WorldWideScience

Sample records for profiles enables estimation

  1. Marine Profiles for OGC Sensor Web Enablement Standards

    Science.gov (United States)

    Jirka, Simon

    2016-04-01

    The use of OGC Sensor Web Enablement (SWE) standards in oceanology is increasing. Several projects are developing SWE-based infrastructures to ease the sharing of marine sensor data. This work ranges from developments on sensor level to efforts addressing interoperability of data flows between observatories and organisations. The broad range of activities using SWE standards leads to a risk of diverging approaches how the SWE specifications are applied. Because the SWE standards are designed in a domain independent manner, they intentionally offer a high degree of flexibility enabling implementation across different domains and usage scenarios. At the same time this flexibility allows one to achieve similar goals in different ways. To avoid interoperability issues, an agreement is needed on how to apply SWE concepts and how to use vocabularies in a common way that will be shared by different projects, implementations, and users. To address this need, partners from several projects and initiatives (AODN, BRIDGES, envri+, EUROFLEETS/EUROFLEETS2, FixO3, FRAM, IOOS, Jerico/Jerico-Next, NeXOS, ODIP/ODIP II, RITMARE, SeaDataNet, SenseOcean, X-DOMES) have teamed up to develop marine profiles of OGC SWE standards that can serve as a common basis for developments in multiple projects and organisations. The following aspects will be especially considered: 1.) Provision of metadata: For discovering sensors/instruments as well as observation data, to facilitate the interpretation of observations, and to integrate instruments in sensor platforms, the provision of metadata is crucial. Thus, a marine profile of the OGC Sensor Model Language 2.0 (SensorML 2.0) will be developed allowing to provide metadata for different levels (e.g. observatory, instrument, and detector) and sensor types. The latter will enable metadata of a specific type to be automatically inherited by all devices/sensors of the same type. The application of further standards such as OGC PUCK will benefit from

  2. Nano-enabled drug delivery: a research profile.

    Science.gov (United States)

    Zhou, Xiao; Porter, Alan L; Robinson, Douglas K R; Shim, Min Suk; Guo, Ying

    2014-07-01

    Nano-enabled drug delivery (NEDD) systems are rapidly emerging as a key area for nanotechnology application. Understanding the status and developmental prospects of this area around the world is important to determine research priorities, and to evaluate and direct progress. Global research publication and patent databases provide a reservoir of information that can be tapped to provide intelligence for such needs. Here, we present a process to allow for extraction of NEDD-related information from these databases by involving topical experts. This process incorporates in-depth analysis of NEDD literature review papers to identify key subsystems and major topics. We then use these to structure global analysis of NEDD research topical trends and collaborative patterns, inform future innovation directions. This paper describes the process of how to derive nano-enabled drug delivery-related information from global research and patent databases in an effort to perform comprehensive global analysis of research trends and directions, along with collaborative patterns. Copyright © 2014 Elsevier Inc. All rights reserved.

  3. nowCOAST's Map Service for NOAA Quantitative Precipitation Estimates (Time Enabled)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Map Information: This nowCOAST time-enabled map service provides maps depicting the NWS Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimate mosaics...

  4. A note on critical dimensions in profile semiparametric estimation

    OpenAIRE

    Andresen, Andreas

    2014-01-01

    This paper complements the results of Andresen et. al "Critical dimension in profile semiparametric estimation" (2014) on profile estimators in semiparametric models. We present two examples. One that illustrates that the smoothness constraint on the expected value of the contrast functional used to define the profile M-estimator is necessary for the bound derived for the critical ratio of dimension to sample size. A second one to show that in the case that the target dimension is proportiona...

  5. Covalent small-molecule-RNA complex formation enables cellular profiling of small-molecule-RNA interactions.

    Science.gov (United States)

    Guan, Lirui; Disney, Matthew D

    2013-09-16

    Won't let you go! A strategy is described to design small molecules that react with their cellular RNA targets. This approach not only improves the activity of compounds targeting RNA in cell culture by a factor of about 2500 but also enables cell-wide profiling of its RNA targets. Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  6. Developing an occupational skills profile for the emerging profession of "big-data-enabled professional"

    Science.gov (United States)

    Kastens, K. A.; Malyn-Smith, J.; Ippolito, J.; Krumhansl, R.

    2014-12-01

    In August of 2014, the Oceans of Data Institute at Education Development Center, Inc. (EDC) is convening an expert panel to begin the process of developing an occupational skills profile for the "big-data-enabled professional." We define such a professional as an "individual who works with large complex data sets on a regular basis, asking and answering questions, analyzing trends, and finding meaningful patterns, in order to increase the efficiency of processes, make decisions and predictions, solve problems, generate hypotheses, and/or develop new understandings." The expert panel includes several geophysicists, as well as data professionals from engineering, higher education, analytical journalism, forensics, bioinformatics, and telecommunications. Working with experienced facilitators, the expert panel will create a detailed synopsis of the tasks and responsibilities characteristic of their profession, as well as the skills, knowledge and behaviors that enable them to succeed in the workplace. After the panel finishes their work, the task matrix and associated narrative will be vetted and validated by a larger group of additional professionals, and then disseminated for use by educators and employers. The process we are using is called DACUM (Developing a Curriculum), adapted by EDC and optimized for emergent professions, such as the "big-data-enabled professional." DACUM is a well-established method for analyzing jobs and occupations, commonly used in technical fields to develop curriculum and training programs that reflect authentic work tasks found in scientific and technical workplaces. The premises behind the DACUM approach are that: expert workers are better able to describe their own occupation than anyone else; any job can be described in terms of the tasks that successful workers in the occupation perform; all tasks have direct implications for the knowledge, skills, understandings and attitudes that must be taught and learned in preparation for the

  7. Computation of nonparametric convex hazard estimators via profile methods.

    Science.gov (United States)

    Jankowski, Hanna K; Wellner, Jon A

    2009-05-01

    This paper proposes a profile likelihood algorithm to compute the nonparametric maximum likelihood estimator of a convex hazard function. The maximisation is performed in two steps: First the support reduction algorithm is used to maximise the likelihood over all hazard functions with a given point of minimum (or antimode). Then it is shown that the profile (or partially maximised) likelihood is quasi-concave as a function of the antimode, so that a bisection algorithm can be applied to find the maximum of the profile likelihood, and hence also the global maximum. The new algorithm is illustrated using both artificial and real data, including lifetime data for Canadian males and females.

  8. Computation of nonparametric convex hazard estimators via profile methods

    Science.gov (United States)

    Jankowski, Hanna K.; Wellner, Jon A.

    2010-01-01

    This paper proposes a profile likelihood algorithm to compute the nonparametric maximum likelihood estimator of a convex hazard function. The maximisation is performed in two steps: First the support reduction algorithm is used to maximise the likelihood over all hazard functions with a given point of minimum (or antimode). Then it is shown that the profile (or partially maximised) likelihood is quasi-concave as a function of the antimode, so that a bisection algorithm can be applied to find the maximum of the profile likelihood, and hence also the global maximum. The new algorithm is illustrated using both artificial and real data, including lifetime data for Canadian males and females. PMID:20300560

  9. Models for estimating photosynthesis parameters from in situ production profiles

    Science.gov (United States)

    Kovač, Žarko; Platt, Trevor; Sathyendranath, Shubha; Antunović, Suzana

    2017-12-01

    The rate of carbon assimilation in phytoplankton primary production models is mathematically prescribed with photosynthesis irradiance functions, which convert a light flux (energy) into a material flux (carbon). Information on this rate is contained in photosynthesis parameters: the initial slope and the assimilation number. The exactness of parameter values is crucial for precise calculation of primary production. Here we use a model of the daily production profile based on a suite of photosynthesis irradiance functions and extract photosynthesis parameters from in situ measured daily production profiles at the Hawaii Ocean Time-series station Aloha. For each function we recover parameter values, establish parameter distributions and quantify model skill. We observe that the choice of the photosynthesis irradiance function to estimate the photosynthesis parameters affects the magnitudes of parameter values as recovered from in situ profiles. We also tackle the problem of parameter exchange amongst the models and the effect it has on model performance. All models displayed little or no bias prior to parameter exchange, but significant bias following parameter exchange. The best model performance resulted from using optimal parameter values. Model formulation was extended further by accounting for spectral effects and deriving a spectral analytical solution for the daily production profile. The daily production profile was also formulated with time dependent growing biomass governed by a growth equation. The work on parameter recovery was further extended by exploring how to extract photosynthesis parameters from information on watercolumn production. It was demonstrated how to estimate parameter values based on a linearization of the full analytical solution for normalized watercolumn production and from the solution itself, without linearization. The paper complements previous works on photosynthesis irradiance models by analysing the skill and consistency of

  10. Estimating Planetary Boundary Layer Heights from NOAA Profiler Network Wind Profiler Data

    Science.gov (United States)

    Molod, Andrea M.; Salmun, H.; Dempsey, M

    2015-01-01

    An algorithm was developed to estimate planetary boundary layer (PBL) heights from hourly archived wind profiler data from the NOAA Profiler Network (NPN) sites located throughout the central United States. Unlike previous studies, the present algorithm has been applied to a long record of publicly available wind profiler signal backscatter data. Under clear conditions, summertime averaged hourly time series of PBL heights compare well with Richardson-number based estimates at the few NPN stations with hourly temperature measurements. Comparisons with clear sky reanalysis based estimates show that the wind profiler PBL heights are lower by approximately 250-500 m. The geographical distribution of daily maximum PBL heights corresponds well with the expected distribution based on patterns of surface temperature and soil moisture. Wind profiler PBL heights were also estimated under mostly cloudy conditions, and are generally higher than both the Richardson number based and reanalysis PBL heights, resulting in a smaller clear-cloudy condition difference. The algorithm presented here was shown to provide a reliable summertime climatology of daytime hourly PBL heights throughout the central United States.

  11. Estimating tropical vertical motion profile shapes from satellite observations

    Science.gov (United States)

    Back, L. E.; Handlos, Z.

    2013-12-01

    The vertical structure of tropical deep convection strongly influences interactions with larger scale circulations and climate. This research focuses on investigating this vertical structure and its relationship with mesoscale tropical weather states. We test the hypothesis that vertical motion shape varies in association with weather state type. We estimate mean state vertical motion profile shapes for six tropical weather states defined using cloud top pressure and optical depth properties from the International Satellite Cloud Climatology Project. The relationship between vertical motion and the dry static energy budget are utilized to set up a regression analysis that empirically determines two modes of variability in vertical motion from reanalysis data. We use these empirically determined modes, this relationship and surface convergence to estimate vertical motion profile shape from observations of satellite retrievals of rainfall and surface convergence. We find that vertical motion profile shapes vary systematically between different tropical weather states. The "isolated systems" regime exhibits a more ''bottom-heavy'' profile shape compared to the convective/thick cirrus and vigorous deep convective regimes, with maximum upward vertical motion occurring in the lower troposphere rather than the middle to upper troposphere. The variability we observe with our method does not coincide with that expected based on conventional ideas about how stratiform rain fraction and vertical motion are related.

  12. Estimating Volume, Biomass, and Carbon in Hedmark County, Norway Using a Profiling LiDAR

    Science.gov (United States)

    Nelson, Ross; Naesset, Erik; Gobakken, T.; Gregoire, T.; Stahl, G.

    2009-01-01

    A profiling airborne LiDAR is used to estimate the forest resources of Hedmark County, Norway, a 27390 square kilometer area in southeastern Norway on the Swedish border. One hundred five profiling flight lines totaling 9166 km were flown over the entire county; east-west. The lines, spaced 3 km apart north-south, duplicate the systematic pattern of the Norwegian Forest Inventory (NFI) ground plot arrangement, enabling the profiler to transit 1290 circular, 250 square meter fixed-area NFI ground plots while collecting the systematic LiDAR sample. Seven hundred sixty-three plots of the 1290 plots were overflown within 17.8 m of plot center. Laser measurements of canopy height and crown density are extracted along fixed-length, 17.8 m segments closest to the center of the ground plot and related to basal area, timber volume and above- and belowground dry biomass. Linear, nonstratified equations that estimate ground-measured total aboveground dry biomass report an R(sup 2) = 0.63, with an regression RMSE = 35.2 t/ha. Nonstratified model results for the other biomass components, volume, and basal area are similar, with R(sup 2) values for all models ranging from 0.58 (belowground biomass, RMSE = 8.6 t/ha) to 0.63. Consistently, the most useful single profiling LiDAR variable is quadratic mean canopy height, h (sup bar)(sub qa). Two-variable models typically include h (sup bar)(sub qa) or mean canopy height, h(sup bar)(sub a), with a canopy density or a canopy height standard deviation measure. Stratification by productivity class did not improve the nonstratified models, nor did stratification by pine/spruce/hardwood. County-wide profiling LiDAR estimates are reported, by land cover type, and compared to NFI estimates.

  13. Estimation of dynamic flux profiles from metabolic time series data

    Directory of Open Access Journals (Sweden)

    Chou I-Chun

    2012-07-01

    Full Text Available Abstract Background Advances in modern high-throughput techniques of molecular biology have enabled top-down approaches for the estimation of parameter values in metabolic systems, based on time series data. Special among them is the recent method of dynamic flux estimation (DFE, which uses such data not only for parameter estimation but also for the identification of functional forms of the processes governing a metabolic system. DFE furthermore provides diagnostic tools for the evaluation of model validity and of the quality of a model fit beyond residual errors. Unfortunately, DFE works only when the data are more or less complete and the system contains as many independent fluxes as metabolites. These drawbacks may be ameliorated with other types of estimation and information. However, such supplementations incur their own limitations. In particular, assumptions must be made regarding the functional forms of some processes and detailed kinetic information must be available, in addition to the time series data. Results The authors propose here a systematic approach that supplements DFE and overcomes some of its shortcomings. Like DFE, the approach is model-free and requires only minimal assumptions. If sufficient time series data are available, the approach allows the determination of a subset of fluxes that enables the subsequent applicability of DFE to the rest of the flux system. The authors demonstrate the procedure with three artificial pathway systems exhibiting distinct characteristics and with actual data of the trehalose pathway in Saccharomyces cerevisiae. Conclusions The results demonstrate that the proposed method successfully complements DFE under various situations and without a priori assumptions regarding the model representation. The proposed method also permits an examination of whether at all, to what degree, or within what range the available time series data can be validly represented in a particular functional format of

  14. A Diffusion-Based and Dynamic 3D-Printed Device That Enables Parallel in Vitro Pharmacokinetic Profiling of Molecules.

    Science.gov (United States)

    Lockwood, Sarah Y; Meisel, Jayda E; Monsma, Frederick J; Spence, Dana M

    2016-02-02

    The process of bringing a drug to market involves many steps, including the preclinical stage, where various properties of the drug candidate molecule are determined. These properties, which include drug absorption, distribution, metabolism, and excretion, are often displayed in a pharmacokinetic (PK) profile. While PK profiles are determined in animal models, in vitro systems that model in vivo processes are available, although each possesses shortcomings. Here, we present a 3D-printed, diffusion-based, and dynamic in vitro PK device. The device contains six flow channels, each with integrated porous membrane-based insert wells. The pores of these membranes enable drugs to freely diffuse back and forth between the flow channels and the inserts, thus enabling both loading and clearance portions of a standard PK curve to be generated. The device is designed to work with 96-well plate technology and consumes single-digit milliliter volumes to generate multiple PK profiles, simultaneously. Generation of PK profiles by use of the device was initially performed with fluorescein as a test molecule. Effects of such parameters as flow rate, loading time, volume in the insert well, and initial concentration of the test molecule were investigated. A prediction model was generated from this data, enabling the user to predict the concentration of the test molecule at any point along the PK profile within a coefficient of variation of ∼ 5%. Depletion of the analyte from the well was characterized and was determined to follow first-order rate kinetics, indicated by statistically equivalent (p > 0.05) depletion half-lives that were independent of the starting concentration. A PK curve for an approved antibiotic, levofloxacin, was generated to show utility beyond the fluorescein test molecule.

  15. Estimation of road profile variability from measured vehicle responses

    Science.gov (United States)

    Fauriat, W.; Mattrand, C.; Gayton, N.; Beakou, A.; Cembrzynski, T.

    2016-05-01

    When assessing the statistical variability of fatigue loads acting throughout the life of a vehicle, the question of the variability of road roughness naturally arises, as both quantities are strongly related. For car manufacturers, gathering information on the environment in which vehicles evolve is a long and costly but necessary process to adapt their products to durability requirements. In the present paper, a data processing algorithm is proposed in order to estimate the road profiles covered by a given vehicle, from the dynamic responses measured on this vehicle. The algorithm based on Kalman filtering theory aims at solving a so-called inverse problem, in a stochastic framework. It is validated using experimental data obtained from simulations and real measurements. The proposed method is subsequently applied to extract valuable statistical information on road roughness from an existing load characterisation campaign carried out by Renault within one of its markets.

  16. Apparent diffusion profile estimation from high angular resolution diffusion images

    Science.gov (United States)

    Descoteaux, Maxime; Angelino, Elaine; Fitzgibbons, Shaun; Deriche, Rachid

    2006-03-01

    High angular resolution diffusion imaging (HARDI) has recently been of great interest to characterize non-Gaussian diffusion process. In the white matter of the brain, this occurs when fiber bundles cross, kiss or diverge within the same voxel. One of the important goal is to better describe the apparent diffusion process in these multiple fiber regions, thus overcoming the limitations of classical diffusion tensor imaging (DTI). In this paper, we design the appropriate mathematical tools to describe noisy HARDI data. Using a meaningful modified spherical harmonics basis to capture the physical constraints of the problem, we propose a new regularization algorithm to estimate a smoother and closer diffusivity profile to the true diffusivities without noise. We exploit properties of the spherical harmonics to define a smoothing term based on the Laplace-Beltrami for functions defined on the unit sphere. An additional contribution of the paper is the derivation of the general transformation taking the spherical harmonics coefficients to the high order tensor independent elements. This allows the careful study of the state of the art high order anisotropy measures computed from either spherical harmonics or tensor coefficients. We analyze their ability to characterize the underlying diffusion process. We are able to recover voxels with isotropic, single fiber anisotropic and multiple fiber anisotropic diffusion. We test and validate the approach on diffusion profiles from synthetic data and from a biological rat phantom.

  17. Personalized proteomic profiles enabled by advances in mass spectrometry-based proteomics

    NARCIS (Netherlands)

    Cristobal Gonzalez de Durana, A.|info:eu-repo/dai/nl/338769706

    2017-01-01

    The major aim of the work presented in this thesis was to generate personalized proteomics profiles by improving the chromatographic aspects of the proteomic experiment. In the first chapter an overview of proteomics is given and several practical aspects of a proteomic workflow are highlighted. An

  18. Total cost estimation for implementing genome-enabled selection in a multi-level swine production system.

    Science.gov (United States)

    Abell, Caitlyn E; Dekkers, Jack C M; Rothschild, Max F; Mabry, John W; Stalder, Kenneth J

    2014-05-19

    Determining an animal's genetic merit using genomic information can improve estimated breeding value (EBV) accuracy; however, the magnitude of the accuracy improvement must be large enough to recover the costs associated with implementing genome-enabled selection. One way to reduce costs is to genotype nucleus herd selection candidates using a low-density chip and to use high-density chip genotyping for animals that are used as parents in the nucleus breeding herd. The objective of this study was to develop a tool to estimate the cost structure associated with incorporating genome-enabled selection into multi-level commercial breeding programs. For the purpose of this deterministic study, it was assumed that a commercial pig is created from a terminal line sire and a dam that is a cross between two maternal lines. It was also assumed that all male and female selection candidates from the 1000 sow maternal line nucleus herds were genotyped at low density and all animals used for breeding at high density. With the assumptions used in this analysis, it was estimated that genome-enabled selection costs for a maternal line would be approximately US$0.082 per weaned pig in the commercial production system. A total of US$0.164 per weaned pig is needed to incorporate genome-enabled selection into the two maternal lines. Similarly, for a 600 sow terminal line nucleus herd and genotyping only male selection candidates with the low-density panel, the cost per weaned pig in the commercial herd was estimated to be US$0.044. This means that US$0.21 per weaned pig produced at the commercial level and sired by boars obtained from the nucleus herd breeding program needs to be added to the genetic merit value in order to break even on the additional cost required when genome-enabled selection is used in both maternal lines and the terminal line. By modifying the input values, such as herd size and genotyping strategy, a flexible spreadsheet tool developed from this work can be used

  19. Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems

    Directory of Open Access Journals (Sweden)

    J. J. Rath

    2014-01-01

    Full Text Available The estimation of road excitation profile is important for evaluation of vehicle stability and vehicle suspension performance for autonomous vehicle control systems. In this work, the nonlinear dynamics of the active automotive system that is excited by the unknown road excitation profile are considered for modeling. To address the issue of estimation of road profile, we develop an adaptive supertwisting observer for state and unknown road profile estimation. Under Lipschitz conditions for the nonlinear functions, the convergence of the estimation error is proven. Simulation results with Ford Fiesta MK2 demonstrate the effectiveness of the proposed observer for state and unknown input estimation for nonlinear active suspension system.

  20. Improved Estimates of Moments and Winds from Radar Wind Profiler

    Energy Technology Data Exchange (ETDEWEB)

    Helmus, Jonathan [Argonne National Lab. (ANL), Argonne, IL (United States); Ghate, Virendra P. [Argonne National Lab. (ANL), Argonne, IL (United States)

    2017-01-02

    The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) operates nine radar wind profilers (RWP) across its sites. These RWPs operate at 915 MHz or 1290 MHz frequency and report the first three moments of the Doppler spectrum. The operational settings of the RWP were modified in summer, 2015 to have single pulse length setting for the wind mode and two pulse length settings for the precipitation mode. The moments data collected during the wind mode are used to retrieve horizontal winds. The vendor-reported winds are available at variable time resolution (10 mins, 60 mins, etc.) and contain a significant amount of contamination due to noise and clutter. In this data product we have recalculated the moments and the winds from the raw radar Doppler spectrum and have made efforts to mitigate the contamination due to instrument noise in the wind estimates. Additionally, the moments and wind data has been reported in a harmonized layout identical for all locations and sites.

  1. A versatile protein microarray platform enabling antibody profiling against denatured proteins.

    Science.gov (United States)

    Wang, Jie; Barker, Kristi; Steel, Jason; Park, Jin; Saul, Justin; Festa, Fernanda; Wallstrom, Garrick; Yu, Xiaobo; Bian, Xiaofang; Anderson, Karen S; Figueroa, Jonine D; LaBaer, Joshua; Qiu, Ji

    2013-06-01

    We aim to develop a protein microarray platform capable of presenting both natural and denatured forms of proteins for antibody biomarker discovery. We will further optimize plasma screening protocols to improve detection. We developed a new covalent capture protein microarray chemistry using HaloTag fusion proteins and ligand. To enhance protein yield, we used HeLa cell lysate as an in vitro transcription translation (IVTT) system. Escherichia coli lysates were added to the plasma blocking buffer to reduce nonspecific background. These protein microarrays were probed with plasma samples and autoantibody responses were quantified and compared with or without denaturing buffer treatment. We demonstrated that protein microarrays using the covalent attachment chemistry endured denaturing conditions. Blocking with E. coli lysates greatly reduced the background signals and expression with IVTT based on HeLa cell lysates significantly improved the antibody signals on protein microarrays probed with plasma samples. Plasma samples probed on denatured protein arrays produced autoantibody profiles distinct from those probed on natively displayed proteins. This versatile protein microarray platform allows the display of both natural and denatured proteins, offers a new dimension to search for disease-specific antibodies, broadens the repertoire of potential biomarkers, and will potentially yield clinical diagnostics with greater performance. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  2. miRNA expression profiling enables risk stratification in archived and fresh neuroblastoma tumor samples.

    Science.gov (United States)

    De Preter, Katleen; Mestdagh, Pieter; Vermeulen, Joëlle; Zeka, Fjoralba; Naranjo, Arlene; Bray, Isabella; Castel, Victoria; Chen, Caifu; Drozynska, Elzbieta; Eggert, Angelika; Hogarty, Michael D; Izycka-Swieszewska, Ewa; London, Wendy B; Noguera, Rosa; Piqueras, Marta; Bryan, Kenneth; Schowe, Benjamin; van Sluis, Peter; Molenaar, Jan J; Schramm, Alexander; Schulte, Johannes H; Stallings, Raymond L; Versteeg, Rogier; Laureys, Geneviève; Van Roy, Nadine; Speleman, Frank; Vandesompele, Jo

    2011-12-15

    More accurate assessment of prognosis is important to further improve the choice of risk-related therapy in neuroblastoma (NB) patients. In this study, we aimed to establish and validate a prognostic miRNA signature for children with NB and tested it in both fresh frozen and archived formalin-fixed paraffin-embedded (FFPE) samples. Four hundred-thirty human mature miRNAs were profiled in two patient subgroups with maximally divergent clinical courses. Univariate logistic regression analysis was used to select miRNAs correlating with NB patient survival. A 25-miRNA gene signature was built using 51 training samples, tested on 179 test samples, and validated on an independent set of 304 fresh frozen tumor samples and 75 archived FFPE samples. The 25-miRNA signature significantly discriminates the test patients with respect to progression-free and overall survival (P < 0.0001), both in the overall population and in the cohort of high-risk patients. Multivariate analysis indicates that the miRNA signature is an independent predictor of patient survival after controlling for current risk factors. The results were confirmed in an external validation set. In contrast to a previously published mRNA classifier, the 25-miRNA signature was found to be predictive for patient survival in a set of 75 FFPE neuroblastoma samples. In this study, we present the largest NB miRNA expression study so far, including more than 500 NB patients. We established and validated a robust miRNA classifier, able to identify a cohort of high-risk NB patients at greater risk for adverse outcome using both fresh frozen and archived material. ©2011 AACR.

  3. Market projections of cellulose nanomaterial-enabled products-- Part 2: Volume estimates

    Science.gov (United States)

    John Cowie; E.M. (Ted) Bilek; Theodore H. Wegner; Jo Anne Shatkin

    2014-01-01

    Nanocellulose has enormous potential to provide an important materials platform in numerous product sectors. This study builds on previous work by the same authors in which likely high-volume, low-volume, and novel applications for cellulosic nanomaterials were identified. In particular, this study creates a transparent methodology and estimates the potential annual...

  4. Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak.

    Science.gov (United States)

    Chunara, Rumi; Andrews, Jason R; Brownstein, John S

    2012-01-01

    During infectious disease outbreaks, data collected through health institutions and official reporting structures may not be available for weeks, hindering early epidemiologic assessment. By contrast, data from informal media are typically available in near real-time and could provide earlier estimates of epidemic dynamics. We assessed correlation of volume of cholera-related HealthMap news media reports, Twitter postings, and government cholera cases reported in the first 100 days of the 2010 Haitian cholera outbreak. Trends in volume of informal sources significantly correlated in time with official case data and was available up to 2 weeks earlier. Estimates of the reproductive number ranged from 1.54 to 6.89 (informal sources) and 1.27 to 3.72 (official sources) during the initial outbreak growth period, and 1.04 to 1.51 (informal) and 1.06 to 1.73 (official) when Hurricane Tomas afflicted Haiti. Informal data can be used complementarily with official data in an outbreak setting to get timely estimates of disease dynamics.

  5. State of health battery estimator enabling degradation diagnosis: Model and algorithm description

    Science.gov (United States)

    Dubarry, Matthieu; Berecibar, M.; Devie, A.; Anseán, D.; Omar, N.; Villarreal, I.

    2017-08-01

    This paper presents a novel approach for automated state of health estimation that offers similar advantages to the adaptive methods without being computation intensive. The onboard diagnosis uses a look-up table compiling the evolution of selected features of interest under any possible degradation paths. The look-up table is built from simulations of the impact of degradation on the cell electrochemical behavior. This multi-step method only requires intensive calculations prior to deployment. This approach is validated by experimental data from cells that underwent normal aging as well as plating and overcharge. Additional validation via modeling showed that the method is able to diagnose cells undergoing any degradation scenario automatically in close to 90% of cases.

  6. Optimized Estimation of Surface Layer Characteristics from Profiling Measurements

    Directory of Open Access Journals (Sweden)

    Doreene Kang

    2016-01-01

    Full Text Available New sampling techniques such as tethered-balloon-based measurements or small unmanned aerial vehicles are capable of providing multiple profiles of the Marine Atmospheric Surface Layer (MASL in a short time period. It is desirable to obtain surface fluxes from these measurements, especially when direct flux measurements are difficult to obtain. The profiling data is different from the traditional mean profiles obtained at two or more fixed levels in the surface layer from which surface fluxes of momentum, sensible heat, and latent heat are derived based on Monin-Obukhov Similarity Theory (MOST. This research develops an improved method to derive surface fluxes and the corresponding MASL mean profiles of wind, temperature, and humidity with a least-squares optimization method using the profiling measurements. This approach allows the use of all available independent data. We use a weighted cost function based on the framework of MOST with the cost being optimized using a quasi-Newton method. This approach was applied to seven sets of data collected from the Monterey Bay. The derived fluxes and mean profiles show reasonable results. An empirical bias analysis is conducted using 1000 synthetic datasets to evaluate the robustness of the method.

  7. Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG.

    Science.gov (United States)

    Krishnaswamy, Pavitra; Obregon-Henao, Gabriel; Ahveninen, Jyrki; Khan, Sheraz; Babadi, Behtash; Iglesias, Juan Eugenio; Hämäläinen, Matti S; Purdon, Patrick L

    2017-11-14

    Subcortical structures play a critical role in brain function. However, options for assessing electrophysiological activity in these structures are limited. Electromagnetic fields generated by neuronal activity in subcortical structures can be recorded noninvasively, using magnetoencephalography (MEG) and electroencephalography (EEG). However, these subcortical signals are much weaker than those generated by cortical activity. In addition, we show here that it is difficult to resolve subcortical sources because distributed cortical activity can explain the MEG and EEG patterns generated by deep sources. We then demonstrate that if the cortical activity is spatially sparse, both cortical and subcortical sources can be resolved with M/EEG. Building on this insight, we develop a hierarchical sparse inverse solution for M/EEG. We assess the performance of this algorithm on realistic simulations and auditory evoked response data, and show that thalamic and brainstem sources can be correctly estimated in the presence of cortical activity. Our work provides alternative perspectives and tools for characterizing electrophysiological activity in subcortical structures in the human brain. Copyright © 2017 the Author(s). Published by PNAS.

  8. Revised prediction (estimation) of Cape Kennedy, Florida, wind speed profile

    Science.gov (United States)

    Guttman, N. B.; Crutcher, H. L.

    1975-01-01

    The prediction of the wind profile maximum speed at Cape Kennedy, Florida, is made for any selected calendar data. The prediction is based on a normal probability distribution model with 15 years of smoothed input data and is static in the sense that no dynamic principles of persistence or synoptic features are considered. Comparison with similar predictions based on 6 years of data shows the same general pattern, but the variability decreased with the increase of sample size.

  9. Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction.

    Science.gov (United States)

    Abelin, Jennifer G; Keskin, Derin B; Sarkizova, Siranush; Hartigan, Christina R; Zhang, Wandi; Sidney, John; Stevens, Jonathan; Lane, William; Zhang, Guang Lan; Eisenhaure, Thomas M; Clauser, Karl R; Hacohen, Nir; Rooney, Michael S; Carr, Steven A; Wu, Catherine J

    2017-02-21

    Identification of human leukocyte antigen (HLA)-bound peptides by liquid chromatography-tandem mass spectrometry (LC-MS/MS) is poised to provide a deep understanding of rules underlying antigen presentation. However, a key obstacle is the ambiguity that arises from the co-expression of multiple HLA alleles. Here, we have implemented a scalable mono-allelic strategy for profiling the HLA peptidome. By using cell lines expressing a single HLA allele, optimizing immunopurifications, and developing an application-specific spectral search algorithm, we identified thousands of peptides bound to 16 different HLA class I alleles. These data enabled the discovery of subdominant binding motifs and an integrative analysis quantifying the contribution of factors critical to epitope presentation, such as protein cleavage and gene expression. We trained neural-network prediction algorithms with our large dataset (>24,000 peptides) and outperformed algorithms trained on datasets of peptides with measured affinities. We thus demonstrate a strategy for systematically learning the rules of endogenous antigen presentation. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. A Mathematical Technique for Estimating True Temperature Profiles of Data Obtained from Long Time Constant Thermocouples

    National Research Council Canada - National Science Library

    Young, Graeme

    1998-01-01

    A mathematical modeling technique is described for estimating true temperature profiles of data obtained from long time constant thermocouples, which were used in fuel fire tests designed to determine...

  11. Soil profile property estimation with field and laboratory VNIR spectroscopy

    Science.gov (United States)

    Diffuse reflectance spectroscopy (DRS) soil sensors have the potential to provide rapid, high-resolution estimation of multiple soil properties. Although many studies have focused on laboratory-based visible and near-infrared (VNIR) spectroscopy of dried soil samples, previous work has demonstrated ...

  12. Dark personality profiles: Estimating the cluster structure of the Dark Triad.

    Science.gov (United States)

    Garcia, Danilo; MacDonald, Shane

    2017-09-01

    We estimated the number of possible dark personality profiles in a large population (N = 18,088) using a subtractive clustering method, which suggested three cluster or dark personality profiles: high malevolent, intermediate malevolent, and low malevolent or benevolent. While the three profiles differed significantly in each dark trait, there was a considerably large cluster overlap. © 2017 The Institute of Psychology, Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.

  13. Cognitive profiles and heritability estimates in the Old Order Amish.

    Science.gov (United States)

    Kuehner, Ryan M; Kochunov, Peter; Nugent, Katie L; Jurius, Deanna E; Savransky, Anya; Gaudiot, Christopher; Bruce, Heather A; Gold, James; Shuldiner, Alan R; Mitchell, Braxton D; Hong, L Elliot

    2016-08-01

    This study aimed to establish the applicability of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) in the Old Order Amish (OOA) and to assess the genetic contribution toward the RBANS total score and its cognitive domains using a large family-based sample of OOA. RBANS data were collected in 103 OOA individuals from Lancaster County, Pennsylvania, including 85 individuals without psychiatric illness and 18 individuals with current psychiatric diagnoses. The RBANS total score and all five cognitive domains of in nonpsychiatric OOA were within half a SD of the normative data of the general population. The RBANS total score was highly heritable (h=0.51, P=0.019). OOA with psychiatric diagnoses had a numerically lower RBANS total score and domain scores compared with the nonpsychiatric participants. The RBANS appears to be a suitable cognitive battery for the OOA population as measurements obtained from the OOA are comparable with normative data in the US population. The heritability estimated from the OOA is in line with heritabilities of other cognitive batteries estimated in other populations. These results support the use of RBANS in cognitive assessment, clinical care, and behavioral genetic studies of neuropsychological functioning in this population.

  14. Integration based profile likelihood calculation for PDE constrained parameter estimation problems

    Science.gov (United States)

    Boiger, R.; Hasenauer, J.; Hroß, S.; Kaltenbacher, B.

    2016-12-01

    Partial differential equation (PDE) models are widely used in engineering and natural sciences to describe spatio-temporal processes. The parameters of the considered processes are often unknown and have to be estimated from experimental data. Due to partial observations and measurement noise, these parameter estimates are subject to uncertainty. This uncertainty can be assessed using profile likelihoods, a reliable but computationally intensive approach. In this paper, we present the integration based approach for the profile likelihood calculation developed by (Chen and Jennrich 2002 J. Comput. Graph. Stat. 11 714-32) and adapt it to inverse problems with PDE constraints. While existing methods for profile likelihood calculation in parameter estimation problems with PDE constraints rely on repeated optimization, the proposed approach exploits a dynamical system evolving along the likelihood profile. We derive the dynamical system for the unreduced estimation problem, prove convergence and study the properties of the integration based approach for the PDE case. To evaluate the proposed method, we compare it with state-of-the-art algorithms for a simple reaction-diffusion model for a cellular patterning process. We observe a good accuracy of the method as well as a significant speed up as compared to established methods. Integration based profile calculation facilitates rigorous uncertainty analysis for computationally demanding parameter estimation problems with PDE constraints.

  15. Accurate and robust phylogeny estimation based on profile distances: a study of the Chlorophyceae (Chlorophyta

    Directory of Open Access Journals (Sweden)

    Rahmann Sven

    2004-06-01

    Full Text Available Abstract Background In phylogenetic analysis we face the problem that several subclade topologies are known or easily inferred and well supported by bootstrap analysis, but basal branching patterns cannot be unambiguously estimated by the usual methods (maximum parsimony (MP, neighbor-joining (NJ, or maximum likelihood (ML, nor are they well supported. We represent each subclade by a sequence profile and estimate evolutionary distances between profiles to obtain a matrix of distances between subclades. Results Our estimator of profile distances generalizes the maximum likelihood estimator of sequence distances. The basal branching pattern can be estimated by any distance-based method, such as neighbor-joining. Our method (profile neighbor-joining, PNJ then inherits the accuracy and robustness of profiles and the time efficiency of neighbor-joining. Conclusions Phylogenetic analysis of Chlorophyceae with traditional methods (MP, NJ, ML and MrBayes reveals seven well supported subclades, but the methods disagree on the basal branching pattern. The tree reconstructed by our method is better supported and can be confirmed by known morphological characters. Moreover the accuracy is significantly improved as shown by parametric bootstrap.

  16. Nonparametric estimates of drift and diffusion profiles via Fokker-Planck algebra.

    Science.gov (United States)

    Lund, Steven P; Hubbard, Joseph B; Halter, Michael

    2014-11-06

    Diffusion processes superimposed upon deterministic motion play a key role in understanding and controlling the transport of matter, energy, momentum, and even information in physics, chemistry, material science, biology, and communications technology. Given functions defining these random and deterministic components, the Fokker-Planck (FP) equation is often used to model these diffusive systems. Many methods exist for estimating the drift and diffusion profiles from one or more identifiable diffusive trajectories; however, when many identical entities diffuse simultaneously, it may not be possible to identify individual trajectories. Here we present a method capable of simultaneously providing nonparametric estimates for both drift and diffusion profiles from evolving density profiles, requiring only the validity of Langevin/FP dynamics. This algebraic FP manipulation provides a flexible and robust framework for estimating stationary drift and diffusion coefficient profiles, is not based on fluctuation theory or solved diffusion equations, and may facilitate predictions for many experimental systems. We illustrate this approach on experimental data obtained from a model lipid bilayer system exhibiting free diffusion and electric field induced drift. The wide range over which this approach provides accurate estimates for drift and diffusion profiles is demonstrated through simulation.

  17. Combining Satellite Microwave Radiometer and Radar Observations to Estimate Atmospheric Latent Heating Profiles

    Science.gov (United States)

    Grecu, Mircea; Olson, William S.; Shie, Chung-Lin; L'Ecuyer, Tristan S.; Tao, Wei-Kuo

    2009-01-01

    In this study, satellite passive microwave sensor observations from the TRMM Microwave Imager (TMI) are utilized to make estimates of latent + eddy sensible heating rates (Q1-QR) in regions of precipitation. The TMI heating algorithm (TRAIN) is calibrated, or "trained" using relatively accurate estimates of heating based upon spaceborne Precipitation Radar (PR) observations collocated with the TMI observations over a one-month period. The heating estimation technique is based upon a previously described Bayesian methodology, but with improvements in supporting cloud-resolving model simulations, an adjustment of precipitation echo tops to compensate for model biases, and a separate scaling of convective and stratiform heating components that leads to an approximate balance between estimated vertically-integrated condensation and surface precipitation. Estimates of Q1-QR from TMI compare favorably with the PR training estimates and show only modest sensitivity to the cloud-resolving model simulations of heating used to construct the training data. Moreover, the net condensation in the corresponding annual mean satellite latent heating profile is within a few percent of the annual mean surface precipitation rate over the tropical and subtropical oceans where the algorithm is applied. Comparisons of Q1 produced by combining TMI Q1-QR with independently derived estimates of QR show reasonable agreement with rawinsonde-based analyses of Q1 from two field campaigns, although the satellite estimates exhibit heating profile structure with sharper and more intense heating peaks than the rawinsonde estimates. 2

  18. Model-based estimation of optimal temperature profile during simultaneous saccharification and fermentation of Arundo donax.

    Science.gov (United States)

    Mutturi, Sarma; Lidén, Gunnar

    2014-05-01

    A kinetic model fitted to enzymatic hydrolysis of Arundo donax was coupled to a fermentation kinetic model derived from simultaneous saccharification and fermentation (SSF) experiments at different temperatures for the determination of optimal temperature profile (between 36 and 45°C) using iterative dynamic programming (IDP). A sensitivity analysis of enzyme kinetic model not only facilitated model reduction in terms of number of parameters, but also enabled artifacts from parameter estimations to be identified. In separate fermentation experiments conducted at 35, 40, 45, and 50°C using ∼40 g/L background glucose in fiber-free liquid fraction of Arundo it was found that growth was possible at 40°C, but the fermentation capacity was completely lost after 12 h at 50°C. The final ethanol concentration obtained after 120 h in isothermal SSF experiments at 36, 39, 42, and 45°C were 10.6, 13.7, 14.2, and 12.5 g/L, respectively. The predicted optimal temperature profile in SSF determined by iterative dynamic programming was (i) gradual decrease from 40 to 37.5°C until 16 h, (ii) a linear increase upto 45°C until 80 h, and (iii) gradual decrease by 1°C until 120 h. Experimental results were in good agreement with the model predictions. The ethanol concentration after 72 h obtained in the optimal case was 13.6 g/L in comparison to 9.1, 12.2, 12.6, and 11.6 g/L for ISO-SSF at 36, 39, 42, and 45°C, respectively. Moreover this value was 95.8% of the final value achieved at the end of 120 h, indicating that the process times could be significantly shortened by using non-isothermal SSF. © 2013 Wiley Periodicals, Inc.

  19. Groundwater flow estimation using temperature-depth profiles in a complex environment and a changing climate.

    Science.gov (United States)

    Irvine, Dylan J; Kurylyk, Barret L; Cartwright, Ian; Bonham, Mariah; Post, Vincent E A; Banks, Eddie W; Simmons, Craig T

    2017-01-01

    Obtaining reliable estimates of vertical groundwater flows remains a challenge but is of critical importance to the management of groundwater resources. When large scale land clearing or groundwater extraction occurs, methods based on water table fluctuations or water chemistry are unreliable. As an alternative, a number of methods based on temperature-depth (T-z) profiles are available to provide vertical groundwater flow estimates from which recharge rates may be calculated. However, methods that invoke steady state assumptions have been shown to be inappropriate for sites that have experienced land surface warming. Analytical solutions that account for surface warming are available, but they typically include unrealistic or restrictive assumptions (e.g. no flow initial conditions or linear surface warming). Here, we use a new analytical solution and associated computer program (FAST) that provides flexible initial and boundary conditions to estimate fluxes using T-z profiles from the Willunga Super Science Site, a complex, but densely instrumented groundwater catchment in South Australia. T-z profiles from seven wells (ranging from high elevation to near sea level) were utilised, in addition to mean annual air temperatures at nearby weather stations to estimate boundary conditions, and thermal properties were estimated from down borehole geophysics. Temperature based flux estimates were 5 to 23mmy-1, which are similar to those estimated using chloride mass balance. This study illustrates that T-z profiles can be studied to estimate recharge in environments where more commonly applied methods fail. Copyright © 2016 Elsevier B.V. All rights reserved.

  20. Estimation of seabed shear-wave velocity profiles using shear-wave source data.

    Science.gov (United States)

    Dong, Hefeng; Nguyen, Thanh-Duong; Duffaut, Kenneth

    2013-07-01

    This paper estimates seabed shear-wave velocity profiles and their uncertainties using interface-wave dispersion curves extracted from data generated by a shear-wave source. The shear-wave source generated a seismic signature over a frequency range between 2 and 60 Hz and was polarized in both in-line and cross-line orientations. Low-frequency Scholte- and Love-waves were recorded. Dispersion curves of the Scholte- and Love-waves for the fundamental mode and higher-order modes are extracted by three time-frequency analysis methods. Both the vertically and horizontally polarized shear-wave velocity profiles in the sediment are estimated by the Scholte- and Love-wave dispersion curves, respectively. A Bayesian approach is utilized for the inversion. Differential evolution, a global search algorithm is applied to estimate the most-probable shear-velocity models. Marginal posterior probability profiles are computed by Metropolis-Hastings sampling. The estimated vertically and horizontally polarized shear-wave velocity profiles fit well with the core and in situ measurements.

  1. Postmortem interval estimation: a novel approach utilizing gas chromatography/mass spectrometry-based biochemical profiling.

    Science.gov (United States)

    Kaszynski, Richard H; Nishiumi, Shin; Azuma, Takeshi; Yoshida, Masaru; Kondo, Takeshi; Takahashi, Motonori; Asano, Migiwa; Ueno, Yasuhiro

    2016-05-01

    While the molecular mechanisms underlying postmortem change have been exhaustively investigated, the establishment of an objective and reliable means for estimating postmortem interval (PMI) remains an elusive feat. In the present study, we exploit low molecular weight metabolites to estimate postmortem interval in mice. After sacrifice, serum and muscle samples were procured from C57BL/6J mice (n = 52) at seven predetermined postmortem intervals (0, 1, 3, 6, 12, 24, and 48 h). After extraction and isolation, low molecular weight metabolites were measured via gas chromatography/mass spectrometry (GC/MS) and examined via semi-quantification studies. Then, PMI prediction models were generated for each of the 175 and 163 metabolites identified in muscle and serum, respectively, using a non-linear least squares curve fitting program. A PMI estimation panel for muscle and serum was then erected which consisted of 17 (9.7%) and 14 (8.5%) of the best PMI biomarkers identified in muscle and serum profiles demonstrating statistically significant correlations between metabolite quantity and PMI. Using a single-blinded assessment, we carried out validation studies on the PMI estimation panels. Mean ± standard deviation for accuracy of muscle and serum PMI prediction panels was -0.27 ± 2.88 and -0.89 ± 2.31 h, respectively. Ultimately, these studies elucidate the utility of metabolomic profiling in PMI estimation and pave the path toward biochemical profiling studies involving human samples.

  2. Defect profile estimation from magnetic flux leakage signal via efficient managing particle swarm optimization.

    Science.gov (United States)

    Han, Wenhua; Xu, Jun; Wang, Ping; Tian, Guiyun

    2014-06-12

    In this paper, efficient managing particle swarm optimization (EMPSO) for high dimension problem is proposed to estimate defect profile from magnetic flux leakage (MFL) signal. In the proposed EMPSO, in order to strengthen exchange of information among particles, particle pair model was built. For more efficient searching when facing different landscapes of problems, velocity updating scheme including three velocity updating models was also proposed. In addition, for more chances to search optimum solution out, automatic particle selection for re-initialization was implemented. The optimization results of six benchmark functions show EMPSO performs well when optimizing 100-D problems. The defect simulation results demonstrate that the inversing technique based on EMPSO outperforms the one based on self-learning particle swarm optimizer (SLPSO), and the estimated profiles are still close to the desired profiles with the presence of low noise in MFL signal. The results estimated from real MFL signal by EMPSO-based inversing technique also indicate that the algorithm is capable of providing an accurate solution of the defect profile with real signal. Both the simulation results and experiment results show the computing time of the EMPSO-based inversing technique is reduced by 20%-30% than that of the SLPSO-based inversing technique.

  3. Classifications within molecular subtypes enables identification of BRCA1/BRCA2 mutation carriers by RNA tumor profiling

    DEFF Research Database (Denmark)

    Larsen, Martin J; Kruse, Torben A; Tan, Qihua

    2013-01-01

    Pathogenic germline mutations in BRCA1 or BRCA2 are detected in less than one third of families with a strong history of breast cancer. It is therefore expected that mutations still remain undetected by currently used screening methods. In addition, a growing number of BRCA1/2 sequence variants...... of unclear pathogen significance are found in the families, constituting an increasing clinical challenge. New methods are therefore needed to improve the detection rate and aid the interpretation of the clinically uncertain variants. In this study we analyzed a series of 33 BRCA1, 22 BRCA2, and 128 sporadic...... tumors by RNA profiling to investigate the classification potential of RNA profiles to predict BRCA1/2 mutation status. We found that breast tumors from BRCA1 and BRCA2 mutation carriers display characteristic RNA expression patterns, allowing them to be distinguished from sporadic tumors. The majority...

  4. Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems

    OpenAIRE

    Bonte, Anja; Neuweger, Heiko; Goesmann, Alexander; Thonar, Cécile; Mäder, Paul; Langenkämper, Georg; Niehaus, Karsten

    2014-01-01

    Identification of biomarkers capable of distinguishing organic and conventional products would be highly welcome to improve the strength of food quality assurance. Metabolite profiling was used for biomarker search in organic and conventional wheat grain (Triticum aestivum L.) of 11 different old and new bread wheat cultivars grown in the DOK system comparison trial. Metabolites were extracted usingmethanol and analysed by gas chromatography–mass spectrometry.

  5. Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems.

    Science.gov (United States)

    Bonte, Anja; Neuweger, Heiko; Goesmann, Alexander; Thonar, Cécile; Mäder, Paul; Langenkämper, Georg; Niehaus, Karsten

    2014-10-01

    Identification of biomarkers capable of distinguishing organic and conventional products would be highly welcome to improve the strength of food quality assurance. Metabolite profiling was used for biomarker search in organic and conventional wheat grain (Triticum aestivum L.) of 11 different old and new bread wheat cultivars grown in the DOK system comparison trial. Metabolites were extracted using methanol and analysed by gas chromatography-mass spectrometry. Altogether 48 metabolites and 245 non-identified metabolites (TAGs) were detected in the cultivar Runal. Principal component analysis showed a sample clustering according to farming systems and significant differences in peak areas between the farming systems for 10 Runal metabolites. Results obtained from all 11 cultivars indicated a greater influence of the cultivar than the farming system on metabolite concentrations. Nevertheless, a t-test on data of all cultivars still detected 5 metabolites and 11 TAGs with significant differences between the farming systems. Based on individual cultivars, metabolite profiling showed promising results for the categorization of organic and conventional wheat. Further investigations are necessary with wheat from more growing seasons and locations before definite conclusions can be drawn concerning the feasibility to evolve a combined set of biomarkers for organically grown wheat using metabolite profiles. © 2014 Society of Chemical Industry.

  6. A Remote Sensing Approach to Estimate Vertical Profile Classes of Phytoplankton in a Eutrophic Lake

    Directory of Open Access Journals (Sweden)

    Kun Xue

    2015-10-01

    Full Text Available The extension and frequency of algal blooms in surface waters can be monitored using remote sensing techniques, yet knowledge of their vertical distribution is fundamental to determine total phytoplankton biomass and understanding temporal variability of surface conditions and the underwater light field. However, different vertical distribution classes of phytoplankton may occur in complex inland lakes. Identification of the vertical profile classes of phytoplankton becomes the key and first step to estimate its vertical profile. The vertical distribution profile of phytoplankton is based on a weighted integral of reflected light from all depths and is difficult to determine by reflectance data alone. In this study, four Chla vertical profile classes (vertically uniform, Gaussian, exponential and hyperbolic were found to occur in three in situ vertical surveys (28 May, 19–24 July and 10–12 October in a shallow eutrophic lake, Lake Chaohu. We developed and validated a classification and regression tree (CART to determine vertical phytoplankton biomass profile classes. This was based on an algal bloom index (Normalized Difference algal Bloom Index, NDBI applied to both in situ remote sensing reflectance (Rrs and MODIS Rayleigh-corrected reflectance (Rrc data in combination with data of local wind speed. The results show the potential of retrieving Chla vertical profiles information from integrated information sources following a decision tree approach.

  7. Inversely estimating the vertical profile of the soil CO2 production rate in a deciduous broadleaf forest using a particle filtering method.

    Science.gov (United States)

    Sakurai, Gen; Yonemura, Seiichiro; Kishimoto-Mo, Ayaka W; Murayama, Shohei; Ohtsuka, Toshiyuki; Yokozawa, Masayuki

    2015-01-01

    Carbon dioxide (CO2) efflux from the soil surface, which is a major source of CO2 from terrestrial ecosystems, represents the total CO2 production at all soil depths. Although many studies have estimated the vertical profile of the CO2 production rate, one of the difficulties in estimating the vertical profile is measuring diffusion coefficients of CO2 at all soil depths in a nondestructive manner. In this study, we estimated the temporal variation in the vertical profile of the CO2 production rate using a data assimilation method, the particle filtering method, in which the diffusion coefficients of CO2 were simultaneously estimated. The CO2 concentrations at several soil depths and CO2 efflux from the soil surface (only during the snow-free period) were measured at two points in a broadleaf forest in Japan, and the data were assimilated into a simple model including a diffusion equation. We found that there were large variations in the pattern of the vertical profile of the CO2 production rate between experiment sites: the peak CO2 production rate was at soil depths around 10 cm during the snow-free period at one site, but the peak was at the soil surface at the other site. Using this method to estimate the CO2 production rate during snow-cover periods allowed us to estimate CO2 efflux during that period as well. We estimated that the CO2 efflux during the snow-cover period (about half the year) accounted for around 13% of the annual CO2 efflux at this site. Although the method proposed in this study does not ensure the validity of the estimated diffusion coefficients and CO2 production rates, the method enables us to more closely approach the "actual" values by decreasing the variance of the posterior distribution of the values.

  8. Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer

    Science.gov (United States)

    Foth, Andreas; Pospichal, Bernhard

    2017-09-01

    In this work, a two-step algorithm to obtain water vapour profiles from a combination of Raman lidar and microwave radiometer is presented. Both instruments were applied during an intensive 2-month measurement campaign (HOPE) close to Jülich, western Germany, during spring 2013. To retrieve reliable water vapour information from inside or above the cloud a two-step algorithm is applied. The first step is a Kalman filter that extends the profiles, truncated at cloud base, to the full height range (up to 10 km) by combining previous information and current measurement. Then the complete water vapour profile serves as input to the one-dimensional variational (1D-VAR) method, also known as optimal estimation. A forward model simulates the brightness temperatures which would be observed by the microwave radiometer for the given atmospheric state. The profile is iteratively modified according to its error bars until the modelled and the actually measured brightness temperatures sufficiently agree. The functionality of the retrieval is presented in detail by means of case studies under different conditions. A statistical analysis shows that the availability of Raman lidar data (night) improves the accuracy of the profiles even under cloudy conditions. During the day, the absence of lidar data results in larger differences in comparison to reference radiosondes. The data availability of the full-height water vapour lidar profiles of 17 % during the 2-month campaign is significantly enhanced to 60 % by applying the retrieval. The bias with respect to radiosonde and the retrieved a posteriori uncertainty of the retrieved profiles clearly show that the application of the Kalman filter considerably improves the accuracy and quality of the retrieved mixing ratio profiles.

  9. The Archetype-enabled EHR system ZK-ARCHE - integrating the ISO/EN 13606 standard and IHE XDS profile.

    Science.gov (United States)

    Kohler, Michael; Rinner, Christoph; Hübner-Bloder, Gudrun; Saboor, Samrend; Ammenwerth, Elske; Duftschmid, Georg

    2011-01-01

    The EHR system ZK-ARCHE automatically generates forms from ISO/EN 13606 archetypes. For this purpose the archetypes are augmented with components of the reference model to achieve so-called "comprehensive archetypes". Data collected via the forms are stored in a list which associates each value with the path of the corresponding comprehensive archetype node coded as W3C XPath. From this list archetype-conformant EHR extracts can be created. The system is embedded with the IHE XDS profile to allow direct data exchange in an environment of distributed data storage.

  10. The effects of inbreeding on DNA profile frequency estimates using PCR-based loci.

    Science.gov (United States)

    Budowle, B

    1995-01-01

    Estimates of inbreeding were determined using Wright's FST for loci used for PCR-based forensic analyses. The populations analyzed were African Americans, Caucasians, Hispanics, and Orientals. In most cases the FST values at each locus were less than 0.01. The FST values over all loci for African Americans, Caucasians, and Orientals ranged from 0.0015 to 0.0048. No substantial differences were observed for DNA profile frequency estimates when calculated under the assumption of independence or with the incorporation of FST.

  11. Temperature-profile methods for estimating percolation rates in arid environments

    Science.gov (United States)

    Constantz, Jim; Tyler, Scott W.; Kwicklis, Edward

    2003-01-01

    Percolation rates are estimated using vertical temperature profiles from sequentially deeper vadose environments, progressing from sediments beneath stream channels, to expansive basin-fill materials, and finally to deep fractured bedrock underlying mountainous terrain. Beneath stream channels, vertical temperature profiles vary over time in response to downward heat transport, which is generally controlled by conductive heat transport during dry periods, or by advective transport during channel infiltration. During periods of stream-channel infiltration, two relatively simple approaches are possible: a heat-pulse technique, or a heat and liquid-water transport simulation code. Focused percolation rates beneath stream channels are examined for perennial, seasonal, and ephemeral channels in central New Mexico, with estimated percolation rates ranging from 100 to 2100 mm d−1 Deep within basin-fill and underlying mountainous terrain, vertical temperature gradients are dominated by the local geothermal gradient, which creates a profile with decreasing temperatures toward the surface. If simplifying assumptions are employed regarding stratigraphy and vapor fluxes, an analytical solution to the heat transport problem can be used to generate temperature profiles at specified percolation rates for comparison to the observed geothermal gradient. Comparisons to an observed temperature profile in the basin-fill sediments beneath Frenchman Flat, Nevada, yielded water fluxes near zero, with absolute values <10 mm yr−1 For the deep vadose environment beneath Yucca Mountain, Nevada, the complexities of stratigraphy and vapor movement are incorporated into a more elaborate heat and water transport model to compare simulated and observed temperature profiles for a pair of deep boreholes. Best matches resulted in a percolation rate near zero for one borehole and 11 mm yr−1 for the second borehole.

  12. Profiling of Prosumers for the Needs of Electric Energy Demand Estimation in Microgrids

    OpenAIRE

    Karol Fabisz; Agata Filipowska; Tymoteusz Hossa

    2015-01-01

    Nowadays, a lot of attention regarding smart grids' development is devoted to delivery of methods for estimation of the energy demand taking into account the behavior of network participants (being single prosumers or groups of prosumers). These methods take an advantage from an analysis of the ex-post data on energy consumption, usually with no additional data about profiles of prosumers. The goal of this paper is to present and validate a method for an energy demand forecasting based on pro...

  13. Cohort profile: Examining Neighbourhood Activities in Built Living Environments in London: the ENABLE London-Olympic Park cohort.

    Science.gov (United States)

    Ram, Bina; Nightingale, Claire M; Hudda, Mohammed T; Kapetanakis, Venediktos V; Ellaway, Anne; Cooper, Ashley R; Page, Angie; Lewis, Daniel; Cummins, Steven; Giles-Corti, Billie; Whincup, Peter H; Cook, Derek G; Rudnicka, Alicja R; Owen, Christopher G

    2016-10-28

    The Examining Neighbourhood Activities in Built Living Environments in London (ENABLE London) project is a natural experiment which aims to establish whether physical activity and other health behaviours show sustained changes among individuals and families relocating to East Village (formerly the London 2012 Olympics Athletes' Village), when compared with a control population living outside East Village throughout. Between January 2013 and December 2015, 1497 individuals from 1006 households were recruited and assessed (at baseline) (including 392 households seeking social housing, 421 seeking intermediate and 193 seeking market rent homes). The 2-year follow-up rate is 62% of households to date, of which 57% have moved to East Village. Assessments of physical activity (measured objectively using accelerometers) combined with Global Positioning System technology and Geographic Information System mapping of the local area are being used to characterise physical activity patterns and location among study participants and assess the attributes of the environments to which they are exposed. Assessments of body composition, based on weight, height and bioelectrical impedance, have been made and detailed participant questionnaires provide information on socioeconomic position, general health/health status, well-being, anxiety, depression, attitudes to leisure time activities and other personal, social and environmental influences on physical activity, including the use of recreational space and facilities in their residential neighbourhood. The main analyses will examine the changes in physical activity, health and well-being observed in the East Village group compared with controls and the influence of specific elements of the built environment on observed changes. The ENABLE London project exploits a unique opportunity to evaluate a 'natural experiment', provided by the building and rapid occupation of East Village. Findings from the study will be generalisable to

  14. qpure: A tool to estimate tumor cellularity from genome-wide single-nucleotide polymorphism profiles.

    Directory of Open Access Journals (Sweden)

    Sarah Song

    Full Text Available Tumour cellularity, the relative proportion of tumour and normal cells in a sample, affects the sensitivity of mutation detection, copy number analysis, cancer gene expression and methylation profiling. Tumour cellularity is traditionally estimated by pathological review of sectioned specimens; however this method is both subjective and prone to error due to heterogeneity within lesions and cellularity differences between the sample viewed during pathological review and tissue used for research purposes. In this paper we describe a statistical model to estimate tumour cellularity from SNP array profiles of paired tumour and normal samples using shifts in SNP allele frequency at regions of loss of heterozygosity (LOH in the tumour. We also provide qpure, a software implementation of the method. Our experiments showed that there is a medium correlation 0.42 ([Formula: see text]-value=0.0001 between tumor cellularity estimated by qpure and pathology review. Interestingly there is a high correlation 0.87 ([Formula: see text]-value [Formula: see text] 2.2e-16 between cellularity estimates by qpure and deep Ion Torrent sequencing of known somatic KRAS mutations; and a weaker correlation 0.32 ([Formula: see text]-value=0.004 between IonTorrent sequencing and pathology review. This suggests that qpure may be a more accurate predictor of tumour cellularity than pathology review. qpure can be downloaded from https://sourceforge.net/projects/qpure/.

  15. Generating favorable growth factor and protease release profiles to enable extracellular matrix accumulation within an in vitro tissue engineering environment.

    Science.gov (United States)

    Zhang, Xiaoqing; Battiston, Kyle G; Labow, Rosalind S; Simmons, Craig A; Santerre, J Paul

    2017-05-01

    Tissue engineering (particularly for the case of load-bearing cardiovascular and connective tissues) requires the ability to promote the production and accumulation of extracellular matrix (ECM) components (e.g., collagen, glycosaminoglycan and elastin). Although different approaches have been attempted in order to enhance ECM accumulation in tissue engineered constructs, studies of underlying signalling mechanisms that influence ECM deposition and degradation during tissue remodelling and regeneration in multi-cellular culture systems have been limited. The current study investigated vascular smooth muscle cell (VSMC)-monocyte co-culture systems using different VSMC:monocyte ratios, within a degradable polyurethane scaffold, to assess their influence on ECM generation and degradation processes, and to elucidate relevant signalling molecules involved in this in vitro vascular tissue engineering system. It was found that a desired release profile of growth factors (e.g. insulin growth factor-1 (IGF-1)) and hydrolytic proteases (e.g. matrix-metalloproteinases 2, 9, 13 and 14 (MMP2, MMP9, MMP13 and MMP14)), could be achieved in co-culture systems, yielding an accumulation of ECM (specifically for 2:1 and 4:1 VSMC:monocyte culture systems). This study has significant implications for the tissue engineering field (including vascular tissue engineering), not only because it identified important cytokines and proteases that control ECM accumulation/degradation within synthetic tissue engineering scaffolds, but also because the established culture systems could be applied to improve the development of different types of tissue constructs. Sufficient extracellular matrix accumulation within cardiovascular and connective tissue engineered constructs is a prerequisite for their appropriate function in vivo. This study established co-culture systems with tissue specific cells (vascular smooth muscle cells (VSMCs)) and defined ratios of immune cells (monocytes) to investigate

  16. Bayesian Mass Estimates of the Milky Way: Inferring the Mass Profile from Globular Cluster Kinematics

    Science.gov (United States)

    Eadie, Gwendolyn; Harris, William E.; Springford, Aaron; Widrow, Larry

    2017-01-01

    The mass and cumulative mass profile of the Milky Way's dark matter halo is a fundamental property of the Galaxy, and yet these quantities remain poorly constrained and span almost two orders of magnitude in the literature. There are a variety of methods to measure the mass of the Milky Way, and a common way to constrain the mass uses kinematic information of satellite objects (e.g. globular clusters) orbiting the Galaxy. One reason precise estimates of the mass and mass profile remain elusive is that the kinematic data of the globular clusters are incomplete; for some both line-of-sight and proper motion measurements are available (i.e. complete data), and for others there are only line-of-sight velocities (i.e. incomplete data). Furthermore, some proper motion measurements suffer from large measurement uncertainties, and these uncertainties can be difficult to take into account because they propagate in complicated ways. Past methods have dealt with incomplete data by using either only the line-of-sight measurements (and throwing away the proper motions), or only using the complete data. In either case, valuable information is not included in the analysis. During my PhD research, I have been developing a coherent hierarchical Bayesian method to estimate the mass and mass profile of the Galaxy that 1) includes both complete and incomplete kinematic data simultaneously in the analysis, and 2) includes measurement uncertainties in a meaningful way. In this presentation, I will introduce our approach in a way that is accessible and clear, and will also present our estimates of the Milky Way's total mass and mass profile using all available kinematic data from the globular cluster population of the Galaxy.

  17. A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data

    Directory of Open Access Journals (Sweden)

    Chandra Nagasuma R

    2009-02-01

    Full Text Available Abstract Background A genetic network can be represented as a directed graph in which a node corresponds to a gene and a directed edge specifies the direction of influence of one gene on another. The reconstruction of such networks from transcript profiling data remains an important yet challenging endeavor. A transcript profile specifies the abundances of many genes in a biological sample of interest. Prevailing strategies for learning the structure of a genetic network from high-dimensional transcript profiling data assume sparsity and linearity. Many methods consider relatively small directed graphs, inferring graphs with up to a few hundred nodes. This work examines large undirected graphs representations of genetic networks, graphs with many thousands of nodes where an undirected edge between two nodes does not indicate the direction of influence, and the problem of estimating the structure of such a sparse linear genetic network (SLGN from transcript profiling data. Results The structure learning task is cast as a sparse linear regression problem which is then posed as a LASSO (l1-constrained fitting problem and solved finally by formulating a Linear Program (LP. A bound on the Generalization Error of this approach is given in terms of the Leave-One-Out Error. The accuracy and utility of LP-SLGNs is assessed quantitatively and qualitatively using simulated and real data. The Dialogue for Reverse Engineering Assessments and Methods (DREAM initiative provides gold standard data sets and evaluation metrics that enable and facilitate the comparison of algorithms for deducing the structure of networks. The structures of LP-SLGNs estimated from the INSILICO1, INSILICO2 and INSILICO3 simulated DREAM2 data sets are comparable to those proposed by the first and/or second ranked teams in the DREAM2 competition. The structures of LP-SLGNs estimated from two published Saccharomyces cerevisae cell cycle transcript profiling data sets capture known

  18. Achievable Rate Estimation of IEEE 802.11ad Visual Big-Data Uplink Access in Cloud-Enabled Surveillance Applications.

    Science.gov (United States)

    Kim, Joongheon; Kim, Jong-Kook

    2016-01-01

    This paper addresses the computation procedures for estimating the impact of interference in 60 GHz IEEE 802.11ad uplink access in order to construct visual big-data database from randomly deployed surveillance camera sensing devices. The acquired large-scale massive visual information from surveillance camera devices will be used for organizing big-data database, i.e., this estimation is essential for constructing centralized cloud-enabled surveillance database. This performance estimation study captures interference impacts on the target cloud access points from multiple interference components generated by the 60 GHz wireless transmissions from nearby surveillance camera devices to their associated cloud access points. With this uplink interference scenario, the interference impacts on the main wireless transmission from a target surveillance camera device to its associated target cloud access point with a number of settings are measured and estimated under the consideration of 60 GHz radiation characteristics and antenna radiation pattern models.

  19. Thermal Loading and Lifetime Estimation for Power Device Considering Mission Profiles in Wind Power Converter

    DEFF Research Database (Denmark)

    Ma, Ke; Liserre, Marco; Blaabjerg, Frede

    2015-01-01

    As a key component in the wind turbine system, the power electronic converter and its power semiconductors suffer from complicated power loadings related to environment, and are proven to have high failure rates. Therefore, correct lifetime estimation of wind power converter is crucial...... for the reliability improvement and also for cost reduction of wind power technology. Unfortunately, the existing lifetime estimation methods for the power electronic converter are not yet suitable in the wind power application, because the comprehensive mission profiles are not well specified and included....... Consequently, a relative more advanced approach is proposed in this paper, which is based on the loading and strength analysis of devices and takes into account different time constants of the thermal behaviors in power converter. With the established methods for loading and lifetime estimation for power...

  20. Profiling antibody responses to infections by Chlamydia abortus enables identification of potential virulence factors and candidates for serodiagnosis.

    Directory of Open Access Journals (Sweden)

    Vera Forsbach-Birk

    Full Text Available Enzootic abortion of ewes (EAE due to infection with the obligate intracellular pathogen Chlamydia (C. abortus is an important zoonosis leading to considerable economic loss to agriculture worldwide. The pathogen can be transmitted to humans and may lead to serious infection in pregnant women. Knowledge about epidemiology, clinical course and transmission to humans is hampered by the lack of reliable diagnostic tools. Immunoreactive proteins, which are expressed in infected animals and humans, may serve as novel candidates for diagnostic marker proteins and represent putative virulence factors. In order to broaden the spectrum of immunogenic C. abortus proteins we applied 2D immunoblot analysis and screening of an expression library using human and animal sera. We have identified 48 immunoreactive proteins representing potential diagnostic markers and also putative virulence factors, such as CAB080 (homologue of the "macrophage infectivity potentiator", MIP, CAB167 (homologue of the "translocated actin recruitment protein", TARP, CAB712 (homologue of the "chlamydial protease-like activity factor", CPAF, CAB776 (homologue of the "Polymorphic membrane protein D", PmpD, and the "hypothetical proteins" CAB063, CAB408 and CAB821, which are predicted to be type III secreted. We selected two putative virulence factors for further characterization, i.e. CAB080 (cMIP and CAB063, and studied their expression profiles at transcript and protein levels. Analysis of the subcellular localization of both proteins throughout the developmental cycle revealed CAB063 being the first C. abortus protein shown to be translocated to the host cell nucleus.

  1. Estimating Production and Consumption of Solid Reactive Fe Phases in Marine Sediments from Concentration Profiles

    Science.gov (United States)

    Devereux, R.; Lettmann, K.; Lehrter, J. C.; Beddick, D. L., Jr.; Yates, D. F.; Hoglund, M.; Rogers, J. E.; Jarvis, B.

    2016-02-01

    1D diffusion models may be used to estimate rates of production and consumption of dissolved metabolites in marine sediments but are applied less often to the solid phase. Here we used a numerical inverse method assuming steady state conditions to estimate solid phase Fe(III) and Fe(II) consumption and production rates, respectively, from sediment concentration profiles. First, porewater concentration profiles of dissolved inorganic carbon (DIC) and ammonium (NH4+) in muddy northern Gulf of Mexico sediments were analyzed by the model. The runs were used to fit model concentration outputs to sediment sample data, identify zones of production and consumption, and obtain modeled fluxes across the sediment-water interface that best matched experimentally-obtained flux rates. Modeled fluxes were sensitive to coefficients of sediment irrigation and bioturbation in addition to boundary concentrations. Assuming diffusion coefficients = 0 for solid phase minerals, drivers for estimating production and consumption rates from solid phase concentrations are then the rates of sedimentation and porewater advection, and coefficients of bioturbation and irrigation. Thus, applying the model with sediment irrigation and bioturbation terms obtained in the DIC and NH4+ runs, and replacing values of porosity with 1-porosity, rates of Fe(II) production closely matched rates of Fe(III) consumption at about 10-3 nmole cm-1 sec-1. High modeled Fe transformations occurred in the upper 3.5 cm of sediment. In addition, porewater Fe2+ and dissolved Mn concentration profiles both yielded modeled production in the top 0.5 cm of sediment with consumption below that suggesting a zone of precipitation as sulfide or carbonate minerals. These results demonstrate that simple 1D models can be applied to the solid phase of marine sediments and may additionally be helpful in estimating coefficients of sediment irrigation and bioturbation.

  2. TREASURE mobile app: A satellite-enabled application for personalized heatwave risk based on location and user profile

    Science.gov (United States)

    Keramitsoglou, I.; Katsouyanni, K.; Analitis, A.; Sismanidis, P.; Kiranoudis, C. T.

    2016-12-01

    High temperatures and heatwaves are associated with large increases in mortality, especially among susceptible individuals living in urban areas. The within-city variability in the effects associated with specific area characteristics, including the Urban Heat Island effect, have to be taken into account to estimate the level of heatwave risk associated with a specific city location. Real-time appraisal and quantification of spatially distributed heatwave risk is therefore required to develop innovative applications to safeguard citizens' health. TREASURE app (http://treasure.eu-project-sites.com/) integrates the expertise of epidemiologists, Earth Observation scientists and IT developers into intelligent operational and real-time heatwave risk assessment for citizens. The app provides the user with an assessment of personalized location-specific heatwave risk. For the development of the app an epidemiological analysis of a long series of mortality data against measured data series has been carried out to identify the temperature level associated with the minimum mortality (threshold) and the change in risk of death for increases in temperature above this level, in the warm period. Published results have been also taken into account. For the estimation of heatwave hazard thermal infrared Earth Observation data were exploited so as to provide spatially and temporally detailed air and land surface temperatures. An advanced workflow has been developed that uses 4 km/5' geostationary TIR data from EUMETSAT MSG2-SEVIRI satellite, output from the Global Forecast System weather model and SAFNWC software. This workflow consists of the preprocessing of the EO data and the retrieval of LST and TA at an enhanced spatial resolution of 1km. The mobile app was developed for, evaluated in and endorsed by two Mediterranean cities with different characteristics, namely Athens (GR) and Palma (ES) and has set the ground for application to any other European city.

  3. Microdialysis Sampling from Wound Fluids Enables Quantitative Assessment of Cytokines, Proteins, and Metabolites Reveals Bone Defect-Specific Molecular Profiles.

    Science.gov (United States)

    Förster, Yvonne; Schmidt, Johannes R; Wissenbach, Dirk K; Pfeiffer, Susanne E M; Baumann, Sven; Hofbauer, Lorenz C; von Bergen, Martin; Kalkhof, Stefan; Rammelt, Stefan

    2016-01-01

    Bone healing involves a variety of different cell types and biological processes. Although certain key molecules have been identified, the molecular interactions of the healing progress are not completely understood. Moreover, a clinical routine for predicting the quality of bone healing after a fracture in an early phase is missing. This is mainly due to a lack of techniques to comprehensively screen for cytokines, growth factors and metabolites at their local site of action. Since all soluble molecules of interest are present in the fracture hematoma, its in-depth assessment could reveal potential markers for the monitoring of bone healing. Here, we describe an approach for sampling and quantification of cytokines and metabolites by using microdialysis, combined with solid phase extractions of proteins from wound fluids. By using a control group with an isolated soft tissue wound, we could reveal several bone defect-specific molecular features. In bone defect dialysates the neutrophil chemoattractants CXCL1, CXCL2 and CXCL3 were quantified with either a higher or earlier response compared to dialysate from soft tissue wound. Moreover, by analyzing downstream adaptions of the cells on protein level and focusing on early immune response, several proteins involved in the immune cell migration and activity could be identified to be specific for the bone defect group, e.g. immune modulators, proteases and their corresponding inhibitors. Additionally, the metabolite screening revealed different profiles between the bone defect group and the control group. In summary, we identified potential biomarkers to indicate imbalanced healing progress on all levels of analysis.

  4. Microdialysis Sampling from Wound Fluids Enables Quantitative Assessment of Cytokines, Proteins, and Metabolites Reveals Bone Defect-Specific Molecular Profiles.

    Directory of Open Access Journals (Sweden)

    Yvonne Förster

    Full Text Available Bone healing involves a variety of different cell types and biological processes. Although certain key molecules have been identified, the molecular interactions of the healing progress are not completely understood. Moreover, a clinical routine for predicting the quality of bone healing after a fracture in an early phase is missing. This is mainly due to a lack of techniques to comprehensively screen for cytokines, growth factors and metabolites at their local site of action. Since all soluble molecules of interest are present in the fracture hematoma, its in-depth assessment could reveal potential markers for the monitoring of bone healing. Here, we describe an approach for sampling and quantification of cytokines and metabolites by using microdialysis, combined with solid phase extractions of proteins from wound fluids. By using a control group with an isolated soft tissue wound, we could reveal several bone defect-specific molecular features. In bone defect dialysates the neutrophil chemoattractants CXCL1, CXCL2 and CXCL3 were quantified with either a higher or earlier response compared to dialysate from soft tissue wound. Moreover, by analyzing downstream adaptions of the cells on protein level and focusing on early immune response, several proteins involved in the immune cell migration and activity could be identified to be specific for the bone defect group, e.g. immune modulators, proteases and their corresponding inhibitors. Additionally, the metabolite screening revealed different profiles between the bone defect group and the control group. In summary, we identified potential biomarkers to indicate imbalanced healing progress on all levels of analysis.

  5. Estimation of two-dimensional velocity distribution profile using General Index Entropy in open channels

    Science.gov (United States)

    Shojaeezadeh, Shahab Aldin; Amiri, Seyyed Mehrab

    2018-02-01

    Estimation of velocity distribution profile is a challenging subject of open channel hydraulics. In this study, an entropy-based method is used to derive two-dimensional velocity distribution profile. The General Index Entropy (GIE) can be considered as the generalized form of Shannon entropy which is suitable to combine with the different form of Cumulative Distribution Function (CDF). Using the principle of maximum entropy (POME), the velocity distribution is defined by maximizing the GIE by treating the velocity as a random variable. The combination of GIE and a CDF proposed by Marini et al. (2011) was utilized to introduce an efficient entropy model whose results are comparable with several well-known experimental and field data. Consequently, in spite of less sensitivity of the related parameters of the model to flow conditions and less complexity in application of the model compared with other entropy-based methods, more accuracy is obtained in estimating velocity distribution profile either near the boundaries or the free surface of the flow.

  6. A proteogenomics approach integrating proteomics and ribosome profiling increases the efficiency of protein identification and enables the discovery of alternative translation start sites.

    Science.gov (United States)

    Koch, Alexander; Gawron, Daria; Steyaert, Sandra; Ndah, Elvis; Crappé, Jeroen; De Keulenaer, Sarah; De Meester, Ellen; Ma, Ming; Shen, Ben; Gevaert, Kris; Van Criekinge, Wim; Van Damme, Petra; Menschaert, Gerben

    2014-12-01

    Next-generation transcriptome sequencing is increasingly integrated with MS to enhance MS-based protein and peptide identification. Recently, a breakthrough in transcriptome analysis was achieved with the development of ribosome profiling (ribo-seq). This technology is based on the deep sequencing of ribosome-protected mRNA fragments, thereby enabling the direct observation of in vivo protein synthesis at the transcript level. In order to explore the impact of a ribo-seq-derived protein sequence search space on MS/MS spectrum identification, we performed a comprehensive proteome study on a human cancer cell line, using both shotgun and N-terminal proteomics, next to ribosome profiling, which was used to delineate (alternative) translational reading frames. By including protein-level evidence of sample-specific genetic variation and alternative translation, this strategy improved the identification score of 69 proteins and identified 22 new proteins in the shotgun experiment. Furthermore, we discovered 18 new alternative translation start sites in the N-terminal proteomics data and observed a correlation between the quantitative measures of ribo-seq and shotgun proteomics with a Pearson correlation coefficient ranging from 0.483 to 0.664. Overall, this study demonstrated the benefits of ribosome profiling for MS-based protein and peptide identification and we believe this approach could develop into a common practice for next-generation proteomics. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  7. Real Mission Profile Based Lifetime Estimation of Fuel-cell Power Converter

    DEFF Research Database (Denmark)

    Zhou, Dao; Wang, Huai; Blaabjerg, Frede

    2016-01-01

    . This paper describes a lifetime prediction method for the power semiconductors used in the power conditioning of a fuel cell based backup system, considering both the long-term standby mode and active operation mode. The annual ambient temperature profile is taken into account to estimate its impact...... on the degradation of MOSFETs during the standby mode. At the presence of power outages, the backup system is activated into the operation mode and the MOSFETs withstand additional thermal stresses due to power losses. A study case of a 1 kW backup system is presented with two annual mission profiles in Denmark...... and India, respectively. The ambient temperature, occurrence frequency of power outages, active operation time and power levels are considered for the lifetime prediction of the applied MOSFETs. Comparisons of the accumulated lifetime consumptions are performed between standby mode and operation mode...

  8. Estimating the outer scale in altitude - L0(h) - using the GeMS profiler

    Science.gov (United States)

    Guesalaga, A.; Neichel, B.; Fusco, T.; Oberti, S.; Valenzuela, J.; Masciadri, E.; Correia, C.; Sauvage, J. F.

    2015-12-01

    We analyze the altitude distribution of the turbulence outer scale - L0(h) - at Cerro Pachon from Gemini South MCAO (GeMS) loop data. GeMS turbulence profiler is fed with telemetry from their 5 WFSs and from the voltages applied to the deformable mirrors, providing estimations of r0, Cn2(h), wind profile (speed and direction for every layer), isoplanatic angle and the outer scale distribution L0(h). It is shown that this last parameter ranges from less than 1 meter at the ground to more than 50m (the telescope is insensitive to larger cannot detect differences above this value). The technique is based on cross correlations of the pseudo-open-loop slopes that allow to disentangle the multiple constituents of L0.

  9. An Alternate Method for Estimating Dynamic Height from XBT Profiles Using Empirical Vertical Modes

    Science.gov (United States)

    Lagerloef, Gary S. E.

    1994-01-01

    A technique is presented that applies modal decomposition to estimate dynamic height (0-450 db) from Expendable BathyThermograph (XBT) temperature profiles. Salinity-Temperature-Depth (STD) data are used to establish empirical relationships between vertically integrated temperature profiles and empirical dynamic height modes. These are then applied to XBT data to estimate dynamic height. A standard error of 0.028 dynamic meters is obtained for the waters of the Gulf of Alaska- an ocean region subject to substantial freshwater buoyancy forcing and with a T-S relationship that has considerable scatter. The residual error is a substantial improvement relative to the conventional T-S correlation technique when applied to this region. Systematic errors between estimated and true dynamic height were evaluated. The 20-year-long time series at Ocean Station P (50 deg N, 145 deg W) indicated weak variations in the error interannually, but not seasonally. There were no evident systematic alongshore variations in the error in the ocean boundary current regime near the perimeter of the Alaska gyre. The results prove satisfactory for the purpose of this work, which is to generate dynamic height from XBT data for coanalysis with satellite altimeter data, given that the altimeter height precision is likewise on the order of 2-3 cm. While the technique has not been applied to other ocean regions where the T-S relation has less scatter, it is suggested that it could provide some improvement over previously applied methods, as well.

  10. Estimation of the release profiles of multi-unit dose tablets of theophylline from the release profiles of their components

    National Research Council Canada - National Science Library

    Uhumwangho, M.U; Okor, R.S

    2008-01-01

    Purpose: The objective of this study is to investigate whether the drug release profile of a multi-unit dose form consisting of fast and slow release components can be predicted from the release profiles...

  11. The App SOC plus a tool to estimate and calculate organic carbon in the soil profile

    Directory of Open Access Journals (Sweden)

    Francisco Bautista

    2016-04-01

    Full Text Available In the world, researchers are working very intensively in the development of soil organic carbon (SOC inventories. Soil organic carbon is very important because it constitutes the largest reservoir of carbon in terrestrial ecosystems. Maintaining and increasing soil carbon is an option to reduce the amounts of CO2 in the atmosphere, and thereby, to reduce or mitigate climate change. The SOC is now a topic of great interest hence it is recommended to know the amount of SOC along the profile to select and evaluate those areas that should be preserved. The aims of developing App SOC plus were to eliminate the calculate errors of SOC and to make a tool to estimate SOC in field. The common units of measurement of soil properties were employed: bulk density in mg mL−1, horizon thickness in centimetres, stoniness and organic carbon in percentage. The App SOC plus was developed in the Android platform. App SOC plus involves a three-step process: introduction of soil properties, calculation of SOC to horizon and soil profile, and conversion of units using the international and English systems. As a result, there will no longer be confusions with conversion units using App SOC plus; with App SOC plus the soil organic carbon can now be calculated or/and estimated because it provides instructions (aids to estimate the soil properties necessary to calculate the SOC in the soil profile. You can save time in the calculation of SOC. App SOC plus is a tool for diagnosis in the field.

  12. Benchmarking viromics: an in silico evaluation of metagenome-enabled estimates of viral community composition and diversity

    Directory of Open Access Journals (Sweden)

    Simon Roux

    2017-09-01

    Full Text Available Background Viral metagenomics (viromics is increasingly used to obtain uncultivated viral genomes, evaluate community diversity, and assess ecological hypotheses. While viromic experimental methods are relatively mature and widely accepted by the research community, robust bioinformatics standards remain to be established. Here we used in silico mock viral communities to evaluate the viromic sequence-to-ecological-inference pipeline, including (i read pre-processing and metagenome assembly, (ii thresholds applied to estimate viral relative abundances based on read mapping to assembled contigs, and (iii normalization methods applied to the matrix of viral relative abundances for alpha and beta diversity estimates. Results Tools specifically designed for metagenomes, specifically metaSPAdes, MEGAHIT, and IDBA-UD, were the most effective at assembling viromes. Read pre-processing, such as partitioning, had virtually no impact on assembly output, but may be useful when hardware is limited. Viral populations with 2–5 × coverage typically assembled well, whereas lesser coverage led to fragmented assembly. Strain heterogeneity within populations hampered assembly, especially when strains were closely related (average nucleotide identity, or ANI ≥97% and when the most abundant strain represented <50% of the population. Viral community composition assessments based on read recruitment were generally accurate when the following thresholds for detection were applied: (i ≥10 kb contig lengths to define populations, (ii coverage defined from reads mapping at ≥90% identity, and (iii ≥75% of contig length with ≥1 × coverage. Finally, although data are limited to the most abundant viruses in a community, alpha and beta diversity patterns were robustly estimated (±10% when comparing samples of similar sequencing depth, but more divergent (up to 80% when sequencing depth was uneven across the dataset. In the latter cases, the use of normalization

  13. Estimating Surface Temperature of a Calibration Apparatus for Contact Surface Thermometers from Its Internal Temperature Profile

    Science.gov (United States)

    Saito, I.; Nakano, T.; Tamba, J.

    2017-10-01

    A calibration apparatus for contact surface thermometers was developed. Temperature of the upper surface of a copper cube of the calibration apparatus was used as reference surface temperature, which was estimated at around 50 {°}C, 100 {°}C, and 150 {°}C by not only two conventional industrial platinum resistance thermometers (IPRTs) but also five small-sized platinum resistance thermometers (SSPRTs) calibrated based on the International Temperature Scale of 1990 (ITS-90). These thermometers were inserted horizontally into the copper cube and aligned along the center axis of the copper cube. In the case of a no-load state without anything on the upper surface, the temperature profile inside the copper cube linearly decreased from the lower part to the upper surface, which suggests that the heat conduction inside the copper cube can be regarded as a one-dimensional steady state. On the other hand, in the case of a transient state just after the contact surface thermometer was applied to the upper surface, the temperature profile became a round shape. We obtained good agreement between the curvature of the temperature profiles and the results estimated by using an error function used for a one-dimensional transient heat conduction problem. The temperature difference between the estimated temperature by linear extrapolation using two IPRTs and that by extrapolation using the error function was within 0.2 {°}C in the transient state at around 150 {°}C. Over 10 min after the contact surface thermometer was applied, the temperature profile showed a linear shape again, which indicated that linear extrapolation using two IPRTs was well for the estimation of the reference surface temperature because the heat conduction state inside the copper cube came back to the one-dimensional steady state. Difference between the surface temperature and temperature detected by the contact surface thermometer was also observed after the contact surface thermometer touched on the

  14. Life Cycle Payback Estimates of Nanosilver Enabled Textiles under Different Silver Loading, Release, And Laundering Scenarios Informed by Literature Review.

    Science.gov (United States)

    Hicks, Andrea L; Gilbertson, Leanne M; Yamani, Jamila S; Theis, Thomas L; Zimmerman, Julie B

    2015-07-07

    Silver was utilized throughout history to prevent the growth of bacteria in food and wounds. Recently, nanoscale silver has been applied to consumer textiles (nAg-textiles) to eliminate the prevalence of odor-causing bacteria. In turn, it is proposed that consumers will launder these items less frequently thus, reducing the life cycle impacts. While previous studies report that laundering processes are associated with the greatest environmental impacts of these textiles, there is no data available to support the proposed shift in consumer laundering behavior. Here, the results from a comprehensive literature review of nAg-textile life cycle studies are used to inform a cradle-to-grave life cycle impact assessment. Rather than assuming shifts in consumer behavior, the impact assessment is conducted in such a way that considers all laundering scenarios to elucidate the potential for reduced laundering to enable realization of a net life cycle benefit. In addition to identifying the most impactful stages of the life cycle across nine-midpoint categories, a payback period and uncertainty analysis quantifies the reduction in lifetime launderings required to recover the impacts associated with nanoenabling the textile. Reduction of nAg-textile life cycle impacts is not straightforward and depends on the impact category considered.

  15. Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation

    Directory of Open Access Journals (Sweden)

    Yechen Qin

    2015-01-01

    Full Text Available A new road estimation based suspension hybrid control strategy is proposed. Its aim is to adaptively change control gains to improve both ride comfort and road handling with the constraint of rattle space. To achieve this, analytical expressions for ride comfort, road handling, and rattle space with respect to road input are derived based on the hybrid control, and the problem is transformed into a MOOP (Multiobjective Optimization Problem and has been solved by NSGA-II (Nondominated Sorting Genetic Algorithm-II. A new road estimation and classification method, which is based on ANFIS (Adaptive Neurofuzzy Inference System and wavelet transforms, is then presented as a means of detecting the road profile level, and a Kalman filter is designed for observing unknown states. The results of simulations conducted with random road excitation show that the efficiency of the proposed control strategy compares favourably to that of a passive system.

  16. An estimation of the column efficiency made by analyzing tailing peak profiles.

    Science.gov (United States)

    Miyabe, Kanji; Matsumoto, Yuko; Niwa, Yusuke; Ando, Nobuho; Guiochon, Georges

    2009-11-20

    It has been shown previously that most columns are not radially homogeneous but exhibit radial distributions of the mobile phase flow velocity and the local efficiency. Both distributions are best approximated by fourth-order polynomial, with the velocity in the column center being maximum for most packed columns and minimum for monolithic columns. These distributions may be an important source of tailing of elution peaks. The numerical calculation of elution peaks shows how peak tailing is related to the characteristics of these two distributions. An approach is proposed that permits estimations of the true efficiency and of the degree of column radial heterogeneity by inversing this calculation and using the tailing profiles of the elution peaks that are experimentally measured. This method was applied in two concrete cases of tailing peak profiles that had been previously reported and were analyzed by applying this new inverse approach. The results obtained prove its validity and demonstrate that this numerical method is effective for deriving the true column efficiency from experimental tailing profiles.

  17. Method of LSD profile asymmetry for estimating the center of mass velocities of pulsating stars

    Science.gov (United States)

    Britavskiy, N.; Pancino, E.; Tsymbal, V.; Romano, D.; Cacciari, C.; Clementini, C.

    2016-05-01

    We present radial velocity analysis for 20 solar neighborhood RR Lyrae and 3 Population II Cepheids. High-resolution spectra were observed with either TNG/SARG or VLT/UVES over varying phases. To estimate the center of mass (barycentric) velocities of the program stars, we utilized two independent methods. First, the 'classic' method was employed, which is based on RR Lyrae radial velocity curve templates. Second, we provide the new method that used absorption line profile asymmetry to determine both the pulsation and the barycentric velocities even with a low number of high-resolution spectra and in cases where the phase of the observations is uncertain. This new method is based on a least squares deconvolution (LSD) of the line profiles in order to an- alyze line asymmetry that occurs in the spectra of pulsating stars. By applying this method to our sample stars we attain accurate measurements (+- 2 kms^-1) of the pulsation component of the radial velocity. This results in determination of the barycentric velocity to within 5 kms^-1 even with a low number of high- resolution spectra. A detailed investigation of LSD profile asymmetry shows the variable nature of the project factor at different pulsation phases, which should be taken into account in the detailed spectroscopic analysis of pulsating stars.

  18. Profiling of RNA degradation for estimation of post mortem [corrected] interval.

    Directory of Open Access Journals (Sweden)

    Fernanda Sampaio-Silva

    Full Text Available An estimation of the post mortem interval (PMI is frequently touted as the Holy Grail of forensic pathology. During the first hours after death, PMI estimation is dependent on the rate of physical observable modifications including algor, rigor and livor mortis. However, these assessment methods are still largely unreliable and inaccurate. Alternatively, RNA has been put forward as a valuable tool in forensic pathology, namely to identify body fluids, estimate the age of biological stains and to study the mechanism of death. Nevertheless, the attempts to find correlation between RNA degradation and PMI have been unsuccessful. The aim of this study was to characterize the RNA degradation in different post mortem tissues in order to develop a mathematical model that can be used as coadjuvant method for a more accurate PMI determination. For this purpose, we performed an eleven-hour kinetic analysis of total extracted RNA from murine's visceral and muscle tissues. The degradation profile of total RNA and the expression levels of several reference genes were analyzed by quantitative real-time PCR. A quantitative analysis of normalized transcript levels on the former tissues allowed the identification of four quadriceps muscle genes (Actb, Gapdh, Ppia and Srp72 that were found to significantly correlate with PMI. These results allowed us to develop a mathematical model with predictive value for estimation of the PMI (confidence interval of ±51 minutes at 95% that can become an important complementary tool for traditional methods.

  19. Applying standard perikymata profiles to Pongo pygmaeus canines to estimate perikymata counts between linear enamel hypoplasias.

    Science.gov (United States)

    O'Hara, Mackie

    2017-05-01

    Recently, studies have interpreted regular spacing and average number of perikymata between dental enamel defects in orangutans to reflect seasonal episodes of physiological stress. To estimate the amount of time between developmental defects (enamel hypoplasia), studies have relied on perikymata counts. Unfortunately, perikymata are frequently not continuously visible between defects, significantly reducing data sets. A method is presented here for estimating the number of perikymata between defects using standard perikymata profiles (SPP) that allow the number of perikymata between all pairs of defects across a tooth to be analyzed. The SPP method should allow the entire complement of defects to be analyzed within the context of an individual's crown formation time. The average number of perikymata were established per decile and charted to create male and female Pongo pygmaeus SPPs. The position of the beginning of each defect was recorded for lower canines from males (n = 6) and females (n = 17). The number of perikymata between defects estimated by the SPP was compared to the actual count (where perikymata were continuously visible). The number of perikymata between defects estimated by the SPPs was accurate within three perikymata and highly correlated with the actual counts, significantly increasing the number of analyzable defect pairs. SPPs allow all defect pairs to be included in studies of defect timing, not just those with continuously visible perikymata. Establishing an individual's entire complement of dental defects makes it possible to calculate the regularity (and potential seasonality) of defects. © 2017 Wiley Periodicals, Inc.

  20. Comparing helicopter-borne profiling radar with airborne laser scanner data for forest structure estimation.

    Science.gov (United States)

    Piermattei, Livia; Hollaus, Markus; Pfeifer, Norbert; Chen, Yuwei; Karjalainen, Mika; Hakala, Teemu; Hyyppä, Juha; Wagner, Wolfgang

    2017-04-01

    Forests are complex ecosystems that show substantial variation with respect to climate, management regime, stand history, disturbance, and needs of local communities. The dynamic processes of growth and disturbance are reflected in the structural components of forests that include the canopy vertical structure and geometry (e.g. size, height, and form), tree position and species diversity. Current remote-sensing systems to measure forest structural attributes include passive optical sensors and active sensors. The technological capabilities of active remote sensing like the ability to penetrate the vegetation and provide information about its vertical structure has promoted an extensive use of LiDAR (Light Detection And Ranging) and radar (RAdio Detection And Ranging) system over the last 20 years. LiDAR measurements from aircraft (airborne laser scanning, ALS) currently represents the primary data source for three-dimensional information on forest vertical structure. Contrary, despite the potential of radar remote sensing, their use is not yet established in forest monitoring. In order to better understand the interaction of pulsed radar with the forest canopy, and to increase the feasibility of this system, the Finnish Geospatial Research Institute has developed a helicopter-borne profiling radar system, called TomoRadar. TomoRadar is capable of recording a canopy-penetrating profile of forests. To georeference the radar measurements the system was equipped with a global navigation satellite system and an inertial measurement unit with a centimeter level accuracy of the flight trajectory. The TomoRadar operates at Ku-band, (wave lengths λ 1.5cm) with two separated parabolic antennas providing co- and cross-polarization modes. The purpose of this work is to investigate the capability of the TomoRadar system, for estimating the forest vertical profile, terrain topography and tree height. We analysed 600 m TomoRadar crosspolarized (i.e. horizontal - vertical

  1. Quantitative precipitation estimation in complex orography using quasi-vertical profiles of dual polarization radar variables

    Science.gov (United States)

    Montopoli, Mario; Roberto, Nicoletta; Adirosi, Elisa; Gorgucci, Eugenio; Baldini, Luca

    2017-04-01

    Weather radars are nowadays a unique tool to estimate quantitatively the rain precipitation near the surface. This is an important task for a plenty of applications. For example, to feed hydrological models, mitigate the impact of severe storms at the ground using radar information in modern warning tools as well as aid the validation studies of satellite-based rain products. With respect to the latter application, several ground validation studies of the Global Precipitation Mission (GPM) products have recently highlighted the importance of accurate QPE from ground-based weather radars. To date, a plenty of works analyzed the performance of various QPE algorithms making use of actual and synthetic experiments, possibly trained by measurement of particle size distributions and electromagnetic models. Most of these studies support the use of dual polarization variables not only to ensure a good level of radar data quality but also as a direct input in the rain estimation equations. Among others, one of the most important limiting factors in radar QPE accuracy is the vertical variability of particle size distribution that affects at different levels, all the radar variables acquired as well as rain rates. This is particularly impactful in mountainous areas where the altitudes of the radar sampling is likely several hundred of meters above the surface. In this work, we analyze the impact of the vertical profile variations of rain precipitation on several dual polarization radar QPE algorithms when they are tested a in complex orography scenario. So far, in weather radar studies, more emphasis has been given to the extrapolation strategies that make use of the signature of the vertical profiles in terms of radar co-polar reflectivity. This may limit the use of the radar vertical profiles when dual polarization QPE algorithms are considered because in that case all the radar variables used in the rain estimation process should be consistently extrapolated at the surface

  2. Evaluation of an Extended Autocorrelation Phase Estimator for Ultrasonic Velocity Profiles Using Nondestructive Testing Systems.

    Science.gov (United States)

    Ofuchi, César Yutaka; Coutinho, Fabio Rizental; Neves, Flávio; de Arruda, Lucia Valéria Ramos; Morales, Rigoberto Eleazar Melgarejo

    2016-08-09

    In this paper the extended autocorrelation velocity estimator is evaluated and compared using a nondestructive ultrasonic device. For this purpose, three velocity estimators are evaluated and compared. The autocorrelation method (ACM) is the most used and well established in current ultrasonic velocity profiler technology, however, the technique suffers with phase aliasing (also known as the Nyquist limit) at higher velocities. The cross-correlation method (CCM) is also well known and does not suffer with phase aliasing as it relies on time shift measurements between emissions. The problem of this method is the large computational burden due to several required mathematical operations. Recently, an extended autocorrelation method (EAM) which combines both ACM and CCM was developed. The technique is not well known within the fluid engineering community, but it can measure velocities beyond the Nyquist limit without the ACM phase aliasing issues and with a lower computational cost than CCM. In this work, all three velocity estimation methods are used to measure a uniform flow of the liquid inside a controlled rotating cylinder. The root-mean-square deviation variation coefficient (CVRMSD) of the velocity estimate and the reference cylinder velocity was used to evaluate the three different methods. Results show that EAM correctly measures velocities below the Nyquist limit with less than 2% CVRMSD. Velocities beyond the Nyquist limit are only measured well by EAM and CCM, with the advantage of the former of being computationally 15 times faster. Furthermore, the maximum value of measurable velocity is also investigated considering the number of times the velocity surpasses the Nyquist limit. The combination of number of pulses and number of samples, which highly affects the results, are also studied in this work. Velocities up to six times the Nyquist limit could be measurable with CCM and EAM using a set of parameters as suggested in this work. The results validate

  3. Choice of satellite-based CO2 product (XCO¬2, vertical profile) alters surface CO2 flux estimate

    Science.gov (United States)

    Liu, J.; Bowman, K. W.; Lee, M.; Henze, D. K.; Fisher, J. B.; Frankenberg, C.; Polhamus, A.

    2011-12-01

    The ACOS (Atmospheric CO2 Observations from Space) algorithm provides column-averaged CO2 products in units of dry-air mole fraction (XCO2) based on GOSAT radiances. However, XCO2 is derived from a linear transformation of the CO2 vertical profiles estimated from the ACOS retrieval algorithm. In theory, XCO2 vertical columns should provide no more information than the original CO2 profiles. However, the different sensitivities of either CO2 profiles or XCO2 to transport errors can significantly alter surface CO2 flux estimates. Though it has been argued that XCO2 may be less sensitive to transport error than CO2 vertical profiles, there is no study so far investigating the actual impact on surface CO2 flux estimation due to the choice of observation format, which could have significant impact on future satellite CO2 profile mission concepts. In this presentation, we will present the sensitivity of surface CO2 flux estimation to a suite of CO2 observation products, which includes CO2 vertical profiles, XCO2, and the lowest 3 levels of CO2 from CO2 vertical profiles. The CO2 observations are ACOS products covering from July 2009 to June 2010. We will present both OSSE and real observation experiments. In the OSSE experiments, we will present both perfect model experiments and experiments with model errors that are introduced by changing the planetary boundary height. In the real observations, we will show the annual and seasonal CO2 flux as function of regions from using the three observation products. The accuracy of CO2 flux estimation will be examined by comparing CO2 concentrations forced by posterior CO2 flux to independent CO2 observations. The surface CO2 flux estimation framework is based on GEOS-Chem adjoint model that is developed by the Carbon Monitoring Study flux pilot project.

  4. Evaluation of methods to estimate the essential amino acids requirements of fish from the muscle amino acid profile

    OpenAIRE

    de Almeida Bicudo,Álvaro José; Possebon Cyrino,José Eurico

    2014-01-01

    Many methods to estimate amino acid requirement based on amino acid profile of fish have been proposed. This study evaluates the methodology proposed by Meyer & Fracalossi (2005) and by Tacon (1989) to estimate amino acids requirement of fish, which do exempt knowledge on previous nutritional requirement of reference amino acid. Data on amino acid requirement of pacu, Piaractus mesopotamicus, were used to validate de accuracy of those methods. Meyer & Fracalossi's and Tacon's methodol...

  5. Estimation of Hypertension Risk from Lifestyle Factors and Health Profile: A Case Study

    Directory of Open Access Journals (Sweden)

    Zhuoyuan Zheng

    2014-01-01

    Full Text Available Hypertension is a highly prevalent risk factor for cardiovascular disease and it can also lead to other diseases which seriously harm the human health. Screening the risks and finding a clinical model for estimating the risk of onset, maintenance, or the prognosis of hypertension are of great importance to the prevention or treatment of the disease, especially if the indicator can be derived from simple health profile. In this study, we investigate a chronic disease questionnaire data set of 6563 rural citizens in East China and find out a clinical signature that can assess the risk of hypertension easily and accurately. The signature achieves an accuracy of about 83% on the external test dataset, with an AUC of 0.91. Our study demonstrates that a combination of simple lifestyle features can sufficiently reflect the risk of hypertension onset. This finding provides potential guidance for disease prevention and control as well as development of home care and home-care technologies.

  6. Estimates of boundary layer parameters using measured wind and temperature profile near the ground

    Science.gov (United States)

    Popov, Z.; Rajkovic, B.

    2009-09-01

    In almost every application related to planetary boundary layer, PBL, two parameters are of the most relevance, "friction" velocity and PBL height. The first is connected to near surface processes, while the second one appears in the problems related to the whole BL or its substantial portions. One of the most famous parametrizations of the of the PBL height is h ~u*o- f. This paper looks into this formulation for different stability classes and mean daily variation of wind and these parameters, using the approach made by Holstlag (1984), to estimate diabatic wind profile where zo is independent of stability, but depends on wind direction. The second procedure used here is the one suggested by Kramm (1989), where zo is a function of stability and u*o depends on zo and L, the Monin-Obukhov length scale, and all of them, u_*o, zo and L, are simultaneously calculated through the least square method. From these parameters two methods for wind extrapolations with height are analyzed, Beljaars and Holstlag (1990), and Grining amd Batchvarova (2007). The wind data came form the Caubauw wind mast 1987, while the second set is wind and temperature gradient from the Panonian region, synoptic weather station 13168 near the city of Novi Sad, Serbia. Finally we analyze the difference between extrapolated and measured wind speed at Caubauw mast for different values of friction velocity, roughness length and Obukhov length.

  7. Estimation of population profiles of two strains of the fly Megaselia scalaris (Diptera: Phoridae) by bootstrap simulation.

    Science.gov (United States)

    Manzato, A J; Tadei, W J; Cordeiro, J A

    2000-08-01

    Based on experimental population profiles of strains of the fly Megaselia scalaris (Phoridae), the minimal number of sample profiles was determined that should be repeated by bootstrap simulation process in order to obtain a confident estimation of the mean population profile and present estimations of the standard error as a precise measure of the simulations made. The original data are from experimental populations founded with SR and R4 strains, with three replicates, which were kept for 33 weeks by serial transfer technique in a constant temperature room (25 +/- 1.0 degrees C). The variable used was population size and the model adopted for each profile was a stationary stochastic process. By these simulations, the three experimental population profiles were enlarged so as to determine minimum sample size. After sample size was determined, bootstrap simulations were made in order to calculate confidence intervals and to compare the mean population profiles of these two strains. The results show that with a minimum sample size of 50, stabilization of means begins.

  8. Estimation of rainfall inputs and direct recharge to the deep unsaturated zone of southern Niger using the chloride profile method.

    NARCIS (Netherlands)

    Bromley, J.; Edmunds, W.M.; Fellman, E.; Brouwer, J.; Gaze, S.R.; Sudlow, J.; Taupin, J.D.

    1997-01-01

    An estimate of direct groundwater recharge below a region of natural woodland (tiger bush) has been made in south-west Niger using the solute profile technique. Data has been collected from a 77 m deep well dug within the study area covered by HAPEX-Sahel (Hydrological and Atmospheric Pilot

  9. Modeling the vertical soil organic matter profile using Bayesian parameter estimation

    NARCIS (Netherlands)

    Braakhekke, M.C.; Wutzler, T.; Beer, C.; Kattge, J.; Schrumpf, M.; Ahrens, B.; Schoning, I.; Hoosbeek, M.R.; Kruijt, B.; Kabat, P.; Reichstein, M.

    2013-01-01

    The vertical distribution of soil organic matter (SOM) in the profile may constitute an important factor for soil carbon cycling. However, the formation of the SOM profile is currently poorly understood due to equifinality, caused by the entanglement of several processes: input from roots, mixing

  10. Modeling the vertical soil organic matter profile using Bayesian parameter estimation

    NARCIS (Netherlands)

    Braakhekke, M.C.; Wutzler, T.; Beer, C.; Kattge, J.; Schrumpf, M.; Schöning, I.; Hoosbeek, M.R.; Kruijt, B.; Kabat, P.

    2012-01-01

    The vertical distribution of soil organic matter (SOM) in the profile may constitute a significant factor for soil carbon cycling. However, the formation of the SOM profile is currently poorly understood due to equifinality, caused by the entanglement of several processes: input from roots, mixing

  11. The Use of Temperature Profiles Through Unsaturated Soils to Estimate Short-term Rates of Natural Groundwater Recharge

    Science.gov (United States)

    Dripps, W. R.; Anderson, M. P.; Hunt, R. J.

    2001-05-01

    It has long been recognized that infiltration influences the vertical subsurface temperature profile. Many researchers have used changes in the temperature profile to quantify the rate of groundwater flow in saturated systems, e.g. in wetlands and streambeds. Others have considered coupled heat and flow transport through the unsaturated zone, but we are aware of only two groups (Taniguchi and Sharma, 1993; Tabbagh et al., 1999) who have previously used temperature profiles through the unsaturated zone to estimate rates of areally extensive groundwater recharge. Both groups looked at seasonal changes in soil temperature to estimate annual recharge rates, but no attempt was made to analyze individual recharge events. We collected hourly soil temperature measurements through the unsaturated zone at depths of 0.05, 0.2, 0.5, 1, and 3 meters at a site in the Trout Lake basin of northern Wisconsin for the past two years. VS2DH (Healy and Ronan, 1996), a two-dimensional, numerical, coupled heat and water flow model for variably saturated media, was used to simulate the thermocouple data and estimate rates of recharge for individual recharge events. Field studies including Guelph permeameter tests, slug tests, grain size analyses, bulk density estimates, and lab measurements of soil moisture characteristic curves were used to estimate the necessary hydraulic and thermal parameters for the model. The field data were supplemented by values reported in the literature, and further refined during model calibration. Recharge rates computed using temperature data were compared with estimates based on water level fluctuations and estimates obtained using simple water balance modeling.

  12. Dust vertical profile impact on global radiative forcing estimation using a coupled chemical-transport–radiative-transfer model

    Directory of Open Access Journals (Sweden)

    L. Zhang

    2013-07-01

    Full Text Available Atmospheric mineral dust particles exert significant direct radiative forcings and are important drivers of climate and climate change. We used the GEOS-Chem global three-dimensional chemical transport model (CTM coupled with the Fu-Liou-Gu (FLG radiative transfer model (RTM to investigate the dust radiative forcing and heating rate based on different vertical profiles for April 2006. We attempt to actually quantify the sensitivities of radiative forcing to dust vertical profiles, especially the discrepancies between using realistic and climatological vertical profiles. In these calculations, dust emissions were constrained by observations of aerosol optical depth (AOD. The coupled calculations utilizing a more realistic dust vertical profile simulated by GEOS-Chem minimize the physical inconsistencies between 3-D CTM aerosol fields and the RTM. The use of GEOS-Chem simulated vertical profile of dust extinction, as opposed to the FLG prescribed vertical profile, leads to greater and more spatially heterogeneous changes in the estimated radiative forcing and heating rate produced by dust. Both changes can be attributed to a different vertical structure between dust and non-dust source regions. Values of the dust vertically resolved AOD per grid level (VRAOD are much larger in the middle troposphere, though smaller at the surface when the GEOS-Chem simulated vertical profile is used, which leads to a much stronger heating rate in the middle troposphere. Compared to the FLG vertical profile, the use of GEOS-Chem vertical profile reduces the solar radiative forcing at the top of atmosphere (TOA by approximately 0.2–0.25 W m−2 over the African and Asian dust source regions. While the Infrared (IR radiative forcing decreases 0.2 W m−2 over African dust belt, it increases 0.06 W m−2 over the Asian dust belt when the GEOS-Chem vertical profile is used. Differences in the solar radiative forcing at the surface between the use of the GEOS-Chem and

  13. Evaluation of methods to estimate the essential amino acids requirements of fish from the muscle amino acid profile

    Directory of Open Access Journals (Sweden)

    Álvaro José de Almeida Bicudo

    2014-03-01

    Full Text Available Many methods to estimate amino acid requirement based on amino acid profile of fish have been proposed. This study evaluates the methodology proposed by Meyer & Fracalossi (2005 and by Tacon (1989 to estimate amino acids requirement of fish, which do exempt knowledge on previous nutritional requirement of reference amino acid. Data on amino acid requirement of pacu, Piaractus mesopotamicus, were used to validate de accuracy of those methods. Meyer & Fracalossi's and Tacon's methodology estimated the lysine requirement of pacu, respectively, at 13 and 23% above requirement determined using dose-response method. The values estimated by both methods lie within the range of requirements determined for other omnivorous fish species, the Meyer & Fracalossi (2005 method showing better accuracy.

  14. Inverse methods for estimating primary input signals from time-averaged isotope profiles

    Science.gov (United States)

    Passey, Benjamin H.; Cerling, Thure E.; Schuster, Gerard T.; Robinson, Todd F.; Roeder, Beverly L.; Krueger, Stephen K.

    2005-08-01

    Mammalian teeth are invaluable archives of ancient seasonality because they record along their growth axes an isotopic record of temporal change in environment, plant diet, and animal behavior. A major problem with the intra-tooth method is that intra-tooth isotope profiles can be extremely time-averaged compared to the actual pattern of isotopic variation experienced by the animal during tooth formation. This time-averaging is a result of the temporal and spatial characteristics of amelogenesis (tooth enamel formation), and also results from laboratory sampling. This paper develops and evaluates an inverse method for reconstructing original input signals from time-averaged intra-tooth isotope profiles. The method requires that the temporal and spatial patterns of amelogenesis are known for the specific tooth and uses a minimum length solution of the linear system Am = d, where d is the measured isotopic profile, A is a matrix describing temporal and spatial averaging during amelogenesis and sampling, and m is the input vector that is sought. Accuracy is dependent on several factors, including the total measurement error and the isotopic structure of the measured profile. The method is shown to accurately reconstruct known input signals for synthetic tooth enamel profiles and the known input signal for a rabbit that underwent controlled dietary changes. Application to carbon isotope profiles of modern hippopotamus canines reveals detailed dietary histories that are not apparent from the measured data alone. Inverse methods show promise as an effective means of dealing with the time-averaging problem in studies of intra-tooth isotopic variation.

  15. Vertical Jump Height Estimation Algorithm based on Vertical Acceleration Profile Characteristics via Foot-Worn Inertial Sensing.

    Science.gov (United States)

    Wang, Jianren; Xu, Junkai; Shull, Peter B

    2017-12-13

    Vertical jump height is widely used for assessing motor development, functional ability, and motor capacity. Traditional methods for estimating vertical jump height rely on force plates or optical marker-based motion capture systems limiting assessment to people with access to specialized laboratories. This paper presents a novel algorithm for estimating vertical jump height based on foot-worn inertial sensors. Twenty healthy subjects performed countermovement jumping trials and maximum jump height was determined via inertial sensors located above the toe and under the heel and was compared with the gold standard maximum jump height estimation via optical marker-based motion capture. Vertical jump height estimation with the presented algorithm via inertial sensing showed excellent reliability at the toe (ICC_(2,1)=0.98) and heel (ICC_(2,1)=0.97). There was no significant bias in the inertial sensing at the toe, but proportional bias (b=1.22) and fixed bias (a=-10.23 cm) were detected in inertial sensing at the heel. Average vertical jump height estimation errors from inertial sensing at the toe and heel were -2.2±2.1 cm and -0.4±3.8 cm, respectively. These results indicate that the presented algorithm could be applied to foot-worn inertial sensors to estimate maximum jump height enabling assessment outside of traditional laboratory settings, and to avoid bias errors, the toe may be a more suitable location for inertial sensor placement than the heel.

  16. Profile soil property estimation using a VIS-NIR-EC-force probe

    Science.gov (United States)

    Combining data collected in-field from multiple soil sensors has the potential to improve the efficiency and accuracy of soil property estimates. Optical diffuse reflectance spectroscopy (DRS) has been used to estimate many important soil properties, such as soil carbon, water content, and texture. ...

  17. Estimation of soil profile physical and chemical properties using a VIS-NIR-EC-force probe

    Science.gov (United States)

    Combining data collected in-field from multiple soil sensors has the potential to improve the efficiency and accuracy of soil property estimates. Optical diffuse reflectance spectroscopy (DRS) has been used to estimate many important soil properties, such as soil carbon, water content, and texture. ...

  18. Analytic quantification of bias and variance of coil sensitivity profile estimators for improved image reconstruction in MRI.

    Science.gov (United States)

    Stamm, Aymeric; Singh, Jolene; Afacan, Onur; Warfield, Simon K

    2015-10-01

    Magnetic resonance (MR) imaging provides a unique in-vivo capability of visualizing tissue in the human brain non-invasively, which has tremendously improved patient care over the past decades. However, there are still prominent artifacts, such as intensity inhomogeneities due to the use of an array of receiving coils (RC) to measure the MR signal or noise amplification due to accelerated imaging strategies. It is critical to mitigate these artifacts for both visual inspection and quantitative analysis. The cornerstone to address this issue pertains to the knowledge of coil sensitivity profiles (CSP) of the RCs, which describe how the measured complex signal decays with the distance to the RC. Existing methods for CSP estimation share a number of limitations: (i) they primarily focus on CSP magnitude, while it is known that the solution to the MR image reconstruction problem involves complex CSPs and (ii) they only provide point estimates of the CSPs, which makes the task of optimizing the parameters and acquisition protocol for their estimation difficult. In this paper, we propose a novel statistical framework for estimating complex-valued CSPs. We define a CSP estimator that uses spatial smoothing and additional body coil data for phase normalization. The main contribution is to provide detailed information on the statistical distribution of the CSP estimator, which yields automatic determination of the optimal degree of smoothing for ensuring minimal bias and provides guidelines to the optimal acquisition strategy.

  19. Experimental estimation of the photons visiting probability profiles in time-resolved diffuse reflectance measurement.

    Science.gov (United States)

    Sawosz, P; Kacprzak, M; Weigl, W; Borowska-Solonynko, A; Krajewski, P; Zolek, N; Ciszek, B; Maniewski, R; Liebert, A

    2012-12-07

    A time-gated intensified CCD camera was applied for time-resolved imaging of light penetrating in an optically turbid medium. Spatial distributions of light penetration probability in the plane perpendicular to the axes of the source and the detector were determined at different source positions. Furthermore, visiting probability profiles of diffuse reflectance measurement were obtained by the convolution of the light penetration distributions recorded at different source positions. Experiments were carried out on homogeneous phantoms, more realistic two-layered tissue phantoms based on the human skull filled with Intralipid-ink solution and on cadavers. It was noted that the photons visiting probability profiles depend strongly on the source-detector separation, the delay between the laser pulse and the photons collection window and the complex tissue composition of the human head.

  20. What factors enable the production of a high profile LGBT assembly and facilitate a culture more accepting of LGBT students at The BRIT School?

    OpenAIRE

    Offen, Michael

    2012-01-01

    This ethnographic study explores both what is present and what is absent at The BRIT School for Performing Arts and Technology to allow a high profile LGBT assembly and a more accepting culture for LGBT students. The research is framed around historic and modern discourses of sexuality, including Section 28, its impact on schools and the legacy it has left behind. Unlike the existing literature that finds schools to be unsupportive environments for LGBT students and teachers, this study finds...

  1. Estimating genetic parameters for fertility in dairy cows from in-line milk progesterone profiles

    NARCIS (Netherlands)

    Tenghe, A.M.M.; Bouwman, A.C.; Berglund, B.; Strandberg, E.; Blom, J.; Veerkamp, R.F.

    2015-01-01

    The aim of this study was to define endocrine fertility traits from in-line milk progesterone (P4) records and to estimate genetic parameters for these traits. Correlations of classical fertility (calving interval and calving to first service) and milk production traits with endocrine fertility

  2. Numerical method for the estimation of column radial heterogeneity and of the actual column efficiency from tailing peak profiles.

    Science.gov (United States)

    Miyabe, Kanji; Guiochon, Georges

    2011-01-01

    It is probably impossible to prepare high-performance liquid chromatography (HPLC) columns that have a completely homogeneous packing structure. Many reports in the literature show that the radial distributions of the mobile phase flow velocity and the local column efficiency are not flat, even in columns considered as good. A degree of radial heterogeneity seems to be a common property of all HPLC columns and an important source of peak tailing, which prevents the derivation of accurate information on chromatographic behavior from a straightforward analysis of elution peak profiles. This work reports on a numerical method developed to derive from recorded peak profiles the column efficiency at the column center, the degree of column radial heterogeneity, and the polynomial function that best represents the radial distributions of the flow velocity and the column efficiency. This numerical method was applied to two concrete examples of tailing peak profiles previously described. It was demonstrated that this numerical method is effective to estimate important parameters characterizing the radial heterogeneity of chromatographic columns.

  3. Enabling Predictive Simulation and UQ of Complex Multiphysics PDE Systems by the Development of Goal-Oriented Variational Sensitivity Analysis and a-Posteriori Error Estimation Methods

    Energy Technology Data Exchange (ETDEWEB)

    Estep, Donald [Colorado State Univ., Fort Collins, CO (United States)

    2015-11-30

    This project addressed the challenge of predictive computational analysis of strongly coupled, highly nonlinear multiphysics systems characterized by multiple physical phenomena that span a large range of length- and time-scales. Specifically, the project was focused on computational estimation of numerical error and sensitivity analysis of computational solutions with respect to variations in parameters and data. In addition, the project investigated the use of accurate computational estimates to guide efficient adaptive discretization. The project developed, analyzed and evaluated new variational adjoint-based techniques for integration, model, and data error estimation/control and sensitivity analysis, in evolutionary multiphysics multiscale simulations.

  4. Estimation of source infrared spectra profiles of acetylspiramycin active components from troches using kernel independent component analysis

    Science.gov (United States)

    Wang, Guoqing; Ding, Qingzhu; Sun, Yu'an; He, Linghao; Sun, Xiaoli

    2008-08-01

    Kernel independent component analysis (KICA), a kind of independent component analysis (ICA) algorithms based on kernel, was preliminarily investigated for blind source separation (BSS) of source spectra profiles from troches. The robustness of different ICA algorithms (KICA, FastICA and Infomax) was first checked by using them in the retrieval of source infrared (IR), ultraviolet (UV) and mass spectra (MS) from synthetic mixtures. It was found that KICA is the most robust method for retrieval of source spectra profiles. KICA algorithm is subsequently adopted in the analysis of diffuse reflection IR of acetylspiramycin (ASPM) troches. It is observed that KICA is able to isolate the theoretically predicted spectral features corresponding to the ASPM active components, excipients and other minor components as different independent (spectral) component. A troche can be authenticated and semi-quantified using the estimated ICs. KICA is an useful method for estimation of source spectral features of molecules with different geometry and stoichiometry, while features belonging to very similar molecules remain grouped.

  5. Resemblance profiles as clustering decision criteria: Estimating statistical power, error, and correspondence for a hypothesis test for multivariate structure.

    Science.gov (United States)

    Kilborn, Joshua P; Jones, David L; Peebles, Ernst B; Naar, David F

    2017-04-01

    Clustering data continues to be a highly active area of data analysis, and resemblance profiles are being incorporated into ecological methodologies as a hypothesis testing-based approach to clustering multivariate data. However, these new clustering techniques have not been rigorously tested to determine the performance variability based on the algorithm's assumptions or any underlying data structures. Here, we use simulation studies to estimate the statistical error rates for the hypothesis test for multivariate structure based on dissimilarity profiles (DISPROF). We concurrently tested a widely used algorithm that employs the unweighted pair group method with arithmetic mean (UPGMA) to estimate the proficiency of clustering with DISPROF as a decision criterion. We simulated unstructured multivariate data from different probability distributions with increasing numbers of objects and descriptors, and grouped data with increasing overlap, overdispersion for ecological data, and correlation among descriptors within groups. Using simulated data, we measured the resolution and correspondence of clustering solutions achieved by DISPROF with UPGMA against the reference grouping partitions used to simulate the structured test datasets. Our results highlight the dynamic interactions between dataset dimensionality, group overlap, and the properties of the descriptors within a group (i.e., overdispersion or correlation structure) that are relevant to resemblance profiles as a clustering criterion for multivariate data. These methods are particularly useful for multivariate ecological datasets that benefit from distance-based statistical analyses. We propose guidelines for using DISPROF as a clustering decision tool that will help future users avoid potential pitfalls during the application of methods and the interpretation of results.

  6. Estimation of canopy height using lidar and radar interferometry: an assessment of combination methods and sensitivity to instrument, terrain and canopy height profile

    Science.gov (United States)

    Simard, M.; Neumann, M.; Pinto, N.; Brolly, M.; Brigot, G.

    2014-12-01

    The combined use of Lidar and radar interferometry to estimate canopy height can be classified into 3 categories: cross-validation, simple combination and fusion methods. In this presentation, we investigate the potential of each category for local and regional scale applications, and assess their sensitivity to instrument configuration, terrain topography and variations in the vertical forest canopy profiles. In addition to field data, we use data from TanDEM-X, UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar), LVIS (Laser Vegetation Imaging Sensor) and a commercial discrete lidar. TanDEM-X is a pair of X-band spaceborne radars flying in formation to provide a global digital surface model and can also be used to perform polarimetric synthetic aperture radar (polinSAR) inversion of canopy height. The UAVSAR is an airborne fully polarimetric radar enabling repeat-pass interferometry and has been used for polinsar. While LVIS records the full waveform within a 20m footprint, the discrete lidar collects a cloud of points. The lidar data can be used to validate the polinSAR results (validation), to obtain ground elevation (simple combination with radar surface models) or within the polinSAR inversion model through a common model framework. The data was collected over the Laurentides Wildlife Reserve, a managed territory covering 7861km2 which is located between Québec city and Saguenay. The variety of management practices offers the possibility for long term and comparative studies of natural forest dynamics as well as the impact of human, fires and insect disturbances. The large elevational gradient of the region (~1000m) allows study of variations in structure and type of forests. Depending on the method used, several factors may degrade the accuracy of canopy height estimates from the combined use of lidar and radar interferometry. Here we will consider misregistration of datasets, differences in spatial resolution and viewing geometry, geometric

  7. Quality by Design (QbD)-enabled development of aceclofenac loaded-nano structured lipid carriers (NLCs): An improved dermatokinetic profile for inflammatory disorder(s).

    Science.gov (United States)

    Garg, Neeraj K; Sharma, Gajanand; Singh, Bhupinder; Nirbhavane, Pradip; Tyagi, Rajeev K; Shukla, Rahul; Katare, O P

    2017-01-30

    Present study was designed to prepare and characterize aceclofenac loaded nanostructured lipid carriers (NLCs) employing Quality by Design (QbD)-oriented approach. The NLCs were evaluated for their transdermal penetration potential and stability. Aceclofenac loaded nanostructured lipid carriers (NLCs) were prepared & characterized, by employing Quality by Design (QbD)-oriented approach and further evaluated for transdermal penetration potential and stability. Different lipids and surfactants were chosen to prepare NLCs using microemulsion method as critical material attributes (CMAs). A 3(3) factorial design was used for optimization of NLCs, and evaluating them for different critical quality attributes (CQAs), viz. particle size, polydispersity index (PDI), zeta potential, in vitro drug release, entrapment efficiency. The effect of CMAs such as lipids, oil: lipid ratio and concentration of surfactants on CQAs viz. drug entrapment efficiency and particle size were systematically evaluated to optimize NLCs. The optimized NLCs were further incorporated into carbopol gel and characterized for texture and rheology profile followed by in vitro and in vivo evaluations. The optimized ACE-NLCs were found to be spherical, nanometric in size with higher drug loading and entrapment efficiency. Results of the in vitro drug release study showed that the developed formulation followed Korsmeyer-Peppas model showing Fickian diffusion. The release was biphasic i.e., initial burst release followed by sustained drug release upto 48h. The optimized NLCs-based gel formulation showed superior texture, rheological profile and showed better cell uptake efficiency on hyperkeratinocytic cells (HaCaT cell lines) with higher ex vivo skin permeability efficiency vis-à-vis marketed formulation. In conclusion, dermatokinetic modeling and pharmacodynamic study using carrageenan induced edema mice suggests that aceclofenac loaded NLCs hydrogel may provide a better delivery alternative to target

  8. Estimating Uncertainties in the Multi-Instrument SBUV Profile Ozone Merged Data Set

    Science.gov (United States)

    Frith, Stacey; Stolarski, Richard

    2015-01-01

    The MOD data set is uniquely qualified for use in long-term ozone analysis because of its long record, high spatial coverage, and consistent instrument design and algorithm. The estimated MOD uncertainty term significantly increases the uncertainty over the statistical error alone. Trends in the post-2000 period are generally positive in the upper stratosphere, but only significant at 1-1.6 hPa. Remaining uncertainties not yet included in the Monte Carlo model are Smoothing Error ( 1 from 10 to 1 hPa) Relative calibration uncertainty between N11 and N17Seasonal cycle differences between SBUV records.

  9. Model for temperature profile estimation in the refractory of a metallurgical ladle

    Science.gov (United States)

    Fredman, T. P.; Saxén, H.

    1998-06-01

    Modeling of the transient thermal state of metallurgical ladels is motivated by the need for estimating the drop in temperature of the liquid metal in the ladle. On-line estimation of the state is required, since the same ladle is used in a number of casting cycles with rapid changes in boundary conditions for the temperature field, and the conditions in the current as well as previous cycles affect the thermal state. Although a large number of methods for the numerical solution of conduction-diffusion partial differential equations have been developed, there are still advantages to keeping thermal field computations at a relatively simple level, in contrast to the situation in the design process of ladles, where two-dimensional modeling may be required. Extensive computations under nonverifiable boundary and initial parameter values are not especially suited for real-time simulation of industrial processes. This article presents a novel approach to the solution of the one-dimensional transient heat conduction problem applied to ladle linings, relying on classical analytical techniques in combination with numerical methods. The performance of the model was validated by a comparison of predictions to thermocouple measurements from the refractory of a steelmaking ladle during a campaign of 26 casting cycles. Reasonable agreement between the measured and simulated variables could be established, which demonstrates the feasibility of the approach.

  10. Kernel density estimation and K-means clustering to profile road accident hotspots.

    Science.gov (United States)

    Anderson, Tessa K

    2009-05-01

    Identifying road accident hotspots is a key role in determining effective strategies for the reduction of high density areas of accidents. This paper presents (1) a methodology using Geographical Information Systems (GIS) and Kernel Density Estimation to study the spatial patterns of injury related road accidents in London, UK and (2) a clustering methodology using environmental data and results from the first section in order to create a classification of road accident hotspots. The use of this methodology will be illustrated using the London area in the UK. Road accident data collected by the Metropolitan Police from 1999 to 2003 was used. A kernel density estimation map was created and subsequently disaggregated by cell density to create a basic spatial unit of an accident hotspot. Appended environmental data was then added to the hotspot cells and using K-means clustering, an outcome of similar hotspots was deciphered. Five groups and 15 clusters were created based on collision and attribute data. These clusters are discussed and evaluated according to their robustness and potential uses in road safety campaigning.

  11. Estimation of Mineral and Trace Element Profile in Bubaline Milk Affected with Subclinical Mastitis.

    Science.gov (United States)

    Singh, Mahavir; Yadav, Poonam; Sharma, Anshu; Garg, V K; Mittal, Dinesh

    2017-04-01

    The milk samples from buffaloes of Murrah breed at mid lactation stage, reared at an organised dairy farm, were screened for subclinical mastitis based on bacteriological examination and somatic cell count following International Dairy Federation criteria. Milk samples from subclinical mastitis infected and healthy buffaloes were analysed to evaluate physicochemical alterations in terms of protein, fat, pH, electrical conductivity, chloride, minerals (sodium, potassium and calcium) and trace elements (iron, zinc, copper and selenium). In the present study, protein, fat, zinc, iron, calcium and selenium content was significantly lower (P < 0.001), while pH and electrical conductivity were significantly higher in mastitic milk as compared to normal milk. Concentration of electrolytes mainly sodium and chloride significantly increased with higher somatic cell count in mastitic milk and to maintain osmolality; potassium levels decreased proportionately. Correlation matrix revealed significantly positive interdependences of somatic cell count with pH, electrical conductivity, sodium and chloride. However, protein, fat, calcium and potassium were correlated negatively with elevated somatic cell count in mastitic milk. It is concluded that udder infections resulting in elevated somatic cells may alter the mineral and trace element profile of milk, and magnitude of changes may have diagnostic and prognostic value.

  12. Statewide estimates of stalking among high school students in Kentucky: demographic profile and sex differences.

    Science.gov (United States)

    Fisher, Bonnie S; Coker, Ann L; Garcia, Lisandra S; Williams, Corrine M; Clear, Emily R; Cook-Craig, Patricia G

    2014-10-01

    This large, statewide sample from 26 high schools provided the first population-based estimates of stalking victimization and perpetration among adolescent females and males. Our stalking definition required that pursuing tactics occurred at least 3 times in the past 12 months and included being followed, spied on, or monitored; someone showed up or waited for you when you did not want them to; and receiving unwanted messages. Among 18,013 students, 16.5% disclosed being stalked and 5.3% stalking; 2.8% disclosed both stalking victimization and perpetration. A majority of students reported being most afraid of a former boyfriend or girlfriend as the stalker. © The Author(s) 2014.

  13. Enabling Predictive Simulation and UQ of Complex Multiphysics PDE Systems by the Development of Goal-Oriented Variational Sensitivity Analysis and A Posteriori Error Estimation Methods

    Energy Technology Data Exchange (ETDEWEB)

    Ginting, Victor

    2014-03-15

    it was demonstrated that a posteriori analyses in general and in particular one that uses adjoint methods can accurately and efficiently compute numerical error estimates and sensitivity for critical Quantities of Interest (QoIs) that depend on a large number of parameters. Activities include: analysis and implementation of several time integration techniques for solving system of ODEs as typically obtained from spatial discretization of PDE systems; multirate integration methods for ordinary differential equations; formulation and analysis of an iterative multi-discretization Galerkin finite element method for multi-scale reaction-diffusion equations; investigation of an inexpensive postprocessing technique to estimate the error of finite element solution of the second-order quasi-linear elliptic problems measured in some global metrics; investigation of an application of the residual-based a posteriori error estimates to symmetric interior penalty discontinuous Galerkin method for solving a class of second order quasi-linear elliptic problems; a posteriori analysis of explicit time integrations for system of linear ordinary differential equations; derivation of accurate a posteriori goal oriented error estimates for a user-defined quantity of interest for two classes of first and second order IMEX schemes for advection-diffusion-reaction problems; Postprocessing finite element solution; and A Bayesian Framework for Uncertain Quantification of Porous Media Flows.

  14. Empirical model for estimating vertical concentration profiles of re-suspended, sediment-associated contaminants

    Science.gov (United States)

    Zhu, H. W.; Cheng, P. D.; Li, W.; Chen, J. H.; Pang, Y.; Wang, D. Z.

    2017-10-01

    Vertical distribution processes of sediment contaminants in water were studied by flume experiments. Experimental results show that settling velocity of sediment particles and turbulence characteristics are the major hydrodynamic factors impacting distribution of pollutants, especially near the bottom where particle diameter is similar in size to vortex structure. Sediment distribution was uniform along the distance, while contaminant distribution slightly lagged behind the sediment. The smaller the initial sediment concentration was, the more time it took to achieve a uniform concentration distribution for suspended sediment. A contaminants transportation equation was established depending on mass conservation equations. Two mathematical estimation models of pollutant distribution in the overlying water considering adsorption and desorption were devised based on vertical distribution of suspended sediment: equilibrium partition model and dynamic micro-diffusion model. The ratio of time scale between the sediment movement and sorption can be used as the index of the models. When this ratio was large, the equilibrium assumption was reasonable, but when it was small, it might require dynamic micro-diffusion model.

  15. Artificial neural network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for post mortem interval estimation.

    Science.gov (United States)

    Butcher, J B; Moore, H E; Day, C R; Adam, C D; Drijfhout, F P

    2013-10-10

    In analytical chemistry large datasets are collected using a variety of instruments for multiple tasks, where manual analysis can be time-consuming. Ideally, it is desirable to automate this process while obtaining an acceptable level of accuracy, two aims that artificial neural networks (ANNs) can fulfil. ANNs possess the ability to classify novel data based on their knowledge of the domain to which they have been exposed. ANNs can also analyse non-linear data, tolerate noise within data and are capable of reducing time taken to classify large amounts of novel data once trained, making them well-suited to the field of analytical chemistry where large datasets are present (such as that collected from gas chromatography-mass spectrometry (GC-MS)). In this study, the use of ANNs for the autonomous analysis of GC-MS profiles of Lucilia sericata larvae is investigated, where ANNs are required to estimate the age of the larvae to aid in the estimation of the post mortem interval (PMI). Two ANN analysis approaches are presented, where the ANN correctly classified the data with accuracy scores of 80.8% and 87.7% and Cohen's Kappa coefficients of 0.78 and 0.86. Inspection of these results shows the ANN to confuse two consecutive days which are of the same life stage and as a result are very similar in their chemical profile, which can be expected. The grouping of these two days into one class further improved results where accuracy scores 89% and 97.5% were obtained for the two analysis approaches. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  16. Cardiopulmonary exercise testing in small abdominal aortic aneurysm: profile, safety, and mortality estimates.

    Science.gov (United States)

    Myers, Jonathan; Powell, Alyssa; Smith, Kimberly; Fonda, Holly; Dalman, Ronald L

    2011-06-01

    Few data are available regarding exercise testing in patients with abdominal aortic aneurysm (AAA) disease. The purpose of this study was to evaluate safety and to characterize the hemodynamic and cardiopulmonary (CPX) response to exercise in a large group of patients with AAA. Three hundred and six patients with AAA ≥3.0 to ≤5.0 cm (mean 72 ± 8 years) underwent CPX as part of a randomized trial of exercise training. CPX and hemodynamic responses, ischemic events, rhythm disturbances, and risk estimates based on treadmill scores were quantified and compared to an age-matched group of 2155 veterans referred for exercise testing for clinical reasons. Peak VO(2) was similar between patients with AAA and the referral group (20.0 ± 6 ml/kg/min; 77 percent of age-predicted and 20.3 ± 7 ml/kg/min; 80 percent of age-predicted, respectively). The incidence of exercise-induced hypotension and hypertension was higher in AAA patients versus the referral group (2.9 and 3.6 percent vs mortality, respectively, were similar between groups. Patients with AAA have a slightly higher incidence of hyper- and hypotensive responses to exercise than age-matched referrals, but no serious events related to CPX occurred. AAA patients can undergo maximal CPX safely and have risk scores based on treadmill test results that are similar to age-matched referral subjects. These findings extend recent studies using sub-maximal evaluations to stratify risk in patients considered for surgery, and support the routine use of exercise testing for risk evaluation and the functional assessment of patients with AAA.

  17. A newly-developed community microarray resource for transcriptome profiling in Brassica species enables the confirmation of Brassica-specific expressed sequences

    Directory of Open Access Journals (Sweden)

    Hurban Patrick

    2009-05-01

    Full Text Available Abstract Background The Brassica species include an important group of crops and provide opportunities for studying the evolutionary consequences of polyploidy. They are related to Arabidopsis thaliana, for which the first complete plant genome sequence was obtained and their genomes show extensive, although imperfect, conserved synteny with that of A. thaliana. A large number of EST sequences, derived from a range of different Brassica species, are available in the public database, but no public microarray resource has so far been developed for these species. Results We assembled unigenes using ~800,000 EST sequences, mainly from three species: B. napus, B. rapa and B. oleracea. The assembly was conducted with the aim of co-assembling ESTs of orthologous genes (including homoeologous pairs of genes in B. napus from each of the A and C genomes, but resolving assemblies of paralogous, or paleo-homoeologous, genes (i.e. the genes related by the ancestral genome triplication observed in diploid Brassica species. 90,864 unique sequence assemblies were developed. These were incorporated into the BAC sequence annotation for the Brassica rapa Genome Sequencing Project, enabling the identification of cognate genomic sequences for a proportion of them. A 60-mer oligo microarray comprising 94,558 probes was developed using the unigene sequences. Gene expression was analysed in reciprocal resynthesised B. napus lines and the B. oleracea and B. rapa lines used to produce them. The analysis showed that significant expression could consistently be detected in leaf tissue for 35,386 unigenes. Expression was detected across all four genotypes for 27,355 unigenes, genome-specific expression patterns were observed for 7,851 unigenes and 180 unigenes displayed other classes of expression pattern. Principal component analysis (PCA clearly resolved the individual microarray datasets for B. rapa, B. oleracea and resynthesised B. napus. Quantitative differences in

  18. Flow Cytometry Pulse Width Data Enables Rapid and Sensitive Estimation of Biomass Dry Weight in the Microalgae Chlamydomonas reinhardtii and Chlorella vulgaris

    Science.gov (United States)

    Chioccioli, Maurizio; Hankamer, Ben; Ross, Ian L.

    2014-01-01

    Dry weight biomass is an important parameter in algaculture. Direct measurement requires weighing milligram quantities of dried biomass, which is problematic for small volume systems containing few cells, such as laboratory studies and high throughput assays in microwell plates. In these cases indirect methods must be used, inducing measurement artefacts which vary in severity with the cell type and conditions employed. Here, we utilise flow cytometry pulse width data for the estimation of cell density and biomass, using Chlorella vulgaris and Chlamydomonas reinhardtii as model algae and compare it to optical density methods. Measurement of cell concentration by flow cytometry was shown to be more sensitive than optical density at 750 nm (OD750) for monitoring culture growth. However, neither cell concentration nor optical density correlates well to biomass when growth conditions vary. Compared to the growth of C. vulgaris in TAP (tris-acetate-phosphate) medium, cells grown in TAP + glucose displayed a slowed cell division rate and a 2-fold increased dry biomass accumulation compared to growth without glucose. This was accompanied by increased cellular volume. Laser scattering characteristics during flow cytometry were used to estimate cell diameters and it was shown that an empirical but nonlinear relationship could be shown between flow cytometric pulse width and dry weight biomass per cell. This relationship could be linearised by the use of hypertonic conditions (1 M NaCl) to dehydrate the cells, as shown by density gradient centrifugation. Flow cytometry for biomass estimation is easy to perform, sensitive and offers more comprehensive information than optical density measurements. In addition, periodic flow cytometry measurements can be used to calibrate OD750 measurements for both convenience and accuracy. This approach is particularly useful for small samples and where cellular characteristics, especially cell size, are expected to vary during growth. PMID

  19. Flow cytometry pulse width data enables rapid and sensitive estimation of biomass dry weight in the microalgae Chlamydomonas reinhardtii and Chlorella vulgaris.

    Directory of Open Access Journals (Sweden)

    Maurizio Chioccioli

    Full Text Available Dry weight biomass is an important parameter in algaculture. Direct measurement requires weighing milligram quantities of dried biomass, which is problematic for small volume systems containing few cells, such as laboratory studies and high throughput assays in microwell plates. In these cases indirect methods must be used, inducing measurement artefacts which vary in severity with the cell type and conditions employed. Here, we utilise flow cytometry pulse width data for the estimation of cell density and biomass, using Chlorella vulgaris and Chlamydomonas reinhardtii as model algae and compare it to optical density methods. Measurement of cell concentration by flow cytometry was shown to be more sensitive than optical density at 750 nm (OD750 for monitoring culture growth. However, neither cell concentration nor optical density correlates well to biomass when growth conditions vary. Compared to the growth of C. vulgaris in TAP (tris-acetate-phosphate medium, cells grown in TAP + glucose displayed a slowed cell division rate and a 2-fold increased dry biomass accumulation compared to growth without glucose. This was accompanied by increased cellular volume. Laser scattering characteristics during flow cytometry were used to estimate cell diameters and it was shown that an empirical but nonlinear relationship could be shown between flow cytometric pulse width and dry weight biomass per cell. This relationship could be linearised by the use of hypertonic conditions (1 M NaCl to dehydrate the cells, as shown by density gradient centrifugation. Flow cytometry for biomass estimation is easy to perform, sensitive and offers more comprehensive information than optical density measurements. In addition, periodic flow cytometry measurements can be used to calibrate OD750 measurements for both convenience and accuracy. This approach is particularly useful for small samples and where cellular characteristics, especially cell size, are expected to vary

  20. Estimation of suspended sediment concentration from Acoustic Doppler Current Profiler (ADCP) instrument: A case study of Lembeh Strait, North Sulawesi

    Science.gov (United States)

    Dwinovantyo, Angga; Manik, Henry M.; Prartono, Tri; Susilohadi; Ilahude, Delyuzar

    2017-01-01

    Measurement of suspended sediment concentration (SSC) is one of the parameters needed to determine the characteristics of sediment transport. However, the measurement of SSC nowadays still uses conventional technique and it has limitations; especially in temporal resolution. With advanced technology, the measurement can use hydroacoustic technology such as Acoustic Doppler Current Profiler (ADCP). ADCP measures the intensity of backscatter as echo intensity unit from sediment particles. The frequency of ADCP used in this study was 400 kHz. The samples were measured and collected from Lembeh Strait, North Sulawesi. The highest concentration of suspended sediment was 98.89 mg L-1 and the lowest was 45.20 mg L-1. Time series data showed the tidal condition affected the SSC. From the research, we also made correction from sound signal losses effect such as spherical spreading and sound absorption to get more accurate results by eliminating these parameters in echo intensity data. Simple linear regression analysis at echo intensity measured from ADCP to direct measurement of SSC was performed to obtain the estimation of the SSC. The comparison result of estimation of SSC from ADCP measurements and SSC from laboratory analyses was insignificantly different based on t-test statistical analysis with 95% confidence interval percentage.

  1. Sensitivity of Landsat 8 Surface Temperature Estimates to Atmospheric Profile Data: A Study Using MODTRAN in Dryland Irrigated Systems

    KAUST Repository

    Rosas, Jorge

    2017-09-26

    The land surface temperature (LST) represents a critical element in efforts to characterize global surface energy and water fluxes, as well as being an essential climate variable in its own right. Current satellite platforms provide a range of spatial and temporal resolution radiance data from which LST can be determined. One of the most complete records of data comes via the Landsat series of satellites, which provide a continuous sequence that extends back to 1982. However, for much of this time, Landsat thermal data were provided through a single broadband thermal channel, making surface temperature retrieval challenging. To fully exploit the valuable time-series of thermal information that is available from these satellites requires efforts to better describe and understand the accuracy of temperature retrievals. Here, we contribute to these efforts by examining the impact of atmospheric correction on the estimation of LST, using atmospheric profiles derived from a range of in-situ, reanalysis, and satellite data. Radiance data from the thermal infrared (TIR) sensor onboard Landsat 8 was converted to LST by using the MODTRAN version 5.2 radiative transfer model, allowing the production of an LST time series based upon 28 Landsat overpasses. LST retrievals were then evaluated against in-situ thermal measurements collected over an arid zone farmland comprising both bare soil and vegetated surface types. Atmospheric profiles derived from AIRS, MOD07, ECMWF, NCEP, and balloon-based radiosonde data were used to drive the MODTRAN simulations. In addition to examining the direct impact of using various profile data on LST retrievals, randomly distributed errors were introduced into a range of forcing variables to better understand retrieval uncertainty. Results indicated differences in LST of up to 1 K for perturbations in emissivity and profile measurements, with the analysis also highlighting the challenges in modeling aerosol optical depth (AOD) over arid lands and

  2. Estimating glomerular filtration rate (GFR) in children. The average between a cystatin C- and a creatinine-based equation improves estimation of GFR in both children and adults and enables diagnosing Shrunken Pore Syndrome.

    Science.gov (United States)

    Leion, Felicia; Hegbrant, Josefine; den Bakker, Emil; Jonsson, Magnus; Abrahamson, Magnus; Nyman, Ulf; Björk, Jonas; Lindström, Veronica; Larsson, Anders; Bökenkamp, Arend; Grubb, Anders

    2017-09-01

    Estimating glomerular filtration rate (GFR) in adults by using the average of values obtained by a cystatin C- (eGFRcystatin C) and a creatinine-based (eGFRcreatinine) equation shows at least the same diagnostic performance as GFR estimates obtained by equations using only one of these analytes or by complex equations using both analytes. Comparison of eGFRcystatin C and eGFRcreatinine plays a pivotal role in the diagnosis of Shrunken Pore Syndrome, where low eGFRcystatin C compared to eGFRcreatinine has been associated with higher mortality in adults. The present study was undertaken to elucidate if this concept can also be applied in children. Using iohexol and inulin clearance as gold standard in 702 children, we studied the diagnostic performance of 10 creatinine-based, 5 cystatin C-based and 3 combined cystatin C-creatinine eGFR equations and compared them to the result of the average of 9 pairs of a eGFRcystatin C and a eGFRcreatinine estimate. While creatinine-based GFR estimations are unsuitable in children unless calibrated in a pediatric or mixed pediatric-adult population, cystatin C-based estimations in general performed well in children. The average of a suitable creatinine-based and a cystatin C-based equation generally displayed a better diagnostic performance than estimates obtained by equations using only one of these analytes or by complex equations using both analytes. Comparing eGFRcystatin and eGFRcreatinine may help identify pediatric patients with Shrunken Pore Syndrome.

  3. Mathematical Modeling of Avidity Distribution and Estimating General Binding Properties of Transcription Factors from Genome-Wide Binding Profiles.

    Science.gov (United States)

    Kuznetsov, Vladimir A

    2017-01-01

    The shape of the experimental frequency distributions (EFD) of diverse molecular interaction events quantifying genome-wide binding is often skewed to the rare but abundant quantities. Such distributions are systematically deviated from standard power-law functions proposed by scale-free network models suggesting that more explanatory and predictive probabilistic model(s) are needed. Identification of the mechanism-based data-driven statistical distributions that provide an estimation and prediction of binding properties of transcription factors from genome-wide binding profiles is the goal of this analytical survey. Here, we review and develop an analytical framework for modeling, analysis, and prediction of transcription factor (TF) DNA binding properties detected at the genome scale. We introduce a mixture probabilistic model of binding avidity function that includes nonspecific and specific binding events. A method for decomposition of specific and nonspecific TF-DNA binding events is proposed. We show that the Kolmogorov-Waring (KW) probability function (PF), modeling the steady state TF binding-dissociation stochastic process, fits well with the EFD for diverse TF-DNA binding datasets. Furthermore, this distribution predicts total number of TF-DNA binding sites (BSs), estimating specificity and sensitivity as well as other basic statistical features of DNA-TF binding when the experimental datasets are noise-rich and essentially incomplete. The KW distribution fits equally well to TF-DNA binding activity for different TFs including ERE, CREB, STAT1, Nanog, and Oct4. Our analysis reveals that the KW distribution and its generalized form provides the family of power-law-like distributions given in terms of hypergeometric series functions, including standard and generalized Pareto and Waring distributions, providing flexible and common skewed forms of the transcription factor binding site (TFBS) avidity distribution function. We suggest that the skewed binding

  4. Self-consistent and robust estimation of the MHD equilibrium suitable for control oriented models of the q-profile evolution

    Science.gov (United States)

    Garcia-Martinez, P.; Montes, P.; Schuster, E.

    2017-10-01

    The feasibility of controlling the q-profile using closed-loop controllers designed from first-principles-driven control-oriented models has been demonstrated in tokamaks like DIII-D. These control-oriented models typically use the magnetic diffusion equation for the poloidal magnetic flux profile evolution, combined with simplified models for other plasma quantities such as the electron density, the electron temperature, and the noninductive current-drives. The magnetic diffusion equation is expressed in flux coordinates thus requiring several geometric profiles that depend on the underlying MHD equilibrium of the plasma. In this work, a self-consistent method to improve the estimation of the MHD equilibrium and the required geometric profiles is proposed. The method combines a two-dimensional linear model, that takes into account the geometry of the flux surfaces, with a one-dimensional non-linear model that incorporates the evolution of the magnetic profiles resulting in a robust and fast strategy for MHD equilibrium estimation. Supported by the US DOE under DE-SC0010537, DE-SC0010661, and the Fulbright-CONICET scholar program.

  5. External validation of a forest inventory and analysis volume equation and comparisons with estimates from multiple stem-profile models

    Science.gov (United States)

    Christopher M. Oswalt; Adam M. Saunders

    2009-01-01

    Sound estimation procedures are desideratum for generating credible population estimates to evaluate the status and trends in resource conditions. As such, volume estimation is an integral component of the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) program's reporting. In effect, reliable volume estimation procedures are...

  6. Influence of difference in cross-sectional dose profile in a CTDI phantom on X-ray CT dose estimation: a Monte Carlo study.

    Science.gov (United States)

    Haba, Tomonobu; Koyama, Shuji; Ida, Yoshihiro

    2014-01-01

    The longitudinal dose profile in a computed tomography dose index (CTDI) phantom had been studied by many researchers. The cross-sectional dose profile in the CTDI phantom, however, has not been studied. It is also important to understand the cross-sectional dose profile in the CTDI phantom for dose estimation in X-ray CT. In this study, the cross-sectional dose profile in the CTDI phantom was calculated by use of a Monte Carlo (MC) simulation method. A helical or a 320-detector-row cone-beam X-ray CT scanner was simulated. The cross-sectional dose profile in the CTDI phantom from surface to surface through the center point was calculated by MC simulation. The shape of the calculation region was a cylinder of 1-mm-diameter. The length of the cylinder was 23, 100, or 300 mm to represent various CT ionization chamber lengths. Detailed analyses of the energy depositions demonstrated that the cross-sectional dose profile was different in measurement methods and phantom sizes. In this study, we also focused on the validation of the weighting factor used in weighted CTDI (CTDI w ). As it stands now, the weighting factor used in CTDI w is (1/3, 2/3) for the (central, peripheral) axes. Our results showed that an equal weighting factor, which is (1/2, 1/2) for the (central, peripheral) axes, is more suitable to estimate the average cross-sectional dose when X-ray CT dose estimation is performed.

  7. Estimation of the p-wave velocity profile of elastic real data based on surface wave inversion

    NARCIS (Netherlands)

    Ponomarenko, A.V.; Kashtan, B.M.; Troyan, V.N.; Mulder, W.A.

    2013-01-01

    Recently, we proposed an analytical approach to invert for a smoothly varying near-surface P-wave velocity profile that has a squared slowness linearly decreasing with depth. The exact solution for such a velocity profile in the acoustic approximation can be expressed in terms of Airy functions and

  8. Estimated daily flavonoid and stilbene intake from fruits, vegetables, and nuts and associations with lipid profiles in Chinese adults.

    Science.gov (United States)

    Li, Guilan; Zhu, Yanna; Zhang, Yuan; Lang, Jing; Chen, Yuming; Ling, Wenhua

    2013-06-01

    The scientific evidence for the association of daily flavonoid and stilbene intakes with cardiovascular risk factors in Chinese adults has not been reported previously. The aim of the study was to assess daily flavonoid and stilbene intakes and evaluate these compounds' association with cardiovascular risk factors such as serum lipids and carotid intima-media thickness in Chinese adults. A total of 1,393 subjects participated in this cross-sectional study from July 2008 to January 2010 in China. Dietary flavonoid and stilbene intakes as well as overall dietary intakes from foods and beverages were assessed with a quantitative food frequency questionnaire. Anthropometric measurements and cardiovascular risk factors including serum lipids, uric acid, and carotid intima-media thickness were examined. The relationship between flavonoids and stilbene intakes and these cardiovascular risk factors was examined using either partial correlation coefficients or analysis of covariance. The richest sources of flavonoids and stilbenes were the fruit group including apple, plum, pear, and peach, followed by the vegetable group containing lotus root and taro. The daily intake of total flavonoids, anthocyanidins, flavonols, flavones, isoflavones, and stilbene were 165.6 mg/day, 27.6 mg/day, 123.7 mg/day, 10.7 mg/day, 3.7 mg/day, and 0.3 mg/day, respectively. Higher daily consumption of anthocyanidins was associated with elevated serum high-density lipoprotein cholesterol (HDL-C) concentrations (P trend=0.001), and higher total flavonoid and flavonol intakes were associated with lower serum triglycerides (TG) concentrations (P trend=0.020 and P trend=0.035, respectively) and TG/HDL-C ratios (P trend=0.040 and P trend=0.045, respectively) in female subjects. These significant relationships were not found in male subjects. The daily intakes of flavonoid and stilbene were estimated in the present study, and higher dietary flavonoid intake was associated with improving lipid profile in

  9. Linking evaporative fluxes from bare soils across surface viscous sublayer with the Monin-Obukhov atmospheric flux-profile estimates

    OpenAIRE

    Haghighi Erfan; Or Dani

    2015-01-01

    The Monin–Obukhov similarity theory (MOST) provides the theoretical basis for many “atmospheric based” methods (such as eddy covariance and flux profile methods) that are widely used for quantifying surface–atmosphere exchange processes. The turbulence driven and highly nonlinear profiles of momentum air temperature and vapor densities require complex resistance expressions applied to simple gradients deduced from a single or few height measurements. Notwithstanding the success of these atmos...

  10. Estimation of the dietary nutrient profile of free-roaming feral cats: possible implications for nutrition of domestic cats

    NARCIS (Netherlands)

    Plantinga, E.A.; Bosch, G.; Hendriks, W.H.

    2011-01-01

    Cats are strict carnivores and in the wild rely on a diet solely based on animal tissues to meet their specific and unique nutritional requirements. Although the feeding ecology of cats in the wild has been well documented in the literature, there is no information on the precise nutrient profile to

  11. Estimating a continuous p-wave velocity profile with constant squared-slowness gradient models from seismic field data

    NARCIS (Netherlands)

    Ponomarenko, A.V.; Kashtan, B.M.; Troyan, V.N.; Mulder, W.A.

    2015-01-01

    We inverted seismic field data for a continuous, laterally invariant P-wave velocity profile. Instead of the usual approach that involves horizontal layers with piecewise constant densities and velocities, we consider models of one or two layers with a constant gradient of the squared slowness above

  12. Efficacy of flagellin gene typing for epidemiological studies of Campylobacter jejuni in poultry estimated by comparison with macrorestriction profiling

    DEFF Research Database (Denmark)

    Petersen, L.; On, S.L.W.

    2000-01-01

    of their macrorestriction profiles using the restriction endonucleases SmaI and KpnI. PCR-Fla typing of the 30 isolates yielded 16 distinct genotypes, whereas one isolate was untypeable by this method. The dominant PCR-Fla type (1/1) was shared by eight isolates, and five additional Fla groups containing two or three...

  13. The impact of in-canopy wind profile formulations on heat flux estimation in an open orchard using the remote sensing-based two-source model

    Science.gov (United States)

    Cammalleri, C.; Anderson, M. C.; Ciraolo, G.; Durso, G.; Kustas, W. P.; La Loggia, G.; Minacapilli, M.

    2010-12-01

    For open orchard and vineyard canopies containing significant fractions of exposed soil (>50%), typical of Mediterranean agricultural regions, the energy balance of the vegetation elements is strongly influenced by heat exchange with the bare soil/substrate. For these agricultural systems a "two-source" approach, where radiation and turbulent exchange between the soil and canopy elements are explicitly modelled, appears to be the only suitable methodology for reliably assessing energy fluxes. In strongly clumped canopies, the effective wind speed profile inside and below the canopy layer can strongly influence the partitioning of energy fluxes between the soil and vegetation components. To assess the impact of in-canopy wind profile on model flux estimates, an analysis of three different formulations is presented, including algorithms from Goudriaan (1977), Massman (1987) and Lalic et al. (2003). The in-canopy wind profile formulations are applied to the thermal-based two-source energy balance (TSEB) model developed by Norman et al. (1995) and modified by Kustas and Norman (1999). High resolution airborne remote sensing images, collected over an agricultural area located in the western part of Sicily (Italy) comprised primarily of vineyards, olive and citrus orchards, are used to derive all the input parameters needed to apply the TSEB. The images were acquired from June to October 2008 and include a relatively wide range of meteorological and soil moisture conditions. A preliminary sensitivity analysis of the three wind profile algorithms highlights the dependence of wind speed just above the soil/substrate to leaf area index and canopy height over the typical range of canopy properties encountered in these agricultural areas. It is found that differences among the models in wind just above the soil surface are most significant under sparse and medium fractional cover conditions (15-50%). The TSEB model heat flux estimates are compared with micro

  14. The impact of in-canopy wind profile formulations on heat flux estimation in an open orchard using the remote sensing-based two-source model

    Directory of Open Access Journals (Sweden)

    C. Cammalleri

    2010-12-01

    Full Text Available For open orchard and vineyard canopies containing significant fractions of exposed soil (>50%, typical of Mediterranean agricultural regions, the energy balance of the vegetation elements is strongly influenced by heat exchange with the bare soil/substrate. For these agricultural systems a "two-source" approach, where radiation and turbulent exchange between the soil and canopy elements are explicitly modelled, appears to be the only suitable methodology for reliably assessing energy fluxes. In strongly clumped canopies, the effective wind speed profile inside and below the canopy layer can strongly influence the partitioning of energy fluxes between the soil and vegetation components. To assess the impact of in-canopy wind profile on model flux estimates, an analysis of three different formulations is presented, including algorithms from Goudriaan (1977, Massman (1987 and Lalic et al. (2003. The in-canopy wind profile formulations are applied to the thermal-based two-source energy balance (TSEB model developed by Norman et al. (1995 and modified by Kustas and Norman (1999. High resolution airborne remote sensing images, collected over an agricultural area located in the western part of Sicily (Italy comprised primarily of vineyards, olive and citrus orchards, are used to derive all the input parameters needed to apply the TSEB. The images were acquired from June to October 2008 and include a relatively wide range of meteorological and soil moisture conditions. A preliminary sensitivity analysis of the three wind profile algorithms highlights the dependence of wind speed just above the soil/substrate to leaf area index and canopy height over the typical range of canopy properties encountered in these agricultural areas. It is found that differences among the models in wind just above the soil surface are most significant under sparse and medium fractional cover conditions (15–50%. The TSEB model heat flux estimates are compared with micro

  15. Analytical Void Fraction Profile Near the Walls in Low Reynolds Number Bubbly Flows in Pipes: Experimental Comparison and Estimate of the Dispersion Coefficient

    Directory of Open Access Journals (Sweden)

    Marfaing Olivier

    2017-01-01

    Full Text Available In a recent paper, we derived an analytical expression for the void fraction profile in low Reynolds number bubbly pipe flows, based on a balance of hydrodynamic forces on bubbles. The objective of the present work is to perform a comparison of this analytical Bubble Force Balance Formula (BFBF with an experiment from the literature. We begin by simulating this experiment with the NEPTUNE_CFD code. In particular we show that using an Rij-ε model to account for the liquid velocity fluctuations yields reasonable results. In order to compare our analytical profile with experimental measurements, we restrict ourselves to the near-wall region. In this region, the void fraction profile results from a balance between dispersion and wall forces, and the dispersion coefficient can be considered as uniform. The analytical BFBF profile is seen to be in good agreement with the measurements. We are also capable to estimate the dispersion coefficient in this near-wall region.

  16. PROFIL GELATINISASI BEBERAPA FORMULASI TEPUNG-TEPUNGAN UNTUK PENDUGAAN SIFAT PEMASAKAN (GELATINISATION PROFILE OF SEVERAL FLOUR FORMULATIONS FOR ESTIMATING COOKING BEHAVIOUR

    Directory of Open Access Journals (Sweden)

    Nelis Imanningsih

    2012-06-01

    Full Text Available ABSTRACT The combination of starch from various sources, salt and protein, are the basic formulation often found in the Indonesian traditional food. The different composition of amylopectine-amylose and the interactions among the ingredients in the formulation, determines pasting properties in order gain a suitable texture characteristics. The aim of the research is to study the interactions of severals kinds of flours with water, white egg protein, and salt and its influences to the cooking behaviour of semi-solid food. There are four formulations for each kind of flour (rice, glutenniuos rice, wheat and cassava that are: (1 water: flour = 25 : 3 g; (2 water :  flour : salt  =  25 : 3 : 0.28 g; (3 water : flour : albumen = 25 : 3 : 0.3 g; and (4 water : flour : salt : albumen = 25 : 3 : 0.28 : 0.3 g. The flours are analysed for proximate, particle size distribution and amylose-amylopectine composition. Pasting behaviour is measured using Rapid Visco Analizer (RVA to determine peak viscosity, peak temperature, and peak time gelatinisation. Rice, glutinous rice, wheat and cassava flours have different gelatinization profiles that depend on starches structural origin and amylose and amylopectin composition. Wheat flour has the lowest peak viscosity among four type of flour examined, whether cassava flour has the highest. Salt in starch-water system delays peak time. Egg white protein raises peak viscosity of starches, the addition of salt and egg white protein simultaneously into the system increases peak viscosity and causes the peak occurs earlier. In food processing, tapioca flour can be used to give viscosity at short time cooking but it could not give a sufficient viscosity to the cold products. Rice flour needs a long time cooking to give a suitable viscosity to the products, however this viscosity can hold well in cold temperature. Keywords: flour, salt, protein, gelatinisation, viscosity   ABSTRAK Kombinasi berbagai macam tepung dengan

  17. Identification of sources and estimation of emission profiles from highly time-resolved pollutant measurements in Tampa, FL

    Science.gov (United States)

    Pancras, Joseph Patrick; Ondov, John M.; Poor, Noreen; Landis, Matthew S.; Stevens, Robert K.

    Aerosol slurry samples were collected at 30-min intervals for sequential 1-month periods at each of two sites (Sydney and "Dairy") in the Tampa Bay area during the 2002 Bay Regional Atmospheric Chemistry Experiment using the University of Maryland Semicontinuous Elements in Aerosol Sampler-II (SEAS-II). More than 500 samples, believed to be affected by plumes from local utility and industrial sources, were selected for electrothermal atomic absorption spectrophotometric analyses for elemental markers (Al, Fe, Cr, Cu, Mn, Pb, Se, As, Ni, Zn and Cd) based on excursions in SO 2 and NO x measurements. Correlation of short-term excursions in metals and SO 2, and surface wind directions observed between May 23 and 26th, 2002, revealed the influence of an animal feed supplements production facility (AFS), 17 km upwind at a station angle of 81°, for which emissions had not previously been detected by standard monitoring methods. Emission "profiles" for this source were developed, separately, from the time series data and by using principle components analysis (PCA) and positive matrix factorization (PMF). In addition, a local dust component was evident in Al and Fe concentration profiles during periods of elevated wind speeds and was resolved by PCA/PMF. Similarly, large but brief 1.5-h excursions in Zn (maximum, 403 ng m -3), Cd, and Pb on May 17th were correlated with winds from the direction of an incinerator (station angle, 250°) 17 km from Sydney. Lastly, large excursions in As concentrations (maximum, 86 ng m -3) observed (May 4th and 5th at Sydney and November 2nd and 3rd at the Dairy) were used to locate previously unrecognized sources, tentatively associated with combustion/production of pressure-treated lumber. Profiles developed directly from the time series data were in the range of those derived from PCA-PMF (AFS); and those for the incinerator, with previously published values.

  18. Novel approach for quantitatively estimating element retention and material balances in soil profiles of recharge basins used for wastewater reclamation.

    Science.gov (United States)

    Eshel, Gil; Lin, Chunye; Banin, Amos

    2015-01-01

    We investigated changes in element content and distribution in soil profiles in a study designed to monitor the geochemical changes accruing in soil due to long-term secondary effluent recharge, and its impact on the sustainability of the Soil Aquifer Treatment (SAT) system. Since the initial elemental contents of the soils at the studied site were not available, we reconstructed them using scandium (Sc) as a conservative tracer. By using this approach, we were able to produce a mass-balance for 18 elements and evaluate the geochemical changes resulting from 19 years of effluent recharge. This approach also provides a better understanding of the role of soils as an adsorption filter for the heavy metals contained in the effluent. The soil mass balance suggests 19 years of effluent recharge cause for a significant enrichment in Cu, Cr, Ni, Zn, Mg, K, Na, S and P contents in the upper 4m of the soil profile. Combining the elements lode record during the 19 years suggest that Cr, Ni, and P inputs may not reach the groundwater (20 m deep), whereas the other elements may. Conversely, we found that 58, 60, and 30% of the initial content of Mn, Ca and Co respectively leached from the upper 2-m of the soil profile. These high percentages of Mn and Ca depletion from the basin soils may reduce the soil's ability to buffer decreases in redox potential pe and pH, respectively, which could initiate a reduction in the soil's holding capacity for heavy metals. Copyright © 2014 Elsevier B.V. All rights reserved.

  19. A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer.

    Science.gov (United States)

    Hastie, David I; Liverani, Silvia; Azizi, Lamiae; Richardson, Sylvia; Stücker, Isabelle

    2013-10-23

    A common characteristic of environmental epidemiology is the multi-dimensional aspect of exposure patterns, frequently reduced to a cumulative exposure for simplicity of analysis. By adopting a flexible Bayesian clustering approach, we explore the risk function linking exposure history to disease. This approach is applied here to study the relationship between different smoking characteristics and lung cancer in the framework of a population based case control study. Our study includes 4658 males (1995 cases, 2663 controls) with full smoking history (intensity, duration, time since cessation, pack-years) from the ICARE multi-centre study conducted from 2001-2007. We extend Bayesian clustering techniques to explore predictive risk surfaces for covariate profiles of interest. We were able to partition the population into 12 clusters with different smoking profiles and lung cancer risk. Our results confirm that when compared to intensity, duration is the predominant driver of risk. On the other hand, using pack-years of cigarette smoking as a single summary leads to a considerable loss of information. Our method estimates a disease risk associated to a specific exposure profile by robustly accounting for the different dimensions of exposure and will be helpful in general to give further insight into the effect of exposures that are accumulated through different time patterns.

  20. Organising to Enable Innovation

    DEFF Research Database (Denmark)

    Brink, Tove

    2016-01-01

    The purpose of this conceptual paper is to reveal how organising can enable innovation across organisational layers and organisational units. This approach calls for a cross-disciplinary literature review. The aim is to provide an integrated understanding of innovation in an organisational approach....... The findings reveal a continous organising process between individual/ team creativity and organisational structures/control to enable innovation at firm level. Organising provides a dynamic approach and contains the integrated reconstruction of creativity, structures and boundaries for enhanced balance...... of explorative and exploitative learning in uncertain environments. Shedding light on the cross-disciplinary theories to organise innovation provides a contribution at the firm level to enable innovation....

  1. A Cross-Sectional Survey to Estimate the Cat Population and Ownership Profiles in a Semirural Area of Central Italy.

    Science.gov (United States)

    Carvelli, Andrea; Iacoponi, Francesca; Scaramozzino, Paola

    2016-01-01

    Understanding animal population size and its demographic features is essential to address Public Health policies as well as to provide valuable information to pet industries and veterinary practitioners. Nevertheless, official data on feline population are not available worldwide. In the present study, the owned cat population size, its demographic attributes, and the ownership profiles have been investigated through a face-to-face questionnaire in a semirural area of Central Italy. The human : cat ratio was equal to 6.8 (95% CI: 5.7-7.5); 29.3% of households own at least one cat. The majority of cats were living in a rural area (67.8%) and outdoors, were neutered (70.5%), and were fed with commercial food (54.8%) and they visited a veterinarian 1-2 times a year (43.3%). The cat ownership was strongly associated with people living in a rural area and owning another pet. As the cat owned population was mainly kept outdoors in rural areas, the possible relation between the owned and the stray animals is worthy to be monitored in future researches. Our study revealed that the feline owned population was larger than expected and that social and economic human factors do not influence the cat ownership. Health Authorities and veterinary practitioners should promote responsible ownership to increase the veterinary care, to intensify the official identification, and to properly manage the outdoor lifestyle.

  2. A Cross-Sectional Survey to Estimate the Cat Population and Ownership Profiles in a Semirural Area of Central Italy

    Directory of Open Access Journals (Sweden)

    Andrea Carvelli

    2016-01-01

    Full Text Available Understanding animal population size and its demographic features is essential to address Public Health policies as well as to provide valuable information to pet industries and veterinary practitioners. Nevertheless, official data on feline population are not available worldwide. In the present study, the owned cat population size, its demographic attributes, and the ownership profiles have been investigated through a face-to-face questionnaire in a semirural area of Central Italy. The human : cat ratio was equal to 6.8 (95% CI: 5.7–7.5; 29.3% of households own at least one cat. The majority of cats were living in a rural area (67.8% and outdoors, were neutered (70.5%, and were fed with commercial food (54.8% and they visited a veterinarian 1-2 times a year (43.3%. The cat ownership was strongly associated with people living in a rural area and owning another pet. As the cat owned population was mainly kept outdoors in rural areas, the possible relation between the owned and the stray animals is worthy to be monitored in future researches. Our study revealed that the feline owned population was larger than expected and that social and economic human factors do not influence the cat ownership. Health Authorities and veterinary practitioners should promote responsible ownership to increase the veterinary care, to intensify the official identification, and to properly manage the outdoor lifestyle.

  3. Applying indoor and outdoor modeling techniques to estimate individual exposure to PM2.5 from personal GPS profiles and diaries: a pilot study.

    Science.gov (United States)

    Gerharz, Lydia E; Krüger, Antonio; Klemm, Otto

    2009-09-01

    Impacts of individual behavior on personal exposure to particulate matter (PM) and the associated individual health effects are still not well understood. As outdoor PM concentrations exhibit highly temporal and spatial variations, personal PM exposure depends strongly on individual trajectories and activities. Furthermore, indoor environments deserve special attention due to the large fraction of the day people spend indoors. The indoor PM concentration in turn depends on infiltrated outdoor PM and indoor particle sources, partially caused by the activities of people indoor. We present an approach to estimate PM2.5 exposure levels for individuals based upon existing data sources and models. For this pilot study, six persons kept 24-hour diaries and GPS tracks for at least one working day and one weekend day, providing their daily activity profiles and the associated geographical locations. The survey took place in the city of Münster, Germany in the winter period between October 2006 and January 2007. Environmental PM2.5 exposure was estimated by using two different models for outdoor and indoor concentrations, respectively. For the outdoor distribution, a dispersion model was used and extended by actual ambient fixed site measurements. Indoor concentrations were modeled using a simple mass balance model with the estimated outdoor concentration fraction infiltrated and indoor activities estimated from the diaries. A limited number of three 24-hour indoor measurements series for PM were performed to test the model performance. The resulting average daily exposure of the 14 collected profiles ranged from 21 to 198 microg m(-3) and showed a high variability over the day as affected by personal behavior. Due to the large contribution of indoor particle sources, the mean 24-hour exposure was in most cases higher than the daily means of the respective outdoor fixed site monitors. This feasibility study is a first step towards a more comprehensive modeling approach for

  4. Development of a Multivariate Predictive Model to Estimate Ionized Calcium Concentration from Serum Biochemical Profile Results in Dogs.

    Science.gov (United States)

    Danner, J; Ridgway, M D; Rubin, S I; Le Boedec, K

    2017-09-01

    Ionized calcium concentration is the gold standard to assess calcium status in dogs, but measurement is not always available. (1) To predict ionized calcium concentration from biochemical results and compare the diagnostic performance of predicted ionized calcium concentration (piCa) to those of total calcium concentration (tCa) and 2 corrected tCa formulas; and (2) to study the relationship between biochemical results and variation of measured ionized calcium concentration (miCa). A total of 1,719 dogs with both miCa and biochemical profile results available. Cross-sectional study. Using 1,200 dogs, piCa was determined using a multivariate adaptive regression splines model. Its accuracy and performance were tested on the remaining 519 dogs. The final model included creatinine, albumin, tCa, phosphorus, sodium, potassium, chloride, alkaline phosphatase, triglycerides, and age, with tCa, albumin, and chloride having the highest impact on miCa variation. Measured ionized calcium concentration was better correlated with piCa than with tCa and corrected tCa and had higher overall diagnostic accuracy to diagnose hypocalcemia and hypercalcemia, but not significantly for hypercalcemia. For hypercalcemia, piCa was as sensitive (64%) but more specific (99.6%) than tCa and corrected tCa. For hypocalcemia, piCa was more sensitive (21.8%) and as specific (98.4%) as tCa. Positive and negative predictive values of piCa were high for both hypercalcemia (90% and 98%, respectively) and hypocalcemia (70.8% and 87.7%, respectively). Predicted ionized calcium concentration can be obtained from readily available biochemical and patient results and seems more useful than tCa and corrected tCa to assess calcium disorders in dogs when miCa is unavailable. Validation on external data, however, is warranted. Copyright © 2017 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine.

  5. Multiple linear regression based congener profile correlation to estimate the toxicity (TEQ) and dioxin concentration in atmospheric emissions.

    Science.gov (United States)

    Palmer, D; Pou, J O; Gonzalez-Sabaté, L; Díaz-Ferrero, J

    2018-05-01

    The formation of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/F) is governed by complex chemical reactions with complex kinetic models. The simulation of Municipal Solid Waste incinerators, or other industrial thermal processes, is a powerful tool that can be used to optimize and control them, and reducing the number of components to simulate is mandatory for a proper use. In this study it has been determined that only the formation of 3 of the 17 main PCDD/F congeners can be considered as linearly independent. This fact has been used to establish linear regression models that are able to estimate properly the total amount and toxicity of a sample considering only the amount of 1,2,3,6,7,8-HxCDD, OCDF and 2,3,7,8-TCDF. All models have been validated using new samples performing a close approach to the real values provided by complete analytical studies. The average relative error is 3.5% and the maximum relative error is below 9% for these new testing samples. The main goal of our investigation is to build a dynamic simulation process of a MSW facility and include the dioxins formation on it using these models. Copyright © 2017 Elsevier B.V. All rights reserved.

  6. An approximate estimation of velocity profiles and turbulence factor models for air-flows along the exterior of TEFC induction motors

    Directory of Open Access Journals (Sweden)

    Klimenta Dardan O.

    2017-01-01

    Full Text Available Compared to a number of other existing correlations for heat transfer, the empirical correlations for forced convection from a short horizontal cylinder in axial air-flows usually do not involve the effects of changes in air-flow velocity and/or air-flow turbulence. Therefore, a common analysis of the heat transfer by using only one energy balance equation for entire outer surface of a solid is considered insufficient for induction motor applications because it fails to include aforementioned effects. This paper presents a novel, empirically-based methodology to estimate approximately the values of air-flow velocities and turbulence factors, that is, velocity profiles and turbulence factor models for stationary horizontal cylinders with and without fins (frame and two end-shields in axial air-flows. These velocity profiles and turbulence factor models can then be used in analytical modelling of steady-state heat transfer from the exterior of totally enclosed fan-cooled induction motors.

  7. The Nordic Housing Enabler

    DEFF Research Database (Denmark)

    Helle, T.; Nygren, C.; Slaug, B.

    2014-01-01

    This study addresses development of a content-valid cross-Nordic version of the Housing Enabler and investigation of its inter-rater reliability when used in occupational therapy rating situations, involving occupational therapists, clients, and their home environments. The instrument...... was translated from the original Swedish version of the Housing Enabler, and adapted according to accessibility norms and guidelines for housing design in Sweden, Denmark, Finland, and Iceland. This iterative process involved occupational therapists, architects, building engineers, and professional translators...... Enabler. Inter-rater reliability was calculated by means of percentage agreement and kappa statistics. Overall good percentage agreement for the personal and environmental components of the instrument was shown, indicating that the instrument was sufficiently reliable for application in practice...

  8. The Nordic Housing Enabler

    DEFF Research Database (Denmark)

    Helle, Tina; Slaug, Bjørn; Brandt, Åse

    2010-01-01

    This study addresses development of a content valid cross-Nordic version of the Housing Enabler and investigation of its inter-rater reliability when used in occupational therapy rating situations, involving occupational therapists, clients and their home environments. The instrument was translated...... from the original Swedish version of the Housing Enabler, and adapted according to accessibility norms and guidelines for housing design in Sweden, Denmark, Finland and Iceland. This iterative process involved occupational therapists, architects, building engineers and professional translators...... Enabler. Inter-rater reliability was calculated by means of percentage agreement and kappa statistics. Overall good percentage agreement for the personal and environmental components of the instrument was shown, indicating that the instrument was sufficiently reliable for application in practice...

  9. Nordic Housing Enabler

    DEFF Research Database (Denmark)

    Helle, Tina; Brandt, Åse

    2009-01-01

    , however, the built environment shows serious deficits when it comes to accessibility. This study addresses development of a content valid cross-Nordic version of the Housing Enabler and investigation of inter-rater reliability, when used in occupational therapy practice. The instrument was translated from...... statistics. Overall good percentage agreement for all parts of the instrument was shown, indicating that the Nordic Housing Enabler is sufficiently reliable for application in practice and research in the Nordic context. The kappa results varied and possible explanations are discussed, which should be kept......Development and reliability testing of the Nordic Housing Enabler – an instrument for accessibility assessment of the physical housing. Tina Helle & Åse Brandt University of Lund, Health Sciences, Faculty of Medicine (SE) and University College Northern Jutland, Occupational Therapy department (DK...

  10. Pilot project as enabler?

    DEFF Research Database (Denmark)

    Neisig, Margit; Glimø, Helle; Holm, Catrine Granzow

    This article deals with a systemic perspective on transition. The field of study addressed is a pilot project as enabler of transition in a highly complex polycentric context. From a Luhmannian systemic approach, a framework is created to understand and address barriers of change occurred using...

  11. BPR - Enabled Systems Engineering

    OpenAIRE

    Johnson, Leslie; Stergiou, Maria

    1999-01-01

    As traditional management techniques were no longer appropriate in the changing business environment, companies employed Business Process Reengineering (BPR) to achieve elevated business performance. Similarly, as traditional systems development approaches delivered disappointing results, system developers experimented with other models, including Evolutionary Delivery and Evolutionary Development, in order to enable successful technology exploitation by businesses. Both these business and sy...

  12. Enabling distributed collaborative science

    DEFF Research Database (Denmark)

    Hudson, T.; Sonnenwald, Diane H.; Maglaughlin, K.

    2000-01-01

    To enable collaboration over distance, a collaborative environment that uses a specialized scientific instrument called a nanoManipulator is evaluated. The nanoManipulator incorporates visualization and force feedback technology to allow scientists to see, feel, and modify biological samples being...

  13. Sparse Representation Denoising for Radar High Resolution Range Profiling

    Directory of Open Access Journals (Sweden)

    Min Li

    2014-01-01

    Full Text Available Radar high resolution range profile has attracted considerable attention in radar automatic target recognition. In practice, radar return is usually contaminated by noise, which results in profile distortion and recognition performance degradation. To deal with this problem, in this paper, a novel denoising method based on sparse representation is proposed to remove the Gaussian white additive noise. The return is sparsely described in the Fourier redundant dictionary and the denoising problem is described as a sparse representation model. Noise level of the return, which is crucial to the denoising performance but often unknown, is estimated by performing subspace method on the sliding subsequence correlation matrix. Sliding window process enables noise level estimation using only one observation sequence, not only guaranteeing estimation efficiency but also avoiding the influence of profile time-shift sensitivity. Experimental results show that the proposed method can effectively improve the signal-to-noise ratio of the return, leading to a high-quality profile.

  14. Spatially enabled land administration

    DEFF Research Database (Denmark)

    Enemark, Stig

    2006-01-01

    enabling of land administration systems managing tenure, valuation, planning, and development will allow the information generated by these activities to be much more useful. Also, the services available to private and public sectors and to community organisations should commensurably improve. Knowledge....... In other words: Good governance and sustainable development is not attainable without sound land administration or - more broadly – sound land management. The paper presents a land management vision that incorporates the benefits of ICT enabled land administration functions. The idea is that spatial...... the communication between administrative systems and also establish more reliable data due to the use the original data instead of copies. In Denmark, such governmental guidelines for a service-oriented ITarchitecture in support of e-government are recently adopted. Finally, the paper presents the role of FIG...

  15. Enabling Wind Power Nationwide

    Energy Technology Data Exchange (ETDEWEB)

    Jose Zayas, Michael Derby, Patrick Gilman and Shreyas Ananthan,

    2015-05-01

    Leveraging this experience, the U.S. Department of Energy’s (DOE’s) Wind and Water Power Technologies Office has evaluated the potential for wind power to generate electricity in all 50 states. This report analyzes and quantifies the geographic expansion that could be enabled by accessing higher above ground heights for wind turbines and considers the means by which this new potential could be responsibly developed.

  16. The metabolic network of Clostridium acetobutylicum: Comparison of the approximate Bayesian computation via sequential Monte Carlo (ABC-SMC) and profile likelihood estimation (PLE) methods for determinability analysis.

    Science.gov (United States)

    Thorn, Graeme J; King, John R

    2016-01-01

    The Gram-positive bacterium Clostridium acetobutylicum is an anaerobic endospore-forming species which produces acetone, butanol and ethanol via the acetone-butanol (AB) fermentation process, leading to biofuels including butanol. In previous work we looked to estimate the parameters in an ordinary differential equation model of the glucose metabolism network using data from pH-controlled continuous culture experiments. Here we combine two approaches, namely the approximate Bayesian computation via an existing sequential Monte Carlo (ABC-SMC) method (to compute credible intervals for the parameters), and the profile likelihood estimation (PLE) (to improve the calculation of confidence intervals for the same parameters), the parameters in both cases being derived from experimental data from forward shift experiments. We also apply the ABC-SMC method to investigate which of the models introduced previously (one non-sporulation and four sporulation models) have the greatest strength of evidence. We find that the joint approximate posterior distribution of the parameters determines the same parameters as previously, including all of the basal and increased enzyme production rates and enzyme reaction activity parameters, as well as the Michaelis-Menten kinetic parameters for glucose ingestion, while other parameters are not as well-determined, particularly those connected with the internal metabolites acetyl-CoA, acetoacetyl-CoA and butyryl-CoA. We also find that the approximate posterior is strongly non-Gaussian, indicating that our previous assumption of elliptical contours of the distribution is not valid, which has the effect of reducing the numbers of pairs of parameters that are (linearly) correlated with each other. Calculations of confidence intervals using the PLE method back this up. Finally, we find that all five of our models are equally likely, given the data available at present. Copyright © 2015 Elsevier Inc. All rights reserved.

  17. EnableATIS strategy assessment.

    Science.gov (United States)

    2014-02-01

    Enabling Advanced Traveler Information Systems (EnableATIS) is the traveler information component of the Dynamic Mobility Application (DMA) program. The objective of : the EnableATIS effort is to foster transformative traveler information application...

  18. Enabling Digital Literacy

    DEFF Research Database (Denmark)

    Ryberg, Thomas; Georgsen, Marianne

    2010-01-01

    There are some tensions between high-level policy definitions of “digital literacy” and actual teaching practice. We need to find workable definitions of digital literacy; obtain a better understanding of what digital literacy might look like in practice; and identify pedagogical approaches, which...... support teachers in designing digital literacy learning. We suggest that frameworks such as Problem Based Learning (PBL) are approaches that enable digital literacy learning because they provide good settings for engaging with digital literacy. We illustrate this through analysis of a case. Furthermore......, these operate on a meso-level mediating between high-level concepts of digital literacy and classroom practice....

  19. Egg and whole-body amino acid profile of African bonytongue (Heterotis niloticus) with an estimation of their dietary indispensable amino acids requirements.

    Science.gov (United States)

    Monentcham, Serge-Eric; Whatelet, Bernard; Pouomogne, Victor; Kestemont, Patrick

    2010-09-01

    African bonytongue, Heterotis niloticus, is a river fish from the Central and West Africa basin. The species presents a great potential for fish farming and has been increasingly raised in Central and South Cameroon. The total amino acid and proximate composition of the whole body of egg, larva, juvenile, immature, and adult Heterotis were determined. Ash, moisture, whole-body protein, and lipid contents were significantly affected by size (P amino acid composition of the whole-body tissue, when expressed as a percentage of dietary protein, was not significantly different among ontogenetic stages (ranging from 0.2 to 400 g mean body mass). The amino acid composition of the eggs was quite different to the one of whole-body tissue with lower levels of methionine, proline, and glycine, and higher levels of arginine, histidine, isoleucine, leucine, threonine, valine, serine, and alanine. The A/E ratios of adult Heterotis muscle tissue are similar to those obtained for other fish species, except for histidine and tryptophan. Based on whole-body or muscle tissue indispensable amino acids (IAA) to A/E ratios, the IAA requirement profiles for Heterotis (from larva to adult) were estimated and are similar to those of other omnivorous fish species, except for tryptophan and histidine.

  20. The faster internal clock in ADHD is related to lower processing speed: WISC-IV profile analyses and time estimation tasks facilitate the distinction between real ADHD and pseudo-ADHD.

    Science.gov (United States)

    Walg, Marco; Hapfelmeier, Gerhard; El-Wahsch, Daniel; Prior, Helmut

    2017-10-01

    Alterations in temporal processing may represent a primary cause of key symptoms in ADHD. This study is aimed at investigating the nature of time-processing alterations in ADHD and assessing the possible utility of testing time estimation for clinical diagnostics. Retrospective verbal time estimation in the range of several minutes was examined in 50 boys with ADHD and 53 boys with other mental disorders. All participants (age 7-16) attended an outpatient clinic for ADHD diagnostics. The diagnostic assessment included the WISC-IV. Subjects with ADHD made longer and less accurate duration estimates than the clinical control group. The ADHD group showed a specific WISC-IV profile with processing speed deficits. In the ADHD group there was a correlation between processing speed and quality of time estimation that was not observed in the comparison group: higher processing speed indices were related to more accurate duration estimates. The findings provide support for the presence of a faster internal clock in subjects with ADHD and lend further support to the existence of a specific WISC-IV profile in subjects with ADHD. The results show that analyzing WISC-IV profiles and time estimation tasks are useful differential diagnosis tools, particularly when it comes to distinguishing between "real ADHD" and pseudo-ADHD.

  1. Smart Grid Enabled EVSE

    Energy Technology Data Exchange (ETDEWEB)

    None, None

    2015-01-12

    The combined team of GE Global Research, Federal Express, National Renewable Energy Laboratory, and Consolidated Edison has successfully achieved the established goals contained within the Department of Energy’s Smart Grid Capable Electric Vehicle Supply Equipment funding opportunity. The final program product, shown charging two vehicles in Figure 1, reduces by nearly 50% the total installed system cost of the electric vehicle supply equipment (EVSE) as well as enabling a host of new Smart Grid enabled features. These include bi-directional communications, load control, utility message exchange and transaction management information. Using the new charging system, Utilities or energy service providers will now be able to monitor transportation related electrical loads on their distribution networks, send load control commands or preferences to individual systems, and then see measured responses. Installation owners will be able to authorize usage of the stations, monitor operations, and optimally control their electricity consumption. These features and cost reductions have been developed through a total system design solution.

  2. Fishing Community Profiles

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — To enable fisheries managers to comply with National Standard 8 (NS8), NMFS social scientists around the nation are preparing fishing community profiles that present...

  3. Enabling graphene nanoelectronics.

    Energy Technology Data Exchange (ETDEWEB)

    Pan, Wei; Ohta, Taisuke; Biedermann, Laura Butler; Gutierrez, Carlos; Nolen, C. M.; Howell, Stephen Wayne; Beechem Iii, Thomas Edwin; McCarty, Kevin F.; Ross, Anthony Joseph, III

    2011-09-01

    Recent work has shown that graphene, a 2D electronic material amenable to the planar semiconductor fabrication processing, possesses tunable electronic material properties potentially far superior to metals and other standard semiconductors. Despite its phenomenal electronic properties, focused research is still required to develop techniques for depositing and synthesizing graphene over large areas, thereby enabling the reproducible mass-fabrication of graphene-based devices. To address these issues, we combined an array of growth approaches and characterization resources to investigate several innovative and synergistic approaches for the synthesis of high quality graphene films on technologically relevant substrate (SiC and metals). Our work focused on developing the fundamental scientific understanding necessary to generate large-area graphene films that exhibit highly uniform electronic properties and record carrier mobility, as well as developing techniques to transfer graphene onto other substrates.

  4. Enabling immersive simulation.

    Energy Technology Data Exchange (ETDEWEB)

    McCoy, Josh (University of California Santa Cruz, Santa Cruz, CA); Mateas, Michael (University of California Santa Cruz, Santa Cruz, CA); Hart, Derek H.; Whetzel, Jonathan; Basilico, Justin Derrick; Glickman, Matthew R.; Abbott, Robert G.

    2009-02-01

    The object of the 'Enabling Immersive Simulation for Complex Systems Analysis and Training' LDRD has been to research, design, and engineer a capability to develop simulations which (1) provide a rich, immersive interface for participation by real humans (exploiting existing high-performance game-engine technology wherever possible), and (2) can leverage Sandia's substantial investment in high-fidelity physical and cognitive models implemented in the Umbra simulation framework. We report here on these efforts. First, we describe the integration of Sandia's Umbra modular simulation framework with the open-source Delta3D game engine. Next, we report on Umbra's integration with Sandia's Cognitive Foundry, specifically to provide for learning behaviors for 'virtual teammates' directly from observed human behavior. Finally, we describe the integration of Delta3D with the ABL behavior engine, and report on research into establishing the theoretical framework that will be required to make use of tools like ABL to scale up to increasingly rich and realistic virtual characters.

  5. Concentrations, profiles, and estimated human exposures for polychlorinated dibenzo-p-dioxins and dibenzofurans from electronic waste recycling facilities and a chemical industrial complex in Eastern China.

    Science.gov (United States)

    Ma, Jing; Kannan, Kurunthachalam; Cheng, Jinping; Horii, Yuichi; Wu, Qian; Wang, Wenhua

    2008-11-15

    Environmental pollution arising from electronic waste (e-waste) disposal and recycling has received considerable attention in recent years. Treatment, at low temperatures, of e-wastes that contain polyvinylchloride and related polymers can release polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs). Although several studies have reported trace metals and polybrominated diphenyl ethers (PBDEs) released from e-waste recycling operations, environmental contamination and human exposure to PCDD/Fs from e-waste recycling operations are less well understood. In this study, electronic shredder waste and dust from e-waste facilities, and leaves and surface soil collected in the vicinity of a large scale e-waste recycling facility in Taizhou, Eastern China, were analyzed for total PCDD/ Fs including 2,3,7,8-substituted congeners. We also determined PCDD/Fs in surface agricultural soils from several provinces in China for comparison with soils from e-waste facilities. Concentrations of total PCDD/Fs were high in all of the matrices analyzed and ranged from 30.9 to 11400 pg/g for shredder waste, 3460 to 9820 pg/g dry weight for leaves, 2560 to 148000 pg/g dry weight for workshop-floor dust, and 854 to 10200 pg/g dry weight for soils. We also analyzed surface soils from a chemical industrial complex (a coke-oven plant, a coal-fired power plant, and a chlor-alkali plant) in Shanghai. Concentrations of total PCDD/Fs in surface soil (44.5-531 pg/g dry wt) from the chemical industrial complex were lower than the concentrations found in soils from e-waste recycling plants, but higher than the concentrations found in agricultural soils. Agricultural soils from six cities in China contained low levels (3.44-33.8 pg/g dry wt) of total PCDD/Fs. Profiles of dioxin toxic equivalents (TEQs) of 2,3,7,8-PCDD/Fs in soils from e-waste facilities in Taizhou differed from the profiles found in agricultural soils. The estimated daily intakes of TEQs of PCDD/ Fs via soil/dust ingestion

  6. Development and validation of a sensitive liquid chromatography/mass spectrometry method for quantitation of flavopiridol in plasma enables accurate estimation of pharmacokinetic parameters with a clinically active dosing schedule.

    Science.gov (United States)

    Phelps, Mitch A; Rozewski, Darlene M; Johnston, Jeffrey S; Farley, Katherine L; Albanese, Katie A; Byrd, John C; Lin, Thomas S; Grever, Michael R; Dalton, James T

    2008-06-01

    A high-performance liquid chromatographic assay with tandem mass spectrometric detection was developed and validated for quantitation of the broad spectrum kinase inhibitor, flavopiridol, in human plasma. Sample preparation conditions included liquid-liquid extraction in acetonitrile (ACN), drying, and reconstitution in 20/80 water/ACN. Flavopiridol and the internal standard (IS), genistein, were separated by reversed phase chromatography using a C-18 column and a gradient of water with 25 mM ammonium formate and ACN. Electrospray ionization and detection of flavopiridol and genistein were accomplished with single reaction monitoring of m/z 402.09>341.02 and 271.09>152.90, respectively in positive-ion mode [M+H](+) on a triple quadrupole mass spectrometer. Recovery was greater than 90% throughout the linear range of 3-1000 nM. Replicate sample analysis indicated within- and between-run accuracy and precision to be less than 13% throughout the linear range. This method has the lowest lower limit of quantitation (LLOQ) reported to date for flavopiridol, and it allows for more accurate determination of terminal phase concentrations and improved pharmacokinetic parameter estimation in patients receiving an active dosing schedule of flavopiridol.

  7. FOILFEST :community enabled security.

    Energy Technology Data Exchange (ETDEWEB)

    Moore, Judy Hennessey; Johnson, Curtis Martin; Whitley, John B.; Drayer, Darryl Donald; Cummings, John C., Jr. (.,; .)

    2005-09-01

    The Advanced Concepts Group of Sandia National Laboratories hosted a workshop, ''FOILFest: Community Enabled Security'', on July 18-21, 2005, in Albuquerque, NM. This was a far-reaching look into the future of physical protection consisting of a series of structured brainstorming sessions focused on preventing and foiling attacks on public places and soft targets such as airports, shopping malls, hotels, and public events. These facilities are difficult to protect using traditional security devices since they could easily be pushed out of business through the addition of arduous and expensive security measures. The idea behind this Fest was to explore how the public, which is vital to the function of these institutions, can be leveraged as part of a physical protection system. The workshop considered procedures, space design, and approaches for building community through technology. The workshop explored ways to make the ''good guys'' in public places feel safe and be vigilant while making potential perpetrators of harm feel exposed and convinced that they will not succeed. Participants in the Fest included operators of public places, social scientists, technology experts, representatives of government agencies including DHS and the intelligence community, writers and media experts. Many innovative ideas were explored during the fest with most of the time spent on airports, including consideration of the local airport, the Albuquerque Sunport. Some provocative ideas included: (1) sniffers installed in passage areas like revolving door, escalators, (2) a ''jumbotron'' showing current camera shots in the public space, (3) transparent portal screeners allowing viewing of the screening, (4) a layered open/funnel/open/funnel design where open spaces are used to encourage a sense of ''communitas'' and take advantage of citizen ''sensing'' and funnels are technological

  8. Proteomic profiling in schizophrenia: Enabling stratification for more effective treatment

    NARCIS (Netherlands)

    P.C. Guest (Paul); D. Martins-de-Souza (Daniel); E. Schwarz (Emanuel); H. Rahmoune (Hassan); M. Alsaif (Murtada); J.J. Tomasik (Jakub); D. Turck (Dominique); S. Bahn (Sabine)

    2013-01-01

    textabstractSchizophrenia is a heterogeneous psychiatric disorder characterized by an array of clinical manifestations. Although the best known manifestations include serious effects on mood and behavior, patients can also display co-morbidities, including immune system or metabolic abnormalities.

  9. Performance changes in rowers after training aiming for improvement of the individual physiological profile estimated by five performance trials in four days

    DEFF Research Database (Denmark)

    Jensen, Kurt; Lippets, Rutger; de Boorder, Diederik

    Introduction Rowers perform over 2000m (5.3-7.5 min), but although they follow the same training program and look similar from a physical performance point of view, genetics and training history may have a great influence upon their individual physical profile and adaptation to training. It might...... be hypothesed that individual terms should be taken, i.e. that rowers with low max power should be motivated to do special power sessions, and equivalent, less powerful rowers, a program based on steady aerobic work. Hence, they should develop against a more balanced profile. Therefore, the aim of the current...... study was 1) to evaluate performance changes during a winter season and 2) focus on individual based training for development of performance aiming a more balanced profile in a group of young talented rowers. Methods Twenty Dutch university rowers, 14 males and 6 females: age 21.2±2.0 years, systematic...

  10. Gene set differential analysis of time course expression profiles via sparse estimation in functional logistic model with application to time-dependent biomarker detection.

    Science.gov (United States)

    Kayano, Mitsunori; Matsui, Hidetoshi; Yamaguchi, Rui; Imoto, Seiya; Miyano, Satoru

    2016-04-01

    High-throughput time course expression profiles have been available in the last decade due to developments in measurement techniques and devices. Functional data analysis, which treats smoothed curves instead of originally observed discrete data, is effective for the time course expression profiles in terms of dimension reduction, robustness, and applicability to data measured at small and irregularly spaced time points. However, the statistical method of differential analysis for time course expression profiles has not been well established. We propose a functional logistic model based on elastic net regularization (F-Logistic) in order to identify the genes with dynamic alterations in case/control study. We employ a mixed model as a smoothing method to obtain functional data; then F-Logistic is applied to time course profiles measured at small and irregularly spaced time points. We evaluate the performance of F-Logistic in comparison with another functional data approach, i.e. functional ANOVA test (F-ANOVA), by applying the methods to real and synthetic time course data sets. The real data sets consist of the time course gene expression profiles for long-term effects of recombinant interferon β on disease progression in multiple sclerosis. F-Logistic distinguishes dynamic alterations, which cannot be found by competitive approaches such as F-ANOVA, in case/control study based on time course expression profiles. F-Logistic is effective for time-dependent biomarker detection, diagnosis, and therapy. © The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  11. Estimate of bias in Aura TES HDO/H2O profiles from comparison of TES and in situ HDO/H2O measurements at the Mauna Loa observatory

    Directory of Open Access Journals (Sweden)

    J. Lee

    2011-05-01

    Full Text Available The Aura satellite Tropospheric Emission Spectrometer (TES instrument is capable of measuring the HDO/H2O ratio in the lower troposphere using thermal infrared radiances between 1200 and 1350 cm−1. However, direct validation of these measurements is challenging due to a lack of in situ measured vertical profiles of the HDO/H2O ratio that are spatially and temporally co-located with the TES observations. From 11 October through 5 November 2008, we undertook a campaign to measure HDO and H2O at the Mauna Loa observatory in Hawaii for comparison with TES observations. The Mauna Loa observatory is situated at 3.1 km above sea level or approximately 680 hPa, which is approximately the altitude where the TES HDO/H2O observations show the most sensitivity. Another advantage of comparing in situ data from this site to estimates derived from thermal IR radiances is that the volcanic rock is heated by sunlight during the day, thus providing significant thermal contrast between the surface and atmosphere; this thermal contrast increases the sensitivity to near surface estimates of tropospheric trace gases. The objective of this inter-comparison is to better characterize a bias in the TES HDO data, which had been previously estimated to be approximately 5 % too high for a column integrated value between 850 hPa and 500 hPa. We estimate that the TES HDO profiles should be corrected downwards by approximately 4.8 % and 6.3 % for Versions 3 and 4 of the data respectively. These corrections must account for the vertical sensitivity of the TES HDO estimates. We estimate that the precision of this bias correction is approximately 1.9 %. The accuracy is driven by the corrections applied to the in situ HDO and H2O measurements using flask data taken during the inter-comparison campaign and is estimated to be less than 1 %. Future comparisons of TES data to accurate vertical profiles of in situ measurements are needed to refine this bias estimate.

  12. Geo-Enabled, Mobile Services

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard

    2006-01-01

    We are witnessing the emergence of a global infrastructure that enables the widespread deployment of geo-enabled, mobile services in practice. At the same time, the research community has also paid increasing attention to data management aspects of mobile services. This paper offers me...

  13. Toward genome-enabled mycology.

    Science.gov (United States)

    Hibbett, David S; Stajich, Jason E; Spatafora, Joseph W

    2013-01-01

    Genome-enabled mycology is a rapidly expanding field that is characterized by the pervasive use of genome-scale data and associated computational tools in all aspects of fungal biology. Genome-enabled mycology is integrative and often requires teams of researchers with diverse skills in organismal mycology, bioinformatics and molecular biology. This issue of Mycologia presents the first complete fungal genomes in the history of the journal, reflecting the ongoing transformation of mycology into a genome-enabled science. Here, we consider the prospects for genome-enabled mycology and the technical and social challenges that will need to be overcome to grow the database of complete fungal genomes and enable all fungal biologists to make use of the new data.

  14. Hardness depth profiling in steel by photothermal testing; Erfassung von Haertetiefe und Haerteprofil in Eisenwerkstoffen mit photothermischen Verfahren

    Energy Technology Data Exchange (ETDEWEB)

    Walther, H.G.; Lan, T.T.N. [Friedrich-Schiller-Univ. Jena (Germany). Inst. fuer Optik und Quantenelektronik

    1998-05-01

    The experimentally verified connection between microhardness and local thermal conductivity enables the photothermal hardness depth profiling. This can be done by estimating the thermal conductivity depth profile from frequency dependent radiometric measurements. The accuracy of the retrieval depends strongly on signal-to-noise ratio. According to the underlying theoretical model the generation of plane thermal waves probing the material under test is required. A numerical inversion technique is presented to approximate the thermal conductivity profile by a set of linear slopes. Measurements are performed at case and laser hardened specimen to verify the feasibility of photothermal hardness depth profiling. (orig.) 17 refs.

  15. Multifaceted aspects of chunking enable robust algorithms.

    Science.gov (United States)

    Acuna, Daniel E; Wymbs, Nicholas F; Reynolds, Chelsea A; Picard, Nathalie; Turner, Robert S; Strick, Peter L; Grafton, Scott T; Kording, Konrad P

    2014-10-15

    Sequence production tasks are a standard tool to analyze motor learning, consolidation, and habituation. As sequences are learned, movements are typically grouped into subsets or chunks. For example, most Americans memorize telephone numbers in two chunks of three digits, and one chunk of four. Studies generally use response times or error rates to estimate how subjects chunk, and these estimates are often related to physiological data. Here we show that chunking is simultaneously reflected in reaction times, errors, and their correlations. This multimodal structure enables us to propose a Bayesian algorithm that better estimates chunks while avoiding overfitting. Our algorithm reveals previously unknown behavioral structure, such as an increased error correlations with training, and promises a useful tool for the characterization of many forms of sequential motor behavior. Copyright © 2014 the American Physiological Society.

  16. The impact of in-canopy wind profile formulations on heat flux estimation using the remote sensing-based two-source model for an open orchard canopy in southern Italy

    Science.gov (United States)

    Cammalleri, C.; Anderson, M. C.; Ciraolo, G.; D'Urso, G.; Kustas, W. P.; La Loggia, G.; Minacapilli, M.

    2010-07-01

    For open orchard and vineyard canopies containing significant fractions of exposed soil (>50%), typical of Mediterranean agricultural regions, the energy balance of the vegetation elements is strongly influenced by heat exchange with the bare soil/substrate. For these agricultural systems a "two-source" approach, where radiation and turbulent exchange between the soil and canopy elements are explicitly modelled, appears to be the only suitable methodology for reliably assessing energy fluxes. In strongly clumped canopies, the effective wind speed profile inside and below the canopy layer can highly influence the partitioning of energy fluxes between the soil and vegetation components. To assess the impact of in-canopy wind profile on model flux estimates, an analysis of three different formulations is presented, including algorithms from Goudriaan (1977), Massman (1987) and Lalic et al. (2003). The in-canopy wind profile formulations are applied to the thermal-based Two-Source Energy Balance (TSEB) model developed by Norman et al. (1995) and modified by Kustas and Norman (1999). High resolution airborne remote sensing images, collected over an agricultural area located in the western part of Sicily (Italy) comprised primarily of vineyards, olive and citrus orchards, are used to derive all the input parameters need to apply the TSEB. The images were acquired from June to October 2008 and include a relatively wide range of meteorological and soil moisture conditions. A preliminary sensitivity analysis of the three wind profile algorithms highlight the dependence of wind speed just above the soil/substrate to leaf area index and canopy height over the typical canopy properties range of these agricultural area. It is found that differences in wind just above surface among the models is most significant under sparse and medium fractional cover conditions (20-60%). The TSEB model heat flux estimates are compared with micrometeorological measurements from a small aperture

  17. Taxonomy Enabled Discovery (TED) Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The proposal addresses the NASA's need to enable scientific discovery and the topic's requirements for: processing large volumes of data, commonly available on the...

  18. Computer Security Systems Enable Access.

    Science.gov (United States)

    Riggen, Gary

    1989-01-01

    A good security system enables access and protects information from damage or tampering, but the most important aspects of a security system aren't technical. A security procedures manual addresses the human element of computer security. (MLW)

  19. Secure Enclaves-Enabled Technologies

    Science.gov (United States)

    2014-04-25

    William Vine , Benjamin Vowell Team Advisor: Capt Nick Mastronardi UNITED STATES AIR FORCE ACADEMY Introduction Secure Enclaves-Enabled...hardware solution to cyber security is unique in an industry dominated by software solutions which hackers inevitably find ways to circumnavigate

  20. Estimation of power dissipation of a 4H-SiC Schottky barrier diode with a linearly graded doping profile in the drift region

    Directory of Open Access Journals (Sweden)

    Rajneesh Talwar

    2009-09-01

    Full Text Available The aim of this paper is to establish the importance of a linearly graded profile in the drift region of a 4H-SiC Schottky barrier diode (SBD. The power dissipation of the device is found to be considerably lower at any given current density as compared to its value obtained for a uniformly doped drift region. The corresponding values of breakdown voltages obtained are similar to those obtained with uniformly doped wafers of 4H-SiC.

  1. PHM Enabled Autonomous Propellant Loading Operations

    Science.gov (United States)

    Walker, Mark; Figueroa, Fernando

    2017-01-01

    The utility of Prognostics and Health Management (PHM) software capability applied to Autonomous Operations (AO) remains an active research area within aerospace applications. The ability to gain insight into which assets and subsystems are functioning properly, along with the derivation of confident predictions concerning future ability, reliability, and availability, are important enablers for making sound mission planning decisions. When coupled with software that fully supports mission planning and execution, an integrated solution can be developed that leverages state assessment and estimation for the purposes of delivering autonomous operations. The authors have been applying this integrated, model-based approach to the autonomous loading of cryogenic spacecraft propellants at Kennedy Space Center.

  2. Similarities and Improvements of GPM Dual-Frequency Precipitation Radar (DPR) upon TRMM Precipitation Radar (PR) in Global Precipitation Rate Estimation, Type Classification and Vertical Profiling

    OpenAIRE

    Jinyu Gao; Guoqiang Tang; Yang Hong

    2017-01-01

    Spaceborne precipitation radars are powerful tools used to acquire adequate and high-quality precipitation estimates with high spatial resolution for a variety of applications in hydrological research. The Global Precipitation Measurement (GPM) mission, which deployed the first spaceborne Ka- and Ku-dual frequency radar (DPR), was launched in February 2014 as the upgraded successor of the Tropical Rainfall Measuring Mission (TRMM). This study matches the swath data of TRMM PR and GPM DPR Leve...

  3. Methane uptake in soils of Southern Spain estimated by two different techniques: Static chamber and 222radon flux and soil air concentration profiles

    Science.gov (United States)

    Dueñas, C.; Fernández, M. C.; Carretero, J.; Liger, E.

    Measurements of methane fluxes from four differing soils in the surroundings of Málaga (Spain) were carried out by two methods: a direct method using a static accumulation chamber at the soil surface and an indirect method obtained from simultaneously measured 222Rn flux from the soil surface in parallel with the concentration profile measurements of 222Rn and CH 4 in the air of soil. The directly measured methane flux at all the investigated soils was higher than the methane fluxes derived from the indirect method. Atmospheric methane was consumed by all the soils and mean direct flux to the atmosphere were 3.25 μmol m -2 h -1. The study showed no correlation between methane uptake and soil temperature, which might be due to the dry conditions prevailing during the study period.

  4. Estimation of Leakage Potential of Selected Sites in Interstate and Tri-State Canals Using Geostatistical Analysis of Selected Capacitively Coupled Resistivity Profiles, Western Nebraska, 2004

    Science.gov (United States)

    Vrabel, Joseph; Teeple, Andrew; Kress, Wade H.

    2009-01-01

    With increasing demands for reliable water supplies and availability estimates, groundwater flow models often are developed to enhance understanding of surface-water and groundwater systems. Specific hydraulic variables must be known or calibrated for the groundwater-flow model to accurately simulate current or future conditions. Surface geophysical surveys, along with selected test-hole information, can provide an integrated framework for quantifying hydrogeologic conditions within a defined area. In 2004, the U.S. Geological Survey, in cooperation with the North Platte Natural Resources District, performed a surface geophysical survey using a capacitively coupled resistivity technique to map the lithology within the top 8 meters of the near-surface for 110 kilometers of the Interstate and Tri-State Canals in western Nebraska and eastern Wyoming. Assuming that leakage between the surface-water and groundwater systems is affected primarily by the sediment directly underlying the canal bed, leakage potential was estimated from the simple vertical mean of inverse-model resistivity values for depth levels with geometrically increasing layer thickness with depth which resulted in mean-resistivity values biased towards the surface. This method generally produced reliable results, but an improved analysis method was needed to account for situations where confining units, composed of less permeable material, underlie units with greater permeability. In this report, prepared by the U.S. Geological Survey in cooperation with the North Platte Natural Resources District, the authors use geostatistical analysis to develop the minimum-unadjusted method to compute a relative leakage potential based on the minimum resistivity value in a vertical column of the resistivity model. The minimum-unadjusted method considers the effects of homogeneous confining units. The minimum-adjusted method also is developed to incorporate the effect of local lithologic heterogeneity on water

  5. Smart Grid enabled heat pumps

    DEFF Research Database (Denmark)

    Carmo, Carolina; Detlefsen, Nina; Nielsen, Mads Pagh

    2014-01-01

    The transition towards a 100 % fossil-free energy system, while achieving extreme penetration levels of intermittent wind and solar power in electricity generation, requires demand-side technologies that are smart (intermittency-friendly) and efficient. The integration of Smart Grid enabling...

  6. Editorial: Schools as enabling environments

    African Journals Online (AJOL)

    Hennie

    South African Journal of Education, Volume 34, Number 4, November 2014. 1. Editorial, 6 pages, http://www.sajournalofeducation.co.za. Editorial: Schools as enabling environments. Guest Editors: Mahlapahlapana Themane and David Osher. Children and youth need safe and supportive schools if they are to succeed in ...

  7. Estimación de la característica de Inductancia de fase del Motor de Reluctancia Conmutada MFR 132.1;Estimation of phase inductance profile of MFR 132.1 switched reluctance motor

    Directory of Open Access Journals (Sweden)

    Javier Quintana - Santos

    2011-06-01

    Full Text Available En el presente trabajo se enuncia la idea fundamental en la que se basan todos los métodos empleados para la estimación de los parámetros de fase de los motores de reluctancia conmutada. Se describe, además, un algoritmo de división con punto decimal fijo en lenguaje VHDL. El algoritmo descrito se utiliza posteriormente para la estimación de la inductancia de fase del motor de reluctancia conmutada MFR 132.1, mediante el empleo de la técnica invasiva de modulación de amplitud con señales de tensión pulsantes de tres estados. Se diseñó y construyó una instalación experimental sobre la base de un FPGA de Actel, de la familia ProASIC 3 modelo A3P250, para el procesamiento de las señales. Finalmente se exponen y comentan las características de inductancia de fase del motor de reluctancia MFR 132.1, obtenidas.In the present work is enunciated the fundamental idea of all the methods used for the estimation of phase parameters in the switched reluctance motors. The fixed point division algorithm employed to estimate the inactive phase inductance profile of the MFR 132.1 switched reluctance motor, is described in VHDL programming language. The algorithm implements the intrusive estimation technique of amplitude modulation with three states pulsating signals. The structure of the experimental set up for the digital signal processing, which is based on the Actel FPGA ProAsic 3 A3P250 development kit, is depicted. Finally, the inactive phase’s inductance profiles, which were experimentally obtained, are shown for different voltage values in the Direct Current converter link.

  8. Estimación de la característica de Inductancia de fase del Motor de Reluctancia Conmutada MFR 132.1 Estimation of phase inductance profile of MFR 132.1 switched reluctance motor

    Directory of Open Access Journals (Sweden)

    Javier Quintana Santos

    2011-06-01

    Full Text Available En el presente trabajo se enuncia la idea fundamental en la que se basan todos los métodos empleados para la estimación de los parámetros de fase de los motores de reluctancia conmutada. Se describe, además, un algoritmo de división con punto decimal fijo en lenguaje VHDL. El algoritmo descrito se utiliza posteriormente para la estimación de la inductancia de fase del motor de reluctancia conmutada MFR 132.1, mediante el empleo de la técnica invasiva de modulación de amplitud con señales de tensión pulsantes de tres estados. Se diseñó y construyó una instalación experimental sobre la base de un FPGA de Actel, de la familia ProASIC 3 modelo A3P250, para el procesamiento de las señales. Finalmente se exponen y comentan las características de inductancia de fase del motor de reluctancia MFR 132.1, obtenidas.  In the present work is enunciated the fundamental idea of all the methods used for the estimation of phase parameters in the switched reluctance motors. The fixed point division algorithm employed to estimate the inactive phase inductance profile of the MFR 132.1 switched reluctance motor, is described in VHDL programming language. The algorithm implements the intrusive estimation technique of amplitude modulation with three states pulsating signals. The structure of the experimental set up for the digital signal processing, which is based on the Actel FPGA ProAsic 3 A3P250 development kit, is depicted. Finally, the inactive phase’s inductance profiles, which were experimentally obtained, are shown for different voltage values in the Direct Current converter link.

  9. Estimation of ruminal and intestinal digestion profiles, hourly effective degradation ratio and potential N to energy synchronization of co-products from bioethanol processing.

    Science.gov (United States)

    Nuez-Ortín, Waldo G; Yu, Peiqiang

    2010-09-01

    Little research has been conducted to determine the magnitude of the differences in nutritive value among wheat dried distillers' grains with solubles (DDGS), corn DDGS and blend DDGS, or between different bioethanol plants. The objectives of this study were to compare different types of DDGS and different bioethanol plants in terms of: (1) rumen degradation kinetics profile of each DDGS component and rumen availability; (2) intestinal digestion profile of rumen undegraded protein; (3) hourly effective rumen degradation ratio and potential N-to-energy synchronization; (4) the role of acid detergent insoluble nitrogen in the determination of nutrient availability of DDGS. In addition, these parameters were compared in DDGS as opposed to parental grain. (1) The effective degradability of dry matter in DDGS samples increased as the content of feedstock wheat increased. DDGS are a good source of rumen-undegradable protein. The protein content of DDGS derived from wheat is higher relative to that derived from corn; however, the undegradability of the protein fraction increases as the proportion of corn in the feedstock augments. (2) In addition, DDGS provide significant amounts of rumen-degradable protein, which increased as the content of wheat in the feedstock increased. This indicates a potential loss of N when high levels of DDGS are included in the diet. (3) Acid detergent insoluble crude protein (ADICP) levels were low across DDGS samples, revealing no effect on ruminal and intestinal disappearance of protein. However, consideration should be given to the numerical differences in digestibility of rumen-undegradable protein and the relation to ADICP content. (4) Further research with a higher number of samples and higher variability in the ADICP content should be undertaken to investigate the effect of ADICP on rumen and intestinal disappearance of DDGS protein. The digestive characteristics of each DDGS component (dry matter, organic matter, crude protein and

  10. Estimated age and gender profile of individuals missed by a home-based HIV testing and counselling campaign in a Botswana community

    Directory of Open Access Journals (Sweden)

    Vlad Novitsky

    2015-05-01

    Full Text Available Introduction: It would be useful to understand which populations are not reached by home-based HIV-1 testing and counselling (HTC to improve strategies aimed at linking these individuals to care and reducing rates of onward HIV transmission. Methods: We present the results of a baseline home-based HTC (HBHTC campaign aimed at counselling and testing residents aged 16 to 64 for HIV in the north-eastern sector of Mochudi, a community in Botswana with about 44,000 inhabitants. Collected data were compared with population references for Botswana, the United Nations (UN estimates based on the National Census data and the Botswana AIDS Impact Survey IV (BAIS-IV. Analyzed data and references were stratified by age and gender. Results: A total of 6238 age-eligible residents were tested for HIV-1; 1247 (20.0%; 95% CI 19.0 to 21.0% were found to be HIV positive (23.7% of women vs. 13.4% of men. HIV-1 prevalence peaked at 44% in 35- to 39-year-old women and 32% in 40- to 44-year-old men. A lower HIV prevalence rate, 10.9% (95% CI 9.5 to 12.5%, was found among individuals tested for the first time. A significant gender gap was evident in all analyzed subsets. The existing HIV transmission network was analyzed by combining phylogenetic mapping and household structure. Between 62.4 and 71.8% of all HIV-positive individuals had detectable virus. When compared with the UN and BAIS-IV estimates, the proportion of men missed by the testing campaign (48.5%; 95% CI 47.0 to 50.0% was significantly higher than the proportion of missed women (14.2%; 95% CI 13.2 to 15.3%; p<0.0001. The estimated proportion of missed men peaked at about 60% in the age group 30 to 39 years old. The proportions of missed women were substantially smaller, at approximately 28% within the age groups 30 to 34 and 45 to 49 years old. Conclusions: The HBHTC campaign seems to be an efficient tool for reaching individuals who have never been tested previously in southern African communities

  11. Similarities and Improvements of GPM Dual-Frequency Precipitation Radar (DPR upon TRMM Precipitation Radar (PR in Global Precipitation Rate Estimation, Type Classification and Vertical Profiling

    Directory of Open Access Journals (Sweden)

    Jinyu Gao

    2017-11-01

    Full Text Available Spaceborne precipitation radars are powerful tools used to acquire adequate and high-quality precipitation estimates with high spatial resolution for a variety of applications in hydrological research. The Global Precipitation Measurement (GPM mission, which deployed the first spaceborne Ka- and Ku-dual frequency radar (DPR, was launched in February 2014 as the upgraded successor of the Tropical Rainfall Measuring Mission (TRMM. This study matches the swath data of TRMM PR and GPM DPR Level 2 products during their overlapping periods at the global scale to investigate their similarities and DPR’s improvements concerning precipitation amount estimation and type classification of GPM DPR over TRMM PR. Results show that PR and DPR agree very well with each other in the global distribution of precipitation, while DPR improves the detectability of precipitation events significantly, particularly for light precipitation. The occurrences of total precipitation and the light precipitation (rain rates < 1 mm/h detected by GPM DPR are ~1.7 and ~2.53 times more than that of PR. With regard to type classification, the dual-frequency (Ka/Ku and single frequency (Ku methods performed similarly. In both inner (the central 25 beams and outer swaths (1–12 beams and 38–49 beams of DPR, the results are consistent. GPM DPR improves precipitation type classification remarkably, reducing the misclassification of clouds and noise signals as precipitation type “other” from 10.14% of TRMM PR to 0.5%. Generally, GPM DPR exhibits the same type division for around 82.89% (71.02% of stratiform (convective precipitation events recognized by TRMM PR. With regard to the freezing level height and bright band (BB height, both radars correspond with each other very well, contributing to the consistency in stratiform precipitation classification. Both heights show clear latitudinal dependence. Results in this study shall contribute to future development of spaceborne

  12. A rapid anion-exchange chromatography for measurement of cholesterol concentrations in five lipoprotein classes and estimation of lipoprotein profiles in male volunteers without overt diseases.

    Science.gov (United States)

    Manita, Daisuke; Hirowatari, Yuji; Yoshida, Hiroshi

    2015-11-01

    Analysis of lipoprotein profile gives important clinical information for lipid-lowering therapy which prevents atherosclerotic diseases. The lipoprotein classes can be isolated from serum with ultracentrifugation, which inevitably consumes a long time and needs large serum volume. We have established a method with anion-exchange chromatography with 1.0 µL of the injected volume in 5.2 min for assay of one sample. One-hundred-forty-one male volunteers without overt diseases were divided three groups (Group 1, non-dyslipidemia with LDL-cholesterol [LDL-C] cholesterol (HDL-C) ≥40 mg/dL; Group 2, borderline dyslipidemia with 120 ≤ LDL-C cholesterol, VLDL-cholesterol, and other fraction (chylomicron + lipoprotein [a])-cholesterol (other-C). The within-day and between-day assay coefficients of variation of lipoprotein cholesterol values were 0.33-4.31% and 2.37-9.19%, respectively. The correlation coefficients between values of HDL-C, LDL-C, IDL-C and VLDL-C by the anion-exchange chromatography and those by ultracentrifugal method were 0.97, 0.92, 0.58 and 0.94, respectively. Group 3 had significantly lower HDL-C and higher concentrations of IDL-C, VLDL-C and other-C than did Group 1. Group 2, borderline dyslipidemia, had significantly higher concentrations of IDL-C and VLDL-C than did Group 1. The rapid anion-exchange chromatography assay may be sufficiently applied to the assessment of borderline dyslipidemia. © The Author(s) 2015.

  13. Organizational Enablers for Project Governance

    DEFF Research Database (Denmark)

    Müller, Ralf; Shao, Jingting; Pemsel, Sofia

    and their relationships to organizational success. Based on these results, the authors discovered that organizational enablers (including key factors such as leadership, governance, and influence of project managers) have a critical impact on how organizations operate, adapt to market fluctuations and forces, and make...... essential changes over time. This must-read book is a practical guide for executives and project managers alike. The insights and industry examples provided can be applied to any project-based organization......., Organizational Enablers for Project Governance, Ralf Müller, Jingting Shao, and Sofia Pemsel examine the interaction of governance and governmentality in various types of companies and demonstrate how these factors drive business success and influence project work, efficiency, and profitability. The data...

  14. New Generation Sensor Web Enablement

    Directory of Open Access Journals (Sweden)

    Christoph Stasch

    2011-03-01

    Full Text Available Many sensor networks have been deployed to monitor Earth’s environment, and more will follow in the future. Environmental sensors have improved continuously by becoming smaller, cheaper, and more intelligent. Due to the large number of sensor manufacturers and differing accompanying protocols, integrating diverse sensors into observation systems is not straightforward. A coherent infrastructure is needed to treat sensors in an interoperable, platform-independent and uniform way. The concept of the Sensor Web reflects such a kind of infrastructure for sharing, finding, and accessing sensors and their data across different applications. It hides the heterogeneous sensor hardware and communication protocols from the applications built on top of it. The Sensor Web Enablement initiative of the Open Geospatial Consortium standardizes web service interfaces and data encodings which can be used as building blocks for a Sensor Web. This article illustrates and analyzes the recent developments of the new generation of the Sensor Web Enablement specification framework. Further, we relate the Sensor Web to other emerging concepts such as the Web of Things and point out challenges and resulting future work topics for research on Sensor Web Enablement.

  15. 'Ethos' Enabling Organisational Knowledge Creation

    Science.gov (United States)

    Matsudaira, Yoshito

    This paper examines knowledge creation in relation to improvements on the production line in the manufacturing department of Nissan Motor Company and aims to clarify embodied knowledge observed in the actions of organisational members who enable knowledge creation will be clarified. For that purpose, this study adopts an approach that adds a first, second, and third-person's viewpoint to the theory of knowledge creation. Embodied knowledge, observed in the actions of organisational members who enable knowledge creation, is the continued practice of 'ethos' (in Greek) founded in Nissan Production Way as an ethical basis. Ethos is knowledge (intangible) assets for knowledge creating companies. Substantiated analysis classifies ethos into three categories: the individual, team and organisation. This indicates the precise actions of the organisational members in each category during the knowledge creation process. This research will be successful in its role of showing the indispensability of ethos - the new concept of knowledge assets, which enables knowledge creation -for future knowledge-based management in the knowledge society.

  16. Determination and estimation of pharmacokinetic profile of caffeine in form of extract of green tea leaves and its analogy with synthetic form.

    Science.gov (United States)

    Shanmugasundaram, Sangeetha; Manjunatha, N; Vijayan, R; Khatwal, R B; Samanta, M K

    2011-11-01

    The aim of the study was to formulate and investigate the pharmacokinetic parameters for the tablets of herbal extract of caffeine with comparison to synthetic formulation. The tablets of the aqueous herbal extract of leaves of Camellia sinensis and synthetic caffeine were formulated by wet granulation technique. The HPLC and HPTLC were applied as analytical tools for estimation of caffeine. The batches of formulation (B1 to B7) were subjected for various pre and post-formulation studies. The pharmacokinetic of the batch B5 was assessed in rabbits, and the results were compared to synthetic batch B7. With the suitable pre and post-formulation results, the B5 showed in vitro release of 90.54% of caffeine at the end of 60 min. The release followed first order kinetics and the plot of Higuchi and Peppas confirms anomalous diffusion as the basic mechanism behind the release. B5 revealed non-significant mean C(max), t(1/2), and AUC of 1.88 μg/ml, 5.52 h and 9.67 μg.h/ml respectively compared to B7. The study highlights; no significant difference in the pharmacological effect of caffeine when administered in the form of extract. The administration of herbal extract can further provide the other health benefits lacked by synthetic caffeine.

  17. Venture Capitalist Enabled Entrepreneurial Mentoring

    DEFF Research Database (Denmark)

    Agrawal, Anirudh

    2018-01-01

    -up entrepreneur. Using some interviews and secondary data from three Indian VC firms, this chapter explores the VC and investee enterprise mentoring within the Indian start-up ecosystem, The data analysis suggests that factors for the best outcomes include VCs that are highly networked‚ intensively sector focused......, have entrepreneurs as investors, and that engage frequently with investees over managerial and market issues. Using these cases, this study proposes an antecedent‚ action and outcome model of venture capital enabled entrepreneurial mentoring in India. This model can be expanded in the global context....

  18. Optimized microsystems-enabled photovoltaics

    Energy Technology Data Exchange (ETDEWEB)

    Cruz-Campa, Jose Luis; Nielson, Gregory N.; Young, Ralph W.; Resnick, Paul J.; Okandan, Murat; Gupta, Vipin P.

    2015-09-22

    Technologies pertaining to designing microsystems-enabled photovoltaic (MEPV) cells are described herein. A first restriction for a first parameter of an MEPV cell is received. Subsequently, a selection of a second parameter of the MEPV cell is received. Values for a plurality of parameters of the MEPV cell are computed such that the MEPV cell is optimized with respect to the second parameter, wherein the values for the plurality of parameters are computed based at least in part upon the restriction for the first parameter.

  19. Health-Enabled Smart Sensor Fusion Technology

    Science.gov (United States)

    Wang, Ray

    2012-01-01

    A process was designed to fuse data from multiple sensors in order to make a more accurate estimation of the environment and overall health in an intelligent rocket test facility (IRTF), to provide reliable, high-confidence measurements for a variety of propulsion test articles. The object of the technology is to provide sensor fusion based on a distributed architecture. Specifically, the fusion technology is intended to succeed in providing health condition monitoring capability at the intelligent transceiver, such as RF signal strength, battery reading, computing resource monitoring, and sensor data reading. The technology also provides analytic and diagnostic intelligence at the intelligent transceiver, enhancing the IEEE 1451.x-based standard for sensor data management and distributions, as well as providing appropriate communications protocols to enable complex interactions to support timely and high-quality flow of information among the system elements.

  20. Nanomaterial-enabled neural stimulation

    Directory of Open Access Journals (Sweden)

    Yongchen eWang

    2016-03-01

    Full Text Available Neural stimulation is a critical technique in treating neurological diseases and investigating brain functions. Traditional electrical stimulation uses electrodes to directly create intervening electric fields in the immediate vicinity of neural tissues. Second-generation stimulation techniques directly use light, magnetic fields or ultrasound in a non-contact manner. An emerging generation of non- or minimally invasive neural stimulation techniques is enabled by nanotechnology to achieve a high spatial resolution and cell-type specificity. In these techniques, a nanomaterial converts a remotely transmitted primary stimulus such as a light, magnetic or ultrasonic signal to a localized secondary stimulus such as an electric field or heat to stimulate neurons. The ease of surface modification and bio-conjugation of nanomaterials facilitates cell-type-specific targeting, designated placement and highly localized membrane activation. This review focuses on nanomaterial-enabled neural stimulation techniques primarily involving opto-electric, opto-thermal, magneto-electric, magneto-thermal and acousto-electric transduction mechanisms. Stimulation techniques based on other possible transduction schemes and general consideration for these emerging neurotechnologies are also discussed.

  1. Enabling Exploration Through Docking Standards

    Science.gov (United States)

    Hatfield, Caris A.

    2012-01-01

    Human exploration missions beyond low earth orbit will likely require international cooperation in order to leverage limited resources. International standards can help enable cooperative missions by providing well understood, predefined interfaces allowing compatibility between unique spacecraft and systems. The International Space Station (ISS) partnership has developed a publicly available International Docking System Standard (IDSS) that provides a solution to one of these key interfaces by defining a common docking interface. The docking interface provides a way for even dissimilar spacecraft to dock for exchange of crew and cargo, as well as enabling the assembly of large space systems. This paper provides an overview of the key attributes of the IDSS, an overview of the NASA Docking System (NDS), and the plans for updating the ISS with IDSS compatible interfaces. The NDS provides a state of the art, low impact docking system that will initially be made available to commercial crew and cargo providers. The ISS will be used to demonstrate the operational utility of the IDSS interface as a foundational technology for cooperative exploration.

  2. Context-Enabled Business Intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Troy Hiltbrand

    2012-04-01

    To truly understand context and apply it in business intelligence, it is vital to understand what context is and how it can be applied in addressing organizational needs. Context describes the facets of the environment that impact the way that end users interact with the system. Context includes aspects of location, chronology, access method, demographics, social influence/ relationships, end-user attitude/ emotional state, behavior/ past behavior, and presence. To be successful in making Business Intelligence content enabled, it is important to be able to capture the context of use user. With advances in technology, there are a number of ways in which this user based information can be gathered and exposed to enhance the overall end user experience.

  3. Simulation Enabled Safeguards Assessment Methodology

    Energy Technology Data Exchange (ETDEWEB)

    Robert Bean; Trond Bjornard; Thomas Larson

    2007-09-01

    It is expected that nuclear energy will be a significant component of future supplies. New facilities, operating under a strengthened international nonproliferation regime will be needed. There is good reason to believe virtual engineering applied to the facility design, as well as to the safeguards system design will reduce total project cost and improve efficiency in the design cycle. Simulation Enabled Safeguards Assessment MEthodology (SESAME) has been developed as a software package to provide this capability for nuclear reprocessing facilities. The software architecture is specifically designed for distributed computing, collaborative design efforts, and modular construction to allow step improvements in functionality. Drag and drop wireframe construction allows the user to select the desired components from a component warehouse, render the system for 3D visualization, and, linked to a set of physics libraries and/or computational codes, conduct process evaluations of the system they have designed.

  4. Enablers and constrainers to participation

    DEFF Research Database (Denmark)

    Desjardins, Richard; Milana, Marcella

    2007-01-01

    as to construct a tool for analyzing the targeting of adult learning policy, with regard to both its coverage and expected consequences. Our aim is to develop a means for a more in-depth analysis of the match-mismatch of public policy and persisting constraints to participation.......This paper briefly reviews some of evidence on participation patterns in Nordic countries and some of the defining parameters that may explain the observations. This is done in a comparative perspective by contrasting results from the 2003 Eurobarometer data between Nordic countries and a handful...... of non-Nordic countries. An emphasis is placed on the constraining and enabling elements to participation and how these may explain why certain groups participate more or less than others. A central question of interest to this paper is to what extent does (can) government intervention interact...

  5. Informatics enables public health surveillance

    Directory of Open Access Journals (Sweden)

    Scott J. N McNabb

    2017-01-01

    Full Text Available Over the past decade, the world has radically changed. New advances in information and communication technologies (ICT connect the world in ways never imagined. Public health informatics (PHI leveraged for public health surveillance (PHS, can enable, enhance, and empower essential PHS functions (i.e., detection, reporting, confirmation, analyses, feedback, response. However, the tail doesn't wag the dog; as such, ICT cannot (should not drive public health surveillance strengthening. Rather, ICT can serve PHS to more effectively empower core functions. In this review, we explore promising ICT trends for prevention, detection, and response, laboratory reporting, push notification, analytics, predictive surveillance, and using new data sources, while recognizing that it is the people, politics, and policies that most challenge progress for implementation of solutions.

  6. Genome-enabled plant metabolomics.

    Science.gov (United States)

    Tohge, Takayuki; de Souza, Leonardo Perez; Fernie, Alisdair R

    2014-09-01

    The grand challenge currently facing metabolomics is that of comprehensitivity whilst next generation sequencing and advanced proteomics methods now allow almost complete and at least 50% coverage of their respective target molecules, metabolomics platforms at best offer coverage of just 10% of the small molecule complement of the cell. Here we discuss the use of genome sequence information as an enabling tool for peak identity and for translational metabolomics. Whilst we argue that genome information is not sufficient to compute the size of a species metabolome it is highly useful in predicting the occurrence of a wide range of common metabolites. Furthermore, we describe how via gene functional analysis in model species the identity of unknown metabolite peaks can be resolved. Taken together these examples suggest that genome sequence information is current (and likely will remain), a highly effective tool in peak elucidation in mass spectral metabolomics strategies. Copyright © 2014 Elsevier B.V. All rights reserved.

  7. Data Profiling

    OpenAIRE

    Hladíková, Radka

    2010-01-01

    Title: Data Profiling Author: Radka Hladíková Department: Department of Software Engineering Supervisor: Ing. Vladimír Kyjonka Supervisor's e-mail address: Abstract: This thesis puts mind on problems with data quality and data profiling. This Work analyses and summarizes problems of data quality, data defects, process of data quality, data quality assessment and data profiling. The main topic is data profiling as a process of researching data available in existing...

  8. Profiling of MAX-DOAS BrO measurements from Antarctica and NO2 measurements from CINDI

    Science.gov (United States)

    Hay, Tim; Kreher, Karin; Johnston, Paul; Bodeker, Greg; Schofield, Robyn; Thomas, Alan; McDonald, Adrian; Martinez-Aviles, Monica

    2010-05-01

    We will present a newly developed algorithm for the retrieval of tropospheric trace gas profiles from MAX-DOAS measurements. A Monte Carlo radiative transfer model, NIMO (NIWA Monte Carlo model) is used to calculate the weighting functions and forward model DSCDs (Differential Slant Column Densities). NIMO uses the local estimation technique to substantially speed up the determination of DSCDs for any given set of measurement geometries, enabling use of the model ‘online' rather than using pre-calculated lookup tables. The optimal estimation method is used to retrieve profiles for either single or multiple scan sequences or over prescribed time intervals. This inversion method is used to derive NO2 profiles from MAX-DOAS measurements made during the CINDI campaign at Cabauw, Netherlands, in June/July 2009. BrO profiles retrieved from sea-ice MAX-DOAS measurements, made during two Antarctic springtime campaigns in 2006 and 2007, are also presented.

  9. Important innovation enablers for innovation teams

    OpenAIRE

    Johnsson, Mikael

    2016-01-01

    This research aims to study if innovation enablers (Enablers), i.e. factors that enable innovation work, are important for innovation teams in on-going innovation work and if lack of Enablers affects innovation projects negatively. The background to this study is that prior research states that numerous factors are important for innovation work, but there’s still knowledge to gain whatever these Enablers are perceived to be important by innovation teams. Data from three innovation teams on-go...

  10. Enabling technology for human collaboration.

    Energy Technology Data Exchange (ETDEWEB)

    Murphy, Tim Andrew (MindTel, LLC, Syracuse, NY); Jones, Wendell Bruce; Warner, David Jay (MindTel, LLC, Syracuse, NY); Doser, Adele Beatrice; Johnson, Curtis Martin; Merkle, Peter Benedict

    2003-11-01

    This report summarizes the results of a five-month LDRD late start project which explored the potential of enabling technology to improve the performance of small groups. The purpose was to investigate and develop new methods to assist groups working in high consequence, high stress, ambiguous and time critical situations, especially those for which it is impractical to adequately train or prepare. A testbed was constructed for exploratory analysis of a small group engaged in tasks with high cognitive and communication performance requirements. The system consisted of five computer stations, four with special devices equipped to collect physiologic, somatic, audio and video data. Test subjects were recruited and engaged in a cooperative video game. Each team member was provided with a sensor array for physiologic and somatic data collection while playing the video game. We explored the potential for real-time signal analysis to provide information that enables emergent and desirable group behavior and improved task performance. The data collected in this study included audio, video, game scores, physiological, somatic, keystroke, and mouse movement data. The use of self-organizing maps (SOMs) was explored to search for emergent trends in the physiological data as it correlated with the video, audio and game scores. This exploration resulted in the development of two approaches for analysis, to be used concurrently, an individual SOM and a group SOM. The individual SOM was trained using the unique data of each person, and was used to monitor the effectiveness and stress level of each member of the group. The group SOM was trained using the data of the entire group, and was used to monitor the group effectiveness and dynamics. Results suggested that both types of SOMs were required to adequately track evolutions and shifts in group effectiveness. Four subjects were used in the data collection and development of these tools. This report documents a proof of concept

  11. Enabling Participation In Exoplanet Science

    Science.gov (United States)

    Taylor, Stuart F.

    2015-08-01

    Determining the distribution of exoplanets has required the contributions of a community of astronomers, who all require the support of colleagues to finish their projects in a manner to enable them to enter new collaborations to continue to contribute to understanding exoplanet science.The contributions of each member of the astronomy community are to be encouraged and must never be intentionally obstructed.We present a member’s long pursuit to be a contributing part of the exoplanet community through doing transit photometry as a means of commissioning the telescopes for a new observatory, followed by pursuit of interpreting the distributions in exoplanet parameter data.We present how the photometry projects have been presented as successful by the others who have claimed to have completed them, but how by requiring its employees to present results while omitting one member has been obstructive against members working together and has prevented the results from being published in what can genuinely be called a peer-reviewed fashion.We present how by tolerating one group to obstruct one member from finishing participation and then falsely denying credit is counterproductive to doing science.We show how expecting one member to attempt to go around an ostracizing group by starting something different is destructive to the entire profession. We repeat previously published appeals to help ostracized members to “go around the observatory” by calling for discussion on how the community must act to reverse cases of shunning, bullying, and other abuses. Without better recourse and support from the community, actions that do not meet standard good collegial behavior end up forcing good members from the community. The most important actions are to enable an ostracized member to have recourse to participating in group papers by either working through other authors or through the journal. All journals and authors must expect that no co-author is keeping out a major

  12. Symptom profiles of subsyndromal depression in disease clusters of diabetes, excess weight, and progressive cerebrovascular conditions: a promising new type of finding from a reliable innovation to estimate exhaustively specified multiple indicators–multiple causes (MIMIC models

    Directory of Open Access Journals (Sweden)

    Francoeur RB

    2016-12-01

    Full Text Available Richard B Francoeur School of Social Work, Adelphi University, Garden City, NY, USA Abstract: Addressing subsyndromal depression in cerebrovascular conditions, diabetes, and obesity reduces morbidity and risk of major depression. However, depression may be masked because self-reported symptoms may not reveal dysphoric (sad mood. In this study, the first wave (2,812 elders from the New Haven Epidemiological Study of the Elderly (EPESE was used. These population-weighted data combined a stratified, systematic, clustered random sample from independent residences and a census of senior housing. Physical conditions included progressive cerebrovascular disease (CVD; hypertension, silent CVD, stroke, and vascular cognitive impairment [VCI] and co-occurring excess weight and/or diabetes. These conditions and interactions (clusters simultaneously predicted 20 depression items and a latent trait of depression in participants with subsyndromal (including subthreshold depression (11≤ Center for Epidemiologic Studies Depression Scale [CES-D] score ≤27. The option for maximum likelihood estimation with standard errors that are robust to non-normality and non-independence in complex random samples (MLR in Mplus and an innovation created by the author were used for estimating unbiased effects from latent trait models with exhaustive specification. Symptom profiles reveal masked depression in 1 older males, related to the metabolic syndrome (hypertension–overweight–diabetes; silent CVD–overweight; and silent CVD–diabetes and 2 older females or the full sample, related to several diabetes and/or overweight clusters that involve stroke or VCI. Several other disease clusters are equivocal regarding masked depression; a couple do emphasize dysphoric mood. Replicating findings could identify subgroups for cost-effective screening of subsyndromal depression. Keywords: depression, diabetes, overweight, cerebrovascular disease, hypertension, metabolic

  13. CUDA Enabled Graph Subset Examiner

    Energy Technology Data Exchange (ETDEWEB)

    2016-12-22

    Finding Godsil-McKay switching sets in graphs is one way to demonstrate that a specific graph is not determined by its spectrum--the eigenvalues of its adjacency matrix. An important area of active research in pure mathematics is determining which graphs are determined by their spectra, i.e. when the spectrum of the adjacency matrix uniquely determines the underlying graph. We are interested in exploring the spectra of graphs in the Johnson scheme and specifically seek to determine which of these graphs are determined by their spectra. Given a graph G, a Godsil-McKay switching set is an induced subgraph H on 2k vertices with the following properties: I) H is regular, ii) every vertex in G/H is adjacent to either 0, k, or 2k vertices of H, and iii) at least one vertex in G/H is adjacent to k vertices in H. The software package examines each subset of a user specified size to determine whether or not it satisfies those 3 conditions. The software makes use of the massive parallel processing power of CUDA enabled GPUs. It also exploits the vertex transitivity of graphs in the Johnson scheme by reasoning that if G has a Godsil-McKay switching set, then it has a switching set which includes vertex 1. While the code (in its current state) is tuned to this specific problem, the method of examining each induced subgraph of G can be easily re-written to check for any user specified conditions on the subgraphs and can therefore be used much more broadly.

  14. Enabling individualized therapy through nanotechnology.

    Science.gov (United States)

    Sakamoto, Jason H; van de Ven, Anne L; Godin, Biana; Blanco, Elvin; Serda, Rita E; Grattoni, Alessandro; Ziemys, Arturas; Bouamrani, Ali; Hu, Tony; Ranganathan, Shivakumar I; De Rosa, Enrica; Martinez, Jonathan O; Smid, Christine A; Buchanan, Rachel M; Lee, Sei-Young; Srinivasan, Srimeenakshi; Landry, Matthew; Meyn, Anne; Tasciotti, Ennio; Liu, Xuewu; Decuzzi, Paolo; Ferrari, Mauro

    2010-08-01

    Individualized medicine is the healthcare strategy that rebukes the idiomatic dogma of 'losing sight of the forest for the trees'. We are entering a new era of healthcare where it is no longer acceptable to develop and market a drug that is effective for only 80% of the patient population. The emergence of "-omic" technologies (e.g. genomics, transcriptomics, proteomics, metabolomics) and advances in systems biology are magnifying the deficiencies of standardized therapy, which often provide little treatment latitude for accommodating patient physiologic idiosyncrasies. A personalized approach to medicine is not a novel concept. Ever since the scientific community began unraveling the mysteries of the genome, the promise of discarding generic treatment regimens in favor of patient-specific therapies became more feasible and realistic. One of the major scientific impediments of this movement towards personalized medicine has been the need for technological enablement. Nanotechnology is projected to play a critical role in patient-specific therapy; however, this transition will depend heavily upon the evolutionary development of a systems biology approach to clinical medicine based upon "-omic" technology analysis and integration. This manuscript provides a forward looking assessment of the promise of nanomedicine as it pertains to individualized medicine and establishes a technology "snapshot" of the current state of nano-based products over a vast array of clinical indications and range of patient specificity. Other issues such as market driven hurdles and regulatory compliance reform are anticipated to "self-correct" in accordance to scientific advancement and healthcare demand. These peripheral, non-scientific concerns are not addressed at length in this manuscript; however they do exist, and their impact to the paradigm shifting healthcare transformation towards individualized medicine will be critical for its success. Copyright 2010 Elsevier Ltd. All rights

  15. Enabling individualized therapy through nanotechnology

    Science.gov (United States)

    Sakamoto, Jason H.; van de Ven, Anne L.; Godin, Biana; Blanco, Elvin; Serda, Rita E.; Grattoni, Alessandro; Ziemys, Arturas; Bouamrani, Ali; Hu, Tony; Ranganathan, Shivakumar I.; De Rosa, Enrica; Martinez, Jonathan O.; Smid, Christine A.; Buchanan, Rachel M.; Lee, Sei-Young; Srinivasan, Srimeenakshi; Landry, Matthew; Meyn, Anne; Tasciotti, Ennio; Liu, Xuewu; Decuzzi, Paolo; Ferrari, Mauro

    2010-01-01

    Individualized medicine is the healthcare strategy that rebukes the idiomatic dogma of ‘losing sight of the forest for the trees’. We are entering a new era of healthcare where it is no longer acceptable to develop and market a drug that is effective for only 80% of the patient population. The emergence of “-omic” technologies (e.g. genomics, transcriptomics, proteomics, metabolomics) and advances in systems biology are magnifying the deficiencies of standardized therapy, which often provide little treatment latitude for accommodating patient physiologic idiosyncrasies. A personalized approach to medicine is not a novel concept. Ever since the scientific community began unraveling the mysteries of the genome, the promise of discarding generic treatment regimens in favor of patient-specific therapies became more feasible and realistic. One of the major scientific impediments of this movement towards personalized medicine has been the need for technological enablement. Nanotechnology is projected to play a critical role in patient-specific therapy; however, this transition will depend heavily upon the evolutionary development of a systems biology approach to clinical medicine based upon “-omic” technology analysis and integration. This manuscript provides a forward looking assessment of the promise of nanomedicine as it pertains to individualized medicine and establishes a technology “snapshot” of the current state of nano-based products over a vast array of clinical indications and range of patient specificity. Other issues such as market driven hurdles and regulatory compliance reform are anticipated to “self-correct” in accordance to scientific advancement and healthcare demand. These peripheral, non-scientific concerns are not addressed at length in this manuscript; however they do exist, and their impact to the paradigm shifting healthcare transformation towards individualized medicine will be critical for its success. PMID:20045055

  16. Steel Energy and Environmental Profile

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2000-08-01

    Major steelmaking processes (from ironmaking through fabrication and forming) and their associated energy requirements have been profiled in this 2001 report (PDF 582 KB). This profile by Energetics, Inc. also describes the waste streams generated by each process and estimates annual emissions of CO2 and criteria pollutants.

  17. TES/Aura L2 Summary Profiles V004

    Data.gov (United States)

    National Aeronautics and Space Administration — Atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori...

  18. TES/Aura L2 Summary Profiles V007

    Data.gov (United States)

    National Aeronautics and Space Administration — Atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori...

  19. TES/Aura L2 Summary Profiles V003

    Data.gov (United States)

    National Aeronautics and Space Administration — Atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori...

  20. TES/Aura L2 Summary Profiles V005

    Data.gov (United States)

    National Aeronautics and Space Administration — Atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori...

  1. TES/Aura L2 Summary Profiles V006

    Data.gov (United States)

    National Aeronautics and Space Administration — Atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori...

  2. Estimating Gender Wage Gaps

    Science.gov (United States)

    McDonald, Judith A.; Thornton, Robert J.

    2011-01-01

    Course research projects that use easy-to-access real-world data and that generate findings with which undergraduate students can readily identify are hard to find. The authors describe a project that requires students to estimate the current female-male earnings gap for new college graduates. The project also enables students to see to what…

  3. Multiplatform observations enabling albedo retrievals with high temporal resolution

    Science.gov (United States)

    Riihelä, Aku; Manninen, Terhikki; Key, Jeffrey; Sun, Qingsong; Sütterlin, Melanie; Lattanzio, Alessio; Schaaf, Crystal

    2017-04-01

    In this paper we show that combining observations from different polar orbiting satellite families (such as AVHRR and MODIS) is physically justifiable and technically feasible. Our proposed approach will lead to surface albedo retrievals at higher temporal resolution than the state of the art, with comparable or better accuracy. This study is carried out in the World Meteorological Organization (WMO) Sustained and coordinated processing of Environmental Satellite data for Climate Monitoring (SCOPE-CM) project SCM-02 (http://www.scope-cm.org/projects/scm-02/). Following a spectral homogenization of the Top-of-Atmosphere reflectances of bands 1 & 2 from AVHRR and MODIS, both observation datasets are atmospherically corrected with a coherent atmospheric profile and algorithm. The resulting surface reflectances are then fed into an inversion of the RossThick-LiSparse-Reciprocal surface bidirectional reflectance distribution function (BRDF) model. The results of the inversion (BRDF kernels) may then be integrated to estimate various surface albedo quantities. A key principle here is that the larger number of valid surface observations with multiple satellites allows us to invert the BRDF coefficients within a shorter time span, enabling the monitoring of relatively rapid surface phenomena such as snowmelt. The proposed multiplatform approach is expected to bring benefits in particular to the observation of the albedo of the polar regions, where persistent cloudiness and long atmospheric path lengths present challenges to satellite-based retrievals. Following a similar logic, the retrievals over tropical regions with high cloudiness should also benefit from the method. We present results from a demonstrator dataset of a global combined AVHRR-GAC and MODIS dataset covering the year 2010. The retrieved surface albedo is compared against quality-monitored in situ albedo observations from the Baseline Surface Radiation Network (BSRN). Additionally, the combined retrieval

  4. Biophysical Profile

    Science.gov (United States)

    ... and pregnancy High-risk pregnancy Biophysical profile About Advertisement Mayo Clinic does not endorse companies or products. ... a Job Site Map About This Site Twitter Facebook Google YouTube Pinterest Mayo Clinic is a not- ...

  5. Spiking the expectancy profiles

    DEFF Research Database (Denmark)

    Hansen, Niels Chr.; Loui, Psyche; Vuust, Peter

    statistical learning, causing comparatively sharper key profiles in musicians, we hypothesised that musical learning can be modelled as a process of entropy reduction through experience. Specifically, implicit learning of statistical regularities allows reduction in the relative entropy (i.e. symmetrised...... Kullback-Leibler or Jensen-Shannon Divergence) between listeners’ prior expectancy profiles and probability distributions of a musical style or of stimuli used in short-term experiments. Five previous probe-tone experiments with musicians and non-musicians were revisited. In Experiments 1-2 participants...... and relevance of musical training and within-participant decreases after short-term exposure to novel music. Thus, whereas inexperienced listeners make high-entropy predictions, statistical learning over varying timescales enables listeners to generate melodic expectations with reduced entropy...

  6. Profiling cancer

    DEFF Research Database (Denmark)

    Ciro, Marco; Bracken, Adrian P; Helin, Kristian

    2003-01-01

    In the past couple of years, several very exciting studies have demonstrated the enormous power of gene-expression profiling for cancer classification and prediction of patient survival. In addition to promising a more accurate classification of cancer and therefore better treatment of patients......, gene-expression profiling can result in the identification of novel potential targets for cancer therapy and a better understanding of the molecular mechanisms leading to cancer....

  7. The Digital Thread as the Key Enabler

    Science.gov (United States)

    2016-11-01

    life cycle by providing the capability to access, integrate and transform disparate data into actionable information. The digital thread is the...17 Defense AT&L: November-December 2016 The Digital Thread as the Key Enabler Col. Keith Bearden, USAF Bearden is the deputy director of...enabling you to do your job better, faster and cheaper. There is one initiative, the key enabler, to accomplish this goal—the digital thread. But let’s

  8. Semantic Sensor Web Enablement for COAST Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Sensor Web Enablement (SWE) is an Open Geospatial Consortium (OGC) standard Service Oriented Architecture (SOA) that facilitates discovery and integration of...

  9. Enabling Routes as Context in Mobile Services

    DEFF Research Database (Denmark)

    Brilingaite, Agne; Jensen, Christian Søndergaard; Zokaite, Nora

    2004-01-01

    With the continuing advances in wireless communications, geo-positioning, and portable electronics, an infrastructure is emerging that enables the delivery of on-line, location-enabled services to very large numbers of mobile users. A typical usage situation for mobile services is one characterized...

  10. Enabling Routes as Context in Mobile Services

    DEFF Research Database (Denmark)

    Brilingaite, Agne; Jensen, Christian Søndergaard; Zokaite, Nora

    With the continuing advances in wireless communications, geo-positioning, and portable electronics, an infrastructure is emerging that enables the delivery of on-line, location-enabled services to very large numbers of mobile users. A typical usage situation for mobile services is one characterized...

  11. Analysis of uncertainties, associated to the calculating hypothesis, in discharge tables for high flows estimating, based on mathematics models for calculating water surface profiles fore steady gradually varied flow; Analisis de las incertidumbres, asociadas a las hipotesis de calculo, en la estimacion de curvas de gasto para crcidas, basada en el empleo de modelo matematico de calculo hidraulico en regimen permanente

    Energy Technology Data Exchange (ETDEWEB)

    Aldana Valverde, A. L.; Gonzalez Rodriguez, J. C.

    1999-08-01

    In this paper are analyzed some of the most important factors which can influence on the results of calculating water surface profiles for steady gradually varied flow. In this case, the objective of this kind of modeling, has been the estimation of discharges tables for high flows of river station gages connected to the hydrologic automatic information system (SAIH) of the Confederacion Hidrografica del Sur de Espana, system named red Hidrosur. (Author) 3 refs

  12. NEUROPSYCHOLOGICAL PROFILE OF CHILDREN IN CONDITIONS OF ORPHANAGE

    Directory of Open Access Journals (Sweden)

    A.V. Pavlikov

    2010-01-01

    Full Text Available In conditions of orphanage, neuropsychological development is estimated of children aged from 3 months old up to 3 years 4 months old, without central nervous system damage and without major development defects, examined, correspondingly, in 2001 (n = 87 and in 2007 (n = 59. The estimation was performed with the use of two computer methods. The analysis of neuropsychological development estimation results by ?Profile of development? program and ?GNOM? program gave comparable results: neuropsychological development pathology group accounted for 85% and 86% correspondingly, moreover, violations are notified in all spheres of neuropsychological development without gender or age differences. However, ?Profile of development? program provides deviations in specific activity of a child in the form of a diagram, thus enabling to monitor all spheres of neuropsychological development in detail. This gives a pediatrician an opportunity to coordinate medical, psychological and pedagogic activities aimed at rehabilitation of children in conditions of deprivation.Key words: children, neuropsychological development, computer program, deprivation.(Voprosy sovremennoi pediatrii — Current Pediatrics. – 2010;9(3:26-28

  13. Fellow Profile

    Indian Academy of Sciences (India)

    Fellow Profile. Elected: 1971 Section: Chemistry. Narasimhan, Prof. Palliakaranai Thirumalai Ph.D. (Madras), FNA, FNASc. Date of birth: 28 July 1928. Date of death: 3 May 2013. Specialization: Theoretical Chemistry and Magnetic Resonance Last known address: 1013, Lupine Drive, Sunnyvale, CA 94086, USA. YouTube ...

  14. Sparsity enabled cluster reduced-order models for control

    Science.gov (United States)

    Kaiser, Eurika; Morzyński, Marek; Daviller, Guillaume; Kutz, J. Nathan; Brunton, Bingni W.; Brunton, Steven L.

    2018-01-01

    Characterizing and controlling nonlinear, multi-scale phenomena are central goals in science and engineering. Cluster-based reduced-order modeling (CROM) was introduced to exploit the underlying low-dimensional dynamics of complex systems. CROM builds a data-driven discretization of the Perron-Frobenius operator, resulting in a probabilistic model for ensembles of trajectories. A key advantage of CROM is that it embeds nonlinear dynamics in a linear framework, which enables the application of standard linear techniques to the nonlinear system. CROM is typically computed on high-dimensional data; however, access to and computations on this full-state data limit the online implementation of CROM for prediction and control. Here, we address this key challenge by identifying a small subset of critical measurements to learn an efficient CROM, referred to as sparsity-enabled CROM. In particular, we leverage compressive measurements to faithfully embed the cluster geometry and preserve the probabilistic dynamics. Further, we show how to identify fewer optimized sensor locations tailored to a specific problem that outperform random measurements. Both of these sparsity-enabled sensing strategies significantly reduce the burden of data acquisition and processing for low-latency in-time estimation and control. We illustrate this unsupervised learning approach on three different high-dimensional nonlinear dynamical systems from fluids with increasing complexity, with one application in flow control. Sparsity-enabled CROM is a critical facilitator for real-time implementation on high-dimensional systems where full-state information may be inaccessible.

  15. Parameter Estimation

    DEFF Research Database (Denmark)

    Sales-Cruz, Mauricio; Heitzig, Martina; Cameron, Ian

    2011-01-01

    In this chapter the importance of parameter estimation in model development is illustrated through various applications related to reaction systems. In particular, rate constants in a reaction system are obtained through parameter estimation methods. These approaches often require the application...... of optimisation techniques coupled with dynamic solution of the underlying model. Linear and nonlinear approaches to parameter estimation are investigated. There is also the application of maximum likelihood principles in the estimation of parameters, as well as the use of orthogonal collocation to generate a set...... of algebraic equations as the basis for parameter estimation.These approaches are illustrated using estimations of kinetic constants from reaction system models....

  16. Enabling Technology for Small Satellite Launch Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Access to space for Small Satellites is enabled by the use of excess launch capacity on existing launch vehicles. A range of sizes, form factors and masses need to...

  17. Enabling Technology for Small Satellite Launch Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Access to space for Small Satellites is enabled by the use of excess launch capacity on existing launch vehicles. A range of sizes, form factors and masses of small...

  18. Integrated Photonics Enabled by Slow Light

    DEFF Research Database (Denmark)

    Mørk, Jesper; Chen, Yuntian; Ek, Sara

    2012-01-01

    In this talk we will discuss the physics of slow light in semiconductor materials and in particular the possibilities offered for integrated photonics. This includes ultra-compact slow light enabled optical amplifiers, lasers and pulse sources....

  19. Utility Energy Services Contracts: Enabling Documents

    Energy Technology Data Exchange (ETDEWEB)

    None

    2009-05-01

    Utility Energy Services Contracts: Enabling Documents provides materials that clarify the authority for Federal agencies to enter into utility energy services contracts (UESCs), as well as sample documents and resources to ease utility partnership contracting.

  20. Web Enabled DROLS Verity TopicSets

    National Research Council Canada - National Science Library

    Tong, Richard

    1999-01-01

    The focus of this effort has been the design and development of automatically generated TopicSets and HTML pages that provide the basis of the required search and browsing capability for DTIC's Web Enabled DROLS System...

  1. Optical Coherent Receiver Enables THz Wireless Bridge

    DEFF Research Database (Denmark)

    Yu, Xianbin; Liu, Kexin; Zhang, Hangkai

    2016-01-01

    We experimentally demonstrated a 45 Gbit/s 400 GHz photonic wireless communication system enabled by an optical coherent receiver, which has a high potential in fast recovery of high data rate connections, for example, in disaster....

  2. Utility Energy Services Contracts: Enabling Documents

    Energy Technology Data Exchange (ETDEWEB)

    Thomas, Karen; Vasquez, Deb

    2017-01-01

    The Federal Energy Management Program's 'Utility Energy Service Contracts: Enabling Documents' provide legislative information and materials that clarify the authority for federal agencies to enter into utility energy service contracts, or UESCs.

  3. Paradoxical Leadership to Enable Strategic Agility

    OpenAIRE

    Lewis, M. W.; Andriopoulos, C.; Smith, W. K.

    2014-01-01

    Strategic agility evokes contradictions, such as stability-flexibility, commitment-change, and established routines-novel approaches. These competing demands pose challenges that require paradoxical leadership—practices seeking creative, both/and solutions that can enable fast-paced, adaptable decision making. Why is managing paradox critical to strategic agility? And which practices enable leaders to effectively manage tensions? This article describes the paradoxical nature of strategic agil...

  4. ISS - Enabling Exploration Through Docking Standards

    Science.gov (United States)

    Hatfield, Caris A.

    2011-01-01

    NASA and the ISS partnership are jointly developing a key standard to enable future collaborative exploration. The IDSS is based on flight proven design while incorporating new low impact technology. Low impact technology accommodates a wide range of vehicle contact and capture conditions. This standard will get early demonstration on the ISS. Experience gained here will enable operational experience and the opportunity to refine the standard.

  5. Dynamics-Enabled Nanoelectromechanical Systems (NEMS) Oscillators

    Science.gov (United States)

    2014-06-01

    AFRL-RY-WP-TR-2014-0144 DYNAMICS-ENABLED NANOELECTROMECHANICAL SYSTEMS ( NEMS ) OSCILLATORS Michael Roukes California Institute...SYSTEMS ( NEMS ) OSCILLATORS 5a. CONTRACT NUMBER FA8650-10-1-7029 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 61101E 6. AUTHOR(S) Michael Roukes...engineer, and demonstrate nonlinear-dynamics-enabled nanoelectromechanical system ( NEMS ) frequency-source technology. 15. SUBJECT TERMS

  6. Enabling Sustainable NESHAP Compliance for Army Installations

    Science.gov (United States)

    2009-05-07

    including the Chemical Agent Resistant Coating (CARC) system  Solvents, thinners and cleaners  Depainting materials (a.k.a., paint strippers ...or work practice standards UNCLASSIFIED UNCLASSIFIED Enabling DLSME NESHAP Compliance: Methylene Chloride (MeCl) Depainting (1) What we are doing...50% growth cap for large vats; usage cap outside of vats UNCLASSIFIED UNCLASSIFIED Enabling DLSME NESHAP Compliance: Methylene Chloride (MeCl

  7. Somatic symptom profiles in the general population

    DEFF Research Database (Denmark)

    Eliasen, Marie; Jørgensen, Torben; Schröder, Andreas

    2017-01-01

    PURPOSE: The aim of this study was to identify and describe somatic symptom profiles in the general adult population in order to enable further epidemiological research within multiple somatic symptoms. METHODS: Information on 19 self-reported common somatic symptoms was achieved from a population....... The profiles were further described by their association with age, sex, chronic disease, and self-perceived health. RESULTS: We identified 10 different somatic symptom profiles defined by number, type, and site of the symptoms. The majority of the population (74.0%) had a profile characterized...... population-based studies with specific focus on symptom burden....

  8. Market projections of cellulose nanomaterial-enabled products- Part 1: Applications

    Science.gov (United States)

    Jo Anne Shatkin; Theodore H. Wegner; E.M. (Ted) Bilek; John Cowie

    2014-01-01

    Nanocellulose provides a new materials platform for the sustainable production of high-performance nano-enabled products in an array of applications. In this paper, potential applications for cellulose nanomaterials are identified as the first step toward estimating market volume. The overall study, presented in two parts, estimates market volume on the basis of...

  9. Web-enabled medical databases: a threat to security?

    Science.gov (United States)

    Herrin, J; Dempsey, B J

    2000-12-01

    An increasing number of clinical databases are being adapted to allow access through Internet protocols, particularly Hypertext Transfer Protocol (HTTP). The World Wide Web (WWW) provides a user-friendly, standardized, broadly distributed database interface; at the same time, it may also present a threat to the security and confidentiality of patient data. However, there is little empirical evidence concerning such threats. Using publicly available records we estimate the additional risk of security violations due to web-enabling a database. The evidence, though limited, suggests that the additional risk may be small relative to more traditional security threats.

  10. Nanomaterial-Enabled Wearable Sensors for Healthcare.

    Science.gov (United States)

    Yao, Shanshan; Swetha, Puchakayala; Zhu, Yong

    2018-01-01

    Highly sensitive wearable sensors that can be conformably attached to human skin or integrated with textiles to monitor the physiological parameters of human body or the surrounding environment have garnered tremendous interest. Owing to the large surface area and outstanding material properties, nanomaterials are promising building blocks for wearable sensors. Recent advances in the nanomaterial-enabled wearable sensors including temperature, electrophysiological, strain, tactile, electrochemical, and environmental sensors are presented in this review. Integration of multiple sensors for multimodal sensing and integration with other components into wearable systems are summarized. Representative applications of nanomaterial-enabled wearable sensors for healthcare, including continuous health monitoring, daily and sports activity tracking, and multifunctional electronic skin are highlighted. Finally, challenges, opportunities, and future perspectives in the field of nanomaterial-enabled wearable sensors are discussed. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  11. Enabling the Discovery of Gravitational Radiation

    Science.gov (United States)

    Isaacson, Richard

    2017-01-01

    The discovery of gravitational radiation was announced with the publication of the results of a physics experiment involving over a thousand participants. This was preceded by a century of theoretical work, involving a similarly large group of physicists, mathematicians, and computer scientists. This huge effort was enabled by a substantial commitment of resources, both public and private, to develop the different strands of this complex research enterprise, and to build a community of scientists to carry it out. In the excitement following the discovery, the role of key enablers of this success has not always been adequately recognized in popular accounts. In this talk, I will try to call attention to a few of the key ingredients that proved crucial to enabling the successful discovery of gravitational waves, and the opening of a new field of science.

  12. MPI Profiling

    Energy Technology Data Exchange (ETDEWEB)

    Han, D K; Jones, T R

    2005-02-11

    The Message Passing Interface (MPI) is the de facto message-passing standard for massively parallel programs. It is often the case that application performance is a crucial factor, especially for solving grand challenge problems. While there have been many studies on the scalability of applications, there have not been many focusing on the specific types of MPI calls being made and their impact on application performance. Using a profiling tool called mpiP, a large spectrum of parallel scientific applications were surveyed and their performance results analyzed.

  13. Origami-enabled deformable silicon solar cells

    Energy Technology Data Exchange (ETDEWEB)

    Tang, Rui; Huang, Hai; Liang, Hanshuang; Liang, Mengbing [School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287 (United States); Tu, Hongen; Xu, Yong [Electrical and Computer Engineering, Wayne State University, 5050 Anthony Wayne Dr., Detroit, Michigan 48202 (United States); Song, Zeming; Jiang, Hanqing, E-mail: hanqing.jiang@asu.edu [School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, Arizona 85287 (United States); Yu, Hongyu, E-mail: hongyu.yu@asu.edu [School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287 (United States); School of Earth and Space Exploration, Arizona State University, Tempe, Arizona 85287 (United States)

    2014-02-24

    Deformable electronics have found various applications and elastomeric materials have been widely used to reach flexibility and stretchability. In this Letter, we report an alternative approach to enable deformability through origami. In this approach, the deformability is achieved through folding and unfolding at the creases while the functional devices do not experience strain. We have demonstrated an example of origami-enabled silicon solar cells and showed that this solar cell can reach up to 644% areal compactness while maintaining reasonable good performance upon cyclic folding/unfolding. This approach opens an alternative direction of producing flexible, stretchable, and deformable electronics.

  14. Fusion-Enabled Pluto Orbiter and Lander

    Science.gov (United States)

    Thomas, Stephanie

    2017-01-01

    The Pluto orbiter mission proposed here is credible and exciting. The benefits to this and all outer-planet and interstellar-probe missions are difficult to overstate. The enabling technology, Direct Fusion Drive, is a unique fusion engine concept based on the Princeton Field-Reversed Configuration (PFRC) fusion reactor under development at the Princeton Plasma Physics Laboratory. The truly game-changing levels of thrust and power in a modestly sized package could integrate with our current launch infrastructure while radically expanding the science capability of these missions. During this Phase I effort, we made great strides in modeling the engine efficiency, thrust, and specific impulse and analyzing feasible trajectories. Based on 2D fluid modeling of the fusion reactors outer stratum, its scrape-off-layer (SOL), we estimate achieving 2.5 to 5 N of thrust for each megawatt of fusion power, reaching a specific impulse, Isp, of about 10,000 s. Supporting this model are particle-in-cell calculations of energy transfer from the fusion products to the SOL electrons. Subsequently, this energy is transferred to the ions as they expand through the magnetic nozzle and beyond. Our point solution for the Pluto mission now delivers 1000 kg of payload to Pluto orbit in 3.75 years using 7.5 N constant thrust. This could potentially be achieved with a single 1 MW engine. The departure spiral from Earth orbit and insertion spiral to Pluto orbit require only a small portion of the total delta-V. Departing from low Earth orbit reduces mission cost while increasing available mission mass. The payload includes a lander, which utilizes a standard green propellant engine for the landing sequence. The lander has about 4 square meters of solar panels mounted on a gimbal that allows it to track the orbiter, which beams 30 to 50 kW of power using a 1080 nm laser. Optical communication provides dramatically high data rates back to Earth. Our mass modeling investigations revealed that if

  15. SAIC - PROFILES

    International Development Research Centre (IDRC) Digital Library (Canada)

    The challenge. Brazil and Mozambique are experiencing growing rates of urbanization. In 2010, 87% of Brazil's population was living in urban centres; it is estimated that number will rise to 94% by. 2050. In Mozambique, 38% of the population is urban and it is predicted that this will reach 50% by 2025. In Rio de Janeiro.

  16. Enabling genomic-phenomic association discovery without sacrificing anonymity.

    Directory of Open Access Journals (Sweden)

    Raymond D Heatherly

    Full Text Available Health information technologies facilitate the collection of massive quantities of patient-level data. A growing body of research demonstrates that such information can support novel, large-scale biomedical investigations at a fraction of the cost of traditional prospective studies. While healthcare organizations are being encouraged to share these data in a de-identified form, there is hesitation over concerns that it will allow corresponding patients to be re-identified. Currently proposed technologies to anonymize clinical data may make unrealistic assumptions with respect to the capabilities of a recipient to ascertain a patients identity. We show that more pragmatic assumptions enable the design of anonymization algorithms that permit the dissemination of detailed clinical profiles with provable guarantees of protection. We demonstrate this strategy with a dataset of over one million medical records and show that 192 genotype-phenotype associations can be discovered with fidelity equivalent to non-anonymized clinical data.

  17. Enabling Genomic-Phenomic Association Discovery without Sacrificing Anonymity

    Science.gov (United States)

    Heatherly, Raymond D.; Loukides, Grigorios; Denny, Joshua C.; Haines, Jonathan L.; Roden, Dan M.; Malin, Bradley A.

    2013-01-01

    Health information technologies facilitate the collection of massive quantities of patient-level data. A growing body of research demonstrates that such information can support novel, large-scale biomedical investigations at a fraction of the cost of traditional prospective studies. While healthcare organizations are being encouraged to share these data in a de-identified form, there is hesitation over concerns that it will allow corresponding patients to be re-identified. Currently proposed technologies to anonymize clinical data may make unrealistic assumptions with respect to the capabilities of a recipient to ascertain a patients identity. We show that more pragmatic assumptions enable the design of anonymization algorithms that permit the dissemination of detailed clinical profiles with provable guarantees of protection. We demonstrate this strategy with a dataset of over one million medical records and show that 192 genotype-phenotype associations can be discovered with fidelity equivalent to non-anonymized clinical data. PMID:23405076

  18. Soil Profiles and Seismic Loading

    Directory of Open Access Journals (Sweden)

    Janotka, V.

    2006-01-01

    Full Text Available The contribution estimates different geotechnical profiles of site condition change and their influences on the computed seismic response spectra and time histories final values and forms applying on the seismic structures loading. The mentioned problems methodics attitude solution is based on the computed seismic motion parameters.

  19. Lebanon: country profile.

    Science.gov (United States)

    Marfleet, P

    1988-05-01

    A brief profile of Lebanon's economy, people, health, culture and political situation is presented. Lebanon has an estimated 3.5 million people, with a Maronite Christian elite, a Muslim Shiite majority, and Muslim Sunnis and Druze groups. The infant mortality is estimated at 41/1000; literacy is 69% among women and 86% among men; life expectancy was 66 years, 10 years ago. The economy, previously thriving on banking, manufacturing and agriculture, is now decimated, and Lebanon's once active tourist industry, based on elegant facilities in Beirut and neighboring beaches and ski slopes, is the victim of 15 years of civil strife. Israel has invaded, supporting Maronite Christians, Syria has invaded in support Muslim and Druze militias, and Iran has aggressively supported Shiite factions.

  20. Beam shaping as an enabler for new applications

    Science.gov (United States)

    Guertler, Yvonne; Kahmann, Max; Havrilla, David

    2017-02-01

    For many years, laser beam shaping has enabled users to achieve optimized process results as well as manage challenging applications. The latest advancements in industrial lasers and processing optics have taken this a step further as users are able to adapt the beam shape to meet specific application requirements in a very flexible way. TRUMPF has developed a wide range of experience in creating beam profiles at the work piece for optimized material processing. This technology is based on the physical model of wave optics and can be used with ultra short pulse lasers as well as multi-kW cw lasers. Basically, the beam shape can be adapted in all three dimensions in space, which allows maximum flexibility. Besides adaption of intensity profile, even multi-spot geometries can be produced. This approach is very cost efficient, because a standard laser source and (in the case of cw lasers) a standard fiber can be used without any special modifications. Based on this innovative beam shaping technology, TRUMPF has developed new and optimized processes. Two of the most recent application developments using these techniques are cutting glass and synthetic sapphire with ultra-short pulse lasers and enhanced brazing of hot dip zinc coated steel for automotive applications. Both developments lead to more efficient and flexible production processes, enabled by laser technology and open the door to new opportunities. They also indicate the potential of beam shaping techniques since they can be applied to both single-mode laser sources (TOP Cleave) and multi-mode laser sources (brazing).

  1. Enabling DRM-preserving Digital content Redistribution

    NARCIS (Netherlands)

    Krishnan Nair, S.; Popescu, B.C.; Gamage, C.D.; Crispo, B.; Tanenbaum, A.S.

    2005-01-01

    Traditionally, the process of online digital content distribution has involved a limited number of centralised distributors selling protected contents and licenses authorising the use of the se contents, to consumers. In this paper, we extend this model by introducing a security scheme that enables

  2. ICT-Enabled Learning: The Student Perspective

    Science.gov (United States)

    Scott, Geoff; Grebennikov, Leonid; Gozzard, Terry

    2009-01-01

    This research seeks to contribute to current discussions in Australian higher education on how best to deploy ICT-enabled learning. Its particular focus is on examining the qualitative data from students on their experience of using Information and Communication Technologies (ICT) at one college in an Australian university. In total, about 71,240…

  3. Creating an Economically Enabling and Competitive Business ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Creating an Economically Enabling and Competitive Business Environment in the West Bank and Gaza Strip. The prospect of indefinite Israeli occupation of the ... Impact of implementing the Palestinian banking law on the performance of the private sector [Arabic language]. Documents. Impact of the commercial agents law ...

  4. Interaction between COCHLEATA and UNIFOLIATA genes enables ...

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Genetics; Volume 90; Issue 2. Interaction between COCHLEATA and UNIFOLIATA genes enables normal flower morphogenesis in the garden pea, Pisum sativum. Sushil Kumar Vishakha Sharma Swati Chaudhary Renu Kumari Nisha Kumari Poonam Mishra. Research Note Volume 90 Issue 2 ...

  5. Extreme Networks' 10-Gigabit Ethernet enables

    CERN Multimedia

    2002-01-01

    " Extreme Networks, Inc.'s 10-Gigabit switching platform enabled researchers to transfer one Terabyte of information from Vancouver to Geneva across a single network hop, the world's first large-scale, end-to-end transfer of its kind" (1/2 page).

  6. Creating an Economically Enabling and Competitive Business ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Creating an Economically Enabling and Competitive Business Environment in the West Bank and Gaza Strip. The prospect of indefinite Israeli occupation of the Palestinian territories, and their extreme ... Country(s). Middle East, North of Sahara, South of Sahara, Central Asia, Far East Asia, South Asia, Palestine ...

  7. 75 FR 13235 - IP-Enabled Services

    Science.gov (United States)

    2010-03-19

    ... From the Federal Register Online via the Government Publishing Office FEDERAL COMMUNICATIONS COMMISSION 47 CFR Part 63 IP-Enabled Services AGENCY: Federal Communications Commission ACTION: Final rule... interconnected Voice over Internet Protocol (VoIP) service the discontinuance obligations that apply to domestic...

  8. Caring at home until death: enabled determination.

    Science.gov (United States)

    Robinson, Carole A; Bottorff, Joan L; McFee, Erin; Bissell, Laura J; Fyles, Gillian

    2017-04-01

    The importance of family caregivers in providing palliative care at home and in supporting a home death is well supported. Gaining a better understanding of what enables palliative family caregivers to continue caring at home for their family members until death is critical to providing direction for more effective support. The purpose of the study was to describe the experiences of bereaved family caregivers whose terminally ill family members with advanced cancer were successful in achieving a desired home death. A qualitative interpretive descriptive approach was used. Data were collected using semi-structured, audio-recorded interviews conducted in-person or via telephone in addition to field notes and reflective journaling. The study took place in British Columbia, Canada, and included 29 bereaved adult family caregivers who had provided care for a family member with advanced cancer and experienced a home death. Four themes captured the experience of caring at home until death: context of providing care, supportive antecedents to providing care, determination to provide care at home, and enabled determination. Factors that enabled determination to achieve a home death included initiation of formal palliative care, asking for and receiving help, augmented care, relief or respite, and making the healthcare system work for the ill person. Clarifying caregiving goals and supporting the factors that enable caregiver determination appear to be critical in enhancing the likelihood of a desired home death.

  9. School Bureaucracies That Work: Enabling, Not Coercive.

    Science.gov (United States)

    Hoy, Wayne K.; Sweetland, Scott R.

    2000-01-01

    Attempts to reconcile two theoretically opposing perspectives of bureaucracy (as either alienating or facilitative) by creating and testing a new construct called "enabling bureaucracy." Empirical results are encouraging. Schools can be designed with formalized procedures and hierarchical structures that help rather than hinder teaching and…

  10. Enablers & Barriers for Realizing Modularity Benefits

    DEFF Research Database (Denmark)

    Storbjerg, Simon Haahr; Brunø, Thomas Ditlev; Thyssen, Jesper

    2012-01-01

    are the organizational and systems related aspects. Recognizing the need for guidance to realize the benefits of modularity, the purpose of this study is through a literature study and a case study to improve the insight into the organizational and systems related enablers and barriers with regard to obtaining the full...

  11. Enabling Efficient Intelligence Analysis in Degraded Environments

    Science.gov (United States)

    2013-06-01

    When facing decisions in underdeveloped, degraded, and denied environments, commanders are likely to rely even more heavily on efficient intelligence ... analysis . Unfortunately, most of the time, the data gathered in these environments will be uncertain, ambiguous, and incomplete. Tools enabling fast

  12. Data-Enabled Design for Social Change: Two Case Studies

    Directory of Open Access Journals (Sweden)

    Patrizia Marti

    2016-09-01

    Full Text Available Smartness in contemporary society implies the use of massive data to improve the experience of people with connected services and products. The use of big data to collect information about people’s behaviours opens a new concept of “user-centred design” where users are remotely monitored, observed and profiled. In this paradigm, users are considered as sources of information and their participation in the design process is limited to a role of data generators. There is a need to identify methodologies that actively involve people and communities at the core of ecosystems of interconnected products and services. Our contribution to designing for social innovation in ecosystems relies on developing new methods and approaches to transform data-driven design using a participatory and co-creative data-enabled design approach. To this end, we present one of the methods we have developed to design “smart” systems called Experiential Design Landscapes (EDL, and two sample projects, Social Stairs and [Y]our Perspective. Social Stairs faces the topic of behaviour change mediated by sensing technologies. [Y]our Perspective is a social platform to sustain processes of deliberative democracy. Both projects exemplify our approach to data-enabled design as a social proactive participatory design approach.

  13. Plant Signaling and Metabolic Pathways Enabling Arbuscular Mycorrhizal Symbiosis.

    Science.gov (United States)

    MacLean, Allyson M; Bravo, Armando; Harrison, Maria J

    2017-10-01

    Plants have lived in close association with arbuscular mycorrhizal (AM) fungi for over 400 million years. Today, this endosymbiosis occurs broadly in the plant kingdom where it has a pronounced impact on plant mineral nutrition. The symbiosis develops deep within the root cortex with minimal alterations in the external appearance of the colonized root; however, the absence of macroscopic alterations belies the extensive signaling, cellular remodeling, and metabolic alterations that occur to enable accommodation of the fungal endosymbiont. Recent research has revealed the involvement of a novel N-acetyl glucosamine transporter and an alpha/beta-fold hydrolase receptor at the earliest stages of AM symbiosis. Calcium channels required for symbiosis signaling have been identified, and connections between the symbiosis signaling pathway and key transcriptional regulators that direct AM-specific gene expression have been established. Phylogenomics has revealed the existence of genes conserved for AM symbiosis, providing clues as to how plant cells fine-tune their biology to enable symbiosis, and an exciting coalescence of genome mining, lipid profiling, and tracer studies collectively has led to the conclusion that AM fungi are fatty acid auxotrophs and that plants provide their fungal endosymbionts with fatty acids. Here, we provide an overview of the molecular program for AM symbiosis and discuss these recent advances. © 2017 American Society of Plant Biologists. All rights reserved.

  14. A generalizability study of the instrumental activities of daily living profile.

    Science.gov (United States)

    Bottari, Carolina; Dassa, Clément; Rainville, Constant; Dutil, Elisabeth

    2010-05-01

    To establish generalizability estimates of the Instrumental Activities of Daily Living (IADL) Profile when administered to persons with a moderate or severe traumatic brain injury (TBI) within their home and community environment. Generalizability theory was used to estimate generalizability and dependability coefficients as well as the relative contribution of identified sources of measurement error to total measurement error. Decision studies were used to enable the investigators to determine the optimal measurement design. The IADL Profile was administered in subjects' homes and community environments. Convenience sample of adults with a moderate or severe TBI (N=30, aged 16-65y). Not applicable. IADL Profile scores include 6 factor scores (going to the grocery store/shopping for groceries, having a meal with guests/cleaning up, putting on outdoor clothing, obtaining information, making a budget, and preparing a hot meal) and 1 total score. The greatest sources of measurement error were the subject-item interactions (3-random-facet design) and the subject-rater interactions (2-random-facet design). One hundred percent of generalizability coefficients of factor scores indicated acceptable to excellent reliability. Indices of dependability confirmed that 1 evaluator could reliably score the tool on a single occasion after having received a 3-day training workshop. The IADL Profile administered to persons with a moderate or severe TBI provides occupational therapists with a reliable set of measures of IADL independence capable of both capturing and analyzing the complex interactions between personal and environmental factors.

  15. TES/Aura L2 Summary Profiles Special Observation V003

    Data.gov (United States)

    National Aeronautics and Space Administration — Atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori...

  16. TES/Aura L2 Summary Profiles Special Observation V005

    Data.gov (United States)

    National Aeronautics and Space Administration — Atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori...

  17. TES/Aura L2 Summary Profiles Special Observation V007

    Data.gov (United States)

    National Aeronautics and Space Administration — Atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori...

  18. TES/Aura L2 Summary Profiles Special Observation V006

    Data.gov (United States)

    National Aeronautics and Space Administration — Atmospheric vertical profile estimates, along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, and a priori...

  19. Ecological Risk Assessment of Nano-enabled Pesticides: A Perspective on Problem Formulation.

    Science.gov (United States)

    Walker, Glen W; Kookana, Rai S; Smith, Natalie E; Kah, Melanie; Doolette, Casey L; Reeves, Philip T; Lovell, Wess; Anderson, Darren J; Turney, Terence W; Navarro, Divina A

    2017-08-31

    Plant protection products containing nanomaterials that alter the functionality or risk profile of active ingredients (nano-enabled pesticides) promise many benefits over conventional pesticide products. These benefits may include improved formulation characteristics, easier application, better targeting of pest species, increased efficacy, lower application rates, and enhanced environmental safety. After many years of research and development, nano-enabled pesticides are starting to make their way into the market. The introduction of this technology raises a number of issues for regulators, including how does the ecological risk assessment of nano-enabled pesticide products differ from that of conventional plant protection products? In this paper, a group drawn from regulatory agencies, academia, research, and the agrochemicals industry offers a perspective on relevant considerations pertaining to the problem formulation phase of the ecological risk assessment of nano-enabled pesticides.

  20. Principles for Enabling Deep Secondary Design

    DEFF Research Database (Denmark)

    Hansen, Magnus Rotvit Perlt; Pries-Heje, Jan

    and techniques in a hospital. Our analysis of the two cases leads to the identification of four principles of design implementation that primary designers can apply to enable secondary design and four corresponding design implementation principles that secondary designers themselves need to apply.......User-based redesign after implementation has been studied in many contexts gone by many different names, such as appropriation of technology, malleable design and secondary design. The phenomenon of redesigning content has mainly revolved around technologies such as Facebook, Twitter, or Wikipedia...... or portal-based technology with configuration abilities, with very little focus on technologies where users can change both functionality, content and the level of technology complexity. We coin this type of secondary design deep secondary design. In this paper, we investigate how to enable deep secondary...

  1. Femtosecond laser enabled keratoplasty for advanced keratoconus

    Directory of Open Access Journals (Sweden)

    Yathish Shivanna

    2013-01-01

    Full Text Available Purpose : To assess the efficacy and advantages of femtosecond laser enabled keratoplasty (FLEK over conventional penetrating keratoplasty (PKP in advanced keratoconus. Materials and Methods: Detailed review of literature of published randomized controlled trials of operative techniques in PKP and FLEK. Results: Fifteen studies were identified, analyzed, and compared with our outcome. FLEK was found to have better outcome in view of better and earlier stabilization uncorrected visual acuity (UCVA, best corrected visual acuity (BCVA, and better refractive outcomes with low astigmatism as compared with conventional PKP. Wound healing also was noticed to be earlier, enabling early suture removal in FLEK. Conclusions: Studies relating to FLEK have shown better results than conventional PKP, however further studies are needed to assess the safety and intraoperative complications of the procedure.

  2. Femtosecond laser enabled keratoplasty for advanced keratoconus.

    Science.gov (United States)

    Shivanna, Yathish; Nagaraja, Harsha; Kugar, Thungappa; Shetty, Rohit

    2013-08-01

    To assess the efficacy and advantages of femtosecond laser enabled keratoplasty (FLEK) over conventional penetrating keratoplasty (PKP) in advanced keratoconus. Detailed review of literature of published randomized controlled trials of operative techniques in PKP and FLEK. Fifteen studies were identified, analyzed, and compared with our outcome. FLEK was found to have better outcome in view of better and earlier stabilization uncorrected visual acuity (UCVA), best corrected visual acuity (BCVA), and better refractive outcomes with low astigmatism as compared with conventional PKP. Wound healing also was noticed to be earlier, enabling early suture removal in FLEK. Studies relating to FLEK have shown better results than conventional PKP, however further studies are needed to assess the safety and intraoperative complications of the procedure.

  3. Enabling Automatic Certification of Online Auctions

    Directory of Open Access Journals (Sweden)

    Wei Bai

    2014-04-01

    Full Text Available We consider the problem of building up trust in a network of online auctions by software agents. This requires agents to have a deeper understanding of auction mechanisms and be able to verify desirable properties of a given mechanism. We have shown how these mechanisms can be formalised as semantic web services in OWL-S, a good enough expressive machine-readable formalism enabling software agents, to discover, invoke, and execute a web service. We have also used abstract interpretation to translate the auction's specifications from OWL-S, based on description logic, to COQ, based on typed lambda calculus, in order to enable automatic verification of desirable properties of the auction by the software agents. For this language translation, we have discussed the syntactic transformation as well as the semantics connections between both concrete and abstract domains. This work contributes to the implementation of the vision of agent-mediated e-commerce systems.

  4. Enabling Sustainable Improvement in IT Entrepreneurship

    Directory of Open Access Journals (Sweden)

    Paul E. Renaud

    2013-06-01

    Full Text Available Firms must embrace processes that enable the information technology (IT function to become a strategic partner to the business functions it serves. Process ambidexterity is a way for processes to be augmented to improve alignment and adaptability to new markets and technologies. By applying the principles of process ambidexterity, the key elements required for sustainable change within the capabilities that comprise the IT function of the firm are identified. Furthermore, the scope and depth of the dysfunction that is widespread across large firms that depend upon IT are outlined to provide a contextual basis for presenting a solution framework to address sustainable change. This framework for sustainable change is of primary benefit to IT executives seeking to systematically transform the IT function and enable IT entrepreneurship.

  5. Enabling international adoption of LOINC through translation

    Science.gov (United States)

    Vreeman, Daniel J.; Chiaravalloti, Maria Teresa; Hook, John; McDonald, Clement J.

    2012-01-01

    Interoperable health information exchange depends on adoption of terminology standards, but international use of such standards can be challenging because of language differences between local concept names and the standard terminology. To address this important barrier, we describe the evolution of an efficient process for constructing translations of LOINC terms names, the foreign language functions in RELMA, and the current state of translations in LOINC. We also present the development of the Italian translation to illustrate how translation is enabling adoption in international contexts. We built a tool that finds the unique list of LOINC Parts that make up a given set of LOINC terms. This list enables translation of smaller pieces like the core component “hepatitis c virus” separately from all the suffixes that could appear with it, such “Ab.IgG”, “DNA”, and “RNA”. We built another tool that generates a translation of a full LOINC name from all of these atomic pieces. As of version 2.36 (June 2011), LOINC terms have been translated into 9 languages from 15 linguistic variants other than its native English. The five largest linguistic variants have all used the Part-based translation mechanism. However, even with efficient tools and processes, translation of standard terminology is a complex undertaking. Two of the prominent linguistic challenges that translators have faced include: the approach to handling acronyms and abbreviations, and the differences in linguistic syntax (e.g. word order) between languages. LOINC’s open and customizable approach has enabled many different groups to create translations that met their needs and matched their resources. Distributing the standard and its many language translations at no cost worldwide accelerates LOINC adoption globally, and is an important enabler of interoperable health information exchange PMID:22285984

  6. GPS Enabled Semi-Autonomous Robot

    Science.gov (United States)

    2017-09-01

    AUTONOMOUS ROBOT by Connor F. Bench September 2017 Thesis Advisor: Xiaoping Yun Second Reader: James Calusdian THIS PAGE INTENTIONALLY...AND SUBTITLE GPS ENABLED SEMI-AUTONOMOUS ROBOT 5. FUNDING NUMBERS 6. AUTHOR(S) Connor F. Bench 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES...objective of this research is to integrate GPS and local sensory data to allow a robot to operate semi-autonomously outside of a laboratory environment

  7. Enabling Persistent Peace After Negotiated Settlements

    Science.gov (United States)

    2016-12-01

    ENABLING PERSISTENT PEACE AFTER NEGOTIATED SETTLEMENTS Evert Andres Mejia Lieutenant Colonel, Colombian Marines B.S., Escuela Naval de Cadetes, 2004...simply as “La Violencia .” On April 9, 1948, in the midst of the struggle between the main Colombian liberal and conservative political parties, the...traditional order.”157 “La Violencia ” period between 1948 and 1958 was one of the bloodiest periods in Colombian history,158 characterized by assassinations

  8. Femtosecond laser enabled keratoplasty for advanced keratoconus

    OpenAIRE

    Yathish Shivanna; Harsha Nagaraja; Thungappa Kugar; Rohit Shetty

    2013-01-01

    Purpose : To assess the efficacy and advantages of femtosecond laser enabled keratoplasty (FLEK) over conventional penetrating keratoplasty (PKP) in advanced keratoconus. Materials and Methods: Detailed review of literature of published randomized controlled trials of operative techniques in PKP and FLEK. Results: Fifteen studies were identified, analyzed, and compared with our outcome. FLEK was found to have better outcome in view of better and earlier stabilization uncorrected visual acuity...

  9. IT Enabled Agility in Organizational Ambidexterity

    OpenAIRE

    Röder, Nina; Schermann, Michael; Krcmar, Helmut

    2015-01-01

    The aim of ambidextrous organizations is to balance exploratory and exploitative learning concepts. They innovate through experiments and research, and capture the value of innovations through refinement and continuous improvement. In this paper, we study the relationship of organizational ambidexterity and IT enabled agility. Based on a case study with a German car manufacturer we find that (1) entrepreneurial agility impedes exploitative concepts, (2) adaptive agility impedes exploratory co...

  10. Smart Sensors Enable Smart Air Conditioning Control

    OpenAIRE

    Cheng, Chin-Chi; Lee, Dasheng

    2014-01-01

    In this study, mobile phones, wearable devices, temperature and human motion detectors are integrated as smart sensors for enabling smart air conditioning control. Smart sensors obtain feedback, especially occupants’ information, from mobile phones and wearable devices placed on human body. The information can be used to adjust air conditioners in advance according to humans’ intentions, in so-called intention causing control. Experimental results show that the indoor temperature can be contr...

  11. Enabling international adoption of LOINC through translation.

    Science.gov (United States)

    Vreeman, Daniel J; Chiaravalloti, Maria Teresa; Hook, John; McDonald, Clement J

    2012-08-01

    Interoperable health information exchange depends on adoption of terminology standards, but international use of such standards can be challenging because of language differences between local concept names and the standard terminology. To address this important barrier, we describe the evolution of an efficient process for constructing translations of LOINC terms names, the foreign language functions in RELMA, and the current state of translations in LOINC. We also present the development of the Italian translation to illustrate how translation is enabling adoption in international contexts. We built a tool that finds the unique list of LOINC Parts that make up a given set of LOINC terms. This list enables translation of smaller pieces like the core component "hepatitis c virus" separately from all the suffixes that could appear with it, such "Ab.IgG", "DNA", and "RNA". We built another tool that generates a translation of a full LOINC name from all of these atomic pieces. As of version 2.36 (June 2011), LOINC terms have been translated into nine languages from 15 linguistic variants other than its native English. The five largest linguistic variants have all used the Part-based translation mechanism. However, even with efficient tools and processes, translation of standard terminology is a complex undertaking. Two of the prominent linguistic challenges that translators have faced include: the approach to handling acronyms and abbreviations, and the differences in linguistic syntax (e.g. word order) between languages. LOINC's open and customizable approach has enabled many different groups to create translations that met their needs and matched their resources. Distributing the standard and its many language translations at no cost worldwide accelerates LOINC adoption globally, and is an important enabler of interoperable health information exchange. Copyright © 2012 Elsevier Inc. All rights reserved.

  12. Conference on Enabling Teachers for Entrepreneurship Education

    OpenAIRE

    Silva, Maria do Carmo Vieira da; Reis, Carlos; Pereira, Cristina; Formosinho, Dores; Ferreira, Eduarda; Hoare, Malcolm; Tadeu, Pedro; Gonçalves, Teresa; Paiva, Teresa; Fernández Cruz, Manuel; Afonso, Maria Margarida; Gijón Puerta, José

    2013-01-01

    The Conference on Enabling Teachers for Entrepreneurship Education (ENTENP2013) in Initial Teacher Education (ITE) will be held at the Guarda Polytechnic Institute (GPI) in Guarda on 7/8 June 2013. We expect delegates from all the Portuguese Higher Education Institutions and the EU Member States, as well as Pre-Accession Countries and countries participating in the Competitiveness and Innovation Framework Programme (CIP). ENTENP 2013 addresses to all practitioners from the area of teacher edu...

  13. State estimation for wave energy converters

    Energy Technology Data Exchange (ETDEWEB)

    Bacelli, Giorgio; Coe, Ryan Geoffrey

    2017-04-01

    This report gives a brief discussion and examples on the topic of state estimation for wave energy converters (WECs). These methods are intended for use to enable real-time closed loop control of WECs.

  14. Traffic volume estimation using network interpolation techniques.

    Science.gov (United States)

    2013-12-01

    Kriging method is a frequently used interpolation methodology in geography, which enables estimations of unknown values at : certain places with the considerations of distances among locations. When it is used in transportation field, network distanc...

  15. Small field depth dose profile of 6 MV photon beam in a simple air-water heterogeneity combination: A comparison between anisotropic analytical algorithm dose estimation with thermoluminescent dosimeter dose measurement

    Directory of Open Access Journals (Sweden)

    Abhijit Mandal

    2017-01-01

    Conclusion: The trend of estimation error of AAA dose calculation algorithm with respect to measured value have been formulated throughout the radiation path length along the central axis of 6 MV photon beam in air-water heterogeneity combination for small field size photon beam generated from a 6 MV linear accelerator.

  16. Metagenomic profiling of known and unknown microbes with microbeGPS.

    Directory of Open Access Journals (Sweden)

    Martin S Lindner

    Full Text Available Microbial community profiling identifies and quantifies organisms in metagenomic sequencing data using either reference based or unsupervised approaches. However, current reference based profiling methods only report the presence and abundance of single reference genomes that are available in databases. Since only a small fraction of environmental genomes is represented in genomic databases, these approaches entail the risk of false identifications and often suggest a higher precision than justified by the data. Therefore, we developed MicrobeGPS, a novel metagenomic profiling approach that overcomes these limitations. MicrobeGPS is the first method that identifies microbiota in the sample and estimates their genomic distances to known reference genomes. With this strategy, MicrobeGPS identifies organisms down to the strain level and highlights possibly inaccurate identifications when the correct reference genome is missing. We demonstrate on three metagenomic datasets with different origin that our approach successfully avoids misleading interpretation of results and additionally provides more accurate results than current profiling methods. Our results indicate that MicrobeGPS can enable reference based taxonomic profiling of complex and less characterized microbial communities. MicrobeGPS is open source and available from https://sourceforge.net/projects/microbegps/ as source code and binary distribution for Windows and Linux operating systems.

  17. Metagenomic profiling of known and unknown microbes with microbeGPS.

    Science.gov (United States)

    Lindner, Martin S; Renard, Bernhard Y

    2015-01-01

    Microbial community profiling identifies and quantifies organisms in metagenomic sequencing data using either reference based or unsupervised approaches. However, current reference based profiling methods only report the presence and abundance of single reference genomes that are available in databases. Since only a small fraction of environmental genomes is represented in genomic databases, these approaches entail the risk of false identifications and often suggest a higher precision than justified by the data. Therefore, we developed MicrobeGPS, a novel metagenomic profiling approach that overcomes these limitations. MicrobeGPS is the first method that identifies microbiota in the sample and estimates their genomic distances to known reference genomes. With this strategy, MicrobeGPS identifies organisms down to the strain level and highlights possibly inaccurate identifications when the correct reference genome is missing. We demonstrate on three metagenomic datasets with different origin that our approach successfully avoids misleading interpretation of results and additionally provides more accurate results than current profiling methods. Our results indicate that MicrobeGPS can enable reference based taxonomic profiling of complex and less characterized microbial communities. MicrobeGPS is open source and available from https://sourceforge.net/projects/microbegps/ as source code and binary distribution for Windows and Linux operating systems.

  18. Transposon identification using profile HMMs

    Science.gov (United States)

    2010-01-01

    Background Transposons are "jumping genes" that account for large quantities of repetitive content in genomes. They are known to affect transcriptional regulation in several different ways, and are implicated in many human diseases. Transposons are related to microRNAs and viruses, and many genes, pseudogenes, and gene promoters are derived from transposons or have origins in transposon-induced duplication. Modeling transposon-derived genomic content is difficult because they are poorly conserved. Profile hidden Markov models (profile HMMs), widely used for protein sequence family modeling, are rarely used for modeling DNA sequence families. The algorithm commonly used to estimate the parameters of profile HMMs, Baum-Welch, is prone to prematurely converge to local optima. The DNA domain is especially problematic for the Baum-Welch algorithm, since it has only four letters as opposed to the twenty residues of the amino acid alphabet. Results We demonstrate with a simulation study and with an application to modeling the MIR family of transposons that two recently introduced methods, Conditional Baum-Welch and Dynamic Model Surgery, achieve better estimates of the parameters of profile HMMs across a range of conditions. Conclusions We argue that these new algorithms expand the range of potential applications of profile HMMs to many important DNA sequence family modeling problems, including that of searching for and modeling the virus-like transposons that are found in all known genomes. PMID:20158867

  19. Tennessee Valley Region: a year 2000 profile

    Energy Technology Data Exchange (ETDEWEB)

    None

    1978-06-01

    A study was undertaken to determine the potential radiological implications of nuclear facilities in the combined watersheds of the Tennessee and Cumberland rivers, an area covering portions of 7 states of varied topography. The regional population in 1970 was about 4.6 million and is expected to increase to about 7 million by the year 2000. A 1973 projection estimated the installed electric generating capacity of the region to increase from a 1970 value of 45,000 megawatts to a total of 222,000 megawatts by the year 2000. In that year, about 144,000 megawatts were projected to be nuclear plants. The profile of the Tennessee Valley Region in the year 2000, as drawn from this report, contains the essential data for calculation of the radiological dose from operation of nuclear facilities in that year. Those calculations are reported in the companion document, DOE/ET-0064/2. Specifically, Volume I establishes the parameters describing where the people live, what they eat, the activities in which they engage, and the environmental surroundings that enable an evaluation of the potential radiation dose to the population. Airborne radionuclides from nuclear facilities in this zone may enter the study area and be deposited on the ground, on growing food, and on water surfaces. Consideration was not given to waterborne radionuclides external to the study region. 17 references. (MCW)

  20. ESTIMATING NUMBER DENSITY NV – A COMPARISON OF AN IMPROVED SALTYKOV ESTIMATOR AND THE DISECTOR METHOD

    Directory of Open Access Journals (Sweden)

    Ashot Davtian

    2011-05-01

    Full Text Available Two methods for the estimation of number per unit volume NV of spherical particles are discussed: the (physical disector (Sterio, 1984 and Saltykov's estimator (Saltykov, 1950; Fullman, 1953. A modification of Saltykov's estimator is proposed which reduces the variance. Formulae for bias and variance are given for both disector and improved Saltykov estimator for the case of randomly positioned particles. They enable the comparison of the two estimators with respect to their precision in terms of mean squared error.

  1. Web-enabling technologies for the factory floor: a web-enabling strategy for emanufacturing

    Science.gov (United States)

    Velez, Ricardo; Lastra, Jose L. M.; Tuokko, Reijo O.

    2001-10-01

    This paper is intended to address the different technologies available for Web-enabling of the factory floor. It will give an overview of the importance of Web-enabling of the factory floor, in the application of the concepts of flexible and intelligent manufacturing, in conjunction with e-commerce. As a last section, it will try to define a Web-enabling strategy for the application in eManufacturing. This is made under the scope of the electronics manufacturing industry, so every application, technology or related matter is presented under such scope.

  2. Attitude Estimation or Quaternion Estimation?

    Science.gov (United States)

    Markley, F. Landis

    2003-01-01

    The attitude of spacecraft is represented by a 3x3 orthogonal matrix with unity determinant, which belongs to the three-dimensional special orthogonal group SO(3). The fact that all three-parameter representations of SO(3) are singular or discontinuous for certain attitudes has led to the use of higher-dimensional nonsingular parameterizations, especially the four-component quaternion. In attitude estimation, we are faced with the alternatives of using an attitude representation that is either singular or redundant. Estimation procedures fall into three broad classes. The first estimates a three-dimensional representation of attitude deviations from a reference attitude parameterized by a higher-dimensional nonsingular parameterization. The deviations from the reference are assumed to be small enough to avoid any singularity or discontinuity of the three-dimensional parameterization. The second class, which estimates a higher-dimensional representation subject to enough constraints to leave only three degrees of freedom, is difficult to formulate and apply consistently. The third class estimates a representation of SO(3) with more than three dimensions, treating the parameters as independent. We refer to the most common member of this class as quaternion estimation, to contrast it with attitude estimation. We analyze the first and third of these approaches in the context of an extended Kalman filter with simplified kinematics and measurement models.

  3. Direct volume estimation without segmentation

    Science.gov (United States)

    Zhen, X.; Wang, Z.; Islam, A.; Bhaduri, M.; Chan, I.; Li, S.

    2015-03-01

    Volume estimation plays an important role in clinical diagnosis. For example, cardiac ventricular volumes including left ventricle (LV) and right ventricle (RV) are important clinical indicators of cardiac functions. Accurate and automatic estimation of the ventricular volumes is essential to the assessment of cardiac functions and diagnosis of heart diseases. Conventional methods are dependent on an intermediate segmentation step which is obtained either manually or automatically. However, manual segmentation is extremely time-consuming, subjective and highly non-reproducible; automatic segmentation is still challenging, computationally expensive, and completely unsolved for the RV. Towards accurate and efficient direct volume estimation, our group has been researching on learning based methods without segmentation by leveraging state-of-the-art machine learning techniques. Our direct estimation methods remove the accessional step of segmentation and can naturally deal with various volume estimation tasks. Moreover, they are extremely flexible to be used for volume estimation of either joint bi-ventricles (LV and RV) or individual LV/RV. We comparatively study the performance of direct methods on cardiac ventricular volume estimation by comparing with segmentation based methods. Experimental results show that direct estimation methods provide more accurate estimation of cardiac ventricular volumes than segmentation based methods. This indicates that direct estimation methods not only provide a convenient and mature clinical tool for cardiac volume estimation but also enables diagnosis of cardiac diseases to be conducted in a more efficient and reliable way.

  4. Estimating Gear Teeth Stiffness

    DEFF Research Database (Denmark)

    Pedersen, Niels Leergaard

    2013-01-01

    The estimation of gear stiffness is important for determining the load distribution between the gear teeth when two sets of teeth are in contact. Two factors have a major influence on the stiffness; firstly the boundary condition through the gear rim size included in the stiffness calculation...... and secondly the size of the contact. In the FE calculation the true gear tooth root profile is applied. The meshing stiffness’s of gears are highly non-linear, it is however found that the stiffness of an individual tooth can be expressed in a linear form assuming that the contact length is constant....

  5. A Wireless Sensor Enabled by Wireless Power

    Science.gov (United States)

    Lee, Da-Sheng; Liu, Yu-Hong; Lin, Chii-Ruey

    2012-01-01

    Through harvesting energy by wireless charging and delivering data by wireless communication, this study proposes the concept of a wireless sensor enabled by wireless power (WPWS) and reports the fabrication of a prototype for functional tests. One WPWS node consists of wireless power module and sensor module with different chip-type sensors. Its main feature is the dual antenna structure. Following RFID system architecture, a power harvesting antenna was designed to gather power from a standard reader working in the 915 MHz band. Referring to the Modbus protocol, the other wireless communication antenna was integrated on a node to send sensor data in parallel. The dual antenna structure integrates both the advantages of an RFID system and a wireless sensor. Using a standard UHF RFID reader, WPWS can be enabled in a distributed area with a diameter up to 4 m. Working status is similar to that of a passive tag, except that a tag can only be queried statically, while the WPWS can send dynamic data from the sensors. The function is the same as a wireless sensor node. Different WPWSs equipped with temperature and humidity, optical and airflow velocity sensors are tested in this study. All sensors can send back detection data within 8 s. The accuracy is within 8% deviation compared with laboratory equipment. A wireless sensor network enabled by wireless power should be a totally wireless sensor network using WPWS. However, distributed WPWSs only can form a star topology, the simplest topology for constructing a sensor network. Because of shielding effects, it is difficult to apply other complex topologies. Despite this limitation, WPWS still can be used to extend sensor network applications in hazardous environments. Further research is needed to improve WPWS to realize a totally wireless sensor network. PMID:23443370

  6. Identifying enabling management practices for employee engagement

    Directory of Open Access Journals (Sweden)

    Marius Joubert

    2011-12-01

    Full Text Available Orientation: A currently emerging viewpoint is that today's management practices no longer add value to organisations. The focus of this article is to conduct a systematic review of the scholarly literature on management practices that could be related to employee engagement. Research purpose: This study searched for evidence in support of the notion of a management value chain, and enabling management practices within each value chain component that could relate to employee engagement. Motivation for the study: An alternative management value chain model could contribute towards a better understanding of which management practices may potentially impact employee engagement. Research design, approach, and method: This is a non-empirical (theoretical study, based on a systematic, in-depth literature review to identify the key management components and enabling practices within this proposed management value chain. Scholarly research databases were sourced for relevant peer reviewed research conducted since 1990, not excluding important contributions prior to 1990. The literature was systematically searched, selected, studied, and contextualized within this study. Main findings: Support was found for the notion of a management value chain, for enabling management practices within each proposed management value chain component, and it was also established these management practices indeed have an impact on employee engagement. Practical/managerial/implications: The possibility that management work can be presented as a generic management value chain allows managers to approach engaging management practices more systematically. Contribution/value-add: This study highlights the importance of some management practices that have never been seen as part of management work.

  7. Full Body Pose Estimation During Occlusion using Multiple Cameras

    DEFF Research Database (Denmark)

    Fihl, Preben; Cosar, Serhan

    Automatic estimation of the human pose enables many interesting applications and has therefore achieved much attention in recent years. One of the most successful approaches for estimating unconstrained poses has been the pictorial structures framework. However, occlusions between interacting...

  8. Estimation of CO2 stripping/CO2 microalgae consumption ratios in a bubble column photobioreactor using the analysis of the pH profiles. Application to Nannochloropsis oculata microalgae culture.

    Science.gov (United States)

    Valdés, F J; Hernández, M R; Catalá, L; Marcilla, A

    2012-09-01

    Nannochloropsis oculata was grown in an outdoor bubble column photobioreactor. To obtain information about the behaviour of microalgae/photobioreactor system related to the CO(2) net balance, an analysis of the pH profiles during microalgae growth was carried out. The use of the carbonate equilibrium chemistry and the overall CO(2) volumetric mass transfer in the photobioreactor has permitted to obtain information of the CO(2) losses/CO(2) microalgae consumption ratios. The simplicity of the technique used (a pH probe) could extend the use of this methodology for the correct selection of the photobioreactor/microalgae parameters with the aim to maximize the [CO(2) uptaken/(CO(2) uptaken+CO(2) stripped)] ratios. Copyright © 2012 Elsevier Ltd. All rights reserved.

  9. The Cognitive Profile of Creativity in Design

    Science.gov (United States)

    Casakin, Hernan; Kreitler, Shulamith

    2011-01-01

    The objective of the study was to explore the cognitive profile of creativity in design by applying a new approach to the assessment of creativity based on the theory of meaning (Kreitler & Kreitler). The assessment of meaning enables to identify cognitive processes that characterize an individual as well as those necessary for good performance of…

  10. Product Line Enabled Intelligent Mobile Middleware

    DEFF Research Database (Denmark)

    Zhang, Weishan; Kunz, Thomas; Hansen, Klaus Marius

    2007-01-01

    research project called PLIMM that focuses on user-centered application scenarios. PLIMM is designed based on software product line ideas which make it possible for specialized customization and optimization for different purposes and hardware/software platforms. To enable intelligence, the middleware...... needs access to a range of context models. We model these contexts with OWL, focusing on user-centered concepts. The basic building block of PLIMM is the enhanced BDI agent where OWL context ontology logic reasoning will add indirect beliefs to the belief sets. Our approach also addresses the handling...

  11. System for RFID-Enabled Information Collection

    Science.gov (United States)

    Fink, Patrick W. (Inventor); Lin, Gregory Y. (Inventor); Kennedy, Timothy F. (Inventor); Ngo, Phong H. (Inventor)

    2017-01-01

    A sensor and system provide for radio frequency identification (RFID)-enabled information collection. The sensor includes a ring-shaped element and an antenna. The ring-shaped element includes a conductive ring and an RFID integrated circuit. The antenna is spaced apart from the ring-shaped element and defines an electrically-conductive path commensurate in size and shape to at least a portion of the conductive ring. The system may include an interrogator for energizing the ring-shaped element and receiving a data transmission from the RFID integrated circuit that has been energized for further processing by a processor.

  12. Checkpoint/restart-enabled parallel debugging

    Energy Technology Data Exchange (ETDEWEB)

    Hursey, Joshua [Indiana Univ., Bloomington, IN (United States); January, Chris [Allinea Software Ltd., Warwick (United Kingdom); O' Connor, Mark [Allinea Software Ltd., Warwick (United Kingdom); Hargrove, Paul H. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lecomber, David [Allinea Software Ltd., Warwick (United Kingdom); Squyres, Jeffrey M. [Cisco Systems, Inc., San Jose, CA (United States); Lumsdaine, Andrew [Indiana Univ., Bloomington, IN (United States)

    2010-11-12

    Debugging is often the most time consuming part of software development. HPC applications prolong the debugging process by adding more processes interacting in dynamic ways for longer periods of time. Checkpoint/restart- enabled parallel debugging returns the developer to an intermediate state closer to the bug. This focuses the debugging process, saving developers considerable amounts of time, but requires parallel debuggers cooperating with MPI implementations and checkpointers. This paper presents a design specification for such a cooperative relationship. Additionally, this paper discusses the application of this design to the GDB and DDT debuggers, Open MPI, and BLCR projects. © 2010 Springer-Verlag.

  13. Principles for enabling deep secondary design

    DEFF Research Database (Denmark)

    Pries-Heje, Jan; Hansen, Magnus Rotvit Perlt

    2017-01-01

    design by analyzing two cases where secondary designers fundamentally change functionality, content and technology complexity level. The first case redesigns a decision model for agile development in an insurance company; the second creates a contingency model for choosing project management tools...... and techniques in a hospital. Our analysis of the two cases leads to the identification of four principles of design implementation that primary designers can apply to enable secondary design and four corresponding design implementation principles that secondary designers themselves need to apply....

  14. Flexibility-enabling Contracts in Electricity Markets

    DEFF Research Database (Denmark)

    Boscan, Luis; Poudineh, Rahmatallah

    power systems. However, due to presence of high transaction costs, relative to the size of resource, the emerging small resources cannot directly participate in an organised electricity market and/or compete. This paper asks the fundamental question of how should the provision of flexibility, as a multi....... Additionally, along with traditional sources, which already enable flexibility, a number of business models, such as thermostat-based demand response, aggregators and small storage providers, are emerging in electricity markets and expected to constitute important sources of flexibility in future decentralised...

  15. Camera-enabled techniques for organic synthesis

    Science.gov (United States)

    Ingham, Richard J; O’Brien, Matthew; Browne, Duncan L

    2013-01-01

    Summary A great deal of time is spent within synthetic chemistry laboratories on non-value-adding activities such as sample preparation and work-up operations, and labour intensive activities such as extended periods of continued data collection. Using digital cameras connected to computer vision algorithms, camera-enabled apparatus can perform some of these processes in an automated fashion, allowing skilled chemists to spend their time more productively. In this review we describe recent advances in this field of chemical synthesis and discuss how they will lead to advanced synthesis laboratories of the future. PMID:23766820

  16. Estimation of optical properties by spatially resolved reflectance spectroscopy in the subdiffusive regime.

    Science.gov (United States)

    Naglic, Peter; Pernuš, Franjo; Likar, Boštjan; Bürmen, Miran

    2016-09-01

    We propose and objectively evaluate an inverse Monte Carlo model for estimation of absorption and reduced scattering coefficients and similarity parameter ? from spatially resolved reflectance (SRR) profiles in the subdiffusive regime. The similarity parameter ? carries additional information on the phase function that governs the angular properties of scattering in turbid media. The SRR profiles at five source-detector separations were acquired with an optical fiber probe. The inverse Monte Carlo model was based on a cost function that enabled robust estimation of optical properties from a few SRR measurements without a priori knowledge about spectral dependencies of the optical properties. Validation of the inverse Monte Carlo model was performed on synthetic datasets and measured SRR profiles of turbid phantoms comprising molecular dye and polystyrene microspheres. We observed that the additional similarity parameter ? substantially reduced the reflectance variability arising from the phase function properties and significantly improved the accuracy of the inverse Monte Carlo model. However, the observed improvement of the extended inverse Monte Carlo model was limited to reduced scattering coefficients exceeding ?15??cm?1, where the relative root-mean-square errors of the estimated optical properties were well within 10%.

  17. Advances in estimating regional ecosystem phenology from satellite

    Science.gov (United States)

    Eklundh, Lars; Jin, Hongxiao; Cai, Zhanzhang

    2017-04-01

    There is great potential for extracting ecosystem phenology information across large regions from remotely sensed time-series data. Many regional or global Earth observation based data products provide phenological parameters (start of season, end of season, etc.) generated from such data. Unfortunately many of the results are inconsistent, and match poorly with ground-observed phenology. This is due to differences in data source, processing methodology, and influence of non-vegetation factors, such as clouds and snow. Advancing the processing methodology and using remotely sensed parameters related to biophysical vegetation variables are ways to ensure higher consistency of the remote sensing estimates. We propose the use of data corrected for angular effects, and a new vegetation index, the Plant Phenology Index (PPI), derived to reduce problems with traditionally used indices, like the NDVI. The PPI is linearly related to green leaf area index, dynamic also in dense canopies, and avoids problems with snow influence. These advantages result in strong correlations with seasonal profiles of Gross Primary Productivity (GPP) estimated from flux towers, hence, more accurate phenology parameters. We also propose the use of field-installed multispectral sensors to better understand and validate the remotely sensed estimates. A further problem is the scale difference between ground observations and satellite data. New data from the ESA Sentinel-2 satellites will be very useful for estimating these parameters at high spatial resolution, and developments are currently ongoing for deriving phenological parameters from these data at 10 m spatial resolution. This will enable much better matching between satellite products and ground observed phenology. There are fundamental differences between ground-observed and satellite-observed phenology, however, better understanding how the two relate will enable better knowledge of regional ecosystem phenology, its changes across time

  18. An experiment to enable commercial mobile satellite service

    Science.gov (United States)

    Lovell, R. R.; Knouse, G. H.; Weber, W. J.

    A Mobile Satellite Experiment (MSAT-X) is described, based on a planned cooperative U.S./Canadian program. The experiment would establish network architecture, develop system and ground-segment technology, and define the technical characteristics needed to help structure the regulatory/institutional framework needed to enable a first-generation commercial satellite service. A satellite of this type would augment terrestrial systems, both cellular and noncellular, in the thin-route/rural areas of the country where service is either unavailable or inadequate. Applications range from wide-area radio/dispatch (e.g., oil exploration and interstate trucking) to extension of the public mobile telephone service. Market estimates are provided and experiment objectives and requirements are delineated. The requirements are being developed in close coordination with the Department of Communications (DOC) of Canada and with industry and potential-user organizations. The paper closes with a development plan and milestone chart.

  19. Methane concentration inside a submarine mud volcano examined through seismic velocity profiles

    Science.gov (United States)

    Kioka, Arata; Tsuji, Takeshi; Otsuka, Hironori; Ashi, Juichiro

    2017-04-01

    Mud volcanoes are considered to be among largest geological sources releasing hydrocarbon gases into the atmosphere. Numerous studies have revealed their origins and compositions from submarine mud volcanoes. A recent long-term observation at a submarine mud volcano sheds light on that larger volume of methane gas than expected is escaped from deep-water mud volcanoes, suggesting that the global methane flux from the seafloor is likely underestimated. Yet, estimates of the gas amount inside mud volcanoes have been still challenging, because of the difficulty of in-situ measurements. This study provides a new model to bridge methane amounts and seismic velocities in fluidized mud conduits of submarine mud volcanoes. This model is universally applicable and enables estimates of methane concentration in the mud conduits, using the seismic velocity profile derived from reflection/refraction seismic and/or downhole logging data. In this study, (1) we examine our modeled results through deep-drilling data obtained at mud volcanoes in the Olimpi mud field of the central Mediterranean Ridge accretionary margin, to evaluate the difference between in situ methane amounts and those calculated from our model, and (2) apply our model to the seismic velocity profile derived from seicmic data to estimate the methane amount inside the submarine mud volcano in the Nankai accretionary margin. Our scheme may provide an opportunity to re-estimate the total methane flux from submarine mud volcanoes.

  20. MOPED enables discoveries through consistently processed proteomics data.

    Science.gov (United States)

    Higdon, Roger; Stewart, Elizabeth; Stanberry, Larissa; Haynes, Winston; Choiniere, John; Montague, Elizabeth; Anderson, Nathaniel; Yandl, Gregory; Janko, Imre; Broomall, William; Fishilevich, Simon; Lancet, Doron; Kolker, Natali; Kolker, Eugene

    2014-01-03

    The Model Organism Protein Expression Database (MOPED, http://moped.proteinspire.org) is an expanding proteomics resource to enable biological and biomedical discoveries. MOPED aggregates simple, standardized and consistently processed summaries of protein expression and metadata from proteomics (mass spectrometry) experiments from human and model organisms (mouse, worm, and yeast). The latest version of MOPED adds new estimates of protein abundance and concentration as well as relative (differential) expression data. MOPED provides a new updated query interface that allows users to explore information by organism, tissue, localization, condition, experiment, or keyword. MOPED supports the Human Proteome Project's efforts to generate chromosome- and diseases-specific proteomes by providing links from proteins to chromosome and disease information as well as many complementary resources. MOPED supports a new omics metadata checklist to harmonize data integration, analysis, and use. MOPED's development is driven by the user community, which spans 90 countries and guides future development that will transform MOPED into a multiomics resource. MOPED encourages users to submit data in a simple format. They can use the metadata checklist to generate a data publication for this submission. As a result, MOPED will provide even greater insights into complex biological processes and systems and enable deeper and more comprehensive biological and biomedical discoveries.

  1. Enabling Searches on Wavelengths in a Hyperspectral Indices Database

    Science.gov (United States)

    Piñuela, F.; Cerra, D.; Müller, R.

    2017-10-01

    Spectral indices derived from hyperspectral reflectance measurements are powerful tools to estimate physical parameters in a non-destructive and precise way for several fields of applications, among others vegetation health analysis, coastal and deep water constituents, geology, and atmosphere composition. In the last years, several micro-hyperspectral sensors have appeared, with both full-frame and push-broom acquisition technologies, while in the near future several hyperspectral spaceborne missions are planned to be launched. This is fostering the use of hyperspectral data in basic and applied research causing a large number of spectral indices to be defined and used in various applications. Ad hoc search engines are therefore needed to retrieve the most appropriate indices for a given application. In traditional systems, query input parameters are limited to alphanumeric strings, while characteristics such as spectral range/ bandwidth are not used in any existing search engine. Such information would be relevant, as it enables an inverse type of search: given the spectral capabilities of a given sensor or a specific spectral band, find all indices which can be derived from it. This paper describes a tool which enables a search as described above, by using the central wavelength or spectral range used by a given index as a search parameter. This offers the ability to manage numeric wavelength ranges in order to select indices which work at best in a given set of wavelengths or wavelength ranges.

  2. Blue space geographies: Enabling health in place.

    Science.gov (United States)

    Foley, Ronan; Kistemann, Thomas

    2015-09-01

    Drawing from research on therapeutic landscapes and relationships between environment, health and wellbeing, we propose the idea of 'healthy blue space' as an important new development Complementing research on healthy green space, blue space is defined as; 'health-enabling places and spaces, where water is at the centre of a range of environments with identifiable potential for the promotion of human wellbeing'. Using theoretical ideas from emotional and relational geographies and critical understandings of salutogenesis, the value of blue space to health and wellbeing is recognised and evaluated. Six individual papers from five different countries consider how health can be enabled in mixed blue space settings. Four sub-themes; embodiment, inter-subjectivity, activity and meaning, document multiple experiences within a range of healthy blue spaces. Finally, we suggest a considerable research agenda - theoretical, methodological and applied - for future work within different forms of blue space. All are suggested as having public health policy relevance in social and public space. Copyright © 2015 Elsevier Ltd. All rights reserved.

  3. MENTOR: an enabler for interoperable intelligent systems

    Science.gov (United States)

    Sarraipa, João; Jardim-Goncalves, Ricardo; Steiger-Garcao, Adolfo

    2010-07-01

    A community with knowledge organisation based on ontologies will enable an increase in the computational intelligence of its information systems. However, due to the worldwide diversity of communities, a high number of knowledge representation elements, which are not semantically coincident, have appeared representing the same segment of reality, becoming a barrier to business communications. Even if a domain community uses the same kind of technologies in its information systems, such as ontologies, it doesn't solve its semantics differences. In order to solve this interoperability problem, a solution is to use a reference ontology as an intermediary in the communications between the community enterprises and the outside, while allowing the enterprises to keep their own ontology and semantics unchanged internally. This work proposes MENTOR, a methodology to support the development of a common reference ontology for a group of organisations sharing the same business domain. This methodology is based on the mediator ontology (MO) concept, which assists the semantic transformations among each enterprise's ontology and the referential one. The MO enables each organisation to keep its own terminology, glossary and ontological structures, while providing seamless communication and interaction with the others.

  4. Standardized Whole-Blood Transcriptional Profiling Enables the Deconvolution of Complex Induced Immune Responses

    Directory of Open Access Journals (Sweden)

    Alejandra Urrutia

    2016-09-01

    Full Text Available Systems approaches for the study of immune signaling pathways have been traditionally based on purified cells or cultured lines. However, in vivo responses involve the coordinated action of multiple cell types, which interact to establish an inflammatory microenvironment. We employed standardized whole-blood stimulation systems to test the hypothesis that responses to Toll-like receptor ligands or whole microbes can be defined by the transcriptional signatures of key cytokines. We found 44 genes, identified using Support Vector Machine learning, that captured the diversity of complex innate immune responses with improved segregation between distinct stimuli. Furthermore, we used donor variability to identify shared inter-cellular pathways and trace cytokine loops involved in gene expression. This provides strategies for dimension reduction of large datasets and deconvolution of innate immune responses applicable for characterizing immunomodulatory molecules. Moreover, we provide an interactive R-Shiny application with healthy donor reference values for induced inflammatory genes.

  5. miRNA expression profiling enables risk stratification in archived and fresh neuroblastoma tumor samples

    NARCIS (Netherlands)

    de Preter, Katleen; Mestdagh, Pieter; Vermeulen, Joëlle; Zeka, Fjoralba; Naranjo, Arlene; Bray, Isabella; Castel, Victoria; Chen, Caifu; Drozynska, Elzbieta; Eggert, Angelika; Hogarty, Michael D.; Izycka-Swieszewska, Ewa; London, Wendy B.; Noguera, Rosa; Piqueras, Marta; Bryan, Kenneth; Schowe, Benjamin; van Sluis, Peter; Molenaar, Jan J.; Schramm, Alexander; Schulte, Johannes H.; Stallings, Raymond L.; Versteeg, Rogier; Laureys, Geneviève; van Roy, Nadine; Speleman, Frank; Vandesompele, Jo

    2011-01-01

    More accurate assessment of prognosis is important to further improve the choice of risk-related therapy in neuroblastoma (NB) patients. In this study, we aimed to establish and validate a prognostic miRNA signature for children with NB and tested it in both fresh frozen and archived formalin-fixed

  6. [Drug consumption in diabetes mellitus (I). Estimate of the therapeutic profile and the prevalence in the regions of Tarragona (548,900 inhabitants). Grup per a l'Estudi de la Diabetis a Tarragona].

    Science.gov (United States)

    Costa, B; Utgés, P; Monclús, J F; Gomis, T; Ciurana, M R; Julve, P

    1992-09-19

    This study was carried out to estimate the treatment characteristics and prevalence of diabetes mellitus (DM) diagnosed in the counties of Tarragona (548,900 inhabitants) from the consumption of hypoglycemic medication. A stratified aleatory sample was made of the prescription of oral hypoglycemic agents (OHA) and insulin (INS) in 14 centers of primary health care. Calculation of pharmacy dispensing and prescriptions (computer network of the Institut Català de la Salut) was carried out with a relation of the mean doses of the survey and the estimate of the consumer population being made. A contrast was made of the system with the daily doses defined (DDD/1,000 inhabitants/day) of the different OHA and INS preparations. Following aleatorization a representative sample of 550 diabetics, 64 (11.6%) type I and 486 (88.4%) type II was obtained. In total, 61 were treated with diet alone (IC 95%; 8-13%, p less than 0.05); 249 (41-49%) with OHA (51% of type II) and 240 (39-47%) received insulin, all the type I and 176 (36%) type II. In 23 cases (2-5%) multiple therapy with different drugs was confirmed and 72 (10-15%) were treated with the maximal doses of OHA recommended. The rate of OHA/INS was 2.02-2.05. The prevalence of pharmaco-treated DM was 1.9% (prescriptions of public health) and 2.1-2.3% (total consumption). The method for DDD was evaluated as between 1.8% (prescriptions) and 2.0% (total consumption). Globally, during 1990 the prevalence of DM diagnosed in Tarragona was estimated as between 2.1-2.5%. The estimation of the prevalence of diabetes mellitus indicated higher numbers than those obtained in other studies providing a first line indicator for the planning of care for diabetics in this demarcation. The study also identified the real therapeutic tendencies permitting the extraction of lines of action for the education of diabetics and the formation of professionals attending these patients.

  7. The ``Micro'' Aethalometer - an enabling technology for new applications in the measurement of Aerosol Black Carbon

    Science.gov (United States)

    Hansen, A. D.; Močnik, G.

    2010-12-01

    Aerosol Black Carbon (BC) is a tracer for combustion emissions; a primary indicator of adverse health effects; and the second leading contributor to Global Climate Change. The “Micro” Aethalometer is a recently-developed miniature instrument that makes a real-time measurement of BC on a very short timebase in a self-contained, battery-powered package that is lightweight and pocket sized. This technological development critically enables new areas of research: Measurements of the vertical profile of BC, by carrying the sampler aloft on a balloon (tethered or released) or aircraft (piloted or UAV); Estimates of the concentration of BC in the troposphere and lower stratosphere in the 8 - 12 km. altitude range, by measurements in the passenger cabin during commercial air travel; Epidemiological studies of personal exposure to BC, by carrying the sampler on a subject person in health studies; Measurements of the concentration of BC in rural and remote regions, by means of a small, battery-powered instrument that is convenient to deploy; measurements of high concentrations of “smoke” in indoor and outdoor environments in developing countries; Unobtrusive monitoring of BC infiltration into indoor environments, by means of a small, quiet instrument that can be placed in publicly-used spaces, school classrooms, museums, and other potentially-impacted locations; Adaptation of the technology to the direct source measurement of BC concentrations in emissions from diesel exhausts, combustion plumes, and other sources. We will show examples of data from various recent projects to illustrate the capabilities and applications of this new instrument.

  8. Estimating Utility

    DEFF Research Database (Denmark)

    Arndt, Channing; Simler, Kenneth R.

    2010-01-01

    an information-theoretic approach to estimating cost-of-basic-needs (CBN) poverty lines that are utility consistent. Applications to date illustrate that utility-consistent poverty measurements derived from the proposed approach and those derived from current CBN best practices often differ substantially...

  9. Profiling and Racial Profiling: An Interactive Exercise

    Science.gov (United States)

    Semple, Philip

    2013-01-01

    Racial Profiling has been recognized as a serious problem that affects many segments of our society and is especially notable in law enforcement. Governments and police services have pronounced that racial profiling is not acceptable and will not be tolerated. They have gone to great lengths in trying to eradicate racial profiling through…

  10. Characterization of X-ray generator beam profiles.

    Energy Technology Data Exchange (ETDEWEB)

    Mitchell, Dean J; Harding, Lee T.; Thoreson, Gregory G.; Theisen, Lisa Anne; Parmeter, John Ethan; Thompson, Kyle Richard

    2013-07-01

    T to compute the radiography properties of various materials, the flux profiles of X-ray sources must be characterized. This report describes the characterization of X-ray beam profiles from a Kimtron industrial 450 kVp radiography system with a Comet MXC-45 HP/11 bipolar oil-cooled X-ray tube. The empirical method described here uses a detector response function to derive photon flux profiles based on data collected with a small cadmium telluride detector. The flux profiles are then reduced to a simple parametric form that enables computation of beam profiles for arbitrary accelerator energies.

  11. System for estimating fatigue damage

    Science.gov (United States)

    LeMonds, Jeffrey; Guzzo, Judith Ann; Liu, Shaopeng; Dani, Uttara Ashwin

    2017-03-14

    In one aspect, a system for estimating fatigue damage in a riser string is provided. The system includes a plurality of accelerometers which can be deployed along a riser string and a communications link to transmit accelerometer data from the plurality of accelerometers to one or more data processors in real time. With data from a limited number of accelerometers located at sensor locations, the system estimates an optimized current profile along the entire length of the riser including riser locations where no accelerometer is present. The optimized current profile is then used to estimate damage rates to individual riser components and to update a total accumulated damage to individual riser components. The number of sensor locations is small relative to the length of a deepwater riser string, and a riser string several miles long can be reliably monitored along its entire length by fewer than twenty sensor locations.

  12. Enabling Computational Technologies for Terascale Scientific Simulations

    Energy Technology Data Exchange (ETDEWEB)

    Ashby, S.F.

    2000-08-24

    We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulations on massively parallel processors (MPPs). Our research in multigrid-based linear solvers and adaptive mesh refinement enables Laboratory programs to use MPPs to explore important physical phenomena. For example, our research aids stockpile stewardship by making practical detailed 3D simulations of radiation transport. The need to solve large linear systems arises in many applications, including radiation transport, structural dynamics, combustion, and flow in porous media. These systems result from discretizations of partial differential equations on computational meshes. Our first research objective is to develop multigrid preconditioned iterative methods for such problems and to demonstrate their scalability on MPPs. Scalability describes how total computational work grows with problem size; it measures how effectively additional resources can help solve increasingly larger problems. Many factors contribute to scalability: computer architecture, parallel implementation, and choice of algorithm. Scalable algorithms have been shown to decrease simulation times by several orders of magnitude.

  13. Metasurface-Enabled Remote Quantum Interference.

    Science.gov (United States)

    Jha, Pankaj K; Ni, Xingjie; Wu, Chihhui; Wang, Yuan; Zhang, Xiang

    2015-07-10

    An anisotropic quantum vacuum (AQV) opens novel pathways for controlling light-matter interaction in quantum optics, condensed matter physics, etc. Here, we theoretically demonstrate a strong AQV over macroscopic distances enabled by a judiciously designed array of subwavelength-scale nanoantennas-a metasurface. We harness the phase-control ability and the polarization-dependent response of the metasurface to achieve strong anisotropy in the decay rate of a quantum emitter located over distances of hundreds of wavelengths. Such an AQV induces quantum interference among radiative decay channels in an atom with orthogonal transitions. Quantum vacuum engineering with metasurfaces holds promise for exploring new paradigms of long-range light-matter interaction for atom optics, solid-state quantum optics, quantum information processing, etc.

  14. Microsystem enabled photovoltaic modules and systems

    Science.gov (United States)

    Nielson, Gregory N; Sweatt, William C; Okandan, Murat

    2015-05-12

    A microsystem enabled photovoltaic (MEPV) module including: an absorber layer; a fixed optic layer coupled to the absorber layer; a translatable optic layer; a translation stage coupled between the fixed and translatable optic layers; and a motion processor electrically coupled to the translation stage to controls motion of the translatable optic layer relative to the fixed optic layer. The absorber layer includes an array of photovoltaic (PV) elements. The fixed optic layer includes an array of quasi-collimating (QC) micro-optical elements designed and arranged to couple incident radiation from an intermediate image formed by the translatable optic layer into one of the PV elements such that it is quasi-collimated. The translatable optic layer includes an array of focusing micro-optical elements corresponding to the QC micro-optical element array. Each focusing micro-optical element is designed to produce a quasi-telecentric intermediate image from substantially collimated radiation incident within a predetermined field of view.

  15. Enabling plant synthetic biology through genome engineering.

    Science.gov (United States)

    Baltes, Nicholas J; Voytas, Daniel F

    2015-02-01

    Synthetic biology seeks to create new biological systems, including user-designed plants and plant cells. These systems can be employed for a variety of purposes, ranging from producing compounds of industrial or therapeutic value, to reducing crop losses by altering cellular responses to pathogens or climate change. To realize the full potential of plant synthetic biology, techniques are required that provide control over the genetic code - enabling targeted modifications to DNA sequences within living plant cells. Such control is now within reach owing to recent advances in the use of sequence-specific nucleases to precisely engineer genomes. We discuss here the enormous potential provided by genome engineering for plant synthetic biology. Copyright © 2014 Elsevier Ltd. All rights reserved.

  16. Enabling opportunistic resources for CMS Computing Operations

    Energy Technology Data Exchange (ETDEWEB)

    Hufnagel, Dick [Fermilab

    2015-11-19

    With the increased pressure on computing brought by the higher energy and luminosity from the LHC in Run 2, CMS Computing Operations expects to require the ability to utilize “opportunistic” resources — resources not owned by, or a priori configured for CMS — to meet peak demands. In addition to our dedicated resources we look to add computing resources from non CMS grids, cloud resources, and national supercomputing centers. CMS uses the HTCondor/glideinWMS job submission infrastructure for all its batch processing, so such resources will need to be transparently integrated into its glideinWMS pool. Bosco and parrot wrappers are used to enable access and bring the CMS environment into these non CMS resources. Here we describe our strategy to supplement our native capabilities with opportunistic resources and our experience so far using them.

  17. Bluetooth-enabled teleradiology: applications and complications.

    Science.gov (United States)

    Hura, Angela M

    2002-01-01

    Wireless personal area networks and local area networks are becoming increasingly more prevalent in the teleradiology and telemedicine industry. Although there has been much debate about the role that Bluetooth will play in the future of wireless technology, both promoters and doubters acknowledge that Bluetooth will have an impact on networking, even if only as a "niche" product. This article provides an overview of the Bluetooth standard and highlights current and future areas of inclusion for use in a teleradiology environment. The possibilities for Bluetooth in a teleradiology environment without wires are nearly boundless and an overview of current and proposed Bluetooth-enabled radiology equipment and vendors is provided. A comparison of Bluetooth and other wireless technologies is provided, including areas of similarity and potential conflict. Bluetooth and other wireless technologies can not only peacefully coexist but also complement each other and provide enhanced teleradiology services.

  18. Enabling Indoor Location-Based Services

    DEFF Research Database (Denmark)

    Radaelli, Laura

    of trajectory data that can be used to study how people actually use indoor spaces. In this dissertation, we contribute partial solutions that address challenges in indoor positioning and indoor trajectory management and analysis. The key enabler of indoor location-based services and indoor movement analysis...... is a well-functioning positioning system that can be easily deployed in most public places. Different technologies are able to provide indoor positioning with different accuracy and coverage, but it is difficult to find a technology that by itself can provide good positioning in the many different layouts...... of indoor spaces that exhibit more variability than outdoor spaces. We investigate the integration of different technologies for positioning. First, we examine the concept of an organic system, i.e., a system that is initialized and maintained by users, and we extend it in a vision of a fully organic indoor...

  19. Enabling a New Planning and Scheduling Paradigm

    Science.gov (United States)

    Jaap, John; Davis, Elizabeth

    2004-01-01

    The Flight Projects Directorate at NASA's Marshall Space Flight Center is developing a new planning and scheduling environment and a new scheduling algorithm to enable a paradigm shift in planning and scheduling concepts. Over the past 33 years Marshall has developed and evolved a paradigm for generating payload timelines for Skylab, Spacelab, various other Shuttle payloads, and the International Space Station. The current paradigm starts by collecting the requirements, called "tasks models," from the scientists and technologists for the tasks that they want to be done. Because of shortcomings in the current modeling schema, some requirements are entered as notes. Next a cadre with knowledge of vehicle and hardware modifies these models to encompass and be compatible with the hardware model; again, notes are added when the modeling schema does not provide a better way to represent the requirements. Finally, another cadre further modifies the models to be compatible with the scheduling engine. This last cadre also submits the models to the scheduling engine or builds the timeline manually to accommodate requirements that are expressed in notes. A future paradigm would provide a scheduling engine that accepts separate science models and hardware models. The modeling schema would have the capability to represent all the requirements without resorting to notes. Furthermore, the scheduling engine would not require that the models be modified to account for the capabilities (limitations) of the scheduling engine. The enabling technology under development at Marshall has three major components. (1) A new modeling schema allows expressing all the requirements of the tasks without resorting to notes or awkward contrivances. The chosen modeling schema is both maximally expressive and easy to use. It utilizes graphics methods to show hierarchies of task constraints and networks of temporal relationships. (2) A new scheduling algorithm automatically schedules the models

  20. Enabling Radiation Tolerant Systems for Space

    Science.gov (United States)

    Kauffman, Billy; Hardage, Donna

    1999-01-01

    A hazard to all spacecraft orbiting the Earth is the existence of a harsh environment with its subsequent effects. The effects can provide damaging or even disabling effects on spacecraft and its instruments. One of the most recognized and serious of the different space environments is ionizing radiation and its effects on spacecraft and spacecraft systems. This is increasingly becoming more of an issue for all missions due to the use of lighter composite materials, smaller satellites, and smaller electronics. NASA's Space Environments and Effects (SEE) Program was established to develop new plateaus of technical capability to reduce the cost of NASA's missions and provide leading-edge exploratory and focused technology to promote continued U.S. preeminence in space. The SEE Program has an "Implementation Plan" to develop roadmaps and fund technical tasks to enable radiation systems for space.

  1. Grid Enabled Geospatial Catalogue Web Service

    Science.gov (United States)

    Chen, Ai-Jun; Di, Li-Ping; Wei, Ya-Xing; Liu, Yang; Bui, Yu-Qi; Hu, Chau-Min; Mehrotra, Piyush

    2004-01-01

    Geospatial Catalogue Web Service is a vital service for sharing and interoperating volumes of distributed heterogeneous geospatial resources, such as data, services, applications, and their replicas over the web. Based on the Grid technology and the Open Geospatial Consortium (0GC) s Catalogue Service - Web Information Model, this paper proposes a new information model for Geospatial Catalogue Web Service, named as GCWS which can securely provides Grid-based publishing, managing and querying geospatial data and services, and the transparent access to the replica data and related services under the Grid environment. This information model integrates the information model of the Grid Replica Location Service (RLS)/Monitoring & Discovery Service (MDS) with the information model of OGC Catalogue Service (CSW), and refers to the geospatial data metadata standards from IS0 19115, FGDC and NASA EOS Core System and service metadata standards from IS0 191 19 to extend itself for expressing geospatial resources. Using GCWS, any valid geospatial user, who belongs to an authorized Virtual Organization (VO), can securely publish and manage geospatial resources, especially query on-demand data in the virtual community and get back it through the data-related services which provide functions such as subsetting, reformatting, reprojection etc. This work facilitates the geospatial resources sharing and interoperating under the Grid environment, and implements geospatial resources Grid enabled and Grid technologies geospatial enabled. It 2!so makes researcher to focus on science, 2nd not cn issues with computing ability, data locztic, processir,g and management. GCWS also is a key component for workflow-based virtual geospatial data producing.

  2. Enabling SAML for Dynamic Identity Federation Management

    Science.gov (United States)

    Arias Cabarcos, Patricia; Almenárez Mendoza, Florina; Marín-López, Andrés; Díaz-Sánchez, Daniel

    Federation in identity management has emerged as a key concept for reducing complexity in the companies and offering an improved user experience when accessing services. In this sense, the process of trust establishment is fundamental to allow rapid and seamless interaction between different trust domains. However, the problem of establishing identity federations in dynamic and open environments that form part of Next Generation Networks (NGNs), where it is desirable to speed up the processes of service provisioning and deprovisioning, has not been fully addressed. This paper analyzes the underlying trust mechanisms of the existing frameworks for federated identity management and its suitability to be applied in the mentioned environments. This analysis is mainly focused on the Single Sign On (SSO) profile. We propose a generic extension for the SAML standard in order to facilitate the creation of federation relationships in a dynamic way between prior unknown parties. Finally, we give some details of implementation and compatibility issues.

  3. New lightweight construction prospects enabled by hydroforming

    Directory of Open Access Journals (Sweden)

    Werner Markus

    2015-01-01

    Full Text Available To reduce weight of a component and improve its performance, the part properties have to be adapted to the requirements, the load profile, and the function of the product. This leads to a continuously increasing complexity of the components necessitating innovative manufacturing strategies for producing the desired shapes from materials that are difficult to handle. Hydroforming offers high potential for fulfilling this demand, especially, if it is applied in deliberate process integrations, combinations, and chains that allow exploiting complementary advantages of all technologies involved. The paper presents four examples of such manufacturing strategies: magnetic pulse welding followed by tube hydroforming, deep drawing combined with injection moulding and hydroforming using the molten plastic, free bending or roll forming followed by hydroforming, and deep drawing with integrated media forming.

  4. Tunable beam steering enabled by graphene metamaterials.

    Science.gov (United States)

    Orazbayev, B; Beruete, M; Khromova, I

    2016-04-18

    We demonstrate tunable mid-infrared (MIR) beam steering devices based on multilayer graphene-dielectric metamaterials. The effective refractive index of such metamaterials can be manipulated by changing the chemical potential of each graphene layer. This can arbitrarily tailor the spatial distribution of the phase of the transmitted beam, providing mechanisms for active beam steering. Three different beam steerer (BS) designs are discussed: a graded-index (GRIN) graphene-based metamaterial block, an array of metallic waveguides filled with graphene-dielectric metamaterial and an array of planar waveguides created in a graphene-dielectric metamaterial block with a specific spatial profile of graphene sheets doping. The performances of the BSs are numerically analyzed, showing the tunability of the proposed designs for a wide range of output angles (up to approximately 70°). The proposed graphene-based tunable beam steering can be used in tunable transmitter/receiver modules for infrared imaging and sensing.

  5. Aggregate driver model to enable predictable behaviour

    Science.gov (United States)

    Chowdhury, A.; Chakravarty, T.; Banerjee, T.; Balamuralidhar, P.

    2015-09-01

    The categorization of driving styles, particularly in terms of aggressiveness and skill is an emerging area of interest under the broader theme of intelligent transportation. There are two possible discriminatory techniques that can be applied for such categorization; a microscale (event based) model and a macro-scale (aggregate) model. It is believed that an aggregate model will reveal many interesting aspects of human-machine interaction; for example, we may be able to understand the propensities of individuals to carry out a given task over longer periods of time. A useful driver model may include the adaptive capability of the human driver, aggregated as the individual propensity to control speed/acceleration. Towards that objective, we carried out experiments by deploying smartphone based application to be used for data collection by a group of drivers. Data is primarily being collected from GPS measurements including position & speed on a second-by-second basis, for a number of trips over a two months period. Analysing the data set, aggregate models for individual drivers were created and their natural aggressiveness were deduced. In this paper, we present the initial results for 12 drivers. It is shown that the higher order moments of the acceleration profile is an important parameter and identifier of journey quality. It is also observed that the Kurtosis of the acceleration profiles stores major information about the driving styles. Such an observation leads to two different ranking systems based on acceleration data. Such driving behaviour models can be integrated with vehicle and road model and used to generate behavioural model for real traffic scenario.

  6. Toward Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models.

    Science.gov (United States)

    Li, Congcong; Kowdle, Adarsh; Saxena, Ashutosh; Chen, Tsuhan

    2012-07-01

    Scene understanding includes many related subtasks, such as scene categorization, depth estimation, object detection, etc. Each of these subtasks is often notoriously hard, and state-of-the-art classifiers already exist for many of them. These classifiers operate on the same raw image and provide correlated outputs. It is desirable to have an algorithm that can capture such correlation without requiring any changes to the inner workings of any classifier. We propose Feedback Enabled Cascaded Classification Models (FE-CCM), that jointly optimizes all the subtasks while requiring only a "black box" interface to the original classifier for each subtask. We use a two-layer cascade of classifiers, which are repeated instantiations of the original ones, with the output of the first layer fed into the second layer as input. Our training method involves a feedback step that allows later classifiers to provide earlier classifiers information about which error modes to focus on. We show that our method significantly improves performance in all the subtasks in the domain of scene understanding, where we consider depth estimation, scene categorization, event categorization, object detection, geometric labeling, and saliency detection. Our method also improves performance in two robotic applications: an object-grasping robot and an object-finding robot.

  7. Nonlinear Least Squares Methods for Joint DOA and Pitch Estimation

    DEFF Research Database (Denmark)

    Jensen, Jesper Rindom; Christensen, Mads Græsbøll; Jensen, Søren Holdt

    2013-01-01

    In this paper, we consider the problem of joint direction-of-arrival (DOA) and fundamental frequency estimation. Joint estimation enables robust estimation of these parameters in multi-source scenarios where separate estimators may fail. First, we derive the exact and asymptotic Cram\\'{e}r-Rao...

  8. Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak

    National Research Council Canada - National Science Library

    Chunara, Rumi; Andrews, Jason R; Brownstein, John S

    2012-01-01

    .... We assessed correlation of volume of cholera-related HealthMap news media reports, Twitter postings, and government cholera cases reported in the first 100 days of the 2010 Haitian cholera outbreak...

  9. Europium enabled luminescent nanoparticles for biomedical applications

    Energy Technology Data Exchange (ETDEWEB)

    Syamchand, S.S., E-mail: syamchand.ss@gmail.com; Sony, G., E-mail: emailtosony@gmail.com

    2015-09-15

    Lanthanide based nanoparticles are receiving great attention ought to their excellent luminescent and magnetic properties and find challenging biomedical applications. Among the luminescent lanthanide NPs, europium based NPs (Eu-NPs) are better candidates for immunoassay and imaging applications. The Eu-NPs have an edge over quantum dots (QDs) by means of their stable luminescence, long fluorescence lifetime, sharp emission peaks with narrow band width, lack of blinking and biocompatibility. This review surveys the synthesis and properties of a variety of Eu-NPs consolidated from different research articles, for their applications in medicine and biology. The exquisite luminescent properties of Eu-NPs are explored for developing biomedical applications such as immunoassay and bioimaging including multimodal imaging. The biomedical applications of Eu-NPs are mostly diagnostic in nature and mainly focus on various key analytes present in biological systems. The luminescent properties of europium enabled NPs are influenced by a number of factors such as the site symmetry, the metal nanoparticles, metal ions, quantum dots, surfactants, morphology of Eu-NPs, crystal defect, phenomena like antenna effect and physical parameters like temperature. Through this review we explore and assimilate all the factors which affect the luminescence in Eu-NPs and coil a new thread of parameters that control the luminescence in Eu-NPs, which would provide further insight in developing Eu-based nanoprobes for future biomedical prospects. - Highlights: • The review describes 14 major factors that influence the luminescence properties of europium enabled luminescent nanoparticles (Eu-NPs). • Surveys different types of europium containing nanoparticles that have been reported for their biomedical applications. • Eu-NPs are conveniently divided into four different categories, based on the type of the substrates involved. The four categories are (1) virgin Eu-substrate based NPs; (2

  10. Enabling Wireless Avionics Intra-Communications

    Science.gov (United States)

    Torres, Omar; Nguyen, Truong; Mackenzie, Anne

    2016-01-01

    The Electromagnetics and Sensors Branch of NASA Langley Research Center (LaRC) is investigating the potential of an all-wireless aircraft as part of the ECON (Efficient Reconfigurable Cockpit Design and Fleet Operations using Software Intensive, Networked and Wireless Enabled Architecture) seedling proposal, which is funded by the Convergent Aeronautics Solutions (CAS) project, Transformative Aeronautics Concepts (TAC) program, and NASA Aeronautics Research Institute (NARI). The project consists of a brief effort carried out by a small team in the Electromagnetic Environment Effects (E3) laboratory with the intention of exposing some of the challenges faced by a wireless communication system inside the reflective cavity of an aircraft and to explore potential solutions that take advantage of that environment for constructive gain. The research effort was named EWAIC for "Enabling Wireless Aircraft Intra-communications." The E3 laboratory is a research facility that includes three electromagnetic reverberation chambers and equipment that allow testing and generation of test data for the investigation of wireless systems in reflective environments. Using these chambers, the EWAIC team developed a set of tests and setups that allow the intentional variation of intensity of a multipath field to reproduce the environment of the various bays and cabins of large transport aircraft. This setup, in essence, simulates an aircraft environment that allows the investigation and testing of wireless communication protocols that can effectively be used as a tool to mitigate some of the risks inherent to an aircraft wireless system for critical functions. In addition, the EWAIC team initiated the development of a computational modeling tool to illustrate the propagation of EM waves inside the reflective cabins and bays of aircraft and to obtain quantifiable information regarding the degradation of signals in aircraft subassemblies. The nose landing gear of a UAV CAD model was used

  11. Enabling the enabler: Using access to information to ensure the right ...

    African Journals Online (AJOL)

    ... the protestinfo.org.za website. The results of these efforts show that compliance with the RGA is uneven. This article explores the flaws in the regulatory environment that have led to this level of apathy within government, despite the crucial role of the right to protest and the right of access to information as enabling rights in ...

  12. Willing and Enabled: The Academic Outcomes of a Tertiary Enabling Program in Regional Australia

    Science.gov (United States)

    Andrewartha, Lisa; Harvey, Andrew

    2014-01-01

    This paper examines the achievement levels of students undertaking the Tertiary Enabling Program (TEP) at La Trobe University. The TEP is an alternative pathway program that traverses multiple institutions, campuses, and disciplinary areas, and is designed to prepare a diverse student cohort for tertiary study. The Program integrates several…

  13. Vision and operational concept for enabling advanced traveler information services : market readiness assessment (EnableATIS).

    Science.gov (United States)

    2012-05-01

    The purpose of this market readiness assessment is to identify next steps for USDOT to research, demonstrate and advance the objectives of EnableATIS. This will include demonstrating those key concepts that will be within the USDOT and agency sphere ...

  14. Towards Current Profile Control in ITER: Potential Approaches and Research Needs

    Science.gov (United States)

    Schuster, E.; Barton, J. E.; Wehner, W. P.

    2014-10-01

    Many challenging plasma control problems still need to be addressed in order for the ITER Plasma Control System (PCS) to be able to successfully achieve the ITER project goals. For instance, setting up a suitable toroidal current density profile is key for one possible advanced scenario characterized by noninductive sustainment of the plasma current and steady-state operation. The nonlinearity and high dimensionality exhibited by the plasma demand a model-based current-profile control synthesis procedure that can accommodate this complexity through embedding the known physics within the design. The development of a model capturing the dynamics of the plasma relevant for control design enables not only the design of feedback controllers for regulation or tracking but also the design of optimal feedforward controllers for a systematic model-based approach to scenario planning, the design of state estimators for a reliable real-time reconstruction of the plasma internal profiles based on limited and noisy diagnostics, and the development of a fast predictive simulation code for closed-loop performance evaluation before implementation. Progress towards control-oriented modeling of the current profile evolution and associated control design has been reported following both data-driven and first-principles-driven approaches. An overview of these two approaches will be provided, as well as a discussion on research needs associated with each one of the model applications described above. Supported by the US Department of Energy under DE-SC0001334 and DE-SC0010661.

  15. Enabling scientific workflows in virtual reality

    Science.gov (United States)

    Kreylos, O.; Bawden, G.; Bernardin, T.; Billen, M.I.; Cowgill, E.S.; Gold, R.D.; Hamann, B.; Jadamec, M.; Kellogg, L.H.; Staadt, O.G.; Sumner, D.Y.

    2006-01-01

    To advance research and improve the scientific return on data collection and interpretation efforts in the geosciences, we have developed methods of interactive visualization, with a special focus on immersive virtual reality (VR) environments. Earth sciences employ a strongly visual approach to the measurement and analysis of geologic data due to the spatial and temporal scales over which such data ranges, As observations and simulations increase in size and complexity, the Earth sciences are challenged to manage and interpret increasing amounts of data. Reaping the full intellectual benefits of immersive VR requires us to tailor exploratory approaches to scientific problems. These applications build on the visualization method's strengths, using both 3D perception and interaction with data and models, to take advantage of the skills and training of the geological scientists exploring their data in the VR environment. This interactive approach has enabled us to develop a suite of tools that are adaptable to a range of problems in the geosciences and beyond. Copyright ?? 2008 by the Association for Computing Machinery, Inc.

  16. Barriers and enablers to academic health leadership.

    Science.gov (United States)

    Bharwani, Aleem; Kline, Theresa; Patterson, Margaret; Craighead, Peter

    2017-02-06

    Purpose This study sought to identify the barriers and enablers to leadership enactment in academic health-care settings. Design/methodology/approach Semi-structured interviews ( n = 77) with programme stakeholders (medical school trainees, university leaders, clinical leaders, medical scientists and directors external to the medical school) were conducted, and the responses content-analysed. Findings Both contextual and individual factors were identified as playing a role in affecting academic health leadership enactment that has an impact on programme development, success and maintenance. Contextual factors included sufficient resources allocated to the programme, opportunities for learners to practise leadership skills, a competent team around the leader once that person is in place, clear expectations for the leader and a culture that fosters open communication. Contextual barriers included highly bureaucratic structures, fear-of-failure and non-trusting cultures and inappropriate performance systems. Programmes were advised to select participants based on self-awareness, strong communication skills and an innovative thinking style. Filling specific knowledge and skill gaps, particularly for those not trained in medical school, was viewed as essential. Ineffective decision-making styles and tendencies to get involved in day-to-day activities were barriers to the development of academic health leaders. Originality/value Programmes designed to develop academic health-care leaders will be most effective if they develop leadership at all levels; ensure that the organisation's culture, structure and processes reinforce positive leadership practices; and recognise the critical role of teams in supporting its leaders.

  17. Multimode Communication Protocols Enabling Reconfigurable Radios

    Directory of Open Access Journals (Sweden)

    Berlemann Lars

    2005-01-01

    Full Text Available This paper focuses on the realization and application of a generic protocol stack for reconfigurable wireless communication systems. This focus extends the field of software-defined radios which usually concentrates on the physical layer. The generic protocol stack comprises common protocol functionality and behavior which are extended through specific parts of the targeted radio access technology. This paper considers parameterizable modules of basic protocol functions residing in the data link layer of the ISO/OSI model. System-specific functionality of the protocol software is realized through adequate parameterization and composition of the generic modules. The generic protocol stack allows an efficient realization of reconfigurable protocol software and enables a completely reconfigurable wireless communication system. It is a first step from side-by-side realized, preinstalled modes in a terminal towards a dynamic reconfigurable anymode terminal. The presented modules of the generic protocol stack can also be regarded as a toolbox for the accelerated and cost-efficient development of future communication protocols.

  18. Enabling electroweak baryogenesis through dark matter

    Energy Technology Data Exchange (ETDEWEB)

    Lewicki, Marek [Institute of Theoretical Physics, Faculty of Physics, University of Warsaw,ul. Pasteura 5, 02-093 Warsaw (Poland); Department of Physics and Michigan Center for Theoretical Physics, University of Michigan,450 Church St., Ann Arbor, MI 48109 (United States); Rindler-Daller, Tanja [Department of Physics and Michigan Center for Theoretical Physics, University of Michigan,450 Church St., Ann Arbor, MI 48109 (United States); Institut für Astrophysik, Universitätssternwarte Wien, University of Vienna,Türkenschanzstr. 17, 1180 Vienna (Austria); Wells, James D. [Department of Physics and Michigan Center for Theoretical Physics, University of Michigan,450 Church St., Ann Arbor, MI 48109 (United States)

    2016-06-09

    We study the impact on electroweak baryogenesis from a swifter cosmological expansion induced by dark matter. We detail the experimental bounds that one can place on models that realize it, and we investigate the modifications of these bounds that result from a non-standard cosmological history. The modifications can be sizeable if the expansion rate of the Universe increases by several orders of magnitude. We illustrate the impact through the example of scalar field dark matter, which can alter the cosmological history enough to enable a strong-enough first-order phase transition in the Standard Model when it is supplemented by a dimension six operator directly modifying the Higgs boson potential. We show that due to the modified cosmological history, electroweak baryogenesis can be realized, while keeping deviations of the triple Higgs coupling below HL-LHC sensitivies. The required scale of new physics to effectuate a strong-enough first order phase transition can change by as much as twenty percent as the expansion rate increases by six orders of magnitude.

  19. Smart sensors enable smart air conditioning control.

    Science.gov (United States)

    Cheng, Chin-Chi; Lee, Dasheng

    2014-06-24

    In this study, mobile phones, wearable devices, temperature and human motion detectors are integrated as smart sensors for enabling smart air conditioning control. Smart sensors obtain feedback, especially occupants' information, from mobile phones and wearable devices placed on human body. The information can be used to adjust air conditioners in advance according to humans' intentions, in so-called intention causing control. Experimental results show that the indoor temperature can be controlled accurately with errors of less than ±0.1 °C. Rapid cool down can be achieved within 2 min to the optimized indoor capacity after occupants enter a room. It's also noted that within two-hour operation the total compressor output of the smart air conditioner is 48.4% less than that of the one using On-Off control. The smart air conditioner with wearable devices could detect the human temperature and activity during sleep to determine the sleeping state and adjusting the sleeping function flexibly. The sleeping function optimized by the smart air conditioner with wearable devices could reduce the energy consumption up to 46.9% and keep the human health. The presented smart air conditioner could provide a comfortable environment and achieve the goals of energy conservation and environmental protection.

  20. Smart Sensors Enable Smart Air Conditioning Control

    Directory of Open Access Journals (Sweden)

    Chin-Chi Cheng

    2014-06-01

    Full Text Available In this study, mobile phones, wearable devices, temperature and human motion detectors are integrated as smart sensors for enabling smart air conditioning control. Smart sensors obtain feedback, especially occupants’ information, from mobile phones and wearable devices placed on human body. The information can be used to adjust air conditioners in advance according to humans’ intentions, in so-called intention causing control. Experimental results show that the indoor temperature can be controlled accurately with errors of less than ±0.1 °C. Rapid cool down can be achieved within 2 min to the optimized indoor capacity after occupants enter a room. It’s also noted that within two-hour operation the total compressor output of the smart air conditioner is 48.4% less than that of the one using On-Off control. The smart air conditioner with wearable devices could detect the human temperature and activity during sleep to determine the sleeping state and adjusting the sleeping function flexibly. The sleeping function optimized by the smart air conditioner with wearable devices could reduce the energy consumption up to 46.9% and keep the human health. The presented smart air conditioner could provide a comfortable environment and achieve the goals of energy conservation and environmental protection.

  1. Enabling technologies for autonomous MAV operations

    Science.gov (United States)

    Elbanhawi, M.; Mohamed, A.; Clothier, R.; Palmer, J. L.; Simic, M.; Watkins, S.

    2017-05-01

    The utility of micro air vehicles (MAVs) has expanded significantly in the last decade, and there are now numerous commercial systems available at relatively low cost. This expansion has arisen mainly due to the miniaturisation of flight control systems and advances in energy storage and propulsion technologies. Several emerging applications involve routine operation of MAVs in complex urban environments such as parcel delivery, communications relay and environmental monitoring. However, MAVs currently rely on one or more operators-in-the-loop and, whilst desirable, full autonomous operation has not yet been achieved. In this review paper, autonomous MAV operation in complex environments is explored with conceptualisation for future MAV operation in urban environments. Limitations of current technologies are systematically examined through consideration of the state-of-the-art and future trends. The main limitations challenging the realisation of fully autonomous MAVs are mainly attributed to: computational power, communication and energy storage. These limitations lead to poor sensing and planning capabilities, which are essential components of autonomous MAVs. Possible solutions are explored with goal of enabling MAVs to reliably operate autonomously in urban environments.

  2. Enabling Process Alignment for IT Entrepreneurship

    Directory of Open Access Journals (Sweden)

    Sonia D. Bot

    2012-11-01

    Full Text Available All firms use information technology (IT. Larger firms have IT organizations whose business function is to supply and manage IT infrastructure and applications to support the firm's business objectives. Regardless of whether the IT function has been outsourced or is resident within a firm, the objectives of the IT organization must be aligned to the strategic needs of the business. It is often a challenge to balance the demand for IT against the available supply within the firm. Most IT organizations have little capacity to carry out activities that go beyond the incremental ones that are needed to run the immediate needs of the business. A process-ambidexterity framework for IT improves the IT organization's entrepreneurial ability, which in turn, better aligns the IT function with the business functions in the firm. Process ambidexterity utilizes both process alignment and process adaptability. This article presents a framework for process alignment in IT. This is useful for understanding how the processes in Business Demand Management, a core component of the process-ambidexterity framework for IT, relate to those in IT Governance and IT Supply Chain Management. The framework is presented through three lenses (governance, business, and technology along with real-world examples from major firms in the USA. Enabling process alignment in the IT function, and process ambidexterity overall, benefits those who govern IT, the executives who lead IT, as well as their peers in the business functions that depend on IT.

  3. Enabling students to make investigations through spreadsheets

    Directory of Open Access Journals (Sweden)

    Erol - KARAKIRIK

    2015-01-01

    Full Text Available Spreadsheets are widely used in education to save time and simulate many scenarios in many different disciplines. However, they are not usually employed to provide rich interactions in the class although they provide huge computational powers and relate data in different places. It is argued in this paper that spreadsheets could also be used as an empowering tool for making inferences in the class by enabling students to investigate an open-ended problem, to make discussions about the problem and to share their results by turning a spreadsheet into an empowering tool. Constructivist approach requires students make conjectures and test them through cognitive tools provided such as Dynamic geometry environments. User could be required to investigate an open-ended problem by the help of available macros or templates provided by the instructor in a spreadsheet. It not only motivates the user to participate in the class but also make them think about the problem at hand. Our approach is exemplified through macros prepared for a math class and divisibility features of binomial coefficients were investigated through spreadsheets in this paper.

  4. Internet-enabled continuous geodetic reference station

    Science.gov (United States)

    Snow, R.; Dokka, R.

    2003-04-01

    Until recently, real-time geodesy through the Internet using geodetic GPS receivers has required either a co-located PC or a device server to convert serial data to IP. The Internet-enabled Continuous Geodetic Reference System (iCGRS) from Thales Navigation eliminates this requirement, thus saving up to 35 Watts per site. The user assigns a static IP address to the receiver and can thereafter communicate with the iCGRS through a web browser. The iCGRS supports streaming of GPS data in either BINEX or proprietary formats to up to five IP sockets, which can be either servers or clients. It can also stream RTCM corrections to these same sockets. The iCGRS can also automatically push session files to an FTP site simultaneously with the streaming of data. Sessions can be as short as 15 minutes or as long as 24 hours. Because the iCGRS significantly simplifies the communication equipment requirements for real-time geodesy, Louisiana State University has selected it for the backbone of the Louisiana Spatial Reference Center network. Fourteen iCGRS units will be installed statewide for multiple purposes, including Continuous Operating Reference Stations (CORS), subsidence monitoring and the streaming of RTCM corrections through the Internet.

  5. Nanomaterial-enabled membranes for water treatment

    Science.gov (United States)

    Rogensues, Adam Roy

    Incorporating engineered nanomaterials as components of synthetic membranes can improve their separation performance and endow membranes with additional functions. This work explores two approaches to the design of membranes modified with nanomaterials. In the first chapter, exfoliated graphite nanoplatelets (xGnP) decorated with gold nanoparticles were embedded in a polysulfone matrix to fabricate phase inversion nanocomposite membranes. The cast membranes were evaluated as flow-through membrane reactors in experiments on the catalytic reduction of 4-nitrophenol. The nanocomposite membranes were not as catalytically efficient as those fabricated by modifying anodized alumina membranes polyelectrolyte multilayers (PEMs) containing gold nanoparticles. However, because of the facility of membrane casting by phase inversion and new opportunities enabled by the demonstrated hierarchy-based approach to nanocomposite membrane design, such membrane may hold commercial promise. In the second part of the study, the practicability of PEM-based nanofiltration was evaluated under conditions of precipitative fouling (i.e. scaling) by calcium sulfate. Polyelectrolytes were deposited onto 50 kDa polyethersulfone membranes to create PEM-based nanofiltration membranes. The prepared membranes were compared with the commercial NF270 membrane in terms of flux and rejection performance, as well as the morphology of gypsum crystals formed on the membrane surface. None of the PEM coatings tested inhibited scale formation.

  6. Enabler for the agile virtual enterprise

    Science.gov (United States)

    Fuerst, Karl; Schmidt, Thomas; Wippel, Gerald

    2001-10-01

    In this presentation, a new approach for a flexible low-cost Internet extended enterprise (project FLoCI-EE) will be presented. FLoCI-EE is a project in the fifth framework program of the European commission with 8 partners from 4 countries, which started in January 2001 and will be finished in December 2003. The main objective of FLoCI-EE is the development of a software prototype, which enables flexible enterprise cooperation with the aim to design, manufacture and sell products commonly, independent of enterprise borderlines. The needed IT-support includes functions of product data management (PDM), enterprise resource planning (ERP), supply chain management (SCM) and customer relationship management (CRM). Especially for small and medium sized enterprises, existing solutions are too expensive and inflexible to be of use under current turbulent market conditions. The second part of this paper covers the item Web Services, because in the role-specific support approach of FLoCI-EE, there are user- interface-components, which are tailored for specific roles in an enterprise. These components integrate automatically the services of the so-called basic-components, and the externally offered Web Services like UDDI.

  7. Reflections on the global burden of disease 2010 estimates

    DEFF Research Database (Denmark)

    Byass, Peter; de Courten, Maximilian; Graham, Wendy J

    2013-01-01

    Peter Byass and colleagues raise questions about the recent, high-profile Global Burden of Disease estimates. Please see later in the article for the Editors' Summary.......Peter Byass and colleagues raise questions about the recent, high-profile Global Burden of Disease estimates. Please see later in the article for the Editors' Summary....

  8. Estimating fractional rate of NDF degradation from in vivo digestibility

    DEFF Research Database (Denmark)

    Weisbjerg, Martin Riis; Søegaard, Karen; Lund, Peter

    2007-01-01

    Fractional rate of degradation (kd) of potential degradable NDF (dNDF) was estimated based on in situ degradation profiles.......Fractional rate of degradation (kd) of potential degradable NDF (dNDF) was estimated based on in situ degradation profiles....

  9. Enabling a Scientific Cloud Marketplace: VGL (Invited)

    Science.gov (United States)

    Fraser, R.; Woodcock, R.; Wyborn, L. A.; Vote, J.; Rankine, T.; Cox, S. J.

    2013-12-01

    The Virtual Geophysics Laboratory (VGL) provides a flexible, web based environment where researchers can browse data and use a variety of scientific software packaged into tool kits that run in the Cloud. Both data and tool kits are published by multiple researchers and registered with the VGL infrastructure forming a data and application marketplace. The VGL provides the basic work flow of Discovery and Access to the disparate data sources and a Library for tool kits and scripting to drive the scientific codes. Computation is then performed on the Research or Commercial Clouds. Provenance information is collected throughout the work flow and can be published alongside the results allowing for experiment comparison and sharing with other researchers. VGL's "mix and match" approach to data, computational resources and scientific codes, enables a dynamic approach to scientific collaboration. VGL allows scientists to publish their specific contribution, be it data, code, compute or work flow, knowing the VGL framework will provide other components needed for a complete application. Other scientists can choose the pieces that suit them best to assemble an experiment. The coarse grain workflow of the VGL framework combined with the flexibility of the scripting library and computational toolkits allows for significant customisation and sharing amongst the community. The VGL utilises the cloud computational and storage resources from the Australian academic research cloud provided by the NeCTAR initiative and a large variety of data accessible from national and state agencies via the Spatial Information Services Stack (SISS - http://siss.auscope.org). VGL v1.2 screenshot - http://vgl.auscope.org

  10. Integrated and Intelligent Manufacturing: Perspectives and Enablers

    Directory of Open Access Journals (Sweden)

    Yubao Chen

    2017-10-01

    Full Text Available With ever-increasing market competition and advances in technology, more and more countries are prioritizing advanced manufacturing technology as their top priority for economic growth. Germany announced the Industry 4.0 strategy in 2013. The US government launched the Advanced Manufacturing Partnership (AMP in 2011 and the National Network for Manufacturing Innovation (NNMI in 2014. Most recently, the Manufacturing USA initiative was officially rolled out to further “leverage existing resources... to nurture manufacturing innovation and accelerate commercialization” by fostering close collaboration between industry, academia, and government partners. In 2015, the Chinese government officially published a 10-year plan and roadmap toward manufacturing: Made in China 2025. In all these national initiatives, the core technology development and implementation is in the area of advanced manufacturing systems. A new manufacturing paradigm is emerging, which can be characterized by two unique features: integrated manufacturing and intelligent manufacturing. This trend is in line with the progress of industrial revolutions, in which higher efficiency in production systems is being continuously pursued. To this end, 10 major technologies can be identified for the new manufacturing paradigm. This paper describes the rationales and needs for integrated and intelligent manufacturing (i2M systems. Related technologies from different fields are also described. In particular, key technological enablers, such as the Internet of Things and Services (IoTS, cyber-physical systems (CPSs, and cloud computing are discussed. Challenges are addressed with applications that are based on commercially available platforms such as General Electric (GE’s Predix and PTC’s ThingWorx.

  11. "Nanotechnology Enabled Advanced Industrial Heat Transfer Fluids"

    Energy Technology Data Exchange (ETDEWEB)

    Dr. Ganesh Skandan; Dr. Amit Singhal; Mr. Kenneth Eberts; Mr. Damian Sobrevilla; Prof. Jerry Shan; Stephen Tse; Toby Rossmann

    2008-06-12

    ABSTRACT Nanotechnology Enabled Advanced industrial Heat Transfer Fluids” Improving the efficiency of Industrial Heat Exchangers offers a great opportunity to improve overall process efficiencies in diverse industries such as pharmaceutical, materials manufacturing and food processing. The higher efficiencies can come in part from improved heat transfer during both cooling and heating of the material being processed. Additionally, there is great interest in enhancing the performance and reducing the weight of heat exchangers used in automotives in order to increase fuel efficiency. The goal of the Phase I program was to develop nanoparticle containing heat transfer fluids (e.g., antifreeze, water, silicone and hydrocarbon-based oils) that are used in transportation and in the chemical industry for heating, cooling and recovering waste heat. Much work has been done to date at investigating the potential use of nanoparticle-enhanced thermal fluids to improve heat transfer in heat exchangers. In most cases the effect in a commercial heat transfer fluid has been marginal at best. In the Phase I work, we demonstrated that the thermal conductivity, and hence heat transfer, of a fluid containing nanoparticles can be dramatically increased when subjected to an external influence. The increase in thermal conductivity was significantly larger than what is predicted by commonly used thermal models for two-phase materials. Additionally, the surface of the nanoparticles was engineered so as to have a minimal influence on the viscosity of the fluid. As a result, a nanoparticle-laden fluid was successfully developed that can lead to enhanced heat transfer in both industrial and automotive heat exchangers

  12. Cusps enable line attractors for neural computation

    Science.gov (United States)

    Xiao, Zhuocheng; Zhang, Jiwei; Sornborger, Andrew T.; Tao, Louis

    2017-11-01

    Line attractors in neuronal networks have been suggested to be the basis of many brain functions, such as working memory, oculomotor control, head movement, locomotion, and sensory processing. In this paper, we make the connection between line attractors and pulse gating in feed-forward neuronal networks. In this context, because of their neutral stability along a one-dimensional manifold, line attractors are associated with a time-translational invariance that allows graded information to be propagated from one neuronal population to the next. To understand how pulse-gating manifests itself in a high-dimensional, nonlinear, feedforward integrate-and-fire network, we use a Fokker-Planck approach to analyze system dynamics. We make a connection between pulse-gated propagation in the Fokker-Planck and population-averaged mean-field (firing rate) models, and then identify an approximate line attractor in state space as the essential structure underlying graded information propagation. An analysis of the line attractor shows that it consists of three fixed points: a central saddle with an unstable manifold along the line and stable manifolds orthogonal to the line, which is surrounded on either side by stable fixed points. Along the manifold defined by the fixed points, slow dynamics give rise to a ghost. We show that this line attractor arises at a cusp catastrophe, where a fold bifurcation develops as a function of synaptic noise; and that the ghost dynamics near the fold of the cusp underly the robustness of the line attractor. Understanding the dynamical aspects of this cusp catastrophe allows us to show how line attractors can persist in biologically realistic neuronal networks and how the interplay of pulse gating, synaptic coupling, and neuronal stochasticity can be used to enable attracting one-dimensional manifolds and, thus, dynamically control the processing of graded information.

  13. Mode choice model parameters estimation

    OpenAIRE

    Strnad, Irena

    2010-01-01

    The present work focuses on parameter estimation of two mode choice models: multinomial logit and EVA 2 model, where four different modes and five different trip purposes are taken into account. Mode choice model discusses the behavioral aspect of mode choice making and enables its application to a traffic model. Mode choice model includes mode choice affecting trip factors by using each mode and their relative importance to choice made. When trip factor values are known, it...

  14. Enabling Technologies for Cognitive Optical Networks

    DEFF Research Database (Denmark)

    Borkowski, Robert

    : the first experimental demonstration of the use of case-based reasoning technique in optical communication network for successful quality of transmission estimation in an optical link; cognitively controlled erbium-doped fiber amplifiers to ensure below forward error correction limit performance of all...... transmitted channels; reconfigurable coherent software-defined receiver supporting various modulation formats and bit rates; experimental evaluation of required optical signal-to-noise ratio for flexible elastic optical networks with mixed modulation formats; evaluation of various prefilter shapes for high...... symbol rate software-defined transmitters. Furthermore, by using the DSP capabilities of a coherent software-defined receiver combined with powerful machine learning methods, optical performance monitoring techniques for next generation networks were conceived, implemented, and tested by numerical...

  15. PC and monitor night status: Power management enabling and manual turn-off

    Energy Technology Data Exchange (ETDEWEB)

    Nordman, Bruce; Meier, Alan; Piette, Mary Ann

    1998-07-30

    While office equipment accounts for about 7 percent of commercial building energy use, this reflects considerable energy savings from the use of automatic power management. Most of these savings were gained through the use of low-power modes that meet the criteria of the U.S. EPA's Energy Star program. Despite this success, there are large amounts of additional savings that could be gained if all equipment capable of power management use were enabled and functioning. A considerable portion of equipment is not enabled for power management at all, enabled only partially, or is enabled but prevented from functioning. Additional savings could be gained if more equipment were turned off at night manually. We compiled results from 17 studies from the office equipment literature addressing PCs and monitors. Some factors important for annual energy use, such as power levels, have been documented elsewhere and are not covered. We review methods for estimating office equipment use patterns and energy use, and present findings on night status--power management and manual turn-off rates. In early studies, PC power management was often found to function in 25 percent or less of the Energy Star compliant units (10 percent of all PCs). However, recent assessments have found higher rates, and we estimate that for Energy Star models, 35 percent of PC CPUs and 65 percent of PC monitors are enabled for power management. While the data lack statistical rigor, they can be used to estimate the magnitude of current and potential power management savings, which we did for major types of office equipment. The data also make clear that the topic of enabling rates, and the factors which influence them, deserve greater scrutiny.

  16. Bioblendstocks that Enable High Efficiency Engine Designs

    Energy Technology Data Exchange (ETDEWEB)

    McCormick, Robert L.; Fioroni, Gina M.; Ratcliff, Matthew A.; Zigler, Bradley T.; Farrell, John

    2016-11-03

    The past decade has seen a high level of innovation in production of biofuels from sugar, lipid, and lignocellulose feedstocks. As discussed in several talks at this workshop, ethanol blends in the E25 to E50 range could enable more highly efficient spark-ignited (SI) engines. This is because of their knock resistance properties that include not only high research octane number (RON), but also charge cooling from high heat of vaporization, and high flame speed. Emerging alcohol fuels such as isobutanol or mixed alcohols have desirable properties such as reduced gasoline blend vapor pressure, but also have lower RON than ethanol. These fuels may be able to achieve the same knock resistance benefits, but likely will require higher blend levels or higher RON hydrocarbon blendstocks. A group of very high RON (>150) oxygenates such as dimethyl furan, methyl anisole, and related compounds are also produced from biomass. While providing no increase in charge cooling, their very high octane numbers may provide adequate knock resistance for future highly efficient SI engines. Given this range of options for highly knock resistant fuels there appears to be a critical need for a fuel knock resistance metric that includes effects of octane number, heat of vaporization, and potentially flame speed. Emerging diesel fuels include highly branched long-chain alkanes from hydroprocessing of fats and oils, as well as sugar-derived terpenoids. These have relatively high cetane number (CN), which may have some benefits in designing more efficient CI engines. Fast pyrolysis of biomass can produce diesel boiling range streams that are high in aromatic, oxygen and acid contents. Hydroprocessing can be applied to remove oxygen and consequently reduce acidity, however there are strong economic incentives to leave up to 2 wt% oxygen in the product. This oxygen will primarily be present as low CN alkyl phenols and aryl ethers. While these have high heating value, their presence in diesel fuel

  17. Hydrologic Prediction Through Earthcube Enabled Hydrogeophysical Cyberinfrastructure

    Science.gov (United States)

    Versteeg, R. J.; Johnson, D.

    2012-12-01

    to "develop a framework to understand and predict responses of the Earth as a system— from the space-atmosphere boundary to the core, including the influences of humans and ecosystems." Effective development of hydrologic prediction tools will require the hydrogeophysical community to engage in and become conversant with the cyberinfrastructure community. In my presentation I will provide several examples of how such tools could look like, and what some of the opportunities are for getting this engagement going and develop cyberinfrastructure enabled hydrologic prediction tools.

  18. Unsupervised Power Profiling for Mobile Devices

    DEFF Research Database (Denmark)

    Kjærgaard, Mikkel Baun; Blunck, Henrik

    2011-01-01

    Today, power consumption is a main limitation for mobile phones. To minimize the power consumption of popular and traditionally power-hungry location-based services requires knowledge of how individual phone features consume power, so that those features can be utilized intelligently for optimal...... power savings while at the same time maintaining good quality of service. This paper proposes an unsupervised API-level method for power profiling mobile phones based on genetic algorithms. The method enables accurate profiling of the power consumption of devices and thereby provides the information...

  19. Unsupervised Power Profiling for Mobile Devices

    DEFF Research Database (Denmark)

    Kjærgaard, Mikkel Baun; Blunck, Henrik

    Today, power consumption is a main limitation for mobile phones. To minimize the power consumption of popular and traditionally power-hungry location-based services requires knowledge of how individual phone features consume power, so that those features can be utilized intelligently for optimal...... power savings while at the same time maintaining good quality of service. This paper proposes an unsupervised API-level method for power profiling mobile phones based on genetic algorithms. The method enables accurate profiling of the power consumption of devices and thereby provides the information...

  20. Exploring the role of leadership in enabling contextual ambidexterity

    NARCIS (Netherlands)

    Havermans, L.A.; Den Hartog, D.N.; Keegan, A.E.; Uhl-Bien, M.

    2015-01-01

    Sustainable success calls for contextually ambidextrous organizing. According to theory, this entails enabling simultaneous high levels of exploration and exploitation within a subsystem. The practices involved in enabling contextual ambidexterity form a major and relatively unexplored leadership

  1. Enabling interoperability in Geoscience with GI-suite

    Science.gov (United States)

    Boldrini, Enrico; Papeschi, Fabrizio; Santoro, Mattia; Nativi, Stefano

    2015-04-01

    make their content available (for discovery and/or access) through specific service interfaces. The GI-conf web tool can be used to easily configure GI-suite. By enabling specific accessors and profilers, as well as many other settings, GI-suite can be tailored to the desired use scenario. Moreover, thanks to its flexible architecture, GI-suite can be easily extended to support a new standard or implementation: a Java Development Kit is available to help development of new extensions (e.g. a new accessor component).

  2. Global Estimates of PBL Depth from Space-Borne LIDAR

    Science.gov (United States)

    McGrath-Spangler, Erica lynn; Denning, S.; Molod, A.; Ott, L.

    2012-01-01

    The planetary boundary layer (PBL) is responsible for communicating the exchange of energy, moisture, momentum, pollutants, and aerosols between the surface and the free atmosphere and is therefore crucial to many studies of the atmosphere. Unfortunately, there have historically been few observations of this important layer due to the complexity involved in its measurement. However, with the advent of more advanced satellites, global measurements of the PBL are now becoming possible. The PBL is often characterized by a high concentration of aerosols within the layer and low level clouds capping it and these are observable from space. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite was launched in 2006 with the intention of observing aerosols and clouds and was the first space-based LIDAR optimized for this purpose. CALIPSO observations are therefore well suited to observing the depth of the PBL. Since it was launched, CALIPSO has been making nearly continuous measurements enabling a global picture of PBL depth. We plan to present a global PBL depth product and how it evolves throughout the year. The product is able to identify deeper PBL depths in the summer hemisphere over land and deeper depths along the northern hemisphere oceanic storm tracks in winter associated with cold air traveling over warm water. Large seasonal cycles are also evident in the subtropical desert locations among other features. In addition, comparisons will be made between several estimates of PBL depth based on turbulent intensity, meteorology profiles, and aerosol profiles from the GEOS5 model.

  3. Enabling Incremental Query Re-Optimization

    Science.gov (United States)

    Liu, Mengmeng; Ives, Zachary G.; Loo, Boon Thau

    2017-01-01

    As declarative query processing techniques expand to the Web, data streams, network routers, and cloud platforms, there is an increasing need to re-plan execution in the presence of unanticipated performance changes. New runtime information may affect which query plan we prefer to run. Adaptive techniques require innovation both in terms of the algorithms used to estimate costs, and in terms of the search algorithm that finds the best plan. We investigate how to build a cost-based optimizer that recomputes the optimal plan incrementally given new cost information, much as a stream engine constantly updates its outputs given new data. Our implementation especially shows benefits for stream processing workloads. It lays the foundations upon which a variety of novel adaptive optimization algorithms can be built. We start by leveraging the recently proposed approach of formulating query plan enumeration as a set of recursive datalog queries; we develop a variety of novel optimization approaches to ensure effective pruning in both static and incremental cases. We further show that the lessons learned in the declarative implementation can be equally applied to more traditional optimizer implementations. PMID:28659658

  4. Technical solutions to enable embedded generation growth

    Energy Technology Data Exchange (ETDEWEB)

    Lynch, C.A.; Todd, S.; Millar, W.; Wood, H.S.

    2003-07-01

    This report describes the results of one of a series of studies commissioned by the UK Department of Trade and Industry into various aspects of embedded generation with the aim of supporting the development and deployment of electrical sources (particularly their ease of connection to the network) to deliver power to consumers. The first phase of the project involved a literature review and meetings with embedded generation developers and planning engineers from distribution network operators (DNOs). The second phase investigated embedded generation at different levels of the distribution network and included modelling a representative network. Technologies that could facilitate a significant increase in embedded generation were identified and estimates made of when and where significant development would be needed. Technical problems identified by DNOs were concerned with thermal loading, voltage regulation, fault levels, protection and network operation. A number of non-technical (commercial and regulatory) problems were also identified. The report describes the UK regulatory framework, the present situation, the British power system, the accommodation of embedded generation by established means, the representative model and technical innovations.

  5. Enabling Incremental Query Re-Optimization.

    Science.gov (United States)

    Liu, Mengmeng; Ives, Zachary G; Loo, Boon Thau

    2016-01-01

    As declarative query processing techniques expand to the Web, data streams, network routers, and cloud platforms, there is an increasing need to re-plan execution in the presence of unanticipated performance changes. New runtime information may affect which query plan we prefer to run. Adaptive techniques require innovation both in terms of the algorithms used to estimate costs , and in terms of the search algorithm that finds the best plan. We investigate how to build a cost-based optimizer that recomputes the optimal plan incrementally given new cost information, much as a stream engine constantly updates its outputs given new data. Our implementation especially shows benefits for stream processing workloads. It lays the foundations upon which a variety of novel adaptive optimization algorithms can be built. We start by leveraging the recently proposed approach of formulating query plan enumeration as a set of recursive datalog queries ; we develop a variety of novel optimization approaches to ensure effective pruning in both static and incremental cases. We further show that the lessons learned in the declarative implementation can be equally applied to more traditional optimizer implementations.

  6. Enabling global collaborations through policy engagement and CMS applications

    Science.gov (United States)

    Escobar, V. M.; Sepulveda Carlo, E.; Delgado Arias, S.

    2015-12-01

    Different spatial scales prompt different discussions among carbon data stakeholders. NASA's Carbon Monitoring System (CMS) initiative has enabled collaboration opportunities with stakeholders whose data needs and requirements are unique to the spatial scope of their work: from county to the international scale. At the very local level, the Sonoma County Agricultural Preservation and Open Space District leverages CMS high-resolution biomass estimates to develop a Monitoring, Reporting, and Verification (MRV) system in support of the District's 10-year land stewardship plan and the California's Global Warming Solutions Act (AB32). On the eastern coast, at the state level, the Maryland Department of Natural Resources utilizes the same high-resolution biomass estimates on a larger scale to better strategize in achieving the goal of 40% canopy cover statewide by 2020. At a regional scale that encompasses the three states of Maryland, Delaware, and Pennsylvania, LiDAR data collection of the Chesapeake Bay watershed dominate the stakeholder discussions. By collaborating with the U.S. Geological Survey's 3-D Elevation Program (3DEP), high-resolution LiDAR data will fill critical data gaps to help implement watershed protection strategies such as increasing riparian forest buffers to reduce runoff. Outside of the U.S., the World Resources Institute seeks to harness CMS reforestation products and technical expertise in addressing land restoration priorities specific to each Latin American country. CMS applications efforts expand beyond forest carbon examples discussed above to include carbon markets, ocean acidification, national greenhouse gas inventory, and wetlands. The broad array of case studies and lessons learned through CMS Applications in scaling carbon science for policy development at different spatial scales is providing unique opportunities that leverage science through policy needs.

  7. Enabling performance measurement in a small professional service firm

    NARCIS (Netherlands)

    Groen, B.A.C.; van de Belt, M.; Wilderom, C.P.M.

    2012-01-01

    Purpose - Showing why developing an enabling PMS can be useful to small PSFs and how small PSFs can develop such an enabling PMS. Design/methodology/approach - We used a process-consultation type of action research design. We developed an enabling PMS in close cooperation with the employees of a

  8. Direct and indirect effects of enablers on HIV testing, initiation and retention in antiretroviral treatment and AIDS related mortality.

    Directory of Open Access Journals (Sweden)

    Ali Safarnejad

    Full Text Available An enabling environment is believed to have significant and critical effects on HIV and AIDS program implementation and desired outcomes. This paper estimates the paths, directionality, and direct and indirect associations between critical enablers with antiretroviral treatment (ART coverage and to AIDS-related mortality.Frameworks that consider the role of enablers in HIV and AIDS programs were systematically reviewed to develop a conceptual model of interaction. Measurements for constructs of the model were pooled from the latest publicly available data. A hypothetical model, including latent/unobserved factors and interaction of enablers, program activities and outcomes, was analyzed cross-sectionally with structural equation modeling. Coefficients of the model were used to estimate the indirect associations of enablers to treatment coverage and the subsequent associated impact on AIDS related mortality.The model's fit was adequate (RMSEA = 0·084, 90% CI [0·062, 0·104] and the indirect effects of enablers on outcomes were measured. Enablers having significant associations with increased ART coverage were social/financial protection, governance, anti-discrimination, gender equality, domestic AIDS spending, testing service delivery, and logistics.Critical enablers are significantly correlated to outcomes like ART coverage and AIDS related mortality. Even while this model does not allow inference on causality, it provides directionality and magnitude of the significant associations.

  9. Direct and indirect effects of enablers on HIV testing, initiation and retention in antiretroviral treatment and AIDS related mortality.

    Science.gov (United States)

    Safarnejad, Ali; Izazola-Licea, Jose-Antonio

    2017-01-01

    An enabling environment is believed to have significant and critical effects on HIV and AIDS program implementation and desired outcomes. This paper estimates the paths, directionality, and direct and indirect associations between critical enablers with antiretroviral treatment (ART) coverage and to AIDS-related mortality. Frameworks that consider the role of enablers in HIV and AIDS programs were systematically reviewed to develop a conceptual model of interaction. Measurements for constructs of the model were pooled from the latest publicly available data. A hypothetical model, including latent/unobserved factors and interaction of enablers, program activities and outcomes, was analyzed cross-sectionally with structural equation modeling. Coefficients of the model were used to estimate the indirect associations of enablers to treatment coverage and the subsequent associated impact on AIDS related mortality. The model's fit was adequate (RMSEA = 0·084, 90% CI [0·062, 0·104]) and the indirect effects of enablers on outcomes were measured. Enablers having significant associations with increased ART coverage were social/financial protection, governance, anti-discrimination, gender equality, domestic AIDS spending, testing service delivery, and logistics. Critical enablers are significantly correlated to outcomes like ART coverage and AIDS related mortality. Even while this model does not allow inference on causality, it provides directionality and magnitude of the significant associations.

  10. Updating Labelling Theory: Normalizing but not Enabling

    Directory of Open Access Journals (Sweden)

    Thomas Scheff

    2017-04-01

    Full Text Available Normal 0 21 false false false NO-BOK X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Vanlig tabell"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} In modern societies we often make judgements of certain kinds of behaviour that are virtually automatic: delusions show that one is crazy, wrong answers show that one is ignorant, and so on. The theory of labelling/normalization suggests caution in making these judgements because of the effect they are likely to have on the social relationship, feelings of rejection and embarrassment. There is a social-emotional component in all human contact that can be managed independently of the content. Equal care is needed to avoid both labelling and enabling. Two extended and three brief concrete examples of normalizing are discussed. The social-emotional component seems to be critical in most relationships, both in psychotherapy and education, as suggested by the examples. Normal 0 21 false false false NO-BOK X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Vanlig tabell"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font

  11. Complexity Science Framework for Big Data: Data-enabled Science

    Science.gov (United States)

    Surjalal Sharma, A.

    2016-07-01

    The ubiquity of Big Data has stimulated the development of analytic tools to harness the potential for timely and improved modeling and prediction. While much of the data is available near-real time and can be compiled to specify the current state of the system, the capability to make predictions is lacking. The main reason is the basic nature of Big Data - the traditional techniques are challenged in their ability to cope with its velocity, volume and variability to make optimum use of the available information. Another aspect is the absence of an effective description of the time evolution or dynamics of the specific system, derived from the data. Once such dynamical models are developed predictions can be made readily. This approach of " letting the data speak for itself " is distinct from the first-principles models based on the understanding of the fundamentals of the system. The predictive capability comes from the data-derived dynamical model, with no modeling assumptions, and can address many issues such as causality and correlation. This approach provides a framework for addressing the challenges in Big Data, especially in the case of spatio-temporal time series data. The reconstruction of dynamics from time series data is based on recognition that in most systems the different variables or degrees of freedom are coupled nonlinearly and in the presence of dissipation the state space contracts, effectively reducing the number of variables, thus enabling a description of its dynamical evolution and consequently prediction of future states. The predictability is analysed from the intrinsic characteristics of the distribution functions, such as Hurst exponents and Hill estimators. In most systems the distributions have heavy tails, which imply higher likelihood for extreme events. The characterization of the probabilities of extreme events are critical in many cases e. g., natural hazards, for proper assessment of risk and mitigation strategies. Big Data with

  12. Exploration of Terminal Procedures Enabled by NASA Wake VAS Technologies

    Science.gov (United States)

    Lunsford, Clark R.; Smith, Arthur P., III; Cooper, Wayne W., Jr.; Mundra, Anand D.; Gross, Amy E.; Audenaerd, Laurence F.; Killian, Bruce E.

    2004-01-01

    The National Aeronautics and Space Administration (NASA) tasked The MITRE Corporation's Center for Advanced Aviation System Development (CAASD) to investigate potential air traffic control (ATC) procedures that could benefit from technology used or developed in NASA's Wake Vortex Advisory System (WakeVAS). The task also required developing an estimate of the potential benefits of the candidate procedures. The main thrust of the investigation was to evaluate opportunities for improved capacity and efficiency in airport arrival and departure operations. Other procedures that would provide safety enhancements were also considered. The purpose of this investigation was to provide input to the WakeVAS program office regarding the most promising areas of development for the program. A two-fold perspective was desired: First, identification of benefits from possible procedures enabled by both incremental components and the mature state of WakeVAS technology; second identification of procedures that could be expected to evolve from the current Federal Aviation Administration (FAA) procedures. The evolution of procedures should provide meaningful increments of benefit and a low risk implementation of the WakeVAS technologies.

  13. Application software profiles 2010

    Energy Technology Data Exchange (ETDEWEB)

    Anon.

    2010-04-15

    This article presented information on new software applications designed to facilitate petroleum exploration, drilling and production activities. Computer modelling and analysis enables oil and gas producers to characterize reservoirs, estimate reserves forecast production, plan operations and manage assets. Seven Calgary-based organizations were highlighted along with their sophisticated software tools, the applications and the new features available in each product. The geoSCOUT version 7.7 by GeoLOGIC Systems Ltd. integrates public and proprietary data on wells, well logs, reserves, pipelines, production, ownership and seismic location data. The Value Navigator and AFE Navigator by Energy Navigator provides control over reserves, production and cash flow forecasting. FAST Harmony, FAST Evolution, FAST CBM, FAST FieldNotes, Fast Piper, FAST RTA, FAST VirtuWell and FAST WellTest by Fekete Associates Inc. provide reserve evaluations for reservoir engineering projects and production data analysis. The esi.manage software program by 3esi improves business results for upstream oil and gas companies through enhanced decision making and workforce effectiveness. WELLFLO, PIPEFLO, FORGAS, OLGA, Drillbench, and MEPO wellbore solutions by Neotec provide unique platforms for flow simulation to optimize oil and gas production systems. Petrel, ECLIPSE, Avocet, PipeSim and Merak software tools by Schlumberger Information Solutions are petroleum systems modelling tools for geologic mapping, visualization modelling and reservoir engineering. StudioSL by Streamsim Technologies Inc. is a modelling tool for optimizing flood management. figs.

  14. UD-WCMA: An Energy Estimation and Forecast Scheme for Solar Powered Wireless Sensor Networks

    KAUST Repository

    Dehwah, Ahmad H.

    2017-04-11

    Energy estimation and forecast represents an important role for energy management in solar-powered wireless sensor networks (WSNs). In general, the energy in such networks is managed over a finite time horizon in the future based on input solar power forecasts to enable continuous operation of the WSNs and achieve the sensing objectives while ensuring that no node runs out of energy. In this article, we propose a dynamic version of the weather conditioned moving average technique (UD-WCMA) to estimate and predict the variations of the solar power in a wireless sensor network. The presented approach combines the information from the real-time measurement data and a set of stored profiles representing the energy patterns in the WSNs location to update the prediction model. The UD-WCMA scheme is based on adaptive weighting parameters depending on the weather changes which makes it flexible compared to the existing estimation schemes without any precalibration. A performance analysis has been performed considering real irradiance profiles to assess the UD-WCMA prediction accuracy. Comparative numerical tests to standard forecasting schemes (EWMA, WCMA, and Pro-Energy) shows the outperformance of the new algorithm. The experimental validation has proven the interesting features of the UD-WCMA in real time low power sensor nodes.

  15. GLL RPT IONOSPHERE PROFILES

    Data.gov (United States)

    National Aeronautics and Space Administration — The Galileo Radio Propagation Team Ionosphere Profile data set is small number of electron density profiles derived from radio occultation data collected while...

  16. GHGRP Industrial Profiles

    Science.gov (United States)

    EPA's Greenhouse Gas Reporting Program periodically produces detailed profiles of the various industries that report under the program. These profiles contain detailed analyses. This page hosts data highlights for all sectors.

  17. HOPWA Performance Profiles

    Data.gov (United States)

    Department of Housing and Urban Development — HOPWA Performance Profiles are generated quarterly for all agencies receiving HOPWA formula or competitive grants. Performance Profiles are available at the national...

  18. PROFILE DESIGN OF NONCIRCULAR BELT PULLEYS

    OpenAIRE

    Krawiec, Piotr; Marlewski, Adam

    2017-01-01

    During design of the envelope of a noncircular belt pulley one should take into account several conditions resulting from kinematics and geometry of the uneven-running strand transmission. Design of proper values of pitches for a belt pulley, which enable good cooperation between the belt pulley and the belt, should be carefully done. In available Polish literature and catalogues offered by belt manufacturers, one can find only detailed dimensions of belts with a trapezoidal profile. Informat...

  19. PROFILER: 1D galaxy light profile decomposition

    Science.gov (United States)

    Ciambur, Bogdan C.

    2017-05-01

    Written in Python, PROFILER analyzes the radial surface brightness profiles of galaxies. It accurately models a wide range of galaxies and galaxy components, such as elliptical galaxies, the bulges of spiral and lenticular galaxies, nuclear sources, discs, bars, rings, and spiral arms with a variety of parametric functions routinely employed in the field (Sérsic, core-Sérsic, exponential, Gaussian, Moffat and Ferrers). In addition, Profiler can employ the broken exponential model (relevant for disc truncations or antitruncations) and two special cases of the edge-on disc model: namely along the major axis (in the disc plane) and along the minor axis (perpendicular to the disc plane).

  20. In vivo sensitivity estimation and imaging acceleration with rotating RF coil arrays at 7 Tesla

    Science.gov (United States)

    Li, Mingyan; Jin, Jin; Zuo, Zhentao; Liu, Feng; Trakic, Adnan; Weber, Ewald; Zhuo, Yan; Xue, Rong; Crozier, Stuart

    2015-03-01

    Using a new rotating SENSitivity Encoding (rotating-SENSE) algorithm, we have successfully demonstrated that the rotating radiofrequency coil array (RRFCA) was capable of achieving a significant reduction in scan time and a uniform image reconstruction for a homogeneous phantom at 7 Tesla. However, at 7 Tesla the in vivo sensitivity profiles (B1-) become distinct at various angular positions. Therefore, sensitivity maps at other angular positions cannot be obtained by numerically rotating the acquired ones. In this work, a novel sensitivity estimation method for the RRFCA was developed and validated with human brain imaging. This method employed a library database and registration techniques to estimate coil sensitivity at an arbitrary angular position. The estimated sensitivity maps were then compared to the acquired sensitivity maps. The results indicate that the proposed method is capable of accurately estimating both magnitude and phase of sensitivity at an arbitrary angular position, which enables us to employ the rotating-SENSE algorithm to accelerate acquisition and reconstruct image. Compared to a stationary coil array with the same number of coil elements, the RRFCA was able to reconstruct images with better quality at a high reduction factor. It is hoped that the proposed rotation-dependent sensitivity estimation algorithm and the acceleration ability of the RRFCA will be particularly useful for ultra high field MRI.

  1. In vivo sensitivity estimation and imaging acceleration with rotating RF coil arrays at 7 Tesla.

    Science.gov (United States)

    Li, Mingyan; Jin, Jin; Zuo, Zhentao; Liu, Feng; Trakic, Adnan; Weber, Ewald; Zhuo, Yan; Xue, Rong; Crozier, Stuart

    2015-03-01

    Using a new rotating SENSitivity Encoding (rotating-SENSE) algorithm, we have successfully demonstrated that the rotating radiofrequency coil array (RRFCA) was capable of achieving a significant reduction in scan time and a uniform image reconstruction for a homogeneous phantom at 7 Tesla. However, at 7 Tesla the in vivo sensitivity profiles (B1(-)) become distinct at various angular positions. Therefore, sensitivity maps at other angular positions cannot be obtained by numerically rotating the acquired ones. In this work, a novel sensitivity estimation method for the RRFCA was developed and validated with human brain imaging. This method employed a library database and registration techniques to estimate coil sensitivity at an arbitrary angular position. The estimated sensitivity maps were then compared to the acquired sensitivity maps. The results indicate that the proposed method is capable of accurately estimating both magnitude and phase of sensitivity at an arbitrary angular position, which enables us to employ the rotating-SENSE algorithm to accelerate acquisition and reconstruct image. Compared to a stationary coil array with the same number of coil elements, the RRFCA was able to reconstruct images with better quality at a high reduction factor. It is hoped that the proposed rotation-dependent sensitivity estimation algorithm and the acceleration ability of the RRFCA will be particularly useful for ultra high field MRI. Copyright © 2014 Elsevier Inc. All rights reserved.

  2. UAV-Borne Profiling Radar for Forest Research

    Directory of Open Access Journals (Sweden)

    Yuwei Chen

    2017-01-01

    Full Text Available Microwave Radar is an attractive solution for forest mapping and inventories because microwave signals penetrates into the forest canopy and the backscattering signal can provide information regarding the whole forest structure. Satellite-borne and airborne imaging radars have been used in forest resources mapping for many decades. However, their accuracy with respect to the main forest inventory attributes substantially varies depending on the wavelength and techniques used in the estimation. Systems providing canopy backscatter as a function of canopy height are, practically speaking, missing. Therefore, there is a need for a radar system that would enable the scientific community to better understand the radar backscatter response from the forest canopy. Consequently, we undertook a research study to develop an unmanned aerial vehicle (UAV-borne profiling (i.e., waveform radar that could be used to improve the understanding of the radar backscatter response for forestry mapping and inventories. A frequency modulation continuous waveform (FMCW profiling radar, termed FGI-Tomoradar, was introduced, designed and tested. One goal is the total weight of the whole system is less than 7 kg, including the radar system and georeferencing system, with centimetre-level positioning accuracy. Achieving this weight goal would enable the FGI-Tomoradar system to be installed on the Mini-UAV platform. The prototype system had all four linear polarization measuring capabilities, with bistatic configuration in Ku-band. In system performance tests in this study, FGI-Tomoradar was mounted on a manned helicopter together with a Riegl VQ-480-U laser scanner and tested in several flight campaigns performed at the Evo site, Finland. Airborne laser scanning data was simultaneously collected to investigate the differences and similarities of the outputs for the same target area for better understanding the penetration of the microwave signal into the forest canopy

  3. Interpreting Repeated Temperature-Depth Profiles for Groundwater Flow

    Science.gov (United States)

    Bense, Victor F.; Kurylyk, Barret L.; van Daal, Jonathan; van der Ploeg, Martine J.; Carey, Sean K.

    2017-10-01

    Temperature can be used to trace groundwater flows due to thermal disturbances of subsurface advection. Prior hydrogeological studies that have used temperature-depth profiles to estimate vertical groundwater fluxes have either ignored the influence of climate change by employing steady-state analytical solutions or applied transient techniques to study temperature-depth profiles recorded at only a single point in time. Transient analyses of a single profile are predicated on the accurate determination of an unknown profile at some time in the past to form the initial condition. In this study, we use both analytical solutions and a numerical model to demonstrate that boreholes with temperature-depth profiles recorded at multiple times can be analyzed to either overcome the uncertainty associated with estimating unknown initial conditions or to form an additional check for the profile fitting. We further illustrate that the common approach of assuming a linear initial temperature-depth profile can result in significant errors for groundwater flux estimates. Profiles obtained from a borehole in the Veluwe area, Netherlands in both 1978 and 2016 are analyzed for an illustrative example. Since many temperature-depth profiles were collected in the late 1970s and 1980s, these previously profiled boreholes represent a significant and underexploited opportunity to obtain repeat measurements that can be used for similar analyses at other sites around the world.

  4. Optimized tuner selection for engine performance estimation

    Science.gov (United States)

    Simon, Donald L. (Inventor); Garg, Sanjay (Inventor)

    2013-01-01

    A methodology for minimizing the error in on-line Kalman filter-based aircraft engine performance estimation applications is presented. This technique specifically addresses the underdetermined estimation problem, where there are more unknown parameters than available sensor measurements. A systematic approach is applied to produce a model tuning parameter vector of appropriate dimension to enable estimation by a Kalman filter, while minimizing the estimation error in the parameters of interest. Tuning parameter selection is performed using a multi-variable iterative search routine which seeks to minimize the theoretical mean-squared estimation error. Theoretical Kalman filter estimation error bias and variance values are derived at steady-state operating conditions, and the tuner selection routine is applied to minimize these values. The new methodology yields an improvement in on-line engine performance estimation accuracy.

  5. Increasing estimation precision in localization microscopy

    Science.gov (United States)

    Ebeling, Carl G.

    This dissertation studies detection-based methods to increase the estimation precision of single point-source emitters in the field of localization microscopy. Localization microscopy is a novel method allowing for the localization of optical point-source emitters below the Abbe diffraction limit of optical microscopy. This is accomplished by optically controlling the active, or bright, state of individual molecules within a sample. The use of time-multiplexing of the active state allows for the temporal and spatial isolation of single point-source emitters. Isolating individual sources within a sample allows for statistical analysis on their emission point-spread function profile, and the spatial coordinates of the point-source may be discerned below the optical response of the microscope system. Localization microscopy enables the identification of individual point-source emitter locations approximately an order of magnitude below standard, diffraction-limited optical techniques. The precision of localization microscopy methods is limited by the statistical uncertainty in which the location of these sources may be estimated. By utilizing a detection-based interferometer, an interference pattern may be super-imposed over the emission signal. Theoretical analysis and Monte-Carlo simulations by means of Fisher information theory demonstrate that the incorporation of a modulation structure over the emission signal allow for a more precise estimation when compared to conventional localization methods for the same number of recorded photons. These theoretical calculation and simulations are demonstrated through the use of two proof-of-concept experiments utilizing a modified Mach-Zehnder interferometer. The first methodology improves the localization precision of a single nanoparticle over the theoretical limit for an Airy-disk point-spread function by using self-interference to spatially modulate the recorded point-spread function. Experimental analysis demonstrates

  6. Atmospheric Turbulence Estimates from a Pulsed Lidar

    Science.gov (United States)

    Pruis, Matthew J.; Delisi, Donald P.; Ahmad, Nash'at N.; Proctor, Fred H.

    2013-01-01

    Estimates of the eddy dissipation rate (EDR) were obtained from measurements made by a coherent pulsed lidar and compared with estimates from mesoscale model simulations and measurements from an in situ sonic anemometer at the Denver International Airport and with EDR estimates from the last observation time of the trailing vortex pair. The estimates of EDR from the lidar were obtained using two different methodologies. The two methodologies show consistent estimates of the vertical profiles. Comparison of EDR derived from the Weather Research and Forecast (WRF) mesoscale model with the in situ lidar estimates show good agreement during the daytime convective boundary layer, but the WRF simulations tend to overestimate EDR during the nighttime. The EDR estimates from a sonic anemometer located at 7.3 meters above ground level are approximately one order of magnitude greater than both the WRF and lidar estimates - which are from greater heights - during the daytime convective boundary layer and substantially greater during the nighttime stable boundary layer. The consistency of the EDR estimates from different methods suggests a reasonable ability to predict the temporal evolution of a spatially averaged vertical profile of EDR in an airport terminal area using a mesoscale model during the daytime convective boundary layer. In the stable nighttime boundary layer, there may be added value to EDR estimates provided by in situ lidar measurements.

  7. Blind estimation of reverberation time.

    Science.gov (United States)

    Ratnam, Rama; Jones, Douglas L; Wheeler, Bruce C; O'Brien, William D; Lansing, Charissa R; Feng, Albert S

    2003-11-01

    The reverberation time (RT) is an important parameter for characterizing the quality of an auditory space. Sounds in reverberant environments are subject to coloration. This affects speech intelligibility and sound localization. Many state-of-the-art audio signal processing algorithms, for example in hearing-aids and telephony, are expected to have the ability to characterize the listening environment, and turn on an appropriate processing strategy accordingly. Thus, a method for characterization of room RT based on passively received microphone signals represents an important enabling technology. Current RT estimators, such as Schroeder's method, depend on a controlled sound source, and thus cannot produce an online, blind RT estimate. Here, a method for estimating RT without prior knowledge of sound sources or room geometry is presented. The diffusive tail of reverberation was modeled as an exponentially damped Gaussian white noise process. The time-constant of the decay, which provided a measure of the RT, was estimated using a maximum-likelihood procedure. The estimates were obtained continuously, and an order-statistics filter was used to extract the most likely RT from the accumulated estimates. The procedure was illustrated for connected speech. Results obtained for simulated and real room data are in good agreement with the real RT values.

  8. Blind estimation of reverberation time

    Science.gov (United States)

    Ratnam, Rama; Jones, Douglas L.; Wheeler, Bruce C.; O'Brien, William D.; Lansing, Charissa R.; Feng, Albert S.

    2003-11-01

    The reverberation time (RT) is an important parameter for characterizing the quality of an auditory space. Sounds in reverberant environments are subject to coloration. This affects speech intelligibility and sound localization. Many state-of-the-art audio signal processing algorithms, for example in hearing-aids and telephony, are expected to have the ability to characterize the listening environment, and turn on an appropriate processing strategy accordingly. Thus, a method for characterization of room RT based on passively received microphone signals represents an important enabling technology. Current RT estimators, such as Schroeder's method, depend on a controlled sound source, and thus cannot produce an online, blind RT estimate. Here, a method for estimating RT without prior knowledge of sound sources or room geometry is presented. The diffusive tail of reverberation was modeled as an exponentially damped Gaussian white noise process. The time-constant of the decay, which provided a measure of the RT, was estimated using a maximum-likelihood procedure. The estimates were obtained continuously, and an order-statistics filter was used to extract the most likely RT from the accumulated estimates. The procedure was illustrated for connected speech. Results obtained for simulated and real room data are in good agreement with the real RT values.

  9. Estimating The Age-Productivity Profile Using Lifetime Earnings

    OpenAIRE

    Laurence J. Kotlikoff

    1988-01-01

    Understanding how productivity varies with age is important for a variety of reasons. A decline in productivity with age implies that aging societies must increasingly depend on the labor supply of the young and middle age. It also means that policies designed to keep the elderly in the work force, while potentially good for the elderly, may decrease overall productivity. A third implication is that, absent government intervention, employers may not be willing to hire the elderly for the same...

  10. A Method for the Estimation of the Atmospheric Temperature Profile.

    Science.gov (United States)

    1981-11-01

    Some of these statistics are available in publications of the Bureau of Meteorology . McRae(ref.3) presents tables of mean and standard deviation in...Variability of Temperature and Geopotential, Australia. Surface to 100 mb". Bureau of Meteorology , Department of the Interior, 1977 4 Maher, J.V. and...34Upper Air Statistics, Australia - Lee, D.M. Surface to 5 mb, 1957 to 1975". Bureau of Meteorology , Department of the Interior, undated 5 Maher, J.V

  11. [Estimating the morbidity profile amongst Colombian civil aviation personnel].

    Science.gov (United States)

    Salamanca, María A; Fajardo, Hugo A

    2009-01-01

    Describing main morbidity rate amongst Colombian civil aviation cockpit and air traffic control personnel. This was a cross-sectional study. A random sample of 1,059 records (pilots, flight attendants, air traffic controllers) was taken from Colombian aeronautical authority files. Identification, background, morbidity and limitation data was reviewed for each one. 68,2 % of the records concerned males. Average age was 37. 22,9 % of the sample had some medical antecedent recorded on their first certification. Alcohol consumption (occasional) was recorded for 17,1 % of the sample and 11,9 % were smokers. The main diagnoses made were: vision disorders (52,2 %), dyslipidemias (40,6 %), being overweight (37,5 %), having hearing loss (22,0 %), being healthy (14,0 %) and suffering from hypertension (8,1 %). Each group had the same diagnoses, but occurring in a different order. Others studies have found cardiovascular disease to be the main cause of morbidity amongst cockpit and air traffic control personnel. Vision disorders were the main disorder occurring in Colombia. We do not know if there is a predisposition amongst Colombians to suffer such morbidity. Cardiovascular risk factors were found in second place in Colombia, meaning that public health prevention and promotion countermeasures should be taken.

  12. Multi-omic data integration enables discovery of hidden biological regularities

    DEFF Research Database (Denmark)

    Ebrahim, Ali; Brunk, Elizabeth; Tan, Justin

    2016-01-01

    Rapid growth in size and complexity of biological data sets has led to the 'Big Data to Knowledge' challenge. We develop advanced data integration methods for multi- level analysis of genomic, transcriptomic, ribosomal profiling, proteomic and fluxomic data. First, we show that pairwise integration...... of primary omics data reveals regularities that tie cellular processes together in Escherichia coli: the number of protein molecules made per mRNA transcript and the number of ribosomes required per translated protein molecule. Second, we show that genome- scale models, based on genomic and bibliomic data......, enable quantitative synchronization of disparate data types. Integrating omics data with models enabled the discovery of two novel regularities: condition invariant in vivo turnover rates of enzymes and the correlation of protein structural motifs and translational pausing. These regularities can...

  13. Sensing the wind profile

    Energy Technology Data Exchange (ETDEWEB)

    Pena, A.

    2009-03-15

    based on profiles of aerosol backscatter from ceilometer measurements. The lidar measuring technique is used to estimate momentum flux, showing high agreement compared to measurements at Hoevsoere and Horns Rev when the filtering effects of the lidar are taken into account. (au)

  14. Evaluation of Standards for Access Control Enabling PHR-S Federation.

    Science.gov (United States)

    Mense, Alexander; Urbauer, Philipp; Sauermann, Stefan

    2017-01-01

    The adoption of the Internet of Things (IoT) and mobile applications in the healthcare may transform the healthcare industry by offering better disease tracking and management as well as patient empowerment. Unfortunately, almost all of these new systems set up their own ecosystem and to be really valuable for the care process they need to be integrated or federated with user managed access control services based on international standards and profiles to enable interoperability. Thus, this work presents the results of an evaluation of available specifications for federated authorization, based on a set of basic requirements.

  15. Annual nitrate drawdown observed by SOCCOM profiling floats and the relationship to annual net community production

    Science.gov (United States)

    Johnson, Kenneth S.; Plant, Joshua N.; Dunne, John P.; Talley, Lynne D.; Sarmiento, Jorge L.

    2017-08-01

    Annual nitrate cycles have been measured throughout the pelagic waters of the Southern Ocean, including regions with seasonal ice cover and southern hemisphere subtropical zones. Vertically resolved nitrate measurements were made using in situ ultraviolet spectrophotometer (ISUS) and submersible ultraviolet nitrate analyzer (SUNA) optical nitrate sensors deployed on profiling floats. Thirty-one floats returned 40 complete annual cycles. The mean nitrate profile from the month with the highest winter nitrate minus the mean profile from the month with the lowest nitrate yields the annual nitrate drawdown. This quantity was integrated to 200 m depth and converted to carbon using the Redfield ratio to estimate annual net community production (ANCP) throughout the Southern Ocean south of 30°S. A well-defined, zonal mean distribution is found with highest values (3-4 mol C m-2 yr-1) from 40 to 50°S. Lowest values are found in the subtropics and in the seasonal ice zone. The area weighted mean was 2.9 mol C m-2 yr-1 for all regions south of 40°S. Cumulative ANCP south of 50°S is 1.3 Pg C yr-1. This represents about 13% of global ANCP in about 14% of the global ocean area.Plain Language SummaryThis manuscript reports on 40 annual cycles of nitrate observed by chemical sensors on SOCCOM profiling floats. The annual drawdown in nitrate concentration by phytoplankton is used to assess the spatial variability of annual net community production in the Southern Ocean. This ANCP is a key component of the global carbon cycle and it exerts an important control on atmospheric carbon dioxide. We show that the results are consistent with our prior understanding of Southern Ocean ANCP, which has required decades of observations to accumulate. The profiling floats now enable annual resolution of this key process. The results also highlight spatial variability in ANCP in the Southern Ocean.

  16. Fractal Analysis of Rock Joint Profiles

    Science.gov (United States)

    Audy, Ondřej; Ficker, Tomáš

    2017-10-01

    Surface reliefs of rock joints are analyzed in geotechnics when shear strength of rocky slopes is estimated. The rock joint profiles actually are self-affine fractal curves and computations of their fractal dimensions require special methods. Many papers devoted to the fractal properties of these profiles were published in the past but only a few of those papers employed a convenient computational method that would have guaranteed a sound value of that dimension. As a consequence, anomalously low dimensions were presented. This contribution deals with two computational modifications that lead to sound fractal dimensions of the self-affine rock joint profiles. These are the modified box-counting method and the modified yard-stick method sometimes called the compass method. Both these methods are frequently applied to self-similar fractal curves but the self-affine profile curves due to their self-affine nature require modified computational procedures implemented in computer programs.

  17. Generic methodology for calibrating profiling nacelle lidars

    DEFF Research Database (Denmark)

    Borraccino, Antoine; Courtney, Michael; Wagner, Rozenn

    Improving power performance assessment by measuring at different heights has been demonstrated using ground-based profiling LIDARs. More recently, nacelle-mounted lidars studies have shown promising capabilities to assess power performance. Using nacelle lidars avoids the erection of expensive...... meteorology masts, especially offshore. A new generation of commercially developed profiling nacelle lidars has sophisticated measurement capabilities. As for any other measuring system, lidars measurements have uncertainties. Their estimation is the ultimate goal of a calibration. Field calibration...... procedures have been developed for non-profiling nacelle lidars. However, their specificity to one type of lidar or another highlights the need for developing generic calibration procedures. Such procedures should be applicable to any type of existing and upcoming lidar technology. Profiling nacelle lidars...

  18. Suspended sediment concentration profiles from synoptic satellite observations

    Digital Repository Service at National Institute of Oceanography (India)

    Ramakrishnan, R.; Rajawat, A; Chauhan, O.S.

    A method is developed to estimate vertical suspended sediment concentration (SSC) profiles in Gulf of Kachchh, from the sediment concentration values derived from synoptic observations of Ocean Colour Monitor (OCM). Under the influence of currents...

  19. Global Distribution of Root Profiles in Terrestrial Ecosystems

    Data.gov (United States)

    National Aeronautics and Space Administration — Rooting depths were estimated from a global database of root profiles assembled from the primary literature to study relationships of abiotic and biotic factors...

  20. Enabling distributed intelligence assisted Future Internet of Things Controller (FITC

    Directory of Open Access Journals (Sweden)

    Hasibur Rahman

    2018-01-01

    Full Text Available The unprecedented prevalence of ubiquitous sensing will revolutionise the Future Internet where state-of-the-art Internet-of-Things (IoT is believed to play the pivotal role. In the fast forwarding IoT paradigm, hundreds of billions of things are estimated to be deployed which would give rise to an enormous amount of data. Cloud computing has been the prevailing choice for controlling the connected things and the data, and providing intelligence based on the data. But response time and network load are on the higher side for cloud based solutions. Recently, edge computing is gaining growing attention to overcome this by employing rule-based intelligence. However, requirements of rules do not scale well with the proliferation of things. At the same time, rules fail in uncertain events and only offer pre-assumed intelligence. To counter this, this paper proposes a novel idea of leveraging the belief-network with the edge computing to utilize as an IoT edge-controller the aim of which is to offer low-level intelligence for IoT applications. This low-level intelligence along with cloud-based intelligence form the distributed intelligence in the IoT realm. Furthermore, a learning approach similar to reinforcement learning has been proposed. The approach, i.e. enabling a Future IoT Controller (FITC has been verified with a simulated SmartHome scenario which proves the feasibility of the low-level intelligence in terms of reducing rules domination, faster response time and prediction through learning experiences at the edge.

  1. Accelerating the Original Profile Kernel.

    Science.gov (United States)

    Hamp, Tobias; Goldberg, Tatyana; Rost, Burkhard

    2013-01-01

    One of the most accurate multi-class protein classification systems continues to be the profile-based SVM kernel introduced by the Leslie group. Unfortunately, its CPU requirements render it too slow for practical applications of large-scale classification tasks. Here, we introduce several software improvements that enable significant acceleration. Using various non-redundant data sets, we demonstrate that our new implementation reaches a maximal speed-up as high as 14-fold for calculating the same kernel matrix. Some predictions are over 200 times faster and render the kernel as possibly the top contender in a low ratio of speed/performance. Additionally, we explain how to parallelize various computations and provide an integrative program that reduces creating a production-quality classifier to a single program call. The new implementation is available as a Debian package under a free academic license and does not depend on commercial software. For non-Debian based distributions, the source package ships with a traditional Makefile-based installer. Download and installation instructions can be found at https://rostlab.org/owiki/index.php/Fast_Profile_Kernel. Bugs and other issues may be reported at https://rostlab.org/bugzilla3/enter_bug.cgi?product=fastprofkernel.

  2. Accelerating the Original Profile Kernel.

    Directory of Open Access Journals (Sweden)

    Tobias Hamp

    Full Text Available One of the most accurate multi-class protein classification systems continues to be the profile-based SVM kernel introduced by the Leslie group. Unfortunately, its CPU requirements render it too slow for practical applications of large-scale classification tasks. Here, we introduce several software improvements that enable significant acceleration. Using various non-redundant data sets, we demonstrate that our new implementation reaches a maximal speed-up as high as 14-fold for calculating the same kernel matrix. Some predictions are over 200 times faster and render the kernel as possibly the top contender in a low ratio of speed/performance. Additionally, we explain how to parallelize various computations and provide an integrative program that reduces creating a production-quality classifier to a single program call. The new implementation is available as a Debian package under a free academic license and does not depend on commercial software. For non-Debian based distributions, the source package ships with a traditional Makefile-based installer. Download and installation instructions can be found at https://rostlab.org/owiki/index.php/Fast_Profile_Kernel. Bugs and other issues may be reported at https://rostlab.org/bugzilla3/enter_bug.cgi?product=fastprofkernel.

  3. Enabling conformity to international standards within SeaDataNet

    Science.gov (United States)

    Schaap, Dick M. A.; Boldrini, Enrico; de Korte, Arjen; Santoro, Mattia; Manzella, Giuseppe; Nativi, Stefano

    2010-05-01

    SeaDataNet objective is to construct a standardized system for managing the large and diverse data sets collected by the oceanographic fleets and the new automatic observation systems. The aim is to network and enhance the currently existing infrastructures, which are the national oceanographic data centres and satellite data centres of 36 countries, active in data collection. The networking of these professional data centres, in a unique virtual data management system will provide integrated data sets of standardized quality on-line. The Common Data Index (CDI) is the middleware service adopted by SeaDataNet for discovery and access of the available data. In order to develop an interoperable and effective system, the use of international de facto and de jure standards is required. In particular the new goal object of this presentation is to introduce and discuss the solutions for making SeaDataNet compliant with the European Union (EU) INSPIRE directive and in particular with its Implementing Rules (IR). The European INSPIRE directive aims to rule the creation of an European Spatial Data Infrastructure (ESDI). This will enable the sharing of environmental spatial information among public sector organisations and better facilitate public access to spatial information across Europe. To ensure that the spatial data infrastructures of the European Member States are compatible and usable in a community and transboundary context, the directive requires that common IRs are adopted in a number of specific areas (Metadata, Data Specifications, Network Services, Data and Service Sharing and Monitoring and Reporting). Often the use of already approved digital geographic information standards is mandated, drawing from international organizations like the Open Geospatial Consortium (OGC) and the International Organization for Standardization (ISO), the latter by means of its Technical Committee 211 (ISO/TC 211). In the context of geographic data discovery a set of mandatory

  4. Estimation of Nonlinear Adsorption Isotherms in Gradient Elution RP-LC of Peptides in the Presence of an Adsorbing Additive.

    Science.gov (United States)

    Åsberg, Dennis; Leśko, Marek; Leek, Tomas; Samuelsson, Jörgen; Kaczmarski, Krzysztof; Fornstedt, Torgny

    2017-01-01

    In electrostatic repulsive interaction chromatography, using a charged surface hybrid sorbent carrying positive charges can improve the peak shape of peptides in reversed-phase liquid chromatography (RP-LC), especially in overloaded conditions, compared with standard C18 sorbents. However, the positive surface charges can interact with anionic additives commonly used in peptide separations, e.g., trifluoroacetic acid (TFA), complicating adsorption isotherm estimation. We investigated how the competition for available adsorption sites between TFA and two peptides influenced the adsorption isotherm in gradient elution. A model accounting for the competition with TFA was compared with a model neglecting TFA adsorption. We found that the two models predicted elution profiles with the same accuracy. We also found that the adsorption isotherms were extremely similar in shape, leading to the conclusion that neglecting the competition with TFA is a valid approximation enabling faster and more robust adsorption isotherm estimation for the studied type of sorbent.

  5. YOUNG ATHLETES' MOTIVATIONAL PROFILES

    Directory of Open Access Journals (Sweden)

    Juan Antonio Moreno Murcia

    2007-06-01

    Full Text Available The aim of this study was to examine the relationship between motivational characteristics and dispositional flow. In order to accomplish this goal, motivational profiles emerging from key constructs within Achievement Goal Theory and Self-Determination Theory were related to the dispositional flow measures. A sample of 413 young athletes (Age range 12 to 16 years completed the PMCSQ-2, POSQ, SMS and DFS measures. Cluster analysis results revealed three profiles: a "self-determined profile" characterised by higher scores on the task-involving climate perception and on the task orientation; a "non-self-determined profile", characterised by higher scores on ego-involving climate perception and ego orientation; and a "low self-determined and low non-self-determined profile" which had the lowest dispositional flow. No meaningful differences were found between the "self-determined profile" and the "non-self-determined profile" in dispositional flow. The "self-determined profile" was more commonly associated with females, athletes practising individual sports and those training more than three days a week. The "non-self-determined profile" was more customary of males and athletes practising team sports as well as those training just two or three days a week

  6. Ceramic Electrolyte Membrane Technology: Enabling Revolutionary Electrochemical Energy Storage

    Science.gov (United States)

    2015-10-05

    Sep-2014 Approved for Public Release; Distribution Unlimited Final Report: Ceramic Electrolyte Membrane Technology : Enabling Revolutionary...2601 30-Sep-2014 ABSTRACT Number of Papers published in peer-reviewed journals: Final Report: Ceramic Electrolyte Membrane Technology : Enabling... technology to fabricate larger LLZO ceramic membranes . The goal of this work is to develop ceramic processing technology to fabricate LLZO membranes that

  7. Using Computational Toxicology to Enable Risk-Based ...

    Science.gov (United States)

    presentation at Drug Safety Gordon Research Conference 2016 on research efforts in NCCT to enable Computational Toxicology to support risk assessment. Slide presentation at Drug Safety Gordon Research Conference 2016 on research efforts in NCCT to enable Computational Toxicology to support risk assessment.

  8. Creating Enabling Environments for Small and Medium Enterprises ...

    African Journals Online (AJOL)

    It has been observed that small and medium scale enterprise ( SME) are the bedrock of a nation\\'s industrial and technological advancement. Hence, creating an enabling environment for SMEs to thrive will result in development. This paper examines the enabling environment with particular reference to good governance ...

  9. Enabling performance measurement in a small professional service firm.

    NARCIS (Netherlands)

    Groen, B.A.C.; van de Belt, Mirthe; Wilderom, Celeste P.M.

    2012-01-01

    Purpose – The purpose of this paper is to show why developing an enabling performance measurement system (PMS) can be useful to small professional service firms (PSFs) and how small PSFs can develop such an enabling PMS. Design/methodology/approach – The authors used a process‐consultation type of

  10. Insights into Attrition from University-Based Enabling Programs

    Science.gov (United States)

    Bookallil, Cheryl; Harreveld, Bobby

    2017-01-01

    High attrition rates from university-based enabling programs continue to be the subject of much research and administrative effort. Understanding the factors behind decisions to withdraw from such programs is difficult since those who do not successfully complete an enabling program may not readily agree to participate in research into their…

  11. Terahertz Characterization of DNA: Enabling a Novel Approach

    Science.gov (United States)

    2015-11-01

    nucleic acid sequences within a genetic library would pave the way for improved forensic analysis, genetic testing, and DNA production processes.1 Other...ARL-CR-0788 ● NOV 2015 US Army Research Laboratory Terahertz Characterization of DNA : Enabling a Novel Approach prepared by...Research Laboratory Terahertz Characterization of DNA : Enabling a Novel Approach prepared by Sarah Stranieri University of Illinois at Urbana

  12. AFC-Enabled Vertical Tail System Integration Study

    Science.gov (United States)

    Mooney, Helen P.; Brandt, John B.; Lacy, Douglas S.; Whalen, Edward A.

    2014-01-01

    This document serves as the final report for the SMAAART AFC-Enabled Vertical Tail System Integration Study. Included are the ground rule assumptions which have gone into the study, layouts of the baseline and AFC-enabled configurations, critical sizing information, system requirements and architectures, and assumed system properties that result in an NPV assessment of the two candidate AFC technologies.

  13. Method for Estimating the Charge Density Distribution on a Dielectric Surface.

    Science.gov (United States)

    Nakashima, Takuya; Suhara, Hiroyuki; Murata, Hidekazu; Shimoyama, Hiroshi

    2017-06-01

    High-quality color output from digital photocopiers and laser printers is in strong demand, motivating attempts to achieve fine dot reproducibility and stability. The resolution of a digital photocopier depends on the charge density distribution on the organic photoconductor surface; however, directly measuring the charge density distribution is impossible. In this study, we propose a new electron optical instrument that can rapidly measure the electrostatic latent image on an organic photoconductor surface, which is a dielectric surface, as well as a novel method to quantitatively estimate the charge density distribution on a dielectric surface by combining experimental data obtained from the apparatus via a computer simulation. In the computer simulation, an improved three-dimensional boundary charge density method (BCM) is used for electric field analysis in the vicinity of the dielectric material with a charge density distribution. This method enables us to estimate the profile and quantity of the charge density distribution on a dielectric surface with a resolution of the order of microns. Furthermore, the surface potential on the dielectric surface can be immediately calculated using the obtained charge density. This method enables the relation between the charge pattern on the organic photoconductor surface and toner particle behavior to be studied; an understanding regarding the same may lead to the development of a new generation of higher resolution photocopiers.

  14. Novel Method for 5G Systems NLOS Channels Parameter Estimation

    Directory of Open Access Journals (Sweden)

    Vladeta Milenkovic

    2017-01-01

    Full Text Available For the development of new 5G systems to operate in mm bands, there is a need for accurate radio propagation modelling at these bands. In this paper novel approach for NLOS channels parameter estimation will be presented. Estimation will be performed based on LCR performance measure, which will enable us to estimate propagation parameters in real time and to avoid weaknesses of ML and moment method estimation approaches.

  15. Impact location estimation in anisotropic structures

    Science.gov (United States)

    Zhou, Jingru; Mathews, V. John; Adams, Daniel O.

    2015-03-01

    Impacts are major causes of in-service damage in aerospace structures. Therefore, impact location estimation techniques are necessary components of Structural Health Monitoring (SHM). In this paper, we consider impact location estimation in anisotropic composite structures using acoustic emission signals arriving at a passive sensor array attached to the structure. Unlike many published location estimation algorithms, the algorithm presented in this paper does not require the waveform velocity profile for the structure. Rather, the method employs time-of-arrival information to jointly estimate the impact location and the average signal transmission velocities from the impact to each sensor on the structure. The impact location and velocities are estimated as the solution of a nonlinear optimization problem with multiple quadratic constraints. The optimization problem is solved by using first-order optimality conditions. Numerical simulations as well as experimental results demonstrate the ability of the algorithm to accurately estimate the impact location using acoustic emission signals.

  16. Rapid estimation of topsoil hydraulic properties from coupled inversion of TDR data during falling head infiltration

    Science.gov (United States)

    Mboh, C.; Huisman, J. A.; Vereecken, H.

    2010-12-01

    Fast and accurate estimation of topsoil hydraulic properties is very important in many environmental and engineering fields of study. On a small scale, one way of estimating these properties is to monitor infiltration of water into the soil with time domain reflectometry (TDR). Traditionally, TDR data collected during infiltration events are initially converted into average water content along the length of the TDR probe using travel time techniques. These water content averages are then used to inversely estimate soil hydraulic properties by calibrating a hydraulic model or an analytical solution of Richard’s equation describing the infiltration event. However, travel time analysis is subjective and difficult to use for interpretation of TDR measurements made during infiltration events. Moreover, all the errors made in converting the TDR data into water content averages directly propagate to the estimated hydraulic properties. In this study, we examine a new approach to estimating topsoil hydraulic properties from TDR data collected during falling head infiltration. Unlike the classical travel-time based approach to interpreting TDR, we interpret TDR measurements based on inverse modeling of TDR waveforms which has the potential to retrieve spatially resolved soil dielectric permittivity profiles. Instead of using TDR-inferred water content averages as in the traditional approach, we directly use the TDR waveforms to estimate soil properties. This was achieved by coupling a forward model of TDR waveform propagation to a hydrological model describing falling head infiltration. By perturbing the hydraulic parameters in the hydrological model, water content profiles are simulated and converted to TDR waveforms using the TDR forward model. This is repeated until a close fit between measured and modeled TDR waveforms is found. Apart from its potential to provide accurate and hydrologically relevant estimates of topsoil hydraulic properties, the coupled approach also

  17. Criminal Psychological Profiling

    Science.gov (United States)

    1993-10-18

    landmark report became known to the general population. Dr. Langer’s profile broke new ground. While the practice of psychoanalysis was not new, this marked...school or college dropout. Suspect is probably suffering from one or more forms of paranoid psychosis .6 Perpetrator: Based on this profile, the police

  18. Compton profile of tantalum

    Indian Academy of Sciences (India)

    scale-Compton profile is directly related to the momentum distribution of the electrons. The spectral analysis ... proximation, the Compton profile J(q) is the projection of the target's electron momentum distribution, n(p) ... densed matter and serves as a reliable test of the accuracy of the calculated wave functions. Such basic ...

  19. Reinforced aerodynamic profile

    DEFF Research Database (Denmark)

    2010-01-01

    The present invention relates to the prevention of deformations in an aerodynamic profile caused by lack of resistance to the bending moment forces that are created when such a profile is loaded in operation. More specifically, the invention relates to a reinforcing element inside an aerodynamic...

  20. Chemical profiling of explosives

    NARCIS (Netherlands)

    Brust, G.M.H.

    2014-01-01

    The primary goal of this thesis is to develop analytical methods for the chemical profiling of explosives. Current methodologies for the forensic analysis of explosives focus on identification of the explosive material. However, chemical profiling of explosives becomes increasingly important, as

  1. Subspace Based Blind Sparse Channel Estimation

    DEFF Research Database (Denmark)

    Hayashi, Kazunori; Matsushima, Hiroki; Sakai, Hideaki

    2012-01-01

    The paper proposes a subspace based blind sparse channel estimation method using 1–2 optimization by replacing the 2–norm minimization in the conventional subspace based method by the 1–norm minimization problem. Numerical results confirm that the proposed method can significantly improve...... the estimation accuracy for the sparse channel, while achieving the same performance as the conventional subspace method when the channel is dense. Moreover, the proposed method enables us to estimate the channel response with unknown channel order if the channel is sparse enough....

  2. VERTICAL ACTIVITY ESTIMATION USING 2D RADAR

    African Journals Online (AJOL)

    hennie

    1 D. E. Manolakis. Efficient solution and performance analysis of 3-d position estimation by trilateration. IEEE Transactions on Aerospace and Electronic Systems, volume 32(4), pages 1239–1248, October 1996. 2 D. E. Manolakis. Aircraft vertical profile prediction based on surveillance data only. IEE Proceedings on Radar, ...

  3. Assessment of beating parameters in human induced pluripotent stem cells enables quantitative in vitro screening for cardiotoxicity

    Energy Technology Data Exchange (ETDEWEB)

    Sirenko, Oksana, E-mail: oksana.sirenko@moldev.com [Molecular Devices LLC, Sunnyvale, CA 94089 (United States); Cromwell, Evan F., E-mail: evan.cromwell@moldev.com [Molecular Devices LLC, Sunnyvale, CA 94089 (United States); Crittenden, Carole [Molecular Devices LLC, Sunnyvale, CA 94089 (United States); Wignall, Jessica A. [Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC 27599 (United States); Wright, Fred A. [Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599 (United States); Rusyn, Ivan [Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC 27599 (United States)

    2013-12-15

    Human induced pluripotent stem cell (iPSC)-derived cardiomyocytes show promise for screening during early drug development. Here, we tested a hypothesis that in vitro assessment of multiple cardiomyocyte physiological parameters enables predictive and mechanistically-interpretable evaluation of cardiotoxicity in a high-throughput format. Human iPSC-derived cardiomyocytes were exposed for 30 min or 24 h to 131 drugs, positive (107) and negative (24) for in vivo cardiotoxicity, in up to 6 concentrations (3 nM to 30 uM) in 384-well plates. Fast kinetic imaging was used to monitor changes in cardiomyocyte function using intracellular Ca{sup 2+} flux readouts synchronous with beating, and cell viability. A number of physiological parameters of cardiomyocyte beating, such as beat rate, peak shape (amplitude, width, raise, decay, etc.) and regularity were collected using automated data analysis. Concentration–response profiles were evaluated using logistic modeling to derive a benchmark concentration (BMC) point-of-departure value, based on one standard deviation departure from the estimated baseline in vehicle (0.3% dimethyl sulfoxide)-treated cells. BMC values were used for cardiotoxicity classification and ranking of compounds. Beat rate and several peak shape parameters were found to be good predictors, while cell viability had poor classification accuracy. In addition, we applied the Toxicological Prioritization Index (ToxPi) approach to integrate and display data across many collected parameters, to derive “cardiosafety” ranking of tested compounds. Multi-parameter screening of beating profiles allows for cardiotoxicity risk assessment and identification of specific patterns defining mechanism-specific effects. These data and analysis methods may be used widely for compound screening and early safety evaluation in drug development. - Highlights: • Induced pluripotent stem cell-derived cardiomyocytes are promising in vitro models. • We tested if evaluation

  4. Ensemble estimators for multivariate entropy estimation.

    Science.gov (United States)

    Sricharan, Kumar; Wei, Dennis; Hero, Alfred O

    2013-07-01

    The problem of estimation of density functionals like entropy and mutual information has received much attention in the statistics and information theory communities. A large class of estimators of functionals of the probability density suffer from the curse of dimensionality, wherein the mean squared error (MSE) decays increasingly slowly as a function of the sample size T as the dimension d of the samples increases. In particular, the rate is often glacially slow of order O(T(-)(γ)(/)(d) ), where γ > 0 is a rate parameter. Examples of such estimators include kernel density estimators, k-nearest neighbor (k-NN) density estimators, k-NN entropy estimators, intrinsic dimension estimators and other examples. In this paper, we propose a weighted affine combination of an ensemble of such estimators, where optimal weights can be chosen such that the weighted estimator converges at a much faster dimension invariant rate of O(T(-1)). Furthermore, we show that these optimal weights can be determined by solving a convex optimization problem which can be performed offline and does not require training data. We illustrate the superior performance of our weighted estimator for two important applications: (i) estimating the Panter-Dite distortion-rate factor and (ii) estimating the Shannon entropy for testing the probability distribution of a random sample.

  5. Pesticides Industry Sales and Usage 2006 and 2007 Market Estimates

    Science.gov (United States)

    These reports provide economic profile information on sectors producing and using pesticides covered by FIFRA mandated regulatory programs. The reports contain contemporary and historical data estimating values and amounts of active ingredients used here.

  6. Pesticides Industry Sales and Usage 2008 - 2012 Market Estimates

    Science.gov (United States)

    These reports provide economic profile information on sectors producing and using pesticides covered by FIFRA mandated regulatory programs. The reports contain contemporary and historical data estimating values and amounts of active ingredients used here.

  7. Organizational Enablers for Governance and Governmentality of Projects

    DEFF Research Database (Denmark)

    Müller, Ralf; Pemsel, Sofia; Shao, Jingting

    2014-01-01

    governance, governance of projects and governmentality. Outcomes indicate that governance is enabled through different forms of flexibility at different levels of governance, institutional setup and authority at the project level, flexible structures and mindsets of people at the organizational level......This study identifies the organizational enablers for governance in the realm of projects. We first conceptualize organizational enablers as comprising of process facilitators and discursive abilities, each with its own factors and mechanisms. Then we apply this concept to the literature on project...

  8. Customised spatiotemporal temperature gradients created by a liquid metal enabled vortex generator.

    Science.gov (United States)

    Zhu, Jiu Yang; Thurgood, Peter; Nguyen, Ngan; Ghorbani, Kamran; Khoshmanesh, Khashayar

    2017-11-07

    Generating customised temperature gradients in miniaturised flow-free liquid chambers is challenging due to the dominance of diffusion. Inducing internal flows in the form of vortices is an effective strategy for overcoming the limitations of diffusion in such environments. Vortices can be produced by applying pressure, temperature and electric potential gradients via miniaturised actuators. However, the difficulties associated with the fabrication, integration, maintenance and operation of such actuators hinder their utility. Here, we utilise liquid metal enabled pumps to induce vortices inside a miniaturised liquid chamber. The configuration and rotational velocity of these vortices can be controlled by tuning the polarity and frequency of the energising electrical signal. This allows creation of customised spatial temperature gradients inside the chamber. The absence of conventional moving elements in the pumps facilitates the rapid reconfiguration of vortices. This enables quick transition from one temperature profile to another, and creates customised spatiotemporal temperature gradients. This allows temperature oscillation from 35 to 62 °C at the hot spot, and from 25 to 27 °C at the centre of the vortex within 15 seconds. Our liquid metal enabled vortex generator can be fabricated, integrated and operated easily, and offers opportunities for studying thermo-responsive materials and biological samples.

  9. A Personalised Profile-Based Intelligent and Adaptive Energy

    African Journals Online (AJOL)

    MoBateriE: A Personalised Profile-Based Intelligent and Adaptive. Energy Manager. Paper accepted on 11 May 2015. Abstract. Increasing electronic waste has forced the mobile phone industry to .... Turducken is a mobile device architecture which enables always-on availability .... an XML file which describes its structure.

  10. Cholesterol Profile of Adults Resident in Eastern Nigeria | Igweh ...

    African Journals Online (AJOL)

    Objective: The present study aims to determine a cholesterol profile for people living in this part of Eastern Nigeria. This will enable recommendation of a range of normal Cholesterol levels for the people living in this part of the world. Method: Total serum cholesterol, HDL, LDL, VLDL and triglycerides levels were determined ...

  11. Estimation of aerodynamic roughness at various spatial scales

    NARCIS (Netherlands)

    Menenti, M.; Ritchie, J.C.; Humes, K.S.; Parry, R.; Pachepsky, Y.; Gimenez, D.; Leguizamon, S.

    1996-01-01

    Laser measurements done with an airborne profiler were applied to determine geometric parameters of the land surface and to estimate the aerodynamic roughness length at increasing length scales. Geostatistical methods were used to obtain a measure of length scales. Long laser profiles (8 km at a

  12. Objective measurement of inhaler inhalation flow profile using acoustic methods

    Energy Technology Data Exchange (ETDEWEB)

    Lacalle, H.; Taylor, T.E.; Marco, S.; Reilly, R.B.

    2016-07-01

    Patients with asthma and chronic obstructive pulmonary diseases (COPD) are mostly treated with inhalers that deliver medication directly to their airways. Drug delivery from dry powder inhalers (DPIs) is very much reliant on the inhalation manoeuvre, specifically the peak inspiratory flow rate (PIFR), inspiratory capacity (IC) and inhalation rise time (IRT) of the inhalation. It has been widely reported that patients may not follow correct inhalation technique while using their inhaler. In this study, a novel acoustic method is proposed to accurately estimate inhalation flow profile using only one inhalation recording for calibration. An Ellipta DPI was placed inside an airtight container with a spirometer connected in order to measure inhalation flow parameters. An acoustic recording device (Inhaler Compliance Assessment (INCA)) was also attached to the DPI. Inhalation audio and flow signals were recorded simultaneously. The data were collected from 20 healthy subjects while performing inhaler inhalations at a range of inspiratory flow rates. A power law regression model was computed to obtain the relationship between the acoustic envelope of the inhalation and flow profile of each recording. Each model was tested on the remaining audio signals to estimate flow profile. The average estimation error was found to be 10.5±0.3% for estimating flow profile from audio signals. Inhalation flow profile parameters (PIFR, IC and IRT) could then be measured from the estimated flow profile with high accuracy giving information on user inhalation technique. This method may assist in improving patient inhaler adherence and overall disease control. (Author)

  13. State Estimation for Tensegrity Robots

    Science.gov (United States)

    Caluwaerts, Ken; Bruce, Jonathan; Friesen, Jeffrey M.; Sunspiral, Vytas

    2016-01-01

    Tensegrity robots are a class of compliant robots that have many desirable traits when designing mass efficient systems that must interact with uncertain environments. Various promising control approaches have been proposed for tensegrity systems in simulation. Unfortunately, state estimation methods for tensegrity robots have not yet been thoroughly studied. In this paper, we present the design and evaluation of a state estimator for tensegrity robots. This state estimator will enable existing and future control algorithms to transfer from simulation to hardware. Our approach is based on the unscented Kalman filter (UKF) and combines inertial measurements, ultra wideband time-of-flight ranging measurements, and actuator state information. We evaluate the effectiveness of our method on the SUPERball, a tensegrity based planetary exploration robotic prototype. In particular, we conduct tests for evaluating both the robot's success in estimating global position in relation to fixed ranging base stations during rolling maneuvers as well as local behavior due to small-amplitude deformations induced by cable actuation.

  14. Prognostics-Enabled Power Supply for ADAPT Testbed Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Ridgetop's role is to develop electronic prognostics for sensing power systems in support of NASA/Ames ADAPT testbed. The prognostic enabled power systems from...

  15. Intercultural Knowledge Flows in Edge Organizations: Trust as an Enabler

    National Research Council Canada - National Science Library

    Gavrieli, Dana A; Scott, W. R

    2005-01-01

    ...., across military services and coalition partners) and knowledge flows. A major factor that emerges as an enabler of knowledge flows, especially in dynamic environments such as those in which Edge organizations operate, is trust...

  16. Excavating obstacles and enablers to internationalization at home

    NARCIS (Netherlands)

    Beelen, Jos; Woldegiyorgis, Ayenachew A.; Rumbley, Laura E.; de Wit, Hans

    2017-01-01

    Gives an overview of my research as a visiting scholar at The Boston College Center for International Higher Education. This research classifies these obstacles and enablers in four categories: disciplinary, external, internal and personal.

  17. Utility Energy Services Contracts: Enabling Documents, May 2009 (Book)

    Energy Technology Data Exchange (ETDEWEB)

    2009-05-01

    Enabling Documents, delivered by the U.S. Department of Energy's Federal Energy Management Program (FEMP) to provide materials that clarify the authority for federal agencies to enter into utility energy services contracts (UESCs).

  18. Constructing Chains of Enablers for Alternative Economic Futures

    DEFF Research Database (Denmark)

    Hull Kristensen, Peer

    2016-01-01

    economies. This article illustrates a way of researching alternative economic futures by identifying chains of enablers in Denmark and other Nordic countries by which society and business can co-develop and capture capabilities to take on new roles in globalization. Focus is on institutional enablers...... that have made possible novel forms of work-organization and business models. These institutional enablers are capacitating on the "supply side" by enabling labor to take active part in shaping enterprises supported by social welfare services (training, child- and eldercare, support for housing, etc.......). Being generally inclusive of social movements, welfare states has also helped identify new needs on the "demand side" such as child- and eldercare, environmental protection, alternative energy and energy-saving, health, and city planning. This is illustrated by a number of firms that supply products...

  19. The ICT predicament of new ICT-enabled service

    OpenAIRE

    Chang, Wen-Jan; Rua-HuanTsaih; Yen, David C.; Han, Tzu-Shian

    2015-01-01

    The advancement of information and communication technologies (ICT) has triggered many ICT-enabled services. Regarding this service, the complementary ICT system involves with customers' devices, industry-wide ICT development and nation-wide ICT infrastructure, which are difficult for any individual organization to control. The ICT predicament is the phenomenon that the complementary ICT system is inferior in delivering the promised service quality of new ICT-enabled service. With the ICT pre...

  20. Green communication: The enabler to multiple business models

    DEFF Research Database (Denmark)

    Lindgren, Peter; Clemmensen, Suberia; Taran, Yariv

    2010-01-01

    Companies stand at the forefront of a new business model reality with new potentials - that will change their basic understanding and practice of running their business models radically. One of the drivers to this change is green communication, its strong relation to green business models and its...... possibility to enable lower energy consumption. This paper shows how green communication enables innovation of green business models and multiple business models running simultaneously in different markets to different customers....

  1. Mechanical Engineering Design Project report: Enabler control systems

    Science.gov (United States)

    Cullen, Christian; Delvecchio, Dave; Scarborough, Alan; Havics, Andrew A.

    1992-01-01

    The Controls Group was assigned the responsibility for designing the Enabler's control system. The requirement for the design was that the control system must provide a simple user interface to control the boom articulation joints, chassis articulation joints, and the wheel drive. The system required controlling hydraulic motors on the Enabler by implementing 8-bit microprocessor boards. In addition, feedback to evaluate positions and velocities must be interfaced to provide the operator with confirmation as well as control.

  2. Hardware-Enabled Security Through On-Chip Reconfigurable Fabric

    Science.gov (United States)

    2016-02-05

    SECURITY CLASSIFICATION OF: The goal of this project was to enable hardware -based security techniques on future microprocessors in a way that they...can be added and updated after fabrication, similar to software, while maintaining the efficiency and the security of hardware . For this purpose, the...Mar-2011 31-May-2014 Approved for Public Release; Distribution Unlimited Final Report: Hardware -Enabled Security Through On-Chip Reconfigurable Fabric

  3. POSTER: Privacy-Preserving Profile Similarity Computation in Online Social Networks

    NARCIS (Netherlands)

    Jeckmans, Arjan; Tang, Qiang; Hartel, Pieter H.

    2011-01-01

    Currently, none of the existing online social networks (OSNs) enables its users to make new friends without revealing their private information. This leaves the users in a vulnerable position when searching for new friends. We propose a solution which enables a user to compute her profile similarity

  4. Profiling the Mobile Customer

    DEFF Research Database (Denmark)

    Jessen, Pernille Wegener; King, Nancy J.

    2010-01-01

    Mobile customers are increasingly being tracked and profiled by behavioural advertisers to enhance delivery of personalized advertising. This type of profiling relies on automated processes that mine databases containing personally-identifying or anonymous consumer data, and it raises a host...... of significant concerns about privacy and data protection. This second article in a two part series on "Profiling the Mobile Customer" explores how to best protect consumers' privacy and personal data through available mechanisms that include industry self-regulation, privacy-enhancing technologies...

  5. Physician communication via Internet-enabled technology: A systematic review.

    Science.gov (United States)

    Barr, Neil G; Randall, Glen E; Archer, Norman P; Musson, David M

    2017-10-01

    The use of Internet-enabled technology (information and communication technology such as smartphone applications) may enrich information exchange among providers and, consequently, improve health care delivery. The purpose of this systematic review was to gain a greater understanding of the role that Internet-enabled technology plays in enhancing communication among physicians. Studies were identified through a search in three electronic platforms: the Association for Computing Machinery Digital Library, ProQuest, and Web of Science. The search identified 5140 articles; of these, 21 met all inclusion criteria. In general, physicians were satisfied with Internet-enabled technology, but consensus was lacking regarding whether Internet-enabled technology improved efficiency or made a difference to clinical decision-making. Internet-enabled technology can play an important role in enhancing communication among physicians, but the extent of that benefit is influenced by (1) the impact of Internet-enabled technology on existing work practices, (2) the availability of adequate resources, and (3) the nature of institutional elements, such as privacy legislation.

  6. On the security of SSL/TLS-enabled applications

    Directory of Open Access Journals (Sweden)

    Manik Lal Das

    2014-01-01

    Full Text Available SSL/TLS (Secure Socket Layer/Transport Layer Security-enabled web applications aim to provide public key certificate based authentication, secure session key establishment, and symmetric key based traffic confidentiality. A large number of electronic commerce applications, such as stock trading, banking, shopping, and gaming rely on the security strength of the SSL/TLS protocol. In recent times, a potential threat, known as main-in-the-middle (MITM attack, has been exploited by attackers of SSL/TLS-enabled web applications, particularly when naive users want to connect to an SSL/TLS-enabled web server. In this paper, we discuss about the MITM threat to SSL/TLS-enabled web applications. We review the existing space of solutions to counter the MITM attack on SSL/TLS-enabled applications, and then, we provide an effective solution which can resist the MITM attack on SSL/TLS-enabled applications. The proposed solution uses a soft-token based approach for user authentication on top of the SSL/TLS’s security features. We show that the proposed solution is secure, efficient and user friendly in comparison to other similar approaches.

  7. Price and cost estimation

    Science.gov (United States)

    Stewart, R. D.

    1979-01-01

    Price and Cost Estimating Program (PACE II) was developed to prepare man-hour and material cost estimates. Versatile and flexible tool significantly reduces computation time and errors and reduces typing and reproduction time involved in preparation of cost estimates.

  8. A Two-Level Undercut-Profile Substrate for Chemical-Solution-Based Filamentary Coated Conductors

    DEFF Research Database (Denmark)

    Wulff, Anders Christian; Lundeman, Jesper H.; Hansen, Jørn B.

    2016-01-01

    A recently developed two-level undercut-profile substrate (2LUPS), containing two levels of plateaus connected by a curved wall with an undercut profile, enables self-forming filaments in a coated conductor during physical line-of-sight deposition of buffer and superconducting layers. In the pres...

  9. High Performance Low Mass Nanowire Enabled Heatpipe Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Illuminex Corporation proposes a NASA Phase I SBIR project to develop high performance, lightweight, low-profile heat pipes with enhanced thermal transfer properties...

  10. Wind Profiling Radar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Clutter present in radar return signals as used for wind profiling is substantially removed by carrying out a Daubechies wavelet transformation on a time series of...

  11. Prescription Drug Profiles PUF

    Data.gov (United States)

    U.S. Department of Health & Human Services — This release contains the Prescription Drug Profiles Public Use Files (PUFs) drawn from Medicare prescription drug claims for the year of the date on which the...

  12. Fire Management Species Profiles

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The objective of the Fire Management Species Profile project is to identify habitat management objectives that are specific, measurable, achievable, clearly...

  13. Beach Profile Locations

    Data.gov (United States)

    California Department of Resources — Beaches are commonly characterized by cross-shore surveys. The resulting profiles represent the elevation of the beach surface and nearshore seabed from the back of...

  14. Estimating tail probabilities

    Energy Technology Data Exchange (ETDEWEB)

    Carr, D.B.; Tolley, H.D.

    1982-12-01

    This paper investigates procedures for univariate nonparametric estimation of tail probabilities. Extrapolated values for tail probabilities beyond the data are also obtained based on the shape of the density in the tail. Several estimators which use exponential weighting are described. These are compared in a Monte Carlo study to nonweighted estimators, to the empirical cdf, to an integrated kernel, to a Fourier series estimate, to a penalized likelihood estimate and a maximum likelihood estimate. Selected weighted estimators are shown to compare favorably to many of these standard estimators for the sampling distributions investigated.

  15. Household electricity demand profiles

    DEFF Research Database (Denmark)

    Marszal, Anna Joanna; Heiselberg, Per Kvols; Larsen, Olena Kalyanova

    2016-01-01

    Highlights •A 1-min resolution household electricity load model is presented. •Model adapts a bottom-up approach with single appliance as the main building block. •Load profiles are used to analyse the flexibility potential of household appliances. •Load profiles can be applied in other domains, e.......g. building energy simulations. •The demand level of houses with different number of occupants is well captured....

  16. Profils nutritionnels et santé publique*

    Directory of Open Access Journals (Sweden)

    Nafziger Sabine

    2008-01-01

    Full Text Available This article aims to present the position of the European food and drink industry in relation to the setting up and use of nutrient profiles to limiting the communication of health benefits of specific foods to the consumer based on the belief that such claims could ″mask the overall nutritional composition of a food and thus lead the consumer to make inappropriate choices for his diet″. The argumentation is based on the following principles: – claims are part of consumer information and information in itself is worthless without consumer education to enable them to understand the information; – consumer understanding is critical to lead them to change their behaviour which is our ultime goal. This goal cannot be reached if tools such as profiles are used in the legislative framework leading to less information being provided to consumer – in setting the profiling scheme, it is critical to take into account the level of feasibility to meet the profiles through innovation. Only under such condition will the application of profiles be ultimtely of benefit to the consumer. To achieve this, it is essential that food business operators are involved in the seting up of the profiling scheme. The EU food and drink industry is an important pillar of the European economy, serving approximately 500 million consumers with a vast variety of safe and high quality products. It is the largest manufacturing sector in Europe, with a turnover of Euro 870 billion in 2006, and provides direct employment to over 4 million people.

  17. Artificial Neural Network Based State Estimators Integrated into Kalmtool

    DEFF Research Database (Denmark)

    Bayramoglu, Enis; Ravn, Ole; Poulsen, Niels Kjølstad

    2012-01-01

    In this paper we present a toolbox enabling easy evaluation and comparison of dierent ltering algorithms. The toolbox is called Kalmtool and is a set of MATLAB tools for state estimation of nonlinear systems. The toolbox now contains functions for Articial Neural Network Based State Estimation...

  18. Universality of the turbulent velocity profile

    OpenAIRE

    Luchini, Paolo

    2016-01-01

    For nearly a century the universal logarithmic behaviour of the mean velocity profile in a parallel flow was a mainstay of turbulent fluid mechanics and its teaching. Yet many experiments and numerical simulations are not fit exceedingly well by it, and the question whether the logarithmic law is indeed universal keeps turning up in discussion and in writing. Large experiments have been set up in different parts of the world to confirm or deny the logarithmic law and accurately estimate von K...

  19. On nonparametric hazard estimation.

    Science.gov (United States)

    Hobbs, Brian P

    The Nelson-Aalen estimator provides the basis for the ubiquitous Kaplan-Meier estimator, and therefore is an essential tool for nonparametric survival analysis. This article reviews martingale theory and its role in demonstrating that the Nelson-Aalen estimator is uniformly consistent for estimating the cumulative hazard function for right-censored continuous time-to-failure data.

  20. On nonparametric hazard estimation

    OpenAIRE

    Hobbs, Brian P.

    2015-01-01

    The Nelson-Aalen estimator provides the basis for the ubiquitous Kaplan-Meier estimator, and therefore is an essential tool for nonparametric survival analysis. This article reviews martingale theory and its role in demonstrating that the Nelson-Aalen estimator is uniformly consistent for estimating the cumulative hazard function for right-censored continuous time-to-failure data.

  1. Estimating Uncertainty in Annual Forest Inventory Estimates

    Science.gov (United States)

    Ronald E. McRoberts; Veronica C. Lessard

    1999-01-01

    The precision of annual forest inventory estimates may be negatively affected by uncertainty from a variety of sources including: (1) sampling error; (2) procedures for updating plots not measured in the current year; and (3) measurement errors. The impact of these sources of uncertainty on final inventory estimates is investigated using Monte Carlo simulation...

  2. Trends and Potentials of the Smart Grid Infrastructure: From ICT Sub-System to SDN-Enabled Smart Grid Architecture

    Directory of Open Access Journals (Sweden)

    Jaebeom Kim

    2015-10-01

    Full Text Available Context and situational awareness are key features and trends of the smart grid and enable adaptable, flexible and extendable smart grid services. However, the traditional hardware-dependent communication infrastructure is not designed to identify the flow and context of data, and it focuses only on packet forwarding using a pre-defined network configuration profile. Thus, the current network infrastructure may not dynamically adapt the various business models and services of the smart grid system. To solve this problem, software-defined networking (SDN is being considered in the smart grid, but the design, architecture and system model need to be optimized for the smart grid environment. In this paper, we investigate the state-of-the-art smart grid information subsystem, communication infrastructure and its emerging trends and potentials, called an SDN-enabled smart grid. We present an abstract business model, candidate SDN applications and common architecture of the SDN-enabled smart grid. Further, we compare recent studies into the SDN-enabled smart grid depending on its service functionalities, and we describe further challenges of the SDN-enabled smart grid network infrastructure.

  3. GLOBAL PROPERTIES OF M31'S STELLAR HALO FROM THE SPLASH SURVEY. I. SURFACE BRIGHTNESS PROFILE

    Energy Technology Data Exchange (ETDEWEB)

    Gilbert, Karoline M. [Department of Astronomy, University of Washington, Box 351580, Seattle, WA 98195-1580 (United States); Guhathakurta, Puragra [UCO/Lick Observatory, Department of Astronomy and Astrophysics, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064 (United States); Beaton, Rachael L.; Majewski, Steven R.; Ostheimer, James C.; Patterson, Richard J. [Department of Astronomy, University of Virginia, P.O. Box 400325, Charlottesville, VA 22904-4325 (United States); Bullock, James; Tollerud, Erik J. [Center for Cosmology, Department of Physics and Astronomy, University of California at Irvine, Irvine, CA 92697 (United States); Geha, Marla C. [Astronomy Department, Yale University, New Haven, CT 06520 (United States); Kalirai, Jason S. [Space Telescope Science Institute, Baltimore, MD 21218 (United States); Kirby, Evan N. [California Institute of Technology, 1200 East California Boulevard, MC 249-17, Pasadena, CA 91125 (United States); Tanaka, Mikito; Chiba, Masashi, E-mail: kgilbert@astro.washington.edu [Astronomical Institute, Tohoku University, Aoba-ku, Sendai 980-8578 (Japan)

    2012-11-20

    We present the surface brightness profile of M31's stellar halo out to a projected radius of 175 kpc. The surface brightness estimates are based on confirmed samples of M31 red giant branch stars derived from Keck/DEIMOS spectroscopic observations. A set of empirical spectroscopic and photometric M31 membership diagnostics is used to identify and reject foreground and background contaminants. This enables us to trace the stellar halo of M31 to larger projected distances and fainter surface brightnesses than previous photometric studies. The surface brightness profile of M31's halo follows a power law with index -2.2 {+-} 0.2 and extends to a projected distance of at least {approx}175 kpc ({approx}2/3 of M31's virial radius), with no evidence of a downward break at large radii. The best-fit elliptical isophotes have b/a = 0.94 with the major axis of the halo aligned along the minor axis of M31's disk, consistent with a prolate halo, although the data are also consistent with M31's halo having spherical symmetry. The fact that tidal debris features are kinematically cold is used to identify substructure in the spectroscopic fields out to projected radii of 90 kpc and investigate the effect of this substructure on the surface brightness profile. The scatter in the surface brightness profile is reduced when kinematically identified tidal debris features in M31 are statistically subtracted; the remaining profile indicates that a comparatively diffuse stellar component to M31's stellar halo exists to large distances. Beyond 90 kpc, kinematically cold tidal debris features cannot be identified due to small number statistics; nevertheless, the significant field-to-field variation in surface brightness beyond 90 kpc suggests that the outermost region of M31's halo is also comprised to a significant degree of stars stripped from accreted objects.

  4. CMOS Enabled Microfluidic Systems for Healthcare Based Applications

    KAUST Repository

    Khan, Sherjeel M.

    2018-02-27

    With the increased global population, it is more important than ever to expand accessibility to affordable personalized healthcare. In this context, a seamless integration of microfluidic technology for bioanalysis and drug delivery and complementary metal oxide semiconductor (CMOS) technology enabled data-management circuitry is critical. Therefore, here, the fundamentals, integration aspects, and applications of CMOS-enabled microfluidic systems for affordable personalized healthcare systems are presented. Critical components, like sensors, actuators, and their fabrication and packaging, are discussed and reviewed in detail. With the emergence of the Internet-of-Things and the upcoming Internet-of-Everything for a people-process-data-device connected world, now is the time to take CMOS-enabled microfluidics technology to as many people as possible. There is enormous potential for microfluidic technologies in affordable healthcare for everyone, and CMOS technology will play a major role in making that happen.

  5. Competitive intelligence as an enabler for firm competitiveness: An overview

    Directory of Open Access Journals (Sweden)

    Alexander Maune

    2014-06-01

    Full Text Available The purpose of this article is to provide an overview, from literature, about how competitive intelligence can be an enabler towards a firm’s competitiveness. This overview is done under the background of intense global competition that firms are currently experiencing. This paper used a qualitative content analysis as a data collection methodology on all identified journal articles on competitive intelligence and firm competitiveness. To identify relevant literature, academic databases and search engines were used. Moreover, a review of references in related studies led to more relevant sources, the references of which were further reviewed and analysed. To ensure reliability and trustworthiness, peer-reviewed journal articles and triangulation were used. The paper found that competitive intelligence is an important enabler of firm competitiveness. The findings from this paper will assist business managers to understand and improve their outlook of competitive intelligence as an enabler of firm competitiveness and will be of great academic value.

  6. Solar sail propulsion: enabling new capabilities for heliophysics

    CERN Document Server

    Johnson, L; Alhorn, D; Heaton, A; Vansant, T; Campbell, B; Pappa, R; Keats, W; Liewer, P C; Alexander, D; Ayon, J; Wawrzyniak, G; Burton, R; Carroll, D; Matloff, G; Kezerashvili, R Ya

    2010-01-01

    Solar sails can play a critical role in enabling solar and heliophysics missions. Solar sail technology within NASA is currently at 80% of TRL-6, suitable for an in-flight technology demonstration. It is conceivable that an initial demonstration could carry scientific payloads that, depending on the type of mission, are commensurate with the goals of the three study panels of the 2010 Heliophysics Survey. Follow-on solar sail missions, leveraging advances in solar sail technology to support Heliophysics Survey goals, would then be feasible. This white paper reports on a sampling of missions enabled by solar sails, the current state of the technology, and what funding is required to advance the current state of technology such that solar sails can enable these missions.

  7. Vulnerabilities in First-Generation RFID-enabled Credit Cards

    Science.gov (United States)

    Heydt-Benjamin, Thomas S.; Bailey, Daniel V.; Fu, Kevin; Juels, Ari; O'Hare, Tom

    RFID-enabled credit cards are widely deployed in the United States and other countries, but no public study has thoroughly analyzed the mechanisms that provide both security and privacy. Using samples from a variety of RFID-enabled credit cards, our study observes that (1) the cardholder's name and often credit card number and expiration are leaked in plaintext to unauthenticated readers, (2) our homemade device costing around 150 effectively clones one type of skimmed cards thus providing a proof-of-concept implementation for the RF replay attack, (3) information revealed by the RFID transmission cross contaminates the security of RFID and non-RFID payment contexts, and (4) RFID-enabled credit cards are susceptible in various degrees to a range of other traditional RFID attacks such as skimming and relaying.

  8. Make or buy of IT-enabled innovation

    DEFF Research Database (Denmark)

    Mahnke, Volker; Overby, Mikkel Lucas; Özcan, Serden

    2004-01-01

    IT-enabled innovations are of increasing importance for competitive success in most sectors today. This paper offers a novel theoretical and empirically illustrated explanation of why IT-outsourcing strategies differ between innovative first-movers, fast followers and late entrants. In particular...... the implications of governance choices in techno-logical environments characterised by either accumulation or disruption. Keywords: IT-enabled innovation, outsourcing, technological regime, strategic posture, first-mover advantages, financial services, online brokerage......, an analysis of three companies in the financial sector - Charles Schwab, Fidelity Investment, and Merrill Lynch - reveals that governance choices influence a company's ap-propriable learning curve advantage to slow down or speed up adoption and imitation of IT-enabled innovation. Moreover, we discuss...

  9. Estimating constituent loads

    Science.gov (United States)

    Cohn, T.A.; DeLong, L.L.; Gilroy, E.J.; Hirsch, R.M.; Wells, D.K.

    1989-01-01

    This paper compares the bias and variance of three procedures that can be used with log linear regression models: the traditional rating curve estimator, a modified rating curve method, and a minimum variance unbiased estimator (MVUE). Analytical derivations of the bias and efficiency of all three estimators are presented. It is shown that for many conditions the traditional and the modified estimator can provide satisfactory estimates. However, other conditions exist where they have substantial bias and a large mean square error. These conditions commonly occur when sample sizes are small, or when loads are estimated during high-flow conditions. The MVUE, however, is unbiased and always performs nearly as well or better than the rating curve estimator or the modified estimator provided that the hypothesis of the log linear model is correct. Since an efficient unbiased estimator is available, there seems to be no reason to employ biased estimators. -from Authors

  10. Population entropies estimates of proteins

    Science.gov (United States)

    Low, Wai Yee

    2017-05-01

    The Shannon entropy equation provides a way to estimate variability of amino acids sequences in a multiple sequence alignment of proteins. Knowledge of protein variability is useful in many areas such as vaccine design, identification of antibody binding sites, and exploration of protein 3D structural properties. In cases where the population entropies of a protein are of interest but only a small sample size can be obtained, a method based on linear regression and random subsampling can be used to estimate the population entropy. This method is useful for comparisons of entropies where the actual sequence counts differ and thus, correction for alignment size bias is needed. In the current work, an R based package named EntropyCorrect that enables estimation of population entropy is presented and an empirical study on how well this new algorithm performs on simulated dataset of various combinations of population and sample sizes is discussed. The package is available at https://github.com/lloydlow/EntropyCorrect. This article, which was originally published online on 12 May 2017, contained an error in Eq. (1), where the summation sign was missing. The corrected equation appears in the Corrigendum attached to the pdf.

  11. Soil microbial community profiles and functional diversity in limestone cedar glades

    Science.gov (United States)

    Cartwright, Jennifer M.; Dzantor, E. Kudjo; Momen, Bahram

    2016-01-01

    Rock outcrop ecosystems, such as limestone cedar glades (LCGs), are known for their rare and endemic plant species adapted to high levels of abiotic stress. Soils in LCGs are thin (functional diversity were characterized in LCGs using community level physiological profiling (CLPP) and plate-dilution frequency assays (PDFA). Most-probable number (MPN) estimates and microbial substrate-utilization diversity (H) were positively related to soil thickness, soil organic matter (OM), soil water content, and vegetation density, and were diminished in alkaline soil relative to circumneutral soil. Soil nitrate showed no relationship to SMCs, suggesting lack of N-limitation. Canonical correlation analysis indicated strong correlations between microbial CLPP patterns and several physical and chemical properties of soil, primarily temperature at the ground surface and at 4-cm depth, and secondarily soil-water content, enabling differentiation by season. Thus, it was demonstrated that several well-described abiotic determinants of plant community structure in this ecosystem are also reflected in SMC profiles.

  12. Geoelectric structure estimated from magnetotelluric data from the ...

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Earth System Science; Volume 123; Issue 8. Geoelectric structure estimated from ... Geoelectric strike and resistivity structure of the crust have been estimated from 37 magnetotelluric (MT) data sites along a profile from Roorkee to Gangotri in Uttarakhand Himalaya. Impedance decomposition ...

  13. [Risk profile of hypertensive patients].

    Science.gov (United States)

    Bulas, J; Ilcík, M; Kozlíková, K; Murín, J

    2010-08-01

    Arterial hypertension is an important component of global cardiovascular risk profile of an individual patient. Estimation of global cardiovascular risk besides the blood pressure level incorporates all risk factors (RF), preclinical cardiovascular diseases (hypertension--induced target organ disease--TOD) and associated clinical conditions, and it should influence the therapy and long-term patient management. A group of metabolic risk factors comprizes several modifyable risk factors, detection of which influences the antihypertensive drug selection. The main goal of antihypertensive therapy is to achieve maximum reduction in the long-term total risk of cardiovascular disease, treating all modifyable risk factors in hypertensive patients. In this work we present the results of group of 60 hypertensive patients examined for different risk factors detection and subsequent total cardiovascular risk estimation. The mean number of risk factors per patient was 4,1 (3% of patients had two RF, 22% of patients had three RF, 37% patients had four factors and 38% patients had five RF present). The ischaemic heart disease was found more frequently among hypertensives with higher number of RF. Metabolic syndrom (MS) was present in 53% of patients. Hypertensives with MS have higher rate of RF (4.9 per person) comparing to thouse without MS (3.6 RF per person). We found a quite high number of RF per individual hypertensive patient; the serious unfavourable consequence of this finding was the increased rate of coronary heart disease with the increasing number of risk factors found.

  14. Constructing Chains of Enablers for Alternative Economic Futures

    DEFF Research Database (Denmark)

    Hull Kristensen, Peer

    2016-01-01

    that have made possible novel forms of work-organization and business models. These institutional enablers are capacitating on the "supply side" by enabling labor to take active part in shaping enterprises supported by social welfare services (training, child- and eldercare, support for housing, etc.......). Being generally inclusive of social movements, welfare states has also helped identify new needs on the "demand side" such as child- and eldercare, environmental protection, alternative energy and energy-saving, health, and city planning. This is illustrated by a number of firms that supply products...

  15. A survey of enabling technologies in synthetic biology.

    Science.gov (United States)

    Kahl, Linda J; Endy, Drew

    2013-05-10

    Realizing constructive applications of synthetic biology requires continued development of enabling technologies as well as policies and practices to ensure these technologies remain accessible for research. Broadly defined, enabling technologies for synthetic biology include any reagent or method that, alone or in combination with associated technologies, provides the means to generate any new research tool or application. Because applications of synthetic biology likely will embody multiple patented inventions, it will be important to create structures for managing intellectual property rights that best promote continued innovation. Monitoring the enabling technologies of synthetic biology will facilitate the systematic investigation of property rights coupled to these technologies and help shape policies and practices that impact the use, regulation, patenting, and licensing of these technologies. We conducted a survey among a self-identifying community of practitioners engaged in synthetic biology research to obtain their opinions and experiences with technologies that support the engineering of biological systems. Technologies widely used and considered enabling by survey participants included public and private registries of biological parts, standard methods for physical assembly of DNA constructs, genomic databases, software tools for search, alignment, analysis, and editing of DNA sequences, and commercial services for DNA synthesis and sequencing. Standards and methods supporting measurement, functional composition, and data exchange were less widely used though still considered enabling by a subset of survey participants. The set of enabling technologies compiled from this survey provide insight into the many and varied technologies that support innovation in synthetic biology. Many of these technologies are widely accessible for use, either by virtue of being in the public domain or through legal tools such as non-exclusive licensing. Access to some

  16. Surgical Materials: Current Challenges and Nano-enabled Solutions.

    Science.gov (United States)

    Annabi, Nasim; Tamayol, Ali; Shin, Su Ryon; Ghaemmaghami, Amir M; Peppas, Nicholas A; Khademhosseini, Ali

    2014-10-01

    Surgical adhesive biomaterials have emerged as substitutes to sutures and staples in many clinical applications. Nano-enabled materials containing nanoparticles or having a distinct nanotopography have been utilized for generation of a new class of surgical materials with enhanced functionality. In this review, the state of the art in the development of conventional surgical adhesive biomaterials is critically reviewed and their shortcomings are outlined. Recent advancements in generation of nano-enabled surgical materials with their potential future applications are discussed. This review will open new avenues for the innovative development of the next generation of tissue adhesives, hemostats, and sealants with enhanced functionality for various surgical applications.

  17. Enabling carers to administer depot injections: an action research study

    OpenAIRE

    Crowley, John J.

    2014-01-01

    This study has its origins in a question posed by a patient diagnosed with a psychotic illness, as to why her husband could not administer depot injection. Following local and national discussion the study aims were;\\ud \\ud - to explore the elements of risk management involved in enabling carers (supportive persons) to give depot injections\\ud \\ud - to develop a training package that may be useful for others to use should such a request be made\\ud \\ud - to establish whether enabling supportiv...

  18. New density estimation methods for charged particle beams with applications to microbunching instability

    Directory of Open Access Journals (Sweden)

    Balša Terzić

    2011-07-01

    Full Text Available In this paper we discuss representations of charge particle densities in particle-in-cell simulations, analyze the sources and profiles of the intrinsic numerical noise, and present efficient methods for their removal. We devise two alternative estimation methods for charged particle distribution which represent significant improvement over the Monte Carlo cosine expansion used in the 2D code of Bassi et al. [G. Bassi, J. A. Ellison, K. Heinemann, and R. Warnock, Phys. Rev. ST Accel. Beams 12, 080704 (2009; PRABFM1098-440210.1103/PhysRevSTAB.12.080704G. Bassi and B. Terzić, in Proceedings of the 23rd Particle Accelerator Conference, Vancouver, Canada, 2009 (IEEE, Piscataway, NJ, 2009, TH5PFP043], designed to simulate coherent synchrotron radiation (CSR in charged particle beams. The improvement is achieved by employing an alternative beam density estimation to the Monte Carlo cosine expansion. The representation is first binned onto a finite grid, after which two grid-based methods are employed to approximate particle distributions: (i truncated fast cosine transform; and (ii thresholded wavelet transform (TWT. We demonstrate that these alternative methods represent a staggering upgrade over the original Monte Carlo cosine expansion in terms of efficiency, while the TWT approximation also provides an appreciable improvement in accuracy. The improvement in accuracy comes from a judicious removal of the numerical noise enabled by the wavelet formulation. The TWT method is then integrated into the CSR code [G. Bassi, J. A. Ellison, K. Heinemann, and R. Warnock, Phys. Rev. ST Accel. Beams 12, 080704 (2009PRABFM1098-440210.1103/PhysRevSTAB.12.080704], and benchmarked against the original version. We show that the new density estimation method provides a superior performance in terms of efficiency and spatial resolution, thus enabling high-fidelity simulations of CSR effects, including microbunching instability.

  19. Assimilation of Ground-Penetrating Radar Data to Update Vertical Soil Moisture Profile

    Science.gov (United States)

    Tran, Phuong; Vanclooster, Marnik; Lambot, Sébastien

    2013-04-01

    The root zone soil moisture has been long recognized as important information for hydrological, meteorological and agricultural research. In this study, we propose a closed-loop data assimilation procedure to update the vertical soil moisture profile from time-lapse ground-penetrating radar (GPR) data. The hydrodynamic model, Hydrus-1D (Simunek et al., 2009), is used to propagate the system state in time and a radar electromagnetic model (Lambot et al., 2004) to link the state variable (soil moisture profile) with the observation data (GPR data), which enables us to update the soil moisture profile by directly assimilating the GPR data. The assimilation was performed within the maximum likelihood ensemble filter (MLEF) framework developed by Zupanski et al., (2005), for which the problem of nonlinear observation operator is solved much more effectively than the Ensemble Kalman filter (EnKF) techniques. The method estimates the optimal state as the maximum of the probability density function (PDF) instead of the minimum variance like in most of the other ensemble data assimilation methods. Direct assimilation of GPR data is a prominent advantage of our approach. It avoids solving the time-consuming inverse problem as well as the estimation errors of the soil moisture caused by inversion. In addition, instead of using only surface soil moisture, the approach allows to use the information of the whole soil moisture profile, which is reflected via the ultra wideband (UWB) GPR data, for the assimilation. The use of the UWB antenna in this study is also an advantage as it provides more information about soil moisture profile with a better depth resolution compared to other classical remote sensing techniques. Our approach was validated by a synthetic study. We constructed a synthetic soil column with a depth of 80 cm and analyzed the effects of the soil type on the data assimilation by considering 3 soil types, namely, loamy sand, silt and clay. The assimilation of GPR

  20. Review on Millimeter Wave Antennas- Potential Candidate for 5G Enabled Applications

    Directory of Open Access Journals (Sweden)

    M. A. Matin

    2016-12-01

    Full Text Available The millimeter wave (mmWave band is considered as the potential candidate for high speed communication services in 5G networks due to its huge bandwidth. Moreover, mmWave frequencies lead to miniaturization of RF front end including antennas. In this article, we provide an overview of recent research achievements of millimeter-wave antenna design along with the design considerations for compact antennas and antennas in package/on chip, mostly in the 60 GHz band is described along with their inherent benefits and challenges. A comparative analysis of various designs is also presented. The antennas with wide bandwidth, high-gain, compact size and low profile with easiness of integration in-package or on-chip with other components are required for 5G enabled applications.