the identification, estimation, and testing of structural equation models that have causal indicators. We first provide 2 rules of identification that are particularly helpful in models with causal indicators--the 2C emitted paths rule and the exogenous X rule. We demonstrate how these rules can help us distinguish identified from…

  10. Modeling Chaotic Behavior of Chittagong Stock Indices

    Directory of Open Access Journals (Sweden)

    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.

  11. Density contrast indicators in cosmological dust models

    Indian Academy of Sciences (India)

    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.

  12. Multiple Indicators, Multiple Causes Measurement Error Models

    OpenAIRE

    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...

  13. Power law models of stock indices

    Science.gov (United States)

    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.

  14. From phenology models to risk indicator analysis

    Directory of Open Access Journals (Sweden)

    Márta Ladányi

    2010-11-01

    Full Text Available In this paper we outline a phenology model for estimating budbreak and full bloom starting dates of sour cherry on the effective heat sums with reasonable accuracy. With the help of RegCM3.1 model the possible trends of the phenology timing in the middle of the 21st century the shift of 12-13 days earlier budbreak and 6-7 days earlier of full bloom due to the warmer weather conditions can be clearly indicated. For the climatic characterization of sour cherry bloom period in between 1984-2010 and for the description of the expected changes in this very sensitive period of sour cherry withrespect to the time slice 2021-2050, we introduce seven climatic indicators as artificial weather parameters such as the numbers of days when the temperature was under 0°C and above 10 °C, the numbers of days when there was no and more than 5 mm precipitation as well as the absolute minimum, the mean of minimum and the mean of maximum daily temperatures. We survey the changes of the indicators in the examined period (1984-2010 and, regarding the full bloom start model results, we formulate the expectations forthe future and make comparisons.

  15. Environmental policy indicators: A systems model

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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

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

    NARCIS (Netherlands)

    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

  18. Modelling Dynamics of Main Economic Indicators of an Enterprise

    Directory of Open Access Journals (Sweden)

    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.

  19. Relations of PC indices to further geophysical activity parameters.

    Science.gov (United States)

    Stauning, P.

    2012-04-01

    The Polar Cap (PC) indices, PCN for the index values derived from Thule magnetic data and PCS derived from Vostok data, relate to the polar cap ionospheric plasma convection driven mainly by the interaction of the solar wind with the magnetosphere. Thus, the PC indices serve to monitor the input power from the solar wind which drives a range of geophysical disturbances such as magnetic storms and substorms, energization of the plasma trapped in the Earth's near space, auroral activity, and heating of the upper atmosphere. The presentation will demonstrate the relations between the PC indices and further parameters and indices used to describe geophysical activity such as polar cap potentials, auroral electrojet activity, Joule and particle heating of the upper atmosphere, mid-latitude magnetic variations, and ring current indices Dst, SYM-H and ASY-H.

  20. UV-Activated Luminescence/Colourimetric O2 Indicator

    Directory of Open Access Journals (Sweden)

    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.

  1. Cochlear power flux as an indicator of mechanical activity.

    Science.gov (United States)

    Diependaal, R J; de Boer, E; Viergever, M A

    1987-09-01

    The question of whether one can conclude just from basilar membrane (BM) vibration data that the cochlea is an active mechanical system is addressed. To this end, a method is developed which computes the power flux through a channel cross section of a short-wave cochlear model from a given BM vibration pattern. The power flux is an important indicator of mechanical activity because a rise in this function corresponds to creation of mechanical energy. The power flux method is applied to BM velocity patterns as measured by Johnstone and Yates [J. Acoust. Soc. Am. 55, 584-587 (1974)] and by Sellick et al. [Hear. Res. 10, 101-108 (1983)] in the guinea pig and by Robles et al. [Peripheral Auditory Mechanisms, edited by J.B. Allen, J.L. Hall, A.E. Hubbard, S.T. Neely, and A. Tubis (Springer, New York, 1986a), pp. 121-128, and J. Acoust. Soc. Am. 80, 1364-1374 (1986b)] in the chinchilla. Before the calculations are performed, the BM data are interpolated and smoothed in order to avoid numerical errors as a result of too few and noisy data points. The choice of the smoothing method influences the computed power flux function considerably. Nevertheless, the calculations appear to make a clear distinction between the "old" data, showing broad BM tuning (Johnstone and Yates, 1974), and the "new" data, in which the response is much more peaked (Sellick et al., 1983; Robles et al., 1986a, b). The former do not give rise to a significant increase of the power flux; the latter do, although less convincingly for the Sellick et al. (1983) data than for the Robles et al. (1986a,b) data. It is thus concluded that the recently obtained, sharply tuned BM responses reflect the presence of mechanical activity in the cochlea.

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

    Science.gov (United States)

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

  4. Constructing Global Production Activity Indices: The Chemical Industry

    OpenAIRE

    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...

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

    DEFF Research Database (Denmark)

    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 has been...

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

    DEFF Research Database (Denmark)

    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...... 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 functional diversity and activity of the microorganisms involved in decomposition processes. Their 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 polysacharides as cellulose, hemicellulose...

  7. What Is the Latent Variable in Causal Indicator Models?

    Science.gov (United States)

    Howell, Roy D.

    2014-01-01

    Building on the work of Bollen (2007) and Bollen & Bauldry (2011), Bainter and Bollen (this issue) clarifies several points of confusion in the literature regarding causal indicator models. This author would certainly agree that the effect indicator (reflective) measurement model is inappropriate for some indicators (such as the social…

  8. Microbial Activity Indices: Sensitive Soil Quality Indicators for Trace Metal Stress

    Institute of Scientific and Technical Information of China (English)

    LI Yong-Tao; T.BECQUER; C.QUANTIN; M.BENEDETTI; P.LAVELLE; DAI Jun

    2005-01-01

    Physicochemical properties, total and DTPA (diethylenetriaminepentaacetic acid)-extractable Cu, Zn, Pb and Cd contents, microbial biomass carbon (C) content and the organic C mineralization rate of the soils in a long-term trace metal-contaminated paddy region of Guangdong, China were determined to assess the sensitivity of microbial indices to moderately metal-contaminated paddy soils. The mean contents of total Cu, Zn, Pb and Cd were 251,250, 171, and 2.4mg kg-1 respectively. DTPA-extractable metals were correlated positively and significantly with total metals, CEC, and organic C (except for DTPA-extractable Cd), while they were negatively and highly significantly correlated with pH, total Fe and Mn. Metal stress resulted in relatively low ratios of microbial biomass C to organic C and in remarkable inhibition of the microbial metabolic quotient and C mineralization rate, which eventually led to increases in soil organic C and C/N. Moreover, microbial respiratory activity showed a stronger correlation to DTPA-extractable metals than to total metal content. Likewise, in the acid paddy soils some "linked" microbial activity indices, such as metabolic quotient and ratios of basal respiration to organic C, especially during initial incubation, were found to be more sensitive indicators of soil trace metal contamination than microbial biomass C or basal respiration alone.

  9. Enzyme activities by indicator of quality in organic soil

    Science.gov (United States)

    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

  10. ABOUT THE KEY PERFORMANCE INDICATORS OF SCIENTIFIC ACTIVITIES

    Directory of Open Access Journals (Sweden)

    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

  11. A new serum indicator of activity of interstitial pneumonitis

    International Nuclear Information System (INIS)

    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)

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

    Science.gov (United States)

    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…

  13. Synthetic activity indicators for M-type dwarf stars

    CERN Document Server

    Wedemeyer, Sven

    2015-01-01

    Here, we present a set of time-dependent 3D RMHD simulations of a M-dwarf star representative of AD Leo, which extend from the upper convection zone into the chromosphere. The 3D model atmospheres are characterized by a very dynamic and intermittent structure on small spatial and temporal scales and a wealth of physical processes, which by nature cannot be described by means of 1D static model atmospheres. Artificial observations of these models imply that a combination of complementary diagnostics such as Ca II lines and the continuum intensity from UV to millimeter wavelengths, probe various properties of the dynamics, thermal and magnetic structure of the photosphere and the chromosphere and thus provide measures of stellar activity, which can be compared to observations. The complicated magnetic field structure and its imprint in synthetic diagnostics may have important implications for the understanding and characterization of stellar activity and with it possibly for the evaluation of planetary habitabi...

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

    International Nuclear Information System (INIS)

    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

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

    Energy Technology Data Exchange (ETDEWEB)

    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.

  16. Are 't Hooft indices constrained in preon models with complementarity\\?

    Science.gov (United States)

    Okamoto, Yuko

    1989-03-01

    We present a counterexample to the conjecture that the 't Hooft indices for composite models satisfying complementarity are bounded in magnitude by 1. The model is based on the metacolor group SU(9)MC with two preons in the representation 36 and two preons in the representation 126¯. We obtain the 't Hooft index 12 for this model.

  17. Optogenetic Monitoring of Synaptic Activity with Genetically Encoded Voltage Indicators

    Science.gov (United States)

    Nakajima, Ryuichi; Jung, Arong; Yoon, Bong-June; Baker, Bradley J.

    2016-01-01

    The age of genetically encoded voltage indicators (GEVIs) has matured to the point that changes in membrane potential can now be observed optically in vivo. Improving the signal size and speed of these voltage sensors has been the primary driving forces during this maturation process. As a result, there is a wide range of probes using different voltage detecting mechanisms and fluorescent reporters. As the use of these probes transitions from optically reporting membrane potential in single, cultured cells to imaging populations of cells in slice and/or in vivo, a new challenge emerges—optically resolving the different types of neuronal activity. While improvements in speed and signal size are still needed, optimizing the voltage range and the subcellular expression (i.e., soma only) of the probe are becoming more important. In this review, we will examine the ability of recently developed probes to report synaptic activity in slice and in vivo. The voltage-sensing fluorescent protein (VSFP) family of voltage sensors, ArcLight, ASAP-1, and the rhodopsin family of probes are all good at reporting changes in membrane potential, but all have difficulty distinguishing subthreshold depolarizations from action potentials and detecting neuronal inhibition when imaging populations of cells. Finally, we will offer a few possible ways to improve the optical resolution of the various types of neuronal activities. PMID:27547183

  18. Diagnostic indicators for integrated assessment models of climate policy

    Energy Technology Data Exchange (ETDEWEB)

    Kriegler, Elmar; Petermann, Nils; Krey, Volker; Schwanitz, Jana; Luderer, Gunnar; Ashina, Shuichi; Bosetti, Valentina; Eom, Jiyong; Kitous, Alban; Mejean, Aurelie; Paroussos, Leonidas; Sano, Fuminori; Turton, Hal; Wilson, Charlie; Van Vuuren, Detlef

    2015-01-01

    Integrated assessments of how climate policy interacts with energy-economic systems can be performed by a variety of models with different functional structures. This article proposes a diagnostic scheme that can be applied to a wide range of integrated assessment models to classify differences among models based on their carbon price responses. Model diagnostics can uncover patterns and provide insights into why, under a given scenario, certain types of models behave in observed ways. Such insights are informative since model behavior can have a significant impact on projections of climate change mitigation costs and other policy-relevant information. The authors propose diagnostic indicators to characterize model responses to carbon price signals and test these in a diagnostic study with 11 global models. Indicators describe the magnitude of emission abatement and the associated costs relative to a harmonized baseline, the relative changes in carbon intensity and energy intensity and the extent of transformation in the energy system. This study shows a correlation among indicators suggesting that models can be classified into groups based on common patterns of behavior in response to carbon pricing. Such a classification can help to more easily explain variations among policy-relevant model results.

  19. Relationship between ionospheric electric fields and magnetic activity indices

    Science.gov (United States)

    Shirapov, D. Sh.

    2012-02-01

    The relations between electric fields in the daytime and nighttime sectors of the polar ionosphere and magnetic activity indices of auroral region (AL) and northern polar cap (PCN) are studied. It is found that the above relations do exist and are described by: a) equations U {pc/(1)} (kV) = 27.62 + 21.43PCN with a correlation coefficient R = 0.87 and U {pc/(1)} (kV) = 4.06 + 49.21PCN - 6.24 PCN2 between the difference in the electric potentials across the polar cap in the daytime sector U {pc/(1)} and PCN and b) regression equation U {pc/(2)} (kV) = 23.33 + 0.08|AL| with R = 0.86 between the difference in the electric potentials across the polar cap in the nighttime sector U {pc/(2)} and |AL|. It is shown that: a) it is possible to use the AL and PCN indices for real-time diagnostics of instantaneous values of the electric fields in the daytime and nighttime sectors of the polar ionosphere in the process of a substorm development; b) at the expansion phase of a substorm, due to calibration of PCN values by the values of the solar wind electric field E sw, the PCN index does not feel the contribution of the western electrojet and, accordingly, the contribution of the nighttime ionospheric electric field U {pc/(2)}, governed by the reconnection in the magnetospheric tail.

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

    Science.gov (United States)

    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

  1. Regional knowledge economy development indicative planning system conceptual model

    Directory of Open Access Journals (Sweden)

    Elena Davidovna Vaisman

    2012-12-01

    Full Text Available The subject of the research is the processes of Russian knowledge economy development, its progress on the regional level is taken as a theme, which determined the purpose of research: development of the regional knowledge economy development indicative planning method conceptual model. The methodological base of the research is the knowledge economy concept and supply and demand theory, the methods of comparative and system analysis and theoretical modeling; common generalization and classification methods and regression models are used in the work. As a result, we managed to create the regional knowledge economy development indicative planning method conceptual model, which includes the choice of the types of indicative plans and the justification for the complex of indicators according to the stated requirements to this complex. The model of supply and demand for knowledge dependency from the knowledge cost, allowing to determine the acceptable range for the indicators proceeding from the demand and supply levels and their interrelation, is developed. The obtained results may be used by the regional government authorities while planning the regional innovative development and consulting companies while making the proposals for this development

  2. Model-based evaluation of scientific impact indicators

    CERN Document Server

    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 ...

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

    Directory of Open Access Journals (Sweden)

    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.

  4. Safety models incorporating graph theory based transit indicators.

    Science.gov (United States)

    Quintero, Liliana; Sayed, Tarek; Wahba, Mohamed M

    2013-01-01

    There is a considerable need for tools to enable the evaluation of the safety of transit networks at the planning stage. One interesting approach for the planning of public transportation systems is the study of networks. Network techniques involve the analysis of systems by viewing them as a graph composed of a set of vertices (nodes) and edges (links). Once the transport system is visualized as a graph, various network properties can be evaluated based on the relationships between the network elements. Several indicators can be calculated including connectivity, coverage, directness and complexity, among others. The main objective of this study is to investigate the relationship between network-based transit indicators and safety. The study develops macro-level collision prediction models that explicitly incorporate transit physical and operational elements and transit network indicators as explanatory variables. Several macro-level (zonal) collision prediction models were developed using a generalized linear regression technique, assuming a negative binomial error structure. The models were grouped into four main themes: transit infrastructure, transit network topology, transit route design, and transit performance and operations. The safety models showed that collisions were significantly associated with transit network properties such as: connectivity, coverage, overlapping degree and the Local Index of Transit Availability. As well, the models showed a significant relationship between collisions and some transit physical and operational attributes such as the number of routes, frequency of routes, bus density, length of bus and 3+ priority lanes.

  5. Three Cs in Measurement Models: Causal Indicators, Composite Indicators, and Covariates

    Science.gov (United States)

    Bollen, Kenneth A.; Bauldry, Shawn

    2011-01-01

    In the last 2 decades attention to causal (and formative) indicators has grown. Accompanying this growth has been the belief that one can classify indicators into 2 categories: effect (reflective) indicators and causal (formative) indicators. We argue that the dichotomous view is too simple. Instead, there are effect indicators and 3 types of…

  6. Characterization and modeling of urban environmental quality indicators

    OpenAIRE

    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...

  7. Characterization and modeling of urban environmental quality indicators

    Directory of Open Access Journals (Sweden)

    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.

  8. Development of stochastic indicator models of lithology, Yucca Mountain, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Rautman, C.A. [Sandia National Labs., Albuquerque, NM (United States); Robey, T.H. [Spectra Research Inst., Albuquerque, NM (United States)

    1994-07-01

    Indicator geostatistical techniques have been used to produce a number of fully three-dimensional stochastic simulations of large-scale lithologic categories at the Yucca Mountain site. Each realization reproduces the available drill hole data used to condition the simulation. Information is propagated away from each point of observation in accordance with a mathematical model of spatial continuity inferred through soft data taken from published geologic cross sections. Variations among the simulated models collectively represent uncertainty in the lithology at unsampled locations. These stochastic models succeed in capturing many major features of welded-nonwelded lithologic framework of Yucca Mountain. However, contacts between welded and nonwelded rock types for individual simulations appear more complex than suggested by field observation, and a number of probable numerical artifacts exist in these models. Many of the apparent discrepancies between the simulated models and the general geology of Yucca Mountain represent characterization uncertainty, and can be traced to the sparse site data used to condition the simulations. Several vertical stratigraphic columns have been extracted from the three-dimensional stochastic models for use in simplified total-system performance assessment exercises. Simple, manual adjustments are required to eliminate the more obvious simulation artifacts and to impose a secondary set of deterministic geologic features on the overall stratigraphic framework provided by the indictor models.

  9. Platelet activation risk index as a prognostic thrombosis indicator.

    Science.gov (United States)

    Zlobina, K E; Guria, G Th

    2016-01-01

    Platelet activation in blood flow under high, overcritical shear rates is initiated by Von Willebrand factor. Despite the large amount of experimental data that have been obtained, the value of the critical shear rate, above which von Willebrand factor starts to activate platelets, is still controversial. Here, we recommend a theoretical approach to elucidate how the critical blood shear rate is dependent on von Willebrand factor size. We derived a diagram of platelet activation according to the shear rate and von Willebrand factor multimer size. We succeeded in deriving an explicit formula for the dependence of the critical shear rate on von Willebrand factor molecule size. The platelet activation risk index was introduced. This index is dependent on the flow conditions, number of monomers in von Willebrand factor, and platelet sensitivity. Probable medical applications of the platelet activation risk index as a universal prognostic index are discussed. PMID:27461235

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

    OpenAIRE

    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...

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

  13. Bacteria bioluminescent activity as an indicator of geomagnetic disturbances

    International Nuclear Information System (INIS)

    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

  14. The Presentation of Proper Indicators for Evaluation of WHO Collaboration Centres' Activities in Iran

    Directory of Open Access Journals (Sweden)

    S Motevallizadeh Ardakani

    2012-05-01

    Full Text Available Background:There are thirteen WHO collaborating centres in Iran which no mechanism or model has ever been foreseen for the evaluation of them.This original research is innovative in Iran, which has been offered by the researcher through a joint research project with WHO.Methods:The aforesaid model has been approved by the International Relation Department of Ministry of Health& education. This was done to develop model and indicators for evaluation of WHOCC's activities in Iran, which includes online survey, reports, literature reviews and website searches, published literature in another country, documents in Undersecretary for Research and Technology of Iranian Ministry of Health and Medical Education.Results:We studied collaboration centres in other countries and then compared these indicators together and presented a proper indicators for evaluation of WHOCC' activities in Iran.Conclusion: Evaluation of WHOCC's activities could be used as a mean for implementing policies and promoting knowledge production. Evaluation of WHOCC' activities is country's requirements.

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

    International Nuclear Information System (INIS)

    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

  16. Modeling Fecal Indicator Bacteria Like Salt in Newport Bay

    Science.gov (United States)

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

  18. Active terahertz imaging with Ne indicator lamp detector arrays

    Science.gov (United States)

    Kopeika, N. S.; Abramovich, A.; Yadid-Pecht, O.; Yitzhaky, Y.

    2009-08-01

    The advantages of terahertz (THz) imaging are well known. They penetrate well most non-conducting media and there are no known biological hazards, This makes such imaging systems important for homeland security, as they can be used to image concealed objects and often into rooms or buildings from the outside. There are also biomedical applications that are arising. Unfortunately, THz imaging is quite expensive, especially for real time systems, largely because of the price of the detector. Bolometers and pyroelectric detectors can each easily cost at least hundreds of dollars if not more, thus making focal plane arrays of them quite expensive. We have found that common miniature commercial neon indicator lamps costing typically about 30 cents each exhibit high sensitivity to THz radiation [1-3], with microsecond order rise times, thus making them excellent candidates for such focal plane arrays. NEP is on the order of 10-10 W/Hz1/2. Significant improvement of detection performance is expected when heterodyne detection is used Efforts are being made to develop focal plane array imagers using such devices at 300 GHz. Indeed, preliminary images using 4x4 arrays have already been obtained. An 8x8 VLSI board has been developed and is presently being tested. Since no similar imaging systems have been developed previously, there are many new problems to be solved with such a novel and unconventional imaging system. These devices act as square law detectors, with detected signal proportional to THz power. This allows them to act as mixers in heterodyne detection, thus allowing NEP to be reduced further by almost two orders of magnitude. Plans are to expand the arrays to larger sizes, and to employ super resolution techniques to improve image quality beyond that ordinarily obtainable at THz frequencies.

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

    Science.gov (United States)

    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.

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

    DEFF Research Database (Denmark)

    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...

  1. Improving quality indicator report cards through Bayesian modeling

    Directory of Open Access Journals (Sweden)

    Mahnken Jonathan D

    2008-11-01

    Full Text Available Abstract Background The National Database for Nursing Quality Indicators® (NDNQI® was established in 1998 to assist hospitals in monitoring indicators of nursing quality (eg, falls and pressure ulcers. Hospitals participating in NDNQI transmit data from nursing units to an NDNQI data repository. Data are summarized and published in reports that allow participating facilities to compare the results for their units with those from other units across the nation. A disadvantage of this reporting scheme is that the sampling variability is not explicit. For example, suppose a small nursing unit that has 2 out of 10 (rate of 20% patients with pressure ulcers. Should the nursing unit immediately undertake a quality improvement plan because of the rate difference from the national average (7%? Methods In this paper, we propose approximating 95% credible intervals (CrIs for unit-level data using statistical models that account for the variability in unit rates for report cards. Results Bayesian CrIs communicate the level of uncertainty of estimates more clearly to decision makers than other significance tests. Conclusion A benefit of this approach is that nursing units would be better able to distinguish problematic or beneficial trends from fluctuations likely due to chance.

  2. Environmental problems indicator under environmental modeling toward sustainable development

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    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

  4. Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices.

    Science.gov (United States)

    Munteanu, Cristian Robert; González-Díaz, Humberto; Magalhães, Alexandre L

    2008-09-21

    The huge amount of new proteins that need a fast enzymatic activity characterization creates demands of protein QSAR theoretical models. The protein parameters that can be used for an enzyme/non-enzyme classification includes the simpler indices such as composition, sequence and connectivity, also called topological indices (TIs) and the computationally expensive 3D descriptors. A comparison of the 3D versus lower dimension indices has not been reported with respect to the power of discrimination of proteins according to enzyme action. A set of 966 proteins (enzymes and non-enzymes) whose structural characteristics are provided by PDB/DSSP files was analyzed with Python/Biopython scripts, STATISTICA and Weka. The list of indices includes, but it is not restricted to pure composition indices (residue fractions), DSSP secondary structure protein composition and 3D indices (surface and access). We also used mixed indices such as composition-sequence indices (Chou's pseudo-amino acid compositions or coupling numbers), 3D-composition (surface fractions) and DSSP secondary structure amino acid composition/propensities (obtained with our Prot-2S Web tool). In addition, we extend and test for the first time several classic TIs for the Randic's protein sequence Star graphs using our Sequence to Star Graph (S2SG) Python application. All the indices were processed with general discriminant analysis models (GDA), neural networks (NN) and machine learning (ML) methods and the results are presented versus complexity, average of Shannon's information entropy (Sh) and data/method type. This study compares for the first time all these classes of indices to assess the ratios between model accuracy and indices/model complexity in enzyme/non-enzyme discrimination. The use of different methods and complexity of data shows that one cannot establish a direct relation between the complexity and the accuracy of the model. PMID:18606172

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

    Directory of Open Access Journals (Sweden)

    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

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

  8. Causal Indicator Models: Unresolved Issues of Construction and Evaluation

    Science.gov (United States)

    West, Stephen G.; Grimm, Kevin J.

    2014-01-01

    These authors agree with Bainter and Bollen that causal effects represents a useful measurement structure in some applications. The structure of the science of the measurement problem should determine the model; the measurement model should not determine the science. They also applaud Bainter and Bollen's important reminder that the full…

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

    Science.gov (United States)

    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…

  10. Diagnostic indicators for integrated assessment models of climate policy

    NARCIS (Netherlands)

    Kriegler, Elmar; Petermann, Nils; Krey, Volker; Schwanitz, Valeria Jana; Luderer, Gunnar; Ashina, Shuichi; Bosetti, Valentina; Eom, Jiyong; Kitous, Alban; Méjean, Aurélie; Paroussos, Leonidas; Sano, Fuminori; Turton, Hal; Wilson, Charlie; Van Vuuren, Detlef P.

    2015-01-01

    Integrated assessments of how climate policy interacts with energy-economy systems can be performed by a variety of models with different functional structures. In order to provide insights into why results differ between models, this article proposes a diagnostic scheme that can be applied to a wid

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

    Directory of Open Access Journals (Sweden)

    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.

  12. Building gene expression signatures indicative of transcription factor activation to predict AOP modulation

    Science.gov (United States)

    Building gene expression signatures indicative of transcription factor activation to predict AOP modulation Adverse outcome pathways (AOPs) are a framework for predicting quantitative relationships between molecular initiatin...

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

    CERN Document Server

    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...

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

    International Nuclear Information System (INIS)

    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

  15. DEVELOPMENT OF ENVIRONMENTAL INDICATORS FOR USE IN MACROECONOMIC MODELS

    OpenAIRE

    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...

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

    Science.gov (United States)

    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...

  17. Happiness Indices among Persons with Profound and Severe Disabilities during Leisure and Work Activities: A Comparison.

    Science.gov (United States)

    Yu, Dickie C. T.; Spevack, Sara; Hiebert, Rene; Martin, Toby L.; Goodman, Ryan; Martin, Todd G.; Harapiak, Shayla; Martin, Garry L.

    2002-01-01

    Happiness indices were observed during naturally occurring work and leisure activities for individuals with severe (n=12) and profound (n=7) disabilities. Both groups showed more happiness indices during leisure activities, although the difference for the profound group was smaller. There was also a significant difference between groups for…

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Indian Academy of Sciences (India)

    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.

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

    Science.gov (United States)

    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.

  1. Event-Based Activity Modeling

    DEFF Research Database (Denmark)

    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 activit...

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

    Science.gov (United States)

    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

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

    Institute of Scientific and Technical Information of China (English)

    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.

  4. Active control: Wind turbine model

    DEFF Research Database (Denmark)

    Bindner, H.

    1999-01-01

    validation as well as parameter estimation. The model includes a simple model of the structure of the turbine including tower and flapwise blade bending,a detailed model of the gear box and induction generator, a linearized aerodynamic model including modelling of induction lag and actuator and sensor models......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...

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

    International Nuclear Information System (INIS)

    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

  6. 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

    CERN Document Server

    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.

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

    Science.gov (United States)

    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

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

    OpenAIRE

    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...

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

    Science.gov (United States)

    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

  10. 13C-DEPLETED MICROBIAL LIPIDS INDICATE SEASONAL METHANOTROPHIC ACTIVITY IN SHALLOW ESTUARINE SEDIMENTS

    Science.gov (United States)

    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...

  11. Sensing Cardiac Electrical Activity With a Cardiac Myocyte--Targeted Optogenetic Voltage Indicator

    NARCIS (Netherlands)

    Chang Liao, Mei-Ling; de Boer, Teun P; Mutoh, Hiroki; Raad, Nour; Richter, Claudia; Wagner, Eva; Downie, Bryan R; Unsöld, Bernhard; Arooj, Iqra; Streckfuss-Bömeke, Katrin; Döker, Stephan; Luther, Stefan; Guan, Kaomei; Wagner, Stefan; Lehnart, Stephan E; Maier, Lars S; Stühmer, Walter; Wettwer, Erich; van Veen, Toon; Morlock, Michael M; Knöpfel, Thomas; Zimmermann, Wolfram-Hubertus

    2015-01-01

    RATIONALE: Monitoring and controlling cardiac myocyte activity with optogenetic tools offer exciting possibilities for fundamental and translational cardiovascular research. Genetically encoded voltage indicators may be particularly attractive for minimal invasive and repeated assessments of cardiac

  12. Mid-infrared Spectral Indicators of Star Formation and Active Galactic Nucleus Activity in Normal Galaxies

    NARCIS (Netherlands)

    Treyer, Marie; Schiminovich, David; Johnson, Benjamin D.; O'Dowd, Matt; Martin, Christopher D.; Wyder, Ted; Charlot, Stephane; Heckman, Timothy; Martins, Lucimara; Seibert, Mark; van der Hulst, J. M.

    2010-01-01

    We investigate the use of mid-infrared (MIR) polycyclic aromatic hydrocarbon (PAH) bands, the continuum, and emission lines as probes of star formation (SF) and active galactic nucleus (AGN) activity in a sample of 100 "normal" and local (z similar to 0.1) emission-line galaxies. The MIR spectra wer

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

    OpenAIRE

    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...

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    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

  16. STUDY OF INDICATORS OF AMYLOLYTIC ACTIVITY OF MOUTH FLUID OF DENTAL HEALTHCARE WORKERS UNDER VARIOUS CONDITIONS OF PROFESSIONAL ACTIVITY

    Directory of Open Access Journals (Sweden)

    S. V. Melnikova

    2014-06-01

    Full Text Available Amylolytic activity indicators of oral liquid of dentists in different conditions of professional activity at outpatient dental care and lectures have been studied. We observed an increase in amylolytic activity of oral liquid of dentists men and women after outpatient dental care, that indicates the activation of the sympathetic-adrenal system in response to the professional stress. We also identified the gender-specific response to the α-amylase load in professional dentists: male amylolytic activity of oral fluid was higher than female. In the group of male and female dentist cadets we registered the decrease of amylolytic activity of oral fluid. The correlation analysis revealed a negative relationship between the level of α-amylase and rigidity in a group of male dentists. We suggested that male dentists reduced their adaptation to the psychosocial conditions under job stress. Keywords: dentist, professional activity, professional stress, outpatient dental care, lectures, amylolytic activity of oral fluid.

  17. Low-level electrical currents and brain indicators of behavioral activation

    Directory of Open Access Journals (Sweden)

    F. Lolas

    1977-12-01

    Full Text Available Distinguishing between slow brain potential correlates of arousal and activation on the basis of their functional role and temporal involvement during a reaction-time task, data are presented which suggest that weak electrical polarizing currents applied to the head in human subjects modify predominantly activation indicators rather than arousal ones.

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

    Directory of Open Access Journals (Sweden)

    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

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

    Science.gov (United States)

    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

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

    Institute of Scientific and Technical Information of China (English)

    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.

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

    Science.gov (United States)

    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...

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

    OpenAIRE

    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...

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

    Directory of Open Access Journals (Sweden)

    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.

  4. Forecasting Economic Activity in Germany – How Useful are Sentiment Indicators?

    OpenAIRE

    Schröder, Michael; Hüfner, Felix P.

    2002-01-01

    We analyze four economic sentiment indicators for the German economy regarding their ability to forecast economic activity. Using cross correlations and Granger causality tests we find that the ifo business expectations (ifo), the Purchasing Managers Index (PMI) and the ZEW Indicator of Economic Sentiment (ZEW) lead the year-on-year growth rate of German industrial production by five months. Taking into account the publication lag of industrial production this lead is even larger. On the cont...

  5. Active Learning for Player Modeling

    DEFF Research Database (Denmark)

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

    2015-01-01

    Learning models of player behavior has been the focus of several studies. This work is motivated by better understanding of player behavior, a knowledge that can ultimately be employed to provide player-adapted or personalized content. In this paper, we propose the use of active learning for player...... experience modeling. We use a dataset from hundreds of players playing Infinite Mario Bros. as a case study and we employ the random forest method to learn mod- els of player experience through the active learning approach. The results obtained suggest that only part of the dataset (up to half the size...

  6. Usefulness of Endoscopic Indices in Determination of Disease Activity in Patients with Crohn’s Disease

    Directory of Open Access Journals (Sweden)

    Marcin Kucharski

    2016-01-01

    Full Text Available Background. Assessment of endoscopic activity of Crohn’s disease (CD is of growing importance both in clinical practice and in clinical trials. The study aimed to assess which of the endoscopic indices used for evaluation of mucosal changes correlates with the currently used clinical indices for determination of disease activity and with the results of histopathological examination. Study. A group of 71 patients with CD and 52 individuals without a diagnosis of GI tract disease as a control group were investigated, considering clinical and histological severity of the disease and the severity of inflammatory changes in the bowel. Evaluation was conducted with the use of clinical, endoscopic, and histopathological indices. Endoscopic indices were then correlated with different clinical and histopathological indices with the aim of finding the strongest correlations. Results and Conclusions. Correlation between the clinical disease activity and the severity of endoscopic lesions in CD was shown in this study to be poor. The results also indicate that the optimal endoscopic index used in the diagnostic stage and in the assessment of treatment effects in CD is Simple Endoscopic Score for Crohn’s Disease (SES-CD.

  7. Assessment of indices of temperature extremes simulated by multiple CMIP5 models over China

    Science.gov (United States)

    Dong, Siyan; Xu, Ying; Zhou, Botao; Shi, Ying

    2015-08-01

    Given that climate extremes in China might have serious regional and global consequences, an increasing number of studies are examining temperature extremes in China using the Coupled Model Intercomparison Project Phase 5 (CMIP5) models. This paper investigates recent changes in temperature extremes in China using 25 state-of-the-art global climate models participating in CMIP5. Thirteen indices that represent extreme temperature events were chosen and derived by daily maximum and minimum temperatures, including those representing the intensity (absolute indices and threshold indices), duration (duration indices), and frequency (percentile indices) of extreme temperature. The overall performance of each model is summarized by a "portrait" diagram based on relative root-mean-square error, which is the RMSE relative to the median RMSE of all models, revealing the multi-model ensemble simulation to be better than individual model for most indices. Compared with observations, the models are able to capture the main features of the spatial distribution of extreme temperature during 1986-2005. Overall, the CMIP5 models are able to depict the observed indices well, and the spatial structure of the ensemble result is better for threshold indices than frequency indices. The spread amongst the CMIP5 models in different subregions for intensity indices is small and the median CMIP5 is close to observations; however, for the duration and frequency indices there can be wide disagreement regarding the change between models and observations in some regions. The model ensemble also performs well in reproducing the observational trend of temperature extremes. All absolute indices increase over China during 1961-2005.

  8. Synthesis, Characterization and Biological Activities of a New Fluorescent Indicator for the Intracellular Calcium Ions

    Institute of Scientific and Technical Information of China (English)

    HE Huaizhen; LEI Lei; LI Jianli; SHI Zhen

    2009-01-01

    A novel calcium-selective fluorescent indicator Fluo-3M AM was synthesized by introduction of a methyl group into the Ca2+-chelating moiety and adequately characterized by spectral methods (1H NMR, GC-MS, IR and MALDI-TOF MS). Meanwhile, its fluorescence spectra and some biological activities have been also studied. The results indicate that the new fluorescent indicator has relatively high affinity to calcium and a strong fluorescence signal, which should be useful for biomedical researchers to investigate the effects of calcium ions in biosystems.

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

    Directory of Open Access Journals (Sweden)

    A. A. Arshinov

    2005-01-01

    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.

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

    OpenAIRE

    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....

  11. Parameterization of FAO's AquaCrop Model by Integrating a Hydrological Model and Climate Indices

    Science.gov (United States)

    Langhorn, C.; Kienzle, S. W.; Doria, R.; Jiskoot, H.; Cheng, H.

    2014-12-01

    One of the greatest global challenges is to meet growing food demand under rapidly changing climate conditions. Continued global population growth increases the pressure on the agriculture sector to produce enough food to feed the world. In 2013, the province of Alberta, Canada, set a record high for principal field crop production of 34.5 million tonnes (Matejovsky, 2014). AquaCrop, a crop yield and water productivity model developed by the Land and Water Division of the Food and Agriculture Organization of the United Nations (FAO), attempts to balance the accuracy, simplicity and robustness of crop modelling (Steduto et al., 2009). The model is focused on the three components of the soil-plant-atmosphere continuum. AquaCrop is applied in this study for simulating hard red spring wheat and durum wheat yields, and simulated yields are verified against observed yields available from a crop insurer. One of the challenges of crop yield modelling is the selection of a realistic seeding date, which can vary by four to five weeks (end of March to end of April). In order to enable realistic simulation for the historical period 1950-2010 as well the future period 2041-2070, AquaCrop is coupled with the ACRU agro-hydrological modelling system to determine the soil moisture conditions after the spring snow melt, and with a WMO climate index which determines the climatological beginning of the growing season. Therefore, the selection of a realistic seeding data for individual years can be dynamically optimized, based on the combination of the beginning of the climatological growing season and soil moisture status. The results of the coupling of ACRU and calculated climate indices with AquaCrop will be presented to show how improvements of parameterization of the AquaCrop model can be used to simulate wheat yields in Southern Alberta under changing climate conditions.

  12. A Growth-rate Indicator for Compton-thick Active Galactic Nuclei

    Science.gov (United States)

    Brightman, M.; Masini, A.; 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.

    2016-07-01

    Due to their heavily obscured central engines, the growth rate of Compton-thick (CT) active galactic nuclei (AGNs) is difficult to measure. A statistically significant correlation between the Eddington ratio, λ Edd, and the X-ray power-law index, Γ, observed in unobscured AGNs 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 Γ is challenging. Here we study a sample of local, predominantly CT megamaser AGNs, where the black hole mass, and thus Eddington luminosity, are well known. We compile results of the 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 Γ values and X-ray luminosities, L X. With a simple bolometric correction to L X to calculate λ Edd, we find a statistically significant correlation between Γ and λ Edd (p = 0.007). A linear fit to the data yields Γ = (0.41 ± 0.18)log10 λ Edd + (2.38 ± 0.20), which is statistically consistent with results for unobscured AGNs. This result implies that torus modeling successfully recovers the intrinsic AGN parameters. Since the megamasers have low-mass black holes (M BH ≈ 106-107 M ⊙) and are highly inclined, our results extend the Γ-λ Edd relationship to lower masses and argue against strong orientation effects in the corona, in support of AGN unification. Finally this result supports the use of Γ as a growth-rate indicator for accreting black holes, even for CT AGNs.

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

    International Nuclear Information System (INIS)

    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)

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

    OpenAIRE

    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...

  15. The development of candidate composite disease activity and responder indices for psoriatic arthritis (GRACE project)

    NARCIS (Netherlands)

    Helliwell, P.S.; Fitzgerald, O.; Fransen, J.; Gladman, D.D.; Kreuger, G.G.; Callis-Duffin, K.; McHugh, N.; Mease, P.J.; Strand, V.; Waxman, R.; Azevedo, V.F.; Beltran Ostos, A.; Carneiro, S.; Cauli, A.; Espinoza, L.R.; Flynn, J.A.; Hassan, N.; Healy, P.; Kerzberg, E.M.; Lee, Y.J.; Lubrano, E.; Marchesoni, A.; Marzo-Ortega, H.; Porru, G.; Moreta, E.G.; Nash, P.; Raffayova, H.; Ranza, R.; Raychaudhuri, S.P.; Roussou, E.; Scarpa, R.; Song, Y.W.; Soriano, E.R.; Tak, P.P.; Ujfalussy, I.; Vlam, K. de; Walsh, J.A.

    2013-01-01

    OBJECTIVE: To develop new composite disease activity indices for psoriatic arthritis (PsA). METHODS: Data from routine clinic visits at multiple centres were collected in a systematic manner. Data included all domains identified as important in randomised controlled trials in PsA. Decisions to chang

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

    CERN Document Server

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    Jeye, Brittany M; Karanian, Jessica M; Slotnick, Scott D

    2016-08-26

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    Jeye, Brittany M.; Karanian, Jessica M.; Slotnick, Scott D.

    2016-01-01

    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. PMID:27571109

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

    Directory of Open Access Journals (Sweden)

    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

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

    Science.gov (United States)

    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).

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

    Science.gov (United States)

    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…

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

    DEFF Research Database (Denmark)

    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....

  5. Emphasis: an active management model

    International Nuclear Information System (INIS)

    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

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

    Directory of Open Access Journals (Sweden)

    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

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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. Predicting Economic Activity in Serbia By Constructing Serbian Leading Economic Indicator (SERLEI

    Directory of Open Access Journals (Sweden)

    Sandra S Kamenković

    2013-07-01

    Full Text Available Timely identification of the next stage of the business cycle, or a shift in economic activity from the previous trend, is a critical factor for the success of counter-cyclical economic policy. This paper is based on the construction of a new leading indicator of the business cycle which, with a certain time lag, suggests the next stage of the business cycle in the Republic of Serbia. SERLEI (Serbian Leading Economic Indicator is tested in the period of expansion and at the beginning of recession in the Serbian economy to show to what extent it was possible to predict a shift in business cycles

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

    OpenAIRE

    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...

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

    Indian Academy of Sciences (India)

    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. Disinfection of model indicator organisms in a drinking water pilot plant by using PEROXONE

    Energy Technology Data Exchange (ETDEWEB)

    Wolfe, R.L.; Stewart, M.H.; Liang, S.; McGuire, M.J. (Metropolitan Water District of Southern California, La Verne (USA))

    1989-09-01

    PEROXONE is an advanced oxidation process generated by combining ozone and hydrogen peroxide. This process stimulates the production of hydroxyl radicals, which have been shown to be superior to ozone for the destruction of some organic contaminants. In this study, pilot-scale experiments were conducted to evaluate the microbicidal effectiveness of PEROXONE and ozone against three model indicator groups. Escherichia coli and MS2 coliphage were seeded into the influent to the preozonation contactors of a pilot plant simulating conventional water treatment and were exposed to four ozone dosages, four hydrogen peroxide/ozone weight ratios, and four contact times in two source waters--Colorado River water and state project water--of different quality. The removal of heterotrophic plate count bacteria was also monitored. Results of the study indicated that the microbicidal activity of PEROXONE was greatly affected by the applied ozone dose, H2O2/O3 ratio, contact time, source water quality, and type of microorganism tested. At contact times of 5 min or less, ozone alone was a more potent bactericide than PEROXONE at all H2O2/O3 ratios tested. However, this decrease in the bactericidal potency of PEROXONE was dramatic only as the H2O2/O3 ratio was increased from 0.5 to 0.8. The fact that the bactericidal activity of PEROXONE generally decreased with increasing H2O2/O3 ratios was thought to be related to the lower ozone residuals produced. The viricidal activity of PEROXONE and ozone was comparable at all of the H2O2/O3 ratios. Heterotrophic plate count bacteria were the most resistant group of organisms. Greater inactivation of E. coli and MS2 was observed in Colorado River water than in state project water and appeared to result from differences in the turbidity and alkalinity of the two waters. Regardless of source water, greater than 4.5 log10 of E.

  14. Disinfection of model indicator organisms in a drinking water pilot plant by using PEROXONE.

    Science.gov (United States)

    Wolfe, R L; Stewart, M H; Liang, S; McGuire, M J

    1989-09-01

    PEROXONE is an advanced oxidation process generated by combining ozone and hydrogen peroxide. This process stimulates the production of hydroxyl radicals, which have been shown to be superior to ozone for the destruction of some organic contaminants. In this study, pilot-scale experiments were conducted to evaluate the microbicidal effectiveness of PEROXONE and ozone against three model indicator groups. Escherichia coli and MS2 coliphage were seeded into the influent to the preozonation contactors of a pilot plant simulating conventional water treatment and were exposed to four ozone dosages (0.5, 1.0, 2.0, and 4.0 mg/liter), four hydrogen peroxide/ozone (H2O2/O3) weight ratios (0, 0.3, 0.5, and 0.8), and four contact times (4, 5, 12, and 16 min) in two source waters--Colorado River water and state project water--of different quality. The removal of heterotrophic plate count bacteria was also monitored. Results of the study indicated that the microbicidal activity of PEROXONE was greatly affected by the applied ozone dose, H2O2/O3 ratio, contact time, source water quality, and type of microorganism tested. At contact times of 5 min or less, ozone alone was a more potent bactericide than PEROXONE at all H2O2/O3 ratios tested. However, this decrease in the bactericidal potency of PEROXONE was dramatic only as the H2O2/O3 ratio was increased from 0.5 to 0.8. The fact that the bactericidal activity of PEROXONE generally decreased with increasing H2O2/O3 ratios was thought to be related to the lower ozone residuals produced. The viricidal activity of PEROXONE and ozone was comparable at all of the H2O2/O3 ratios. Heterotrophic plate count bacteria were the most resistant group of organisms. Greater inactivation of E. coli and MS2 was observed in Colorado River water than in state project water and appeared to result from differences in the turbidity and alkalinity of the two waters. Regardless of source water, greater than 4.5 log10 of E. coli and MS2 was inactivated

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

    Institute of Scientific and Technical Information of China (English)

    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.

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

    OpenAIRE

    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...

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

    OpenAIRE

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

    NARCIS (Netherlands)

    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

  19. Electrospun nanofiber layers with incorporated photoluminescence indicator for chromatography and detection of ultraviolet-active compounds.

    Science.gov (United States)

    Kampalanonwat, Pimolpun; Supaphol, Pitt; Morlock, Gertrud E

    2013-07-19

    For the first time, electrospun nanofiber phases were fabricated with manganese-activated zinc silicate as photoluminescent indicator (UV254) to transfer and enlarge its application to the field of UV-active compounds. By integration of such an indicator, UV-active compounds got visible on the chromatogram. The separation of 7 preservatives and a beverage sample were studied on the novel luminescent polyacrylonitrile layers. The mat thickness and mean fiber diameters were calculated for additions of different UV254 indicator concentrations. The separation efficiency on the photoluminescent layers was characterized by comparison to HPTLC layers and calculation of the plate numbers and resolutions. Some benefits were the reduction in migration distance (3cm), migration time (12min), analyte (10-nL volumes) and mobile phase volumes (1mL). As ultrathin stationary phase, such layers are suited for their integration into the Office Chromatography concept. For the first time, electrospun nanofiber layers were hyphenated with mass spectrometry and the confirmation of compounds was successfully performed using the elution-head based TLC-MS Interface.

  20. Anti-CII antibody as a novel indicator to assess disease activity in systemic lupus erythematosus.

    Science.gov (United States)

    He, C; Mao, T; Feng, Y; Song, T; Qin, C; Yan, R; Feng, P

    2015-11-01

    Systemic lupus erythematosus (SLE) is a chronic autoimmune disorder that affects a variety of organ systems. Anti-dsDNA Abs and complement factors have been used as indicators of lupus activity for more than 50 years. A novel indicator of activation in SLE is reported in this paper. Anti-collagen type II (CII) Ab was obviously elevated in patients with SLE compared to those patients with ankylosing spondylitis (AS) and healthy controls (HCs). Anti-CII-Ab-positive patients with SLE showed significantly higher levels of serum IgG and higher titers of ANA but lower levels of C3 and C4 than controls. A positive correlation was demonstrated between anti-CII Ab and serum IgG in SLE patients (r = 0.50, p < 0.0001). The negative correlations of anti-CII Ab with C3 and C4 were observed in SLE patients (r = -0.36, p = 0.0013; r = -0.37, p = 0.0006, respectively). The reduced anti-CII Ab level was accompanied by decreased level of serum IgG and increased levels of C3 and C4 after regular treatment. Therefore, anti-CII Ab could be a novel indicator for monitoring activity of SLE.

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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

  4. Correlation study of some solar activity indices in the cycles 21 - 23

    CERN Document Server

    Bruevich, E A

    2013-01-01

    The correlation coefficients of the linear regression of six solar indices versus F10,7 were analyzed in solar cycles 21, 22 and 23. We also analyzed the interconnection between these indices and F10,7 with help of the approximation by the polynomials of second order. The indices we've studied in this paper are: Wolf numbers - W, 530,3 nm coronal line flux - F530, the total solar irradiance - TSI, Mg II UV-index 280 nm core-to-wing ratio, Flare Index - FI and Counts of flares. In the most cases the regressions of these solar indices versus F10,7 are close to linear except the moments of time near to the minimums and maximums of 11-year activity. For the linear regressions we found that the values of correlation coefficients Kcorr(t) for the indices versus F10,7 and W show the cyclic variations with periods approximately equal to the to half length of 11-year cycle - 5,5 years approximately.

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

    Directory of Open Access Journals (Sweden)

    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. The effects measurement of hand massage by the autonomic activity and psychological indicators.

    Science.gov (United States)

    Kunikata, Hiroko; Watanabe, Kumi; Miyoshi, Makoto; Tanioka, Tetsuya

    2012-01-01

    This study examined the effects of hand massage on autonomic activity, anxiety, relaxation and sense of affinity by performing it to healthy people before applying the technic in actual clinical practice. Findings were showed below: 1) the significant increase in the pNN50 and the significant decrease in the heart rate meant the intervention of massage increased the autonomic nervous activity, improved the parasympathetic nerve activity and reduced the sympathetic nerve activity. This means the subjects were considered to be in a state of relaxation. 2) Salivary α amylase has been reported as a possible indicator for sympathetic nerve activity. In this study, there was no significant difference in the salivary α amylase despite a decrease after massage. 3) State anxiety score is temporal situational reactions while being in the state of anxiety and this score decreased significantly after massage. 4) The level of willingness to communicate with other person and the sense of affinity toward the massage-performer had a positive change of 70 percent. From this, it can be considered that a comfortable physical contact between a patient and a nursing profession, who are in a supported-supportive relationship, leads to an effect of shortening the gap in their psychological distance.

  7. Milk catalase activity as an indicator of thermization treatments used in the manufacture of cheddar cheese.

    Science.gov (United States)

    Hirvi, Y; Griffiths, M W

    1998-02-01

    Pilot-scale studies were carried out to determine the effect of different heat treatments on catalase activity during the manufacture and maturation of Cheddar cheese. Three trials were conducted to monitor catalase activity using disk flotation and polarographic methods. Cheese was manufactured from raw milk and from milk that had been treated at 60, 65 and 72 degrees C for 16 s using a high temperature, short time heat exchanger. Catalase activity was also determined in samples of commercial milk and in samples of mild, medium, sharp, and extra sharp Cheddar cheeses obtained from different manufacturers in order to verify that the enzyme could be used as an indicator of the type of heat treatment applied to cheese milk. Catalase activity was present in cheese made from raw milk but was only present at low concentrations in cheese manufactured from thermized milk. However, high catalase activity was observed in commercial samples of sharp and extra sharp Cheddar cheese that was apparently due to the growth of catalase-producing yeasts in the cheese during maturation.

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

    Directory of Open Access Journals (Sweden)

    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.

  9. Do the physical properties of occlusal-indicating media affect muscle activity [EMG) during use?

    Science.gov (United States)

    Forrester, Stephanie E; Pain, Matthew T G; Presswood, Ron; Toy, Andy

    2009-06-01

    Four occlusal marking media (Parkell film, articulating silk, articulating paper and T-Scan foil) were tested to assess whether they affected neuromuscular function during occlusal marking events. Muscle activity of the anterior temporalis (TA) and superficial masseter (MS) muscles were obtained from surface EMG measurements during a slow closure to occlusion followed immediately by a forceful bite and a maximum clench onto each of the various occlusal indicating media. Muscle activity during the whole period of activation and immediately following onset were investigated. Significant differences in neuromuscular function between the occlusal marking media were observed, particularly between the Parkell film and articulating silk as opposed to the articulating paper and the T-Scan foil. The Parkell film and articulating silk gave neuromuscular function very similar to that of natural dentition occlusal contact, while the articulating paper and T-Scan foil showed similarities to occluding onto cotton rolls as previously reported (1). These results suggest that both the thickness and plasticity of the indicating media affect neuromuscular function during occlusion.

  10. Resistance of undisturbed soil microbiomes to ceftriaxone indicates extended spectrum β-lactamase activity

    Directory of Open Access Journals (Sweden)

    Joao eGatica

    2015-11-01

    Full Text Available Emergence and spread of antibiotic resistance, and specifically resistance to third generation cephalosporins associated with extended spectrum β-lactamase (ESBL activity, is one of the greatest epidemiological challenges of our time. In this study we addressed the impact of the third generation cephalosporin ceftriaxone on microbial activity and bacterial community composition of two physically and chemically distinct undisturbed soils in highly regulated microcosm experiments. Surprisingly, periodical irrigation of the soils with clinical doses of ceftriaxone did not affect their microbial activity; and only moderately impacted the microbial diversity (α and β of the two soils. Corresponding slurry experiments demonstrated that the antibiotic capacity of ceftriaxone rapidly diminished in the presence of soil, and approximately 70% of this inactivation could be explained by biological activity. The biological nature of ceftriaxone degradation in soil was supported by microcosm experiments that amended model Escherichia coli strains to sterile and non-sterile soils in the presence and absence of ceftriaxone and by the ubiquitous presence of ESBL genes (blaTEM, blaCTX-M and blaOXA in soil DNA extracts. Collectively, these results suggest that the resistance of soil microbiomes to ceftriaxone stems from biological activity and even more, from broad-spectrum β-lactamase activity; raising questions regarding the scope and clinical implications of ESBLs in soil microbiomes.

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

    CERN Document Server

    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.

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

    Institute of Scientific and Technical Information of China (English)

    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.

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

    Science.gov (United States)

    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.

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

    OpenAIRE

    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...

  15. Impact of ICTs on Innovation Activities: Indication for selected European countries

    Directory of Open Access Journals (Sweden)

    Zoroja Jovana

    2016-09-01

    Full Text Available The development and usage of information and communication technologies (ICTs has particularly increased in the last two decades, while at the same time showing great potential to improve the efficacy of business processes, facilitate and drive innovations, and therefore increase competitiveness. Innovation activities represent an important factor for social and economic change as well as for increasing competitive advantages at both the national and firm levels. This paper focuses on the role that ICTs play in the innovation performance of selected European countries. Using data drawn from the Eurostat and Global Competitiveness Index (2007–2011 and panel regression analysis, research results indicate that ICTs have a significant impact on business innovation activities.

  16. Active Appearance Model Based Hand Gesture Recognition

    Institute of Scientific and Technical Information of China (English)

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

  18. Neotectonic activity at the Giant Gjallar Vent (Norwegian Sea) indicates a future phase of active fluid venting

    Science.gov (United States)

    Dumke, Ines; Berndt, Christian; Crutchley, Gareth; Couillard, Mélanie; Gay, Aurélien

    2013-04-01

    The Giant Gjallar Vent (GGV) is a hydrothermal vent complex that formed during the opening of the North Atlantic at about 55 Ma. Sill intrusions into Cretaceous organic-rich sediments led to the production and subsequent vigorous seafloor venting of methane. A later phase of fluid escape occurred in mid-Oligocene times. The GGV is characterised by two pipes of 440 m and 480 m in diameter that reach up to the Base Late Pliocene Unconformity (BLPU) between the Kai and Naust formations. The unconformity is strongly deformed over an area of c. 18,000 km² across the vent, with a positive relief of up to 38 m above the surrounding paleo-seafloor. The overlying sediments of the Naust Formation conformally drape this deformation, smoothing its relief to a maximum of 15 m at the modern seafloor. The sediment drape indicates present inactivity of the vent system, as does the absence of indicators of active fluid escape in the water column during RV METEOR cruise M87-2 in 2012. However, high-resolution 2D seismic and Parasound data from the same cruise, and exploration-type 3D seismic data acquired by Norsk Hydro, show several indications for recent to ongoing activity at the GGV. Beneath the BLPU, strong frequency attenuation and chaotic reflections indicate the presence of free gas. At the edges of the extent of chaotic reflections, subvertical faults cut the unconformity as well as horizons of the lower and middle Naust Formation, suggesting tectonic activity after deposition of these horizons. Neotectonic activity is further indicated by the extensive occurrence of shallow faults apparent in Parasound records in the immediate vicinity of the vent and up to 16 km away. Some of these faults reach the seafloor. The observed deformation and faults may be the result of fluids accumulating beneath the BLPU due to increased loading of the oozy Kai Formation by denser glacigenic Naust sediments. Because of the lower permeability of the Naust Formation, the unconformity acts as a

  19. Estimating indices of range shifts in birds using dynamic models when detection is imperfect

    Science.gov (United States)

    Clement, Matthew J.; Hines, James E.; Nichols, James D.; Pardieck, Keith L.; Ziolkowski, David J.

    2016-01-01

    There is intense interest in basic and applied ecology about the effect of global change on current and future species distributions. Projections based on widely used static modeling methods implicitly assume that species are in equilibrium with the environment and that detection during surveys is perfect. We used multiseason correlated detection occupancy models, which avoid these assumptions, to relate climate data to distributional shifts of Louisiana Waterthrush in the North American Breeding Bird Survey (BBS) data. We summarized these shifts with indices of range size and position and compared them to the same indices obtained using more basic modeling approaches. Detection rates during point counts in BBS surveys were low, and models that ignored imperfect detection severely underestimated the proportion of area occupied and slightly overestimated mean latitude. Static models indicated Louisiana Waterthrush distribution was most closely associated with moderate temperatures, while dynamic occupancy models indicated that initial occupancy was associated with diurnal temperature ranges and colonization of sites was associated with moderate precipitation. Overall, the proportion of area occupied and mean latitude changed little during the 1997–2013 study period. Near-term forecasts of species distribution generated by dynamic models were more similar to subsequently observed distributions than forecasts from static models. Occupancy models incorporating a finite mixture model on detection – a new extension to correlated detection occupancy models – were better supported and may reduce bias associated with detection heterogeneity. We argue that replacing phenomenological static models with more mechanistic dynamic models can improve projections of future species distributions. In turn, better projections can improve biodiversity forecasts, management decisions, and understanding of global change biology.

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

    OpenAIRE

    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.

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

    OpenAIRE

    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.

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

    Science.gov (United States)

    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…

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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…

  5. Modelling of Activated Sludge Wastewater Treatment

    Directory of Open Access Journals (Sweden)

    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

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

    Institute of Scientific and Technical Information of China (English)

    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.

  7. Aquatic vegetation indices assessment through radiative transfer modeling and linear mixture simulation

    Science.gov (United States)

    Villa, Paolo; Mousivand, Alijafar; Bresciani, Mariano

    2014-08-01

    Although spectral vegetation indices (VIs) have been widely used for remote sensing of vegetation in general, such indices have been traditionally targeted at terrestrial, more than aquatic, vegetation. This study introduces two new VIs specifically targeted at aquatic vegetation: NDAVI and WAVI and assesses their performance in capturing information about aquatic vegetation features by comparison with pre-existing indices: NDVI, SAVI and EVI. The assessment methodology is based on: (i) theoretical radiative transfer modeling of vegetation canopy-backgrounds coupling, and (ii) spectral linear mixture simulation based on real-case endmembers. Two study areas, Lake Garda and Lakes of Mantua, in Northern Italy, and a multisensor dataset have been exploited for our study. Our results demonstrate the advantages of the new indices. In particular, NDAVI and WAVI sensitivity scores to LAI and LIDF parameters were generally higher than pre-existing indices' ones. Radiative transfer modeling and real-case based linear mixture simulation showed a general positive, non-linear correlation of vegetation indices with increasing LAI and vegetation fractional cover (FC), more marked for NDVI and NDAVI. Moreover, NDAVI and WAVI show enhanced capabilities in separating terrestrial from aquatic vegetation response, compared to pre-existing indices, especially of NDVI. The new indices provide good performance in distinguishing aquatic from terrestrial vegetation: NDAVI over low density vegetation (LAI 1.0, FC > 50%). Specific vegetation indices can therefore improve remote sensing applications for aquatic vegetation monitoring.

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    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.

  10. Spectral bio-indicator simulations for tracking photosynthetic activities in a corn field

    Science.gov (United States)

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

    2011-09-01

    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 light environment; and 2) seasonal variation corresponding to the growth stage. The RT model (ACRM) successfully simulated the responses to the 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.

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

    Science.gov (United States)

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

    2014-06-01

    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 mountainous ecosystems, and there is a global evidence of increased fire activity with elevation. Whilst fire research has become popular in the tropical lowlands, much less is known of the tropical high Andean region (>2000 masl, from Colombia to Bolivia). This study examines fire trends in the high Andes for three ecosystems, the Puna, the Paramo and the Yungas, for the period 1982-2006. We pose three questions: (i) is there an increased fire response with elevation? (ii) does the El Niño- Southern Oscillation control fire activity in this region? (iii) are the observed fire trends human driven (e.g., human practices and their effects on fuel build-up) or climate driven? We did not find evidence of increased fire activity with elevation but, instead, a quasicyclic and synchronous fire response in Ecuador, Peru and Bolivia, suggesting the influence of high-frequency climate forcing on fire responses on a subcontinental scale, in the high Andes. ENSO variability did not show a significant relation to fire activity for these three countries, partly because ENSO variability did not significantly relate to precipitation extremes, although it strongly did to temperature extremes. Whilst ENSO did not individually lead the observed regional fire trends, our results suggest a climate influence on fire activity, mainly through a sawtooth pattern of precipitation (increased rainfall before fire-peak seasons (t-1) followed by drought spells and unusual low temperatures (t0), which is particularly common where fire is carried by low fuel loads (e.g., grasslands and fine fuel). This climatic sawtooth appeared as the main driver of fire trends, above local human influences and fuel build

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

    Directory of Open Access Journals (Sweden)

    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.

  13. Evaluation of the quality indices of landslide databases for their use in susceptibility models

    Science.gov (United States)

    Iadanza, C.; Trigila, A.; Spizzichino, D.

    2009-04-01

    by landslides and floods, SCAI - Study of Unstable Urban Areas, CARG - Geological Map of Italy scale 1:50,000 and PAI - River Basin Plans). In order to estimate the reliability and accuracy of the data, each landslide has been assigned a rating on the basis of the survey method used (e.g. aerial photo interpretation, field surveys, archive data, monitoring data) and the number of significant parameters compiled in the Landslide Data Sheet (e.g. landslide volume, activation date, investigations, remedial measures, triggering factors, bibliography, etc.). These quality indices have also allowed identification of particularly representative areas in terms of homogeneity and reliability of the IFFI Project data, which may be used as training and test areas for the implementation of quantitative landslide susceptibility models. Similarly, these analyses have allowed identification of critical areas in which the data collected in the inventory has been underestimated or is not very accurate, for which it will be necessary to integrate the data in the future.

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

    Science.gov (United States)

    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

  15. Plume indications from hydrothermal activity on Kawio Barat Submarine Volcano, Sangihe Talaud Sea, North Sulawesi, Indonesia

    Science.gov (United States)

    Makarim, S.; Baker, E. T.; Walker, S. L.; Wirasantosa, S.; Permana, H.; Sulistiyo, B.; Shank, T. M.; Holden, J. F.; Butterfield, D.; Ramdhan, M.; Adi, R.; Marzuki, M. I.

    2010-12-01

    Kawio Barat submarine volcano has formed in response to the active tectonic conditions in Sangihe Talaud, an area that lies in the subduction zone between the Molucca Sea Plate and Celebes Sea Plate. Submarine volcanic activity in the western Sangihe volcanic arc is controlled by the west-dipping Molucca Sea Plate as it subducts beneath the Sangihe Arc. A secondary faulting system on Kawio Barat is in a northwest - southeast direction, and creates a network of deep cracks that facilitate hydrothermal discharge in this area. Hydrothermal activity on Kawio Barat was first discovered by joint Indonesia/Australian cruises in 2003. In 2010, as part of the joint US/Indonesian INDEX-SATAL expedition, we conducted CTD casts that confirmed continuing activity. Hydrothermal plumes were detected by light -scattering (LSS) and oxidation-reduction potential (ORP) sensors on the CTD package. LSS anomalies were found between 1600-1900 m, with delta NTU levels of 0.020-0.040. ORP anomalies coincident with the LSS anomalies indicate strong concentrations of reduced species such as H2S and Fe, confirming the hydrothermal origin of the plumes. Images of hydrothermal vents on Kawio Barat Submarine volcano, recorded by high- definition underwater cameras on the ROV “Little Hercules” operated from the NOAA ship Okeanos Explorer, confirmed the presence and sources of the detected vent plumes in the northern and southwest part of the summit in 1800-1900 m depth. In southwest part of this summit chimney, drips of molten sulfur were observed in the proximity of microbal staining.

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

    OpenAIRE

    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...

  17. Seasonally dependent relationships between indicators of malaria transmission and disease provided by mathematical model simulations.

    Directory of Open Access Journals (Sweden)

    Erin M Stuckey

    2014-09-01

    Full Text Available 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 examine the relationships between malaria indicators allowing more easily measured data, such as routine health systems data on case incidence, to be translated into measures of transmission and other malaria indicators. Simulations of scenarios with different levels of malaria transmission, patterns of seasonality and access to treatment were run with an ensemble of models of malaria epidemiology and within-host dynamics, as part of the OpenMalaria modeling platform. For a given seasonality profile, regression analysis mapped simulation results of malaria indicators, such as annual average entomological inoculation rate, prevalence, incidence of uncomplicated and severe episodes, and mortality, to an expected range of values of any of the other indicators. Results were validated by comparing simulated relationships between indicators with previously published data on these same indicators as observed in malaria endemic areas. These results allow for direct comparisons of malaria transmission intensity estimates made using data collected with different methods on different indicators. They also address key concerns with traditional methods of quantifying transmission in areas of differing transmission intensity and sparse data. Although seasonality of transmission is often ignored in data compilations, the models suggest it can be critically important in determining the relationship between transmission and disease. Application of these models could help public

  18. Calling Models with Causal Indicators "Measurement Models" Implies More than They Can Deliver

    Science.gov (United States)

    Rhemtulla, Mijke; van Bork, Riet; Borsboom, Denny

    2015-01-01

    In this commentary, Mijke Rhemtulla, Riet van Bork, and Denny Borsboom write that they were delighted to see Bainter and Bollen's paper as a focus article in "Measurement." In their view, psychological researchers who use SEM rely too reflexively on reflective measurement, without sufficiently considering whether their indicators are…

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

    International Nuclear Information System (INIS)

    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

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

    Science.gov (United States)

    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

  1. Active Time Domain Reflectometry for Tamper Indication in Unattended Safeguards Systems

    Energy Technology Data Exchange (ETDEWEB)

    Sheen, David M.; Smith, Leon E.; Tedeschi, Jonathan R.; Moore, David E.; Gavric, Gordan; Conrad, Ryan C.

    2015-07-14

    The International Atomic Energy Agency (IAEA) continues to expand its use of unattended measurement systems. An increasing number of systems and an expanding family of instruments create challenges in terms of deployment efficiency and the implementation of data authentication measures. In collaboration with the IAEA, tamper-indicating measures to address data-transmission authentication challenges with unattended safeguards systems are under investigation. Pacific Northwest National Laboratory is studying the viability of active time-domain reflectometry (TDR) along two parallel but interconnected paths: (1) swept-frequency TDR as the highly flexible, laboratory gold standard to which field-deployable options can be compared, and (2) a low-cost commercially available spread-spectrum TDR technology as one option for field implementation. This paper describes the TDR methods under investigation and the associated benchtop test-bed, tampering scenarios of interest,, and viability measurement results to date (e.g., comparison of relative sensitivity to tamper scenarios).

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

    Directory of Open Access Journals (Sweden)

    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.

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

    OpenAIRE

    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-...

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

    Science.gov (United States)

    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

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

    CERN Document Server

    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...

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

    Science.gov (United States)

    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

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

    OpenAIRE

    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...

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

    Directory of Open Access Journals (Sweden)

    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.

  9. OSL dating of fluvial terraces for incision rate estimation and indication of neotectonic activity in Pamir

    Science.gov (United States)

    Fuchs, M. C.; Gloaguen, R.; Krbetschek, M.; Szulc, A.

    2012-04-01

    ThePamir owes its special attraction for geo-scientists to being among Earth's largest intra-continental orogens and to display some of the highest uplift rates as well as to host among the most powerful river systems on the planet. The evolution of the drainage network as a proxy for the landscape's response to tectonic signals provides a powerful tool to study neotectonics. The relation between tectonic forcing and surface response is indicated by structural anomalies (e.g. river-capture, river-reversal or -deflection) and spatial differences of process rates (e.g. incision rates). We combine OSL dating with remote sensing tectonic geomorphology in order to determine the zones of active deformation in the Quaternary. The local drainage system of the study region aligns mainly to the east-west-trending belts of shortening, which results from the ongoing northward propagation of the Indian plate. In contrast the major trunk river, the Panj, is unusual in that it deflects northwards and then doubles back to the southwest, cutting the southern and central Pamir doming and several other major Cenozoic deformation zones. We use fluvial terraces along the deflected north-south orientated part including the doubled back prolongation of the more or less normal orientated Panj. These sediment bodies are used as a geomorphic record to reveal changes in the balance between sediment flux and discharge. Dating these fluvial terraces by OSL provides the burial ages of the sediments indicating periods of sedimentation. The remains of those periods are far from equally distributed and mark the time of local conditions for sedimentation as especially the close neighbourhood of most of the terraces from the two youngest periods demonstrate. Precise measurements of the heights of the dated terraces with respect to the present river level based on relative kinematic GPS quantify the total vertical incision of the river subsequent to the sedimentation and abandonment. Incision rates

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

    Science.gov (United States)

    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

    Energy Technology Data Exchange (ETDEWEB)

    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

    Science.gov (United States)

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

    Science.gov (United States)

    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…

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

    International Nuclear Information System (INIS)

    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

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

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

    DEFF Research Database (Denmark)

    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...... of the 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...

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

    Science.gov (United States)

    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

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

    Energy Technology Data Exchange (ETDEWEB)

    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.)

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

    Directory of Open Access Journals (Sweden)

    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.

  1. A process-based mathematical model on methane production with emission indices for control.

    Science.gov (United States)

    Chakraborty, A; Bhattacharaya, D K

    2006-08-01

    In this paper, a process-based mathematical model is developed for the production of methane through biodegradation. It is a three-dimensional model given by ordinary differential equations. The results of the analysis of the model are interpreted through three emission indices, which are introduced for the first time. The estimation of either one or all of them can interpret the feasibility of the equilibrium and the long-term emission tendency of methane. The vulnerability of the methane production process with respect to soil temperature effects in methanogenic phase has been discussed and a feasible condition within a specified temperature range has defined for the nonvulnerability of the methane production process and also it has shown that under the same condition, zero-emission process of methane will be nonvulnerable with respect to the soil temperature effects in methanogenic phase. Lastly, condition for zero emission of methane is also obtained and it is interpreted through the emission indices.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    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.

  5. MODELING OF WORLD'S SYSTEMICALLY IMPORTANT ECONOMIES IMPACT ON THE DYNAMICS OF MACROECONOMIC INDICATORS IN UKRAINE

    Directory of Open Access Journals (Sweden)

    O. Bazhenova

    2015-03-01

    Full Text Available This paper develops the vector autoregression model of the Ukraine’s economy for exploring the dynamics of key indicators of the domestic economy in response to the shocks from systemically important economies. The foreign variables in the model are growth rates of real GDP, consumer price indices in the advanced economies and in countries of emerging and developing Asia and oil price. The results suggest that the shocks from the “large” economies are absorbed by the domestic economy for a long time. A significant part of the variability of real GDP growth index in Ukraine is due to external factors. Inflation in advanced countries has the most significant influence on this variability (among other external shocks that confirms inflation import from these economies. At the same time the price of oil does not significantly contribute to the explanation of the mentioned variability. Given the euro area share increase in foreign trade and China’s impact on metal market conditions this paper also explores the influence of these economies’ indicators (notably production indices and consumer price indices on Ukraine’s economy.

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

    Energy Technology Data Exchange (ETDEWEB)

    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.

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

    CERN Document Server

    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...

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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…

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

    Science.gov (United States)

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

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

    OpenAIRE

    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...

  13. Detecting Location Shifts during Model Selection by Step-Indicator Saturation

    Directory of Open Access Journals (Sweden)

    Jennifer L. Castle

    2015-04-01

    Full Text Available To capture location shifts in the context of model selection, we propose selecting significant step indicators from a saturating set added to the union of all of the candidate variables. The null retention frequency and approximate non-centrality of a selection test are derived using a ‘split-half’ analysis, the simplest specialization of a multiple-path block-search algorithm. Monte Carlo simulations, extended to sequential reduction, confirm the accuracy of nominal significance levels under the null and show retentions when location shifts occur, improving the non-null retention frequency compared to the corresponding impulse-indicator saturation (IIS-based method and the lasso.

  14. Exact formulas for the variance of several balance indices under the Yule model.

    Science.gov (United States)

    Cardona, Gabriel; Mir, Arnau; Rosselló, Francesc

    2013-12-01

    One of the main applications of balance indices is in tests of nullmodels of evolutionary processes. The knowledge of an exact formula for a statistic of a balance index, holding for any number n of leaves, is necessary in order to use this statistic in tests of this kind involving trees of any size. In this paper we obtain exact formulas for the variance under the Yule model of the Sackin, the Colless and the total cophenetic indices of binary rooted phylogenetic trees with n leaves.

  15. Modelling and Predicting the Fiscal Pressure Indicator in the European Union

    OpenAIRE

    Mihaela Simionescu; Mirela Niculae

    2015-01-01

    The main goal of this research is to model and predict the fiscal pressure indicator and the real GDP rate in the European Union during 1996-2013 using the vectorial autoregressive approach. According to Granger test for causality, only the real GDP rate is a cause of the weight tax in GDP, the relationship not being reciprocal. The fiscal pressure volatility is due mainly to the evolution of this indicator, but the influence decreases in time, not descending under 82%. More than 41% of th...

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

    Directory of Open Access Journals (Sweden)

    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.

  17. Modeling of active beam units with Modelica

    DEFF Research Database (Denmark)

    Maccarini, Alessandro; Hultmark, Göran; Vorre, Anders;

    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....... Measurements from a full-scale experiment are used to compare the thermal behavior of the active beam with the one predicted by simulations. The simulation results show that the model corresponds closely with the actual operation. The model predicts the outlet water temperature of the active beam...... with a maximum mean absolute error of 0.18 °C. In term of maximum mean absolute percentage error, simulation results differ by 0.9%. The methodology presented is general enough to be applied for modeling other active beam units. Modeling of active beam units with Modelica. Available from: https...

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

    Directory of Open Access Journals (Sweden)

    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

  19. Global Patterns in Ecological Indicators of Marine Food Webs: A Modelling Approach

    Science.gov (United States)

    Heymans, Johanna Jacomina; Coll, Marta; Libralato, Simone; Morissette, Lyne; Christensen, Villy

    2014-01-01

    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 seagrass and macroalgae

  20. Daily House Price Indices: Construction, Modeling, and Longer-Run Predictions

    DEFF Research Database (Denmark)

    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 house...... price indices. Our new daily house price indices exhibit dynamic features similar to those of other daily asset prices, with mild autocorrelation and strong conditional heteroskedasticity of the corresponding daily returns. A relatively simple multivariate time series model for the daily house price...... index returns, explicitly allowing for commonalities across cities and GARCH effects, produces forecasts of monthly house price changes that are superior to various alternative forecast procedures based on lower frequency data....

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

    Science.gov (United States)

    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.

  2. Modelling and Predicting the Fiscal Pressure Indicator in the European Union

    Directory of Open Access Journals (Sweden)

    Mihaela Simionescu

    2015-03-01

    Full Text Available The main goal of this research is to model and predict the fiscal pressure indicator and the real GDP rate in the European Union during 1996-2013 using the vectorial autoregressive approach. According to Granger test for causality, only the real GDP rate is a cause of the weight tax in GDP, the relationship not being reciprocal. The fiscal pressure volatility is due mainly to the evolution of this indicator, but the influence decreases in time, not descending under 82%. More than 41% of the variation in real growth is explained by the fiscal pressure volatility starting with the 6th lag. The static and deterministic simulation generated the best predictions of the fiscal pressure indicator on the horizon 2011-2013.

  3. Correlation of basic oil quality indices and electrical properties of model vegetable oil systems.

    Science.gov (United States)

    Prevc, Tjaša; Cigić, Blaž; Vidrih, Rajko; Poklar Ulrih, Nataša; Šegatin, Nataša

    2013-11-27

    Model vegetable oil mixtures with significantly different basic oil quality indices (free fatty acid, iodine, and Totox values) were prepared by adding oleic acids, synthetic saturated triglycerides, or oxidized safflower oil ( Carthamus tinctorius ) to the oleic type of sunflower oil. Dielectric constants, dielectric loss factors, quality factors, and electrical conductivities of model lipids were determined at frequencies from 50 Hz to 2 MHz and at temperatures from 293.15 to 323.15 K. The dependence of these dielectric parameters on basic oil quality indices was investigated. Adding oleic acids to sunflower oil resulted in lower dielectric constants and conductivities and higher quality factors. Reduced iodine values resulted in increased dielectric constants and quality factors and decreased conductivities. Higher Totox values resulted in higher dielectric constants and conductivities at high frequencies and lower quality factors. Dielectric constants decreased linearly with temperature, whereas conductivities followed the Arrhenius law.

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

    Directory of Open Access Journals (Sweden)

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

    OpenAIRE

    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...

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

    OpenAIRE

    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...

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

    OpenAIRE

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

    International Nuclear Information System (INIS)

    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

  9. Evaluation of flurbiprofen urinary ratios as in vivo indices for CYP2C9 activity

    Science.gov (United States)

    Zgheib, N K; Frye, R F; Tracy, T S; Romkes, M; Branch, R A

    2007-01-01

    Aims We investigated flurbiprofen pharmacokinetics in 12 volunteers to develop a phenotypic trait measure that correlates with the fractional clearance to 4′-hydroxyflurbiprofen. The effect of the CYP2C9 inhibitor fluconazole on flurbiprofen metabolism was also evaluated. Methods Flurbiprofen pharmacokinetics were evaluated before and after the first and seventh doses of fluconazole. The urinary recovery ratio was calculated as FLRR = 4′-OHF/ [4′-OHF + Ftot] and the urinary metabolic ratio was calculated as FLMR = 4′-OHF/Ftot, where 4′-OHF and Ftot represent total (conjugated and unconjugated) amounts recovered in urine. Results There was a statistically significant relationship between the 4′-OHF formation clearance (4OHCLf) and both the 8-h FLRR and the 8-h FLMR with and without administration of fluconazole. The flurbiprofen apparent oral clearance (CL/F) was decreased by 53% [90% confidence interval (CI) −58, −48] and 64% (90% CI −69, −59), respectively, after administration of one and seven doses of fluconazole when compared with administration of flurbiprofen alone; similarly, the 4OHCLf decreased by 69% (90% CI −74, −64) and 78% (90% CI −83, −73), the 8-h FLRR decreased by 35% (90% CI −41, −29) and 40% (90% CI −46, −35) and the 8-h FLMR decreased by 61% (90% CI −65, −58) and 67% (90% CI −70, −63). The magnitude of decrease in CL/F and 4OHCLf was greater after seven doses compared with after one dose of fluconazole (P < 0.005). Conclusions This study provides strong evidence that both the 8-h FLRR and the 8-h FLMR are suitable phenotypic indices for CYP2C9 activity. PMID:17054666

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

    Institute of Scientific and Technical Information of China (English)

    Cong Huang; Dan-Dan Liu; Jing-Song Wang

    2009-01-01

    The 10.7cm solar radio flux (F10.7), the value of the solar radio emission flux density at a wavelength of 10.7cm, 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.

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

    CERN Document Server

    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$_...

  12. Modeling Students' Units Coordinating Activity

    OpenAIRE

    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 ...

  13. Modeling Workflow Using UML Activity Diagram

    Institute of Scientific and Technical Information of China (English)

    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.

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

    OpenAIRE

    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 ...

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

    OpenAIRE

    Poppenhaeger, K.; Wolk, S. J.

    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 activ...

  16. Using electrotopological state indices to model the depuration rates of polychlorinated biphenyls in mussels of Elliptio complanata

    Institute of Scientific and Technical Information of China (English)

    Lei Wang; Xinhui Liu; Zhengjun Shan; Lili Shi

    2010-01-01

    A quantitative structure-activity relationship (QSAR) model on deputation rate constants (kd) of polychiorinated biphenyls (PCBs) in freshwater mussel Elliptio complanata was successfully constructed using electrotopological state indices (ESI) and partial least squares (PLS) regression.The cross validated Q2cum and the correlation coefficient R for the model were determined to be 0.845 and 0.954,respectively.The satisfactory Q2cum and R values indicated significantly high robustness and good predictive ability for the model.The model was tested and found acceptable for the prediction of logkd (the logarithm of the depuration rate constants) by validation set.According to the model,an increase in the values of SaasC,S5',S4,S5 and S4' led to increased logkd,and a decrease in the values of No,S2' and S6 also resulted in increased logkd.Among these descriptors,No,SaasC,S5',S4 and S5 made significant contributions to the value of logkd.These significant descriptors showed that the deputation of PCBs in Elliptio complanata may be mainly attributed to an equilibrium partitioning process among compartments with different lipid contents,while the reactivity of PCBs with enzymes or other molecules may play a subordinate role.

  17. Computational Models for Analysis of Illicit Activities

    DEFF Research Database (Denmark)

    Nizamani, Sarwat

    Numerous illicit activities happen in our society, which, from time to time affect the population by harming individuals directly or indirectly. Researchers from different disciplines have contributed to developing strategies to analyze such activities, in order to help law enforcement agents dev...... population globally sensitive to specific world issues. The models discuss the dynamics of population in response to such issues. All the models presented in the thesis can be combined for a systematic analysis of illicit activities.......Numerous illicit activities happen in our society, which, from time to time affect the population by harming individuals directly or indirectly. Researchers from different disciplines have contributed to developing strategies to analyze such activities, in order to help law enforcement agents...... 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...

  18. Soil microbial activities in Mediterranean environment as desertification indicators along a pluviometric gradient.

    Science.gov (United States)

    Novosadova, I.; Zahora, J.; Ruiz Sinoga, J. D.

    2009-04-01

    In the Mediterranean areas of Southern Spain, unsuitable agricultural practices with adverse environmental conditions (López Bermúdez and Albaladejo, 1990), have led to a permanent degradation and loss of soil fertility. This includes deterioration of the natural plant cover, which protects against erosion by contributing organic matter, the main prerequisite of ecosystem sustainability (Grace et al., 1994). Physico-chemical, microbiological and biochemical soil properties are very responsive and provide immediate and precise information on small changes occurring in soil (Dick and Tabatabai, 1993). There is increasing evidence that such parameters are also sensitive indicators of ecology stress suffered by a soil and its recovery, since microbial activity has a direct influence on the stability and fertility of ecosystems (Smith and Papendick, 1993). One method for recovering degraded soils of such semiarid regions, with their low organic matter content, is to enhance primary productivity and carbon sequestration without any additional nitrogen fertilization and preferably without incorporation of leguminous plants (Martinez Mena et al., 2008). Carbon rich materials can sustain microbial activity and growth, thus enhancing biogeochemical nutrient cycles (Pascual et al., 1997). The present study is focused in the role of physico-chemical and microbial soil properties in Mediterranean environment, in terms of in situ and ex situ microbial transformation of soil carbon and nitrogen, in order to characterise the key soil microbial activities which could strongly affect carbon and nitrogen turnover in soil and hereby soil fertility and soil organic matter "quality". These microbial activities could at unsuitable agricultural practices with adverse environmental conditions induce unfavourable hydrologycal tempo-spatial response. The final results shown modifications in the soil properties studied with the increasing of the aridity. Such changes suppose the soil

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    Brooks, Wesley R.; Fienen, Michael N.; 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.

  2. Dynamical complexity in geomagnetic activity indices: revelations from nonextensive Tsallis statistics, entropies, wavelets and universality concepts

    Science.gov (United States)

    Balasis, G.

    2012-04-01

    Dynamical complexity detection for output time series of complex systems is one of the foremost problems in physics, biology, engineering, and economic sciences. Especially in geomagnetism and magnetospheric physics, accurate detection of the dissimilarity between normal and abnormal states (e.g. pre-storm activity and magnetic storms) can vastly improve geomagnetic field modelling as well as space weather forecasting, respectively. Nonextensive statistical mechanics through Tsallis entropy provides a solid theoretical basis for describing and analyzing complex systems out of equilibrium, particularly systems exhibiting long-range correlations or fractal properties. Entropy measures (e.g., Tsallis entropy, Shannon entropy, block entropy, Kolmogorov entropy, T-complexity, and approximate entropy) have been proven effectively applicable for the investigation of dynamical complexity in Dst time series. It has been demonstrated that as a magnetic storm approaches, there is clear evidence of significantly lower complexity in the magnetosphere. The observed higher degree of organization of the system agrees with results previously inferred from fractal analysis via estimates of the Hurst exponent based on wavelet transform. This convergence between entropies and linear analyses provides a more reliable detection of the transition from the quiet time to the storm time magnetosphere, thus showing evidence that the occurrence of an intense magnetic storm is imminent. Moreover, based on the general behavior of complex system dynamics it has been recently found that Dst time series exhibit discrete scale invariance which in turn leads to log-periodic corrections to scaling that decorate the pure power law. The latter can be used for the determination of the time of occurrence of an approaching magnetic storm.

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

    Directory of Open Access Journals (Sweden)

    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 tests

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    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

  6. Discursive Positionings and Emotions in Modelling Activities

    Science.gov (United States)

    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…

  7. [Simulation of vegetation indices optimizing under retrieval of vegetation biochemical parameters based on PROSPECT + SAIL model].

    Science.gov (United States)

    Wu, Ling; Liu, Xiang-Nan; Zhou, Bo-Tian; Liu, Chuan-Hao; Li, Lu-Feng

    2012-12-01

    This study analyzed the sensitivities of three vegetation biochemical parameters [chlorophyll content (Cab), leaf water content (Cw), and leaf area index (LAI)] to the changes of canopy reflectance, with the effects of each parameter on the wavelength regions of canopy reflectance considered, and selected three vegetation indices as the optimization comparison targets of cost function. Then, the Cab, Cw, and LAI were estimated, based on the particle swarm optimization algorithm and PROSPECT + SAIL model. The results showed that retrieval efficiency with vegetation indices as the optimization comparison targets of cost function was better than that with all spectral reflectance. The correlation coefficients (R2) between the measured and estimated values of Cab, Cw, and LAI were 90.8%, 95.7%, and 99.7%, and the root mean square errors of Cab, Cw, and LAI were 4.73 microg x cm(-2), 0.001 g x cm(-2), and 0.08, respectively. It was suggested that to adopt vegetation indices as the optimization comparison targets of cost function could effectively improve the efficiency and precision of the retrieval of biochemical parameters based on PROSPECT + SAIL model.

  8. Students’ mathematical learning in modelling activities

    DEFF Research Database (Denmark)

    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....

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

    OpenAIRE

    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...

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    Coertjens, Liesje; Donche, Vincent; De Maeyer, Sven; Vanthournout, Gert; Van Petegem, Peter

    2013-01-01

    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.

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

    Science.gov (United States)

    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

  13. Evaluating a Model of Youth Physical Activity

    Science.gov (United States)

    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…

  14. Modelling Typical Online Language Learning Activity

    Science.gov (United States)

    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…

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

    Institute of Scientific and Technical Information of China (English)

    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.

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  19. Plasma rennin activity: Early indicator of renal injury in bilateral pelviureteric junction obstruction in children

    Directory of Open Access Journals (Sweden)

    Amit Singh

    2014-01-01

    Conclusion: In bilateral PUJO where DRF and SFU grading of hydronephrosis did not correctly reflect renal injury, PRA showed a significant relationship with renal histopathologic grade and could be an early indicator of renal injury in bilateral PUJO.

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

    Data.gov (United States)

    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...

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

    Directory of Open Access Journals (Sweden)

    Vilhar U

    2016-08-01

    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

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

    OpenAIRE

    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...

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

    CERN Document Server

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

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

    OpenAIRE

    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...

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

    Directory of Open Access Journals (Sweden)

    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. The activity model of legal psychologist

    OpenAIRE

    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...

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

    Directory of Open Access Journals (Sweden)

    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.

  9. Modelling activity transport behavior in PWR plant

    International Nuclear Information System (INIS)

    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)

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

    Directory of Open Access Journals (Sweden)

    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.

  11. Oxygen and indicators of stress for marine life in multi-model global warming projections

    Science.gov (United States)

    Cocco, V.; Joos, F.; Steinacher, M.; Frölicher, T. L.; Bopp, L.; Dunne, J.; Gehlen, M.; Heinze, C.; Orr, J.; Oschlies, A.; Schneider, B.; Segschneider, J.; Tjiputra, J.

    2013-03-01

    Decadal-to-century scale trends for a range of marine environmental variables in the upper mesopelagic layer (UML, 100-600 m) are investigated using results from seven Earth System Models forced by a high greenhouse gas emission scenario. The models as a class represent the observation-based distribution of oxygen (O2) and carbon dioxide (CO2), albeit major mismatches between observation-based and simulated values remain for individual models. By year 2100 all models project an increase in SST between 2 °C and 3 °C, and a decrease in the pH and in the saturation state of water with respect to calcium carbonate minerals in the UML. A decrease in the total ocean inventory of dissolved oxygen by 2% to 4% is projected by the range of models. Projected O2 changes in the UML show a complex pattern with both increasing and decreasing trends reflecting the subtle balance of different competing factors such as circulation, production, remineralization, and temperature changes. Projected changes in the total volume of hypoxic and suboxic waters remain relatively small in all models. A widespread increase of CO2 in the UML is projected. The median of the CO2 distribution between 100 and 600m shifts from 0.1-0.2 mol m-3 in year 1990 to 0.2-0.4 mol m-3 in year 2100, primarily as a result of the invasion of anthropogenic carbon from the atmosphere. The co-occurrence of changes in a range of environmental variables indicates the need to further investigate their synergistic impacts on marine ecosystems and Earth System feedbacks.

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

    Directory of Open Access Journals (Sweden)

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

    CERN Document Server

    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 ...

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    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

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

    Directory of Open Access Journals (Sweden)

    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

  18. Activity transport models for PWR primary circuits

    International Nuclear Information System (INIS)

    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.)

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    Ellen Kenchington

    Full Text Available 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

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

    Institute of Scientific and Technical Information of China (English)

    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.

  2. Monitoring the performances of a real scale municipal solid waste composting and a biodrying facility using respiration activity indices.

    Science.gov (United States)

    Evangelou, Alexandros; Gerassimidou, Spyridoula; Mavrakis, Nikitas; Komilis, Dimitrios

    2016-05-01

    Objective of the work was to monitor two full-scale commingled municipal solid waste (MSW) mechanical and biological pretreatment (MBT) facilities in Greece, namely a biodrying and a composting facility. Monitoring data from a 1.5-year sampling period is presented, whilst microbial respiration indices were used to monitor the decomposition process and the stability status of the wastes in both facilities during the process. Results showed that in the composting facility, the organic matter reduced by 35 % after 8 weeks of combined composting/curing. Material exiting the biocells had a moisture content of less than 30 % (wb) indicating a moisture limitation during the active composting process. The static respiration indexes indicated that some stabilization occurred during the process, but the final material could not be characterized as stable compost. In the biodrying facility, the initial and final moisture contents were 50 % and less than 20 % wb, respectively, and the biodrying index was equal to 4.1 indicating effective biodrying. Lower heating values at the inlet and outlet were approximately 5.5 and 10 MJ/wet kg, respectively. The organic matter was reduced by 20 % during the process and specifically from a range of 63-77 % dw (inlet) to a range of 61-70 % dw. A significant respiration activity reduction was observed for some of the biodrying samples. A statistically significant correlation among all three respiration activity indices was recorded, with the two oxygen related activity indices (CRI7 and SRI24) observing the highest correlation.

  3. Monitoring the performances of a real scale municipal solid waste composting and a biodrying facility using respiration activity indices.

    Science.gov (United States)

    Evangelou, Alexandros; Gerassimidou, Spyridoula; Mavrakis, Nikitas; Komilis, Dimitrios

    2016-05-01

    Objective of the work was to monitor two full-scale commingled municipal solid waste (MSW) mechanical and biological pretreatment (MBT) facilities in Greece, namely a biodrying and a composting facility. Monitoring data from a 1.5-year sampling period is presented, whilst microbial respiration indices were used to monitor the decomposition process and the stability status of the wastes in both facilities during the process. Results showed that in the composting facility, the organic matter reduced by 35 % after 8 weeks of combined composting/curing. Material exiting the biocells had a moisture content of less than 30 % (wb) indicating a moisture limitation during the active composting process. The static respiration indexes indicated that some stabilization occurred during the process, but the final material could not be characterized as stable compost. In the biodrying facility, the initial and final moisture contents were 50 % and less than 20 % wb, respectively, and the biodrying index was equal to 4.1 indicating effective biodrying. Lower heating values at the inlet and outlet were approximately 5.5 and 10 MJ/wet kg, respectively. The organic matter was reduced by 20 % during the process and specifically from a range of 63-77 % dw (inlet) to a range of 61-70 % dw. A significant respiration activity reduction was observed for some of the biodrying samples. A statistically significant correlation among all three respiration activity indices was recorded, with the two oxygen related activity indices (CRI7 and SRI24) observing the highest correlation. PMID:27098520

  4. Discursive positionings and emotions in modelling activities

    Science.gov (United States)

    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.

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

    OpenAIRE

    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...

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

    OpenAIRE

    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. Combined drug and surgery treatment of plutonium-contaminated wounds: indications obtained using a rodent model.

    Science.gov (United States)

    Griffiths, Nina M; Coudert, Sylvie; Wilk, Jean Claude; Renault, Daniel; Angulo, Jaime F; Van der Meeren, Anne

    2014-06-01

    There is an important requirement following accidental actinide contamination of wounds to limit the dissemination and retention of such alpha-emitting radionuclides. To reduce wound and systemic contamination, treatment approaches include chelation therapy with or without wound excision. However, it has been hypothesized that wound excision could lead to increased contaminant release and systemic organ retention. This study in the rat addresses this question. Anesthetized rats were contaminated with plutonium nitrate following wounding by deep incision of hind leg muscle. Excision of tissue at the contaminated site was performed 7 d later with or without Diethylene Triamine Pentaacetic Acid (DTPA) treatment (30 μmol kg⁻¹ i.v.). Pu urinary excretion was then measured for a further 3 d, and animals were euthanized at 14 d after contamination. Tissue samples were evaluated for Pu activity and histology. At 7 d after contamination, around 50% of the initial activity remained at the wound site. An average of 16% of this activity was then removed by surgery. Surgery alone resulted in increased urinary excretion, suggesting release from the wound site, but no subsequent increases in organ retention (bone, liver) were observed at 14 d. Indeed, organ Pu activity was slightly reduced. The combination of surgery and DTPA or DTPA treatment alone was much more effective than excision alone as shown by the markedly increased urinary Pu excretion and decreased tissue levels. This is the first report in an experimental rodent model of resection of Pu-contaminated wound. Urinary excretion data provide evidence for the release of activity as a result of surgery, but this does not appear to lead to further Pu organ retention. However, a combination of prior DTPA treatment with wound excision is particularly effective.

  8. Recent trends of extreme precipitation indices in the Iberian Peninsula using observations and WRF model results

    Science.gov (United States)

    Bartolomeu, S.; Carvalho, M. J.; Marta-Almeida, M.; Melo-Gonçalves, P.; Rocha, A.

    2016-08-01

    Spatial and temporal distributions of the trends of extreme precipitation indices were analysed between 1986 and 2005, over the Iberian Peninsula (IP). The knowledge of the patterns of extreme precipitation is important for impacts assessment, development of adaptation and mitigation strategies. As such, there is a growing need for a more detailed knowledge of precipitation climate change. This analysis was performed for Portuguese and Spanish observational datasets and results performed by the Weather Research and Forecast (WRF) model forced by the ERA-Interim reanalysis. Extreme precipitation indices recommended by the Expert Team for Climate Change Detection Monitoring and Indices were computed, by year and season. Then, annual and seasonal trends of the indices were estimated by Theil-Sen method and their significance was tested by the Mann-Kendal test. Additionally, a second simulation forced by the Max Planck Institute Earth System Model (MPI-ESM), was considered. This second modelling configuration was created in order to assess its performance when simulating extremes of precipitation. The annual trends estimated for the 1986-2005, from the observational datasets and from the ERA-driven simulation reveal: 1) negative statistically significant trends of the CWD index in the Galicia and in the centre of the IP; 2) positive statistically significant trends of the CDD index over the south of the IP and negative statistically significant trends in Galicia, north and centre of Portugal; 3) positive statistically significant trends of the R75p index in some regions of the north of the IP; 4) positive statistically significant trends in the R95pTOT index in the Central Mountains Chain, Leon Mountains and in the north of Portugal. Seasonally, negative statistically significant trends of the CWD index were found in Galicia, in winter and in the south of the IP, in summer. Positive statistically significant trends of the CWD index were identified in the Leon Mountains

  9. The Decision Support in Electricity Generation: A Model of Integrated Parameters and Indicators

    Directory of Open Access Journals (Sweden)

    Renata Maria Abrantes Baracho

    2015-04-01

    Full Text Available This paper presents the construction of a model to support corporate managers in the energy sector. It is expected that the identification and measurement of parameters involved in decision making in this sector can assist managers in new projects of power generation. Knowledge management and strategic planning originate the resources necessary for correct alignment with the goals and expectations of organizations. It is thus possible to define different scenarios to be presented to managers. Through interviews with consultants and experts in the energy sector it was possible to define and validate a set of indicators which will be used in the proposed model. Hence a questionnaire to a representative sample of managers and others involved in the decision making processes of companies in the electricity power sector is filled in. In addition, contributions from researchers from Information Science, Electrical Engineering and Administration are of prime importance as well and are carried out in this work. The management model proposed is part of an ongoing research on strategic planning and on decision-making to enterprises of power generation from renewable sources1.

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

    OpenAIRE

    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...

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

    International Nuclear Information System (INIS)

    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)

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    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.

  15. Activity-based resource capability modeling

    Institute of Scientific and Technical Information of China (English)

    CHENG Shao-wu; XU Xiao-fei; WANG Gang; SUN Xue-dong

    2008-01-01

    To analyse and optimize a enterprise process in a wide scope, an activity-based method of modeling resource capabilities is presented. It models resource capabilities by means of the same structure as an activity, that is, resource capabilities are defined by input objects, actions and output objects. A set of activity-based re-source capability modeling rules and matching rules between an activity and a resource are introduced. This method can not only be used to describe capability of manufacturing tools, but also capability of persons and applications, etc. It unifies methods of modeling capability of all kinds of resources in an enterprise and supports the optimization of the resource allocation of a process.

  16. Influence of the program of physical training of highly skilled hockey players (forwards on indicators of the competitive activity

    Directory of Open Access Journals (Sweden)

    Volodymyr Goncharenko

    2015-02-01

    Full Text Available Purpose: to define the efficiency of the program of physical training of highly skilled sportswomen on indicators of the competitive activity in field hockey that was offered in the first pre-season of an annual macrocycle. Material and Methods: influence of the offered program was decided with the help of testing of motive qualities and technical elements of female hockey players. Results: correlation between indicators of the competitive activity of players of attack and the level of physical preparation was found out. Conclusions: positive influence of introduction of the program on physical preparation for highly skilled female hockey players, namely – forwards, on indicators of their competitive activity is revealed.

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

    Directory of Open Access Journals (Sweden)

    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.

  18. Solar Indices

    Data.gov (United States)

    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...

  19. 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

    Science.gov (United States)

    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...

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

    Science.gov (United States)

    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.

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

    OpenAIRE

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

    International Nuclear Information System (INIS)

    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

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

    OpenAIRE

    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. Plasma viremia as a sensitive indicator of the antiretroviral activity of L-697,661.

    Science.gov (United States)

    Davey, R T; Dewar, R L; Reed, G F; Vasudevachari, M B; Polis, M A; Kovacs, J A; Falloon, J; Walker, R E; Masur, H; Haneiwich, S E

    1993-01-01

    L-697,661 is a non-nucleoside analogue with potent, selective inhibitory activity against the reverse transcriptase of human immunodeficiency virus type 1 (HIV-1). The present study evaluated the potential role of this compound in the treatment of HIV-1-infected patients in a double-blinded, placebo- and zidovudine-controlled trial using plasma viremia as a marker of antiviral activity and real-time phenotypic evaluation of viral isolates for the emergence of resistance. Participants received 12 weeks of either placebo, 25 mg twice a day, 100 mg three times a day, or 500 mg twice a day of L-697,661, or zidovudine, 100 mg five times a day. Mean logarithmic reciprocal titers of plasma virus in patients taking either L-697,661 or zidovudine decreased by week 4 of therapy; for L-697,661 recipients these changes were dose-dependent and, at the highest dose tested, were comparable in magnitude to those seen with zidovudine. Viral suppression induced by L-697,661 persisted through 8 weeks of treatment but decreased by week 12. This rebound paralleled emergence of viral isolates showing resistance to L-697,661. We conclude that although L-697,661 has potent antiretroviral activity in vivo, its utility may be compromised by rapid emergence of L-697,661-resistant virus. Plasma viremia is a highly sensitive technique affording considerable utility in the early testing of such agents. PMID:8516307

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

    Science.gov (United States)

    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

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

    Energy Technology Data Exchange (ETDEWEB)

    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)

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    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.

  9. County-scale spatial distribution of soil enzyme activities and enzyme activity indices in agricultural land: implications for soil quality assessment.

    Science.gov (United States)

    Tan, Xiangping; 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 km(2)) 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

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

    DEFF Research Database (Denmark)

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

    2015-01-01

    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...... 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...... 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...

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

    Science.gov (United States)

    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

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

    Energy Technology Data Exchange (ETDEWEB)

    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

  13. Learning models of activities involving interacting objects

    DEFF Research Database (Denmark)

    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 t...

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

    Energy Technology Data Exchange (ETDEWEB)

    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.

  15. Modelling the Active Hearing Process in Mosquitoes

    Science.gov (United States)

    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.

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

    Energy Technology Data Exchange (ETDEWEB)

    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.

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

    Energy Technology Data Exchange (ETDEWEB)

    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.

  18. INDICATORS THAT CAN BE USED TO MEASURE PERFORMANCE IN THE INTERNAL AUDITING ACTIVITIES

    Directory of Open Access Journals (Sweden)

    Florin BOGHEAN

    2016-07-01

    Full Text Available Internal auditing has evolved from an approach based essentially on accounting aspects to a profession oriented towards management of entities and essentially destined for them. Modern internal auditing provides services that incorporate the examination and appreciation of regulations, performances, risk management and governance of all kind of property types – public or private bodies. The financial aspects represent just a part of the internal auditing view. In this paper, we will try to submit a series of indicators that can be used to measure the added value generated in an entity. Internal auditors provide to managers the information they need in order to download their responsibilities. Internal auditors are vitally involved in aspects that address to the risks and governance of the organization.

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

    International Nuclear Information System (INIS)

    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.)

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

    OpenAIRE

    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...

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

    Science.gov (United States)

    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

  2. QSAR MODELING OF ANTIBACTERIAL ACTIVITY OF SOME BENZIMIDAZOLE DERIVATIVES

    Directory of Open Access Journals (Sweden)

    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.

  3. Composite Disease Activity and Responder Indices for Psoriatic Arthritis: A Report from the GRAPPA 2013 Meeting on Development of Cutoffs for Both Disease Activity States and Response

    NARCIS (Netherlands)

    Helliwell, P.S.; Fitzgerald, O.; Fransen, J.

    2014-01-01

    OBJECTIVE: There are several new composite indices for assessing disease activity in psoriatic arthritis (PsA). Each may function as a disease state variable and a responder index. The aim of our study was to determine cutoffs for disease activity and response. METHODS: Data from the Group for GRAPP

  4. Active Gel Model of Amoeboid Cell Motility

    CERN Document Server

    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.

  5. Modeling of Activated Sludge Floc Characteristics

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    Smith, D. Barton; Muhs, Jeffrey D.; Pickett, Chris A.; Earl, D. Duncan

    1999-01-01

    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.

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

    International Nuclear Information System (INIS)

    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

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

    Directory of Open Access Journals (Sweden)

    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.

  9. Excessive supraventricular ectopic activity is indicative of paroxysmal atrial fibrillation in patients with cerebral ischemia.

    Directory of Open Access Journals (Sweden)

    Mark Weber-Krüger

    Full Text Available BACKGROUND: Detecting paroxysmal atrial fibrillation (PAF in patients with cerebral ischemia is challenging. Frequent premature atrial complexes (PAC/h and the longest supraventricular run on 24-h-Holter (SV-run(24 h, summarised as excessive supraventricular ectopic activity (ESVEA, may help selecting patients for extended ECG-monitoring, especially in combination with echocardiographic marker LAVI/a' (left atrial volume index/late diastolic tissue Doppler velocity. METHODS: Retrospective analysis from the prospective monocentric observational trial Find-AF (ISRCTN-46104198. Patients with acute stroke or TIA were enrolled at the University Hospital Göttingen, Germany. Those with sinus rhythm at presentation received 7-day Holter-monitoring. ESVEA was quantified in one 24-hour interval free from PAF. Echocardiographic parameters were assessed prospectively. RESULTS: PAF was detected in 23/208 patients (11.1%. The median was 4 [IQR 1; 22] for PAC/h and 5 [IQR 0; 9] for SV-run(24 h. PAF was more prevalent in patients with ESVEA: 19.6% vs. 2.8% for PAC/h >4 vs. ≤ 4 (p5 vs. ≤ 5 beats (p = 0.003. Patients with PAF showed more supraventricular ectopic activity: 29 PAC/h [IQR 9; 143] vs. 4 PAC/h [1]; [14] and longest SV-run(24 h = 10 [5]; [21] vs. 0 [0; 8] beats (both p4 and abnormal LAVI/a' showed high PAF-rates. CONCLUSIONS: ESVEA discriminated PAF from non-PAF beyond clinical factors including LAVI/a' in patients with cerebral ischemia. Normal LAVI/a'+PAC/h ≤ 4 ruled out PAF, while prevalence was high in those with abnormal LAVI/a'+PAC/h >4.

  10. Waste indicators

    International Nuclear Information System (INIS)

    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)

  11. Waste indicators

    Energy Technology Data Exchange (ETDEWEB)

    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)

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

    Science.gov (United States)

    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

  13. Proliferative index activity in oral squamous cell carcinoma: indication for postoperative radiotherapy?

    Science.gov (United States)

    Gontarz, M; Wyszyńska-Pawelec, G; Zapała, J; Czopek, J; Lazar, A; Tomaszewska, R

    2014-10-01

    The predictive value of the Ki-67 labelling index and its relationship with radiosensitivity in oral squamous cell carcinoma (SCC) remains controversial. We sought to evaluate whether the expression of Ki-67 antigen found in SCC of the tongue and the floor of the mouth is an indication for postoperative radiotherapy (PORT). The first study group included 34 patients who were treated only with primary surgery, while the second group included 26 patients who underwent primary surgery combined with PORT. The correlation between Ki-67 expression and loco-regional recurrence, as well as the 5-year disease-specific survival, was assessed in the two groups. Cases of high-proliferative tumours showed a significantly higher risk of loco-regional recurrence (P=0.018) and a poorer prognosis (P=0.001) only in the 34 patients treated with surgery alone. In multivariate Cox regression analysis, high Ki-67 expression was an independent predictor of loco-regional recurrence (HR 5.42, P=0.029) and disease-specific survival (HR 9.02, P=0.004). The correlation between Ki-67 expression and the risk of loco-regional recurrence in SCC of the tongue and the floor of the mouth may be useful in the selection of patients at a higher risk of recurrence who would benefit from PORT, despite adequate margins of resection and early stage of the disease.

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

    Science.gov (United States)

    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

  15. Integrated conceptual ecological model and habitat indices for the southwest Florida coastal wetlands

    Science.gov (United States)

    Wingard, Georgiana L.; Lorenz, J. L.

    2014-01-01

    The coastal wetlands of southwest Florida that extend from Charlotte Harbor south to Cape Sable, contain more than 60,000 ha of mangroves and 22,177 ha of salt marsh. These coastal wetlands form a transition zone between the freshwater and marine environments of the South Florida Coastal Marine Ecosystem (SFCME). The coastal wetlands provide diverse ecosystem services that are valued by society and thus are important to the economy of the state. Species from throughout the region spend part of their life cycle in the coastal wetlands, including many marine and coastal-dependent species, making this zone critical to the ecosystem health of the Everglades and the SFCME. However, the coastal wetlands are increasingly vulnerable due to rising sea level, changes in storm intensity and frequency, land use, and water management practices. They are at the boundary of the region covered by the Comprehensive Everglades Restoration Plan (CERP), and thus are impacted by both CERP and marine resource management decisions. An integrated conceptual ecological model (ICEM) for the southwest coastal wetlands of Florida was developed that illustrates the linkages between drivers, pressures, ecological process, and ecosystem services. Five ecological indicators are presented: (1) mangrove community structure and spatial extent; (2) waterbirds; (3) prey-base fish and macroinvertebrates; (4) crocodilians; and (5) periphyton. Most of these indicators are already used in other areas of south Florida and the SFCME, and therefore will allow metrics from the coastal wetlands to be used in system-wide assessments that incorporate the entire Greater Everglades Ecosystem.

  16. Managing CSCL Activity through networking models

    Directory of Open Access Journals (Sweden)

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

  18. Mid-Infrared Spectral Indicators of Star-Formation and AGN Activity in Normal Galaxies

    CERN Document Server

    Treyer, Marie; Schiminovich, David; O'Dowd, Matt

    2010-01-01

    We investigate the use of mid-infrared PAH bands, continuum and emission lines as probes of star-formation and AGN activity in a sample of 100 `normal' and local (z~0.1) galaxies. The MIR spectra were obtained with the Spitzer IRS as part of the Spitzer-SDSS-GALEX Spectroscopic Survey (SSGSS) which includes multi-wavelength photometry from the UV to the FIR and optical spectroscopy. The spectra were decomposed using PAHFIT (Smith et al. 2007), which we find to yield PAH equivalent widths (EW) up to ~30 times larger than the commonly used spline methods. Based on correlations between PAH, continuum and emission line properties and optically derived physical properties (gas phase metallicity, radiation field hardness), we revisit the diagnostic diagram relating PAH EWs and [NeII]/[OIV] and find it more efficient as distinguishing weak AGNs from star-forming galaxies than when spline decompositions are used. The luminosity of individual MIR component (PAH, continuum, Ne and molecular hydrogen lines) are found to...

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

    Energy Technology Data Exchange (ETDEWEB)

    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.

  20. Anthropometric obesity indices in relation to age, educational level, occupation and physical activity in Bulgarian men.

    Science.gov (United States)

    Andreenko, Emiliya; Mladenova, Silviya; Akabaliev, Valentin

    2014-09-12

    Obesity indices. Anthropometry. Men. Factors. Objetivo: El objetivo del presente estudio fue estimar el nivel de obesidad y su relación con la edad, nivel educativo, ocupación y actividad física en los hombres adultos búlgaros de zona urbana. Material y métodos: La muestra incluyó hombres 1010, de 18-50 años de edad, de la ciudad de Plovdiv, Bulgaria. El estudio se realizó en el período 2004-2008. Se midieron la circunferencia del cuerpo altura, peso y cintura. El sobrepeso y la obesidad se definen según los puntos de corte internacional de índice de masa corporal (IMC). La obesidad abdominal fue evaluar las categorías de relación de la altura de la cintura (CT). La edad, nivel educativo, ocupación y actividad física de cada persona se investigaron a través de la consulta. Para el análisis estadístico el SPSS paquete fue utilizado. Resultados: Los resultados muestran que 42,1% de los hombres investigados eran sobrepeso y 19,4% de ellos eran obesos. Con CT irregular y obesidad central fueron 66,1% de los casos. El porcentaje de hombres con obesidad general y central aumenta con la edad. En el caso de la obesidad central y general, las diferencias entre los trabajadores físicos e intelectuales son significación, incluso después de controlar la edad.CT tiene un mayor potencial para diferenciar las personas con diversas ocupaciones que BMI. La edad y la ocupación fueron los factores más importantes que afectan la obesidad general y abdominal. El nivel educativo tiene un impacto significativo en la acumulación de grasa abdominal.La conexión entre el nivel de actividad física e IMC y CT fue menor. Conclusiónes: El estudio encuentra que los hombres trabajan y viven en ese particular área urbana tienen diferencias significativas en términos de sobrepeso y obesidad. El nivel educativo, ocupación y edad tienen un potencial grave influenciado su estado nutricional del cuerpo.

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

    Science.gov (United States)

    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

  2. The activity model of legal psychologist

    Directory of Open Access Journals (Sweden)

    N.V. Bogdanovich,

    2014-08-01

    Full Text Available 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 diagnostics, development activity and psychological education, psycho-correction, psychological counseling. Accordingly, we define the types of psychological practices. We highlight the motivational and integrative practice (teaching introductory and trainee. We propose a system of training modules, ensuring the formation of the necessary competencies. The modules feature is their focus on practice (the association of training courses with the main types of psychological practice.

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

    Science.gov (United States)

    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

  4. Identifying carcinogenic activity of methylated and non-methylated polycyclic aromatic hydrocarbons (PAHs) through electronic and topological indices

    CERN Document Server

    Braga, R S; Barone, P M V B

    2000-01-01

    Polycyclic aromatic hydrocarbons (PAHs) are a class of planar molecules, abundant in urban environment, which can induce chemical carcinogenesis. Their carcinogenic power varies in a large range, from very strong carcinogens to inactive ones. In a previous study, we proposed a methodology to identify the PAHs carcinogenic activity exploring electronic and topological indices. In the present work, we show that it is possible to simplify that methodology and expand its applicability to include methylated PAHs compounds. Using very simple rules, we can predict their carcinogenic activity with high accuracy (approx 89%).

  5. MODELING MERCURY CONTROL WITH POWDERED ACTIVATED CARBON

    Science.gov (United States)

    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...

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

    Science.gov (United States)

    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…

  7. Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction

    Science.gov (United States)

    Marsh, Herbert W.; Wen, Zhonglin; Hau, Kit-Tai

    2004-01-01

    Interactions between (multiple indicator) latent variables are rarely used because of implementation complexity and competing strategies. Based on 4 simulation studies, the traditional constrained approach performed more poorly than did 3 new approaches-unconstrained, generalized appended product indicator, and quasi-maximum-likelihood (QML). The…

  8. Concepts of disability: the Activity Space Model.

    Science.gov (United States)

    Kopec, J A

    1995-03-01

    This paper describes a new conceptual framework for functional assessment, the Activity Space Model (ASM). According to this model, functional impairments may lead to restrictions in an individual's activity space, a multidimensional space that represents human potential for activity. For each elementary ability, restrictions in the corresponding dimension of the activity space can be evaluated by deriving a difficulty curve that depicts the relationship between the level of performance and the psychophysical cost of activity. The effect of disease on daily functioning is explained in terms of a tradeoff between the psychophysical cost and the value of each act of behavior to the disabled individual. These two constructs are measured on the same scale and expressed in units of difficulty. The location of each task within the activity space in relation to the difficulty curve determines whether it will be performed or avoided at a given point in time. The ASM has both theoretical and practical implications. It offers a new, integrated perspective on disability and suggests new strategies for developing and evaluating functional assessment measures.

  9. Mathematical model of radon activity measurements

    Energy Technology Data Exchange (ETDEWEB)

    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)

  10. Kinetic model of excess activated sludge thermohydrolysis.

    Science.gov (United States)

    Imbierowicz, Mirosław; Chacuk, Andrzej

    2012-11-01

    Thermal hydrolysis of excess activated sludge suspensions was carried at temperatures ranging from 423 K to 523 K and under pressure 0.2-4.0 MPa. Changes of total organic carbon (TOC) concentration in a solid and liquid phase were measured during these studies. At the temperature 423 K, after 2 h of the process, TOC concentration in the reaction mixture decreased by 15-18% of the initial value. At 473 K total organic carbon removal from activated sludge suspension increased to 30%. It was also found that the solubilisation of particulate organic matter strongly depended on the process temperature. At 423 K the transfer of TOC from solid particles into liquid phase after 1 h of the process reached 25% of the initial value, however, at the temperature of 523 K the conversion degree of 'solid' TOC attained 50% just after 15 min of the process. In the article a lumped kinetic model of the process of activated sludge thermohydrolysis has been proposed. It was assumed that during heating of the activated sludge suspension to a temperature in the range of 423-523 K two parallel reactions occurred. One, connected with thermal destruction of activated sludge particles, caused solubilisation of organic carbon and an increase of dissolved organic carbon concentration in the liquid phase (hydrolysate). The parallel reaction led to a new kind of unsolvable solid phase, which was further decomposed into gaseous products (CO(2)). The collected experimental data were used to identify unknown parameters of the model, i.e. activation energies and pre-exponential factors of elementary reactions. The mathematical model of activated sludge thermohydrolysis appropriately describes the kinetics of reactions occurring in the studied system. PMID:22951329

  11. Plugging indicator

    International Nuclear Information System (INIS)

    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.)

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

    Directory of Open Access Journals (Sweden)

    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.

  13. The Weird World, and Equally Weird Measurement Models: Reactive Indicators and the Validity Revolution

    Science.gov (United States)

    Hayduk, Leslie A.; Robinson, Hannah Pazderka; Cummings, Greta G.; Boadu, Kwame; Verbeek, Eric L.; Perks, Thomas A.

    2007-01-01

    Researchers using structural equation modeling (SEM) aspire to learn about the world by seeking models with causal specifications that match the causal forces extant in the world. This quest for a model matching existing worldly causal forces constitutes an ontology that orients, or perhaps reorients, thinking about measurement validity. This…

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

    Science.gov (United States)

    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.

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

    Energy Technology Data Exchange (ETDEWEB)

    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.

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

    International Nuclear Information System (INIS)

    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

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

    Science.gov (United States)

    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…

  18. Distribution of phytoplankton functional types in high-nitrate, low-chlorophyll waters in a new diagnostic ecological indicator model

    Directory of Open Access Journals (Sweden)

    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.

  19. Phase Transitions in Model Active Systems

    Science.gov (United States)

    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

  20. Assessing the Impact of Fuel Cost on Traffic Demand in Flanders using Activity-Based Models

    OpenAIRE

    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...

  1. Methods of Modelling Marketing Activity on Software Sales

    Directory of Open Access Journals (Sweden)

    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.

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

    Directory of Open Access Journals (Sweden)

    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.

  3. Regression modeling plan for 29 biochemical indicators of diet and nutrition measured in NHANES 2003-2006.

    Science.gov (United States)

    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

  4. An Active Region Model for Capturing Fractal Flow Patterns inUnsaturated Soils: Model Development

    Energy Technology Data Exchange (ETDEWEB)

    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.

  5. The Hierarchical Trend Model for property valuation and local price indices

    NARCIS (Netherlands)

    M.K. Francke; G.A. Vos

    2002-01-01

    This paper presents a hierarchical trend model (HTM) for selling prices of houses, addressing three main problems: the spatial and temporal dependence of selling prices and the dependency of price index changes on housing quality. In this model the general price trend, cluster-level price trends, an

  6. Quantification of potential impurities by a stability indicating UV-HPLC method in niacinamide active pharmaceutical ingredient.

    Science.gov (United States)

    Thomas, Saji; Bharti, Amber; Tharpa, Kalsang; Agarwal, Ashutosh

    2012-02-23

    A sensitive, stability indicating reverse phase UV-HPLC method has been developed for the quantitative determination of potential impurities of niacinamide active pharmaceutical ingredient. Efficient chromatographic separation was achieved on C18 stationary phase in isocratic mode using simple mobile phase. Forced degradation study confirmed that the newly developed method was specific and selective to the degradation products. Major degradation of the drug substance was found to occur under oxidative stress conditions to form niacinamide N-oxide. The method was validated according to ICH guidelines with respect to specificity, precision, linearity and accuracy. Regression analysis showed correlation coefficient value greater than 0.999 for niacinamide and its six impurities. Detection limit of impurities was in the range of 0.003-0.005% indicating the high sensitivity of the newly developed method. Accuracy of the method was established based on the recovery obtained between 93.3% and 113.3% for all impurities.

  7. Modelling land use changes according to transportation scenarios using raster based GIS indicators

    DEFF Research Database (Denmark)

    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, urban......The modelling of land use change is a way to analyse future scenarios by modelling different future pathways. This study demonstrates the potential to explore and test the understanding of land use change relations by applying spatial data of different scales, coupled with socio-economic data....... In 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...

  8. A unified structural equation modeling approach for the decomposition of rank-dependent indicators of socioeconomic inequality of health

    OpenAIRE

    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...

  9. Extracting GDP Signals From the Monthly Indicator of Economic Activity: Evidence From Chilean Real-Time Data

    OpenAIRE

    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...

  10. Characterizing and modeling the dynamics of activity and popularity.

    Directory of Open Access Journals (Sweden)

    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.

  11. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth.

    Science.gov (United States)

    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

  12. APT cost scaling: Preliminary indications from a Parametric Costing Model (PCM)

    International Nuclear Information System (INIS)

    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

  13. APT cost scaling: Preliminary indications from a Parametric Costing Model (PCM)

    Energy Technology Data Exchange (ETDEWEB)

    Krakowski, R.A.

    1995-02-03

    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 level{close_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 curve{close_quotes}) are reported. Areas of further development and application are suggested.

  14. On a Quantum Model of Brain Activities

    Science.gov (United States)

    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.

  15. Analysis of a hundred years magnetic activity indices. IV Various components of the annual wave at subauroral latitudes

    International Nuclear Information System (INIS)

    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

  16. Modeling Movements in Oil, Gold, Forex and Market Indices using Search Volume Index and Twitter Sentiments

    OpenAIRE

    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 ...

  17. MODEL OF ACTIVITY OF THE ENTERPRISE AS MODEL OF ACTIVITY OF THE HUMAN: SEARCH ANALYSIS

    Directory of Open Access Journals (Sweden)

    Ruslan Flerovich Vildanov

    2014-09-01

    Full Text Available 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.

  18. IMPACT OF GREENHOUSE EFFECT GASES ON CLIMATIC CHANGES. MEASUREMENT INDICATORS AND FORECAST MODELS

    OpenAIRE

    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...

  19. Modelling the Dynamics of Credit Spreads of European Corporate Bond Indices

    OpenAIRE

    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...

  20. Development of a generic activities model of command and control

    OpenAIRE

    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...

  1. Serum HMGB1 Serves as a Novel Laboratory Indicator Reflecting Disease Activity and Treatment Response in Ankylosing Spondylitis Patients

    Science.gov (United States)

    Miao, Ye; Huang, Yishu; Sun, Mengchen; Zhu, Yingzi; Zheng, Fang

    2016-01-01

    Objective. High mobility group box 1 (HMGB1) is a late inflammatory factor participating in the pathogenesis of various autoimmune and inflammatory diseases. In the current study, we analyzed the association between serum levels of HMGB1 and clinical features of AS patients before and during treatment. Methods. Serum HMGB1 was detected in 147 AS patients and 61 healthy controls using ELISA. We evaluated the association between HMGB1 and extra-articular manifestations as well as disease severity indices. Among these AS patients, 41 patients received close follow-up at 1, 3, and 6 months after treatment. This group comprised 25 patients treated with anti-TNF-α biologics and 16 patients receiving oral NSAIDs plus sulfasalazine. Results. The serum HMGB1 of AS patients was significantly higher than in healthy controls and positively correlated with BASDAI, BASFI, ASDAS-ESR, ASDAS-CRP, ESR, and CRP, but not with HLA-B27, anterior uveitis, and recurrent diarrhea. There was no significant difference between patients with radiographic damage of hip joints and those without. We observed that serum HMGB1 paralleled disease activity after treatment. Conclusion. Serum level of HMGB1 is higher in AS patients, and to some extent, HMGB1 can reflect the activity of AS and be used as a laboratory indicator to reflect the therapeutic response.

  2. Vibro-fluidized bed heat pump drying of mint leaves with respect to phenolic content, antioxidant activity, and color indices

    Directory of Open Access Journals (Sweden)

    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.

  3. Indices to Study the Electrical Power Signals in Active and Passive Distribution Lines: A Combined Analysis with Empirical Mode Decomposition

    Directory of Open Access Journals (Sweden)

    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.

  4. [Validity of indicators on physical activity and sedentary behavior from the Brazilian National School-Based Health Survey among adolescents in Rio de Janeiro, Brazil].

    Science.gov (United States)

    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

  5. [Validity of indicators on physical activity and sedentary behavior from the Brazilian National School-Based Health Survey among adolescents in Rio de Janeiro, Brazil].

    Science.gov (United States)

    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.

  6. Modeling drought impact occurrence based on climatological drought indices for four European countries

    Science.gov (United States)

    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

  7. Modeling drought impact occurrence based on climatological drought indices for four European countries

    Science.gov (United States)

    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

  8. Modeling Insights into Deuterium Excess as an Indicator of Water Vapor Source Conditions

    Science.gov (United States)

    Lewis, Sophie C.; Legrande, Allegra Nicole; Kelley, Maxwell; Schmidt, Gavin A.

    2013-01-01

    Deuterium excess (d) is interpreted in conventional paleoclimate reconstructions as a tracer of oceanic source region conditions, such as temperature, where precipitation originates. Previous studies have adopted co-isotopic approaches to estimate past changes in both site and oceanic source temperatures for ice core sites using empirical relationships derived from conceptual distillation models, particularly Mixed Cloud Isotopic Models (MCIMs). However, the relationship between d and oceanic surface conditions remains unclear in past contexts. We investigate this climate-isotope relationship for sites in Greenland and Antarctica using multiple simulations of the water isotope-enabled Goddard Institute for Space Studies (GISS) ModelE-R general circulation model and apply a novel suite of model vapor source distribution (VSD) tracers to assess d as a proxy for source temperature variability under a range of climatic conditions. Simulated average source temperatures determined by the VSDs are compared to synthetic source temperature estimates calculated using MCIM equations linking d to source region conditions. We show that although deuterium excess is generally a faithful tracer of source temperatures as estimated by the MCIM approach, large discrepancies in the isotope-climate relationship occur around Greenland during the Last Glacial Maximum simulation, when precipitation seasonality and moisture source regions were notably different from present. This identified sensitivity in d as a source temperature proxy suggests that quantitative climate reconstructions from deuterium excess should be treated with caution for some sites when boundary conditions are significantly different from the present day. Also, the exclusion of the influence of humidity and other evaporative source changes in MCIM regressions may be a limitation of quantifying source temperature fluctuations from deuterium excess in some instances.

  9. "Ecological Value Added" in an Integrated Ecosystem-Economy Model. An Indicator for Sustainability

    OpenAIRE

    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...

  10. Comparative MD Simulations Indicate a Dual Role for Arg1323.50 in Dopamine-Dependent D2R Activation.

    Directory of Open Access Journals (Sweden)

    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.

  11. QSTR with extended topochemical atom (ETA) indices. 14. QSAR modeling of toxicity of aromatic aldehydes to Tetrahymena pyriformis

    Energy Technology Data Exchange (ETDEWEB)

    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.

  12. Inferring brain-computational mechanisms with models of activity measurements.

    Science.gov (United States)

    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'.

  13. Inferring brain-computational mechanisms with models of activity measurements.

    Science.gov (United States)

    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

  14. State-space modeling indicates rapid invasion of an alien shrub in coastal dunes

    DEFF Research Database (Denmark)

    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...

  15. CONSUMER BEHAVIOR AND ENTERPRISE AGILITY – A MODEL OF THE SURVEYED INDICATORS

    Directory of Open Access Journals (Sweden)

    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

  16. A dynamic factor model of the coincident indicators for the US transportation sector

    OpenAIRE

    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.

  17. Modeling the dynamics of DDT in a remote tropical floodplain: indications of post-ban use?

    Science.gov (United States)

    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

  18. Stata Modules for Calculating Novel Predictive Performance Indices for Logistic Models

    Directory of Open Access Journals (Sweden)

    Barkhordari

    2016-01-01

    Full Text Available Background Prediction is a fundamental part of prevention of cardiovascular diseases (CVD. The development of prediction algorithms based on the multivariate regression models loomed several decades ago. Parallel with predictive models development, biomarker researches emerged in an impressively great scale. The key question is how best to assess and quantify the improvement in risk prediction offered by new biomarkers or more basically how to assess the performance of a risk prediction model. Discrimination, calibration, and added predictive value have been recently suggested to be used while comparing the predictive performances of the predictive models’ with and without novel biomarkers. Objectives Lack of user-friendly statistical software has restricted implementation of novel model assessment methods while examining novel biomarkers. We intended, thus, to develop a user-friendly software that could be used by researchers with few programming skills. Materials and Methods We have written a Stata command that is intended to help researchers obtain cut point-free and cut point-based net reclassification improvement index and (NRI and relative and absolute Integrated discriminatory improvement index (IDI for logistic-based regression analyses.We applied the commands to a real data on women participating the Tehran lipid and glucose study (TLGS to examine if information of a family history of premature CVD, waist circumference, and fasting plasma glucose can improve predictive performance of the Framingham’s “general CVD risk” algorithm. Results The command is addpred for logistic regression models. Conclusions The Stata package provided herein can encourage the use of novel methods in examining predictive capacity of ever-emerging plethora of novel biomarkers.

  19. University teachers ICT competence: evaluation indicators based on a pedagogical model

    OpenAIRE

    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...

  20. Modeling Aspects Of Activated Sludge Processes Part I: Process Modeling Of Activated Sludge Facilitation And Sedimentation

    International Nuclear Information System (INIS)

    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

  1. Combinations of physical activity, sedentary behaviour and sleep: relationships with health indicators in school-aged children and youth.

    Science.gov (United States)

    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

  2. The integration of bioclimatic indices in an objective probabilistic model for establishing and mapping viticulture suitability in a region

    Science.gov (United States)

    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.

  3. [The effect of sensory stimuli of varying modality on the human body functioning and indices of tense muscular activity].

    Science.gov (United States)

    Kaĭdalin, V S; Kamchatnikov, A G; Sentiabrev, N N; Katuntsev, V P

    2007-01-01

    The work had a purpose to study benefits of aromatic blends of tonic and relaxing essences and functional music on some of the psychophysiological properties of the human functional state and motor activeity. Participants were 30 sprinters (18-22 y.o. males) having the first-class and master ranks. The psychophysiological indices of the athletes' functional state were evaluated with the use of the "CAH" and Spilberger situational anxiety tests, calculated Cardeu vegetative index, time for simple motor reaction and reaction to a moving object. Motor activity was evaluated by top running speed determined with a photo-electronic time-keeper and by duration of pedaling on bicycle ergometer at maximal power. The running step parameters were recorded with electropodography. It was shown that the positive effect of the aromatic essence blends and functional music on motor activity developed fairly rapidly but did not last long. The article discusses features and possible ways the aromatic blends and music effect human organism.

  4. [Zinc homeostasis and indicators of muscle activity in experimental graduated exercise on the background of zinc asparaginate].

    Science.gov (United States)

    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

  5. INDICATOR OF ENVIRONMENTAL PROBLEMS OF AGRICULTURAL SECTORS UNDER THE ENVIRONMENTAL MODELING

    Directory of Open Access Journals (Sweden)

    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.

  6. Evaluation of a Model-Based Groundwater Drought Indicator in the Conterminous U.S.

    Science.gov (United States)

    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

  7. Building Analysis for Urban Energy Planning Using Key Indicators on Virtual 3d City Models - the Energy Atlas of Berlin

    Science.gov (United States)

    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

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

    OpenAIRE

    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...

  9. A New Model of Urban Population Density Indicating Latent Fractal Structure

    CERN Document Server

    Chen, Yanguang

    2016-01-01

    Fractal structure of a system suggests the optimal way in which parts arranged or put together to form a whole. The ideas from fractals have a potential application to the researches on urban sustainable development. To characterize fractal cities, we need the measure of fractional dimension. However, if the fractal organization is concealed in the complex spatial distributions of geographical phenomena, the common methods of evaluating fractal parameter will be disabled. In this article, a new model is proposed to describe urban density and estimate fractal dimension of urban form. If urban density takes on quasi-fractal pattern or the self-similar pattern is hidden in the negative exponential distribution, the generalized gamma function may be employed to model the urban landscape and estimate its latent fractal dimension. As a case study, the method is applied to the city of Hangzhou, China. The results show that urban form evolves from simple to complex structure with time.

  10. Science dynamics and research production indicators, indexes, statistical laws and mathematical models

    CERN Document Server

    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...

  11. Insights from a Novel Tumor Model: Indications for a Quantitative Link between Tumor Growth and Invasion

    CERN Document Server

    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.

  12. Seasonally dependent relationships between indicators of malaria transmission and disease provided by mathematical model simulations

    OpenAIRE

    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...

  13. Modeling lithium rich carbon stars in the Large Magellanic Cloud: an independent distance indicator ?

    OpenAIRE

    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...

  14. Seasonally Dependent Relationships between Indicators of Malaria Transmission and Disease Provided by Mathematical Model Simulations

    OpenAIRE

    Stuckey, Erin M.; 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...

  15. Conceptual data modeling of wildlife response indicators to ecosystem change in the Arctic

    Science.gov (United States)

    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.

  16. ACTIVE AND PARTICIPATORY METHODS IN BIOLOGY: MODELING

    Directory of Open Access Journals (Sweden)

    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.

  17. A Noval Security Model for Indic Scripts - A Case Study on Telugu

    Directory of Open Access Journals (Sweden)

    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

  18. Metallogenic Model and Prospecting Indicators of the Boron Deposits in East Liaoning Area

    Institute of Scientific and Technical Information of China (English)

    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.

  19. Richards growth model and viability indicators for populations subject to interventions

    Directory of Open Access Journals (Sweden)

    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.

  20. Data warehouse model for monitoring key performance indicators (KPIs) using goal oriented approach

    Science.gov (United States)

    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.

  1. The effects of training based on BASNEF model and acupressure at GB21 point on the infants’ physical growth indicators

    OpenAIRE

    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...

  2. Depth and activity of carious lesions as indicators for the regenerative potential of dental pulp after intervention

    DEFF Research Database (Denmark)

    Bjørndal, Lars; Pedersen, Sune Demant Nørgaard; Dabelsteen, Sally

    2014-01-01

    Studies on dental regeneration involving interventions for pulp therapy such as regeneration and revascularization procedures are promising for the injured tooth; however, a complete replication of the original pulp tissue does not seem to take place. In cases in which we wish to preserve...... that the typical reason for performing endodontic treatment is deep caries. The biological concept of vital pulp therapy associated with deep caries takes the treatment and evaluation of the unexposed as well as the exposed pulp into account. Interestingly, the clinical diagnosis is typically the same. Deep caries....... Which treatment should be selected? High-quality trials are needed, and it is important to obtain information on the actual lesion depth and an estimate of the lesion activity before treatment. These may be basic indicators for the regenerative potential of dental pulp. Recent clinical trials dealing...

  3. Prothrombin fragment 1+2 in urine as an indicator of sustained coagulation activation after total hip arthroplasty

    DEFF Research Database (Denmark)

    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). ...... (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...... and to examine the association between the uF1 + 2 concentrations and risk of vascular thrombotic complications (VTC) or death. Finally, we sought to define a cut-off concentration value that could be used to identify patients with a sustained uF1 + 2 elevation after the first postoperative week. The urine...

  4. A model of psychological evaluation of educational environment and its empirical indicators

    Directory of Open Access Journals (Sweden)

    E. B. Laktionova

    2013-04-01

    Full Text Available The topic of the study is to identify ways of complex psychological assessment of educational en-vironment quality, the nature of conditions that affect positive personal development of its members. The solution to this problem is to develop science-based content and technology sup-port for psychological evaluation of the educational environment. The purpose of the study was theoretical rationale and empirical testing of a model of psychological examination of education-al environment. The study is based on the assumption that in order to assess the quality of the educational environment in the aspect of its personality developing potential, we need to create a model of psychological examination as a special developmental system, reflected in terms of the personal characteristics of its subjects. The empirical material is based on a study sample of 717 students and 438 teachers from 28 educational institutions that participated in the program of urban pilot sites of the Department of Education of Moscow. In total, 1,155 people took part it the study.

  5. Indications for different types of brittle failure due to active coal mining using waveform similarities of induced seismic events

    Science.gov (United States)

    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

  6. An approach for activity-based DEVS model specification

    DEFF Research Database (Denmark)

    Alshareef, Abdurrahman; Sarjoughian, Hessam S.; Zarrin, Bahram

    2016-01-01

    activity-based behavior modeling of parallel DEVS atomic models. We consider UML activities and actions as fundamental units of behavior modeling, especially in the presence of recent advances in the UML 2.5 specifications. We describe in detail how to approach activity modeling with a set of elemental...

  7. Monitoring the heavy metal atmospheric deposition in Romania using the neutron activation analysis of bio-indicators

    International Nuclear Information System (INIS)

    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)

  8. Predictive model of nicotine dependence based on mental health indicators and self-concept

    Directory of Open Access Journals (Sweden)

    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.

  9. Activity coefficients in nearly athermal model polymer/solvent systems

    Energy Technology Data Exchange (ETDEWEB)

    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.

  10. Theory and modeling of active brazing.

    Energy Technology Data Exchange (ETDEWEB)

    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.

  11. Models of the stochastic activity of neurones

    CERN Document Server

    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...

  12. Increased activities of both superoxide dismutase and catalase were indicators of acute depressive episodes in patients with major depressive disorder.

    Science.gov (United States)

    Tsai, Meng-Chang; Huang, Tiao-Lai

    2016-01-30

    Oxidative stress may play an important role in the pathophysiology of major depressive disorder (MDD). The aim of this study was to investigate the serum levels of oxidative stress biomarkers and S100B in patients with MDD in an acute phase, and evaluate the changes in superoxide dismutase (SOD), protein carbonyl content (PCC), glutathione peroxidase (GPX), 8-hydroxy 2'-deoxyguanosine after treatment (8-OHdG), catalase (CAT), thiobarbituric acid reactive substances (TBARS) and S100B. We consecutively enrolled 21 MDD inpatients in an acute phase and 40 healthy subjects. Serum oxidative stress markers were measured with assay kits. Serum SOD and CAT activities in MDD patients in an acute phase were significantly higher than those of healthy subjects, and serum PCC levels were significantly lower. The HAM-D scores had a significantly positive association with S100B levels. Eighteen depressed patients were followed up, and there was no significant difference among all of the markers after treatment. In conclusion, our results suggest that increased activities of both SOD and CAT might be indicators of acute depressive episodes in MDD patients.

  13. Discovery of an X-ray cavity near the radio lobes of Cygnus A indicating previous AGN activity

    CERN Document Server

    Chon, Gayoung; Krause, Martin; Truemper, Joachim

    2012-01-01

    Cygnus A harbours the nearest powerful radio jet of an Fanaroff-Riley (FR) class II radio galaxy in a galaxy cluster where the interaction of the jet with the intracluster medium (ICM) can be studied in detail. We use a large set of Chandra archival data, VLA and new LOFAR observations to shed new light on the interaction of the jets with the ICM. We identify an X-ray cavity in the distribution of the X-ray emitting plasma in the region south of the Cyg A nucleus which has lower pressure than the surrounding medium. The LOFAR and VLA radio observations show that the cavity is filled with synchrotron emitting plasma. The spectral age and the buoyancy time of the cavity indicates an age at least as large as the current Cyg A jets and not much larger than twice this time. We suggest that this cavity was created in a previous active phase of Cyg A when the energy output of the Active Galactic Nucleus (AGN) was about two orders of magnitude less than today.

  14. Active State Model for Autonomous Systems

    Science.gov (United States)

    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.

  15. Optical recording of neuronal activity with a genetically-encoded calcium indicator in anesthetized and freely moving mice

    Directory of Open Access Journals (Sweden)

    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.

  16. Modeling and experimental vibration analysis of nanomechanical cantilever active probes

    International Nuclear Information System (INIS)

    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

  17. Wind-tunnel tests and modeling indicate that aerial dispersant delivery operations are highly accurate

    Energy Technology Data Exchange (ETDEWEB)

    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.

  18. Regional climate model simulations indicate limited climatic impacts by operational and planned European wind farms.

    Science.gov (United States)

    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.

  19. Modeling bispecific monoclonal antibody interaction with two cell membrane targets indicates the importance of surface diffusion.

    Science.gov (United States)

    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

  20. Modeling Indications of Technology in Planetary Transit Light Curves-Dark-side Illumination

    Science.gov (United States)

    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.

  1. Modeling active memory: Experiment, theory and simulation

    Science.gov (United States)

    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

  2. Integration of climatic indices in an objective probabilistic model for establishing and mapping viticultural climatic zones in a region

    Science.gov (United States)

    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.

  3. Large order asymptotics and convergent perturbation theory for critical indices of the $\\phi ^4$ model in ${4-\\epsilon}$ expansion

    CERN Document Server

    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.

  4. A Home-Based Educational Intervention Improves Patient Activation Measures and Diabetes Health Indicators among Zuni Indians.

    Directory of Open Access Journals (Sweden)

    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.

  5. On progress of nuclear activation model calculations

    International Nuclear Information System (INIS)

    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)

  6. The New Digital Media Value Network: Proposing an Interactive Model of Digital Media Value Activities

    Directory of Open Access Journals (Sweden)

    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.

  7. Establishment of activity indicator of TiO{sub 2} photocatalytic reaction-Hydroxyl radical trapping method

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Chen-Yu, E-mail: cychang@mdu.edu.tw [Department of Life Science, Ming-Dao University, 369 Wen-Hua Road, Peetow, Chang-Hua County 52345, Taiwan (China); Hsieh, Yung-Hsu [Department of Environmental Engineering, National Chung-Hsing University, 250 Kuo-Kuang Road, Taichung, Taiwan (China); Hsieh, Ling-Ling [Department of Radiological Technology, Central Taiwan University of Sciences and Technology, 11 Pu-Tze Lane, Pei-Tun District, Taichung, Taiwan (China); Yao, Kuo-Shan; Cheng, Ta-Chih [Department of Life Science, Ming-Dao University, 369 Wen-Hua Road, Peetow, Chang-Hua County 52345, Taiwan (China)

    2009-07-30

    In this study, a new, low cost and easy method, hydroxyl radical trapping method, was employed to investigate the photo-activity of UV/TiO{sub 2} photocatalytic reaction. The Taguchi method was utilized to optimize the preparation of titanium dioxide (TiO{sub 2}) thin-film reactor through the modified chemical vapor deposition (CVD) method. The optimal yield of hydroxyl radicals was then evaluated by calculating the conversion ratio of salicylic acid under the optimal conditions. In the experiments, salicylic acid was used as the free-radical scavenger and the formation of three different intermediates were examined to shed light on the trend and kinetics of reaction of hydroxyl radical with organic substance under different operation conditions. The results indicated that the yield of hydroxyl radicals increased with increasing irradiation intensity and dissolved oxygen level. The optimal experimental conditions obtained in this study were irradiation with intensity of 2.9 mW cm{sup -2} on salicylic acid at concentration of 250 mg L{sup -1} by both agitation and aeration processes (dissolved oxygen level = 8.2 mg O{sub 2} L{sup -1}) at pH 5. Such conditions could achieve the optimal hydroxyl radical yield of 5.1 x 10{sup -17} M.

  8. The effects of training based on BASNEF model and acupressure at GB21 point on the infants’ physical growth indicators

    Directory of Open Access Journals (Sweden)

    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.

  9. The effects of training based on BASNEF model and acupressure at GB21 point on the infants’ physical growth indicators

    Directory of Open Access Journals (Sweden)

    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.

  10. Assessing global vegetation activity using spatio-temporal Bayesian modelling

    Science.gov (United States)

    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

  11. Application of empirical predictive modeling using conventional and alternative fecal indicator bacteria in eastern North Carolina waters

    Science.gov (United States)

    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

  12. Variability of indicator values for ozone production sensitivity: a model study in Switzerland and San Joaquin Valley (California)

    International Nuclear Information System (INIS)

    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)

  13. A sorted leading indicators dynamic (SLID) factor model for short-run euro-area GDP forecasting

    OpenAIRE

    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.

  14. Modeling Active Aging and Explicit Memory: An Empirical Study.

    Science.gov (United States)

    Ponce de León, Laura Ponce; Lévy, Jean Pierre; Fernández, Tomás; Ballesteros, Soledad

    2015-08-01

    The rapid growth of the population of older adults and their concomitant psychological status and health needs have captured the attention of researchers and health professionals. To help fill the void of literature available to social workers interested in mental health promotion and aging, the authors provide a model for active aging that uses psychosocial variables. Structural equation modeling was used to examine the relationships among the latent variables of the state of explicit memory, the perception of social resources, depression, and the perception of quality of life in a sample of 184 older adults. The results suggest that explicit memory is not a direct indicator of the perception of quality of life, but it could be considered an indirect indicator as it is positively correlated with perception of social resources and negatively correlated with depression. These last two variables influenced the perception of quality of life directly, the former positively and the latter negatively. The main outcome suggests that the perception of social support improves explicit memory and quality of life and reduces depression in active older adults. The findings also suggest that gerontological professionals should design memory training programs, improve available social resources, and offer environments with opportunities to exercise memory.

  15. Characterizing and Modeling the Dynamics of Activity and Popularity

    CERN Document Server

    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...

  16. Solar activity forecast with a dynamo model

    CERN Document Server

    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...

  17. Multi-scale expression of spatial activity anomalies of earthquakes and its indicative significance on the space and time attributes of strong earthquakes

    Institute of Scientific and Technical Information of China (English)

    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.

  18. Large-scale determinants of diversity across Spanish forest habitats: accounting for model uncertainty in compositional and structural indicators

    Energy Technology Data Exchange (ETDEWEB)

    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

  19. Stochastic simulation of prokaryotic two-component signalling indicates stochasticity-induced active-state locking and growth-rate dependent bistability.

    Science.gov (United States)

    Wei, Katy; Moinat, Maxim; Maarleveld, Timo R; Bruggeman, Frank J

    2014-07-29

    Signal transduction by prokaryotes almost exclusively relies on two-component systems for sensing and responding to (extracellular) signals. Here, we use stochastic models of two-component systems to better understand the impact of stochasticity on the fidelity and robustness of signal transmission, the outcome of autoregulatory gene expression and the influence of cell growth and division. We report that two-component systems are remarkably robust against copy number fluctuations of the signalling proteins they are composed of, which enhances signal transmission fidelity. Furthermore, we find that due to stochasticity these systems can get locked in an active state for extended time periods when (initially high) signal levels drop to zero. This behaviour can contribute to a bet-hedging adaptation strategy, aiding survival in fluctuating environments. Additionally, autoregulatory gene expression can cause two-component systems to become bistable at realistic parameter values. As a result, two sub-populations of cells can co-exist-active and inactive cells, which contributes to fitness in unpredictable environments. Bistability proved robust with respect to cell growth and division, and is tunable by the growth rate. In conclusion, our results indicate how single cells can cope with the inevitable stochasticity occurring in the activity of their two-component systems. They are robust to disadvantageous fluctuations that scramble signal transduction and they exploit beneficial stochasticity that generates fitness-enhancing heterogeneity across an isogenic population of cells.

  20. Cardiac modeling using active appearance models and morphological operators

    Science.gov (United States)

    Pfeifer, Bernhard; Hanser, Friedrich; Seger, Michael; Hintermueller, Christoph; Modre-Osprian, Robert; Fischer, Gerald; Muehlthaler, Hannes; Trieb, Thomas; Tilg, Bernhard

    2005-04-01

    We present an approach for fast reconstructing of cardiac myocardium and blood masses of a patient's heart from morphological image data, acquired either MRI or CT, in order to estimate numerically the spread of electrical excitation in the patient's atria and ventricles. The approach can be divided into two main steps. During the first step the ventricular and atrial blood masses are extracted employing Active Appearance Models (AAM). The left and right ventricular blood masses are segmented automatically after providing the positions of the apex cordis and the base of the heart. Because of the complex geometry of the atria the segmentation process of the atrial blood masses requires more information as the ventricular blood mass segmentation process of the ventricles. We divided, for this reason, the left and right atrium into three divisions of appearance. This proved sufficient for the 2D AAM model to extract the target blood masses. The base of the heart, the left upper and left lower pulmonary vein from its first up to its last appearance in the image stack, and the right upper and lower pulmonary vein have to be marked. After separating the volume data into these divisions the 2D AAM search procedure extracts the blood masses which are the main input for the second and last step in the myocardium extraction pipeline. This step uses morphologically-based operations in order to extract the ventricular and atrial myocardium either directly by detecting the myocardium in the volume block or by reconstructing the myocardium using mean model information, in case the algorithm fails to detect the myocardium.

  1. Uptake of amino acids in brain tumours using positron emission tomography as an indicator for assessing metabolic activity and malignancy

    Energy Technology Data Exchange (ETDEWEB)

    Schober, O.; Meyer, G.J.; Duden, C.; Lauenstein, L.; Niggemann, J.; Mueller, J.A.; Hundeshagen, H.; Gaab, M.R.; Dietz, H.; Becker, H.

    1987-11-01

    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 /sup 11/C-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.

  2. Toward a model of neuropsychological activity.

    Science.gov (United States)

    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

  3. Application of a new combined model including radiological indicators to predict difficult airway in patients undergoing surgery for cervical spondylosis

    Institute of Scientific and Technical Information of China (English)

    Xu Mao; Li Xiaoxi; Wang Jun; Guo Xiangyang

    2014-01-01

    Background Airway management is crucial in clinical anesthesia.Many complications associated with airway management result from unexpected difficult airway,but predicting a difficult airway is a major challenge.We investigated the efficacy of a new combined model including radiological indicators to predict difficult airway in patients undergoing surgery for cervical spondylosis,a population with a high incidence of difficult airway.Methods We randomly enrolled 303 patients scheduled for elective surgery for cervical spondylosis at Peking University Third Hospital between August 2012 and March 2013.Preoperatively,patients were evaluated for difficult airway according to a clinical index and parameters on lateral cervical radiographs and magnetic resonance images.Difficult airway was defined as Cormack-Lehane grades Ⅲ-Ⅳ.Logistic regression was used to identify a combined (clinical and radiological) model for difficult airway.A receiver operating characteristic (ROC) curve was used to describe the effectiveness of prediction.Results We identified three clinical predictive factors using the ROC curve:mouth opening,stemomental distance,and neck mobility.We created a clinical model using three factors:gender,age,and mouth opening,with odds ratios (OR) of 0.370,1.034,and 0.358,respectively.Using the clinical and radiological parameters,we formulated a combined model with five risk factors:gender,mouth opening,atlanto-occipital gap,the angle from the second to sixth cervical vertebraes in the neutral position,and the angle difference of δ (the angle between the laryngeal axis and the epiglottic axis) from the neutral position to extension (OR:0.107,0.355,0.846,1.057,and 0.952,respectively).The sensitivity and specificity of the combined model were 80.0% and 65.7%,respectively,and the ROC curve confirmed that the combined model was better than any single clinical predictor and the clinical model.Conclusion The efficacy of the combined model including both clinical

  4. Poor transferability of species distribution models for a pelagic predator, the grey petrel, indicates contrasting habitat preferences across ocean basins.

    Directory of Open Access Journals (Sweden)

    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

  5. System of Integrated Indicators for the Assessment of Scientific-Technical and Innovation Activities in the Context of European Integration

    Directory of Open Access Journals (Sweden)

    Yegorov, I.Yu.

    2016-07-01

    Full Text Available The most important indicators of innovation development in the context of further integration of Ukraine into the European economic, scientific and technological area are considered.

  6. A Capacity-Restraint Transit Assignment Model When a Predetermination Method Indicates the Invalidity of Time Independence

    Directory of Open Access Journals (Sweden)

    Haoyang Ding

    2015-01-01

    Full Text Available The statistical independence of time of every two adjacent bus links plays a crucial role in deciding the feasibility of using many mathematical models to analyze urban transit networks. Traditional research generally ignores the time independence that acts as the ground of their models. Assumption is usually made that time independence of every two adjacent links is sound. This is, however, actually groundless and probably causes problematic conclusions reached by corresponding models. Many transit assignment models such as multinomial probit-based models lose their effects when the time independence is not valid. In this paper, a simple method to predetermine the time independence is proposed. Based on the predetermination method, a modified capacity-restraint transit assignment method aimed at engineering practice is put forward and tested through a small contrived network and a case study in Nanjing city, China, respectively. It is found that the slope of regression equation between the mean and standard deviation of normal distribution acts as the indicator of time independence at the same time. Besides, our modified assignment method performs better than the traditional one with more reasonable results while keeping the property of simplicity well.

  7. Multi-day activity scheduling reactions to planned activities and future events in a dynamic model of activity-travel behavior

    Science.gov (United States)

    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.

  8. Quantifying and modeling long-range cross correlations in multiple time series with applications to world stock indices

    Science.gov (United States)

    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.

  9. ACTIVITY ANALYSIS WITH HIDDEN MARKOV MODEL FOR AMBIENT ASSISTED LIVING

    Directory of Open Access Journals (Sweden)

    Dietmar Bruckner

    2012-06-01

    Full Text Available In an Ambient Assisted Living (AAL project the activities of the user will be analyzed. The raw data is from a motion detector. Through data processing the huge amount of dynamic raw data was translated to state data. With hidden Markov model, forward algorithm to analyze these state data the daily activity model of the user was built. Thirdly by comparing the model with observed activity sequences, and finding out the similarities between them, defined the best adapt routine in the model. Furthermore an activity routine net was built and used to compare with the hidden Markov model.

  10. Activated sludge model No. 2d, ASM2d

    DEFF Research Database (Denmark)

    Henze, M.

    1999-01-01

    The Activated Sludge Model No. 2d (ASM2d) presents a model for biological phosphorus removal with simultaneous nitrification-denitrification in activated sludge systems. ASM2d is based on ASM2 and is expanded to include the denitrifying activity of the phosphorus accumulating organisms (PAOs...

  11. Computational Modeling to Limit the Impact Displays and Indicator Lights Have on Habitable Volume Operational Lighting Constraints

    Science.gov (United States)

    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

  12. MICA-BBVA: A factor model of economic and financial indicators for short-term GDP forecasting

    OpenAIRE

    Camacho, Máximo; Doménech, Rafael

    2012-01-01

    In this paper we extend the Stock and Watson’s (1991) single-index dynamic factor model in an econometric framework that has the advantage of combining information from real and financial indicators published at different frequencies and delays with respect to the period to which they refer. We find that the common factor reflects the behavior of the Spanish business cycle well and helps to estimate with high precision the regime-switching probabilities in line with business cycle phase...

  13. METHODS FOR THE ASSESSMENT OF PERFORMANCE INDICATION MEASURES AT AMAKOM INTERSECTION AND THEIR APPLICATION IN MICRO SIMULATION MODELING

    Directory of Open Access Journals (Sweden)

    Emmanuel Kwesi Nyantakyi

    2014-03-01

    Full Text Available Signalized intersections are vital nodal points in a transportation network and their efficiency of operation greatly influences the entire network's performance. Traffic simulation models have been widely used in both transportation operations and traffic analyses because simulation is safer, less expensive, and faster than field implementation and testing. This study assessed performance indication measures at Amakom intersection using micro simulation models in Synchro/SimTraffic. Traffic, geometric and signal control data including key parameters with greatest impact on the calibration process were collected on the field. At 5% significant level, the Chi square test and t-test analyses revealed that headway had a strong correlation with saturation flow compared to speed for both field and simulated conditions. It was concluded that changes in phasing plan with geometric improvement would improve upon the intersection’s level of service.

  14. Improved Geothermometry Through Multivariate Reaction-path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators: Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Mattson, Earl [Idaho National Lab. (INL), Idaho Falls, ID (United States); Smith, Robert [Idaho National Lab. (INL), Idaho Falls, ID (United States); Fujita, Yoshiko [Idaho National Lab. (INL), Idaho Falls, ID (United States); McLing, Travis [Idaho National Lab. (INL), Idaho Falls, ID (United States); Neupane, Ghanashyam [Idaho National Lab. (INL), Idaho Falls, ID (United States); Palmer, Carl [Idaho National Lab. (INL), Idaho Falls, ID (United States); Reed, David [Idaho National Lab. (INL), Idaho Falls, ID (United States); Thompson, Vicki [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-03-01

    The project was aimed at demonstrating that the geothermometric predictions can be improved through the application of multi-element reaction path modeling that accounts for lithologic and tectonic settings, while also accounting for biological influences on geochemical temperature indicators. The limited utilization of chemical signatures by individual traditional geothermometer in the development of reservoir temperature estimates may have been constraining their reliability for evaluation of potential geothermal resources. This project, however, was intended to build a geothermometry tool which can integrate multi-component reaction path modeling with process-optimization capability that can be applied to dilute, low-temperature water samples to consistently predict reservoir temperature within ±30 °C. The project was also intended to evaluate the extent to which microbiological processes can modulate the geochemical signals in some thermal waters and influence the geothermometric predictions.

  15. μ suppression as an indicator of activation of the perceptual-motor system by smoking-related cues in smokers.

    Science.gov (United States)

    Dickter, Cheryl L; Kieffaber, Paul D; Kittel, Julie A; Forestell, Catherine A

    2013-07-01

    The goal of the current study was to determine whether activation of the mirror neuron system, as measured by mu rhythm desynchronization, varied as a function of image content in smokers compared with nonsmokers. EEG activity was recorded while participants passively viewed images depicting smoking-related and nonsmoking-related stimuli. In half of the images, cues were depicted alone (inactive), while for the remaining images, cues were depicted with humans interacting with them (active). For the nonsmoking stimuli, smokers and nonsmokers showed greater mu suppression to the active cues compared to the inactive cues. However, for the smoking-related stimuli, smokers showed greater perception-action coupling for the active cues as reflected in their enhanced mu suppression, compared to nonsmokers. The results of the current study support the involvement of the perceptual-motor system in the activation of motivated drug use behaviors.

  16. X-ray diffraction indicates that active cross-bridges bind to actin target zones in insect flight muscle.

    OpenAIRE

    Tregear, R T; Edwards, R J; Irving, T C; Poole, K J; Reedy, M C; Schmitz, H.; Towns-Andrews, E; Reedy, M K

    1998-01-01

    We report the first time-resolved study of the two-dimensional x-ray diffraction pattern during active contraction in insect flight muscle (IFM). Activation of demembranated Lethocerus IFM was triggered by 1.5-2.5% step stretches (risetime 10 ms; held for 1.5 s) giving delayed active tension that peaked at 100-200 ms. Bundles of 8-12 fibers were stretch-activated on SRS synchrotron x-ray beamline 16.1, and time-resolved changes in diffraction were monitored with a SRS 2-D multiwire detector. ...

  17. Finite element models applied in active structural acoustic control

    OpenAIRE

    Oude Nijhuis, Marco H.H.; de Boer; Rao, Vittal S.

    2002-01-01

    This paper discusses the modeling of systems for active structural acoustic control. The finite element method is applied to model structures including the dynamics of piezoelectric sensors and actuators. A model reduction technique is presented to make the finite element model suitable for controller design. The reduced structural model is combined with an acoustic model which uses the radiation mode concept. For a test case consisting of a rectangular plate with one piezo patch the model re...

  18. Comparison of activity coefficient models for electrolyte systems

    DEFF Research Database (Denmark)

    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...... University of Denmark (DTU). Test systems containing a single salt (NaCl), multiple salts, and mixed solvent aqueous electrolyte solutions were chosen. The performance of the activity coefficient models were compared regarding the accuracy of solid-liquid and vapor-liquid equilibrium calculations...

  19. A spatial hazard model for cluster detection on continuous indicators of disease: application to somatic cell score.

    Science.gov (United States)

    Gay, Emilie; Senoussi, Rachid; Barnouin, Jacques

    2007-01-01

    Methods for spatial cluster detection dealing with diseases quantified by continuous variables are few, whereas several diseases are better approached by continuous indicators. For example, subclinical mastitis of the dairy cow is evaluated using a continuous marker of udder inflammation, the somatic cell score (SCS). Consequently, this study proposed to analyze spatialized risk and cluster components of herd SCS through a new method based on a spatial hazard model. The dataset included annual SCS for 34 142 French dairy herds for the year 2000, and important SCS risk factors: mean parity, percentage of winter and spring calvings, and herd size. The model allowed the simultaneous estimation of the effects of known risk factors and of potential spatial clusters on SCS, and the mapping of the estimated clusters and their range. Mean parity and winter and spring calvings were significantly associated with subclinical mastitis risk. The model with the presence of 3 clusters was highly significant, and the 3 clusters were attractive, i.e. closeness to cluster center increased the occurrence of high SCS. The three localizations were the following: close to the city of Troyes in the northeast of France; around the city of Limoges in the center-west; and in the southwest close to the city of Tarbes. The semi-parametric method based on spatial hazard modeling applies to continuous variables, and takes account of both risk factors and potential heterogeneity of the background population. This tool allows a quantitative detection but assumes a spatially specified form for clusters.

  20. Wetting and Non-Wetting Models of Black Carbon Activation

    Science.gov (United States)

    Henson, B. F.; Laura, S.

    2006-12-01

    We present the results of recent modeling studies on the activation of black carbon (BC) aerosol to form cloud condensation nuclei (CCN). We use a model of BC activation based on a general modification of the Koehler equation for insoluble activation in which we introduce a term based on the activity of water adsorbed on the particle surface. We parameterize the model using the free energy of adsorption, a parameter directly comparable to laboratory measurements of water adsorption on carbon. Although the model of the water- surface interaction is general, the form of the activation equation that results depends upon a further model of the distribution of water on the particle. One possible model involves the symmetric growth of a water shell around the isoluble particle core (wetting). This model predicts upper and lower bounding curves for the activation supersaturation given by the range of water interaction energies from hydrophobic to hydrophilic which are in agreement with a large body of recent activation data. The resulting activation diameters are from 3 to 10 times smaller than activation of soluble particles of identical dry diameter. Another possible model involves an exluded liquid droplet growing in contact with the particle (non-wetting). The geometry of this model much more resembles classic assumptions of heterogeneous nucleation theory. This model can yield extremely high activation supersaturation as a function of diameter, as has been observed in some experiments, and enables calculations in agreement with some of these results. We discuss these two geometrical models of water growth, the different behaviors predicted by the resulting activation equation, and the means to determine which model of growth is appropriate for a given BC particle characterized by either water interaction energy or morphology. These simple models enable an efficient and physically reasonable means to calculate the activation of BC aerosol to form CCN based upon a

  1. Optimal pricing decision model based on activity-based costing

    Institute of Scientific and Technical Information of China (English)

    王福胜; 常庆芳

    2003-01-01

    In order to find out the applicability of the optimal pricing decision model based on conventional costbehavior model after activity-based costing has given strong shock to the conventional cost behavior model andits assumptions, detailed analyses have been made using the activity-based cost behavior and cost-volume-profitanalysis model, and it is concluded from these analyses that the theory behind the construction of optimal pri-cing decision model is still tenable under activity-based costing, but the conventional optimal pricing decisionmodel must be modified as appropriate to the activity-based costing based cost behavior model and cost-volume-profit analysis model, and an optimal pricing decision model is really a product pricing decision model construc-ted by following the economic principle of maximizing profit.

  2. K Indices of Magnetic Activity Relative to an assumed Quiet-day for each 3-Hour Period

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA National Centers for Environmental Information (formerly National Geophysical Data Center) receives the K indices on a current basis from approximately 85...

  3. Reflection of the Geomagnetic Activity Occurring in the Earth's Northern and Southern Hemisphere (KM, KN, KS Indices)

    Data.gov (United States)

    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, the KM, KN, KS indices from...

  4. Signal Modulation of Super Read Only Memory with Thermally Activated Aperture Model

    Science.gov (United States)

    Kim, June Seo; Kwak, Keumcheol; You, Chun-Yeol

    2008-07-01

    We describe the signal modulation of super read only memory (ROM) with thermally activated aperture model using a three-dimensional finite-difference time-domain method. The thermally activated aperture is modeled using a spatially varied refractive indices of the GeSbTe layer. No meaningful signal modulation is observed without thermally activated aperture below the resolution limit of 120 nm. When we open the thermally activated aperture by considering the temperature dependence of the refractive indices in the GeSbTe layer, the 2.8 and 1.7% signal modulations are observed for 120 and 80 nm pits, respectively. The experimentally observed signal modulation under the resolution limit can be explained using the thermally activated aperture model.

  5. Conceptual Model of Clinical Governance Information System for Statistical Indicators by Using UML in Two Sample Hospitals

    Science.gov (United States)

    Jeddi, Fatemeh Rangraz; Farzandipoor, Mehrdad; Arabfard, Masoud; Hosseini, Azam Haj Mohammad

    2016-01-01

    Objective: The purpose of this study was investigating situation and presenting a conceptual model for clinical governance information system by using UML in two sample hospitals. Background: However, use of information is one of the fundamental components of clinical governance; but unfortunately, it does not pay much attention to information management. Material and Methods: A cross sectional study was conducted in October 2012- May 2013. Data were gathered through questionnaires and interviews in two sample hospitals. Face and content validity of the questionnaire has been confirmed by experts. Data were collected from a pilot hospital and reforms were carried out and Final questionnaire was prepared. Data were analyzed by descriptive statistics and SPSS 16 software. Results: With the scenario derived from questionnaires, UML diagrams are presented by using Rational Rose 7 software. The results showed that 32.14 percent Indicators of the hospitals were calculated. Database was not designed and 100 percent of the hospital’s clinical governance was required to create a database. Conclusion: Clinical governance unit of hospitals to perform its mission, do not have access to all the needed indicators. Defining of Processes and drawing of models and creating of database are essential for designing of information systems. PMID:27147804

  6. Reinterpreting the Myers-Briggs Type Indicator from the perspective of the five-factor model of personality.

    Science.gov (United States)

    McCrae, R R; Costa, P T

    1989-03-01

    The Myers-Briggs Type Indicator (MBTI; Myers & McCaulley, 1985) was evaluated from the perspectives of Jung's theory of psychological types and the five-factor model of personality as measured by self-reports and peer ratings on the NEO Personality Inventory (NEO-PI; Costa & McCrae, 1985b). Data were provided by 267 men and 201 women ages 19 to 93. Consistent with earlier research and evaluations, there was no support for the view that the MBTI measures truly dichotomous preferences or qualitatively distinct types; instead, the instrument measures four relatively independent dimensions. The interpretation of the Judging-Perceiving index was also called into question. The data suggest that Jung's theory is either incorrect or inadequately operationalized by the MBTI and cannot provide a sound basis for interpreting it. However, correlational analyses showed that the four MBTI indices did measure aspects of four of the five major dimensions of normal personality. The five-factor model provides an alternative basis for interpreting MBTI findings within a broader, more commonly shared conceptual framework. PMID:2709300

  7. Comparing the cardiovascular therapeutic indices of glycopyrronium and tiotropium in an integrated rat pharmacokinetic, pharmacodynamic and safety model

    Energy Technology Data Exchange (ETDEWEB)

    Trifilieff, Alexandre; Ethell, Brian T. [Respiratory Disease Area, Novartis Institutes for Biomedical Research, Wimblehurst Road, Horsham, West Sussex RH12 5AB (United Kingdom); Sykes, David A. [Respiratory Disease Area, Novartis Institutes for Biomedical Research, Wimblehurst Road, Horsham, West Sussex RH12 5AB (United Kingdom); School of Life Sciences, Queen' s Medical Centre, University of Nottingham, Nottingham, NG7 2UH (United Kingdom); Watson, Kenny J.; Collingwood, Steve [Respiratory Disease Area, Novartis Institutes for Biomedical Research, Wimblehurst Road, Horsham, West Sussex RH12 5AB (United Kingdom); Charlton, Steven J. [Respiratory Disease Area, Novartis Institutes for Biomedical Research, Wimblehurst Road, Horsham, West Sussex RH12 5AB (United Kingdom); School of Life Sciences, Queen' s Medical Centre, University of Nottingham, Nottingham, NG7 2UH (United Kingdom); Kent, Toby C., E-mail: tobykent@me.com [Respiratory Disease Area, Novartis Institutes for Biomedical Research, Wimblehurst Road, Horsham, West Sussex RH12 5AB (United Kingdom)

    2015-08-15

    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 ED{sub 50} 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 M{sub 2} muscarinic receptor occupancy, which predicted significantly higher M{sub 2} receptor blockade at ED{sub 50} 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 ED{sub 50} doses for bronchoprotection we model systemic M{sub 2} receptor occupancy. • Glycopyrrolate demonstrates lower M

  8. The composition of cuticular compounds indicates body parts, sex and age in the model butterfly Bicyclus anynana (Lepidoptera

    Directory of Open Access Journals (Sweden)

    Stéphanie eHeuskin

    2014-07-01

    Full Text Available Chemical communication in insects’ sexual interactions is well-known to involve olfaction of volatile compounds called sex pheromones. In theory, sexual chemical communication may also involve chemicals with low or no volatility exchanged during precopulatory gustatory contacts. Yet, knowledge on this latter type of chemicals is so far mostly restricted to the Drosophila fly model. Here we provide the most comprehensive characterization to date of the cuticular chemical profile, including both volatile and non-volatile compounds, of a model butterfly, Bicyclus anynana. First, we characterized the body distribution of 103 cuticular lipids, mostly alkanes and methyl-branched alkanes, by gas chromatography coupled to mass spectrometry (GC-MS. Second, we developed a multivariate statistical approach to cope with such complex chemical profiles and showed that variation in the presence or abundance of a subset of the cuticular lipids indicated body parts, and traits involved in B. anynana mate choice, namely sex and age. Third, we identified the chemical structure of the 20 most indicative compounds, which were on average more abundant (1346.4 ± 1994.6 ng; mean ± SD than other, likely less indicative, compounds (225.9 ± 507.2 ng; mean ± SD. Fourth, we showed that wings and legs displayed most of the chemical information found on the entire body of the butterflies. Fifth, we showed that non-random gustatory contacts occurred between specific male and female body parts during courtship. The body parts mostly touched by the conspecific displayed the largest between-sex differentiation in cuticular composition. Altogether, the large diversity of cuticular lipids in B. anynana, which exceeds the one of Drosophila flies, and its non-random distribution and evaluation across individuals, together suggest that gustatory information is likely exchanged during sexual interactions in Lepidoptera.

  9. A Simultaneous Model to measure Academic and Financial Performances of Scientific Activities

    CERN Document Server

    Handoko, L T

    2005-01-01

    I propose a new model to measure simultaneously academic and financial performances of scientific activities quantitatively. The tool is very simple and can be applied to any branches of science, while it is also adjustable to varying macroeconomic indicators. I argue that implementing the model could realize a fair and objective decisionmaking and also reward and punishment system in order to improve the individual and institutional performances in scientific activities.

  10. Conceptual models and sustainable groundwater resource indicators as transfer tools to stakeholders of the Lake Champlain transboundary aquifer

    Science.gov (United States)

    Lefebvre, René; Rivard, Christine; Carrier, Marc-André; Parent, Michel; Laurencelle, Marc; Beaudry, Châtelaine; Martin, Alex; Bleser, Joshua; Lavoie, Roxane; Bourque, Édith; Ouellet, Michel

    2016-04-01

    aquifer units, confinement conditions, as well as recharge and discharge zones. The third representation provides information on groundwater quality and aquifer vulnerability. These conceptual models proved invaluable tools to clearly explain to water stakeholders basic hydrogeological facts and concepts as well as key issues pertaining to each of the regional contexts. To portray the state of groundwater resources in a more accessible way to water stakeholders, indicators of sustainable groundwater management were also produced on the basis of specialized hydrogeological maps and regional statistics. These indicators were based on the five objectives of sustainable management defined by the Canadian Council of Academies. Water stakeholders were consulted on the relevance and interest of indicators and their usability to identify key issues and priority action areas. Indicators were also found of interest as communication tools to better convey information about the state of groundwater resources to non-specialists. These indicators thus represent a basis for the development of a regional groundwater management plan. However, further efforts are needed to enhance the knowledge of stakeholders about groundwater resources and to develop a participative approach for the development of a regional groundwater management plan.

  11. Auroral Electrojet Indices Designed to Provide a Global Measure, 2.5-Minute Intervals, of Auroral Zone Magnetic Activity

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Auroral Electrojet index (AE) is designed to provide a global quantitative measure of auroral zone magnetic activity produced by enhanced ionospheric currents...

  12. Modelling an actively-cooled CPV system

    Science.gov (United States)

    Buonomano, A.; Mittelman, G.; Faiman, D.; Biryukov, S.; Melnichak, V.; Bukobza, D.; Kabalo, S.

    2012-10-01

    We have constructed a 7-node, 1-dimensional model of the heat flow in a water-cooled CPV receiver. The model is validated against data from a module exposed to solar irradiance at various concentrations up to 1,000X at the PETAL solar dish facility at Sede Boqer.

  13. Anticancer activities against cholangiocarcinoma, toxicity and pharmacological activities of Thai medicinal plants in animal models

    Directory of Open Access Journals (Sweden)

    Plengsuriyakarn Tullayakorn

    2012-03-01

    Full Text Available Abstract Background Chemotherapy of cholangiocarcinoma (CCA, a devastating cancer with increasing worldwide incidence and mortality rates, is largely ineffective. The discovery and development of effective chemotherapeutics is urgently needed. Methods/Design The study aimed at evaluating anticancer activities, toxicity, and pharmacological activities of the curcumin compound (CUR, the crude ethanolic extracts of rhizomes of Zingiber officinale Roscoe (Ginger: ZO and Atractylodes lancea thung. DC (Khod-Kha-Mao: AL, fruits of Piper chaba Hunt. (De-Plee: PC, and Pra-Sa-Prao-Yhai formulation (a mixture of parts of 18 Thai medicinal plants: PPF were investigated in animal models. Anti-cholangiocarcinoma (anti-CCA was assessed using CCA-xenograft nude mouse model. The antihypertensive, analgesic, anti-inflammatory, antipyretic, and anti-ulcer activities and effects on motor coordination were investigated using Rota-rod test, CODA tail-cuff system, writhing and hot plate tests, carrageenan-induced paw edema test, brewer's yeast test, and alcohol-induced gastric ulcer test, respectively. Acute and subacute toxicity tests were performed according to the OECD guideline for testing of chemicals with modification. Results Promising anticancer activity against CCA in nude mouse xenograft model was shown for the ethanolic extract of AL at all oral dose levels (1000, 3000, and 5000 mg/kg body weight as well as the extracts of ZO, PPF, and CUR compound at the highest dose level (5000, 4000, and 5000 mg/kg body weight, respectively. PC produced no significant anti-CCA activity. Results from acute and subacute toxicity tests both in mice and rats indicate safety profiles of all the test materials in a broad range of dose levels. No significant toxicity except stomach irritation and general CNS depressant signs were observed. Investigation of pharmacological activities of the test materials revealed promising anti-inflammatory (ZO, PPF, and AL, analgesic (CUR and

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

    OpenAIRE

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

    1991-01-01

    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 poly...

  15. Rodent model of activity-based anorexia.

    Science.gov (United States)

    Carrera, Olaia; Fraga, Ángela; Pellón, Ricardo; Gutiérrez, Emilio

    2014-04-10

    Activity-based anorexia (ABA) consists of a procedure that involves the simultaneous exposure of animals to a restricted feeding schedule, while free access is allowed to an activity wheel. Under these conditions, animals show a progressive increase in wheel running, a reduced efficiency in food intake to compensate for their increased activity, and a severe progression of weight loss. Due to the parallelism with the clinical manifestations of anorexia nervosa including increased activity, reduced food intake and severe weight loss, the ABA procedure has been proposed as the best analog of human anorexia nervosa (AN). Thus, ABA research could both allow a better understanding of the mechanisms underlying AN and generate useful leads for treatment development in AN.

  16. Wanted: Active Role Models for Today's Kids

    Science.gov (United States)

    ... be active," says Handles Franklin, one of the stars of the world-famous Harlem Globetrotters. "Something so ... More "Reducing Childhood Obesity" Articles Healthy Weight, Healthy Child / Get Involved How Parents and Kids Can Get ...

  17. THE EUROPEAN MODEL OF STATE REGULATION OF TOURISM ACTIVITIES

    OpenAIRE

    О. Davydova

    2013-01-01

    In the article the existing model of state regulation of the development of tourism. Expediency of the European model of state regulation of tourism development in Ukraine. It is noted that the European model of state regulation of tourism activities based on the coordination of marketing activities and the development of cooperation between the public and private sectors. The basic forms of public-private partnerships and the advantages of using cluster model of development of tourism, namel...

  18. Disease Activity in Psoriatic Arthritis: Comparison of the Discriminative Capacity and Construct Validity of Six Composite Indices in a Real World

    Directory of Open Access Journals (Sweden)

    Fausto Salaffi

    2014-01-01

    Full Text Available Objective. To compare, “in a real world,” the performance of the most common composite activity indices in a cohort of PsA patients. Methods. A total of 171 PsA patients were involved. The following variables were evaluated: peripheral joint assessment, patient reported of pain, physician and patient assessments of disease activity, patient general health status, dactylitis digit count, Leeds Enthesitis Index, Health Assessment Questionnaire (HAQ, physical and mental component summary score of the Medical Outcome Survey (SF-36, Psoriasis Area and Severity Index (PASI, Dermatology Life Quality Index, C-reactive protein (CRP, and erythrocyte sedimentation rate (ESR. To measure the disease activity, the Disease Activity Score (DAS28-ESR and DAS28-CRP, Simple Disease Activity Index (SDAI, Composite Psoriatic Disease Activity Index (CPDAI, disease activity in psoriatic arthritis (DAPSA, and Psoriatic Arthritis Disease Activity Score (PASDAS have been calculated. The criteria for minimal disease activity (MDA and remission were applied as external criterion. Results. The ROC were similar in all the composite measures. Only the CPDAI showed less discriminative ability. There was a high degree of correlation between all the indices (P<0.0001. The highest correlations were between DAPSA and SDAI (rho = 0.996 and between DAPSA and DAS28-CRP (rho = 0.957. CPDAI, DAPSA, and PASDAS had the most stringent definitions of remission and MDA category. DAS28-ESR and DAS28-CRP had the highest proportions in remission and MDA. Conclusions. Although a good concurrent validity and discriminant capacity of six disease activity indices were observed, the proportions of patients classified in the disease activity levels differed. In particular, the rate of patients in remission was clearly different among the respective indices.

  19. Irrigation Requirement Estimation using MODIS Vegetation Indices and Inverse Biophysical Modeling; A Case Study for Oran, Algeria

    Science.gov (United States)

    Bounoua, L.; Imhoff, M.L.; Franks, S.

    2008-01-01

    Human demand for food influences the water cycle through diversion and extraction of fresh water needed to support agriculture. Future population growth and economic development alone will substantially increase water demand and much of it for agricultural uses. For many semi-arid lands, socio-economic shifts are likely to exacerbate changes in climate as a driver of future water supply and demand. For these areas in particular, where the balance between water supply and demand is fragile, variations in regional climate can have potentially predictable effect on agricultural production. Satellite data and biophysically-based models provide a powerful method to quantify the interactions between local climate, plant growth and water resource requirements. In irrigated agricultural lands, satellite observations indicate high vegetation density while the precipitation amount indicates otherwise. This inconsistency between the observed precipitation and the observed canopy leaf density triggers the possibility that the observed high leaf density is due to an alternate source of water, irrigation. We explore an inverse process approach using observations from the Moderate Resolution Imaging Spectroradiometer (MODIS), climatological data, and the NASA's Simple Biosphere model, SiB2, to quantitatively assess water demand in a semi-arid agricultural land by constraining the carbon and water cycles modeled under both equilibrium (balance between vegetation and prevailing local climate) and nonequilibrium (water added through irrigation) conditions. We postulate that the degree to which irrigated lands vary from equilibrium conditions is related to the amount of irrigation water used. We added water using two distribution methods: The first method adds water on top of the canopy and is a proxy for the traditional spray irrigation. The second method allows water to be applied directly into the soil layer and serves as proxy for drip irrigation. Our approach indicates that over

  20. Active illumination and appearance model for face alignment

    DEFF Research Database (Denmark)

    Kahraman, Fatih; Gokmen, M.; Darkner, Sune;

    2010-01-01

    Active Illumination and Appearance Model (AIA) which combines identity, illumination and shape components in a single model and allows us to control them, separately. One of the major advantage of the proposed AIA model is that efficient model fitting is achieved, whilst maintaining performance against...